Metagenomics and artificial intelligence in the context of human health

Atif Khurshid Wani, Priyanka Roy, Vijay Kumar, Tahir ul Gani Mir

Research output: Contribution to journalReview articlepeer-review

29 Scopus citations

Abstract

Human microbiome is ubiquitous, dynamic, and site-specific consortia of microbial communities. The pathogenic nature of microorganisms within human tissues has led to an increase in microbial studies. Characterization of genera, like Streptococcus, Cutibacterium, Staphylococcus, Bifidobacterium, Lactococcus and Lactobacillus through culture-dependent and culture-independent techniques has been reported. However, due to the unique environment within human tissues, it is difficult to culture these microorganisms making their molecular studies strenuous. MGs offer a gateway to explore and characterize hidden microbial communities through a culture-independent mode by direct DNA isolation. By function and sequence-based MGs, Scientists can explore the mechanistic details of numerous microbes and their interaction with the niche. Since the data generated from MGs studies is highly complex and multi-dimensional, it requires accurate analytical tools to evaluate and interpret the data. Artificial intelligence (AI) provides the luxury to automatically learn the data dimensionality and ease its complexity that makes the disease diagnosis and disease response easy, accurate and timely. This review provides insight into the human microbiota and its exploration and expansion through MG studies. The review elucidates the significance of MGs in studying the changing microbiota during disease conditions besides highlighting the role of AI in computational analysis of MG data.

Original languageEnglish
Article number105267
JournalInfection, Genetics and Evolution
Volume100
DOIs
StatePublished - Jun 2022
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2022

Funding

The authors/co-authors are thankful to the National Institute of Food Technology Entrepreneurship and Management (NIFTEM), Kundli, Sonipat, Haryana-131028, and School of Bioengineering and Biosciences, Lovely Professional University, Punjab (144411), India for supporting this project by providing necessary facilities.

FundersFunder number
National Institute of Food Technology Entrepreneurship and Management
School of Bioengineering and Biosciences
Lovely Professional University144411

    Keywords

    • Artificial intelligence
    • Diseases
    • Human health
    • Metagenomics
    • Microbiome

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