전체메뉴

JMB Journal of Microbiolog and Biotechnology

QR Code QR Code

Research article


References

  1. Bowery NG, Smart TG. 2006. GABA and glycine as neurotransmitters: a brief history. Br. J. Pharmacol. 147: S109-S119.
    Pubmed PMC CrossRef
  2. Hepsomali P, Groeger JA, Nishihira J, Scholey A. 2020. Effects of oral gamma-aminobutyric acid (GABA) administration on stress and sleep in humans: a systematic review. Front. Neurosci. 14: 923.
    Pubmed PMC CrossRef
  3. Tsai JS, Lin YS, Pan BS, Chen TJ. 2006. Antihypertensive peptides and γ-aminobutyric acid from prozyme 6 facilitated lactic acid bacteria fermentation of soymilk. Process Biochem. 41: 1282-1288.
    CrossRef
  4. Boonstra E, de Kleijn R, Colzato LS, Alkemade A, Forstmann BU, Nieuwenhuis S. 2015. Neurotransmitters as food supplements: the effects of GABA on brain and behavior. Front. Psychol. 6: 1520.
    Pubmed PMC CrossRef
  5. Dhakal R, Bajpai VK, Baek KH. 2012. Production of gaba (γ-aminobutyric acid) by microorganisms: a review. Braz. J. Microbiol. 43: 1230-1241.
    Pubmed PMC CrossRef
  6. Hwang CE, Haque MA, Lee JH, Joo OS, Kim SC, Lee HY, et al. 2018. Comparison of γ-aminobutyric acid and isoflavone aglycone contents, to radical scavenging activities of high-protein soybean sprouting by lactic acid fermentation with Lactobacillus brevis. Korean J. Food Preserv. 25: 7-18.
    CrossRef
  7. Lim HS, Cha IT, Roh SW, Shin HH, Seo MJ. 2017. Enhanced production of gamma-aminobutyric acid by optimizing culture conditions of Lactobacillus brevis HYE1 isolated from Kimchi, a Korean fermented food. J. Microbiol. Biotechnol. 27: 450-459.
    Pubmed CrossRef
  8. Han SH, Hong KB, Suh HJ. 2017. Biotransformation of monosodium glutamate to gamma-aminobutyric acid by isolated strain Lactobacillus brevis L-32 for potentiation of pentobarbital-induced sleep in mice. Food Biotechnol. 31: 80-93.
    CrossRef
  9. Seo M-J, Nam Y-D, Park S-L, Lee S-Y, Yi S-H, Lim S-I. 2013. γ-Aminobutyric acid production in skim milk co-fermented with Lactobacillus brevis 877G and Lactobacillus sakei 795. Food Sci. Biotechnol. 22: 751-755.
    CrossRef
  10. Franciosi E, Carafa I, Nardin T, Schiavon S, Poznanski E, Cavazza A, et al. 2015. Biodiversity and gamma-aminobutyric acid production by lactic acid bacteria isolated from traditional alpine raw cow's milk cheeses. Biomed Res. Int. 2015: 625740.
    Pubmed PMC CrossRef
  11. Hiraga K, Ueno Y, Sukontasing S, Tanasupawat S, Oda K. 2008. Lactobacillus senmaizukei sp. nov., isolated from Japanese pickle. Int. J. Syst. Evol. Microbiol. 58: 1625-1629.
    Pubmed CrossRef
  12. Rayavarapu B, Tallapragada P, Usha M. 2021. Optimization and comparison of γ-aminobutyric acid (GABA) production by LAB in soymilk using RSM and ANN models. Beni-Suef Univ. J. Basic Appl. Sci. 10: 1-15.
    CrossRef
  13. Kim NY, Kim SK, Ra CH. 2021. Evaluation of gamma-aminobutyric acid (GABA) production by Lactobacillus plantarum using twostep fermentation. Bioproc. Biosyst. Eng. 44: 2099-2108.
    Pubmed CrossRef
  14. Li H, Qiu T, Gao D, Cao Y. 2010. Medium optimization for production of gamma-aminobutyric acid by Lactobacillus brevis NCL912. Amino Acids 38: 1439-1445.
    Pubmed CrossRef
  15. Wahid Z, Nadir N. 2013. Improvement of one factor at a time through design of experiments. World Appl. Sci. J. 21: 56-61.
  16. Binh TT, Ju WT, Jung WJ, Park RD. 2014. Optimization of γ-amino butyric acid production in a newly isolated Lactobacillus brevis. Biotechnol. Lett. 36: 93-98.
    Pubmed CrossRef
  17. Kook M-C, Seo M-J, Cheigh C-I, Pyun Y-R, Cho S-C, Park H. 2010. Enhanced production of γ-aminobutyric acid using rice bran extracts by Lactobacillus sakei B2-16. J. Microbiol. Biotechnol. 20: 763-766.
  18. Lim HS, Cha I-T, Lee H, Seo M-J. 2016. Optimization of γ-aminobutyric acid production by Enterococcus faecium JK29 isolated from a traditional fermented foods. Microbiol. Biotechnol. Lett. 44: 26-33.
    CrossRef
  19. Aydar AY. 2018. Utilization of response surface methodology in optimization of extraction of plant materials, pp. 157-169. In: Ch. 10. Statistical approaches with emphasis on design of experiments applied to chemical processes. Croatia.
    CrossRef
  20. Sun Y, Li T, Yan J, Liu J. 2010. Technology optimization for polysaccharides (POP) extraction from the fruiting bodies of Pleurotus ostreatus by Box-Behnken statistical design. Carbohydr. Polym. 80: 242-247.
    CrossRef
  21. Survase SA, Annapure US, Singhal RS. 2009. Statistical optimization for improved production of cyclosporin a in solid-state fermentation. J. Microbiol. Biotechnol. 19: 1385-1392.
    Pubmed CrossRef
  22. Kim J, Yoon YW, Kim MS, Lee MH, Kim GA, Bae K, et al. 2022. γ-Aminobutyric acid fermentation in MRS-based medium by the fructophilic Lactiplantibacillus plantarum Y7. Food Sci. Biotechnol. 31: 333-341.
    Pubmed CrossRef
  23. Weisburg WG, Barns SM, Pelletier DA, Lane DJ. 1991. 16S ribosomal DNA amplification for phylogenetic study. J. Bacteriol. 173: 697-703.
    Pubmed PMC CrossRef
  24. Pan XD, Chen FQ, Wu TX, Tang HG, Zhao ZY. 2009. The acid, bile tolerance and antimicrobial property of Lactobacillus acidophilus NIT. Food Control 20: 598-602.
    CrossRef
  25. Goldin BR, Gorbach SL, Saxelin M, Barakat S, Gualtieri L, Salminen S. 1992. Survival of Lactobacillus species (strain GG) in human gastrointestinal-tract. Digest Dis. Sci. 37: 121-128.
    Pubmed CrossRef
  26. Kanklai J, Somwong TC, Rungsirivanich P, Thongwai N. 2020. Screening of GABA-producing lactic acid bacteria from Thai fermented foods and probiotic potential of Levilactobacillus brevis F064A for GABA-fermented mulberry juice production. Microorganisms 9: 33.
    Pubmed PMC CrossRef
  27. Wu Z, Wu J, Lang F, Cai Z, Zeng X, Guo Y, et al. 2020. Characterization of the sortase A from Lactobacillus acidophilus ATCC 4356 involved in adherence to intestinal cells. Future Microbiol. 15: 485-496.
    Pubmed CrossRef
  28. Remus DM, Bongers RS, Meijerink M, Fusetti F, Poolman B, de Vos P, et al. 2013. Impact of Lactobacillus plantarum sortase on target protein sorting, gastrointestinal persistence, and host immune response modulation. J. Bacteriol. 195: 502-509.
    Pubmed PMC CrossRef
  29. Matejcekova Z, Spodniakova S, Dujmic E, Liptakova D, Valik L. 2019. Modelling growth of Lactobacillus plantarum as a function of temperature: effects of media. J. Food Nutr. Res. 58: 125-134.
  30. Barla F, Koyanagi T, Tokuda N, Matsui H, Katayama T, Kumagai H, et al. 2016. The γ-aminobutyric acid-producing ability under low pH conditions of lactic acid bacteria isolated from traditional fermented foods of Ishikawa Prefecture, Japan, with a strong ability to produce ACE-inhibitory peptides. Biotechnol. Rep (Amst). 10: 105-110.
    Pubmed PMC CrossRef
  31. Cataldo PG, Villegas JM, Savoy de Giori G, Saavedra L, Hebert EM. 2020. Enhancement of γ-aminobutyric acid (GABA) production by Lactobacillus brevis CRL 2013 based on carbohydrate fermentation. Int. J. Food Microbiol. 333: 108792.
    Pubmed CrossRef
  32. Harnentis H, Nurmiati N, Marlida Y, Adzitey F, Huda N. 2019. γ-Aminobutyric acid production by selected lactic acid bacteria isolate of an Indonesian indigenous fermented buffalo milk (dadih) origin. Vet. World 12: 1352-1357.
    Pubmed PMC CrossRef
  33. Lim HS, Cha IT, Roh SW, Shin HH, Seo MJ. 2017. Enhanced production of γ-aminobutyric acid by optimizing culture conditions of Lactobacillus brevis HYE1 isolated from Kimchi, a Korean fermented food. J. Microbiol. Biotechnol. 27: 450-459.
    Pubmed CrossRef
  34. Li YD, Wang T, Li S, Yin PP, Sheng HY, Wang TB, et al. 2022. Influence of GABA-producing yeasts on cheese quality, GABA content, and the volatilome. LWT 154: 15.
    CrossRef
  35. Mara P, Fragiadakis GS, Gkountromichos F, Alexandraki D. 2018. The pleiotropic effects of the glutamate dehydrogenase (GDH) pathway in Saccharomyces cerevisiae. Microb. Cell Fact. 17: 170.
    Pubmed PMC CrossRef
  36. Komatsuzaki N, Shima J, Kawamoto S, Momose H, Kimura T. 2005. Production of γ-aminobutyric acid (GABA) by Lactobacillus paracasei isolated from traditional fermented foods. Food Microbiol. 22: 497-504.
    CrossRef
  37. Hussin FS, Chay SY, Hussin ASM, Ibadullah WZW, Muhialdin BJ, Abd Ghani MS, et al. 2021. GABA enhancement by simple carbohydrates in yoghurt fermented using novel, self-cloned Lactobacillus plantarum Taj-Apis362 and metabolomics profiling. Sci. Rep. 11: 9417.
    Pubmed PMC CrossRef
  38. Rayavarapu B, Tallapragada P, Ms U. 2021. Optimization and comparison of γ-aminobutyric acid (GABA) production by LAB in soymilk using RSM and ANN models. Beni-Suef Univ. J. Basic Appl. Sci. 10: 14.
    CrossRef
  39. Gharehyakheh S, Rad AH, Nateghi L, Varmira K. 2019. Production of GABA-enriched honey syrup using Lactobacillus bacteria isolated from honey bee stomach. J. Food Process Preserv. 43: e14054.
    CrossRef
  40. Diez-Gutierrez L, San Vicente L, Barron LJR, Villaran MD, Chavarri M. 2020. γ-Aminobutyric acid and probiotics: Multiple health benefits and their future in the global functional food and nutraceuticals market. J. Funct. Foods 64: 103669.
    CrossRef
  41. Kim M-J, Kim K-S. 2012. Isolation and identification of γ-aminobutyric acid (GABA)-producing lactic acid bacteria from Kimchi. J. Korean Soc. Appl. Biol. Chem. 55: 777-785.
    CrossRef
  42. Li H, Cao Y. 2010. Lactic acid bacterial cell factories for γ-aminobutyric acid. Amino Acids 39: 1107-1116.
    Pubmed CrossRef
  43. Tajabadi N, Ebrahimpour A, Baradaran A, Rahim RA, Mahyudin NA, Manap MY, et al. 2015. Optimization of γ-aminobutyric acid production by Lactobacillus plantarum Taj-Apis362 from honeybees. Molecules 20: 6654-6669.
    Pubmed PMC CrossRef
  44. Kwon SY, Garcia CV, Song YC, Lee SP. 2016. GABA-enriched water dropwort produced by co-fermentation with Leuconostoc mesenteroides SM and Lactobacillus plantarum K154. LWT 73: 233-238.
    CrossRef
  45. Zareian M, Ebrahimpour A, Mohamed AKS, Saari N. 2013. Modeling of glutamic acid production by Lactobacillus plantarum MNZ. Electron J. Biotechnol. 16. http://dx.doi.org/10.2225/vol16-issue4-fulltext-10.
    CrossRef
  46. Tung YT, Lee BH, Liu CF, Pan TM. 2011. Optimization of culture condition for ACEI and GABA production by lactic acid bacteria. J. Food Sci. 76: M585-M591.
    Pubmed CrossRef
  47. Bravo JA, Forsythe P, Chew MV, Escaravage E, Savignac HM, Dinan TG, et al. 2011. Ingestion of Lactobacillus strain regulates emotional behavior and central GABA receptor expression in a mouse via the vagus nerve. Proc. Natl. Acad. Sci. USA 108: 16050-16055.
    Pubmed PMC CrossRef
  48. Janik R, Thomason LAM, Stanisz AM, Forsythe P, Bienenstock J, Stanisz GJ. 2016. Magnetic resonance spectroscopy reveals oral Lactobacillus promotion of increases in brain GABA, N-acetyl aspartate and glutamate. Neuroimage 125: 988-995.
    Pubmed CrossRef
  49. Busler J, Coello E, Liao V, Lin A, Mahon P. 2021. Cortical GABA and perceived stress in adults. Biol. Psychiatry 89: S381-S382.
    CrossRef

