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Dynamics and associations of microbial community types across the human body

Author

Listed:
  • Tao Ding

    (1500 W. Medical Center, University of Michigan)

  • Patrick D. Schloss

    (1500 W. Medical Center, University of Michigan)

Abstract

The microbiome composition of 300 individuals sampled over 12–18 months was partitioned into microbial community types, which could be associated with the type found at other body sites, as well as with whether individuals were breastfed as an infant, their gender and their level of education.

Suggested Citation

  • Tao Ding & Patrick D. Schloss, 2014. "Dynamics and associations of microbial community types across the human body," Nature, Nature, vol. 509(7500), pages 357-360, May.
    • Handle: RePEc:nat:nature:v:509:y:2014:i:7500:d:10.1038_nature13178
    DOI: 10.1038/nature13178
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    Cited by:

    1. Yunpeng Cai & Wei Zheng & Jin Yao & Yujie Yang & Volker Mai & Qi Mao & Yijun Sun, 2017. "ESPRIT-Forest: Parallel clustering of massive amplicon sequence data in subquadratic time," PLOS Computational Biology, Public Library of Science, vol. 13(4), pages 1-16, April.
    2. Krishnagopal, Sanjukta & Bianconi, Ginestra, 2023. "Topology and dynamics of higher-order multiplex networks," Chaos, Solitons & Fractals, Elsevier, vol. 177(C).
    3. Julien Tap & Franck Lejzerowicz & Aurélie Cotillard & Matthieu Pichaud & Daniel McDonald & Se Jin Song & Rob Knight & Patrick Veiga & Muriel Derrien, 2023. "Global branches and local states of the human gut microbiome define associations with environmental and intrinsic factors," Nature Communications, Nature, vol. 14(1), pages 1-11, December.
    4. Bo-Young Hong & Michel V Furtado Araujo & Linda D Strausbaugh & Evimaria Terzi & Effie Ioannidou & Patricia I Diaz, 2015. "Microbiome Profiles in Periodontitis in Relation to Host and Disease Characteristics," PLOS ONE, Public Library of Science, vol. 10(5), pages 1-14, May.
    5. Na Chen & Lilan Hao & Zhe Zhang & Chenglu Qin & Zhuye Jie & Hongxin Pan & Jiali Duan & Xincheng Huang & Yunhong Zhang & Hongqin Gao & Ruike Lu & Tianshu Sun & Hua Yang & Jinqiu Shi & Maolian Liang & J, 2024. "Insights into the assembly of the neovaginal microbiota in Mayer-Rokitansky-Küster-Hauser (MRKH) syndrome patients," Nature Communications, Nature, vol. 15(1), pages 1-15, December.
    6. C C Lyman & G R Holyoak & K Meinkoth & X Wieneke & K A Chillemi & U DeSilva, 2019. "Canine endometrial and vaginal microbiomes reveal distinct and complex ecosystems," PLOS ONE, Public Library of Science, vol. 14(1), pages 1-17, January.
    7. He-Li Sun & Yuan Feng & Qinge Zhang & Jia-Xin Li & Yue-Ying Wang & Zhaohui Su & Teris Cheung & Todd Jackson & Sha Sha & Yu-Tao Xiang, 2022. "The Microbiome–Gut–Brain Axis and Dementia: A Bibliometric Analysis," IJERPH, MDPI, vol. 19(24), pages 1-14, December.
    8. Sean M Gibbons & Sean M Kearney & Chris S Smillie & Eric J Alm, 2017. "Two dynamic regimes in the human gut microbiome," PLOS Computational Biology, Public Library of Science, vol. 13(2), pages 1-20, February.
    9. Doris Vandeputte & Lindsey Commer & Raul Y. Tito & Gunter Kathagen & João Sabino & Séverine Vermeire & Karoline Faust & Jeroen Raes, 2021. "Temporal variability in quantitative human gut microbiome profiles and implications for clinical research," Nature Communications, Nature, vol. 12(1), pages 1-13, December.
    10. Georges P. Schmartz & Jacqueline Rehner & Madline P. Gund & Verena Keller & Leidy-Alejandra G. Molano & Stefan Rupf & Matthias Hannig & Tim Berger & Elias Flockerzi & Berthold Seitz & Sara Fleser & Sa, 2024. "Decoding the diagnostic and therapeutic potential of microbiota using pan-body pan-disease microbiomics," Nature Communications, Nature, vol. 15(1), pages 1-13, December.
    11. Rajita Menon & Vivek Ramanan & Kirill S Korolev, 2018. "Interactions between species introduce spurious associations in microbiome studies," PLOS Computational Biology, Public Library of Science, vol. 14(1), pages 1-20, January.

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