Skip to main content

Monitoring the growth dynamics of Tetragenococcus halophilus strains in lupine moromi fermentation using a multiplex-PCR system

Abstract

Objective

The microbiota of a seasoning sauce fermentation process is usually complex and includes multiple species and even various strains of one species. Moreover, composition and cell numbers of individual strains vary over the course of the entire fermentation. This study demonstrates the applicability of a multiplex PCR system to monitor growth dynamics of Tetragenococcus (T.) halophilus strains in order to evaluate their performance and help to select the most competitive starter strain.

Results

In a previous study we isolated T. halophilus strains from multiple lupine moromi fermentation processes and characterized them. In this study we wanted to monitor the growth dynamics of these strains in a competitive lupine moromi model fermentation process using a multiplex PCR system. Therefore, pasteurized lupine koji was inoculated with eight different T. halophilus strains, six from lupine moromi, one from an experimental buckwheat moromi fermentation process and the type strain DSM 20,339T, to create the inoculated lupine moromi pilot scale fermentation process. With the multiplex PCR system, we could detect that all strains could grow in lupine moromi but, that TMW 2.2254 and TMW 2.2264 outperformed all other strains. Both strains dominated the fermentation after three weeks with cell counts between 4 × 106 to 4 × 107 CFU/mL for TMW 2.2254 and 1 × 107 to 5 × 107 CFU/mL for TMW 2.2264. The pH dropped to value below 5 within the first 7 days, the selection of these strains might be related to their acid tolerance.

Peer Review reports

Introduction

The fermentation of vegetables, meat or fish is a common way to preserve or improve the quality of these foods [1,2,3]. Many fermented foods originating from Asia include high concentrations of sodium chloride to prevent spoilage, e.g. soy sauce [4]. Recently, a seasoning sauce made from lupine beans instead of soybeans was introduced to the market and the microbiota was characterized [5]. One of major species commonly isolated from this lupine bean (moromi) fermentation, soy sauce, Korean soy pastes, salted fish or fish sauce is T. halophilus [6,7,8,9]. This species is well known for its ability to grow and form acids in cultivations broths containing high concentrations of sodium chloride [10, 11]. Within the fermentation process, this species contributes to the flavor by the formation of organic acids and various volatile compounds [12, 13]. However, despite the use of sodium chloride, biogenic amines such as histamine can be detected in high concentrations in some fermentation processes and be traced back to the growth of some strains of T. halophilus [14, 15]. To prevent the formation of biogenic amines and standardize the fermentation process, specific strains are used as starter culture [16,17,18]. The fact that multiple strains can coexist in the same moromi fermentation at the same time, makes the development of defined single strain starter cultures difficult [19]. To monitor the strain dynamics within food fermentation process multiple systems can be used, either MALDI-TOF MS using a biotyper, RT-qPCR with strain specific primers or length polymorphism PCR [20,21,22]. However, some of these systems cannot be directly used for identifying T. halophilus strains, as the MALDI-TOF MS biotyper system does not allow strain level resolution and only a few strains encode for a CRISPR system [6, 23, 24]. Previously, a system to monitor the growth dynamics of T. halophilus within a fish fermentation process has been published using RT-qPCR, but with this system it was not possible to distinguish individual strains [25]. To distinguish between strains of T. halophilus Random Amplified Polymorphic DNA PCR (RAPD-PCR) can be used, but this technique requires gDNA isolation and therefore is not suitable for a higher throughput [26].

The strains used in this study have been genomically characterized and could up to this point only be distinguished by Random Amplified Polymorphic DNA PCR (RAPD-PCR) using our M13V primer, by their carbohydrate utilization or by whole genome comparison using ANI values (Figure S1) [6, 27]. To develop a defined single strain starter culture, a strain that can dominate and thereby control the fate of the fermentation process must be identified within a given set of strains. Therefore, we inoculated eight strains from three origins into a small sized lupine moromi and monitored the strain dynamics using this multiplex PCR system to identify every strain on a colony basis.