Related articles in JMB

More Related Articles

Article

Research article

J. Microbiol. Biotechnol. 2022; 32(6): 783-791

Published online June 28, 2022 https://doi.org/10.4014/jmb.2204.04029

Copyright © The Korean Society for Microbiology and Biotechnology.

Probiotic Properties and Optimization of Gamma-Aminobutyric Acid Production by Lactiplantibacillus plantarum FBT215

Jaegon Kim, Myung-Hyun Lee, Min-Sun Kim, Gyeong-Hwuii Kim#, and Sung-Sik Yoon*

Department of Biological Science and Technology, Yonsei University, Wonju 26493, Republic of Korea
#Current address: National Institute of Infectious Disease, National Institute of Health, Cheong-ju, Republic of Korea

Correspondence to:Sung-Sik Yoon       sungsik@yonsei.ac.kr

Received: April 22, 2022; Revised: May 10, 2022; Accepted: May 11, 2022

Abstract

Gamma-aminobutyric acid (GABA) improves various physiological illnesses, including diabetes, hypertension, depression, memory lapse, and insomnia in humans. Therefore, interest in the commercial production of GABA is steadily increasing. Lactic acid bacteria (LAB) have widely been reported as a GABA producer and are safe for human consumption. In this study, GABA-producing LAB were preliminarily identified and quantified via GABase assay. The acid and bile tolerance of the L. plantarum FBT215 strain were evaluated. The one-factor-at-a-time (OFAT) strategy was applied to determine the optimal conditions for GABA production using HPLC. Response surface methodology (RSM) with Box-Behnken design was used to predict the optimum GABA production. The strain FBT215 was shown to be acid and bile tolerant. The optimization of GABA production via the OFAT strategy resulted in an average GABA concentration of 1688.65 ± 14.29 μg/ml, while it was 1812.16 ± 23.16 μg/ml when RSM was applied. In conclusion, this study provides the optimum culture conditions for GABA production by the strain FBT215 and indicates that L. plantarum FBT215 is potentially promising for commercial functional probiotics with health claims.

