Skip to main content
Advertisement
  • Loading metrics

An auxin signaling network translates low-sugar-state input into compensated cell enlargement in the fugu5 cotyledon

  • Hiromitsu Tabeta,

    Roles Data curation, Formal analysis, Investigation, Methodology, Validation, Writing – original draft, Writing – review & editing

    Affiliations Department of Biology, Tokyo Gakugei University, Koganei-shi, Tokyo, Japan, RIKEN Center for Sustainable Resource Science, Yokohama, Japan, Department of Life Sciences, Graduate School of Arts and Sciences, The University of Tokyo, Komaba, Meguro-ku, Tokyo, Japan

  • Shunsuke Watanabe,

    Roles Data curation, Formal analysis, Methodology, Writing – original draft

    Affiliation RIKEN Center for Sustainable Resource Science, Yokohama, Japan

  • Keita Fukuda,

    Roles Data curation, Formal analysis

    Affiliation Department of Biology, Tokyo Gakugei University, Koganei-shi, Tokyo, Japan

  • Shizuka Gunji,

    Roles Data curation, Formal analysis, Writing – review & editing

    Affiliation Department of Biology, Tokyo Gakugei University, Koganei-shi, Tokyo, Japan

  • Mariko Asaoka,

    Roles Data curation, Formal analysis

    Affiliations Department of Biology, Tokyo Gakugei University, Koganei-shi, Tokyo, Japan, Laboratoire de Reproduction et Développement des Plantes, Université de Lyon, UCB Lyon 1, ENS de Lyon, INRA, CNRS, Lyon, France

  • Masami Yokota Hirai,

    Roles Funding acquisition, Methodology, Supervision

    Affiliation RIKEN Center for Sustainable Resource Science, Yokohama, Japan

  • Mitsunori Seo,

    Roles Data curation, Formal analysis, Methodology, Writing – original draft

    Affiliation RIKEN Center for Sustainable Resource Science, Yokohama, Japan

  • Hirokazu Tsukaya,

    Roles Funding acquisition, Supervision, Writing – original draft

    Affiliation Department of Biological Sciences, Graduate School of Science, The University of Tokyo, Tokyo, Japan

  • Ali Ferjani

    Roles Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing

    ferjani@u-gakugei.ac.jp

    Affiliation Department of Biology, Tokyo Gakugei University, Koganei-shi, Tokyo, Japan

Abstract

In plants, the effective mobilization of seed nutrient reserves is crucial during germination and for seedling establishment. The Arabidopsis H+-PPase-loss-of-function fugu5 mutants exhibit a reduced number of cells in the cotyledons. This leads to enhanced post-mitotic cell expansion, also known as compensated cell enlargement (CCE). While decreased cell numbers have been ascribed to reduced gluconeogenesis from triacylglycerol, the molecular mechanisms underlying CCE remain ill-known. Given the role of indole 3-butyric acid (IBA) in cotyledon development, and because CCE in fugu5 is specifically and completely cancelled by ech2, which shows defective IBA-to-indoleacetic acid (IAA) conversion, IBA has emerged as a potential regulator of CCE. Here, to further illuminate the regulatory role of IBA in CCE, we used a series of high-order mutants that harbored a specific defect in IBA-to-IAA conversion, IBA efflux, IAA signaling, or vacuolar type H+-ATPase (V-ATPase) activity and analyzed the genetic interaction with fugu5–1. We found that while CCE in fugu5 was promoted by IBA, defects in IBA-to-IAA conversion, IAA response, or the V-ATPase activity alone cancelled CCE. Consistently, endogenous IAA in fugu5 reached a level 2.2-fold higher than the WT in 1-week-old seedlings. Finally, the above findings were validated in icl–2, mls–2, pck1–2 and ibr10 mutants, in which CCE was triggered by low sugar contents. This provides a scenario in which following seed germination, the low-sugar-state triggers IAA synthesis, leading to CCE through the activation of the V-ATPase. These findings illustrate how fine-tuning cell and organ size regulation depend on interplays between metabolism and IAA levels in plants.

Author summary

How leaf size is determined is a longstanding question in biology. In the simplest scenario, leaf size would be a function of cell number and size. Yet, accumulating evidence on the model plant Arabidopsis thaliana suggested the presence of compensatory mechanisms, so that when the leaf contains fewer cells, the size of each cell is unusually increased (the so-called compensated cell enlargement (CCE)). While decreased cell numbers in the compensation exhibiting fugu5 mutants have been ascribed to reduced sugar biosynthesis from seed oil reserves, molecular mechanisms underlying CCE remain ill-known. Recently, IBA (a precursor of the phytohormone auxin) has emerged as a potential regulator of CCE. Here, to further illuminate the role of IBA in CCE, we used a series of high-order mutants and analyzed their genetic interaction with fugu5. We found that while CCE in fugu5 was promoted by IBA, defects in IBA-to-auxin conversion, auxin response, or the vacuolar V-ATPase activity alone cancelled CCE. This provides a scenario in which following seed germination, the low-sugar-state triggers auxin synthesis, leading to CCE through the activation of the V-ATPase, illustrating how fine-tuning cell and organ size regulation depend on interplays between metabolism and auxin levels in plants.

Introduction

Leaves are the primary plant photosynthetic organs and are the site of metabolic reactions critical for survival. In nature, plants have developed survival strategies to adapt to fluctuating environments, including altered leaf size, shape, and thickness. Because floral organs can be considered as modified leaves, understanding leaf development is fundamental for understanding the diverse morphologies found in the plant kingdom [1].

Organogenesis in leaves proceeds through two stages: cell proliferation and cell expansion. Coordination between proliferation and expansion is vital for leaves to grow to a fixed size [2,3]. Many studies have investigated the coordination of cell size and cell numbers in organs of multicellular organisms [48]. Among them, studies on Arabidopsis thaliana have suggested the presence of compensatory mechanisms in leaves, so that when the leaf contains fewer cells, the size of these cells is unusually increased [3,915]. Compensation also suggests that a leaf can perceive its own size, and decreased cell number “input” is translated into excessive cell enlargement “output,” suggesting an important role for cell to cell communication [3,16]. This hints at the existence of a leaf-size regulatory network, and that understanding the molecular mechanism underlying this compensation is key to unveiling the relationship between cell number and cell size in an organ-wide context [17].

Compensation occurs in several mutants and transgenic plants, in which leaf cell numbers are significantly reduced [3,1719]. Compensation consists of two phases: the induction phase that consists of a reduction in the number of cells due to decreased proliferative cell activity, and the response phase during which post-mitotic cell expansion of individual leaf cells is abnormally enhanced [3,16]. Kinematic analyses have revealed that compensated cell enlargement (CCE) occurs through three different modes: an enhanced cell expansion rate (Class I), an extended cell expansion period (Class II, including fugu5), and increased cell size during the proliferative cell stage (Class III) [3,12,17,2022]. Therefore, to clarify the molecular mechanisms underlying compensation, the induction and response phases must be understood first.

In the Class II compensation exhibiting mutant fugu5, mature cotyledons contain ~60% fewer cells, but these cells are ~1.8-fold larger compared to wild type (WT) [3,2225]. This involves large-scale metabolic modifications. Indeed, in fugu5, the loss of the vacuolar H+-PPase activity leads to excess cytosolic pyrophosphate (PPi) accumulation, which partially reduces the triacylglycerol (TAG)-to-sucrose (Suc) conversion and cotyledon cell number [23]. During germination, Suc is synthesized from the TAG of the oil bodies via β-oxidation, the glyoxylate cycle, the TCA cycle, and gluconeogenesis [26]. Development of Arabidopsis seedlings relies on TAG-Suc conversion as the sole energy source before they acquire photosynthetic capacity [26]. Therefore, the fugu5 mutant exhibits cell proliferation defects in the cotyledons. Consistently, excess PPi interferes with the metabolic reactions that produce Suc, specifically through inhibition of UDP-glucose pyrophosphorylase (UGPase) activity [27].

Although the induction phase in fugu5 is now better understood, our knowledge of CCE remains limited. We recently reported that the loss of activity of the peroxisomal enzyme enoyl-CoA hydratase2 (ECH2) completely suppressed CCE, not only in the fugu5 background but also in all Class II mutants, namely, isocitrate lyase-2 (icl–2; [28]), malate synthase-2 (mls–2; [29]), phosphoenolpyruvate carboxykinase1–2 (pck1–2; [30]), hinting at the pivotal role of ECH2 activity in Class II CCE [22,25]. However, ECH2 is involved in many metabolic reactions, leaving the key question of how ECH2 affects CCE, unanswered [31].

ECH2 is partially involved in fatty acid β-oxidation and the conversion of indol-3-butyric acid (IBA) into indol-3-acetic acid (IAA), which is the major endogenous auxin in plant peroxisomes [26,32,33]. IBA is a minor auxin precursor metabolite, while the majority of IAA is synthesized from tryptophan via indole-3-pyruvic acid [3335]. IAA homeostasis is achieved through specific metabolic pathways that can release/store IAA from/into its inactive forms such as amino acids and sugar conjugates, and methyl-IAA [35,36], or synthesize IAA de novo from several other metabolic pathways [37]. Although IBA was first detected as a growth-promoting substance in 1954 [38], our understanding of IBA biosynthesis remains fragmentary. Recently, however, INDOLE-3-BUTYRIC ACID RESPONSE (IBR) 1 (IBR1; [39]), IBR3 [40], and IBR10 [39], which are peroxisomal enzymes involved in the reactions synthesizing IAA from IBA, have been elucidated and it has been revealed that IBA is also involved in the regulation of plant development [34,41]. The ibr1–2 ibr3–1 ibr10–1 triple mutant (ibr1,3,10, hereafter) displayed abnormal root hairs and lateral roots, suggesting a role for IBA in root development [33,34]. On the other hand, it has been reported that the ibr1,3,10 mutant displays small cotyledons [34]. More interestingly, mutants with defects in the IBA efflux carriers PENETRATION3 (PEN3; [42]) and PLEIOTROPIC DRUG RESISTANCE 9 (PDR9; [4244]) have larger cotyledons, when compared to the WT, possibly due to high intracellular IBA, and thus higher endogenous IAA levels in these organs [42]. From these findings, IBA-derived IAA plays an important role not only in roots but also in plant shoots and particularly in cotyledons during their early developmental stage.