Main text

Methods

Strains and cultivation conditions

The strains used in this study were isolated from three different sources, lupine moromi, buckwheat moromi and salted anchovies. The lupine moromi was prepared from the beans of Lupinus angustifolius grown in Germany as described in [5]. The buckwheat moromi was prepared from buckwheat grown in Germany and prepared like the lupine moromi with the exception that 2% lupine protein powder was added. Six of the strains, namely TMW 2.2254, TMW 2.2256, TMW 2.2257, TMW 2.2263, TMW 2.2264 and TMW 2.2266 were isolated from lupine moromi. TMW 2.2260 was isolated from buckwheat moromi and DSM 20,339T was originally isolated from salted anchovies.

To prepare precultures for the experiment, MRS medium (composed of 10 g/L casein peptone, 10 g/L meat extract, 5 g/L yeast extract, 20 g/L glucose, 1 g/L Tween80, 2 g/L di-potassium hydrogen phosphate trihydrate, 5 g/L sodium acetate trihydrate, 2 g/L di-ammonium hydrogen citrate, 0.2 g/L magnesium sulfate heptahydrate, 0.05 g/L manganese sulfate monohydrate) containing 5% (w/v) sodium chloride was inoculated with single colonies of each strain in 50 mL conical tubes and incubated at 30 °C for 48 h. Then, the OD600nm was determined using a Novaspec Plus spectrometer (AK Kappenberg, Münster, Germany). Then, the correct volume of the precultures from every strain was transferred into fresh conical tubes that were required to create a 200 mL inoculation solution with an OD600nm of 0.05. The cells were harvested by centrifugation at 12,000 x g for 15 min. The harvested cells were resuspended in 10 mL of sterile saline with 13.5% (w/v) sodium chloride using a vortex (Starlab International GmbH, Hamburg, Germany). The solutions of every strain were pooled into one big sterile flask and the flask was filled up to 200 mL with sterile saline with 13.5% (w/v) sodium chloride, creating an inoculation solution with cells of every strain.

Preparation of the small sized moromi

Lupine koji was prepared by soaking toasted and cracked lupine beans in water. Afterwards, the moist beans were inoculated with an Aspergillus oryzae and fermented for two days in an industrial fermentation tank at the Purvegan factory (Ramsen, Germany). The mature koji was then heated homogeneously to 80 °C for 15 min in an oven and then packaged and sealed using a vacuum packing machine. To prepare the moromi, 20 g of pasteurized lupine koji prepared at the Purvegan factory was filled in a sterile 50 mL conical tube (Sarstedt, Nümbrecht, Germany) and mixed with the inoculation solution. This solution contained 13.5% (w/v) sodium chloride and 2.6 × 106 CFU/mL of total T. halophilus cells with every strain being in the range of 105 CFU/mL. The tubes were filled to a volume of 50 mL. The closed conical tubes were kept at 25 °C for three weeks. For sampling the conical tubes were opened once a week under sterile conditions, mixed lightly with a sterile inoculation loop and 1 mL of the liquid phase was transferred into a fresh 1.5 mL Eppendorf tube.

Growth and pH determination

Growth of the T. halophilus cells within the moromi was determined by preparing serial dilutions of a sample from every triplicate in full-strength Ringer solution (Merck Millipore, Burlington, MA, USA) containing 5% (w/v) sodium chloride and subsequently plating out on MRS-Agar with 5% (w/v) sodium chloride. The plates were incubated at 30 °C in a sealed anaerobic jar containing an AnaeroGen™ bag (Thermofisher, Waltham, MA, USA). After 3 days, plates containing 20 to 200 colonies were counted and considered for the determination of the cell count. To measure the pH of the moromi, a sample transferred into a 1.5 mL test tube was centrifuged at 7,000 x g for 6 min and then diluted to a sodium chloride concentration of 5% (w/v). The pH was then measured using a 761 Calimatic pH meter (Knick GmbH & Co. KG, Berlin, Germany).