Keywords: Gamma-aminobutyric acid, Lactiplantibacillus plantarum, probiotic properties, optimization, one-factor-at-a-time strategy, response surface methodology

Introduction

Gamma-aminobutyric acid (GABA) is widespread in nature; it functions as an inhibitory neurotransmitter in the central nervous system [1]. GABA is present in plants, animals, and microorganisms, including bacteria and fungi [2]. Moreover, it influences various physiological responses such as antihypertensive effects, memory improvement, regulation of mood, and sleep induction [3]. Owing to these health benefits, GABA has gained wide attention [4].

GABA is commonly obtained through fermentation using mold, fungi, yeast, and bacteria [5]. Among these, lactic acid bacteria (LAB) have widely been studied as GABA producers not only because of their generally recognized as safe (GRAS) status but also their safety for human consumption the difficulty of human consumption of other microorganisms [6]. GABA-producing LAB are isolated from various fermented foods: Levilactobacillus brevis HY1, L-32, and 877G were obtained from kimchi [7-9]; Lacticaseibacillus rhamnosus 21D-B, Lacticaseibacillus paracasei 15C, and Streptococcus thermophilus 84C were isolated from cheese [10]; and Lactobacillus senmaizukei sp. nov. was obtained from pickle [11]. Optimizing microbial GABA production is indispensable for manufacturing commercial GABA products [7, 12, 13].

Microbial GABA production is influenced by factors, such as fermentation time, initial pH, glutamate concentration, and medium composition [14]. These factors could be optimized through a one-factor-at-a-time (OFAT) strategy or response surface methodology (RSM) [7, 13]. In the conventional OFAT strategy, only one independent factor is varied while keeping the others constant. Optimization of GABA production by LAB using the conventional OFAT approach is insufficient; it does not consider interactions among the individual factors in a complex system [15-18]. RSM, a statistical method, is a design of experiments (DoE) commonly used to evaluate the effects of different factors [19]. It can be used to predict an optimal condition through a sequence of designed experiments [20]. Therefore, RSM saves experimental resources by reducing the number of experiments for optimization [21].

In this study, GABA-producing Lactiplantibacillus plantarum (formerly Lactobacillus plantarum) FBT215 was isolated from kimchi. The basic probiotic properties of L. plantarum FBT215 were investigated. The optimal fermentation conditions, including temperature, initial pH, carbon source, nitrogen source, and supplementation of L-monosodium glutamate (MSG) and pyridoxal-5’-phosphate (PLP), were determined using the OFAT strategy. A statistical method based on the Box-Behnken design (BBD) was used to determine the optimal concentration of each factor. The optimal conditions for GABA production by L. plantarum FBT215 were investigated through these two methods and compared.

Materials and Methods

Isolation of GABA-Producing Lactic acid Bacteria

Ten varieties of Korean fermented foods were collected from the traditional market in Gangwon-do, Republic of Korea. Each sample was suspended in 0.85% (w/v) NaCl (saline) and spun down to remove the food particles. The supernatant was filtered through a 5 μm filter paper (Toyo Roshi Kaisha, Ltd., Japan). The GABA-producing LAB were screened as described previously [22]. Briefly, the samples were centrifuged at 3,000 ×g for 10 min. The bacterial pellet was resuspended in de Man, Rogosa, and Sharpe broth (MRS broth; Becton, Dickinson and Company, USA) containing 50 mM MSG (pH 6.5; Sigma-Aldrich, USA) and incubated at 37°C for 3 h. The pH of the culture broth was adjusted to 4.0, followed by incubation at 37°C for 3 h. After incubation, each 10-fold diluted solution was inoculated on MRS agar plates containing bromocresol purple (BCP) and 0.02% (w/v) sodium azide (NaN3; Sigma-Aldrich); the plates were cultured at 37°C for 48 ± 3 h. Yellowish colonies grown on the plates were selected as the putative GABA-producing LAB strain.

GABase Assay

Putative GABA-producing LAB isolates were quantified through a spectrophotometric assay using the GABase enzyme. The isolated sample was centrifuged at 3,000 ×g for 10 min. The culture supernatants were treated with Carrez solution I (0.25 M potassium ferrocyanide; Sigma-Aldrich) and II (1.0 M zinc acetate; Samchun Chemical Co., Republic of Korea, 2% (v/v) glacial acetic acid; Daejung Chemical Co., Republic of Korea) for 30 min. The samples were then centrifuged at 10,000 ×g for 1 min. The reaction mixture for quantification consisted of 2.3 ml of 100 mM potassium pyrophosphate (Daejung Chemical Co.) buffer, 0.1 ml of 100 mM 2-mercaptoethanol solution (Sigma-Aldrich), 0.15 ml of 25 mM β-nicotinamide adenine dinucleotide phosphate (β-NADP; Sigma-Aldrich), 100 mM α-ketoglutarate (Sigma-Aldrich), and 0.3 ml of 10-fold diluted sample. 2 units/ml of GABase enzyme (Sigma-Aldrich) was added to each sample, and incubated at 25°C for 1 h. GABA concentration was determined based on the absorbance at 340 nm using a spectrophotometer (Multiskan Sky; Thermo Fisher Scientific, USA).

16S rDNA Sequencing and Identification of Adhesion-Related Gene Sequence

The universal primer set 27F (5’-AGAGTTTGATCMTGGCTCAG-3’) and 1492R (5’-GGTTACCTTGTT ACGACTT-3’) were used to identify the GABA producers [23]. SrtAF (5’-ATGAAGTCCAAGCAACA-3’) and SrtAR (5’- TTAATATTTGTTATTAAAATGACTTG-3’) were used for the amplification of the sortase A (SrtA). The PCR cycling conditions were: initial denaturation at 95°C/5 min, 35 cycles of denaturation at 95°C/30 sec, annealing at 55°C/30 sec, and extension at 72°C/30 sec, and a final extension at 72°C/7 min. DNA sequencing was performed at Macrogen (Republic of Korea). Sequence comparisons were performed using the Basic Local Alignment Search Tool (BLAST) available at the National Center for Biotechnology Information (NCBI; National Institutes of Health, USA). Sequence alignments were performed using BioEdit (Ibis Biosciences, USA).

Acid and Bile Tolerance

L. plantarum FBT215 was cultured in MRS broth at 37°C for 24 h. The culture broth was centrifuged at 6,000 ×g for 5 min, and the bacterial pellet was resuspended in saline. The acid tolerance was determined after adjusting the pH of the suspensions to pH 2.5, 3.0, and 6.0 with 1% (w/v) pepsin (Junsei Chemical Co., Japan). The viable cell count was measured every 1 h for 2 h on MRS agar. The bacterial culture was incubated in pH-adjusted MRS broth (pH 3.0) at 37°C for 2 h to determine bile tolerance. Subsequently, the culture broth was centrifuged at 6,000 ×g for 5 min; the medium was replaced with an equal volume of MRS broth with 0.3% (w/v) bile (oxgall, Sigma-Aldrich). The viable cell count was measured every 3 h for 6 h on MRS agar.