In recent years, mutants involved in the production or storage of IBA have been found to display larger or smaller cotyledons, respectively. Based on the involvement of IBA in cotyledon development, we have proposed that IBA might be a key metabolite driving CCE [22,25]. Also, treatment with IAA (1 μM) causes a significant increase in the volume of red beet taproot vacuoles [45,46]. Thus, to elucidate the mechanism of class II CCE, we performed molecular genetic analyses in a fugu5 mutant background combined with mutants with defects in IBA-to-IAA conversion, IBA efflux, IAA signaling, or V-ATPase activity. Collectively, our findings suggest that CCE in fugu5 mainly depends on endogenous IAA levels. We identify a strong link between carbohydrate metabolism and plant hormonal signaling, where AUXIN RESPONSE FACTOR (ARF) 7 and ARF19 play pivotal roles in transducing auxin signals and triggering CCE, probably through the activation of the vacuolar V-ATPase.

Results

ibr1,3,10 mutations completely suppress CCE in the fugu5 background

In a previous study, we found that CCE was completely suppressed in ech2–1 fugu5–1 and ech2–2 fugu5–1 mature cotyledons, suggesting that IBA, a substrate of ECH2, is likely involved in fugu5 CCE [22]. However, Li et al. [31] found that the accumulation of the precursor compound of the metabolic reaction catalyzed by ECH2 caused ech2–1 developmental defects. Simultaneously, this metabolic disorder in ech2–1 also indirectly affected the conversion of IBA to produce IAA. These findings indicate that the loss of ECH2 affects many metabolic reactions, including IBA-to-IAA conversion. Moreover, the triple mutant ibr1,3,10 exhibits a typical low-auxin phenotype reminiscent of ech2–1 [33]. Based on these studies, we conducted genetic analyses using ibr1,3,10 fugu5–1 to corroborate the importance of IBA-to-IAA conversion in CCE.

Quantitative analyses revealed that cell numbers, cell sizes and cotyledon sizes in ibr1-2 fugu5-1, ibr3-1 fugu5-1, and ibr10-1 fugu5-1 were comparable to the WT (S1 Fig). However, the cotyledon of the ibr1,3,10 fugu5-1 quadruple mutant was smaller than that of the WT and fugu5–1 (Fig 1A and 1B). Subsequent quantification at the cellular level revealed a reduced cell number in ibr1,3,10 fugu5–1 to the same extent as in fugu5–1 and ibr1,3,10 (Fig 1B). However, cells in the quadruple mutant were comparable in size to those of the WT (Fig 1B). Note that fugu5 cotyledon area was not different from the WT (Figs 1B and S1B).

thumbnail
Fig 1. ibr Triple Mutation Suppressed Class II CCE in fugu5 Background.

(A) Gross and cellular phenotypes. Photographs show the seedling gross morphology, taken at 10 DAS. White bars = 4 mm. Corresponding palisade tissue cells images taken at 25 DAS. Black bars = 50 μm. (B) Quantification of cotyledon cellular phenotypes. Cotyledons of each genotype were dissected from plants grown on rockwool for 25 DAS, fixed in FAA, and cleared for microscopic observations. Data show cotyledon cell number, cell areas and cotyledon area. Data are means ± SD (n = 16 cotyledons). Single asterisk indicates that the mutant was statistically significantly different compared to the WT (Tukey’s HSD test at P < 0.05; R version 3.5.1), and double asterisk indicates that the quadruple mutant was statistically significantly different compared to fugu5–1 (Tukey’s HSD test at P < 0.05; R version 3.5.1) DAS, days after sowing.

https://doi.org/10.1371/journal.pgen.1009674.g001

Next we tested whether the reduced cell numbers in fugu5–1 is due to the lack of Suc, acting as the trigger of CCE [2225,27]. To do so, we assessed the phenotypic effects of exogenous Suc supply on the ibr1,3,10 fugu5–1 quadruple mutant phenotype. While cell numbers in the quadruple mutant cotyledons were reset to the WT levels, the cell size remained unchanged and was comparable to the fugu5–1 single mutant (S2 Fig). In addition, we noticed smaller rosette leaves, shorter flowering stems in fugu5–1 and the quadruple mutant compared to the WT and ibr1,3,10 (S3 Fig), suggesting a growth delay in ibr1,3,10 fugu5–1, as is seen in the fugu5–1 single mutant [23,47].

These results indicate that Class II CCE in fugu5–1 is suppressed when IBA-to-IAA conversion is genetically impaired, mimicking ech2–1 fugu5–1 [22,25]. Surprisingly, although cell numbers in ibr1,3,10 cotyledons were decreased to the same level as in fugu5–1 (Fig 1B), this phenotype significantly but only partially recovered following exogenous supply of Suc (S2 Fig).

ibr10 mutants exhibit Class II CCE

The small cotyledon phenotype in ibr1,3,10 has been attributed to the failure of IBA-to-IAA conversion [34]. However, the cellular phenotypes of ibr1–2, ibr3–1, and ibr10–1 single mutant cotyledons have not been reported. Although the single mutant gross morphology, and cotyledon aspect-ratios were comparable to that of the WT (S4A and S4B Fig), quantification of their cotyledon cellular phenotypes revealed that while ibr1–2 and ibr3–1 display normal cell numbers and cell sizes, ibr10–1 exhibited significantly fewer cells and thus CCE (S4C Fig).

As the ech2–1 mutation completely suppresses CCE in fugu5–1 [22], ech2–1 was introgressed into ibr10–1, and the cellular phenotypes in cotyledons from the double mutant were analyzed. Our results revealed that CCE did not occur in ibr10–1 ech2–1 despite having a significantly reduced cell number (Fig 2A and 2B). Moreover, exogenous Suc supply cancelled compensation in the ibr10–1 mutant background (Fig 2A and 2C). Analyses of another allele, ibr10–2 (SALK_201893C), confirmed our findings (S5A and S5B Fig).

thumbnail
Fig 2. ibr10 Mutants Exhibit Typical Class II Compensation.

(A) Seedling gross phenotypes and cotyledon cellular phenotypes. Seedling (left panels) and corresponding cotyledon palisade tissue cells (right panels) of each line grown either on rockwool or MS + 2% Suc medium, respectively. Seedling photographs were taken at 10 DAS. Bar = 5 mm. Palisade tissue cells images were taken at 25 DAS. Bar = 100 μm. DAS, days after sowing. (B) Quantification of cotyledon cellular phenotypes. Cell number, cell area and cotyledon area were determined in cotyledons grown on rockwool (without exogenous Suc). Data are means ± SD (n = 8 cotyledons). Letters indicate groups (Tukey’s HSD test at P < 0.05; R version 3.5.1). (C) Quantification of cotyledon cellular phenotypes. Cell number, cell area and cotyledon area were determined in cotyledons grown on MS + 2% Suc medium for 25 DAS. Data are means ± SD (n = 8 cotyledons). Letters indicate groups (Tukey’s HSD test at P < 0.05; R version 3.5.1). (D) Time course analyses of TAG breakdown. Seeds of the WT and all mutant lines indicated above were surface-sterilized and sown on MS medium plates without Suc supply. TAG contents were quantified as described in “Methods”; 20 dry seeds or 20 etiolated seedlings were used for each measurement. Data are means ± SD (n = three independent experiments; three independent measurements per experiment). Single asterisk represents a statistically significant difference compared to the WT (P < 0.01 by Dunnett’s test; R version 3.5.1). DAI, days after induction of seed germination. TAG, triacylglycerol. (E) Quantification of Suc contents in etiolated seedlings. 100 etiolated seedlings were collected from MS medium without Suc, and Suc contents were quantified using the internal standard methods of GC-QqQ-MS at 3 DAI. Data are means ± SD (n = five independent experiments; three independent measurements per each experiment). Single asterisk represents a statistically significant difference compared to the WT (P < 0.05 by Dunnett’s test; R version 3.5.1).

https://doi.org/10.1371/journal.pgen.1009674.g002

Because cell number can be rescued by the application of exogenous Suc as in the fugu5 single mutants (Fig 2C; [23]), we next focused on key metabolites in the ibr10 mutants during seedling establishment. First, quantification of TAG content in dry seeds and etiolated seedlings revealed that although TAG breakdown in fugu5–1, ibr1–2, and ibr3–1 single mutants was relatively normal, it was significantly delayed in ech2–1, ibr10–1, and ibr10–2 (Fig 2D). Compared to the WT, fugu5–1 mutants produced less UDP-Glc, and thus less de novo Suc due to high cytosolic PPi, but TAG breakdown was almost unaffected [23,27]. However, in the ibr10 and ech2–1 mutants, both of which are defective in peroxisomal enzymes, TAG breakdown was markedly impaired (Fig 2D). To gain insight into the effects of the ibr10 mutations on gluconeogenesis, we quantified the Suc levels. Our measurements revealed that the Suc levels in the ibr10 mutants were decreased to nearly 60% of the WT (Fig 2E), suggesting that fatty acid β-oxidation was impaired in the ibr10 mutants. Surprisingly, Suc levels were either slightly increased or unchanged in ibr1-2 and ibr3-1, respectively (S6 Fig). Based on these findings, the ibr10 mutants could qualify as Class II CCE mutants, with similar properties to fugu5. ibr10–1 was used as a representative allele for the following analyses. Note that CCE in ibr10–1 was also suppressed in the ibr1,3,10–1 triple mutant background (Fig 1B), indicating the importance of IBA-derived IAA for ibr10–1 cell size increase.