DNA isolation and whole genome sequencing

Genomic DNA (gDNA) of TMW 2.2260 was isolated and sequenced as previously described [6]. Briefly, genomic DNA of TMW 2.2260 was isolated using the E.Z.N.A Bacterial DNA-Kit (Omega bio-tek, Norcross, Georgia, USA) according to the manufacturer`s instructions. Then, the genomic DNA was sequenced by Eurofins Genomics (Konstanz, Germany) with an Illumina HiSeq. Previously sequenced genomes were taken from NCBI Database with following assembly accession numbers TMW 2.2254 (GCF_024137165.1), TMW 2.2256 (GCF_024137145.1), TMW 2.2257 (GCF_024137175.1), TMW 2.2263 (GCF_024137125.1), TMW 2.2264 (GCF_024137075.1), TMW 2.2266 (GCF_024137065.1) and type strain DSM 20,339T (GCF_003841405.1).

Selection of strain specific regions and primer design

Strain specific regions were found using the automated process within the “Rapid identification of PCR primers for unique core sequences” (RUCS) version 1.0 program [28]. This was done by genomic comparison using the target strains as a “positive strain” and all the other strains as “negative strains”. Then, the program automatically designed primer pairs for these regions based on the standard settings with the maximum fragment size of 3 Kb. This procedure was done for all strains with the same settings. The strain specific primers used in this study can be found in Table S1. To avoid using primer that might form secondary structures, each primer was checked using the NetPrimer tool from Premier Biosoft (https://www.premierbiosoft.com/netprimer/). The Tm calculator of NEB (https://tmcalculator.neb.com/#!/main#!%2F) was used to ensure that the annealing temperature of every primer was the same and calculated with 55°C. During the development of this assay the annealing temperature was increased to 57°C to reduce unspecific bindings.

Strain identification via colony PCR

To perform colony PCR, 100 single colonies per replicate were picked using sterile toothpicks and smeared into sterile PCR tubes. Next, 25 µL of a PCR-Mix was added. The PCR-Mix consisted of 2.5 µL 10x standard buffer with MgCl2(MP Biomedicals, Eschwege, Germany), dNTPs at a final concentration of 200 µM, every primer at a final concentration of 31.25 nM (Eurofins Genomics, Ebersberg, Germany), 1.25 U of Taq polymerase (MP Biomedicals, Eschwege, Germany) and 21.25 µl of sterile 0.22 μm filtered H2O. An initial denaturation at 95 °C was done for 300 s to lyse the cells and denature the DNA. 25 amplification cycles were done in total each consisting of denaturation at 95 °C for 30 s followed by annealing at 57 °C for 30 s and elongation at 72 °C for 150 s. The final elongation was also done at 72 °C for 300 s. The PCR was carried out with a Mastercycler gradient (Eppendorf, Hamburg, Germany).

Results and discussion

Monitoring the strain compositional changes in the small sized lupine moromi

The designed primer set enabled the identification of all eight strains (Fig. 1). Every strain could be clearly identified and separated by the length of the resulting product from the colony PCR. Only when using the pure high molecular gDNA as input unspecific bands appeared. However, as this primer-set was designed to identify strains via colony PCR, these were considered as negligible.

Fig. 1
figure 1

Amplified DNA fragments using the designed primer set. M = Generuler 100 bp, (Thermofisher Scientific, Waltham, MA, USA); B = Buffer control. Strain specific bands were generated using either gDNA (most left lane of every strain) or 3 individual single colonies of the respective strain. Expected fragment sizes: TMW 2.2254 = 2552 bp; TMW 2.2256 = 596 bp; TMW 2.2257 = 822 bp; TMW 2.2260 = 1119 bp; TMW 2.2263 = 333 bp; TMW 2.2264 = 1583 bp; TMW 2.2266 = 1961 bp; DSM 20339T = 2882 bp. The picture was taken with a Gel Jet-imager system (Intas Science Imaging, Instruments GmbH, Göttingen, Germany) with the device software version 3.2.3.4089

