A review on the application of bioinformatics tools in food microbiome studies

Author:

Chelliah Ramachandran1,Banan-MwineDaliri Eric1,Khan Imran12,Wei Shuai13,Elahi Fazle1,Yeon Su-Jung1,Selvakumar Vijayalakshmi1,Ofosu Fred Kwame1,Rubab Momna1,Ju Hum Hun4,Rallabandi Harikrishna Reddy1,Madar Inamul Hasan5,Sultan Ghazala6,Oh Deog Hwan1ORCID

Affiliation:

1. Department of Food Science and Biotechnology, College of Agriculture and Life Sciences, Kangwon National University, Chuncheon, Gangwon-do 24341, Korea

2. Department of Biotechnology, University of Malakand, Khyber Pakhtunkhwa Pakistan

3. Guangdong Provincial Key Laboratory of Aquatic Product Processing and Safety, College of Food Science and Technology, Guangdong Ocean University, Zhanjiang 524088, China

4. Department of Biological Environment, College of Agriculture and Life Sciences, Kangwon National University, Chuncheon, Gangwon-do 24341, Korea

5. Department of Biochemistry, School of Life Science, Bharathidasan, University, Thiruchirappalli, Tamilnadu, India

6. Department of Computer Science, Aligarh Muslim University, Aligarh, Uttar Pradesh, 202002, India

Abstract

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.

Funder

Department of Food Science and Biotechnology

Kangwon Institute of Inclusive Technology

Kangwon National University

Publisher

Oxford University Press (OUP)

Subject

Molecular Biology,Information Systems

Reference166 articles.

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