Defects in IBA efflux further enhance CCE in fugu5

IBA is transported over long distances by several carriers, including ABCG36/PEN3/PDR8 [42] and ABCG37/PDR9/PIS1 [4244], both of which mediate IBA efflux through the plasma membrane (reviewed in [48,49]). These IBA transporters play important regulatory roles in cellular IBA levels (reviewed in [50]). The pen3–4 mutant displayed high-auxin phenotypes in several organs, including the cotyledons, indicating that cellular IAA levels within these organs are increased due to disrupted IBA outflow [42]. Therefore, we investigated the contribution of pen3–4 and pdr9–2 mutations on CCE.

To examine the effects of IBA accumulation on CCE, we generated pen3–4 fugu5–1, pdr9–2 fugu5–1, and pen3–4 pdr9–2 fugu5–1 mutant combinations and compared their cotyledon cellular phenotypes to fugu5–1. All double and triple mutants in the fugu5–1 background exhibited slightly bigger oblong cotyledons, reminiscent of fugu5–1, as indicated by the cotyledon size (Fig 3A) and cotyledon aspect-ratios (Fig 3B). On the other hand, while cell numbers in pen3–4, pdr9–2, and pen3–4 pdr9–2 were almost unaffected (Fig 3C), cell sizes were significantly larger than the WT (Fig 3D). Notably, cells in pen3–4 fugu5–1, pdr9–2 fugu5–1 were significantly larger than those in fugu5–1 single mutants (Fig 3D), indicating that CCE was enhanced due to the high IBA levels. In other words, the pen3–4 and pdr9–2 mutations promoted CCE. Hereafter, this phenotype will be referred to as overcompensated cell enlargement (OCE).

thumbnail
Fig 3. pen3–4 and pdr9–2 Mutations Independently and Collectively Enhanced Compensated Cell Enlargement in fugu5.

Cotyledons were dissected from plants grown on rockwool for 25 DAS, fixed in FAA, and cleared for microscopic observations. Data show the cotyledon area (A), cotyledon aspect-ratio (B), cotyledon cell number (C) and cotyledon cell area (D), respectively. Data are means ± SD (n = 8 cotyledons). The cotyledon aspect ratio was calculated by dividing cotyledon blade length by cotyledon blade width. Longer cotyledons have greater aspect-ratio values. Data in the beeswarm plots indicate the value of aspect-ratio (n ≦ 10 cotyledons). Letters indicate groups (Tukey’s HSD test at P < 0.05; R version 3.5.1). DAS, days after sowing.

https://doi.org/10.1371/journal.pgen.1009674.g003

Role of the ARF-mediated auxin response in CCE

Based on the genetic evidence, CCE in fugu5 can either be enhanced or suppressed in an IBA-derived IAA-level dependent manner. In general, IAA signaling is mediated by AUX/IAA proteins and ARF transcription factors (TFs) [5155]. In this study, we focused on ARF7 and ARF19 because they are strongly expressed in cotyledons from 1-week-old seedlings [56]. To address the role of IAA signaling in fugu5, we generated arf7–1 fugu5–1, arf19–1 fugu5–1 and arf7–1 arf19–1 fugu5–1 mutants and analyzed their cellular phenotypes.

Our results indicated that the cotyledon size in arf7–1 arf19–1 and arf7–1 arf19–1 fugu5–1 mutants was notably smaller when compared to WT or fugu5–1 (Fig 4A and 4B). Next, quantification of cotyledon cellular phenotypes revealed that all of the mutants in the fugu5–1 background displayed significantly decreased cotyledon cell numbers (Fig 4B). In addition, the cotyledonary palisade tissue cells in the arf7–1 fugu5–1 double mutant were slightly smaller than those in fugu5–1 (Fig 4B). Importantly, cell size in arf7–1 arf19–1 fugu5–1 was indistinguishable from the WT (Fig 4B). These findings indicate that an auxin signaling pathway involving both ARF7 and ARF19 might play a major role in driving CCE in fugu5–1.

thumbnail
Fig 4. arf7–1 arf19–1 Mutations Suppressed Compensated Cell Enlargement in the fugu5 Background.

(A) Effects of the arf7–1 and arf19–1 mutations on morphological and cellular phenotypes. Photographs show the gross morphology of the WT, fugu5–1, arf7–1 arf19–1, and arf7–1 arf19–1 fugu5–1 (arf7-1, 19-1 fugu5-1) cotyledons at 25 DAS. White bars = 1 mm. DAS, days after sowing. (B) Quantification of cotyledon cellular phenotypes. Cotyledons of the above genotypes were dissected from plants grown on rockwool for 25 DAS, fixed in FAA, and cleared for microscopic observations. Data represent cotyledon cell numbers, cell areas and cotyledon areas. Data are means ± SD (n = 8 cotyledons). Letters indicate groups (Tukey’s HSD test at P < 0.03; R version 3.5.1).

https://doi.org/10.1371/journal.pgen.1009674.g004

High endogenous concentration of IAA drives CCE in fugu5

Our results strongly suggest that IAA was the key molecule driving Class II CCE in fugu5. In addition, previous kinematic analyses had revealed that cell expansion peaks in fugu5–1 cotyledons around 15 days after sowing (DAS) [3]. To relate both findings, IAA concentration was quantified by a UPLC-Q-TOF-MS system using cotyledons dissected from seedlings at 10, 15 and 20 DAS. We found that the IAA concentration was 1.7-fold higher in fugu5–1 than in the WT at 10 DAS (Fig 5A). At 15 and 20 DAS, IAA concentration was not significantly different among fugu5–1 and the WT anymore (Fig 5A). Next, we quantified IAA in a time-course manner in dry seeds, or in young seedling shoots collected at 2 days after induction of seed germination (DAI), and at 4, 6, 8, and 10 DAS. There was no significant difference in IAA concentration between the WT and fugu5–1 in the dry seeds and seedlings collected at 2 DAI, 4 and 6 DAS (Fig 5B). Surprisingly, at 8 DAS, fugu5–1 seedlings contained 2.2-fold more IAA that the WT (Fig 5B).

thumbnail
Fig 5. Endogenous Concentration of IAA in fugu5–1 Shoots at Several Developmental Stages.

(A) Quantification of endogenous IAA at different developmental stages. Cotyledons of the WT and fugu5–1 were collected at 10, 15, and 20 DAS. Data are means ± SD (n = 3 independent experiments). Single asterisk indicates that fugu5–1 was statistically significantly different compared to the WT (Student’s t-test at P < 0.05). NS, not significant. DAS, days after sowing. (B) Time-course quantification of endogenous IAA in the WT and fugu5–1. Samples consisted of dry seeds or whole seedling shoots collected at 2 DAI, or 4, 6, 8 and 10 DAS. Data are means ± SD (n ≥ 3 independent experiments). Single asterisk indicates that fugu5–1 was statistically significantly different compared to the WT (Student’s t-test at P < 0.05). DAI, days after induction of seed germination.

https://doi.org/10.1371/journal.pgen.1009674.g005

To validate the above results, IAA concentration was further quantified in higher-order mutant combinations, namely ibr1,3,10–1, ibr1,3,10–1 fugu5–1, and ibr1,3,10–1 pen3-4 fugu5–1, in which CCE is suppressed (Figs 1, S7A and S7B). We found that IAA levels in all the above higher-order mutant lines were comparable to the WT (S8 Fig). This suggests that the accumulation of IAA in cotyledons which occurs in fugu5–1 at 8–10 DAS (Fig 5A and 5B) is a key transition point to drive CCE in fugu5 cotyledons.

IBA-to-IAA conversion is the driving force for CCE in all Class II compensation-exhibiting mutants

Consistent with its suppressive effect on fugu5 CCE [22], the ech2–1 mutation completely suppressed CCE in icl–2, mls–2, pck1–2 [25] and ibr10 (Figs 2 and S5).

Next, to validate the role of IBA in Class II CCE, we constructed double mutants between the above mutants and pen3–4. Our results indicate that while the pen3–4 mutation triggered OCE in icl–2, mls–2, and pck1–2, in ibr10–1 CCE remained unaffected in the pen3–4 background (Fig 6). Taken together, these results further confirm that Class II CCE is promoted by IBA-derived IAA.

thumbnail
Fig 6. Effect of Increased IBA on Compensated Cell Enlargement in Class II Mutants.

