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Review

Genetic Approaches to Increase Arabinoxylan and β-Glucan Content in Wheat

1
Department of Sustainable Soils and Crops, Rothamsted Research, Harpenden AL5 2JQ, UK
2
Department of Plant Sciences for the Bioeconomy, Rothamsted Research, Harpenden AL5 2JQ, UK
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Plants 2023, 12(18), 3216; https://doi.org/10.3390/plants12183216
Submission received: 1 August 2023 / Revised: 24 August 2023 / Accepted: 28 August 2023 / Published: 8 September 2023

Abstract

:
Wheat is one of the three staple crops feeding the world. The demand for wheat is ever increasing as a relatively good source of protein, energy, nutrients, and dietary fiber (DF) when consumed as wholemeal. Arabinoxylan and β-glucan are the major hemicelluloses in the cell walls and dietary fiber in wheat grains. The amount and structure of DF varies between grain tissues. Reducing post-prandial glycemic response as well as intestinal transit time and contribution to increased fecal bulk are only a few benefits of DF consumption. Dietary fiber is fermented in the colon and stimulates growth of beneficial bacteria producing SCFA, considered responsible for a wide range of health benefits, including reducing the risk of heart disease and colon cancer. The recommended daily intake of 25–30 g is met by only few individuals. Cereals cover nearly 40% of fiber in the Western diet. Therefore, wheat is a good target for improving dietary fiber content, as it would increase the fiber intake and simultaneously impact the health of many people. This review reflects the current status of the research on genetics of the two major dietary fiber components, as well as breeding approaches used to improve their quantity and quality in wheat grain.

1. Introduction

Dietary fiber is defined by the CODEX Alimentarius Commission as carbohydrate polymers that are neither hydrolyzed nor absorbed in the small intestine and have a degree of polymerization of at least three monomeric units [1]. Most of these carbohydrates are found in plant cell walls where they provide structural support, but they also have other functions, such as regulation of growth and signaling during plant development and stress [2,3,4].
Dietary fiber has many beneficial effects on human health, including improving cardiovascular health, regulating blood lipids, modulating post-prandial blood glucose, modulating the amount and diversity of gut microbiota, and decreasing intestinal inflammation [5,6,7,8,9]. It may even mitigate loss of skeletal muscle mass in older adults [10]. Internationally, regulatory bodies allow specific health claims to be made for food products that contain a certain minimum amount of dietary fiber (EFSA Panel on Dietetic Products, Nutrition and Allergies, 2010; USFDA, 2018).
The health benefits of dietary fibers relate to their different physicochemical characteristics (solubility, viscosity, and fermentability). Non-viscous and non-fermentable dietary fiber (such as wheat bran) plays a role in promoting gut motility largely through its bulking characteristics [8,11]. Viscous dietary fiber (mostly soluble dietary fiber) is related to cardiovascular and glycemic benefits through its effect on the rheological properties of the digesta, which decreases the rate of digestion and absorption of macronutrients [12,13,14]. Fermentable dietary fiber acts as a prebiotic, providing a carbon source for the growth of beneficial microbiota in the colon. Fermentation of these dietary fibers results in specific changes in the composition and/or activity of gut microbiota, which supports host health [15,16,17]. Prebiotic activities of cereal grain polysaccharides have been thoroughly tested. In vitro fermentation studies have shown the possibility of synergistic activities between arabinoxylan (AX) and β-glucan promoting the increase in the total number of bacteria as well as beneficial groups of Bifidobacterium and Clostridium coccoides/Eubacterium groups. Similarly, the concentration of short-chain fatty acids (SCFAs) increased. Larger amounts of AX appear to prompt the production of acetate, whereas β-glucan promotes the production of propionate [18].
Consumption of dietary fiber varies between countries, gender, and age. When considering Europe and North America only, adult males consume 15–25 g per day, while adult females consume 14–21 g per day. In general, consumption is higher in Europe than in North America [19]. The recommended daily intake of dietary fiber for improved health is approximately 30 g for adults [20] with a specific recommendation of 10 g AX per day and 3 g of β-glucan per day to obtain specific health effects [19]. Only a minority of countries reach the very minimum recommended intake of dietary fiber per day (25 g; Norway, Germany, and Hungary), and this is only achieved in the male segment of the population [21]. Grain products are the largest source of dietary fiber in Europe and North America (32–49%), with the majority of this coming from wheat and bread alone, contributing approximately 20% of the average daily intake of dietary fiber [19]. In 2020, approximately 71% of wheat produced globally was consumed as food (FAO.org, Figure 1). This is predicted to remain stable as a percentage of total food consumption (~70%), while the absolute consumption as food is predicted to increase by 57 Mt by 2031 (FAO.org; OECD/FAO, 2022). Therefore, wheat is a good target for the improvement of dietary fiber content, as it would impact the health of people worldwide.

Wheat Grain and Dietary Fiber

Wheat grain consists of three major milling fractions: the bran, starchy endosperm, and germ. These fractions consist of different tissue types which are characterized by distinct chemical compositions.
The bran fraction contains several differentiated layers, namely the pericarp (outer and inner), the seed coat, and nucellar epidermis (hyaline layer). This fraction has a high cellulose, AX, and phenolic content compared to the starchy endosperm [22]. The outer cell layers enclose the aleurone and starchy endosperm, which constitutes the largest part of the grain. The starchy endosperm contains a large amount of glucose in the form of starch, with less AX and phenolic compounds compared to outer layers, while the aleurone contains a greater amount of protein and lipids [23]. The germ consists of the embryonic axis and scutellum, and also contains more protein and lipids than fractions in the center of the grain [23]. In general, the milling process separates the different layers of the grain to separate flour and semolina from the bran and germ [22]. The endosperm (consisting of the aleurone layer and starchy endosperm) constitutes the largest proportion of the grain (approximately 83%), while the germ represents about 3% and the peripheral layers approximately 14% [22]. While the aleurone is part of the endosperm, it is removed during the milling process and is considered part of the bran by millers [24,25]. The aleurone layer is typically only one cell layer thick and represents the only live endosperm tissue at maturity. It does, however, represent a rich source of nutrients including dietary fiber, proteins, minerals, vitamins, and flavonoids [25,26,27].
In mature wheat grain, about 12% accounts for cell wall (CW) polysaccharides. The major components in the CW and the major dietary fiber components in wheat grain are AX (accounting for 65–70% of CW material) and β-glucan (around 25%) with small amounts of cellulose (2–3%) and glucomannans (2–7%). Additionally, two non-CW-derived, non-starch polysaccharides contributing to dietary fiber in wheat endosperm are water-soluble arabinogalactan protein (AGP), accounting for 0.4% dry weight (DW), and fructans, accounting for ~1.5% DW of white flour [28,29,30]. Finally, resistant starch, the non-digestible portion of starch reaching the colon intact accounting for 0.8% of endosperm DW, can also be included as wheat dietary fiber [31].
Due to the wide-ranging health benefits of dietary fiber, wheat is a prime target for nutritional improvement through the increase in constituents like AX and β-glucan. Below, we review the current status of research on the genetics that underpin the two major dietary fiber components, as well as breeding approaches used to improve the content and quality of AX and β-glucan in wheat.

2. Arabinoxylan (AX)

Arabinoxylan (AX) is thought to play a key role in regulating the strength of wheat endosperm primary cell wall, where it is the most prevalent hemicellulose. The AX backbone is made up of β-1,4-linked xylopyranose units decorated with α-arabinofuranose linked to O-2 and/or O-3 carbon of xylose units. The degree of arabinosyl substitution differs between cells within the endosperm [28].
Some of the 3-linked arabinose residues can be further decorated with ferulic acid at 5-O-position. Ferulic acid decorates only 0.2–0.4% (w/w) of WE-AX and 0.6–0.9% (w/w) of WU-AX in starchy endosperm [32]. Oxidation of ferulates and their close proximity on two adjacent AX chains can form diferulate crosslinks, which affect the physicochemical properties of AX in the cell wall. Particularly, this affects AX solubility and viscosity of water extract [30]. The majority of hydroxycinnamic acid derivates (ferulic, coumaric, and sinapic acids) and their dimers were found in aleurone and scutellum. Ester-linked p-coumaric acid (pCA) and ferulate dimers (8,5′, 8–5′ benzo and 5–5′ diferulates) were not detected in pure dissected wheat starchy endosperm [22]. Members of the “Mitchell clade” within the BAHD acyltransferase superfamily are involved in xylan esterification [33,34] but their mode of action has not been fully established yet.
A more complex form of AX occurs in outer layers of the wheat grain, in the pericarp and testa, where it can be also substituted with glucuronic acid [35].
The total arabinoxylan (TO-AX) content of wheat grain comprises water-extractable (WE-AX) and water-unextractable arabinoxylan (WU-AX) fractions. Other than water solubility, WE-AX and WU-AX differ in the polymer chain length, the arabinose:xylose ratio, and degree of feruloylation, resulting in different physical properties and biological functions. Whereas WU-AX has a high molecular weight, feruloylation, and a low degree of arabinose substitution, WE-AX has a higher degree of arabinosylation and lower polymer chain length [36].
The genotype (G) and the environmental conditions (E) determine the properties and content of arabinoxylan. Durum wheat, compared to winter and spring bread wheat, has in general lower variability in the AX properties. The AX content in wheat and other main cereals is summarized in Table 1.

2.1. Genetic Control of Arabinoxylan Content and Structure

Identification of candidate genes involved in AX biosynthesis has been mainly focused on hexaploid wheat. First, using an approach involving the differential expression of orthologues genes, several transglycosylases (GTs) have been identified. This included GTs from families GT2 CslC, GT43, GT47, GT48, GT61, GT64, and GT77. Later, the number of candidates involved in AX synthesis was reduced down to three GT families, GT43, GT47, and GT61. Additionally, genes from the BAHD acyl-CoA transferase superfamily were identified as responsible for the feruloylation of AX [33].
Transcriptome analysis of developing wheat starchy endosperm using RNA-Seq identified a number of homologous genes from the above-mentioned GT families involved in many things, whether in xylan backbone synthesis (GT43 and GT47) or the arabinosylation of xylan (GT61). Their expression profiles vary to a large extent during the grain filling stage between 10 and 28 dpa, respectively. Wheat TaGT47_2 and TaGT61_1 are the two most highly expressed AX biosynthesis genes in the endosperm during this grain developmental stage. Only four GT43 genes were expressed in starchy endosperm, TaGT43_1 and TaGT43_2 in high abundance and TaGT43_3 and TaGT43_4 in low abundance. Besides the highly abundant TaGT47_2, another eight GT47 genes, namely TaGT47_1, TaGT47_3, TaGT47_4, TaGT47_5, TaGT47_6, TaGT47_10, TaGT47_13, and TaGT47_14, were found at low abundance. Finally, another five GT61 genes, with abundance substantially lower than the highly expressed TaGT61_1, were identified in developing endosperm, namely TaGT61_2, TaGT61_9, TaGT61_11, TaGT61_13, and TaGT61_14. Additionally, five BAHD genes identified as candidates for the feruloylation of AX were found in wheat developing grain, TaBAHD1 to TaBAHD5, with much greater expression levels in whole grain compared to starchy endosperm only [50]. This correlates with a greater level of feruloylation in the aleurone.
The backbone of AX is considered to be synthesized by xylan synthase, a complex of three subunits encoded by IRX14, IRX9 (both GT43 family), and IRX10 (GT47). Whereas IRX10 is believed to be responsible for the catalysis of xylan synthesis, IRX9 and IRX14 are required for positioning the xylan synthase complex in the Golgi [51].
Utilizing various transgenic wheat lines with RNAi constructs targeting suppression of AX synthetic genes led to alterations in quantity and structure of AX in wheat endosperm. Targeting the most highly expressed genes in xylan backbone synthesis TaGT43_1, TaGT43_2 (IRX9), and/or TaGT47_2 (IRX10) in a single RNAi construct resulted in a 40–50% decrease in AX amount and a decrease in AX polysaccharide chain length in TaGT43_2 RNAi [52,53]. Similarly, triple RNAi transgenic lines for GT43_1, GT43_2, and GT47_2 genes and for a triple knock-out mutant of TaIRX9b, stacking loss-of-function alleles in A,B,D homologues of GT43_2, resulted in a similar reduction in total AX of 47% and 65%, respectively [53,54].
The existence of multiple copies of xylan backbone synthesis genes present in the hexaploid wheat genome led to a hypothesis for the presence of more than one xylan synthase complex, e.g., one composed of highly expressed genes, GT43_1 (IRX14), GT43_2 (IRX9), and GT47_2 (IRX10), and another composed of subunits encoded by less expressed IRX9 (GT43_6, GT43_3, or GT43_4), IRX14 (GT43_10), and IRX10 (GT47_1 or GT47_4) genes. The existence of various xylan synthase complexes would explain the synthesis of different forms of AX and the necessity for a minimum AX level in wheat grain to maintain normal seed development [53,55]. This hypothesis still remains to be confirmed. On the other hand, a xylan synthase complex has been described in asparagus, where the co-expression of AoIRX9, AoIRX10, and AoIRX14A is required to form this complex and an equivalent formed of IRX9L, IRX10L, and IRX14 has been argued to exist in Arabidopsis thaliana [51,56].
Two GT61 genes, TaXAT1 and TaXAT2, abundantly expressed in wheat grain, are involved in AX biosynthesis by decorating xylan backbone. RNAi suppression of TaXAT1 showed a 70–80% decrease in mono-substituted AX oligosaccharides, indicating that TaXAT1 is responsible for the majority of α-1,3-linked arabinofuranosyl mono-substitution of wheat AX. Similarly, heterologously expressed TaXAT2 in Arabidopsis gux-background lacking the glucuronic acid decoration on the xylan backbone confirmed its role in adding 3-linked arabinosylation to the xylan backbone. There was no effect on di-substituted AX oligosaccharides found in any of these constructs [57,58]. Genes involved in the biosynthesis of AX are summarized in Table 2 and their position on wheat chromosomes is depicted in Figure 2A.

