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A review on the application of bioinformatics tools in food microbiome studies.
Chelliah, Ramachandran; Banan-MwineDaliri, Eric; Khan, Imran; Wei, Shuai; Elahi, Fazle; Yeon, Su-Jung; Selvakumar, Vijayalakshmi; Ofosu, Fred Kwame; Rubab, Momna; Ju, Hum Hun; Rallabandi, Harikrishna Reddy; Madar, Inamul Hasan; Sultan, Ghazala; Oh, Deog Hwan.
Affiliation
  • Chelliah R; Department of Food Science and Biotechnology, College of Agriculture and Life Sciences, Kangwon National University, Chuncheon, Gangwon-do 24341, Korea.
  • Banan-MwineDaliri E; Department of Food Science and Biotechnology, College of Agriculture and Life Sciences, Kangwon National University, Chuncheon, Gangwon-do 24341, Korea.
  • Khan I; Department of Food Science and Biotechnology, College of Agriculture and Life Sciences, Kangwon National University, Chuncheon, Gangwon-do 24341, Korea.
  • Wei S; Department of Biotechnology, University of Malakand, Khyber Pakhtunkhwa Pakistan.
  • Elahi F; Department of Food Science and Biotechnology, College of Agriculture and Life Sciences, Kangwon National University, Chuncheon, Gangwon-do 24341, Korea.
  • Yeon SJ; Guangdong Provincial Key Laboratory of Aquatic Product Processing and Safety, College of Food Science and Technology, Guangdong Ocean University, Zhanjiang 524088, China.
  • Selvakumar V; Department of Food Science and Biotechnology, College of Agriculture and Life Sciences, Kangwon National University, Chuncheon, Gangwon-do 24341, Korea.
  • Ofosu FK; Department of Food Science and Biotechnology, College of Agriculture and Life Sciences, Kangwon National University, Chuncheon, Gangwon-do 24341, Korea.
  • Rubab M; Department of Food Science and Biotechnology, College of Agriculture and Life Sciences, Kangwon National University, Chuncheon, Gangwon-do 24341, Korea.
  • Ju HH; Department of Food Science and Biotechnology, College of Agriculture and Life Sciences, Kangwon National University, Chuncheon, Gangwon-do 24341, Korea.
  • Rallabandi HR; Department of Food Science and Biotechnology, College of Agriculture and Life Sciences, Kangwon National University, Chuncheon, Gangwon-do 24341, Korea.
  • Madar IH; Department of Biological Environment, College of Agriculture and Life Sciences, Kangwon National University, Chuncheon, Gangwon-do 24341, Korea.
  • Sultan G; Department of Food Science and Biotechnology, College of Agriculture and Life Sciences, Kangwon National University, Chuncheon, Gangwon-do 24341, Korea.
  • Oh DH; Department of Biochemistry, School of Life Science, Bharathidasan, University, Thiruchirappalli, Tamilnadu, India.
Brief Bioinform ; 23(2)2022 03 10.
Article in En | MEDLINE | ID: mdl-35189636
ABSTRACT
There is currently a transformed interest toward understanding the impact of fermentation on functional food development due to growing consumer interest on modified health benefits of sustainable foods. In this review, we attempt to summarize recent findings regarding the impact of Next-generation sequencing and other bioinformatics methods in the food microbiome and use prediction software to understand the critical role of microbes in producing fermented foods. Traditionally, fermentation methods and starter culture development were considered conventional methods needing optimization to eliminate errors in technique and were influenced by technical knowledge of fermentation. Recent advances in high-output omics innovations permit the implementation of additional logical tactics for developing fermentation methods. Further, the review describes the multiple functions of the predictions based on docking studies and the correlation of genomic and metabolomic analysis to develop trends to understand the potential food microbiome interactions and associated products to become a part of a healthy diet.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Microbiota / Fermented Foods Type of study: Prognostic_studies Language: En Journal: Brief Bioinform Journal subject: BIOLOGIA / INFORMATICA MEDICA Year: 2022 Type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Microbiota / Fermented Foods Type of study: Prognostic_studies Language: En Journal: Brief Bioinform Journal subject: BIOLOGIA / INFORMATICA MEDICA Year: 2022 Type: Article