Plants were grown on rockwool for 25 DAS; their cotyledons were dissected, fixed in FAA, and cleared for microscopic observations. Data represent cotyledon cell numbers and cotyledon cell areas. Data are means ± SD (n = 8 cotyledons). Single asterisk indicates that the mutant was statistically significantly different compared to the WT (P < 0.05 by Tukey’s HSD test; R version 3.5.1). Double asterisk indicates that single mutants were statistically significantly different compared to the corresponding double mutants in the pen3–4 background (P < 0.05 by Tukey’s HSD test; R version 3.5.1). DAS, days after sowing.

https://doi.org/10.1371/journal.pgen.1009674.g006

Vacuole acidification via the V-ATPase activity is essential for CCE in fugu5

Vacuoles are not only the largest organelles of mature plant cells, they also play pivotal roles in plant growth and development, notably through the regulation of turgor pressure. This might involve vacuole acidification through the V-ATPase, downstream of auxin signaling [45,46]. To investigate the putative contribution of V-ATPase-dependent vacuole acidification on fugu5 CCE, we analyzed the vha-a2 vha-a3 fugu5–1 triple mutant. Note that the vha-a2 vha-a3 fugu5–1 triple mutant has no H+-pumping activity across the tonoplast, resulting in nearly null ΔpH [57]. Strikingly, the vha-a2 vha-a3 [57,58], which harbors mutations in two a-subunits of the V-ATPase, completely suppressed CCE in the fugu5–1 background (Fig 7). This suggests that the H+ pumping activity via the V-ATPase complex is essential for CCE.

thumbnail
Fig 7. V-ATPase Complex Activity is Essential for Compensated Cell Enlargement in fugu5.

Effect of suppressed V-ATPase activity on CCE. Cotyledons of the WT, fugu5–1, and vha-a2 vha-a3 (vha-a2, a3) double mutants, and vha-a2 vha-a3 fugu5-1 (vha-a2, a3 fugu5-1) triple mutants were dissected from plants grown on rockwool for 25 DAS, fixed in FAA, and cleared for microscopic observations. Data represent cotyledon cell numbers and cotyledon cell areas. Data are means ± SD (n = 8 cotyledons). Letters indicate groups (Tukey’s HSD test at P < 0.05; R version 3.5.1). DAS, days after sowing.

https://doi.org/10.1371/journal.pgen.1009674.g007

Discussion

Coupling between cell proliferation and cell expansion during leaf morphogenesis

A longstanding question in biology is how organ size is determined [4,10]. How do organs know when to stop growing? Is size merely a function of the proliferative growth of individual cells, or is it rather determined by a global control system that acts at the level of the whole organ?

In the simplest scenario, leaf size would be a function of cell number and size. However accumulating evidence suggests that a severe decrease in cell number usually triggers excessive cell enlargement post-mitotically. The inverse relationship that exists between the two major determinants of leaf size, namely cell number and size, was first described by the so-called “compensation” [9]. In other words, compensation highlights the coupling between cell division and expansion at the level of the entire organ. Over the last few years, the number of compensation-exhibiting mutants has increased, suggesting that compensation might reflect a general size regulatory mechanism in plants. Here we focus on the fugu5 and report how cell expansion can compensate for lower cell division during morphogenesis, whereby IBA-to-IAA conversion plays a key role, shedding light on the mechanisms coupling these processes during organ development.

IBA-derived IAA is the driving factor of CCE in fugu5

Compensation consists of two interdependent stages: the induction stage and the response stage [16]. While the induction stage in fugu5 (i.e., the mechanism leading to the reduction in cell number) has been extensively investigated, the response stage mechanism that mediates CCE remains largely unknown. However, two studies have provided some insights into this stage. In the first study, genetic screening and phenotypic analyses revealed that CCE in fugu5 cotyledons was specifically suppressed by ech2–1 mutations. Therefore, we proposed that CCE in fugu5 is driven by IBA-derived IAA [22]. The second study validated the above hypothesis and further demonstrated that for Class II CCE to occur, the peroxisomal IBA-to-IAA conversion was a prerequisite not only in fugu5 but also in icl–2, mls–2, and pck1–2 [25]. In this study, we analyzed the contribution of the phytohormone auxin behind CCE by generating higher-order mutant lines where endogenous level of IBA was specifically up- or downregulated. We also quantified the endogenous IAA levels in fugu5, analyzed the role of auxin signaling in this process by mutating key TFs (ARF7 and ARF19), and opening to the potential implication of the vacuole in CCE.

Collectively, our results revealed that while CCE was completely suppressed in ibr1,3,10–1 fugu5–1, it was significantly enhanced in pen3–4 fugu5–1 and pdr9–2 fugu5–1, resulting in OCE (Figs 1 and 3). Thus, it became evident that IBA-to-IAA conversion is a prerequisite for CCE to occur in fugu5–1.

Interestingly, the average cell size in ibr1,3,10–1 pen3–4 fugu5–1 was similar to that of the WT (S7 Fig). The ibr1,3,10–1 pen3–4 also displayed the low auxin phenotype, similar to that of ibr1,3,10–1. This occurred because additional IBA accumulation due to the pen3–4 mutation was not properly converted into IAA due to the ibr1,3,10–1 mutations [34]. The OCE observed in pen3–4 fugu5–1 was completely suppressed in the ibr1,3,10–1 pen3–4 fugu5–1 quintuple mutant, in which the cell size was reset to the WT levels (S7B Fig). Consistently, the cell size of the different ibr pen3–4 fugu5–1 triple mutant combinations were comparable to that of fugu5–1 (S9 Fig). Therefore, CCE in fugu5–1 is either suppressed or enhanced in an IAA concentration-dependent manner. Although IBA is not recognized by the auxin TIR1/AFBs receptor [59,60], it represents a precursor for IAA biosynthesis. Therefore, by serving as a source of auxin, IBA plays a major role in IAA supply sustaining CCE during fugu5 cotyledon development.

An IAA/ARF signaling pathway transduces signals that trigger CCE in fugu5

Auxin signaling regulates various developmental processes, such as cell division, cell growth, or cell differentiation via AUX/IAA proteins and ARF TFs. Previous studies have shown that ARF7 and ARF19 promote lateral and adventitious root formation [55,56], and redundantly promote leaf cell expansion [56].

To clarify the relationship between ARF7, ARF19, IAA and CCE, we used the arf7–1 arf19–1 fugu5–1 triple mutant because, as mentioned above, ARF7 and ARF19 are strongly expressed in cotyledons of 1-week-old seedlings and are involved in cell expansion control [56]. Cellular phenotypic analyses of the cotyledons of the above triple mutants revealed that only cell size was decreased, but cell numbers were unchanged (Fig 4B), indicating that CCE in fugu5–1 was completely suppressed by the arf7–1 arf19–1 mutations (Fig 4). Altogether, these findings indicate that the CCE in fugu5–1 cotyledons was triggered by IAA via the ARF7 and ARF19 TFs related signaling pathways.

The above findings were further supported by the increase in endogenous IAA concentration in fugu5–1, which was significantly higher than the WT, particularly at 8–10 DAS (Fig 5), the stage during which post-mitotic expansion is exponentially increased (see kinematic analyses in [3]). While IAA concentrations in fugu5 were trending upward (Figs 5A and 5B and S8), the differences in IAA concentration between the WT, fugu5-1 and higher order mutant lines with suppressed CCE were not statistically significant (S8 Fig). This discrepancy in IAA concentrations could be due to slight differences in plant growth between independent experiments, and/or to the homeostasis. In fact, as mentioned above, besides its highly mobile nature, endogenous IAA levels are maintained through complex, yet specific metabolic pathways that can release/store IAA from/into its inactive forms, or synthesize IAA de novo from several independent pathways [3537,61]. Hence, although measuring such low hormone levels has been challenging, the variability inherent among independent experiments and different genetic backgrounds should be considered carefully.

Finally, vacuolar acidification mediated by V-ATPase complex has been shown to play a crucial role in fugu5 CCE (Fig 7), which corresponds with the role of turgor pressure in distended vacuoles during post-mitotic cell expansion [6264]. According to the so-called “acid growth theory”, it is widely accepted that IAA activates the plasma membrane H+-ATPase, acidifies the apoplast and activates a range of enzymes involved in cell wall loosening ([65]; for a review see [66]). Although the above theory links IAA-mediated extracellular acidification and subsequent cell wall loosening to turgor-dependent cell expansion [67], little is known about the role of the tonoplast in the IAA-mediated growth of plant cells. Importantly, increased vacuolar occupancy has been recently shown to allow cell expansion through a mechanism that requires LRXs and FER module, which senses and conveys extracellular signals to the cell to ultimately coordinate the onset of cell wall acidification and loosening with the increase in vacuolar size [68]. More recently, it has been reported that plant vacuoles significantly increase their volume (ca. two-fold) upon incubation with 1 μM IAA [45,46], linking auxin and vacuolar acidification, and providing insights into vacuole volume regulation during post-mitotic plant cell expansion.

Based on the above results, the major events involved in the compensation process in fugu5 can be summarized as shown in our working model (Fig 8). First, during germination, excess cytosolic PPi inhibits Suc synthesis de novo from TAG, causing a significant decrease in the number of cells in fugu5 cotyledons [23]. Second, the metabolic reaction of IBA-to-IAA conversion is somehow promoted, resulting in increased IAA concentration at 8–10 DAS (Fig 5A and 5B), which seems to be a crucial transition point to drive CCE in fugu5 cotyledons. Third, one can assume that high endogenous IAA triggers the TIR/AFB-dependent auxin signaling pathway through ARF7 and ARF19, and subsequently activates the vacuolar type V-ATPase leading to an increase in turgor pressure. This ultimately triggers cell size increase and CCE (Fig 8). Although the above scenario is plausible, its robustness still needs to be challenged experimentally in the future.

thumbnail
Fig 8. Proposed Model for Class II CCE.