HPLC

GABA production was analyzed using HPLC (1260 Infinity series; Agilent Technologies) and a Poroshell120 HPH-C18 (4.6 mm × 150 mm × 4 μm; Agilent technologies). The pre-column ortho-phthalaldehyde derivatization method was used for analyzing GABA production. The automated injection program was performed as described by Agilent Technologies (USA), with slight modifications. In brief, solvent A contained 10 mM Na2HPO4, 10 mM Na2B4O7, and 5 mM NaN3; solvent B contained acetonitrile: methanol: water (45:45:10, v:v:v). The solutions were filtered through a 0.20 μm membrane (Hyundai Micro Co., LTD, Republic of Korea) using vacuum filtration. Sonication (JAC-1505; Kodo, Hwaseong-si, Republic of Korea) was performed for the bubble decay process. The isocratic elution conditions were: 2% solvent B from 0 min to 0.35 min, 57% solvent B from 0.35 min to 13.4 min, 100% solvent B from 13.4 min to 20.3 min, and 0% mobile phase B from 20.3 min to 23.0 min.

Optimization of GABA Production via OFAT Strategy

The OFAT strategy was used to determine the optimal conditions for GABA production by L. plantarum FBT215; the optimal temperature, initial pH, and fermentation time in MRS broth were determined. The effect of culture temperature in modified-MRS broth containing 50 mM MSG was evaluated at 25°C, 30°C, 37°C, 40°C, and 45°C. The influence of initial pH on GABA production was investigated at pH 3.5, 4.5, 5.5, 6.5, 7.5, 8.5, and 9.5. The optimal fermentation time was measured every 3 h for 12 h and then every 12 h until 96 h. The 2% glucose in MRS broth (pH 7.5) was replaced with different carbon sources (2% w/v; fructose, sucrose, lactose, galactose, xylose, maltose, mannitol, and lactulose). The 1% proteose-peptone No. 3 and 1% beef extract in MRS broth (pH 7.5) were replaced with different nitrogen sources (2% w/v; peptone, tryptone, soytone, proteose-peptone No.3, malt extract, and beef extract). The 2% glucose in MRS broth (pH 7.5) was replaced with three fructose-containing polymers (2% w/v; fructooligosaccharides, inulin, and raffinose) to evaluate the availability of prebiotics as a carbon source. The MSG concentrations (25–250 mM) and PLP concentrations (0–50 mM) were individually optimized.

Optimization of GABA Production via RSM

The RSM package in R software, version 4.1.2 (The R Foundation, Austria), was used to predict the optimal conditions for GABA production. RSM using the BBD model was performed, as described previously [7], with slight modifications. In brief, carbon concentration, nitrogen concentration, and initial pH were chosen as major factors influencing GABA production. Each factor was transformed into 3 coded levels (-1, 0, and 1). A second-order model was used to fit the data for the Y responses (GABA concentration). The Quadratic equation is as follows:

Y=β0+i=13βiXi+i=12j=i+13βijXiXj+i=13βiiXi2+e

β0 is constant; βi, βj, and βii are coefficients of variables. Xi and Xj indicate the levels of independent variables. Analysis of variance and regression analysis were performed using R.

Sequence Accession Number

The 16S rRNA gene sequence of L. plantarum FBT215 (accession no. OL587487) is available on GenBank (NCBI).

Statistical Analysis

Assays were performed in triplicate, and the results were analyzed using IBM SPSS Statistics 25 (IBM Corp., USA). Data are presented as mean ± standard deviation in bar charts. One-way ANOVA and Tukey’s multiple range tests were used to evaluate the significant differences (p < 0.01) among the groups.

Results

Isolation and Identification of GABA-Producing LAB

Potential GABA-producing LAB strains were isolated from 10 varieties of Korean fermented foods. GABA production from the isolates was evaluated using a GABase assay. Ten isolates produced high amounts of GABA (54.37 ± 5.44 μg/ml to 144.02 ± 14.40 μg/ml, Fig. 1); among them, isolate FBT215, which is the highest GABA producer at 144.02 ± 14.40 μg/ml, was selected for further experiments. 16S rRNA gene sequencing identified isolate FBT215 as L. plantarum.

Figure 1. The amount of GABA produced by LAB isolates cultured in modified-MRS broth supplemented with 50 mM MSG at 37°C for 48 h. The GABA concentration was quantified using the GABase assay. GABA, gammaaminobutyric acid; LAB, lactic acid bacteria; MSG, monosodium glutamate.

Probiotic Properties: Acid Tolerance, Bile Tolerance, and Identification of an Adhesion-Related Gene

At pH 2.5, the viability of L. plantarum FBT215 decreased significantly to 0.56 ± 0.11% and 0.61 ± 0.10%, after 1 and 2 h of incubation (p < 0.001, Fig. 2A), respectively. However, at pH 3.0, the viability was 96.1 ± 10.6% and 91.3± 9.20%, respectively. L. plantarum FBT215 survived in 0.3% (w/v) bile for 6 h (Fig. 2B). The viability was not significantly different compared to that of the control group. The putative adhesion-related enzyme, sortase A, was amplified via PCR; an approximately 700 bp amplicon was obtained (Fig. 2C).

Figure 2. Probiotic properties of Lactiplantibacillus plantarum FBT215. (A) Acid tolerance of L. plantarum FBT215 at pH 2.5, 3.0, and 6.0 (control). The cell viability was evaluated every hour for 2 h on an MRS agar plate. (B) Bile tolerance of L. plantarum FBT215. The cell viability was calculated every 3 h for 6 h on an MRS agar plate. (C) Gel electrophoresis of sortase A coding gene. The amplicon was visualized using 1.2% (w/v) agarose gel. Lane M, molecular mass marker (Thermo Fisher Scientific, SM0311); 1, sortase A amplicon.

Optimization of GABA Production via OFAT Strategy

GABA production was analyzed using the OFAT strategy and HPLC to determine the optimal culture conditions for L. plantarum FBT215. The optimal culture temperature for GABA production was 37°C, at which the GABA concentration was 103.67 ± 1.65 μg/ml (Fig. 3A). The GABA content significantly decreased at temperatures greater than or less than 37°C. The optimal pH for GABA production was measured in the pH range of 4.5–9.5. The optimal initial pH was 7.5 and 8.5 (121.76 ± 1.14 μg/ml and 114.75 ± 0.56 μg/ml, respectively, Fig. 3B); and was not detected at pH 3.5. The GABA production increased steadily from 9 h (33.28 ± 0.43 μg/ml) to 72 h (151. 42 ± 1.96 μg/ml); however, it remained stable after 72 h (Fig. 3C).

Figure 3. The concentration of GABA produced by Lactiplantibacillus plantarum FBT215 in modified-MRS broth. (A) The optimal temperature was determined by evaluating the GABA production at 25°C, 30°C, 37°C, 40°C, and 45°C in MRS broth supplemented with 50 mM MSG. (B) The optimal pH was determined by investigating the GABA production, at different pH conditions (pH 3.5-9.5), at 37°C in MRS broth supplemented with 50 mM MSG (C). The optimal incubation time was investigated for 96 h in MRS broth supplemented with 50 mM MSG at 37°C. (D) The optimum carbon source among nine different carbon sources (glucose, fructose, sucrose, lactose, galactose, xylose, mannose, mannitol, and lactulose) was determined by culturing in MRS broth supplemented with 50 mM MSG, at 37°C and pH 7.5, for 72 h. (E) The optimal fructose concentration in the range of 1−5% was investigated by culturing in MRS broth supplemented with 50 mM MSG, at 37°C and pH 7.5, for 72 h. (F) The optimum nitrogen source among seven different nitrogen sources (control, peptone, tryptone, soytone, proteose-peptone No. 3, malt extract, and beef extract) was determined by culturing in MRS broth supplemented with 50 mM MSG, at 37°C and pH 7.5, for 72 h. (G) The optimal tryptone concentration in the range of 1−5% was determined by culturing in MRS broth supplemented with 50 mM MSG, at 37°C and pH 7.5, for 72 h. (H) The optimal fructose-containing polymers among three different sources (Fructooligosaccharides, raffinose, and inulin) were determined by culturing in MRS broth supplemented with 50 mM MSG, at 37°C and pH 7.5, for 72 h. (I) The effect of MSG supplementation was evaluated in the range of 25-250 mM by culturing in MRS broth at 37°C and pH 7.5 for 72 h. (J) The effect of PLP supplementation was evaluated in the range of 0–50 mM by culturing in MRS broth supplemented with 50 mM MSG, at 37°C and pH 7.5, for 72 h. MSG, monosodium glutamate; PLP, pyridoxal 5’-phosphate.