2.2. QTLs Linked to Arabinoxylan Content

One of the most important steps in crop improvement is to detect and precisely localize chromosomal regions (loci) underlying agronomically relevant quantitative traits—in our case, arabinoxylan content, its solubility and structure, or in general, grain fiber content.
Quraishi et al. used 156 wheat lines (Triticum aestivum) from the HEALTHGRAIN diversity panel [64] and identified 12 QTLs for grain dietary fiber in bread wheat (T. aestivum) on chromosomes 1B, 3A, 3D, 5B, 6B, 7A, and 7B and three meta-QTL for WE-AX-related viscosity on chromosomes 1B, 3D, and 6B. They also demonstrated that the major locus for this trait is located on chromosome 1B. They identified 73 candidate genes for being involved in grain fiber content [65].
In hexaploid wheat cultivar (Berkut × Krichauff doubled haploid cross, grown at two sites in Australia in 2007 and 2009), Nguyen et al. reported QTLs for total AX content on chromosomes 1A, 2A, 3D, 4D, 6B, and 7A, where two of these QTLs were found to have a major effect (on chromosomes 2A and 4D) on grain AX. These QTLs (on 2A and 4D) were further validated and all lines carrying both favorable alleles contributed significantly to an increase in grain AX [66].
Marcotuli et al. investigated the genetic variability of AX content in tetraploid wheat genotypes (panel of 104 Triticum turgidum wheats grown in southern Italy in summer 2012) and identified genetic regions attributable to grain AX content characterized by SNP markers using a genome-wide association study (GWAS). In total, 37 significant marker-traits (MTAs) identifying 19 quantitative trait loci (QTLs) associated with AX content were revealed. Nine out of these markers showed high sequence similarity with annotated genes encoding enzymes implicated in AX biosynthesis, including glycosyltransferases from the GT1, GT31, and GT48 families as well as glycosyl hydrolases from families GH9, GH35, and GH47 [67].
Yang et al. analyzed 240 recombinant inbred wheat lines derived from PH82–2 (hard winter wheat) × Neixiang 188 (soft winter wheat) cross for wholemeal total (TO-AX) and water-unextractable (WU-AX) and water-extractable AX (WE-AX) content. They identified four additive QTLs for TO-AX content (on chromosomes 1B, 1D, 3B, and 5B), two additive QTLs for WU-AX content (on chromosomes 1B and 1D), and nine QTLs for WE-AX content (on chromosomes 1A, 1B, 2B, 3B, 5A, 5B, 6B, 7A, and 7B), explaining up to 14.6%, 2.4%, and 1.4%, respectively, of phenotypic variance [68].
Most of the research has been conducted on wholemeal flour, except for the two most recent works that have been carried out on refined/white flour.
Analyzing crosses between the high-AX cultivar of Chinese spring wheat Yumai-34 and three cultivars with an average amount of AX (Ukrainka, Altigo, and Claire) identified several QTLs, including a major QTL on chromosome 1B for high relative viscosity/total AX. KASP (Kompetitive allele specific PCR) marker for 1B QTL, the Yumai-34 high-AX allele, was validated, while analyzing a Yumai-34 cross with another high-AX variety (Valoris) identified a second major QTL on chromosome 6B for relative viscosity, with Valoris being the increasing allele [69].
Ibba et al. used a set of 175 bread wheats to identify significant genomic regions associated with AX content in white flour. They found two QTLs associated with total AX and seven with WE-AX content variation. The region on chromosome 1B coincides for both AX fractions and was the most significantly associated one with the observed phenotypic variation. Four KASP markers for the 1B QTL were developed and validated, and a candidate gene encoding glycosyl transferase GT61 [57] associated with the observed variation in AX was also identified [70].
The identification of QTLs and KASP markers for AX-related traits will significantly contribute to the improvement of wheat grain dietary fiber in breeding programs. All identified QTLs for AX-related traits are summarized in Table 3.

2.3. Breeding Approaches to Improve Arabinoxylan

To our knowledge, increasing dietary fiber, and AX particularly, has not been a goal of any breeding program so far. There is evidence in the scientific literature that it is possible to increase arabinoxylan content and both water-extractable and unextractable AX in white flour without compromising grain quality or yield [71]. Several mapping populations have been developed and used to determine the genetic control of AX. General breeding approaches to improve AX are summarized in Figure 3.
The first mapping populations were developed in the 1990s, by Van Deynze and colleagues in 1995 and by a group at INRA Clermont-Ferrand in 1997. The first population, where 115 lines were derived from a cross between synthetic wheat (a cross between T. tauschii and Altar 84—durum wheat cultivar) and Mexican spring wheat Opata 85, was used to map group 1 chromosomes of Triticeae species [72]. In the second population, 106 intervarietal doubled haploid lines obtained from a cross between French cultivar Courtot and Chinese Spring were analyzed for establishing a molecular map using restriction fragment length polymorphism probe (RFLP) [73]. These two mapping populations of bread wheats were used to analyze water-extractable AX, relative viscosity of wheat flour aqueous extract, and arabinose-xylose (Ara/Xyl) ratio. A QTL for relative viscosity and Ara/Xyl ratio was found on chromosome 1BL explaining 32–37% of the variation in relative viscosity and 35–42% variation in Ara/Xyl ratio in wheat endosperm [74].
Two recombinant populations derived from crosses between high- and low-WE-AX parents (Valoris × Isengrain and RE0006 × CF0007) were used together with the measurement of relative viscosity of flour extract as an indicator of WE-AX content. This allowed Charmet et al. to identify a QTL on chromosome 6B present in both populations to explain up to 59% of the phenotypic variation for WE-AX content and viscosity [75].
Another attempt to improve the dietary fiber content in white flour has been made by crossing Yumai-34, a Chinese wheat cultivar high in AX content (released in 1988), and three Central European wheat varieties (Lupus, Mv-Mambo, Ukrainka; Table 4) well-adapted to environmental conditions, including high productivity and good abiotic stress resistance. In total, 31 agronomically attractive lines, combining high total (TO-AX) and water-extractable (WE-AX) AX in flour, were selected. The increase in WE-AX content was greatest in the genetic background of the Ukrainka variety, and the TO-AX content was significantly higher in five Yumai34 × Ukrainka and five Yumai34 × Lupus lines than in the Yumai34 parent [71].
The addition of Aegilops chromosomes improved TO-AX content significantly only after adding U chromosomes 5Ug and 7Ug of Ae. geniculata and 1Ub of Ae. biuncialis to Chinese Spring bread wheat cultivar (Table 4). Water-extractable AX (WE-AX) was significantly improved after adding Aegilops U and M chromosomes 3Ug, 4Ug, 5Ug, 6Ug, 7Ug, 5Mg, and 7Mg of Ae. geniculata and 2Mb and 7Mb of Ae. biuncialis to bread wheat under both optimal and drought conditions [76].

2.4. Plant Breeding and Arabinoxylan Heritability

There is a substantial variation in components of wheat grain, including dietary fiber and its quantity and composition. These variations are consequences of three effects: genetic differences between lines (genotypes), influence of environmental conditions (including weather—hot, dry, wet, etc., agricultural practices, and soil conditions), and interactions between these two—genotype and environment (G × E) interactions. The “broad sense heritability” of dietary fiber and other grain components can be calculated by comparing the sample composition of multiple genotypes grown in multiple environments (sites and/or years) [79]. The availability of data is the limiting step in estimating heritability for a given trait and assessing whether or not this is available to breeders.
A dataset of 26 wheat lines grown in four locations (in a single year) in six environments (over three years), to simulate the wide range of climatic conditions within EU member states, was used in statistical models to find out the relationship between genotype and environment effect (G × E interaction) on fiber content in wholemeal bran and flour fractions. For dietary fiber-related traits, the following model was used: X = µ + E + G + G × E + ε, where µ is the grant mean, E the environment main effect, G the genotype main effect, G × E the interaction between the two main effects, and ε the residual error. The individual dietary fiber traits showed differences to which they vary between lines and environment, with the highest variability for water-extractable AX (WE-AX) in flour [38,80]. The dietary fiber traits, in bran and flour fractions, show high genetic heritability. Notably in flour, total (TO-) and water-extractable arabinoxylan (WE-AX) showed heritability of about 70% and 60%, respectively [79]. For TO-AX and WE-AX, the heritability was lower, 32% and 47%, respectively, with great variation attributed to the environmental effect, 30% for TO-AX and 39% for WE-AX in bran [38].
Genetic improvement has played a pivotal role in improving the yield and performance of wheat in the post-war period. Authors in [81], using nearly 53,000 observations, calculated that in the UK between 1982 and 2007, up to 88% of yield improvement in cereals can be attributed to genetic improvement rather than to changes in agronomy. Previously, between 1948 and 1981, genetic and environmental effects were of roughly equal importance, but plant breeding of winter wheat still contributed to around 60% of improvement. This includes the introduction of dwarfing Rht-genes in the 1970s (the “green revolution”), which increased the harvest index and the yield [82]. Within all these years (1948 to 2007), the grain yield of winter wheats increased from around 5 to 8 t/ha.
The effect of intensive breeding on starch and protein, mainly gluten, is widely documented. The knowledge of the impact of intensive breeding on other bioactive components is sparse, including arabinoxylan.
A study comparing the AX content in a small panel of old and modern Italian durum wheats showed no difference in AX and β-glucan content in wholemeal and semolina (refined flour of durum wheat) but showed higher solubility of AX in modern varieties [83].
Another study, performed by [82], analyzed 39 UK-adapted wheat cultivars from years between 1790 and 2012 (‘UK Heritage Wheats’) grown in a randomized 3-year field trial experiment, analyzing arabinoxylan and β-glucan (dietary fiber), soluble sugars, and polar metabolites. The study indicated a strong effect of environment on these traits but also concluded an increasing trend in amounts of AX accounting for 21% of the total variations (although not a main breeding trait) due to the effect of intensive breeding [82].
A comparison of total AX content in white flours from ~150 wheat genotypes showed wide variation between 1.4 and 2.8% DW with about 25–50% of the total being water-soluble. About 70% of the total AX and 60% of the water-soluble AX variation can be attributed to genotype [84,85].
The contents of total (TO-) and water-extractable (WE-) pentosans (measured as a proxy for arabinoxylan) were significantly affected by genotype (G), environment (E), and G × E interactions in high-AX, good-breadmaking-quality crosses adapted to European conditions. It has been found that the broad sense heritability for WE-pentosans (h2 0.825) is significantly higher than for TO-pentosans (0.341). The amount of WE-AX and its composition were significantly affected by genotype (0.840 and 0.721), whereas the amount and composition of TO-AX were strongly affected by the environment, with h2 of 0.516 and 0.372, respectively [86].
Finally, Shewry et al. found statistically significant increases in the amount of arabinoxylan, as well as β-glucan, in white flour of wheats from ‘UK Heritage samples’ [82,84].

3. Mixed Linkage β-Glucan

The term β-glucan refers to any polymer of β D-glucose linked with glycosidic bonds. Differences in the type of glycosidic bond give these polysaccharides unique characteristics. In plants, the most abundant form of β-glucan is cellulose, consisting of linear chains of (1–4)-linked β-D-glucopyranosyl monomers, resulting in an insoluble polymer [87]. In contrast, mixed linkage β-glucan (also referred to simply as β-glucan, and referred to as such in this paper) consists of unbranched and unsubstituted blocks of β-(1–4) linked D-glucopyranosyl units (mainly cellotriosyl (G3) and cellotetraosyl (G4) blocks) linked together with β-(1,3) linkages. A β-glucan molecule can either be soluble or insoluble depending on the ratio of G3:G4 units present in the polysaccharide. For example, any long stretches consisting of only G3 or G4 could favor associative interactions with other long linear polysaccharides, causing decreased solubility [88,89]. The β-(1,3) linkages are non-randomly distributed because they never appear next to each other, but the G3 and G4 units are randomly arranged. The structural characteristics of β-glucan affects the health benefits associated with it; insoluble β-glucan affects bulking and gut motility [90,91,92], while both soluble and insoluble β-glucan can have beneficial effects on blood glucose and lipids [93,94,95,96].
β-glucan appears in members of the grasses (Poaceae) almost exclusively with some exceptions (i.e., Equisetum and some lichens) [97]. β-glucan content varies between genus, within species, between varieties, and in relation to developmental stage and growing environment [98,99,100,101]. It is suggested that β-glucans are not essential structural components of cells walls but rather represent a secondary source of metabolizable energy in the form of glucose [102,103,104]. Any attempt at adjusting the amount of β-glucan could therefore have a knock-on effect on the carbon pool in the plant. Results from different studies show variable alterations in the carbon pool especially in terms of starch content. Reduction in β-glucan content in the grains of a Brachypodium distachyon TILLING mutant (heterozygous for a loss-of-function mutation in BdSclF6) led to a more than 2.5-fold increase in starch compared to wild type [105]. These plants showed no difference in grain weight or the distribution of cellulose and xylans. Over-expression of HvCslF6 caused an increase in β-glucan content in hull-less barley accompanied by decreased starch content in the grains, although there were also substantial changes in grain morphology [106]. In contrast, in the durum wheat Svevo-HA (a high-amylose TILLING line with knock-down alleles in two homoeologous starch branching enzyme IIa genes), β-glucan content was increased substantially (from 0.49 to 1.4%), with no significant change in total starch. However, the percentage of resistant starch was increased from 0.2 to 6.9% [107]. Therefore, the result of a targeted change in the carbon pool can be unpredictable and seems to relate to the specific point of change in the given polysaccharide synthesis pathway.
While barley and oat have the highest β-glucan content in cereal crops [43,98,108,109], wheat is far more widely consumed (Figure 1) [110] and is therefore a good target for improved β-glucan levels. Hexaploid wheat flour contains between 0.2% (endosperm flour) and 0.84% (wholemeal flour) β-glucan (Figure 4, Supplementary Table S1), which is largely insoluble [88,103,111]. Primitive wheats and wild relatives have much higher β-glucan content (up to 4.53% in Aegilops species) and represent a rich resource for the improvement of β-glucan content in domesticated wheat [77,78]. As stated above, the structure and solubility of β-glucan relates to its associated health benefit. Any change in content could affect G3:G4 ratio [76,106], which might affect solubility. The G3:G4 ratio in wheat differs between different tissues and milling fractions (Table 5). In general, β-glucan with very high or very low G3:G4 ratios is less soluble compared to β-glucan with a ratio of 1.5:1–2.5:1 [112,113]. This trait appears to be genetically controlled [60]; however, in vitro studies have shown that the availability of uridine diphosphate glucose (UDP-Glc) can also affect the G3:G4 ratio, where a saturating amount of UDP-Glc results in predominantly G3 units. At low UDP-Glc concentrations, the synthesis of G4 units is favored [114].

3.1. Genetic Control of β-Glucan Content and Structure

Genes in the Cellulose Synthase Like (Csl) family are responsible for the biosynthesis of non-cellulosic polysaccharides of cell walls [117]. Within this family, the CslF, H, and J clades have been implicated in the synthesis of β-glucan in various grass species (Figure 2B) [105,117,118,119]. Evidence has shown that the CslF gene family plays a dominant role in β-glucan synthesis in cereals, with CslF6 and CslF9 being major contributors [120,121]. The contribution of genes in the CslH and CslJ clades is less clear [118].
In hexaploid wheat, there are 10 CslF genes spread over the three different genomes (A, B, and D) [61]. CslF6 is the only member of the CslF subfamily that is highly expressed in grain [61]. The key role of CslF6 has been illustrated through studies which showed that decreased gene expression leads to decreased β-glucan content in wheat [121] and that mutation or knock-out in this gene leads to essentially β-glucan-less grain in barley [119,122]. While genetic differences have been identified within the CslF6 gene and promoter regions in barley, these polymorphisms could not be correlated with differences in β-glucan content [119,123,124]. The relationship between transcript abundance and β-glucan content has also been studied well in barley [124,125]. Studies confirm that CslF9 expression peaks at around 8–10 days post-anthesis [124,125], with CslF6 differentially expressed at the same time but also later in grain development at 38 dpa [124]. In contrast to the crucial role of CslF6 in β-glucan content in barley, CslF9 knock-out mutants did not show a difference in β-glucan content compared to controls, although there was a significant decrease in starch compared to wild type [119], which underscores the connection between β-glucan and starch content in the wheat grain. The involvement of CslH in the synthesis of β-glucan has been demonstrated through heterologous expression in Arabidopsis [118], while heterologous expression of CslJ in N. benthamiana also produced β-glucan, even in the absence of other members of the Csl gene family [126]. The CslH and CslJ gene families are much smaller than the CslF gene family, with a genome-wide analysis suggesting only eight proteins in the TaCslH subfamily and four proteins in the TaCslJ family (compared to twenty-nine proteins in the TaCslF subfamily) [61]. Investigation of publicly available RNA-Seq datasets revealed low expression of CslJ and CslH in wheat grain [61]. A quarter of the 108 Csl genes identified in wheat are predicted to have two or three splice variants, with alternative splicing leading to ten splice variants in TaCslF, three in CslH, and four in CslJ [61]. Transcript abundance and β-glucan synthase activity does not necessarily correlate with β-glucan content in barley varieties. In addition, β-glucan content can decrease from previous levels upon grain maturation, supporting evidence that other factors, such as the availability of UDP-Glc and β-glucan endohydrolase activity, could play a role [124,127].
Studies investigating changes in β-glucan structure have identified the role of CslF6 in regulating G3:G4 ratio, and hence physicochemical characteristics of the polysaccharide. Species-specific residues in the CslF6 protein have been linked to characteristic structural differences in the resultant β-glucan [60,128]. A single amino acid change in CslF6 (I571L) caused an increase in the proportion of β1–4 bonds in the β-glucan synthesized. The mutation relates to a trans-membrane helix, suggesting that the change affects the movement of the growing β-glucan chain within the membrane channel [60]. Amino acid substitutions in the catalytic region of CslF6 changed both the structure (CslF6 G638D in Sorghum bicolor) and amount (CslF6 Y680F in S. bicolor) of β-glucan when transiently expressed in N. benthamiana [128]. These amino acid changes are close to conserved regions of the enzyme and are postulated to affect conformation of conserved regions in the catalytic region, affecting the orientation of the nascent polysaccharide acceptor and the UDP-Glc donor.
Co-expression of genes other than those directly linked to β-glucan synthesis have been observed and provide evidence for the involvement of trans elements in regulating β-glucan content in cultivars that show variation in this trait [120,125]. These include HvGlb1 in barley, which encodes a β-glucanase isoenzyme I, which also correlates with malt β-glucan content and malt quality parameters [129]. While a lot of evidence points to the role of specific genes in determining β-glucan content, much remains to be explored. An increasingly clear understanding of the genetic control of β-glucan content and structure will support a targeted approach in manipulating this trait in wheat cultivars.
Genes involved in β-glucan biosynthesis are summarized in Table 2.