We previously reported a working model for Class II CCE [25], showing that decreased cell numbers in cotyledons were exclusively attributed to decreased TAG-derived Suc, and that CCE might be mediated by IBA-derived IAA related mechanism. Here, we confirmed that IBA-derived IAA is essential for enhancing post-mitotic cell expansion. Based on our previous findings and this research, the scenario for Class II CCE in fugu5 can be summarized as follows. First, upon seed imbibition, excess cytosolic PPi in fugu5–1 leads to inhibition of Suc synthesis de novo from TAG, by inhibiting the gluconeogenic cytosolic enzyme UDP-glucose pyrophosphorylase (UGPase; [27]). Second, during seedling establishment, reduced Suc contents somehow promote the IBA-to-IAA conversion and lead to increased endogenous IAA concentration at 8–10 DAS, which is apparently a crucial transition point to drive CCE in fugu5 cotyledons (Fig 5). Third, one can assume that high endogenous IAA triggers the TIR/AFB-dependent auxin signaling pathway through ARF7 and ARF19, and subsequently activates the vacuolar type V-ATPase leading to an increase in turgor pressure. This ultimately triggers cell size increase and CCE. This scenario is also valid for other mutants, namely icl-2, mls-2, pck1–2, and ibr10–1, all of which exhibit a typical Class II CCE, not because of excess PPi, but due to compromised gluconeogenesis from TAG [25]. Finally, this IAA-mediated CCE is not valid for Class I [22]. Nonetheless, our findings that V-ATPase activity is critically important for CCE in Class II and Class III [20, 21], may suggest that all three CCE classes may converge at this checkpoint and use the V-ATPase complex activity as the final driving force to inflate cell size. Although the above scenario is plausible, its robustness still needs to be challenged experimentally in the future. Succ, succinate. DAS, days after sowing.

https://doi.org/10.1371/journal.pgen.1009674.g008

Ibr10 is a new Class II compensation exhibiting mutant

Our work links CCE, auxin and metabolism. Indeed, mobilization of TAG is essential for Arabidopsis seed germination and seedling establishment [26,69]. Because ibr10 etiolated seedlings were as long as the WT, IBR10 was thought not to be involved in the degradation of seed stored lipids [34,39]. However, our analyses focusing on cotyledons revealed that both ibr10 mutant alleles displayed slow FAs degradation (Fig 2D), produced less Suc de novo from TAG (Fig 2E), and exhibited CCE (Fig 2B). On the contrary, the fact that ibr1–2 and ibr3–1 have no defects in TAG degradation and Suc synthesis, may suggest that they are functionally different from ibr10 with respect to TAG mobilization (Figs 2D and S6). On the other hand, our results indicated that while CCE was not suppressed in ibr1-2 ibr3-1 fugu5-1, ibr1-2 ibr10-1 fugu5-1, and ibr3-1 ibr10-1 fugu5-1, it was totally suppressed only in ibr1,3,10 fugu5-1 quadruple mutants (Figs 1B and S7B). Altogether, the above results suggest that the loss of function of all possible ibr double mutant combinations in fugu5 background are not sufficient to suppress CCE, and point to their redundant enzymatic role in IBA-to-IAA conversion. Although it remains unclear how IBR10 contributes to FAs degradation, our findings suggest that IBR10 plays a pivotal role during stored lipid mobilization in Arabidopsis.

The icl–2, mls–2, and pck1–2 mutants, which have a metabolic disorder in the TAG to Suc pathway, displayed short etiolated seedling phenotypes [25]. Although pck1–2 has the lowest Suc contents, we previously reported that hypocotyl elongation of pck1–2 etiolated seedlings was only mildly affected compared to icl–2 and mls–2 [25]. Classically, the elongation defects in etiolated seedlings of Arabidopsis have been ascribed to a deficit in endogenous Suc during seedling establishment [26]. However, our findings confirmed that the length of etiolated seedling does not necessarily reflect Suc availability, and that hypocotyl elongation in the dark is a more complex trait than was expected.

Low sucrose contents promote the increase in endogenous IAA levels

As described above, the ech2–1 mutation completely suppressed CCE in icl–2 mls–2, pck1–2, and ibr10–1 (Fig 2B; [25]). However, CCE in Class I mutants was not suppressed by the ech2–1 mutation [22]. These findings suggest that IBA-to-IAA conversion is involved explicitly in driving Class II CCE. Each of the Class II CCE mutants has a metabolic disorder in the TAG-to-Suc pathway during the early stages of post-germinative development. Therefore, the low-sugar-state in seedlings somehow resulted in metabolic changes in the IBA-related metabolism. In brief, Class II compensation is fully controlled by metabolic networks. Indeed, Suc produced by photosynthesis is converted into phosphoenolpyruvic acid (PEP), which in Arabidopsis, is subsequently converted into tyrosine, phenylalanine, and tryptophan by the shikimic acid pathway [70]. On the other hand, IAA is a metabolite synthesized from the aromatic amino acid tryptophan [71]. This suggests that the gluconeogenesis pathway and the IAA biosynthesis pathway are tightly related. To this end, it would be interesting to revisit the shade avoidance response mechanism based on the above findings because the low-sugar-state under a low-light regime might trigger IBA-to-IAA conversion and concomitant cell elongation.

Living organisms produce thousands of metabolites at varying concentrations and distributions, which underlies the complex nature of metabolic networks. In this study, several key metabolites were identified to play a role in cell/cotyledon size control. Our findings provide the basis for further research to elucidate the mechanisms of organ-size regulation in multicellular organisms. More specifically, while organ-size regulation has been interpreted by specific sets of key TFs over the last decades, applying metabolomics might be a useful approach in efforts aiming to identify metabolites playing key roles in organ-size control in other kingdoms.

Methods

Plant materials and growth conditions

The WT plant used in this study was Columbia-0 (Col-0), and all of the other mutants were based on the Col-0 background. Seeds of ibr1–2, ibr3–1, ibr10–1, pen3–4, and ech2–1 were a gift from Professor Bonnie Bartel (Rice University). icl–2, mls–2, and pck1–2 mutants seeds were a gift from Professor Ian Graham (The University of York).

Seeds were sown on rockwool (Nippon Rockwool Corporation), watered daily with 0.5 g L-1 Hyponex solution and grown under a 16/8 h light/dark cycle with white light from fluorescent lamps at approximately 50 μmol m-2 s-1 at 22°C.

Sterilized seeds were sown on MS medium (Wako Pure Chemical) or on MS medium with 2% (w/v) Suc where indicated, and solidified using 0.2–0.4% (w/v) gellan gum to determine the effects of medium composition on plant phenotype. After sowing the seeds, the MS plates were stored at 4°C in the dark for 3 d. After cold treatment, the seedlings were grown either in the light (for the cellular phenotype analyses) or in the dark (for Suc or TAG quantification) for the designated periods of time.

Mutant genotyping and higher-order mutant generation

fugu5–1 was characterized as the loss-of-function mutant of the vacuolar type H+-PPase [23]. fugu5–1, icl–2, mls–2, pck1–2, ech2–1, ibr1–2, ibr3–1, ibr10–1, and pen3–4 were genotyped as described previously (S1 Table; [25,2830,33]). ibr10–2 and pdr9–2 were obtained from the Arabidopsis Biological Resource Center (ABRC/The Ohio State University) and genotyped using specific primer sets (S1 Table). fugu5–1 plants were crossed with other mutants to obtain double, triple, quadruple or quintuple mutants, and the genotypes of the higher-order mutants were checked in the F2 plants using a combination of PCR-based markers.

Microscopy

Photographs of the gross plant phenotypes at 10 DAS were taken with a stereoscopic microscope (M165FC; Leica Microsystems) connected to a CCD camera (DFC300FX; Leica Microsystems), and those at 25 DAS were taken with a digital camera (D5000 Nikkor lens AF-S Micro Nikkor 60 mm; Nikon).

Cotyledons were fixed in formalin/acetic acid/alcohol and cleared with chloral solution (200 g chloral hydrate, 20 g glycerol, and 50 mL deionized water) to measure cotyledon areas and cell numbers, as described previously [72]. Whole cotyledons were observed using a stereoscopic microscope equipped with a CCD camera. Cotyledon palisade tissue cells were observed and photographed under a light microscope (DM-2500; Leica Microsystems) equipped with Nomarski differential interference contrast optics and a CCD camera. Cell size was determined as the mean palisade cell area, detected from a paravermal view, as described previously [23]. The cotyledon aspect ratio was calculated as the ratio of the cotyledon blade length to width.

Quantitative analyses of total TAGs

The quantities of seed lipid reserves in dry seeds and in 1-, 2-, 3-, and 4-day-old etiolated seedlings were measured by determining the total TAG using the Triglyceride E-Test assay kit (Wako Pure Chemicals). Either 20 dry seeds or 20 seedlings were homogenized with a mortar and pestle in 100 μL sterile distilled water. The homogenates were mixed with 0.75 mL reaction buffer provided in the kit, as described previously [23,73]. The sample TAG concentration was determined according to the manufacturer’s protocol. The length of the etiolated seedlings was determined as described previously [23].