The environmental factors were maintained at the optimal levels for the subsequent experiments. Several nutritional factors were assessed to enhance GABA production. Fructose was the best carbon source (553.57 ± 8.65 μg/ml); however, GABA production was enhanced in sucrose-containing broth (387.36 ± 19.85 μg/ml) when compared to that with glucose (286.17 ± 9.00 μg/ml), which represents the commercial MRS broth (Fig. 3D). However, lactose, galactose, xylose, maltose, mannitol, and lactulose did not improve GABA production compared to media with glucose. The optimal fructose concentration was 1% (w/v, 1502.40 ± 21.04 μg/ml, Fig. 3E). Tryptone was the best nitrogen source for GABA production (321.21 ± 11.53 μg/ml, Fig. 3F); peptone, soytone, proteose-peptone No. 3, malt extract, and beef extract did not improve GABA production compared to that in the commercial MRS broth (241.53 ± 7.19 μg/ml). The optimal tryptone concentration was 2% (w/v) and 3% (w/v) (330.17 ± 3.83 μg/ml and 334.41 ± 1.63 μg/ml, respectively, Fig. 3G). GABA production decreased with the addition of inulin and raffinose; however, the addition of fructooligosaccharides (FOS) enhanced GABA production (Fig. 3H).

The influence of MSG and PLP was evaluated in MRS-based broth. GABA production increased depending on MSG concentration (25 mM to 200 mM; 85.26 ± 1.88 μg/ml to 238.43 ± 4.44 μg/ml, respectively, Fig. 3I). The GABA production was maintained at 225 mM MSG; however, it was slightly decreased at 250 mM (236.15 ± 2.12 μg/ml). The addition of PLP influenced the GABA production by L. plantarum FBT215. The optimal PLP concentration was 12.50 mM (396.00 ± 18.26 μg/ml, Fig. 3J).

Table 1 . Box-Behnken design matrix and the predicted GABA concentrations..

FactorsSymbolCoded variable levels

-101

Fructose conc. (%, w/v)X10.511.5
Tryptone conc. (%, w/v)X2135
Initial pHX35.57.59.5


RunX1X2X3Y (μg/ml)

10-1140.13
201-1548.68
30-1-1690.12
401149.41
5-10136.38
610-1565.14
7-10-1717.65
810152.84
9-110162.66
101-10633.74
11-1-10100.74
12110320.72
130002221.16
140002168.85
150002251.79

Optimization of GABA Production via RSM

The optimal nutritional factors for GABA production were determined using the OFAT strategy; fructose and tryptone were the best carbon and nitrogen sources, respectively. Subsequently, the initial pH and the two nutritional factors were optimized using the RSM with the BBD model. The three variables were coded to three levels, and GABA production was calculated based on the average of triplicates. Data were analyzed using the quadratic regression model, and the critical variables were identified through backward elimination. As a result, the following equation was used.

Y=2213.93+69.37X147.91X2292.85X393.74X1X2+42.24X1X3+37.68X2X3949.28X12960.19X22921.66X32

X1, X2, and X3 indicate the concentration of fructose, tryptone, and the initial pH, respectively. This model’s multiple R-squared and adjusted R-squared value was 0.9903 and 0.9730, respectively. The value of Pr (>F) of lack of fit was 0.057 (Table 2), suggesting that this regression model was suitable for analyzing the GABA production. The responses considering the interaction of two variables with the other variable fixed at the optimal point were illustrated using a three-dimensional response surface graph. The effect of fructose and tryptone concentrations on GABA production at an initial pH of 7.18 was analyzed (Fig. 4A). The relationship between fructose concentrations and initial pH was analyzed at a tryptone concentration of 2.94% (w/v, Fig. 4B). Additionally, the effect of tryptone concentration and initial pH was analyzed at a fructose concentration of 1.02% (w/v, Fig. 4C). The optimum conditions for maximum GABA production were determined using the quadratic regression model equation and response surface graph; they were 1.02% fructose, 2.94% tryptone, and an initial pH of 7.18. The GABA content was 2239.07 μg/ml at the optimum point.

Table 2 . ANOVA for GABA production..

FactorsSum of squareMean squareF valuePr(>F)
FO(X1, X2, X3)74297224765713.6010.0077
TWI(X1, X2, X3)47962159870.8780.5117
PQ(X1, X2, X3)85527632850921156.5642.31E-05
Residuals9104618209
Lack of fit875292917616.5880.0573
Pure error35181759
Multiple R2:0.9903Adjusted R2:0.9730

Figure 4. Three-dimensional response surface plots illustrating the effect of each variable on GABA production by L. plantarum FBT215. (A) GABA concentration by the interaction between fructose concentration and tryptone concentration. (B) GABA concentration by the interaction between fructose concentration and initial pH. (C) GABA concentration by the interaction between tryptone concentration and initial pH.

Discussion

GABA is a major inhibitory neurotransmitter in the CNS; its beneficial effects are widely recognized. In this study, we investigated the basic probiotic properties of GABA-producing L. plantarum FBT215. In addition, the optimal conditions for GABA production by L. plantarum FBT215 were determined using the OFAT strategy and the RSM method; the optimal conditions determined through the two methods were compared.

The survival of probiotic bacteria in the gastrointestinal tract is incumbent on their acid and bile tolerance [24]. L. rhamnosus GG, a probiotic bacterium, was unable to grow at pH < 3.0 and could tolerate 0.15% (w/v) bile salts [25]. Similarly, L. plantarum FBT215 was vulnerable at low pH (< 3.0) but had tolerance to bile salts (Fig. 2). The pH in the human stomach ranges from 1.0 to 2.0; however, it could be 3.0 or higher in the presence of food [26]. Therefore, the application of L. plantarum FBT215 as probiotics could be more efficient when coated with an acid-tolerance agent or consumed immediately after a meal. srtA codes sortase A; it recognizes LPxTG sorting motifs and influences the adhesion of L. acidophilus ATCC 4356. [27]. SrtA deletion significantly decreases the surface exposure of mannose-specific adhesins; this could explain the effects on mannose-specific adhesion [28]. The complete sequence of L. plantarum FBT215 SrtA was identified and was consistent with that of SrtA from L. plantarum ATCC 202195 (Accession No. QVG76613.1) and L. plantarum ATCC 14917 (Accession No. EFK27984.1). This work has opened new avenues to study the association between SrtA and the cell adhesion capacity of L. plantarum FBT215; the LPxTG sorting motifs and mannose-specific adhesin-related genes can be explored further.