The strain dependent dynamics and the decrease of the pH value within each moromi replicate were monitored using the developed colony PCR primer set and a pH meter over the course of three weeks (Fig. 2, A-D). As all the inoculated strains can hypothetically grow in this environment, the total cell count increased from 2.68 × 106 CFU/mL to at least 1 × 108 CFU/mL in all replicates. The calculated cell counts based on the total cell counts and the distribution within 100 colonies can be found in Table S2. After two weeks the total cell count declined in all replicates with two replicates to 5.45 and 7.1 × 107 CFU/mL and one replicate only merely decreased from 1.52 × 108 to 1.03 × 108 CFU/mL. This is most likely due to the fact that the pH was below 5 after the first week in all samples and thereby selects for strains that could survive under these conditions due to a higher acid tolerance (Fig. 2, D). After three weeks the cell counts per mL of all replicates were in the range of 107 and the strain composition was comparable across all replicates (Fig. 2). The detection limit was 105 CFU/mL for sample day 0, 14 and 21 and for sample day 7 the detection limit was at 106 CFU/mL. The multiplex primer set enabled the detection of strain dependent increases or decreases within a lupine moromi over the course of three weeks e.g., TMW 2.2257, TMW 2.2266 and DSM 20,339T performed significantly worse than TMW 2.2254 and TMW 2.2264 across all replicates (Fig. 2, A-C). This allows to further reduce the strains composition by not considering strains that are not able to outperform other strains in the desired environment. Growth and survival within the environment are important as by definition the starter strain must be able to outperform other bacteria, to ensure a safe, reliable and reproducible fermentation process. We hypothesize, that due to the low pH within the first week, some strains decrease in their cell counts below the detection limit as they are more susceptible to low pH (Fig. 2). As the arginine deiminase pathway (ADI) is one of the major pathways in T. halophilus contributing to the acid tolerance and is known to be highly upregulated in response to high sodium chloride concentrations, it would be expected that strains encoding a functional pathway are the dominate strains [29,30,31]. However, among the dominant strains only TMW 2.2264 encodes for a functional version of the ADI pathway, so this cannot be the sole reason (Fig. 2). Another reason might be the possession of at least one copy of an alpha galactosidase (α-gal), as TMW 2.2254 encodes for one α-gal and TMW 2.2264 encodes for two non-identical copies of α-gal [6]. Lupine beans are known to be rich in raffinose family oligosaccharides (RFOs), which can cause flatulencies in humans when consumed in greater quantities [32, 33]. Therefore, it might be beneficial to have a starter strain that can utilize these RFOs and thereby reducing the amount of RFOs in the final product. However, both hypotheses are not entirely proven with this study and more results are needed to underline the importance of either the α-gal or ADI in the lupine moromi.

In conclusion, we could prove that a multiplex PCR system can be used to track the strain dynamics within a small sized lupine moromi. As we designed it as a colony PCR protocol such a system can easily be adapted for a new set of strains and is applicable for high throughput. This approach then could help to easily select for starter strains for other fermented products.

Fig. 2
figure 2

Monitoring of the strain composition and the pH development in a small sized lupine moromi. A = First pilot fermentation replicate; B = Second pilot fermentation replicate; C = Third pilot fermentation replicate; D = pH values of the three replicates over the course of 21 days. Legend in A, B and C starting from the bottom of every column: () = TMW 2.2254; () = TMW 2.2256; () = TMW 2.2257; () = TMW 2.2260; () = TMW 2.2263; () = TMW 2.2264; () = TMW 2.2266; () = DSM 20339T; gray = not clearly identifiable, meant that none or multiple bands occurred and this colony was not assigned to a specific strain. Black line in A, B and C represent the respective cell count in CFU/mL of the replicate at every sampling point

Limitations

The limitation of our study is that this primer set does only work for our inhouse strains and not for any other strains. The designed approach only allows tracking of T. halophilus but can easily be adopted. Furthermore, the genome sequence for all strains must be known as it is a required input for the RUCS software. Consequently, for each new set of strains, a new primer set must be designed. Further, our approach is not necessarily new, but is an improvement to previously developed RT-qPCR system [25] which allowed tracking of a T. halophilus strain in a fish sauce fermentation process but could not discriminate between strains.

Data Availability

The published genome of TMW 2.2260 is available at the assembly accession number: within the BioProject: PRJNA640297.