3.2. QTLs Linked to β-Glucan Content

Quantitative trait locus (QTL) analyses and genome-wide association studies have been performed on wheat to find markers that could be used for selection of varieties with improved β-glucan characteristics. In tetraploid wheat, QTLs associated with grain β-glucan content have been identified on chromosomes 1A, 2A, 7A, 2B, and 5B (Table 6). Genes associated with these markers, and that showed detectable expression in grain caryopsis, embryo, and endosperm, were identified as starch synthase II, β-amylase, isoamylase, fructan 1-exohydrolase, and (1,4)-β-xylanase [130]. This study, interestingly, did not identify any genes in the CslF or CslH family, which are known to be involved in β-glucan synthesis. However, the associated genes play roles in carbon partitioning (particularly starch synthesis), further supporting a link between the biosynthetic pathways of these two cell wall components [105,131]. Furthermore, it is assumed that β-glucan synthesis involves the interaction of CslF and CslH with other proteins, such as those identified in this study or elements such as transcription factors [132,133]. In a separate study by the same group, new QTLs for β-glucan were identified on chromosomes 2A and 2B, also in tetraploid wheat [62].
In hexaploid wheat, QTLs have been identified on chromosomes 3A, 1B, 5B, and 6D (Table 6) [134]. The QTL on chromosome 5B showed large phenotypic variation and was attributed to the parental plant T. aestivum cv Chinese Spring (the other parent plant was T. spelta var duhamelianum KT19-1). However, this marker could not be successfully mapped, while the QTL on chromosome 3A was related to a glucan endo-1,3-β-glucosidase. Recently, three QTLs related to β-glucan content were identified in Ae. Biuncialis in an effort to discover more accessions that are suitable for interspecific hybridization programs [78]. These were found on chromosomes 1M, 4M, and 5M. While Csl genes were not identified as candidates, markers were identified on the same homoeologous group chromosomes that have Csl genes assigned to them in wheat (groups 1 and 5) (Table 6). Most of the wheat QTLs associated with β-glucan content are not stable across environments [62,134]. Marker-assisted selection has so far not been used to improve β-glucan content in wheat due to a paucity of major, stable QTLs identified for the trait. This is in contrast with other cereals, e.g., barley [63,135,136,137,138] and oat [139,140].

3.3. Breeding Approaches to Improve β-Glucan

Traditional breeding methods require access to populations with very broad genetic variability [141]. In the absence of this variability, wide crosses (hybridization between different species) and other techniques can be considered. Alien introgression—the addition of a single chromosome pair from a donor to an otherwise incompatible acceptor plant—allows incorporation of a trait into hexaploid wheat (AABBDD genome). Occasionally, the additional chromosome pair from the donor will substitute for the native homoeolog and lead to a substitution line. Alternatively, amphidiploid hybrids can be backcrossed to the wheat parent to produce wheat lines that contain a single chromosome or chromosome pair from the donor parent [142,143,144,145,146]. The addition of a single chromosome from another species allows studying of the genetic effect of the individual chromosome in the wheat genomic background. However, the trait is often unstable and lost through segregation or affected by the inclusion of gametocidal genes in the transferred chromosome [147,148]. General breeding approaches to improve β-glucan are summarized in Figure 3.

3.3.1. Triticum and Aegilops Species

In a large-scale screen of β-glucan content in 500 wheat accessions (including hexaploid, tetraploid, wheat–barley addition lines, and triticale lines) it was concluded that there is insufficient genetic diversity in wheat germplasm to initiate a breeding program aimed at obtaining a target β-glucan content of 20 g kg−1 in wheat grain (the minimum level considered sufficient for a reduction in blood cholesterol) [149]. Even though small-seeded primitive grains showed the greatest variation in β-glucan content in this study, the higher β-glucan content trait was not transferred to synthetic hexaploid wheats with a primitive line as parent. In synthetic wheat lines, the trait from the tetraploid parent (low β-glucan, 0.49 %dw on average) was observed, although there were several diploid parental lines with high β-glucan content such as Aegilops squarrosa (1.8% dw, DD genome) and Aegilops speltoides (1.68% dw, BB genome) [149]. In contrast, a smaller panel-wide analysis of β-glucan content in wheat accessions identified two Aegilops species (Ae. umbellulata, UU genome and Ae. markgrafii, CC genome) as potential candidates for improvement of β-glucan in wheat [77]. This study analyzed a much wider range of Tritiaceae genomes including species containing the D, S, U, T, and M genomes. On average, Aegilops species showed a higher β-glucan content than Triticum species in this study. In particular, species with the U genome appeared to have a substantially higher β-glucan content (5.3 ± 1.4% w/w on average between six species over 2 years) compared to cultivated hexaploid bread wheat (0.83 ± 0.09% w/w on average between three varieties over 2 years). A significant negative correlation was also observed between kernel weight and β-glucan content when considering all the species assessed in this study, although this correlation changed to positive when considering only Aegilops species. This is most likely due to the size of Aegilops kernels compared to Triticum kernels, which have a much larger proportion of endosperm.
In agreement with Marcotuli et al. (2019) [77], Rakszegi and co-workers (2017) [76] illustrated the utility of Aegilops species in the improvement of β-glucan content in wheat (Table 4). They found that the addition of specific chromosomes (namely 5Ug, 7Ug of Ae. geniculata and 7Mb of Ae. biuncialis) to bread wheat led to an increase in β-glucan under optimal and drought conditions compared to control cv. Chinese Spring. In these lines, the thousand kernel weight (TKW) was unchanged or higher compared to the control. The results were confirmed under field conditions. There was also an impact on the ratio of G3:G4 in some of the addition lines, where the addition of 5Ug, 6Ug, or 3Ub decreased the ratio of G3:G4. Aegilops homologues of CslF and CslH were assigned to the same homeologous group chromosomes (group 1, 2, 5, and 7) as in bread wheat based on comparative analyses using cDNA sequences from other grass species and chromosome survey sequences of the Ae. umbellulata genome. While Ae. umbellulata has a homologue for CslF6 on chromosome 7UL, chromosome 5U carries a copy of CslF7 and 6U carries CslF11. These addition lines contained whole homeologous chromosome pairs from Aegilops and may therefore include genes that negatively affect wheat grain characteristics. In a separate study where β-glucan content was not analyzed, an addition line was generated between wheat (T. aestivum var. Chinese Spring, AABBDD) and Ae. umbellulata (UU) carrying a pair of 1U chromosomes. The addition line showed increased total protein in grain, improved dough quality, and overall improved agronomic traits, providing evidence for the potential of this species as a source of genetic material for the improvement of bread wheat [150].

3.3.2. Other Members of the Triticeae Species

Barley (HH genome), oats (AADDCC genome), and rye (RR genome) contain the highest amount of β-glucan compared to other cereals [43,98,108] and represent valuable genetic resources to increase β-glucan in wheat. Hexaploid tritordeum (AABBHH) is an amphidiploid hybrid created by crossing durum wheat (Triticum durum) with wild barley (Hordeum chilense) followed by colchicine treatment to double chromosome number to 42 and improve fertility [151]. Since the development of this crop species, its beneficial properties and potential as a bridge to introduce traits from H. chilense to wheat have been widely investigated [152,153,154,155]. While Tritordeum has five times less β-glucan compared to barley, it has twice the amount present in durum wheat and the same amount as soft wheat [153]. It is encouraging to see that this hybrid has double the β-glucan content compared to the lower β-glucan-containing parent.
Asakaze/Manas wheat–barley hybrid panels exist consisting of disomic and ditelosomic addition lines where the wheat line (Asakaze) contains either a whole barley chromosome, or the short or long arms of chromosomes 2, 3, 4, 6, or 7, respectively [156,157]. From this panel of addition lines, a line showing elevated β-glucan content (Asakaze/Manas 7H, 2n = 44) was used as a breeding partner with a winter wheat 7B monosomic line (cv Rannaya, as female parent) to create a compensating wheat/barley Robertsonian translocation line (7BS.7HL centric fusion, 2n = 42). The 7H disomic addition line was chosen since barley chromosome 7H carries the HvCslF6 gene, which is directly tied to the synthesis of β-glucan. While the 7H addition line showed low fertility, the Robertsonian translocation line showed similar fertility to the Rannaya winter wheat cultivar. However, the 7BS.7HL translocation line showed a decreased β-glucan content (0.9%) compared to the 7H addition line (1.1%), although both had a larger β-glucan content compared to the wheat cultivar Rannaya (0.7%). The β-glucan content in the barley parent (approximately 4.9%) was significantly different from all other lines and this trait was not conferred by a simple transfer of the HvCslF6 gene to a wheat line, supporting the hypothesis that β-glucan content is determined by several factors.
The wheat–barley addition lines above reflected the β-glucan content observed in the parental line with the lower content as opposed to the high-β-glucan donor. However, introgression of the barley 7H chromosome (particularly the long arm, which contains the HvCslF6 gene) into recombinant chromosomes of the A, B, and D genome of wheat individually led to a 0.8–1% increase in measured β-glucan in wheat compared to control [158]. A further experiment [159] showed that increasing the number of barley HVCsfl6 copies in wheat (through more targeted introgression of 7HL) could significantly increase the β-glucan content, supporting a direct link between β-glucan content and gene copy number. This result indicated the importance of the CslF6 gene on the D genome and confirmed results that show higher β-glucan content in hexaploid wheat (AABBDD) compared to tetraploid wheat (AABB), and higher β-glucan content in Ae. tauschii (DD) compared to T. urartu (AA) and T. monococcum (AA) [77]. In another study on the effect of the 7H chromosome in wheat–barley addition lines, variable results were observed, with individual addition lines showing increased and decreased β-glucan content [160]. In some instances, the environmental conditions would affect the amount of β-glucan measured over different years. However, one addition line (CS-7H) showed a consistent increase in β-glucan content compared to wheat control over all years. These results supported previous studies showing increased β-glucan in wheat containing the barley 7H chromosome [158,159,161]. In addition, a ditelosomic wheat addition line containing the 1HS ditelosome (containing the HvCslF9 gene) showed a significantly increased β-glucan content [161], confirming the importance of this gene. While β-glucan increased in some of these addition lines, the overall β-glucan content was still lower than that observed in barley, implying that expression level of β-glucan is a much more complicated pathway, either requiring other genes, or being regulated or out-competed for substrate.
Although rye has a high β-glucan content, few studies have investigated this species as a breeding partner for improving β-glucan content in wheat. Triticale (AABBRR) is a hybrid of wheat (Triticum turgidum) and rye (Secale cereale), produced to combine the high yield potential and grain quality of wheat with the abiotic and biotic stress resistance of rye [162]. While whole rye flour has a β-glucan content of 1.0–2.5% [163], the content was measured in triticale at 0.35–0.96% [149], suggesting that the trait was not transferred, although the higher values represent a significant increase over the β-glucan content in T. turgidum (0.41%) [130].

3.4. Heritability of the β-Glucan Trait

The broad sense heritability of the β-glucan content trait has been observed at 0.80–0.82 in tetraploid wheat, indicating that the phenotype potentially has a strong genotypic basis [62,130]. In Ae. biuncialis, the heritability was shown to be even higher, at 0.93 [78]. However, the heritability in a different GxE study showed heritability at 0.51 [43] and a significant interaction between genotype and year of growth was observed in a panel of Triticum and Aegilops genotypes [77]. Other factors, such as variety and growth conditions, can also affect β-glucan content. For example, in one study, barley β-glucan content varied from 3.91 to 5.93% (dry weight) between varieties [164]. In another comprehensive study assessing 17 varieties of barley over eight sites and 2 years, barley β-glucan content ranged from 1.81% to 7.18% (w/w) between varieties. Even in a single variety, β-glucan varied by as much as 2.61% (where the average β-glucan content for all varieties was 3–4%) [165]. The authors concluded that rainfall, location, and genotype influence β-glucan content, with significant interactions between genotype and year and genotype and location on this trait [165]. Environmental conditions also affect the ratio of β-glucan and AX, with heat and drought generally decreasing β-glucan with a concomitant increase in AX (although this is variety-dependent) [101].Genetic approaches to improve β-glucan content in wheat lines therefore have to take into consideration environmental interactions on the given genotype.

4. Conclusions

Historically, improving traits in wheat has been challenging due to the large genome size (16 Gb), its polyploid nature, and large portion of repetitive sequences. Since 2014, when the first genome assembly for Chinese Spring wheat was produced by the International Wheat Genome Sequencing Consortium (IWGSC) [166], several others have been released and all set down the basis for understanding the genetic diversity of this important crop. With the ever increasing number of resources and approaches used in wheat research, we have now generated a vast amount of data that need to be utilized in wheat breeding programs to not only increase the yield and resistance to ever changing environmental stresses, but also to improve the nutritional value that can be tailored to the masses to lower the burden on our healthcare systems and simultaneously increase the quality of life.
Arabinoxylan has been in the spotlight of several academic research groups. Identification of GTs, QTL mapping, and establishing the markers to select varieties with improved AX properties has been the priority reaching far beyond the last decade. Also, for developing and characterizing crosses with increased amounts of AX in wheat grains, the work on exploiting the genetic variation controlling the content of AX in wheat grain is hardly finished.
Although several attempts have been made to increase the content of β-glucan in wheat, the complexity of the trait and the lack of a major, stable QTL has impeded progress. In several breeding studies, the β-glucan content of offspring seems to reflect that of the parent with the lower β-glucan value, showing that the high-content trait is not always expressed in the offspring. While the addition of barley chromosome 7 or chromosomes from the U genome of Aegilops species has shown a beneficial effect, environmental interactions mean that the trait is not necessarily stably expressed and can still vary substantially year on year in these lines.
Nevertheless, strategies and challenges to manipulate the amount of dietary fiber and how to translate these to improve wheat for human consumption and health without negative effects on cost, consumer palatability, and processing properties need to be discussed and implemented simultaneously.
Whereas the amount of AX in white flour seems to follow the increasing trend in 39 UK-adapted winter bread wheat cultivars dating between 1790 and 2012, the amount of β-glucan varies more and shows a weaker trend, except that it is low in the old cultivars. Nevertheless, the absolute quantity of both components was higher in modern cultivars (post 1982) but still heavily affected by the environment [82].
Finally, beyond improving dietary fiber content in wheat, it is also important to determine if increases in dietary fiber content translate to measurable health benefits in vivo. The development of standardized in vitro protocols [167,168] and in silico models like the Dynamic Gastric Model [169] have made it possible to predict physiological relevance in humans and pave the way for in vivo studies. As one example for all, Gouseti et al. have demonstrated that exploiting genetic variation of the dietary fiber amount in wheat cultivars is a possibility, resulting in the production of high-fiber white breads that are healthy, with reduced starch digestion rate yet acceptable to consumers [170].

