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REVIEW article

Front. Microbiol.
Sec. Systems Microbiology
Volume 15 - 2024 | doi: 10.3389/fmicb.2024.1509117

Advances in Multi-Omics Integrated Analysis Methods Based on the Gut Microbiome and Their Applications

Provisionally accepted
DongDong Duan DongDong Duan 1Mingyu Wang Mingyu Wang 1Han Jinyi Han Jinyi 1Mengyu Li Mengyu Li 1*Zhenyu Wang Zhenyu Wang 2*Shen Ping Zhou Shen Ping Zhou 1Wenshui Xin Wenshui Xin 1Xinjian Li Xinjian Li 1,3*
  • 1 Sanya Institute, Hainan Academy of Agricultural, Sanya, China
  • 2 Hainan Academy of Agricultural Sciences, Haikou, China
  • 3 College of Animal Science and Technology, Henan Agricultural University, Zhengzhou, Henan Province, China

The final, formatted version of the article will be published soon.

    The gut microbiota actually shares the host's physical space and affects the host's physiological functions and health indicators through a complex network of interactions with the host. However, its role as a determinant of host health and disease is often underestimated. With the emergence of new technologies including next-generation sequencing (NGS) and advanced techniques such as microbial community sequencing, people have begun to explore the interaction mechanisms between microorganisms and hosts at various omics levels such as genomics, transcriptomics, metabolomics, and proteomics. With the enrichment of multi-omics integrated analysis methods based on the microbiome, an increasing number of complex statistical analysis methods have also been proposed. In this review, we summarized the multi-omics research analysis methods currently used to study the interaction between the microbiome and the host. We analyzed the advantages and limitations of various methods and briefly introduced their application progress.

    Keywords: multi-omics integrated analysis, intestinal microbiota, Host genome, Metabolome, mGWAS

    Received: 10 Oct 2024; Accepted: 13 Dec 2024.

    Copyright: © 2024 Duan, Wang, Jinyi, Li, Wang, Zhou, Xin and Li. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence:
    Mengyu Li, Sanya Institute, Hainan Academy of Agricultural, Sanya, China
    Zhenyu Wang, Hainan Academy of Agricultural Sciences, Haikou, China
    Xinjian Li, Sanya Institute, Hainan Academy of Agricultural, Sanya, China

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.