The optimal conditions for efficient GABA production by L. plantarum FBT215 under various environmental and nutritional conditions were determined using HPLC. L. plantarum is a mesophilic bacterium; the optimal growth temperature is 37°C in MRS broth [29]. Microbial GABA production is efficient at a low pH; however, GABA production is optimal at neutral pH in some Lactobacillus spp. [30]. The severe growth retardation of LAB at low pH could inadequate GABA production. The GABA production in L. plantarum FBT215 was decreased under acidic conditions and was maximum at pH 7.5 and 8.5 (Fig. 3B). The preferred carbon source for GABA production varies with the LAB strain: 1% (w/v) glucose plus 1% fructose for L. brevis CRL 2013 [31], 3% glucose for L. plantarum N5 [32], 2% maltose for L. brevis HYE1 [33], and 2% glucose for L. plantarum KCTC 3103 [13]. L. plantarum FBT215 produced the highest amounts of GABA with 1% fructose (Fig. 3E). Using this strain would be industrially advantageous due to the lower carbon source consumption than other LAB. The optimal nitrogen source for GABA production by L. plantarum FBT215 was 2% tryptone (Fig. 3G). These results contradict the earlier finding that yeast extract was the optimal nitrogen source [16, 17, 32]. However, yeast produces various biologically active ingredients containing GABA and glutamate [34, 35]. Therefore, yeast extract was considered a growth factor for the precise analysis of GABA production by L. plantarum FBT215. Consequently, the optimum carbon and nitrogen sources for GABA production by L. plantarum FBT215 were 1% fructose and 2% tryptone, respectively. Fructose-based carbon sources, except inulin, were metabolized for GABA synthesis in L. plantarum FBT215. FOS and raffinose lyase could be encoded in the putative probiotics; further studies are warranted. The addition of PLP, a co-factor of glutamate decarboxylase (GAD), increased GABA production (Fig. 3J) and is a major factor influencing GABA production [36, 37].

The OFAT strategy is traditionally employed to optimize the responses of interest. Several studies aimed to optimize the conditions for enhancing GABA production by LAB [15-18]. However, the method has limitations because the interactions of individual factors cannot be considered in a complex system; it can only be evaluated at specific points [33]. Therefore, RSM with the CCD model was assessed for optimizing GABA production in an L. fermentum isolate. Three variables were analyzed, i.e., glucose concentration, MSG concentration, and incubation time [38]. GABA production by Lactobacillus sp. Makhdzir Naser-1 was optimized with a focus on temperature, pH, glutamic acid concentration, and incubation time [39]. In this study, optimization of GABA production by L. plantarum FBT215 was performed using RSM with a BBD model. The actual GABA content at the optimal conditions predicted using the conventional and statistical methods was significantly different (p < 0.05), at 1688.65 ± 14.29 μg/ml and 1812.16 ± 23.16 μg/ml, respectively (data not shown). The actual GABA content via RSM with the BBD model was 80.93% of the predicted value. Therefore, RSM with the BBD model is more reliable for optimizing the GABA production in L. plantarum FBT215.

In the beginning, GABA was chemically synthesized to meet demands, but this synthesis method was replaced due to the higher yields and lower costs of the biosynthetic process [40]. In this study, optimization of GABA production by L. plantarum FBT215 was investigated under various conditions. LAB have widely been studied as GABA producers not only because of their GRAS status but also the difficulty of human consumption of other microorganisms. Although optimization of GABA-producing LAB has already been reported in previous studies, it is vital to screen new resources because of the differences in the fermentation profiles of individual LAB [41]. Among LAB, L. plantarum has been investigated as a key species for GABA production [42]. L. plantarum FBT215 produced a high amount of GABA in MRS-based medium compared to that by others: 0.74 g/l for L. plantarum Taj-Apis362 [43], 1.5 g/l for L. plantarum K154 [44], 0.1 g/l for L. plantarum NMZ [45], and 0.6 g/l for L. plantarum NTU 102 [46]. GABA has long been thought to be unable to cross the blood-brain barrier; however, it is suggested that GABA exerts veridical effects on the brain possibly via the enteric nervous system [4]. Studies in animals have reported that the gut microbiota can regulate GABAergic neurotransmission through the vagus nerve, which is the main pathway from the abdominal cavity to the brain [47, 48]. Currently, the number of patients affected by physiological disorders is gradually increasing, and it has been suggested that GABA could potentially support a role for dysregulated GABAergic functioning in neural circuits [49]. Therefore, further studies are needed on GABA production by L. plantarum FBT215, which could exert a therapeutic effect on physiological illnesses in mammalian models.

In summary, the basic probiotic properties of the LAB strain L. plantarum FBT215 were investigated. GABA production was optimized using the OFAT strategy and RSM with a BBD model. This study can provide culture conditions for commercial functional probiotics with health claims in vitro. Further studies are warranted to optimize the various culture conditions to enhance GABA production and understand the in vivo physiological effects of GABA produced by L. plantarum FBT215.

Acknowledgments

This work was supported by a grant from the Commercializations Promotion Agency for R&D Outcomes (COMPA), funded by the Ministry of Science and ICT, Republic of Korea (Project Number: 1711150496).

Conflict of Interest

The authors have no financial conflicts of interest to declare.

Fig 1.

Figure 1.The amount of GABA produced by LAB isolates cultured in modified-MRS broth supplemented with 50 mM MSG at 37°C for 48 h. The GABA concentration was quantified using the GABase assay. GABA, gammaaminobutyric acid; LAB, lactic acid bacteria; MSG, monosodium glutamate.
Journal of Microbiology and Biotechnology 2022; 32: 783-791https://doi.org/10.4014/jmb.2204.04029

Fig 2.

Figure 2.Probiotic properties of Lactiplantibacillus plantarum FBT215. (A) Acid tolerance of L. plantarum FBT215 at pH 2.5, 3.0, and 6.0 (control). The cell viability was evaluated every hour for 2 h on an MRS agar plate. (B) Bile tolerance of L. plantarum FBT215. The cell viability was calculated every 3 h for 6 h on an MRS agar plate. (C) Gel electrophoresis of sortase A coding gene. The amplicon was visualized using 1.2% (w/v) agarose gel. Lane M, molecular mass marker (Thermo Fisher Scientific, SM0311); 1, sortase A amplicon.
Journal of Microbiology and Biotechnology 2022; 32: 783-791https://doi.org/10.4014/jmb.2204.04029

Fig 3.

Figure 3.The concentration of GABA produced by Lactiplantibacillus plantarum FBT215 in modified-MRS broth. (A) The optimal temperature was determined by evaluating the GABA production at 25°C, 30°C, 37°C, 40°C, and 45°C in MRS broth supplemented with 50 mM MSG. (B) The optimal pH was determined by investigating the GABA production, at different pH conditions (pH 3.5-9.5), at 37°C in MRS broth supplemented with 50 mM MSG (C). The optimal incubation time was investigated for 96 h in MRS broth supplemented with 50 mM MSG at 37°C. (D) The optimum carbon source among nine different carbon sources (glucose, fructose, sucrose, lactose, galactose, xylose, mannose, mannitol, and lactulose) was determined by culturing in MRS broth supplemented with 50 mM MSG, at 37°C and pH 7.5, for 72 h. (E) The optimal fructose concentration in the range of 1−5% was investigated by culturing in MRS broth supplemented with 50 mM MSG, at 37°C and pH 7.5, for 72 h. (F) The optimum nitrogen source among seven different nitrogen sources (control, peptone, tryptone, soytone, proteose-peptone No. 3, malt extract, and beef extract) was determined by culturing in MRS broth supplemented with 50 mM MSG, at 37°C and pH 7.5, for 72 h. (G) The optimal tryptone concentration in the range of 1−5% was determined by culturing in MRS broth supplemented with 50 mM MSG, at 37°C and pH 7.5, for 72 h. (H) The optimal fructose-containing polymers among three different sources (Fructooligosaccharides, raffinose, and inulin) were determined by culturing in MRS broth supplemented with 50 mM MSG, at 37°C and pH 7.5, for 72 h. (I) The effect of MSG supplementation was evaluated in the range of 25-250 mM by culturing in MRS broth at 37°C and pH 7.5 for 72 h. (J) The effect of PLP supplementation was evaluated in the range of 0–50 mM by culturing in MRS broth supplemented with 50 mM MSG, at 37°C and pH 7.5, for 72 h. MSG, monosodium glutamate; PLP, pyridoxal 5’-phosphate.
Journal of Microbiology and Biotechnology 2022; 32: 783-791https://doi.org/10.4014/jmb.2204.04029

Fig 4.