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/plants12183216/s1, Table S1: β-glucan content of wheat species from selected publications from 1983 to 2020. Quantification was performed using the enzymatic method essentially as described by McCleary and Glennie-Holmes (1985) unless otherwise indicated.

Author Contributions

Writing—Original Draft Preparation, A.P., O.K.; Writing—Review & Editing, A.P., O.K. All authors have read and agreed to the published version of the manuscript.

Funding

Rothamsted Research receives strategic funding from the Biotechnology and Biological Sciences Research Council (BBSRC) under the Developing Sustainable Wheat (BB/X011003/1) strategic programme.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Jones, J.M. CODEX-aligned dietary fiber definitions help to bridge the ‘fiber gap’. Nutr. J. 2014, 13, 34. [Google Scholar] [CrossRef] [PubMed]
  2. Bacete, L.; Mélida, H.; Miedes, E.; Molina, A. Plant cell wall-mediated immunity: Cell wall changes trigger disease resistance responses. Plant J. 2018, 93, 614–636. [Google Scholar] [CrossRef] [PubMed]
  3. De Lorenzo, G.; Ferrari, S.; Giovannoni, M.; Mattei, B.; Cervone, F. Cell wall traits that influence plant development, immunity and bioconversion. Plant J. 2018, 97, 134–147. [Google Scholar] [CrossRef]
  4. Rui, Y.; Dinneny, J.R. A wall with integrity: Surveillance and maintenance of the plant cell wall under stress. New Phytol. 2019, 225, 1428–1439. [Google Scholar] [CrossRef]
  5. Adamberg, K.; Jaagura, M.; Aaspõllu, A.; Nurk, E.; Adamberg, S. The composition of faecal microbiota is related to the amount and variety of dietary fibres. Int. J. Food Sci. Nutr. 2020, 71, 845–855. [Google Scholar] [CrossRef] [PubMed]
  6. Li, L.; Pan, M.; Pan, S.; Li, W.; Zhong, Y.; Hu, J.; Nie, S. Effects of insoluble and soluble fibers isolated from barley on blood glucose, serum lipids, liver function and caecal short-chain fatty acids in type 2 diabetic and normal rats. Food Chem. Toxicol. 2020, 135, 110937. [Google Scholar] [CrossRef] [PubMed]
  7. Partula, V.; Deschasaux, M.; Druesne-Pecollo, N.; Latino-Martel, P.; Desmetz, E.; Chazelas, E.; Kesse-Guyot, E.; Julia, C.; Fezeu, L.K.; Galan, P.; et al. Associations between consumption of dietary fibers and the risk of cardiovascular diseases, cancers, type 2 diabetes, and mortality in the prospective NutriNet-Santé cohort. Am. J. Clin. Nutr. 2020, 112, 195–207. [Google Scholar] [CrossRef] [PubMed]
  8. Gill, S.K.; Rossi, M.; Bajka, B.; Whelan, K. Dietary fibre in gastrointestinal health and disease. Nat. Rev. Gastroenterol. Hepatol. 2021, 18, 101–116. [Google Scholar] [CrossRef]
  9. Neyrinck, A.M.; Rodriguez, J.; Zhang, Z.; Seethaler, B.; Sánchez, C.R.; Roumain, M.; Hiel, S.; Bindels, L.B.; Cani, P.D.; Paquot, N.; et al. Prebiotic dietary fibre intervention improves fecal markers related to inflammation in obese patients: Results from the Food4Gut randomized placebo-controlled trial. Eur. J. Nutr. 2021, 60, 3159–3170. [Google Scholar] [CrossRef]
  10. Montiel-Rojas, D.; Nilsson, A.; Santoro, A.; Franceschi, C.; Bazzocchi, A.; Battista, G.; de Groot, L.C.P.G.M.; Feskens, E.J.M.; Berendsen, A.; Pietruszka, B.; et al. Dietary Fibre May Mitigate Sarcopenia Risk: Findings from the NU-AGE Cohort of Older European Adults. Nutrients 2020, 12, 1075. [Google Scholar] [CrossRef]
  11. Williams, B.A.; Mikkelsen, D.; Flanagan, B.M.; Gidley, M.J. “Dietary fibre”: Moving beyond the “soluble/insoluble” classification for monogastric nutrition, with an emphasis on humans and pigs. J. Anim. Sci. Biotechnol. 2019, 10, 45. [Google Scholar] [CrossRef] [PubMed]
  12. Grundy, M.M.-L.; Edwards, C.H.; Mackie, A.R.; Gidley, M.J.; Butterworth, P.J.; Ellis, P.R. Re-evaluation of the mechanisms of dietary fibre and implications for macronutrient bioaccessibility, digestion and postprandial metabolism. Br. J. Nutr. 2016, 116, 816–833. [Google Scholar] [CrossRef] [PubMed]
  13. Capuano, E. The behavior of dietary fiber in the gastrointestinal tract determines its physiological effect. Crit. Rev. Food Sci. Nutr. 2017, 57, 3543–3564. [Google Scholar] [CrossRef] [PubMed]
  14. Tosh, S.M.; Bordenave, N. Emerging science on benefits of whole grain oat and barley and their soluble dietary fibers for heart health, glycemic response, and gut microbiota. Nutr. Rev. 2020, 78, 13–20. [Google Scholar] [CrossRef]
  15. Cheng, W.-Y.; Lam, K.-L.; Kong, A.P.-S.; Cheung, P.C.-K. Prebiotic supplementation (beta-glucan and inulin) attenuates circadian misalignment induced by shifted light-dark cycle in mice by modulating circadian gene expression. Food Res. Int. 2020, 137, 109437. [Google Scholar] [CrossRef]
  16. Harris, S.; Powers, S.; Monteagudo-Mera, A.; Kosik, O.; Lovegrove, A.; Shewry, P.; Charalampopoulos, D. Determination of the prebiotic activity of wheat arabinogalactan peptide (AGP) using batch culture fermentation. Eur. J. Nutr. 2019, 59, 297–307. [Google Scholar] [CrossRef]
  17. Wang, S.; Zhang, X.; Li, H.; Ren, Y.; Geng, Y.; Lu, Z.; Shi, J.; Xu, Z. Similarities and differences of oligo/poly-saccharides’ impact on human fecal microbiota identified by in vitro fermentation. Appl. Microbiol. Biotechnol. 2021, 105, 7475–7486. [Google Scholar] [CrossRef]
  18. Harris, S.; Monteagudo-Mera, A.; Kosik, O.; Charalampopoulos, D.; Shewry, P.; Lovegrove, A. Comparative prebiotic activity of mixtures of cereal grain polysaccharides. AMB Express 2019, 9, 203. [Google Scholar] [CrossRef]
  19. Stephen, A.M.; Champ, M.M.-J.; Cloran, S.J.; Fleith, M.; van Lieshout, L.; Mejborn, H.; Burley, V.J. Dietary fibre in Europe: Current state of knowledge on definitions, sources, recommendations, intakes and relationships to health. Nutr. Res. Rev. 2017, 30, 149–190. [Google Scholar] [CrossRef]
  20. Reynolds, A.; Mann, J.; Cummings, J.; Winter, N.; Mete, E.; Te Morenga, L. Carbohydrate quality and human health: A series of systematic reviews and meta-analyses. Lancet 2019, 393, 434–445. [Google Scholar] [CrossRef]
  21. Piro, M.C.; Muylle, H.; Haesaert, G. Exploiting Rye in Wheat Quality Breeding: The Case of Arabinoxylan Content. Plants 2023, 12, 737. [Google Scholar] [CrossRef] [PubMed]
  22. Barron, C.; Surget, A.; Rouau, X. Relative amounts of tissues in mature wheat (Triticum aestivum L.) grain and their carbohydrate and phenolic acid composition. J. Cereal Sci. 2007, 45, 88–96. [Google Scholar] [CrossRef]
  23. Shewry, P.R.; Wan, Y.; Hawkesford, M.J.; Tosi, P. Spatial distribution of functional components in the starchy endosperm of wheat grains. J. Cereal Sci. 2019, 91, 102869. [Google Scholar] [CrossRef]
  24. Bechtel, D.B.; Abecassis, J.; Shewry, P.R.; Evers, A.D. CHAPTER 3: Development, Structure, and Mechanical Properties of the Wheat Grain. In WHEAT: Chemistry and Technology; AACC International: St. Paul, MN, USA, 2009; pp. 51–95. [Google Scholar] [CrossRef]
  25. Meziani, S.; Nadaud, I.; Tasleem-Tahir, A.; Nurit, E.; Benguella, R.; Branlard, G. Wheat aleurone layer: A site enriched with nutrients and bioactive molecules with potential nutritional opportunities for breeding. J. Cereal Sci. 2021, 100, 103225. [Google Scholar] [CrossRef]
  26. Buri, R.C.; Von Reding, W.; Gavin, M.H. Description and Characterization of Wheat Aleurone. Cereal Foods World 2004, 49, 274. [Google Scholar]
  27. Brouns, F.; Hemery, Y.; Price, R.; Anson, N.M. Wheat Aleurone: Separation, Composition, Health Aspects, and Potential Food Use. Crit. Rev. Food Sci. Nutr. 2012, 52, 553–568. [Google Scholar] [CrossRef]
  28. Toole, G.A.; Le Gall, G.; Colquhoun, I.J.; Nemeth, C.; Saulnier, L.; Lovegrove, A.; Pellny, T.; Wilkinson, M.D.; Freeman, J.; Mitchell, R.A.C.; et al. Temporal and spatial changes in cell wall composition in developing grains of wheat cv. Hereward. Planta 2010, 232, 677–689. [Google Scholar] [CrossRef]
  29. Wilkinson, M.D.; Tosi, P.; Lovegrove, A.; Corol, D.I.; Ward, J.L.; Palmer, R.; Powers, S.; Passmore, D.; Webster, G.; Marcus, S.E.; et al. The Gsp-1 genes encode the wheat arabinogalactan peptide. J. Cereal Sci. 2017, 74, 155–164. [Google Scholar] [CrossRef]
  30. Igrejas, G.; Ikeda, T.M.; Guzmán, C. (Eds.) Wheat Quality for Improving Processing and Human Health; Springer International Publishing: Cham, Switzerland, 2020; p. 542. ISBN 978-3-030-34162-6. [Google Scholar] [CrossRef]
  31. Hazard, B.; Trafford, K.; Lovegrove, A.; Griffiths, S.; Uauy, C.; Shewry, P. Strategies to improve wheat for human health. Nat. Food 2020, 1, 475–480. [Google Scholar] [CrossRef]
  32. Bonnin, E.; Le Goff, A.; Saulnier, L.; Chaurand, M.; Thibault, J.-F. Preliminary Characterisation of Endogenous Wheat Arabinoxylan-degrading Enzymic Extracts. J. Cereal Sci. 1998, 28, 53–62. [Google Scholar] [CrossRef]
  33. Mitchell, R.A.; Dupree, P.; Shewry, P.R. A Novel Bioinformatics Approach Identifies Candidate Genes for the Synthesis and Feruloylation of Arabinoxylan. Plant Physiol. 2007, 144, 43–53. [Google Scholar] [CrossRef] [PubMed]
  34. Botticella, E.; Savatin, D.V.; Sestili, F. The Triple Jags of Dietary Fibers in Cereals: How Biotechnology Is Longing for High FiberGrains. Front. Plant Sci. 2021, 12, 745579. [Google Scholar] [CrossRef] [PubMed]
  35. Kosik, O.; Powers, S.J.; Chatzifragkou, A.; Prabhakumari, P.C.; Charalampopoulos, D.; Hess, L.; Brosnan, J.; Shewry, P.R.; Lovegrove, A. Changes in the arabinoxylan fraction of wheat grain during alcohol production. Food Chem. 2017, 221, 1754–1762. [Google Scholar] [CrossRef]
  36. Szentmiklóssy, M.; Török, K.; Pusztai, É.; Kemény, S.; Tremmel-Bede, K.; Rakszegi, M.; Tömösközi, S. Variability and cluster analysis of arabinoxylan content and its molecular profile in crossed wheat lines. J. Cereal Sci. 2020, 95, 103074. [Google Scholar] [CrossRef]
  37. Saulnier, L.; Peneau, N.; Thibault, J.-F. Variability in grain extract viscosity and water-soluble arabinoxylan content in wheat. J. Cereal Sci. 1995, 22, 259–264. [Google Scholar] [CrossRef]
  38. Gebruers, K.; Dornez, E.; Bedõ, Z.; Rakszegi, M.; Frás, A.; Boros, D.; Courtin, C.M.; Delcour, J.A. Environment and Genotype Effects on the Content of Dietary Fiber and Its Components in Wheat in the HEALTHGRAIN Diversity Screen. J. Agric. Food Chem. 2010, 58, 9353–9361. [Google Scholar] [CrossRef] [PubMed]
  39. Rakha, A.; Saulnier, L.; Åman, P.; Andersson, R. Enzymatic fingerprinting of arabinoxylan and β-glucan in triticale, barley and tritordeum grains. Carbohydr. Polym. 2012, 90, 1226–1234. [Google Scholar] [CrossRef]
  40. Gebruers, K.; Dornez, E.; Boros, D.; Fraś, A.; Dynkowska, W.; Bedő, Z.; Rakszegi, M.; Delcour, J.A.; Courtin, C.M. Variation in the Content of Dietary Fiber and Components Thereof in Wheats in the HEALTHGRAIN Diversity Screen. J. Agric. Food Chem. 2008, 56, 9740–9749. [Google Scholar] [CrossRef]
  41. De Santis, M.A.; Kosik, O.; Passmore, D.; Flagella, Z.; Shewry, P.R.; Lovegrove, A. Data set of enzyme fingerprinting of dietary fibre components (arabinoxylan and β-glucan) in old and modern Italian durum wheat genotypes. Data Brief 2018, 16, 1062–1068. [Google Scholar] [CrossRef]
  42. Saini, H.S.; Henry, R.J. Fractionation and Evaluation of Triticale Pentosans: Comparison with Wheat and Rye. Cereal Chem. 1989, 66, 11–14. [Google Scholar]
  43. Shewry, P.R.; Piironen, V.; Lampi, A.-M.; Edelmann, M.; Kariluoto, S.; Nurmi, T.; Fernandez-Orozco, R.; Andersson, A.A.M.; Åman, P.; Fraś, A.; et al. Effects of Genotype and Environment on the Content and Composition of Phytochemicals and Dietary Fiber Components in Rye in the HEALTHGRAIN Diversity Screen. J. Agric. Food Chem. 2010, 58, 9372–9383. [Google Scholar] [CrossRef] [PubMed]
  44. Tian, L.; Gruppen, H.; Schols, H.A. Characterization of (Glucurono)arabinoxylans from Oats Using Enzymatic Fingerprinting. J. Agric. Food Chem. 2015, 63, 10822–10830. [Google Scholar] [CrossRef] [PubMed]