Abbreviations

PCR:

Polymerase chain reaction

MALDI-TOF MS:

Matrix-assisted laser desorption/ionization

RT-qPCR:

Real-Time Quantitative Polymerase Chain Reaction

CRISPR:

Clustered Regularly Interspaced Short Palindromic Repeats

References

  1. Roca M, Incze K. Fermented sausages. Food Rev Int. 1990;6:91–118. https://doi.org/10.1080/87559129009540862.

    Article  Google Scholar 

  2. Koo OK, Lee SJ, Chung KR, Jang DJ, Yang HJ, Kwon DY. Korean traditional fermented fish products: jeotgal. J Ethn Foods. 2016;3:107–16. https://doi.org/10.1016/j.jef.2016.06.004.

    Article  Google Scholar 

  3. Jung JY, Lee SH, Jeon CO. Kimchi microflora: history, current status, and perspectives for industrial kimchi production. Appl Microbiol Biotechnol. 2014;98:2385–93. https://doi.org/10.1007/s00253-014-5513-1.

    Article  CAS  PubMed  Google Scholar 

  4. Devanthi PVP, Gkatzionis K. Soy sauce fermentation: microorganisms, aroma formation, and process modification. Food Res Int. 2019;120:364–74. https://doi.org/10.1016/j.foodres.2019.03.010.

    Article  CAS  PubMed  Google Scholar 

  5. Lülf RH, Vogel RF, Ehrmann MA. Microbiota dynamics and volatile compounds in lupine based Moromi fermented at different salt concentrations. Int J Food Microbiol. 2021;354:109316. https://doi.org/10.1016/j.ijfoodmicro.2021.109316.

    Article  CAS  PubMed  Google Scholar 

  6. Link T, Vogel RF, Ehrmann MA. The diversity among the species Tetragenococcus halophilus including new isolates from a lupine seed fermentation. BMC Microbiol. 2021;21:320. https://doi.org/10.1186/s12866-021-02381-1.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  7. Nam Y-D, Lee S-Y, Lim S-I. Microbial community analysis of korean soybean pastes by next-generation sequencing. Int J Food Microbiol. 2012;155:36–42. https://doi.org/10.1016/j.ijfoodmicro.2012.01.013.

    Article  PubMed  Google Scholar 

  8. Villar M, de Ruiz Holgado AP, Sanchez JJ, Trucco RE, Oliver G. Isolation and characterization of Pediococcus halophilus from salted anchovies (Engraulis anchoita). Appl Environ Microbiol. 1985;49:664–6. https://doi.org/10.1128/aem.49.3.664-666.1985.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  9. Fukami K, Funatsu Y, Kawasaki K, Watabe S. Improvement of fish-sauce odor by treatment with Bacteria isolated from the fish-sauce mush (Moromi) made from Frigate Mackerel. J Food Sci. 2006;69:fms45–9. https://doi.org/10.1111/j.1365-2621.2004.tb15514.x.

    Article  Google Scholar 

  10. Stevenson A, Cray JA, Williams JP, Santos R, Sahay R, Neuenkirchen N, et al. Is there a common water-activity limit for the three domains of life. ISME J. 2015;9:1333–51.

    Article  CAS  PubMed  Google Scholar 

  11. Kobayashi T, Kajiwara M, Wahyuni M, Hamada-Sato N, Imada C, Watanabe E. Effect of culture conditions on lactic acid production of Tetragenococcus species. J Appl Microbiol. 2004;96:1215–21. https://doi.org/10.1111/j.1365-2672.2004.02267.x.

    Article  CAS  PubMed  Google Scholar 

  12. Harada R, Yuzuki M, Ito K, Shiga K, Bamba T, Fukusaki E. Microbe participation in aroma production during soy sauce fermentation. J Biosci Bioeng. 2018;125:688–94. https://doi.org/10.1016/j.jbiosc.2017.12.004.

    Article  CAS  PubMed  Google Scholar 

  13. Wu C, Liu C, He G, Huang J, Zhou R. Characterization of a multiple-stress tolerance tetragenococcus halophilus and application as starter culture in chinese horsebean-chili-paste manufacture for quality improvement. Food Sci Technol Res. 2013;19:855–64.