Figure 4.Three-dimensional response surface plots illustrating the effect of each variable on GABA production by L. plantarum FBT215. (A) GABA concentration by the interaction between fructose concentration and tryptone concentration. (B) GABA concentration by the interaction between fructose concentration and initial pH. (C) GABA concentration by the interaction between tryptone concentration and initial pH.
Journal of Microbiology and Biotechnology 2022; 32: 783-791https://doi.org/10.4014/jmb.2204.04029

Table 1 . Box-Behnken design matrix and the predicted GABA concentrations..

FactorsSymbolCoded variable levels

-101

Fructose conc. (%, w/v)X10.511.5
Tryptone conc. (%, w/v)X2135
Initial pHX35.57.59.5


RunX1X2X3Y (μg/ml)

10-1140.13
201-1548.68
30-1-1690.12
401149.41
5-10136.38
610-1565.14
7-10-1717.65
810152.84
9-110162.66
101-10633.74
11-1-10100.74
12110320.72
130002221.16
140002168.85
150002251.79

Table 2 . ANOVA for GABA production..

FactorsSum of squareMean squareF valuePr(>F)
FO(X1, X2, X3)74297224765713.6010.0077
TWI(X1, X2, X3)47962159870.8780.5117
PQ(X1, X2, X3)85527632850921156.5642.31E-05
Residuals9104618209
Lack of fit875292917616.5880.0573
Pure error35181759
Multiple R2:0.9903Adjusted R2:0.9730