  45. Zambrano, J.A.; Thyagarajan, A.; Sardari, R.R.; Olsson, O. Characterization of high Arabinoxylan oat lines identified from a mutagenized oat population. Food Chem. 2023, 404, 134687. [Google Scholar] [CrossRef]
  46. Ordaz-Ortiz, J.; Saulnier, L. Structural variability of arabinoxylans from wheat flour. Comparison of water-extractable and xylanase-extractable arabinoxylans. J. Cereal Sci. 2005, 42, 119–125. [Google Scholar] [CrossRef]
  47. Saulnier, L.; Sado, P.-E.; Branlard, G.; Charmet, G.; Guillon, F. Wheat arabinoxylans: Exploiting variation in amount and composition to develop enhanced varieties. J. Cereal Sci. 2007, 46, 261–281. [Google Scholar] [CrossRef]
  48. Nyström, L.; Lampi, A.-M.; Andersson, A.A.M.; Kamal-Eldin, A.; Gebruers, K.; Courtin, C.M.; Delcour, J.A.; Li, L.; Ward, J.L.; Fraś, A.; et al. Phytochemicals and Dietary Fiber Components in Rye Varieties in the HEALTHGRAIN Diversity Screen. J. Agric. Food Chem. 2008, 56, 9758–9766. [Google Scholar] [CrossRef]
  49. Andersson, A.A.M.; Lampi, A.-M.; Nyström, L.; Piironen, V.; Li, L.; Ward, J.L.; Gebruers, K.; Courtin, C.M.; Delcour, J.A.; Boros, D.; et al. Phytochemical and Dietary Fiber Components in Barley Varieties in the HEALTHGRAIN Diversity Screen. J. Agric. Food Chem. 2008, 56, 9767–9776. [Google Scholar] [CrossRef]
  50. Pellny, T.K.; Lovegrove, A.; Freeman, J.; Tosi, P.; Love, C.G.; Knox, J.P.; Shewry, P.R.; Mitchell, R.A. Cell Walls of Developing Wheat Starchy Endosperm: Comparison of Composition and RNA-Seq Transcriptome. Plant Physiol. 2012, 158, 612–627. [Google Scholar] [CrossRef]
  51. Zeng, W.; Lampugnani, E.R.; Picard, K.L.; Song, L.; Wu, A.-M.; Farion, I.M.; Zhao, J.; Ford, K.; Doblin, M.S.; Bacic, A. Asparagus IRX9, IRX10, and IRX14A Are Components of an Active Xylan Backbone Synthase Complex that Forms in the Golgi Apparatus. Plant Physiol. 2016, 171, 93–109. [Google Scholar] [CrossRef]
  52. Lovegrove, A.; Wilkinson, M.D.; Freeman, J.; Pellny, T.K.; Tosi, P.; Saulnier, L.; Shewry, P.R.; Mitchell, R.A. RNA Interference Suppression of Genes in Glycosyl Transferase Families 43 and 47 in Wheat Starchy Endosperm Causes Large Decreases in Arabinoxylan Content. Plant Physiol. 2013, 163, 95–107. [Google Scholar] [CrossRef]
  53. Wilkinson, M.D.; Kosik, O.; Halsey, K.; Walpole, H.; Evans, J.; Wood, A.J.; Ward, J.L.; Mitchell, R.A.C.; Lovegrove, A.; Shewry, P.R. RNAi suppression of xylan synthase genes in wheat starchy endosperm. PLoS ONE 2021, 16, e0256350. [Google Scholar] [CrossRef] [PubMed]
  54. Pellny, T.K.; Patil, A.; Wood, A.J.; Freeman, J.; Halsey, K.; Plummer, A.; Kosik, O.; Temple, H.; Collins, J.D.; Dupree, P.; et al. Loss of TaIRX9b gene function in wheat decreases chain length and amount of arabinoxylan in grain but increases cross-linking. Plant Biotechnol. J. 2020, 18, 2316–2327. [Google Scholar] [CrossRef] [PubMed]
  55. Jiang, N.; Wiemels, R.E.; Soya, A.; Whitley, R.; Held, M.; Faik, A. Composition, Assembly, and Trafficking of a Wheat Xylan Synthase Complex. Plant Physiol. 2016, 170, 1999–2023. [Google Scholar] [CrossRef] [PubMed]
  56. Anders, N.; Wilson, L.F.L.; Sorieul, M.; Nikolovski, N.; Dupree, P. β-1,4-Xylan backbone synthesis in higher plants: How complex can it be? Front. Plant Sci. 2023, 13, 1076298. [Google Scholar] [CrossRef]
  57. Anders, N.; Wilkinson, M.D.; Lovegrove, A.; Freeman, J.; Tryfona, T.; Pellny, T.K.; Weimar, T.; Mortimer, J.C.; Stott, K.; Baker, J.M.; et al. Glycosyl transferases in family 61 mediate arabinofuranosyl transfer onto xylan in grasses. Proc. Natl. Acad. Sci. USA 2012, 109, 989–993. [Google Scholar] [CrossRef]
  58. Freeman, J.; Ward, J.L.; Kosik, O.; Lovegrove, A.; Wilkinson, M.D.; Shewry, P.R.; Mitchell, R.A. Feruloylation and structure of arabinoxylan in wheat endosperm cell walls from RNAi lines with suppression of genes responsible for backbone synthesis and decoration. Plant Biotechnol. J. 2017, 15, 1429–1438. [Google Scholar] [CrossRef]
  59. Kozlova, L.V.; Nazipova, A.R.; Gorshkov, O.V.; Gilmullina, L.F.; Sautkina, O.V.; Petrova, N.V.; Trofimova, O.I.; Ponomarev, S.N.; Ponomareva, M.L.; Gorshkova, T.A. Identification of genes involved in the formation of soluble dietary fiber in winter rye grain and their expression in cultivars with different viscosities of wholemeal water extract. Crop J. 2021, 10, 532–549. [Google Scholar] [CrossRef]
  60. Jobling, S.A. Membrane pore architecture of the CslF6 protein controls (1-3,1-4)-β-glucan structure. Sci. Adv. 2015, 1, e1500069. [Google Scholar] [CrossRef]
  61. Kaur, S.; Dhugga, K.S.; Beech, R.; Singh, J. Genome-wide analysis of the cellulose synthase-like (Csl) gene family in bread wheat (Triticum aestivum L.). BMC Plant Biol. 2017, 17, 193. [Google Scholar] [CrossRef]
  62. Marcotuli, I.; Gadaleta, A.; Mangini, G.; Signorile, A.M.; Zacheo, S.A.; Blanco, A.; Simeone, R.; Colasuonno, P. Development of a High-Density SNP-Based Linkage Map and Detection of QTL for β-Glucans, Protein Content, Grain Yield per Spike and Heading Time in Durum Wheat. Int. J. Mol. Sci. 2017, 18, 1329. [Google Scholar] [CrossRef]
  63. Geng, L.; Li, M.; Xie, S.; Wu, D.; Ye, L.; Zhang, G. Identification of genetic loci and candidate genes related to β-glucan content in barley grain by genome-wide association study in International Barley Core Selected Collection. Mol. Breed. 2021, 41, 6. [Google Scholar] [CrossRef] [PubMed]
  64. Ward, J.L.; Poutanen, K.; Gebruers, K.; Piironen, V.; Lampi, A.-M.; Nyström, L.; Andersson, A.A.M.; Boros, D.; Rakszegi, M.; Bedő, Z.; et al. The HEALTHGRAIN Cereal Diversity Screen: Concept, Results, and Prospects. J. Agric. Food Chem. 2008, 56, 9699–9709. [Google Scholar] [CrossRef] [PubMed]
  65. Quraishi, U.M.; Murat, F.; Abrouk, M.; Pont, C.; Confolent, C.; Oury, F.X.; Ward, J.; Boros, D.; Gebruers, K.; Delcour, J.; et al. Combined meta-genomics analyses unravel candidate genes for the grain dietary fiber content in bread wheat (Triticum aestivum L.). Funct. Integr. Genom. 2011, 11, 71–83. [Google Scholar] [CrossRef]
  66. Nguyen, V.-L.; Huynh, B.-L.; Wallwork, H.; Stangoulis, J. Identification of Quantitative Trait Loci for Grain Arabinoxylan Concentration in Bread Wheat. Crop Sci. 2011, 51, 1143–1150. [Google Scholar] [CrossRef]
  67. Marcotuli, I.; Houston, K.; Waugh, R.; Fincher, G.B.; Burton, R.A.; Blanco, A.; Gadaleta, A. Genome Wide Association Mapping for Arabinoxylan Content in a Collection of Tetraploid Wheats. PLoS ONE 2015, 10, e0132787. [Google Scholar] [CrossRef]
  68. Yang, L.; Zhao, D.; Yan, J.; Zhang, Y.; Xia, X.; Tian, Y.; He, Z.; Zhang, Y. QTL mapping of grain arabinoxylan contents in common wheat using a recombinant inbred line population. Euphytica 2015, 208, 205–214. [Google Scholar] [CrossRef]
  69. Lovegrove, A.; Wingen, L.U.; Plummer, A.; Wood, A.; Passmore, D.; Kosik, O.; Freeman, J.; Mitchell, R.A.C.; Hassall, K.; Ulker, M.; et al. Identification of a major QTL and associated molecular marker for high arabinoxylan fibre in white wheat flour. PLoS ONE 2020, 15, e0227826. [Google Scholar] [CrossRef] [PubMed]
  70. Ibba, M.I.; Juliana, P.; Hernández-Espinosa, N.; Posadas-Romano, G.; Dreisigacker, S.; Sehgal, D.; Crespo-Herrera, L.; Singh, R.; Guzmán, C. Genome-wide association analysis for arabinoxylan content in common wheat (T. aestivum L.) flour. J. Cereal Sci. 2021, 98, 103166. [Google Scholar] [CrossRef]
  71. Tremmel-Bede, K.; Láng, L.; Török, K.; Tömösközi, S.; Vida, G.; Shewry, P.R.; Bedő, Z.; Rakszegi, M. Development and characterization of wheat lines with increased levels of arabinoxylan. Euphytica 2017, 213, 291. [Google Scholar] [CrossRef]
  72. Dubcovsky, J.; Gill, K.S.; Dvořák, J.; Lagudah, E.S.; McCouch, S.R.; Appels, R.; Sorrells, M.E.; Gustafson, J.P.; Somers, D.; Chao, S.; et al. Molecular-genetic maps for group 1 chromosomes of Triticeae species and their relation to chromosomes in rice and oat. Genome 1995, 38, 45–59. [Google Scholar] [CrossRef]
  73. Cadalen, T.; Boeuf, C.; Bernard, S.; Bernard, M. An intervarietal molecular marker map in Triticum aestivum L. Em. Thell. and comparison with a map from a wide cross. Theor. Appl. Genet. 1997, 94, 367–377. [Google Scholar] [CrossRef]
  74. Martinant, J.P.; Cadalen, T.; Billot, A.; Chartier, S.; Leroy, P.; Bernard, M.; Saulnier, L.; Branlard, G. Genetic analysis of water-extractable arabinoxylans in bread wheat endosperm. Theor. Appl. Genet. 1998, 97, 1069–1075. [Google Scholar] [CrossRef]
  75. Charmet, G.; Masood-Quraishi, U.; Ravel, C.; Romeuf, I.; Balfourier, F.; Perretant, M.R.; Joseph, J.L.; Rakszegi, M.; Guillon, F.; Sado, P.E.; et al. Genetics of dietary fibre in bread wheat. Euphytica 2009, 170, 155–168. [Google Scholar] [CrossRef]
  76. Rakszegi, M.; Molnár, I.; Lovegrove, A.; Darkó, É.; Farkas, A.; Láng, L.; Bedő, Z.; Doležel, J.; Molnár-Láng, M.; Shewry, P. Addition of Aegilops U and M Chromosomes Affects Protein and Dietary Fiber Content of Wholemeal Wheat Flour. Front. Plant Sci. 2017, 8, 1529. [Google Scholar] [CrossRef] [PubMed]
  77. Marcotuli, I.; Colasuonno, P.; Cutillo, S.; Simeone, R.; Blanco, A.; Gadaleta, A. β-glucan content in a panel of Triticum and Aegilops genotypes. Genet. Resour. Crop Evol. 2019, 66, 897–907. [Google Scholar] [CrossRef]
  78. Ivanizs, L.; Marcotuli, I.; Rakszegi, M.; Kalapos, B.; Szőke-Pázsi, K.; Farkas, A.; Türkösi, E.; Gaál, E.; Kruppa, K.; Kovács, P.; et al. Identification of New QTLs for Dietary Fiber Content in Aegilops biuncialis. Int. J. Mol. Sci. 2022, 23, 3821. [Google Scholar] [CrossRef]
  79. Shewry, P.R.; Hey, S.J. The contribution of wheat to human diet and health. Food Energy Secur. 2015, 4, 178–202. [Google Scholar] [CrossRef]
  80. Shewry, P.R.; Piironen, V.; Lampi, A.-M.; Edelmann, M.; Kariluoto, S.; Nurmi, T.; Fernandez-Orozco, R.; Ravel, C.; Charmet, G.; Andersson, A.A.M.; et al. The HEALTHGRAIN Wheat Diversity Screen: Effects of Genotype and Environment on Phytochemicals and Dietary Fiber Components. J. Agric. Food Chem. 2010, 58, 9291–9298. [Google Scholar] [CrossRef]
  81. Mackay, I.; Horwell, A.; Garner, J.; White, J.; McKee, J.; Philpott, H. Reanalyses of the historical series of UK variety trials to quantify the contributions of genetic and environmental factors to trends and variability in yield over time. Theor. Appl. Genet. 2010, 122, 225–238. [Google Scholar] [CrossRef]
  82. Lovegrove, A.; Pellny, T.K.; Hassall, K.L.; Plummer, A.; Wood, A.; Bellisai, A.; Przewieslik-Allen, A.; Burridge, A.J.; Ward, J.L.; Shewry, P.R. Historical changes in the contents and compositions of fibre components and polar metabolites in white wheat flour. Sci. Rep. 2020, 10, 5920. [Google Scholar] [CrossRef]
  83. De Santis, M.A.; Kosik, O.; Passmore, D.; Flagella, Z.; Shewry, P.R.; Lovegrove, A. Comparison of the dietary fibre composition of old and modern durum wheat (Triticum turgidum spp. durum) genotypes. Food Chem. 2017, 244, 304–310. [Google Scholar] [CrossRef] [PubMed]
  84. Shewry, P.R.; Hassall, K.L.; Grausgruber, H.; Andersson, A.A.M.; Lampi, A.; Piironen, V.; Rakszegi, M.; Ward, J.L.; Lovegrove, A. Do modern types of wheat have lower quality for human health? Nutr. Bull. 2020, 45, 362–373. [Google Scholar] [CrossRef] [PubMed]
  85. Shewry, P.R.; Hazard, B.; Lovegrove, A.; Uauy, C. Improving starch and fibre in wheat grain for human health. Biochemist 2020, 42, 40–45. [Google Scholar] [CrossRef]
  86. Tremmel-Bede, K.; Szentmiklóssy, M.; Tömösközi, S.; Török, K.; Lovegrove, A.; Shewry, P.R.; Láng, L.; Bedő, Z.; Vida, G.; Rakszegi, M. Stability analysis of wheat lines with increased level of arabinoxylan. PLoS ONE 2020, 15, e0232892. [Google Scholar] [CrossRef] [PubMed]
  87. Synytsya, A.; Novak, M. Structural analysis of glucans. Ann. Transl. Med. 2014, 2, 17. [Google Scholar] [CrossRef]
  88. Beresford, G.; Stone, B.A. (1→3), (1→4)-β-D-glucan content of Triticum grains. J. Cereal Sci. 1983, 1, 111–114. [Google Scholar] [CrossRef]