Quantification of sucrose

Etiolated seedlings at 3 DAI were collected in one tube in liquid nitrogen and were freeze-dried. Then the samples were extracted using a bead shocker in a 2 mL tube with 5 mm zirconia beads and 80% MeOH for 2 min at 1,000 rpm (Shake Master NEO, Biomedical Sciences). The extracted solutions were centrifuged at 104 g for 1 min, and 100 μL centrifuged solution and 10 μL 2 mg/L [UL-13C6glc]-Suc (omicron Biochemicals, USA) were dispensed in a 1.5 mL tube. After drying the solution using a centrifuge evaporator (Speed vac, Thermo), 100 μL Mox regenet (2% methoxyamine in pyridine, Thermo) was added to the 1.5 mL tube, and the metabolites were methoxylated at 30°C and 1,200 rpm for approximately 6 h using a thermo shaker (BSR-MSC100, Biomedical Sciences). After methoxylation, 50 μL 1% v/v of trimetylchlorosilane (TMS, Thermo) was added to the 1.5 mL tube. For TMS derivatization, the mixture was incubated for 30 min at 1,200 rpm at 37°C as mentioned above. Finally, 50 μL the derivatized samples were dispensed in vials for GC-QqQ-MS analyses (AOC-5000 Plus with GCMS-TQ8040, Shimadzu Corporation). Suc and [UL-13C6glc]-Suc were detected in the multiple reaction monitoring (MRM) mode. MRM transitions were Suc-8TMS, 361.0 > 73.0; [UL-13C6glc]-Suc-8TMS, 367.0 >174.0 (parent > daughter). The GC-QqQ-MS analyses were carried out as follows: GC column, BPX-5 0.25 mm I.D. df = 0.25 μm × 30 m (SGE); insert, split insert with wool (RESTEK); temperature of GC vaporization chamber, 250°C; gradient condition of column oven, 60°C for 2 min at the start and 15°C/min to 330 for 3 min of hold; injection mode, split (1:30); carrier gas control, 39 cm2/s; interface temperature of MS, 280°C; ion source temperature of MS, 200°C; loop time of data collection, 0.25 second. Raw data collection and calculation of the GC-MS peak area values were carried out using GCMS software solution (Shimadzu Corp., Kyoto, Japan). Suc contents were quantified per etiolated seedling using the internal standard method.

Quantification of IAA

Endogenous IAA was extracted with 80% (v/v) acetonitrile containing 1% (v/v) acetic acid from whole WT and mutant seedlings after freeze-drying. IAA was purified using a solid-phase extraction column (Oasis WAX, Waters Corporation, Milford, MA, USA) and the IAA levels were determined using a quadrupole/time-of-flight tandem mass spectrometer (Triple TOF 5600, SCIEX, Concord, Canada) coupled with the Nexera UPLC system (Shimadzu Corp., Kyoto, Japan). Conditions for purification, LC and MS/MS analyses were previously described [74].

Statistical analyses

In this study, the statistical analyses included the Student’s t-test, Dennett’s test, or Tukey’s honestly significant difference (HSD) test (R ver. 3.5.1; [75]). Multiple comparisons were performed using the multcomp package [76]. A bee swarm plot was created using the beeswarm package [77].

Supporting information

S1 Fig. Effect of Altered IBA metabolism or Transport on Compensated Cell Enlargement in fugu5–1.

(A) Seedling gross phenotypes (left panels) and corresponding images of palisade tissue cells (right panels) of plants grown on rockwool. Seedling photographs were taken at 10 DAS. Bar = 2 mm. Palisade tissue cell images were taken at 25 DAS. Bar = 50 μm. (B) Data show cell numbers, cell areas, and cotyledon areas of the indicated genotypes. Cotyledons of each mutant were dissected from plants grown on rockwool for 25 DAS, fixed in FAA, and cleared for microscopic observations. Data are means ± SD (n = 8 cotyledons). Single asterisk indicates that the mutant was statistically significantly different compared to the WT (Student’s t-test at P < 0.001, Bonferroni correction). Double asterisk indicates that the double mutant has a statistically significant difference compared to fugu5–1 (Student’s t-test at P < 0.001, Bonferroni correction). DAS, days after sowing.

https://doi.org/10.1371/journal.pgen.1009674.s001

(TIFF)

S2 Fig. Exogenous Supply of Sucrose Cancelled Compensation.

Data represent cotyledon cell numbers, cotyledon cell areas and cotyledon areas. Cotyledons of each genotype were dissected from plants grown on MS medium for 25 DAS with 2% Suc, fixed in FAA, and cleared for microscopic observations. Data are means ± SD (n = 8 cotyledons). Single asterisk indicates that the mutant was statistically significantly different compared to the WT (Dunnett’s test at P < 0.01; R version 3.5.1). DAS, days after sowing.

https://doi.org/10.1371/journal.pgen.1009674.s002

(TIFF)

S3 Fig. Gross Phenotype of Vegetative and Reproductive Stages.

Plant gross phenotypes at the vegetative stage (left panels) and reproductive stage (right panels) of the indicated genotypes. Photographs were taken at 21 DAS (left panels). Bar = 1 cm; or at 37 DAS (right panels). Bar = 5 cm. DAS, days after sowing.

https://doi.org/10.1371/journal.pgen.1009674.s003

(TIFF)

S4 Fig. Effect of ibr Mutations on Cotyledon Cellular Phenotypes.

(A) Plant gross phenotype taken at 10 DAS. Bar = 2 mm (upper panels). Bar = 5 mm (lower panels). (B) Cotyledon aspect-ratio in WT and ibr mutants. Data in the beeswarm plots indicate the value of aspect-ratio (n ≦ 9 cotyledons). (C) Data represent cotyledon cell numbers, cell areas and cotyledon area of mutants with defects in IBA-to-IAA conversion. Data are means ±SD (n = 8 cotyledons). Single asterisk indicates that the mutant was statistically significantly different compared to the WT (Dunnett’s test at P < 0.01; R version 3.5.1). DAS, days after sowing.

https://doi.org/10.1371/journal.pgen.1009674.s004

(TIFF)

S5 Fig. Compensated Cell Enlargement in the ibr10–2 Mutant is Suppressed by ech2–1.

(A) Cell numbers, cell areas, and cotyledons areas, respectively, of plants grown on rockwool for 25 DAS. Data are means ± SD (n = 8 cotyledons). Single asterisk indicates that mutants were statistically significantly different compared to the WT (Dunnet’s test at P < 0.05; R version 3.5.1). (B) Cell numbers, cell areas, and cotyledons areas, respectively, of plants grown on MS medium supplied with 2% Suc for 25 DAS. Data are means ± SD (n = 8 cotyledons). Single asterisk indicates that mutants were statistically significantly different compared to the WT (Dunnet’s test at P < 0.01; R version 3.5.1). DAS, days after sowing.

https://doi.org/10.1371/journal.pgen.1009674.s005

(TIFF)

S6 Fig. Suc Contents in Etiolated Seedlings of ibr1–2 and ibr3–1.

Suc content quantification using the internal standard methods of GC-QqQ-MS for 100 etiolated seedlings after growth on MS medium without Suc for three days after induction of seed germination (DAI). Data are means ± SD (n = six independent experiments; three independent measurements per experiment). Single asterisk indicates that the mutant was statistically significantly different compared to the WT (P < 0.05 by Dunnett’s test; R version 3.5.1).

https://doi.org/10.1371/journal.pgen.1009674.s006

(TIFF)

S7 Fig. Cotyledon Cellular Phenotypes in Quintuple Mutants.

(A) Microscopic images of palisade tissue taken at 25 DAS. Bars = 100 μm. (B) Cotyledon cell numbers, cotyledon cell areas and cotyledon areas. Cotyledons from each genotype were dissected from plants grown on rockwool for 25 DAS, fixed in FAA, and cleared for microscopic observations. Data are means ± SD (n = 8 cotyledons). Single asterisk indicates that the mutant was statistically significantly different compared to the WT (Dunnett’s test at P < 0.05; R version 3.5.1). DAS, days after sowing.

https://doi.org/10.1371/journal.pgen.1009674.s007

(TIFF)

S8 Fig. Endogenous Concentration of IAA in fugu5–1 and mutant lines with suppressed CCE.

Quantification of endogenous IAA in mutant lines with suppressed CCE. Cotyledons of the indicated lines were collected at 10 DAS. Data are means ± SD (n = 3 independent experiments). NS, not significant (P < 0.05 by Dunnett’s test; R version 3.5.1). DAS, days after sowing.

https://doi.org/10.1371/journal.pgen.1009674.s008

(TIFF)

S9 Fig. Effect of Failure of IBA-to-IAA Conversion and IBA Efflux on Compensated Cell Enlargement.

(A) Cotyledon cell numbers, cotyledon cell areas and cotyledon areas in double mutants with defects in IBA-to-IAA conversion and extracellular export of IBA. Data are means ± SD (n = 8 cotyledons). Single asterisk indicates that the mutant was statistically significantly different compared to the WT (Student’s t- test at P < 0.05, Bonferroni corrected). (B) Cotyledon cell numbers, cotyledon cell areas and cotyledon areas in the fugu5–1 background double mutants involved in IBA-to-IAA conversion and extracellular export of IBA. Data are means ± SD (n = 8 cotyledons). Single asterisk indicates that the mutant was significantly different compared to the WT (Student’s t- test at P < 0.05, Bonferroni corrected).

https://doi.org/10.1371/journal.pgen.1009674.s009

(TIFF)

S1 Table. List of Oligonucleotide Primers used in this Study.

https://doi.org/10.1371/journal.pgen.1009674.s010

(TIFF)

Acknowledgments

We thank Prof. Olivier Hamant (ENS de Lyon) for his critical reading of the manuscript. We also thank Prof. Ian Graham (The University of York) and Dr. Alison Gilday (The University of York) for providing icl–2, mls–2 and pck1–2 mutant seeds, and Prof. Bonnie Bartel (Rice University) for providing ibr1-2, ibr3-1, ibr10-1, pen3-4 and ech2-1 seeds.

