Advances in multi-omics integrated analysis methods based on the gut microbiome and their applications
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...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2025-01-01
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| Series: | Frontiers in Microbiology |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fmicb.2024.1509117/full |
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| author | Dongdong Duan Mingyu Wang Jinyi Han Mengyu Li Zhenyu Wang Shenping Zhou Wenshui Xin Xinjian Li Xinjian Li |
| author_facet | Dongdong Duan Mingyu Wang Jinyi Han Mengyu Li Zhenyu Wang Shenping Zhou Wenshui Xin Xinjian Li Xinjian Li |
| author_sort | Dongdong Duan |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-d21c0812942b4f80b43d06cc136b3990 |
| institution | Kabale University |
| issn | 1664-302X |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Microbiology |
| spelling | doaj-art-d21c0812942b4f80b43d06cc136b39902025-01-03T06:47:04ZengFrontiers Media S.A.Frontiers in Microbiology1664-302X2025-01-011510.3389/fmicb.2024.15091171509117Advances in multi-omics integrated analysis methods based on the gut microbiome and their applicationsDongdong Duan0Mingyu Wang1Jinyi Han2Mengyu Li3Zhenyu Wang4Shenping Zhou5Wenshui Xin6Xinjian Li7Xinjian Li8Sanya Institute, Hainan Academy of Agricultural, Sanya, ChinaCollege of Animal Sciences and Technology, Henan Agricultural University, Zhengzhou, ChinaSanya Institute, Hainan Academy of Agricultural, Sanya, ChinaSanya Institute, Hainan Academy of Agricultural, Sanya, ChinaSanya Institute, Hainan Academy of Agricultural, Sanya, ChinaSanya Institute, Hainan Academy of Agricultural, Sanya, ChinaSanya Institute, Hainan Academy of Agricultural, Sanya, ChinaSanya Institute, Hainan Academy of Agricultural, Sanya, ChinaCollege of Animal Sciences and Technology, Henan Agricultural University, Zhengzhou, ChinaThe 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.https://www.frontiersin.org/articles/10.3389/fmicb.2024.1509117/fullmulti-omics integrated analysisintestinal microbiotahost genomemetabolomeMGWAS |
| spellingShingle | Dongdong Duan Mingyu Wang Jinyi Han Mengyu Li Zhenyu Wang Shenping Zhou Wenshui Xin Xinjian Li Xinjian Li Advances in multi-omics integrated analysis methods based on the gut microbiome and their applications Frontiers in Microbiology multi-omics integrated analysis intestinal microbiota host genome metabolome MGWAS |
| title | Advances in multi-omics integrated analysis methods based on the gut microbiome and their applications |
| title_full | Advances in multi-omics integrated analysis methods based on the gut microbiome and their applications |
| title_fullStr | Advances in multi-omics integrated analysis methods based on the gut microbiome and their applications |
| title_full_unstemmed | Advances in multi-omics integrated analysis methods based on the gut microbiome and their applications |
| title_short | Advances in multi-omics integrated analysis methods based on the gut microbiome and their applications |
| title_sort | advances in multi omics integrated analysis methods based on the gut microbiome and their applications |
| topic | multi-omics integrated analysis intestinal microbiota host genome metabolome MGWAS |
| url | https://www.frontiersin.org/articles/10.3389/fmicb.2024.1509117/full |
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