  89. Lazaridou, A.; Biliaderis, C.G.; Izydorczyk, M.S. Cereal β-Glucans: Structures, Physical Properties, and Physiological Functions. In Functional Food Carbohydrates, 1st ed.; CRC Press: Boca Raton, FL, USA, 2006; pp. 2–72. ISBN 9781420003512. [Google Scholar]
  90. Lawton, C.L.; Walton, J.; Hoyland, A.; Howarth, E.; Allan, P.; Chesters, D.; Dye, L. Short Term (14 Days) Consumption of Insoluble Wheat Bran Fibre-Containing Breakfast Cereals Improves Subjective Digestive Feelings, General Wellbeing and Bowel Function in a Dose Dependent Manner. Nutrients 2013, 5, 1436–1455. [Google Scholar] [CrossRef]
  91. MacNicol, J.L.; Murrant, C.; Pearson, W. The influence of a simulated digest of an equine dietary feed additive G’s formula on contractile activity of gastric smooth muscle in vitro. J. Anim. Physiol. Anim. Nutr. 2020, 104, 1919–1926. [Google Scholar] [CrossRef]
  92. Brandl, B.; Lee, Y.-M.; Dunkel, A.; Hofmann, T.; Hauner, H.; Skurk, T. Effects of Extrinsic Wheat Fiber Supplementation on Fecal Weight; A Randomized Controlled Trial. Nutrients 2020, 12, 298. [Google Scholar] [CrossRef]
  93. Ban, Y.; Qiu, J.; Ren, C.; Li, Z. Effects of different cooking methods of oatmeal on preventing the diet-induced increase of cholesterol level in hypercholesterolemic rats. Lipids Health Dis. 2015, 14, 135. [Google Scholar] [CrossRef]
  94. Jovanovski, E.; Khayyat, R.; Zurbau, A.; Komishon, A.; Mazhar, N.; Sievenpiper, J.L.; Mejia, S.B.; Ho, H.V.T.; Li, D.; Jenkins, A.L.; et al. Should Viscous Fiber Supplements Be Considered in Diabetes Control? Results From a Systematic Review and Meta-analysis of Randomized Controlled Trials. Diabetes Care 2019, 42, 755–766. [Google Scholar] [CrossRef]
  95. AbuMweis, S.; Thandapilly, S.J.; Storsley, J.; Ames, N. Effect of barley β-glucan on postprandial glycaemic response in the healthy human population: A meta-analysis of randomized controlled trials. J. Funct. Foods 2016, 27, 329–342. [Google Scholar] [CrossRef]
  96. Yu, S.; Wang, J.; Li, Y.; Wang, X.; Ren, F.; Wang, X. Structural Studies of Water-Insoluble β-Glucan from Oat Bran and Its Effect on Improving Lipid Metabolism in Mice Fed High-Fat Diet. Nutrients 2021, 13, 3254. [Google Scholar] [CrossRef] [PubMed]
  97. Sørensen, I.; Pettolino, F.A.; Wilson, S.M.; Doblin, M.S.; Johansen, B.; Bacic, A.; Willats, W.G.T. Mixed-linkage (1→3),(1→4)-β-d-glucan is not unique to the Poales and is an abundant component of Equisetum arvense cell walls. Plant J. 2008, 54, 510–521. [Google Scholar] [CrossRef] [PubMed]
  98. Havrlentová, M.; Kraic, J. Content of β-D-Glucan in Cereal Grains. J. Food Nutr. Res. 2006, 45, 97–103. [Google Scholar]
  99. Cui, S.W.; Wang, Q. Cell wall polysaccharides in cereals: Chemical structures and functional properties. Struct. Chem. 2009, 20, 291–297. [Google Scholar] [CrossRef]
  100. Veličković, D.; Ropartz, D.; Guillon, F.; Saulnier, L.; Rogniaux, H. New insights into the structural and spatial variability of cell-wall polysaccharides during wheat grain development, as revealed through MALDI mass spectrometry imaging. J. Exp. Bot. 2014, 65, 2079–2091. [Google Scholar] [CrossRef]
  101. Rakszegi, M.; Lovegrove, A.; Balla, K.; Láng, L.; Bedő, Z.; Veisz, O.; Shewry, P.R. Effect of heat and drought stress on the structure and composition of arabinoxylan and β-glucan in wheat grain. Carbohydr. Polym. 2014, 102, 557–565. [Google Scholar] [CrossRef]
  102. Roulin, S.; Buchala, A.J.; Fincher, G.B. Induction of (1→3,1→4)-*- D -glucan hydrolases in leaves of dark-incubated barley seedlings. Planta 2002, 215, 51–59. [Google Scholar] [CrossRef]
  103. Burton, R.A.; Fincher, G.B. Current challenges in cell wall biology in the cereals and grasses. Front. Plant Sci. 2012, 3, 130. [Google Scholar] [CrossRef]
  104. Francin-Allami, M.; Bouder, A.; Geairon, A.; Alvarado, C.; Le-Bot, L.; Daniel, S.; Shao, M.; Laudencia-Chingcuanco, D.; Vogel, J.P.; Guillon, F.; et al. Mixed-Linkage Glucan Is the Main Carbohydrate Source and Starch Is an Alternative Source during Brachypodium Grain Germination. Int. J. Mol. Sci. 2023, 24, 6821. [Google Scholar] [CrossRef] [PubMed]
  105. Bain, M.; van de Meene, A.; Costa, R.; Doblin, M.S. Characterisation of Cellulose Synthase Like F6 (CslF6) Mutants Shows Altered Carbon Metabolism in β-D-(1,3;1,4)-Glucan Deficient Grain in Brachypodium distachyon. Front. Plant Sci. 2021, 11, 602850. [Google Scholar] [CrossRef] [PubMed]
  106. Lim, W.L.; Collins, H.M.; Singh, R.R.; Kibble, N.A.J.; Yap, K.; Taylor, J.; Fincher, G.B.; Burton, R.A. Method for hull-less barley transformation and manipulation of grain mixed-linkage beta-glucan. J. Integr. Plant Biol. 2018, 60, 382–396. [Google Scholar] [CrossRef] [PubMed]
  107. Romano, G.; Del Coco, L.; Milano, F.; Durante, M.; Palombieri, S.; Sestili, F.; Visioni, A.; Jilal, A.; Fanizzi, F.P.; Laddomada, B. Phytochemical Profiling and Untargeted Metabolite Fingerprinting of the MEDWHEALTH Wheat, Barley and Lentil Wholemeal Flours. Foods 2022, 11, 4070. [Google Scholar] [CrossRef] [PubMed]
  108. Henry, R. Pentosan and (1 → 3),(1 → 4)-β-Glucan concentrations in endosperm and wholegrain of wheat, barley, oats and rye. J. Cereal Sci. 1987, 6, 253–258. [Google Scholar] [CrossRef]
  109. Walling, J.G.; Sallam, A.H.; Steffenson, B.J.; Henson, C.; Vinje, M.A.; Mahalingam, R. Quantitative trait loci impacting grain β-glucan content in wild barley (Hordeum vulgare ssp. spontaneum) reveals genes associated with cell wall modification and carbohydrate metabolism. Crop Sci. 2022, 62, 1213–1227. [Google Scholar] [CrossRef]
  110. Grote, U.; Fasse, A.; Nguyen, T.T.; Erenstein, O. Food Security and the Dynamics of Wheat and Maize Value Chains in Africa and Asia. Front. Sustain. Food Syst. 2021, 4, 617009. [Google Scholar] [CrossRef]
  111. Li, W.; Cui, S.W.; Kakuda, Y. Extraction, fractionation, structural and physical characterization of wheat β-d-glucans. Carbohydr. Polym. 2006, 63, 408–416. [Google Scholar] [CrossRef]
  112. Collins, H.M.; Burton, R.A.; Topping, D.L.; Liao, M.; Bacic, A.; Fincher, G.B. REVIEW: Variability in Fine Structures of Noncellulosic Cell Wall Polysaccharides from Cereal Grains: Potential Importance in Human Health and Nutrition. Cereal Chem. 2010, 87, 272–282. [Google Scholar] [CrossRef]
  113. Burton, R.A.; Gidley, M.J.; Fincher, G.B. Heterogeneity in the chemistry, structure and function of plant cell walls. Nat. Chem. Biol. 2010, 6, 724–732. [Google Scholar] [CrossRef]
  114. Buckeridge, M.S.; Vergara, C.E.; Carpita, N.C. Insight into multi-site mechanisms of glycosyl transfer in (1→4)β-d-glycans provided by the cereal mixed-linkage (1→3),(1→4)β-d-glucan synthase. Phytochemistry 2001, 57, 1045–1053. [Google Scholar] [CrossRef] [PubMed]
  115. Lovegrove, A.; Dunn, J.; Pellny, T.K.; Hood, J.; Burridge, A.J.; America, A.H.P.; Gilissen, L.; Timmer, R.; Proos-Huijsmans, Z.A.M.; van Straaten, J.P.; et al. Comparative Compositions of Grain of Bread Wheat, Emmer and Spelt Grown with Different Levels of Nitrogen Fertilisation. Foods 2023, 12, 843. [Google Scholar] [CrossRef] [PubMed]
  116. Cui, W.; Wood, P.; Blackwell, B.; Nikiforuk, J. Physicochemical properties and structural characterization by two-dimensional NMR spectroscopy of wheat β-D-glucan—Comparison with other cereal β-D-glucans. Carbohydr. Polym. 2000, 41, 249–258. [Google Scholar] [CrossRef]
  117. Schwerdt, J.G.; MacKenzie, K.; Wright, F.; Oehme, D.; Wagner, J.M.; Harvey, A.J.; Shirley, N.J.; Burton, R.A.; Schreiber, M.; Halpin, C.; et al. Evolutionary Dynamics of the Cellulose Synthase Gene Superfamily in Grasses. Plant Physiol. 2015, 168, 968–983. [Google Scholar] [CrossRef] [PubMed]
  118. Doblin, M.S.; Pettolino, F.A.; Wilson, S.M.; Campbell, R.; Burton, R.A.; Fincher, G.B.; Newbigin, E.; Bacic, A. A barley cellulose synthase-like CSLH gene mediates (1,3;1,4)-β- d -glucan synthesis in transgenic Arabidopsis. Proc. Natl. Acad. Sci. USA 2009, 106, 5996–6001. [Google Scholar] [CrossRef]
  119. Garcia-Gimenez, G.; Barakate, A.; Smith, P.; Stephens, J.; Khor, S.F.; Doblin, M.S.; Hao, P.; Bacic, A.; Fincher, G.B.; Burton, R.A.; et al. Targeted mutation of barley (1,3;1,4)-β-glucan synthases reveals complex relationships between the storage and cell wall polysaccharide content. Plant J. 2020, 104, 1009–1022. [Google Scholar] [CrossRef]
  120. Burton, R.A.; Wilson, S.M.; Hrmova, M.; Harvey, A.J.; Shirley, N.J.; Medhurst, A.; Stone, B.A.; Newbigin, E.J.; Bacic, A.; Fincher, G.B. Cellulose Synthase-Like CslF Genes Mediate the Synthesis of Cell Wall (1,3;1,4)-ß- d -Glucans. Science 2006, 311, 1940–1942. [Google Scholar] [CrossRef]
  121. Nemeth, C.; Freeman, J.; Jones, H.D.; Sparks, C.; Pellny, T.K.; Wilkinson, M.D.; Dunwell, J.; Andersson, A.A.; Åman, P.; Guillon, F.; et al. Down-Regulation of the CSLF6 Gene Results in Decreased (1,3;1,4)-β-d-Glucan in Endosperm of Wheat. Plant Physiol. 2010, 152, 1209–1218. [Google Scholar] [CrossRef]
  122. Taketa, S.; Yuo, T.; Tonooka, T.; Tsumuraya, Y.; Inagaki, Y.; Haruyama, N.; Larroque, O.; Jobling, S.A. Functional characterization of barley betaglucanless mutants demonstrates a unique role for CslF6 in (1,3;1,4)-β-D-glucan biosynthesis. J. Exp. Bot. 2011, 63, 381–392. [Google Scholar] [CrossRef]
  123. Wong, S.C.; Shirley, N.J.; Little, A.; Khoo, K.H.P.; Schwerdt, J.; Fincher, G.B.; Burton, R.A.; Mather, D.E. Differential expression of the HvCslF6 gene late in grain development may explain quantitative differences in (1,3;1,4)-β-glucan concentration in barley. Mol. Breed. 2015, 35, 20. [Google Scholar] [CrossRef]
  124. Garcia-Gimenez, G.; Russell, J.; Aubert, M.K.; Fincher, G.B.; Burton, R.A.; Waugh, R.; Tucker, M.R.; Houston, K. Barley grain (1,3;1,4)-β-glucan content: Effects of transcript and sequence variation in genes encoding the corresponding synthase and endohydrolase enzymes. Sci. Rep. 2019, 9, 17250. [Google Scholar] [CrossRef] [PubMed]
  125. Burton, R.A.; Jobling, S.A.; Harvey, A.J.; Shirley, N.J.; Mather, D.E.; Bacic, A.; Fincher, G.B. The Genetics and Transcriptional Profiles of the Cellulose Synthase-Like HvCslF Gene Family in Barley. Plant Physiol. 2008, 146, 1821–1833. [Google Scholar] [CrossRef] [PubMed]
  126. Little, A.; Schwerdt, J.G.; Shirley, N.J.; Khor, S.F.; Neumann, K.; O’donovan, L.A.; Lahnstein, J.; Collins, H.M.; Henderson, M.; Fincher, G.B.; et al. Revised Phylogeny of the Cellulose Synthase Gene Superfamily: Insights into Cell Wall Evolution. Plant Physiol. 2018, 177, 1124–1141. [Google Scholar] [CrossRef] [PubMed]
  127. Tsuchiya, K.; Urahara, T.; Konishi, T.; Kotake, T.; Tohno-Oka, T.; Komae, K.; Kawada, N.; Tsumuraya, Y. Biosynthesis of (13),(14)-beta-glucan in developing endosperms of barley (Hordeum vulgare). Physiol. Plant. 2005, 125, 181–191. [Google Scholar] [CrossRef]
  128. Dimitroff, G.; Little, A.; Lahnstein, J.; Schwerdt, J.G.; Srivastava, V.; Bulone, V.; Burton, R.A.; Fincher, G.B. (1,3;1,4)-β-Glucan Biosynthesis by the CSLF6 Enzyme: Position and Flexibility of Catalytic Residues Influence Product Fine Structure. Biochemistry 2016, 55, 2054–2061. [Google Scholar] [CrossRef]
  129. Jin, X.; Cai, S.; Han, Y.; Wang, J.; Wei, K.; Zhang, G. Genetic variants of HvGlb1 in Tibetan annual wild barley and cultivated barley and their correlation with malt quality. J. Cereal Sci. 2011, 53, 59–64. [Google Scholar] [CrossRef]
  130. Marcotuli, I.; Houston, K.; Schwerdt, J.G.; Waugh, R.; Fincher, G.B.; Burton, R.A.; Blanco, A.; Gadaleta, A. Genetic Diversity and Genome Wide Association Study of β-Glucan Content in Tetraploid Wheat Grains. PLoS ONE 2016, 11, e0152590. [Google Scholar] [CrossRef]
  131. Clarke, B.; Liang, R.; Morell, M.K.; Bird, A.R.; Jenkins, C.L.D.; Li, Z. Gene expression in a starch synthase IIa mutant of barley: Changes in the level of gene transcription and grain composition. Funct. Integr. Genom. 2008, 8, 211–221. [Google Scholar] [CrossRef]