    Article  CAS  Google Scholar 

  14. Satomi M, Furushita M, Oikawa H, Yoshikawa-Takahashi M, Yano Y. Analysis of a 30 kbp plasmid encoding histidine decarboxylase gene in Tetragenococcus halophilus isolated from fish sauce. Int J Food Microbiol. 2008;126:202–9.

    Article  CAS  PubMed  Google Scholar 

  15. Satomi M, Furushita M, Oikawa H, Yano Y. Diversity of plasmids encoding histidine decarboxylase gene in Tetragenococcus spp. isolated from japanese fish sauce. Int J Food Microbiol. 2011;148:60–5. https://doi.org/10.1016/j.ijfoodmicro.2011.04.025.

    Article  CAS  PubMed  Google Scholar 

  16. Kim KH, Lee SH, Chun BH, Jeong SE, Jeon CO. Tetragenococcus halophilus MJ4 as a starter culture for repressing biogenic amine (cadaverine) formation during saeu-jeot (salted shrimp) fermentation. Food Microbiol. 2019;82:465–73. https://doi.org/10.1016/j.fm.2019.02.017.

    Article  CAS  PubMed  Google Scholar 

  17. Udomsil N, Rodtong S, Choi YJ, Hua Y, Yongsawatdigul J. Use of Tetragenococcus halophilus as a starter culture for Flavor Improvement in Fish Sauce Fermentation. J Agric Food Chem. 2011;59:8401–8. https://doi.org/10.1021/jf201953v.

    Article  CAS  PubMed  Google Scholar 

  18. Singracha P, Niamsiri N, Visessanguan W, Lertsiri S, Assavanig A. Application of lactic acid bacteria and yeasts as starter cultures for reduced-salt soy sauce (moromi) fermentation. LWT. 2017;78:181–8. https://doi.org/10.1016/j.lwt.2016.12.019.

    Article  CAS  Google Scholar 

  19. UCHIDA K. Multiplicity in soy pediococci carbohydrate fermentation and its application for analysis of their flora. J Gen Appl Microbiol. 1982;28:215–23. https://doi.org/10.2323/jgam.28.215.

    Article  Google Scholar 

  20. Janßen D, Ehrmann MA, Vogel RF. Monitoring of assertive Lactobacillus sakei and Lactobacillus curvatus strains using an industrial ring trial experiment. J Appl Microbiol. 2019;126:545–54. https://doi.org/10.1111/jam.14144.

    Article  CAS  PubMed  Google Scholar 

  21. Miller DM, Dudley EG, Roberts RF. Technical note: development of a quantitative PCR method for monitoring strain dynamics during yogurt manufacture. J Dairy Sci. 2012;95:4868–72. https://doi.org/10.3168/jds.2012-5445.

    Article  CAS  PubMed  Google Scholar 

  22. Rogalski E, Vogel RF, Ehrmann MA. Monitoring of Lactobacillus sanfranciscensis strains during wheat and rye sourdough fermentations by CRISPR locus length polymorphism PCR. Int J Food Microbiol. 2020;316:108475. https://doi.org/10.1016/j.ijfoodmicro.2019.108475.

    Article  CAS  PubMed  Google Scholar 

  23. Kuda T, Izawa Y, Yoshida S, Koyanagi T, Takahashi H, Kimura B. Rapid identification of Tetragenococcus halophilus and Tetragenococcus muriaticus, important species in the production of salted and fermented foods, by matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS). Food Control. 2014;35:419–25. https://doi.org/10.1016/j.foodcont.2013.07.039.

    Article  CAS  Google Scholar 

  24. Matsutani M, Wakinaka T, Watanabe J, Tokuoka M, Ohnishi A. Comparative Genomics of closely related Tetragenococcus halophilus strains elucidate the diversity and microevolution of CRISPR elements. Front Microbiol. 2021;12:1–10.