References

  1. 1. Tsukaya H. Leaf Development. Arabidopsis Book. 2013; 11: e0163. pmid:23864837
  2. 2. Donnelly OM, bonetta D, Tsukaya H, dangler RE, dangler NG. Cell cycling and cell enlargement in developing leaves of Arabidopsis. Dev Biol. 1999; 215: 407–419. pmid:10545247
  3. 3. Ferjani A, Horiguchi G, Yano S, Tsukaya H. Analysis of leaf development in fugu mutants of Arabidopsis reveals three compensation modes that modulate cell expansion in determinate organs. Plant Physiol. 2007; 144: 988–999. pmid:17468216
  4. 4. Conlon I, Raff M. Size control in animal development. Cell. 1999; 96: 235–244. pmid:9988218
  5. 5. Edgar BA. How flies get their size: genetics meets physiology. Nat Rev Genet. 2006; 12: 907–916. pmid:17139322
  6. 6. Lloyd AC. The regulation of cell size. Cell. 2013; 154: 1194–1205. pmid:24034244
  7. 7. Roeder AHK, Chickarmane V, Cunha A, Obara B, Manjunath BS, Meyerowitz EM. Variability in the control of cell division underlies sepal epidermal patterning in Arabidopsis thaliana. PLoS Biol. 2010; 8: e1000367. pmid:20485493
  8. 8. Roeder AHK, Cunha A, Ohno CK, Meyerowitz EM. Cell cycle regulates cell type in the Arabidopsis sepal. Development. 2012; 139: 4416–4427. pmid:23095885
  9. 9. Tsukaya H. Interpretation of mutants in leaf morphology: genetic evidence for a compensatory system in leaf morphogenesis that provides a new link between cell and organismal theories. Int Rev Cytol. 2002; 217: 1–39. pmid:12019561
  10. 10. Tsukaya H. Controlling size in multicellular organs: focus on the leaf. PLoS Biol. 2008; 6: e174. pmid:18630989
  11. 11. Beemster GT, Fiorani F, Inzé D. Cell cycle: the key to plant growth control? Trends Plant Sci. 2003; 8: 154–158. pmid:12711226
  12. 12. Ferjani A, Yano S, Horiguchi G, Tsukaya H. Control of leaf morphogenesis by long- and short-distance signaling: Differentiation of leaves into sun or shade types and compensated cell enlargement. In Plant Cell Monographs: Plant Growth Signaling, Bögre L., Beemster G.T.S., eds (Berlin, Heidelberg, Germany: Springer Berlin Heidelberg); 2008. pp. 47–62.
  13. 13. Ferjani A, Horiguchi G, Tsukaya H. Organ size control in Arabidopsis: Insights from compensation studies. Plant Morphol. 2010; 22: 65–71.
  14. 14. Horiguchi G, Ferjani A, Fujikura U, Tsukaya H. Coordination of cell proliferation and cell expansion in the control of leaf size in Arabidopsis thaliana. J Plant Res. 2006a; 119: 37–42. pmid:16284709
  15. 15. Horiguchi G, Tsukaya H. Organ size regulation in plants: insights from compensation. Front Plant Sci. 2011; 2: 24. pmid:22639585
  16. 16. Fujikura U, Horiguchi G, Ponce MR, Micol JL, Tsukaya H. Coordination of cell proliferation and cell expansion mediated by ribosome-related processes in the leaves of Arabidopsis thaliana. Plant J. 2009; 59: 499–508. pmid:19392710
  17. 17. Hisanaga T, Kawade K, Tsukaya H. Compensation: a key to clarifying the organ-level regulation of lateral organ size in plants. J Exp Bot. 2015; 66: 1055–1063. pmid:25635111
  18. 18. Horiguchi G, Kim GT, Tsukaya H. The transcription factor AtGRF5 and the transcription coactivator AN3 regulate cell proliferation in leaf primordia of Arabidopsis thaliana. Plant J. 2005; 43: 68–78. pmid:15960617
  19. 19. Horiguchi G, Fujikura U, Ferjani A, Ishikawa N, Tsukaya H. Large-scale histological analysis of leaf mutants using two simple leaf observation methods: identification of novel genetic pathways governing the size and shape of leaves. Plant J. 2006b; 48: 638–644. pmid:17076802
  20. 20. Ferjani A, Ishikawa K, Asaoka M, Ishida M, Horiguchi G, Maeshima M, et al. Enhanced cell expansion in a KRP2 overexpressor is mediated by increased V-ATPase activity. Plant Cell Physiol. 2013a; 54: 1989–1998. pmid:24068796
  21. 21. Ferjani A, Ishikawa K, Asaoka M, Ishida M, Horiguchi G, Maeshima M, et al. Class III compensation, represented by KRP2 overexpression, depends on V-ATPase activity in proliferative cells. Plant Signal Behav. 2013b; 8: pii: e27204. pmid:24305734
  22. 22. Katano M, Takahashi K, Hirano T, Kazama Y, Abe T, Tsukaya H, et al. Suppressor screen and phenotype analyses revealed an emerging role of the monofunctional peroxisomal enoyl-CoA hydratase 2 in compensated cell enlargement. Front Plant Sci. 2016; 7: 132. pmid:26925070
  23. 23. Ferjani A, Segami S, Horiguchi G, Muto Y, Maeshima M, Tsukaya H. Keep an eye on PPi: the vacuolar-type H+-pyrophosphatase regulates postgerminative development in Arabidopsis. Plant Cell. 2011; 23: 2895–2908. pmid:21862707
  24. 24. Asaoka M, Segami S, Ferjani A, Maeshima M. Contribution of PPi-hydrolyzing function of vacuolar H+-pyrophosphatase in vegetative growth of Arabidopsis: evidenced by expression of uncoupling mutated enzymes. Front Plant Sci. 2016; 7: 415. pmid:27066051
  25. 25. Takahashi K, Morimoto R, Tabeta H, Asaoka M, Ishida M, Maeshima M, et al. Compensated cell enlargement in fugu5 is specifically triggered by lowered sucrose production from seed storage lipids. Plant Cell Physiol. 2017; 58: 668–678. pmid:28201798
  26. 26. Graham IA. Seed storage oil mobilization. Annu Rev Plant Biol. 2008; 59: 115–142. pmid:18444898
  27. 27. Ferjani A, Kawade K, Asaoka M, Oikawa A, Okada T, Mochizuki A, et al. Pyrophosphate inhibits gluconeogenesis by restricting UDP-glucose formation in vivo. Sci Rep. 2018; 8: 14696. pmid:30279540
  28. 28. Eastmond PJ, Germain V, Lange PR, Bryce JH, Smith SM, Graham IA. Postgerminative growth and lipid catabolism in oilseeds lacking the glyoxylate cycle. Proc Natl Acad Sci USA. 2000; 97: 5669–5674. pmid:10805817
  29. 29. Cornah JE, Germain V, Ward JL, Beale MH, Smith SM. Lipid utilization, gluconeogenesis, and seedling growth in Arabidopsis mutants lacking the glyoxylate cycle enzyme malate synthase. J Biol Chem. 2004; 279: 42916–42923. pmid:15272001
  30. 30. Penfield S, Rylott EL, Gilday AD, Graham S, Larson TR, Graham IA. Reserve mobilization in the Arabidopsis endosperm fuels hypocotyl elongation in the dark, is independent of abscisic acid, and requires PHOSPHOENOLPYRUVATE CARBOXYKINASE1. Plant Cell. 2004; 16: 2705–2718. pmid:15367715
  31. 31. Li Y, Liu Y, Zolman BK. Metabolic alterations in the enoyl-coA hydratase 2 mutant disrupt peroxisomal pathways in seedlings. Plant Physiol. 2019; 180: 1860–1876. pmid:31138624
  32. 32. Goepfert S, Hiltunen JK, Poirier Y. Identification and functional characterization of a monofunctional peroxisomal enoyl-coA hydratase 2 that participates in the degradation of even cis-unsaturated fatty acids in Arabidopsis thaliana. J Biol Chem. 2006; 281: 35894–35903. pmid:16982622
  33. 33. Strader LC, Wheeler DL, Christensen SE, Berens JC, Cohen JD, Rampey RA, et al. Multiple facets of Arabidopsis seedling development require indole-3-butyric acid-derived auxin. Plant Cell. 2011; 23: 984–999. pmid:21406624
  34. 34. Strader LC, Culler AH, Cohen JD, Bartel B. Conversion of endogenous indole-3-butyric acid to indole-3-acetic acid drives cell expansion in Arabidopsis seedlings. Plant Physiol. 2010; 153: 1577–1586. pmid:20562230
  35. 35. Spiess GM, Hausman A, Yu P, Cohen JD, Rampey RA, Zolman BK. Auxin input pathway disruptions are mitigated by changes in auxin biosynthetic gene expression in Arabidopsis. Plant Physiol. 2014; 165: 1092–1104. pmid:24891612
  36. 36. Korasick DA, Enders TA, Strader LC. Auxin biosynthesis and storage forms. J Exp Bot. 2013; 64: 2541–2555. pmid:23580748
  37. 37. Zhao Y. Auxin Biosynthesis. Arabidopsis Book. 2014; 12: e0173. pmid:24955076