  132. Fan, M.; Herburger, K.; Jensen, J.K.; Zemelis-Durfee, S.; Brandizzi, F.; Fry, S.C.; Wilkerson, C.G. A Trihelix Family Transcription Factor Is Associated with Key Genes in Mixed-Linkage Glucan Accumulation. Plant Physiol. 2018, 178, 1207–1221. [Google Scholar] [CrossRef]
  133. Garcia-Gimenez, G.; Schreiber, M.; Dimitroff, G.; Little, A.; Singh, R.; Fincher, G.B.; Burton, R.A.; Waugh, R.; Tucker, M.R.; Houston, K. Identification of candidate MYB transcription factors that influence CslF6 expression in barley grain. Front. Plant Sci. 2022, 13, 883139. [Google Scholar] [CrossRef]
  134. Manickavelu, A.; Kawaura, K.; Imamura, H.; Mori, M.; Ogihara, Y. Molecular mapping of quantitative trait loci for domestication traits and β-glucan content in a wheat recombinant inbred line population. Euphytica 2010, 177, 179–190. [Google Scholar] [CrossRef]
  135. Panozzo, J.F.; Eckermann, P.J.; Mather, D.E.; Moody, D.B.; Black, C.K.; Collins, H.M.; Barr, A.R.; Lim, P.; Cullis, B.R. QTL analysis of malting quality traits in two barley populations. Aust. J. Agric. Res. 2007, 58, 858–866. [Google Scholar] [CrossRef]
  136. Cory, A.; Baga, M.; Rossnagel, B.; Anyia, A.; Chibbar, R.N. Genetic markers for CslF6 gene associated with (1,3;1,4)-beta-glucan concentration in barley grain. J. Cereal Sci. 2012, 56, 332–339. [Google Scholar] [CrossRef]
  137. Chutimanitsakun, Y.; Cuesta-Marcos, A.; Chao, S.; Corey, A.; Filichkin, T.; Fisk, S.; Kolding, M.; Meints, B.; Ong, Y.-L.; Rey, J.I.; et al. Application of marker-assisted selection and genome-wide association scanning to the development of winter food barley germplasm resources. Plant Breed. 2013, 132, 563–570. [Google Scholar] [CrossRef]
  138. Mohammadi, M.; Blake, T.K.; Budde, A.D.; Chao, S.; Hayes, P.M.; Horsley, R.D.; Obert, D.E.; Ullrich, S.E.; Smith, K.P. A genome-wide association study of malting quality across eight U.S. barley breeding programs. Theor. Appl. Genet. 2015, 128, 705–721. [Google Scholar] [CrossRef]
  139. Asoro, F.G.; Newell, M.A.; Beavis, W.D.; Scott, M.P.; Tinker, N.A.; Jannink, J. Genomic, Marker-Assisted, and Pedigree-BLUP Selection Methods for β-Glucan Concentration in Elite Oat. Crop Sci. 2013, 53, 1894–1906. [Google Scholar] [CrossRef]
  140. Steele, K.; Dickin, E.; Keerio; Samad, S.; Kambona, C.; Brook, R.; Thomas, W.; Frost, G. Breeding low-glycemic index barley for functional food. Field Crop. Res. 2013, 154, 31–39. [Google Scholar] [CrossRef]
  141. Bedő, Z.; Láng, L. Wheat Breeding: Current Status and Bottlenecks. In Alien Introgression in Wheat: Cytogenetics, Molecular Biology, and Genomics; Springer International Publishing: Cham, Switzerland, 2015; pp. 77–101. [Google Scholar] [CrossRef]
  142. Riley, R.; Chapman, V. The production and phenotypes of wheat-rye chromosome addition lines. Heredity 1958, 12, 301–315. [Google Scholar] [CrossRef]
  143. Friebe, B.; Qi, L.L.; Nasuda, S.; Zhang, P.; Tuleen, N.A.; Gill, B.S. Development of a complete set of Triticum aestivum-Aegilops speltoides chromosome addition lines. Theor. Appl. Genet. 2000, 101, 51–58. [Google Scholar] [CrossRef]
  144. Amrein, T.M.; Gränicher, P.; Arrigoni, E.; Amadò, R. In vitro digestibility and colonic fermentability of aleurone isolated from wheat bran. LWT 2003, 36, 451–460. [Google Scholar] [CrossRef]
  145. Chang, S.-B.; de Jong, H. Production of alien chromosome additions and their utility in plant genetics. Cytogenet. Genome Res. 2005, 109, 335–343. [Google Scholar] [CrossRef]
  146. Garg, M.; Tsujimoto, H.; Gupta, R.K.; Kumar, A.; Kaur, N.; Kumar, R.; Chunduri, V.; Sharma, N.K.; Chawla, M.; Sharma, S.; et al. Chromosome Specific Substitution Lines of Aegilops geniculata Alter Parameters of Bread Making Quality of Wheat. PLoS ONE 2016, 11, e0162350. [Google Scholar] [CrossRef]
  147. Kwiatek, M.T.; Wiśniewska, H.; Ślusarkiewicz-Jarzina, A.; Majka, J.; Majka, M.; Belter, J.; Pudelska, H. Gametocidal Factor Transferred from Aegilops geniculata Roth Can Be Adapted for Large-Scale Chromosome Manipulations in Cereals. Front. Plant Sci. 2017, 8, 409. [Google Scholar] [CrossRef]
  148. King, J.; Grewal, S.; Yang, C.-Y.; Edwards, S.H.; Scholefield, D.; Ashling, S.; Harper, J.A.; Allen, A.M.; Edwards, K.J.; Burridge, A.J.; et al. Introgression of Aegilops speltoides segments in Triticum aestivum and the effect of the gametocidal genes. Ann. Bot. 2017, 121, 229–240. [Google Scholar] [CrossRef] [PubMed]
  149. Pritchard, J.R.; Lawrence, G.J.; Larroque, O.; Li, Z.; Laidlaw, H.K.; Morell, M.K.; Rahman, S. A survey of β-glucan and arabinoxylan content in wheat. J. Sci. Food Agric. 2011, 91, 1298–1303. [Google Scholar] [CrossRef] [PubMed]
  150. Du, X.; Jia, Z.; Yu, Y.; Wang, S.; Che, B.; Ni, F.; Bao, Y. A wheat-Aegilops umbellulata addition line improves wheat agronomic traits and processing quality. Breed. Sci. 2019, 69, 503–507. [Google Scholar] [CrossRef] [PubMed]
  151. Martin, A.; Sanchez-Monge Laguna, E. A Hybrid between Hordeum chilense and Triticum turgidum. Cereal Res. Commun. 1980, 8, 349–353. [Google Scholar]
  152. Molnár-Láng, M.; Linc, G.; Szakács, É. Wheat–barley hybridization: The last 40 years. Euphytica 2013, 195, 315–329. [Google Scholar] [CrossRef]
  153. Giordano, D.; Reyneri, A.; Locatelli, M.; Coïsson, J.D.; Blandino, M. Distribution of bioactive compounds in pearled fractions of tritordeum. Food Chem. 2019, 301, 125228. [Google Scholar] [CrossRef]
  154. Zdaniewicz, M.; Pater, A.; Hrabia, O.; Duliński, R.; Cioch-Skoneczny, M. Tritordeum malt: An innovative raw material for beer production. J. Cereal Sci. 2020, 96, 103095. [Google Scholar] [CrossRef]
  155. Ávila, C.M.; Rodríguez-Suárez, C.; Atienza, S.G. Tritordeum: Creating a New Crop Species—The Successful Use of Plant Genetic Resources. Plants 2021, 10, 1029. [Google Scholar] [CrossRef] [PubMed]
  156. Molnár-Láng, M.; Kruppa, K.; Cseh, A.; Bucsi, J.; Linc, G. Identification and phenotypic description of new wheat—Six-rowed winter barley disomic additions. Genome 2012, 55, 302–311. [Google Scholar] [CrossRef] [PubMed]
  157. Türkösi, E.; Cseh, A.; Darkó, É.; Molnár-Láng, M. Addition of Manas barley chromosome arms to the hexaploid wheat genome. BMC Genet. 2016, 17, 87. [Google Scholar] [CrossRef] [PubMed]
  158. Danilova, T.V.; Friebe, B.; Gill, B.S.; Poland, J.; Jackson, E. Development of a complete set of wheat–barley group-7 Robertsonian translocation chromosomes conferring an increased content of β-glucan. Theor. Appl. Genet. 2017, 131, 377–388. [Google Scholar] [CrossRef]
  159. Danilova, T.V.; Poland, J.; Friebe, B. Production of a complete set of wheat–barley group-7 chromosome recombinants with increased grain β-glucan content. Theor. Appl. Genet. 2019, 132, 3129–3141. [Google Scholar] [CrossRef]
  160. Colasuonno, P.; Marcotuli, I.; Cutillo, S.; Simeone, R.; Blanco, A.; Gadaleta, A. Effect of barley chromosomes on the β-glucan content of wheat. Genet. Resour. Crop Evol. 2020, 67, 561–567. [Google Scholar] [CrossRef]
  161. Cseh, A.; Cseh, A.; Soós, V.; Soós, V.; Rakszegi, M.; Rakszegi, M.; Türkösi, E.; Türkösi, E.; Balázs, E.; Balázs, E.; et al. Expression of HvCslF9 and HvCslF6 barley genes in the genetic background of wheat and their influence on the wheat β-glucan content. Ann. Appl. Biol. 2013, 163, 142–150. [Google Scholar] [CrossRef]
  162. Mergoum, M.; Singh, P.K.; Peña, R.J.; Lozano-del Río, A.J.; Cooper, K.V.; Salmon, D.F.; Gómez Macpherson, H. Triticale: A “New” Crop with Old Challenges. In Cereals. Handbook of Plant Breeding; Springer: New York, NY, USA, 2009; Volume 3. [Google Scholar]
  163. Wood, P.J. Oat and Rye β-Glucan: Properties and Function. Cereal Chem. 2010, 87, 315–330. [Google Scholar] [CrossRef]
  164. Irakli, M.; Biliaderis, C.G.; Izydorczyk, M.S.; Papadoyannis, I.N. Isolation, structural features and rheological properties of water-extractableβ-glucans from different Greek barley cultivars. J. Sci. Food Agric. 2004, 84, 1170–1178. [Google Scholar] [CrossRef]
  165. Choi, H.; Esser, A.; Murphy, K.M. Genotype × environment interaction and stability of β-glucan content in barley in the Palouse region of eastern Washington. Crop Sci. 2020, 60, 2500–2510. [Google Scholar] [CrossRef]
  166. International Wheat Genome Sequencing Consortium Home Page. Available online: https://www.wheatgenome.org/ (accessed on 22 August 2023).
  167. Brodkorb, A.; Egger, L.; Alminger, M.; Alvito, P.; Assunção, R.; Ballance, S.; Bohn, T.; Bourlieu-Lacanal, C.; Boutrou, R.; Carrière, F.; et al. INFOGEST static in vitro simulation of gastrointestinal food digestion. Nat. Protoc. 2019, 14, 991–1014. [Google Scholar] [CrossRef] [PubMed]
  168. Mulet-Cabero, A.-I.; Egger, L.; Portmann, R.; Ménard, O.; Marze, S.; Minekus, M.; Le Feunteun, S.; Sarkar, A.; Grundy, M.M.-L.; Carrière, F.; et al. A standardised semi-dynamic in vitro digestion method suitable for food—An international consensus. Food Funct. 2020, 11, 1702–1720. [Google Scholar] [CrossRef] [PubMed]
  169. Thuenemann, E.C.; Giuseppina, G.M.; Rich, G.T.; Faulks, R.M. Dynamic Gastric Model (DGM). In The Impact of Food Bioactives on Health: In Vitro and Ex Vivo Models; Springer: Cham, Switzerland, 2015. [Google Scholar]
  170. Gouseti, O.; Lovegrove, A.; Kosik, O.; Fryer, P.J.; Mills, C.; Gates, F.K.; Tucker, G.; Latty, C.; Shewry, P.R.; Bakalis, S. Exploring the Role of Cereal Dietary Fiber in Digestion. J. Agric. Food Chem. 2019, 67, 8419–8424. [Google Scholar] [CrossRef] [PubMed]
Figure 1. Usage of the top six cereal crops worldwide (FAO.org, accessed on 12 July 2023). The use of cereals as feed for animals (purple), food for humans (blue), and seed for propagation (yellow), as well as in processing (green) and non-food applications such as industry and biofuels (blue-green).
Figure 1. Usage of the top six cereal crops worldwide (FAO.org, accessed on 12 July 2023). The use of cereals as feed for animals (purple), food for humans (blue), and seed for propagation (yellow), as well as in processing (green) and non-food applications such as industry and biofuels (blue-green).
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Figure 2. Position of genes involved in the biosynthesis of arabinoxylan (A) and β-glucan (B) in the A, B, and D genomes of hexaploid wheat. Arrows indicate position of gene as labelled above. Gene details are as in Table 2.
Figure 2. Position of genes involved in the biosynthesis of arabinoxylan (A) and β-glucan (B) in the A, B, and D genomes of hexaploid wheat. Arrows indicate position of gene as labelled above. Gene details are as in Table 2.
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Figure 3. Breeding approaches employed to increase the amount of dietary fiber in wheat. Hexaploid wheat can be crossed with hexaploid wheat in a traditional breeding approach, or other germplasm (such as wild relatives or other domesticated cereals) can be utilized. Here, the example of Ae. geniculata is used.
Figure 3. Breeding approaches employed to increase the amount of dietary fiber in wheat. Hexaploid wheat can be crossed with hexaploid wheat in a traditional breeding approach, or other germplasm (such as wild relatives or other domesticated cereals) can be utilized. Here, the example of Ae. geniculata is used.
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Figure 4. β-glucan content as measured in Aegilops and Triticum species, as well as wheat–barley addition lines from various studies (see Supplementary Table S1 for specific data). Colors represent flours made from different parts of the cereal grain.
Figure 4. β-glucan content as measured in Aegilops and Triticum species, as well as wheat–barley addition lines from various studies (see Supplementary Table S1 for specific data). Colors represent flours made from different parts of the cereal grain.
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Table 1. The AX content in wholemeal and flour of wheat and other major cereals.
