Literature DB >> 30381171

Untargeted metabolite profiling for koji-fermentative bioprocess unravels the effects of varying substrate types and microbial inocula.

Han Sol Seo1, Sunmin Lee2, Digar Singh3, Hye Won Shin4, Sun A Cho5, Choong Hwan Lee6.   

Abstract

Untargeted metabolomics unraveled the effects of varying substrates (soybean, wheat, and rice) and inocula (Aspergillus oryzae and Bacillus amyloliquefaciens) on metabolite compositions of koji, a starter ingredient in various Asian fermented foods. Multivariate analyses of the hyphenated mass spectrometry datasets for different koji extracts highlighted 61 significantly discriminant primary metabolites (sugars and sugar alcohols, organic acids, amino acids, fatty acids, nucleosides, phenolic acids, and vitamins) according to varying substrates and inocula combinations. However, 59 significantly discriminant secondary metabolites were evident for koji-types with varying substrates only, viz., soybean (flavonoids, soyasaponins, and lysophospholipids), wheat (flavones and lysophospholipids), and rice (flavonoids, fatty acids derivatives, and lysophospholipids). Independently, the substrates influenced primary metabolite compositions in koji (soybean > wheat, rice). The inocula choice of A. oryzae engendered higher carbohydrates, organic acids, and lipid derivative levels commensurate with high α-amylase and β-glucosidase activities, while B. amyloliquefaciens affected higher amino acids levels, in respective koji types.
Copyright © 2018. Published by Elsevier Ltd.

Entities:  

Keywords:  Biochemical phenotypes; Diethylene glycol (PubChem CID: 8117); Ferulic acid (PubChem CID: 445858); Glycerol (PubChem CID: 753); Koji fermentation; Linoleic acid (PubChem CID: 5280450); LysoPC 16:0 (PubChem CID: 460602); LysoPE 18:2 (PubChem CID: 52925130); Mass spectrometry; Metabolites; Microbial inocula; Oxalic acid (PubChem CID: 971); Substrate types; Tricin-7-O-rutinoside (PubChem CID: 44258273)

Mesh:

Substances:

Year:  2018        PMID: 30381171     DOI: 10.1016/j.foodchem.2018.05.048

Source DB:  PubMed          Journal:  Food Chem        ISSN: 0308-8146            Impact factor:   7.514


  6 in total

1.  Comparative Evaluation of Quality and Metabolite Profiles in Meju Using Starter Cultures of Bacillus velezensis and Aspergillus oryzae.

Authors:  Na-Young Gil; Ye-Ji Jang; Hee-Min Gwon; Woo-Soo Jeong; Soo-Hwan Yeo; So-Young Kim
Journal:  Foods       Date:  2021-12-28

2.  Non-obligate pairwise metabolite cross-feeding suggests ammensalic interactions between Bacillus amyloliquefaciens and Aspergillus oryzae.

Authors:  Digar Singh; Sang Hee Lee; Choong Hwan Lee
Journal:  Commun Biol       Date:  2022-03-15

Review 3.  Metabolomics as a Prospective Tool for Soybean (Glycine max) Crop Improvement.

Authors:  Efficient Ncube; Keletso Mohale; Noluyolo Nogemane
Journal:  Curr Issues Mol Biol       Date:  2022-09-12       Impact factor: 2.976

4.  Effect of Soybean and Soybean Koji on Obesity and Dyslipidemia in Rats Fed a High-Fat Diet: A Comparative Study.

Authors:  Sihoon Park; Jae-Joon Lee; Hye-Won Shin; Sunyoon Jung; Jung-Heun Ha
Journal:  Int J Environ Res Public Health       Date:  2021-06-04       Impact factor: 3.390

5.  Comparative Evaluation of Six Traditional Fermented Soybean Products in East Asia: A Metabolomics Approach.

Authors:  Yong Sung Kwon; Sunmin Lee; Seung Hwa Lee; Hae Jin Kim; Choong Hwan Lee
Journal:  Metabolites       Date:  2019-09-13

6.  Metabolic Profiling-Based Evaluation of the Fermentative Behavior of Aspergillus oryzae and Bacillus subtilis for Soybean Residues Treated at Different Temperatures.

Authors:  Hyejin Hyeon; Cheol Woo Min; Keumok Moon; Jaeho Cha; Ravi Gupta; Sang Un Park; Sun Tae Kim; Jae Kwang Kim
Journal:  Foods       Date:  2020-01-22
  6 in total

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