  38. 38. Blommaert KLJ. Growth- and inhibiting-substances in relation to the rest period of the potato tuber. Nature. 1954; 174: 970–972. pmid:13214055
  39. 39. Zolman BK, Martinez N, Millius A, Adham AR, Bartel B. Identification and characterization of Arabidopsis indole-3-butyric acid response mutants defective in novel peroxisomal enzymes. Genetics. 2008; 180: 237–251. pmid:18725356
  40. 40. Zolman BK, Nyberg M, Bartel B. IBR3, a novel peroxisomal acyl-coA dehydrogenase-like protein required for indole-3-butyric acid response. Plant Mol Biol. 2007; 64: 59–72. pmid:17277896
  41. 41. Frick EM, Strader LC. Roles for IBA-derived auxin in plant development. J Exp Bot. 2017; erx209. pmid:28992091
  42. 42. Strader LC, Bartel B. The Arabidopsis PLEIOTROPIC DRUG RESISTANCE8/ABCG36 ATP binding cassette transporter modulates sensitivity to the auxin precursor indole-3-butyric acid. Plant Cell. 2009; 21: 1992–2007. pmid:19648296
  43. 43. Ruzicka K, Strader LC, Bailly A, Yang H, Blakeslee J, Langowski L, et al. Arabidopsis PIS1 encodes the ABCG37 transporter of auxinic compounds including the auxin precursor indole-3-butyric acid. Proc Natl Acad Sci USA. 2010; 107: 10749–10753. pmid:20498067
  44. 44. Aryal B, Huynh J, Schneuwly J, Siffert A, Liu J, Alejandro S, et al. ABCG36/PEN3/PDR8 is an exporter of the auxin precursor, indole-3-butyric acid, and involved in auxin-controlled development. Front Plant Sci. 2019; 10: 899. pmid:31354769
  45. 45. Burdach Z, Siemieniuk A, Trela Z, Kurtyka R, Karcz W. Role of auxin (IAA) in the regulation of slow vacuolar (SV) channels and the volume of red beet taproot vacuoles. BMC Plant Biol. 2018; 18: 102. pmid:29866031
  46. 46. Burdach Z, Siemieniuk A, Karcz W. Effect of auxin (IAA) on the fast vacuolar (FV) channels in red beet (Beta vulgaris L.) taproot vacuoles. Int J Mol Sci. 2020; 21: 4876. pmid:32664260
  47. 47. Asaoka M, Inoue SI., Gunji S, Kinoshita T, Maeshima M, Tsukaya H, et al. Excess pyrophosphate within guard cells delays stomatal closure. Plant Cell Physiol. 2019; 60: 875–887. pmid:30649470
  48. 48. Strader LC, Bartel B. Transport and metabolism of the endogenous auxin precursor indole-3-butyric acid. Mol Plant. 2011; 4: 477–486. pmid:21357648
  49. 49. Michniewicz M, Powers SK, Strader LC. “IBA transport by PDR proteins” in plant ABC transporters. ed. Geisler M. (Cham: Springer International Publishing); 2014. pp. 313–331.
  50. 50. Damodaran S, Strader LC. Indole 3-butyric acid metabolism and transport in Arabidopsis thaliana. Front Plant Sci. 2019; 10: 851. pmid:31333697
  51. 51. Abel S, Nguyen MD, Theologis A. The PS-IAA4/5-like family of early auxin-inducible mRNAs in Arabidopsis thaliana. J Mol Biol. 1995; 251: 533–549. pmid:7658471
  52. 52. Reed JW. Roles and activities of Aux/IAA proteins in Arabidopsis. Trends Plant Sci. 2001; 6: 420–425. pmid:11544131
  53. 53. Liscum E, Reed JW. Genetics of Aux/IAA and ARF action in plant growth and development. Plant Mol Biol. 2002; 49: 387–400. pmid:12036262
  54. 54. Remington DL, Vision TJ, Guilfoyle TJ, Reed JW. Contrasting modes of diversification in the Aux/IAA and ARF gene families. Plant Physiol. 2004; 135: 1738–1752. pmid:15247399
  55. 55. Okushima Y, Overvoorde PJ, Arima K, Alonso JM, Chan A, Chang C, et al. Functional genomic analysis of the AUXIN RESPONSE FACTOR gene family members in Arabidopsis thaliana: unique and overlapping functions of ARF7 and ARF19. Plant Cell. 2005; 17: 444–463. pmid:15659631
  56. 56. Wilmoth JC, Wang S, Tiwari SB, Joshi AD, Hagen G, Guilfoyle TJ, et al. NPH4/ARF7 and ARF19 promote leaf expansion and auxin-induced lateral root formation. Plant J. 2005; 43: 118–130. pmid:15960621
  57. 57. Kriegel A, Andrés Z, Medzihradszky A, Krüger F, Scholl S, Delang S, et al. Job sharing in the endomembrane system: vacuolar acidification requires the combined activity of V-ATPase and V-PPase. Plant Cell. 2015; 27: 3383–3396. pmid:26589552
  58. 58. Krebs M, Beyhl D, Görlich E, Al-Rasheid KA, Marten I, Stierhof YD, et al. Arabidopsis V-ATPase activity at the tonoplast is required for efficient nutrient storage but not for sodium accumulation. Proc Natl Acad Sci USA. 2010; 107: 3251–3256. pmid:20133698
  59. 59. Lee S, Sundaram S, Armitage L, Evans JP, Hawkes T, Kepinski S, et al. Defining binding efficiency and specificity of auxins for SCF(TIR1/AFB)-Aux/IAA co-receptor complex formation. ACS Chem Biol. 2014; 9: 673–682. pmid:24313839
  60. 60. Uzunova VV, Quareshy M, Del Genio CI, Napier RM. Tomographic docking suggests the mechanism of auxin receptor TIR1 selectivity. Open Biol. 2016; 6: 160139. pmid:27805904
  61. 61. Kasahara H. Current aspects of auxin biosynthesis in plants. Biosci Biotechnol Biochem. 2016; 80: 34–42. pmid:26364770
  62. 62. Geitmann A, Ortega JK. Mechanics and modeling of plant cell growth. Trends Plant Sci. 2009; 149: 467–478.
  63. 63. Hamant O, Traas J. The mechanics behind plant development. New Phytol. 2010; 185: 369–385. pmid:20002316
  64. 64. Robinson S. Mechanical control of morphogenesis at the shoot apex. J Exp Bot. 2013; 64: 4729–4744. pmid:23926314
  65. 65. Hager A, Menzel H, Krauss A. Experiments and hypothesis concerning the primary action of auxin in elongation growth. Planta. 1971; 100: 47–75. pmid:24488103
  66. 66. Hager A. Role of the plasma membrane H+-ATPase in auxin-induced elongation growth: historical and new aspects. J Plant Res. 2003; 116: 483–505. pmid:12937999
  67. 67. Sauer M, Kleine-Vehn J. AUXIN BINDING PROTEIN1: the outsider. Plant Cell. 2011; 23: 2033–2043. pmid:21719690
  68. 68. Dünser K, Gupta S, Herger A, Feraru MI, Ringli C, Kleine-Vehn J. Extracellular matrix sensing by FERONIA and Leucine-Rich Repeat Extensins controls vacuolar expansion during cellular elongation in Arabidopsis thaliana. EMBO J. 2019; 38: e100353. pmid:30850388
  69. 69. Baker A, Graham IA, Holdsworth M, Smith SM, Theodoulou FL. Chewing the fat: Beta-oxidation in signalling and development. Trends Plant Sci. 2006; 11: 124–132. pmid:16490379
  70. 70. Tzin V, Galili G. The biosynthetic pathways for shikimate and aromatic amino acids in Arabidopsis thaliana. Arabidopsis Book. 2010; 8: e0132. pmid:22303258
  71. 71. Zhao Y. Auxin biosynthesis: a simple two-step pathway converts tryptophan to indole-3-acetic acid in plants. Mol Plant. 2012; 5: 334–338. pmid:22155950
  72. 72. Tsuge T, Tsukaya H, Uchimiya H. Two independent and polarized processes of cell elongation regulate leaf blade expansion in Arabidopsis thaliana (L.) Heynh. Development. 1996; 122: 1589–600. pmid:8625845
  73. 73. Arai Y, Hayashi M, Nishimura M. Proteomic identification and characterization of a novel peroxisomal adenine nucleotide transporter supplying ATP for fatty acid beta-oxidation in soybean and Arabidopsis. Plant Cell. 2008; 20: 3227–3240. pmid:19073762
  74. 74. Kanno Y, Oikawa T, Chiba Y, Ishimaru Y, Shimizu T, Sano N, et al. AtSWEET13 and AtSWEET14 regulate gibberellin-mediated physiological processes. Nat Commun. 2016; 7: 13245. pmid:27782132
  75. 75. R Core Team. (2018). R: A language and environment for statistical computing. R foundation for statistical computing, Vienna, Austria. 2018; Available from: https://www.R-project.org
  76. 76. Hothorn T, Bretz F, Westfall P. Simultaneous inference in general parametric models. Biom J. 2008; 50: 346–363. pmid:18481363
  77. 77. Eklund A. beeswarm: The bee swarm plot, an alternative to stripchart. 2016; Available from: https://rdrr.io/cran/beeswarm/