Table 1. The AX content in wholemeal and flour of wheat and other major cereals.
TO-AX [%]WE-AX [%]nAnalytical MethodReference
Wholemeal
wheat (%dw)6.360.5622GC[37]
wheat (%dw)5.80-26GC[38]
wheat (%dw)6.20-1Uppsala method[39]
winter wheat1.900.50131GC[40]
spring wheat2.000.5020GC[40]
durum wheat (%dw)4.060.5715HPAEC[41]
durum wheat1.950.4010GC[40]
spelt1.750.355GC[40]
einkorn1.950.605GC[40]
emmer1.700.255GC[40]
rye (%dw)6.693.892GC[42]
rye (%dw)7.93-5GC[43]
rye (%dw)8.60-1Uppsala method[39]
triticale (wheat × rye, %dw)6.70-8Uppsala method[39]
spring barley (dw)8.10-20Uppsala method[39]
tritordeum (durum wheat × wild barley, %dw)6.90-5Uppsala method[39]
oat (%dw)11.600.901HPAEC[44]
oat (%dw)8.35-141HPAEC[45]
Flour
wheat (%dw)2.180.5120GC[46]
wheat (%dw)1.990.5426GC[38]
wheat (synthetic × Opata cross, %dw)2.350.5190GC[47]
rye (%dw)3.641.2111GC[48]
rye (%dw)3.121.365GC[43]
spring barley (%dw)1.930.236GC[49]
winter barley (%dw)1.880.274GC[49]
oat (%dw)3.30-1HPAEC[45]
Table 2. Summary of genes involved in biosynthesis of arabinoxylan and β-glucan (* notes genes with the highest transcript abundance in developing wheat grain within the class, as in [50]).
Table 2. Summary of genes involved in biosynthesis of arabinoxylan and β-glucan (* notes genes with the highest transcript abundance in developing wheat grain within the class, as in [50]).
PolysaccharideProtein FunctionGene Name and ID (if Known)Reference
AXbackbone synthesis
(GT43)
TaGT43_1 *
TraesCS7A02G441400, TraesCS7B02G340100, TraesCS7D02G430700
[50,53,59]
TaGT43_2 *
TraesCS4A02G107400, TraesCS4B02G197000, TraesCS4D02G197300
TaGT43_3
TraesCS3A02G270100, TraesCS3B02G304000, TraesCS3D02G269800
TaGT43_4
TraesCS1A02G391000, TraesCS1B02G419100, TraesCS1D02G399000
backbone synthesis
(GT47)
TaGT47_1
TraesCS3A02G440100, TraesCS3B02G474200, TraesCS3D02G432900
TaGT47_2 *
TraesCS3A02G440800, TraesCS3B02G474900, TraesCS3D02G433400
TaGT47_4
TraesCS2A02G288300, TraesCS2B02G305100, TraesCS2D02G286600
TaGT47_3, TaGT47_5, TaGT47_6, TaGT47_10, TaGT47_13, TaGT47_14
arabinosylation
(GT61)
TaGT61_1/TaXAT1 *
TraesCS6A02G309400
[50,57]
TaGT61_2/TaXAT2
TraesCS1B02G371300
TaGT61_9, TaGT61_11, TaGT61_13, TaGT61_14
feruloylation
(BAHD)
TaBAHD1 *, TaBAHD3 *, TaBAHD4, TaBAHD5[50,54]
TaBAHD2
TraesCS3A02G119500, TraesCS3A02G119700, TraesCS3D02G121800
β-glucansynthesis/regulating
G3:G4 ratio
TaCslF6 *
TraesCS7A02G298600, TraesCS7B02G188400, TraesCS7D02G294300
[60,61,62,63]
synthesisCslH1
TraesCS2A02G302300, TraesCS2B02G318100, TraesCS2D02G300900
[61,62,63]
synthesisTaCslJ1/2
TraesCS3A02G094600, TraesCS3B02G110100, TraesCS3D02G095600, TraesCS3D02G094800
[61]
Table 3. QTLs identified in wheat related to arabinoxylan content, trait (Wf = white flour; Wm = wholemeal; RV = relative viscosity; WE-AX = water-extractable AX; TO-AX = total AX; WU-AX = water-unextractable AX), chromosome position (Chr), LOD score, and candidate genes. (* major QTL identified in the study).
Table 3. QTLs identified in wheat related to arabinoxylan content, trait (Wf = white flour; Wm = wholemeal; RV = relative viscosity; WE-AX = water-extractable AX; TO-AX = total AX; WU-AX = water-unextractable AX), chromosome position (Chr), LOD score, and candidate genes. (* major QTL identified in the study).
Plant MaterialTraitQTL IDChrNearest
Marker or Interval
LOD ScoreCandidate GenesRef
T.aestivum (bread wheat)Wf RV/WE-AX1-ARE1B >4.7 [65]
2-CtCs1B >3.8
Wf WE-AX3-R6C71B 14.5
Wf RV/WE-AX4-RER3B 3.74
5-CtCs3D 3.99
6-RER3D 4.96
7-CtCs4B 3.81
8-CtCs5D 26.8
9-CtCs6B 3.82
Wf WE-AX10-R6C76B 16.4
Wf RV11-VxI*6B 16.5
Wf RV/WE-AX12-RER7A 13.9
Wf RVMQTL11BXwpt50617.63ribosomal protein
MQTL23DXksuD1417.7kinase inhibitor
MQTL36BXwpt-86412.61translation initiation factor
T.aestivum (bread wheat)Wm TO-AXQGax.aww-2A.1 *2Awpt-3114-2A [66]
QGax.aww-3D.13Dwpt-0485-3D
QGax.aww-4D.1 *4Dgpw-95001-4D
QGax.aww-6B.16Bgwm680-6B
T.durum (tetraploid wheat)Wm TO-AXQGax.mgb-1A.11Awsnp_Ex_c45880_51550172 GH47, Gal7/GH35[67]
QGax.mgb-1A.21ARFL_Contig399_976 GT31
QGax.mgb-1B.11BEx_c40520_1484
QGax.mgb-1B.21BBS00039135_51
QGax.mgb-2A.12ABS00073381_51
QGax.mgb-2A.22AGENE-0762_808
QGax.mgb-2B.12BTdurum_contig45838_263 TaUGT1/GT1, cisZog2B/GT1, GT4
QGax.mgb-3A.13AKukri_c17966_634 CelC/GH1
QGax.mgb-3B.13BGENE-4918_283
Qgax.mgb-4B.14BTdurum_contig42229_113
QGax.mgb-5A.15AEx_c95453_1499 GT8, Ugt12887/GT1
QGax.mgb-5A.25ABS00068254_51 GT2, CE8
QGax.mgb-5A.35Atplb0056b09_1000 TaUGT1/GT1
QGax.mgb-6A.16ABobWhite_c27145_318
QGax.mgb-6B.16BBS00063217_51
QGax.mgb-7A.17ATdurum_contig69003_459 Gsl12/GT2/GT48 (β-1,3-glucan synthase)
QGax.mgb-7A.27Awsnp_Ex_c21854_31021668 Cel8/GH9
QGax.mgb-7A.37AGENE-4672_55
QGax.mgb-7B.17BKukri_c42653_179
T.aestivum (bread wheat)Wm TO-AXQgTOT-AX.caas-1B1BHVM23–Sec110.5 [68]
QgTOT-AX.caas-1D1DXwmc336–Xbarc1523.1
QgTOT-AX.caas-3B3BXbarc115–Xbarc3442.9
QgTOT-AX.caas-5B5BXbarc142–Xwmc283.3
Wm WU-AXQgWU-AX.caas-1B1BHVM23–Sec15.5
QgWU-AX.caas-3B3BXbarc115–Xbarc3444.2
Wm WE-AXQgWE-AX.caas-1A1AXbarc148–Xwmc4496.8
QgWE-AX.caas-1B1BHVM23–Sec110.5
QgWE-AX.caas-2B2BXwmc441–Xcfe529.2
QgWE-AX.caas-3B3BXbarc115–Xbarc3443.9
QgWE-AX.caas-5A5AXgwm443–Xcwem444.1
QgWE-AX.caas-5B5BXbarc142–Xwmc288.7
QgWE-AX.caas-6B6BXbarc79–Xbarc1783.7
QgWE-AX.caas-7A7AXbarc174–Xbarc1083.3
QgWE-AX.caas-7B7BXbarc1181–Xwmc5176.5
T.aestivum (bread wheat)Wf TO-AXY34Val-1A1AAX-945224892.4 [69]
Y34Ukr-1A *1AAX-949025313.2
Y34Cla-1B *1BAX-943858883.2
Y34Val-1B1BAX-945243142.5
Y34Ukr-1B *1BAX-948457425.1
Y34Ukr-2A2AAX-951641352.9
Y34Cla-2D2DAX-945387982.5
Y34Cla-5D5DAX-948778261.6
Wf RV/WE-AXY34Val-1A *1AAX-944309043.8
Y34Alt-1B *1BAX-9461800012.6
Y34Val-1B *1BAX-948078577.8
Y34Cla-2B *2BAX-944216493.1
Y34Alt-2B2BAX-945460452.7
Y34Alt-2D *2DAX-944521033.2
Y34Cla-3A3AAX-946030832
Y34Alt-3B *3BAX-943825956.1
Y34Ukr-3B3BAX-947699592.9
Y34Cla-3B *3BAX-956291785.9
Y34Alt-4B4BAX-948537262.4
Y34Alt-4D *4DAX-947666823.5
Y34Val-6B *6BAX-945938044.4
T.aestivum (bread wheat)Wf TO-AX11B1B_646895451 TraesCS1B02G424500/GH16[70]
21B1B_653086336
31B1B_653681771 TraesCS1B02G429500/GT61
41B1B_654915479
55B5B_14665450
Wf WE-AX61B1B_646895451 TraesCS1B02G424500/GH16
71B1B_653086336
81B1B_653681771 TraesCS1B02G429500/GT61
91B1B_654915479
102B2B_184634480 TraesCS2B02G204300/GH43
116B6B_26597224
127A7A_234827309 TraesCS7A02G250500/peroxidase
TraesCS7A02G251400/GH13/peroxidase
137A7A_264333614
147A7A_458678969 TraesCS7A02G317700/GH9
TraesCS7A02G319100/peroxidase
157A7A_474572231
167A7A_516508921 TraesCS7A02G349200/GH11
TraesCS7A02G352000/peroxidase
TraesCS7A02G352900/peroxidase
TraesCS7A02G353000/peroxidase
TraesCS7A02G353200/peroxidase
TraesCS7A02G353300/peroxidase
TraesCS7A02G353400/peroxidase
177A7A_700824770 TraesCS7A02G514300/GT1
187B7B_454100716
Table 4. Examples of wheat germplasms with great potential in genetic improvement of arabinoxylan (AX) and β-glucan.
Table 4. Examples of wheat germplasms with great potential in genetic improvement of arabinoxylan (AX) and β-glucan.
Germplasm or CrossChange in AX/β-Glucan AmountReference
AX
Yumai34 × Ukrainka~+ 5–9 mg/g TO-AX compared to cv Ukrainka
~ + 3–4 mg/g WE-AX compared to cv Ukrainka
[71]
Yumai34 × Lupus~+ 3–4 mg/g TO-AX compared to cv Lupus
~+ 2–3 mg/g WE-AX compared to cv Lupus
Aegilops geniculata
Addition line:
5U
7U
less TO-AX, more WE-AX compared to cv Chinese Spring[76]
+7 mg/g compared to control
+7 mg/g compared to control
Aegilops biuncialis
Addition line:
1U
less TO-AX, more WE-AX compared to cv Chinese Spring
+5 mg/g compared to control
β-glucan
Aegilops umbellulata (2n = 2x = 14, UU)+62 mg/g compared to cv Chinese Spring (1 year)[77]
Aegilops markgrafii
(n = 2x = 14, CC)
+37.4–36.7 mg/g compared to cv Chinese Spring (2 years)
Aegilops biuncialis
(2n = 4x = 28, UbUbMbMb)
+26.68–28.66 mg/g compared to control wheat (2 years)[78]
Aegilops geniculata
(2n = 4x = 28, Ug UgMgMg)
Addition line:
5U
7U
7M
~+43 mg/g compared to control wheat[76]
+4 mg/g compared to control
+4 mg/g compared to control
+2 mg/g compared to control
Aegilops biuncialis
(2n = 4x = 28, UbUbMbMb)
Addition line:
7M
~+20 mg/g compared to control wheat
+4 mg/g compared to control
Table 5. G3:G4 ratio in wheat samples from selected publications (2000–2017). All analyses were performed using HPAEC-PAD.
Table 5. G3:G4 ratio in wheat samples from selected publications (2000–2017). All analyses were performed using HPAEC-PAD.
SampleG3:G4Other InfoSource
Immature endosperm (17 dpa)1.2cv. Cadenza[50]
Immature endosperm (21 dpa)1.2cv. Cadenza[50]
Immature endosperm (42 dpa)1.3cv. Cadenza[50]
Immature endosperm (28 dpa)1.3cv. Cadenza[50]
Immature endosperm (35 dpa)1.4cv. Cadenza[50]
Immature endosperm (14 dpa)1.4cv. Cadenza[50]
Wholemeal flour1.4Chinese Spring 5Ug addition line; estimated from graph[76]
Immature endosperm (21 dpa)1.5cv. Hereward[28]
Wholemeal flour1.6Ae. biuncialis; estimated from graph[76]
Break 1 milling fraction1.8cv. Hereward[28]
Wholemeal flour1.9Ae. geniculata; estimated from graph[76]
Wholemeal flour1.9Chinese Spring 6Ug addition line; estimated from graph[76]
Reduction 1 milling fraction1.9cv. Hereward[28]
Wholemeal flour2.0Chinese Spring 3Ub addition line; estimated from graph[76]
Wholemeal flour2.2cv. Chinese Spring; estimated from graph[76]
Wholemeal flour2.3Bread wheat (high nitrogen)[115]
Wholemeal flour2.4Bread wheat (low nitrogen)[115]
Wholemeal flour2.5cv. Hereward[28]
Fine bran milling fraction2.6cv. Hereward[28]
Coarse bran milling fraction3.1cv. Hereward[28]
White wheat bran powder 504.3Purified beta glucan; mean of 7 fractions[111]
Wheat bran4.5 [116]
Table 6. QTLs identified in wheat relating to β-glucan content. Chromosome position (Chrs), LOD score, and candidate genes are listed.
Table 6. QTLs identified in wheat relating to β-glucan content. Chromosome position (Chrs), LOD score, and candidate genes are listed.
Plant MaterialQTLChrsClosest
Marker
LOD
Score
Candidate GeneRef
T.aestivum × T. spelta
RIL (F8)
QBgn3AXbarc452.83glucan endo-1,3-β-glucosidase[134]
QBgn1BXhbg4063.31-
QBgn5BXgwm5405.31-
QBgn6DXcfd803.07-
T. turgidum L. ssp: durum, turanicum, polonicum, turgidum, carthlicum, dicoccum, dicoccoides, aethiopicumQGbg.mgb-1A.11AIWB429763.2-[130]
QGbg.mgb-1A.21AIWB453412.8endo-β-1,4-glucanase
QGbg.mgb-2A.12AIWB667383.3starch synthase II
QGbg.mgb-2A.22AIWB265933.1b-amylase
QGbg.mgb-2B2BIWB18983.5(1,4)-b xylanase
QGbg.mgb-3B3BIWB117352.9Xip-II xylanase inhibitor
QGbg.mgb-5B5BIWB705463.2-
QGbg.mgb-7A.17AIWB741663.4isoamylase
QGbg.mgb-7A.27AIWB687973.2fructan 1-exohydrolase
T. turgidum L. ssp. durum
cv Duilio × Avonlea
RIL (F2:7)
QGbg.mgb-2A.12AIWB12804.5-[62]
QGbg.mgb-2B.12BIWB301154.7-
QGbg.mgb-2B.22BIWB237833.8β-glucosidase 1a
Aegilops biuncialis14M/6U100022501_F_04.5glutathione S-transferase 3-like[78]
Aegilops biuncialis25M100013840_F_13.1-
Aegilops biuncialis31M/1U100079925_F_03.6-
T.aestivum L. (line Mv9kr1)14ABD100022501_F_04.5microsomal glutathione S-transferase 3 *
T.aestivum L. (line Mv9kr1)25ABD100013840_F_13.1-
T.aestivum L. (line Mv9kr1)31ABD100079925_F_03.6putative peptide transporter *
* Inferred from similarity of gene identified in relevant study with proteins on UniProt (https://www.uniprot.org/, accessed on 28 July 2023).
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Prins, A.; Kosik, O. Genetic Approaches to Increase Arabinoxylan and β-Glucan Content in Wheat. Plants 2023, 12, 3216. https://doi.org/10.3390/plants12183216

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Prins A, Kosik O. Genetic Approaches to Increase Arabinoxylan and β-Glucan Content in Wheat. Plants. 2023; 12(18):3216. https://doi.org/10.3390/plants12183216

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Prins, Anneke, and Ondrej Kosik. 2023. "Genetic Approaches to Increase Arabinoxylan and β-Glucan Content in Wheat" Plants 12, no. 18: 3216. https://doi.org/10.3390/plants12183216

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