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Short- and long-read metagenomics expand individualized structural variations in gut microbiomes

Author

Listed:
  • Liang Chen

    (Chinese Academy of Sciences)

  • Na Zhao

    (Chinese Academy of Sciences)

  • Jiabao Cao

    (Chinese Academy of Sciences
    University of Chinese Academy of Sciences)

  • Xiaolin Liu

    (Chinese Academy of Sciences
    University of Chinese Academy of Sciences)

  • Jiayue Xu

    (Chinese Academy of Sciences)

  • Yue Ma

    (Chinese Academy of Sciences)

  • Ying Yu

    (Chinese Academy of Sciences
    University of Chinese Academy of Sciences)

  • Xuan Zhang

    (Chinese Academy of Sciences)

  • Wenhui Zhang

    (Chinese Academy of Sciences)

  • Xiangyu Guan

    (Chinese Academy of Sciences)

  • Xiaotong Yu

    (China Academy of Chinese Medical Sciences)

  • Zhipeng Liu

    (Biotree-Shanghai)

  • Yanqun Fan

    (Biotree-Shanghai)

  • Yang Wang

    (GrandOmics Biosciences)

  • Fan Liang

    (GrandOmics Biosciences)

  • Depeng Wang

    (GrandOmics Biosciences)

  • Linhua Zhao

    (China Academy of Chinese Medical Sciences)

  • Moshi Song

    (University of Chinese Academy of Sciences
    Chinese Academy of Sciences
    Chinese Academy of Sciences
    Beijing Institute for Stem Cell and Regenerative Medicine)

  • Jun Wang

    (Chinese Academy of Sciences
    University of Chinese Academy of Sciences)

Abstract

In-depth profiling of genetic variations in the gut microbiome is highly desired for understanding its functionality and impacts on host health and disease. Here, by harnessing the long read advantage provided by Oxford Nanopore Technology (ONT), we characterize fine-scale genetic variations of structural variations (SVs) in hundreds of gut microbiomes from healthy humans. ONT long reads dramatically improve the quality of metagenomic assemblies, enable reliable detection of a large, expanded set of structural variation types (notably including large insertions and inversions). We find SVs are highly distinct between individuals and stable within an individual, representing gut microbiome fingerprints that shape strain-level differentiations in function within species, complicating the associations to metabolites and host phenotypes such as blood glucose. In summary, our study strongly emphasizes that incorporating ONT reads into metagenomic analyses expands the detection scope of genetic variations, enables profiling strain-level variations in gut microbiome, and their intricate correlations with metabolome.

Suggested Citation

  • Liang Chen & Na Zhao & Jiabao Cao & Xiaolin Liu & Jiayue Xu & Yue Ma & Ying Yu & Xuan Zhang & Wenhui Zhang & Xiangyu Guan & Xiaotong Yu & Zhipeng Liu & Yanqun Fan & Yang Wang & Fan Liang & Depeng Wang, 2022. "Short- and long-read metagenomics expand individualized structural variations in gut microbiomes," Nature Communications, Nature, vol. 13(1), pages 1-12, December.
  • Handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-30857-9
    DOI: 10.1038/s41467-022-30857-9
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    References listed on IDEAS

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    1. David Zeevi & Tal Korem & Anastasia Godneva & Noam Bar & Alexander Kurilshikov & Maya Lotan-Pompan & Adina Weinberger & Jingyuan Fu & Cisca Wijmenga & Alexandra Zhernakova & Eran Segal, 2019. "Structural variation in the gut microbiome associates with host health," Nature, Nature, vol. 568(7750), pages 43-48, April.
    2. Siegfried Schloissnig & Manimozhiyan Arumugam & Shinichi Sunagawa & Makedonka Mitreva & Julien Tap & Ana Zhu & Alison Waller & Daniel R. Mende & Jens Roat Kultima & John Martin & Karthik Kota & Shamil, 2013. "Genomic variation landscape of the human gut microbiome," Nature, Nature, vol. 493(7430), pages 45-50, January.
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    1. Zhiguang Qiu & Li Yuan & Chun-Ang Lian & Bin Lin & Jie Chen & Rong Mu & Xuejiao Qiao & Liyu Zhang & Zheng Xu & Lu Fan & Yunzeng Zhang & Shanquan Wang & Junyi Li & Huiluo Cao & Bing Li & Baowei Chen & , 2024. "BASALT refines binning from metagenomic data and increases resolution of genome-resolved metagenomic analysis," Nature Communications, Nature, vol. 15(1), pages 1-13, December.

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