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A new genomic blueprint of the human gut microbiota

Author

Listed:
  • Alexandre Almeida

    (European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus
    Wellcome Sanger Institute, Wellcome Genome Campus)

  • Alex L. Mitchell

    (European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus)

  • Miguel Boland

    (European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus)

  • Samuel C. Forster

    (Wellcome Sanger Institute, Wellcome Genome Campus
    Hudson Institute of Medical Research
    Monash University)

  • Gregory B. Gloor

    (University of Western Ontario)

  • Aleksandra Tarkowska

    (European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus)

  • Trevor D. Lawley

    (Wellcome Sanger Institute, Wellcome Genome Campus)

  • Robert D. Finn

    (European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus)

Abstract

The composition of the human gut microbiota is linked to health and disease, but knowledge of individual microbial species is needed to decipher their biological roles. Despite extensive culturing and sequencing efforts, the complete bacterial repertoire of the human gut microbiota remains undefined. Here we identify 1,952 uncultured candidate bacterial species by reconstructing 92,143 metagenome-assembled genomes from 11,850 human gut microbiomes. These uncultured genomes substantially expand the known species repertoire of the collective human gut microbiota, with a 281% increase in phylogenetic diversity. Although the newly identified species are less prevalent in well-studied populations compared to reference isolate genomes, they improve classification of understudied African and South American samples by more than 200%. These candidate species encode hundreds of newly identified biosynthetic gene clusters and possess a distinctive functional capacity that might explain their elusive nature. Our work expands the known diversity of uncultured gut bacteria, which provides unprecedented resolution for taxonomic and functional characterization of the intestinal microbiota.

Suggested Citation

  • Alexandre Almeida & Alex L. Mitchell & Miguel Boland & Samuel C. Forster & Gregory B. Gloor & Aleksandra Tarkowska & Trevor D. Lawley & Robert D. Finn, 2019. "A new genomic blueprint of the human gut microbiota," Nature, Nature, vol. 568(7753), pages 499-504, April.
  • Handle: RePEc:nat:nature:v:568:y:2019:i:7753:d:10.1038_s41586-019-0965-1
    DOI: 10.1038/s41586-019-0965-1
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    Cited by:

    1. Shuqin Zeng & Dhrati Patangia & Alexandre Almeida & Zhemin Zhou & Dezhi Mu & R. Paul Ross & Catherine Stanton & Shaopu Wang, 2022. "A compendium of 32,277 metagenome-assembled genomes and over 80 million genes from the early-life human gut microbiome," Nature Communications, Nature, vol. 13(1), pages 1-15, December.
    2. Mingyue Cheng & Shuai Luo & Peng Zhang & Guangzhou Xiong & Kai Chen & Chuanqi Jiang & Fangdian Yang & Hanhui Huang & Pengshuo Yang & Guanxi Liu & Yuhao Zhang & Sang Ba & Ping Yin & Jie Xiong & Wei Mia, 2024. "A genome and gene catalog of the aquatic microbiomes of the Tibetan Plateau," Nature Communications, Nature, vol. 15(1), pages 1-13, December.
    3. Bin Ma & Caiyu Lu & Yiling Wang & Jingwen Yu & Kankan Zhao & Ran Xue & Hao Ren & Xiaofei Lv & Ronghui Pan & Jiabao Zhang & Yongguan Zhu & Jianming Xu, 2023. "A genomic catalogue of soil microbiomes boosts mining of biodiversity and genetic resources," Nature Communications, Nature, vol. 14(1), pages 1-14, December.
    4. Li Zhang & Karen R. Jonscher & Zuyuan Zhang & Yi Xiong & Ryan S. Mueller & Jacob E. Friedman & Chongle Pan, 2022. "Islet autoantibody seroconversion in type-1 diabetes is associated with metagenome-assembled genomes in infant gut microbiomes," Nature Communications, Nature, vol. 13(1), pages 1-14, December.
    5. Jae-Chang Cho, 2021. "Human microbiome privacy risks associated with summary statistics," PLOS ONE, Public Library of Science, vol. 16(4), pages 1-11, April.
    6. Ying-Li Zhou & Paraskevi Mara & Guo-Jie Cui & Virginia P. Edgcomb & Yong Wang, 2022. "Microbiomes in the Challenger Deep slope and bottom-axis sediments," Nature Communications, Nature, vol. 13(1), pages 1-13, December.
    7. Fiona B. Tamburini & Dylan Maghini & Ovokeraye H. Oduaran & Ryan Brewster & Michaella R. Hulley & Venesa Sahibdeen & Shane A. Norris & Stephen Tollman & Kathleen Kahn & Ryan G. Wagner & Alisha N. Wade, 2022. "Short- and long-read metagenomics of urban and rural South African gut microbiomes reveal a transitional composition and undescribed taxa," Nature Communications, Nature, vol. 13(1), pages 1-18, December.
    8. Sigal Leviatan & Saar Shoer & Daphna Rothschild & Maria Gorodetski & Eran Segal, 2022. "An expanded reference map of the human gut microbiome reveals hundreds of previously unknown species," Nature Communications, Nature, vol. 13(1), pages 1-14, December.
    9. Chiranjib Chakraborty & Ashish Ranjan Sharma & Garima Sharma & Manojit Bhattacharya & Sang-Soo Lee, 2023. "Exploring the status of global terrestrial and aquatic microbial diversity through ‘Biodiversity Informatics’," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(10), pages 10567-10598, October.
    10. Candice R. Gurbatri & Georgette A. Radford & Laura Vrbanac & Jongwon Im & Elaine M. Thomas & Courtney Coker & Samuel R. Taylor & YoungUk Jang & Ayelet Sivan & Kyu Rhee & Anas A. Saleh & Tiffany Chien , 2024. "Engineering tumor-colonizing E. coli Nissle 1917 for detection and treatment of colorectal neoplasia," Nature Communications, Nature, vol. 15(1), pages 1-13, December.
    11. Chan Yeong Kim & Junyeong Ma & Insuk Lee, 2022. "HiFi metagenomic sequencing enables assembly of accurate and complete genomes from human gut microbiota," Nature Communications, Nature, vol. 13(1), pages 1-11, December.
    12. Can Chen & Chen Liao & Yang-Yu Liu, 2023. "Teasing out missing reactions in genome-scale metabolic networks through hypergraph learning," Nature Communications, Nature, vol. 14(1), pages 1-11, December.
    13. Shaojun Pan & Chengkai Zhu & Xing-Ming Zhao & Luis Pedro Coelho, 2022. "A deep siamese neural network improves metagenome-assembled genomes in microbiome datasets across different environments," Nature Communications, Nature, vol. 13(1), pages 1-12, December.

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