References

  1. Bowery NG, Smart TG. 2006. GABA and glycine as neurotransmitters: a brief history. Br. J. Pharmacol. 147: S109-S119.
    Pubmed KoreaMed CrossRef
  2. Hepsomali P, Groeger JA, Nishihira J, Scholey A. 2020. Effects of oral gamma-aminobutyric acid (GABA) administration on stress and sleep in humans: a systematic review. Front. Neurosci. 14: 923.
    Pubmed KoreaMed CrossRef
  3. Tsai JS, Lin YS, Pan BS, Chen TJ. 2006. Antihypertensive peptides and γ-aminobutyric acid from prozyme 6 facilitated lactic acid bacteria fermentation of soymilk. Process Biochem. 41: 1282-1288.
    CrossRef
  4. Boonstra E, de Kleijn R, Colzato LS, Alkemade A, Forstmann BU, Nieuwenhuis S. 2015. Neurotransmitters as food supplements: the effects of GABA on brain and behavior. Front. Psychol. 6: 1520.
    Pubmed KoreaMed CrossRef
  5. Dhakal R, Bajpai VK, Baek KH. 2012. Production of gaba (γ-aminobutyric acid) by microorganisms: a review. Braz. J. Microbiol. 43: 1230-1241.
    Pubmed KoreaMed CrossRef
  6. Hwang CE, Haque MA, Lee JH, Joo OS, Kim SC, Lee HY, et al. 2018. Comparison of γ-aminobutyric acid and isoflavone aglycone contents, to radical scavenging activities of high-protein soybean sprouting by lactic acid fermentation with Lactobacillus brevis. Korean J. Food Preserv. 25: 7-18.
    CrossRef
  7. Lim HS, Cha IT, Roh SW, Shin HH, Seo MJ. 2017. Enhanced production of gamma-aminobutyric acid by optimizing culture conditions of Lactobacillus brevis HYE1 isolated from Kimchi, a Korean fermented food. J. Microbiol. Biotechnol. 27: 450-459.
    Pubmed CrossRef
  8. Han SH, Hong KB, Suh HJ. 2017. Biotransformation of monosodium glutamate to gamma-aminobutyric acid by isolated strain Lactobacillus brevis L-32 for potentiation of pentobarbital-induced sleep in mice. Food Biotechnol. 31: 80-93.
    CrossRef
  9. Seo M-J, Nam Y-D, Park S-L, Lee S-Y, Yi S-H, Lim S-I. 2013. γ-Aminobutyric acid production in skim milk co-fermented with Lactobacillus brevis 877G and Lactobacillus sakei 795. Food Sci. Biotechnol. 22: 751-755.
    CrossRef
  10. Franciosi E, Carafa I, Nardin T, Schiavon S, Poznanski E, Cavazza A, et al. 2015. Biodiversity and gamma-aminobutyric acid production by lactic acid bacteria isolated from traditional alpine raw cow's milk cheeses. Biomed Res. Int. 2015: 625740.
    Pubmed KoreaMed CrossRef
  11. Hiraga K, Ueno Y, Sukontasing S, Tanasupawat S, Oda K. 2008. Lactobacillus senmaizukei sp. nov., isolated from Japanese pickle. Int. J. Syst. Evol. Microbiol. 58: 1625-1629.
    Pubmed CrossRef
  12. Rayavarapu B, Tallapragada P, Usha M. 2021. Optimization and comparison of γ-aminobutyric acid (GABA) production by LAB in soymilk using RSM and ANN models. Beni-Suef Univ. J. Basic Appl. Sci. 10: 1-15.
    CrossRef
  13. Kim NY, Kim SK, Ra CH. 2021. Evaluation of gamma-aminobutyric acid (GABA) production by Lactobacillus plantarum using twostep fermentation. Bioproc. Biosyst. Eng. 44: 2099-2108.
    Pubmed CrossRef
  14. Li H, Qiu T, Gao D, Cao Y. 2010. Medium optimization for production of gamma-aminobutyric acid by Lactobacillus brevis NCL912. Amino Acids 38: 1439-1445.
    Pubmed CrossRef
  15. Wahid Z, Nadir N. 2013. Improvement of one factor at a time through design of experiments. World Appl. Sci. J. 21: 56-61.
  16. Binh TT, Ju WT, Jung WJ, Park RD. 2014. Optimization of γ-amino butyric acid production in a newly isolated Lactobacillus brevis. Biotechnol. Lett. 36: 93-98.
    Pubmed CrossRef
  17. Kook M-C, Seo M-J, Cheigh C-I, Pyun Y-R, Cho S-C, Park H. 2010. Enhanced production of γ-aminobutyric acid using rice bran extracts by Lactobacillus sakei B2-16. J. Microbiol. Biotechnol. 20: 763-766.
  18. Lim HS, Cha I-T, Lee H, Seo M-J. 2016. Optimization of γ-aminobutyric acid production by Enterococcus faecium JK29 isolated from a traditional fermented foods. Microbiol. Biotechnol. Lett. 44: 26-33.
    CrossRef
  19. Aydar AY. 2018. Utilization of response surface methodology in optimization of extraction of plant materials, pp. 157-169. In: Ch. 10. Statistical approaches with emphasis on design of experiments applied to chemical processes. Croatia.
    CrossRef
  20. Sun Y, Li T, Yan J, Liu J. 2010. Technology optimization for polysaccharides (POP) extraction from the fruiting bodies of Pleurotus ostreatus by Box-Behnken statistical design. Carbohydr. Polym. 80: 242-247.
    CrossRef
  21. Survase SA, Annapure US, Singhal RS. 2009. Statistical optimization for improved production of cyclosporin a in solid-state fermentation. J. Microbiol. Biotechnol. 19: 1385-1392.
    Pubmed CrossRef
  22. Kim J, Yoon YW, Kim MS, Lee MH, Kim GA, Bae K, et al. 2022. γ-Aminobutyric acid fermentation in MRS-based medium by the fructophilic Lactiplantibacillus plantarum Y7. Food Sci. Biotechnol. 31: 333-341.
    Pubmed CrossRef
  23. Weisburg WG, Barns SM, Pelletier DA, Lane DJ. 1991. 16S ribosomal DNA amplification for phylogenetic study. J. Bacteriol. 173: 697-703.
    Pubmed KoreaMed CrossRef
  24. Pan XD, Chen FQ, Wu TX, Tang HG, Zhao ZY. 2009. The acid, bile tolerance and antimicrobial property of Lactobacillus acidophilus NIT. Food Control 20: 598-602.
    CrossRef
  25. Goldin BR, Gorbach SL, Saxelin M, Barakat S, Gualtieri L, Salminen S. 1992. Survival of Lactobacillus species (strain GG) in human gastrointestinal-tract. Digest Dis. Sci. 37: 121-128.
    Pubmed CrossRef
  26. Kanklai J, Somwong TC, Rungsirivanich P, Thongwai N. 2020. Screening of GABA-producing lactic acid bacteria from Thai fermented foods and probiotic potential of Levilactobacillus brevis F064A for GABA-fermented mulberry juice production. Microorganisms 9: 33.
    Pubmed KoreaMed CrossRef
  27. Wu Z, Wu J, Lang F, Cai Z, Zeng X, Guo Y, et al. 2020. Characterization of the sortase A from Lactobacillus acidophilus ATCC 4356 involved in adherence to intestinal cells. Future Microbiol. 15: 485-496.
    Pubmed CrossRef
  28. Remus DM, Bongers RS, Meijerink M, Fusetti F, Poolman B, de Vos P, et al. 2013. Impact of Lactobacillus plantarum sortase on target protein sorting, gastrointestinal persistence, and host immune response modulation. J. Bacteriol. 195: 502-509.
    Pubmed KoreaMed CrossRef
  29. Matejcekova Z, Spodniakova S, Dujmic E, Liptakova D, Valik L. 2019. Modelling growth of Lactobacillus plantarum as a function of temperature: effects of media. J. Food Nutr. Res. 58: 125-134.
  30. Barla F, Koyanagi T, Tokuda N, Matsui H, Katayama T, Kumagai H, et al. 2016. The γ-aminobutyric acid-producing ability under low pH conditions of lactic acid bacteria isolated from traditional fermented foods of Ishikawa Prefecture, Japan, with a strong ability to produce ACE-inhibitory peptides. Biotechnol. Rep (Amst). 10: 105-110.
    Pubmed KoreaMed CrossRef
  31. Cataldo PG, Villegas JM, Savoy de Giori G, Saavedra L, Hebert EM. 2020. Enhancement of γ-aminobutyric acid (GABA) production by Lactobacillus brevis CRL 2013 based on carbohydrate fermentation. Int. J. Food Microbiol. 333: 108792.
    Pubmed CrossRef
  32. Harnentis H, Nurmiati N, Marlida Y, Adzitey F, Huda N. 2019. γ-Aminobutyric acid production by selected lactic acid bacteria isolate of an Indonesian indigenous fermented buffalo milk (dadih) origin. Vet. World 12: 1352-1357.
    Pubmed KoreaMed CrossRef
  33. Lim HS, Cha IT, Roh SW, Shin HH, Seo MJ. 2017. Enhanced production of γ-aminobutyric acid by optimizing culture conditions of Lactobacillus brevis HYE1 isolated from Kimchi, a Korean fermented food. J. Microbiol. Biotechnol. 27: 450-459.
    Pubmed CrossRef
  34. Li YD, Wang T, Li S, Yin PP, Sheng HY, Wang TB, et al. 2022. Influence of GABA-producing yeasts on cheese quality, GABA content, and the volatilome. LWT 154: 15.
    CrossRef
  35. Mara P, Fragiadakis GS, Gkountromichos F, Alexandraki D. 2018. The pleiotropic effects of the glutamate dehydrogenase (GDH) pathway in Saccharomyces cerevisiae. Microb. Cell Fact. 17: 170.
    Pubmed KoreaMed CrossRef
  36. Komatsuzaki N, Shima J, Kawamoto S, Momose H, Kimura T. 2005. Production of γ-aminobutyric acid (GABA) by Lactobacillus paracasei isolated from traditional fermented foods. Food Microbiol. 22: 497-504.
    CrossRef
  37. Hussin FS, Chay SY, Hussin ASM, Ibadullah WZW, Muhialdin BJ, Abd Ghani MS, et al. 2021. GABA enhancement by simple carbohydrates in yoghurt fermented using novel, self-cloned Lactobacillus plantarum Taj-Apis362 and metabolomics profiling. Sci. Rep. 11: 9417.
    Pubmed KoreaMed CrossRef
  38. Rayavarapu B, Tallapragada P, Ms U. 2021. Optimization and comparison of γ-aminobutyric acid (GABA) production by LAB in soymilk using RSM and ANN models. Beni-Suef Univ. J. Basic Appl. Sci. 10: 14.
    CrossRef
  39. Gharehyakheh S, Rad AH, Nateghi L, Varmira K. 2019. Production of GABA-enriched honey syrup using Lactobacillus bacteria isolated from honey bee stomach. J. Food Process Preserv. 43: e14054.
    CrossRef
  40. Diez-Gutierrez L, San Vicente L, Barron LJR, Villaran MD, Chavarri M. 2020. γ-Aminobutyric acid and probiotics: Multiple health benefits and their future in the global functional food and nutraceuticals market. J. Funct. Foods 64: 103669.
    CrossRef
  41. Kim M-J, Kim K-S. 2012. Isolation and identification of γ-aminobutyric acid (GABA)-producing lactic acid bacteria from Kimchi. J. Korean Soc. Appl. Biol. Chem. 55: 777-785.
    CrossRef
  42. Li H, Cao Y. 2010. Lactic acid bacterial cell factories for γ-aminobutyric acid. Amino Acids 39: 1107-1116.
    Pubmed CrossRef
  43. Tajabadi N, Ebrahimpour A, Baradaran A, Rahim RA, Mahyudin NA, Manap MY, et al. 2015. Optimization of γ-aminobutyric acid production by Lactobacillus plantarum Taj-Apis362 from honeybees. Molecules 20: 6654-6669.
    Pubmed KoreaMed CrossRef
  44. Kwon SY, Garcia CV, Song YC, Lee SP. 2016. GABA-enriched water dropwort produced by co-fermentation with Leuconostoc mesenteroides SM and Lactobacillus plantarum K154. LWT 73: 233-238.
    CrossRef
  45. Zareian M, Ebrahimpour A, Mohamed AKS, Saari N. 2013. Modeling of glutamic acid production by Lactobacillus plantarum MNZ. Electron J. Biotechnol. 16. http://dx.doi.org/10.2225/vol16-issue4-fulltext-10.
    CrossRef
  46. Tung YT, Lee BH, Liu CF, Pan TM. 2011. Optimization of culture condition for ACEI and GABA production by lactic acid bacteria. J. Food Sci. 76: M585-M591.
    Pubmed CrossRef
  47. Bravo JA, Forsythe P, Chew MV, Escaravage E, Savignac HM, Dinan TG, et al. 2011. Ingestion of Lactobacillus strain regulates emotional behavior and central GABA receptor expression in a mouse via the vagus nerve. Proc. Natl. Acad. Sci. USA 108: 16050-16055.
    Pubmed KoreaMed CrossRef
  48. Janik R, Thomason LAM, Stanisz AM, Forsythe P, Bienenstock J, Stanisz GJ. 2016. Magnetic resonance spectroscopy reveals oral Lactobacillus promotion of increases in brain GABA, N-acetyl aspartate and glutamate. Neuroimage 125: 988-995.
    Pubmed CrossRef
  49. Busler J, Coello E, Liao V, Lin A, Mahon P. 2021. Cortical GABA and perceived stress in adults. Biol. Psychiatry 89: S381-S382.
    CrossRef