    Article  Google Scholar 

  25. Udomsil N, Chen S, Rodtong S, Yongsawatdigul J. Quantification of viable bacterial starter cultures of Virgibacillus sp. and Tetragenococcus halophilus in fish sauce fermentation by real-time quantitative PCR. Food Microbiol. 2016;57:54–62. https://doi.org/10.1016/j.fm.2016.01.004.

    Article  CAS  PubMed  Google Scholar 

  26. Justé A, Lievens B, Frans I, Marsh TL, Klingeberg M, Michiels CW, et al. Genetic and physiological diversity of Tetragenococcus halophilus strains isolated from sugar- and salt-rich environments. Microbiology. 2008;154:2600–10. https://doi.org/10.1099/mic.0.2008/018168-0.

    Article  CAS  PubMed  Google Scholar 

  27. Ehrmann MA, Müller MRA, Vogel RF. Molecular analysis of sourdough reveals Lactobacillus mindensis sp. nov. Int J Syst Evol Microbiol. 2003;53:7–13.

    Article  CAS  PubMed  Google Scholar 

  28. Thomsen MCF, Hasman H, Westh H, Kaya H, Lund O. RUCS: Rapid identification of PCR primers for unique core sequences. Bioinformatics. 2017;33:3917–21.

    Article  PubMed  PubMed Central  Google Scholar 

  29. Liu L, Si L, Meng X, Luo L. Comparative transcriptomic analysis reveals novel genes and regulatory mechanisms of Tetragenococcus halophilus in response to salt stress. J Ind Microbiol Biotechnol. 2015;42:601–16.

    Article  CAS  PubMed  Google Scholar 

  30. Lin J, Liang H, Yan J, Luo L. The molecular mechanism and post-transcriptional regulation characteristic of Tetragenococcus halophilus acclimation to osmotic stress revealed by quantitative proteomics. J Proteom. 2017;168:1–14. https://doi.org/10.1016/j.jprot.2017.08.014.

    Article  CAS  Google Scholar 

  31. Lin J, Luo X, Gänzle MG, Luo L. Characterization of the two nonidentical ArgR regulators of Tetragenococcus halophilus and their regulatory effects on arginine metabolism. Appl Microbiol Biotechnol. 2020;104:8775–87. https://doi.org/10.1007/s00253-020-10868-6.

    Article  CAS  PubMed  Google Scholar 

  32. Elango D, Rajendran K, Van der Laan L, Sebastiar S, Raigne J, Thaiparambil NA, et al. Raffinose Family Oligosaccharides: friend or foe for human and Plant Health? Front Plant Sci. 2022;13:1–16.

    Article  Google Scholar 

  33. Kaczmarska KT, Chandra-Hioe MV, Zabaras D, Frank D, Arcot J. Effect of germination and fermentation on Carbohydrate Composition of australian Sweet lupin and soybean seeds and flours. J Agric Food Chem. 2017;65:10064–73. https://doi.org/10.1021/acs.jafc.7b02986.

    Article  CAS  PubMed  Google Scholar 

Download references

Acknowledgements

We thank the company Purvegan (Ramsen, Germany) for providing the pasteurized lupine koji.

Funding

The German Ministry of Food and Agriculture (BMEL) supported part of this work in project. 28-1-A4.001-17.

Open Access funding enabled and organized by Projekt DEAL.

Author information

Authors and Affiliations

Authors

Contributions

T.L. performed all laboratory experiments, performed the primer design and wrote the manuscript. M.E. supervised the laboratory experiments, participated in the discussion of the results and helped writing the manuscript. Both authors read and approved the final manuscript.

Corresponding author

Correspondence to Matthias A. Ehrmann.

Ethics declarations

Competing interests

The authors declare no competing interests.

Ethics approval and consent to participate

Not applicable.

Consent for publication

Not applicable.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Electronic supplementary material

Below is the link to the electronic supplementary material.

Supplementary Material 1

Supplementary Material 2

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Link, T., Ehrmann, M.A. Monitoring the growth dynamics of Tetragenococcus halophilus strains in lupine moromi fermentation using a multiplex-PCR system. BMC Res Notes 16, 115 (2023). https://doi.org/10.1186/s13104-023-06406-y

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s13104-023-06406-y

Keywords