IDEAS home Printed from https://ideas.repec.org/a/plo/pcbi00/1000798.html
   My bibliography  Save this article

Expansion of the Protein Repertoire in Newly Explored Environments: Human Gut Microbiome Specific Protein Families

Author

Listed:
  • Kyle Ellrott
  • Lukasz Jaroszewski
  • Weizhong Li
  • John C Wooley
  • Adam Godzik

Abstract

The microbes that inhabit particular environments must be able to perform molecular functions that provide them with a competitive advantage to thrive in those environments. As most molecular functions are performed by proteins and are conserved between related proteins, we can expect that organisms successful in a given environmental niche would contain protein families that are specific for functions that are important in that environment. For instance, the human gut is rich in polysaccharides from the diet or secreted by the host, and is dominated by Bacteroides, whose genomes contain highly expanded repertoire of protein families involved in carbohydrate metabolism. To identify other protein families that are specific to this environment, we investigated the distribution of protein families in the currently available human gut genomic and metagenomic data. Using an automated procedure, we identified a group of protein families strongly overrepresented in the human gut. These not only include many families described previously but also, interestingly, a large group of previously unrecognized protein families, which suggests that we still have much to discover about this environment. The identification and analysis of these families could provide us with new information about an environment critical to our health and well being.Author Summary: Metagenomics provides a unique opportunity to sample the gene content of microbial communities adapted to specific environments and for the study of the correlations between the presence or absence of gene families that occur in organisms within that environment. Such studies provide detailed information about the adaptation of microbes to a given environment and, indirectly, provide clues about the most important molecular processes that are specific for that environment. Having performed such an analysis for the community of the human distal gut, we report many new protein families and identify many others that are highly specific for this particular environment. The function of most of these proteins is unknown, which illustrates the extent of our ignorance about the organisms within this environment that are so important for human health and well being.

Suggested Citation

  • Kyle Ellrott & Lukasz Jaroszewski & Weizhong Li & John C Wooley & Adam Godzik, 2010. "Expansion of the Protein Repertoire in Newly Explored Environments: Human Gut Microbiome Specific Protein Families," PLOS Computational Biology, Public Library of Science, vol. 6(6), pages 1-11, June.
  • Handle: RePEc:plo:pcbi00:1000798
    DOI: 10.1371/journal.pcbi.1000798
    as

    Download full text from publisher

    File URL: https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1000798
    Download Restriction: no

    File URL: https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1000798&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pcbi.1000798?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Peter J. Turnbaugh & Ruth E. Ley & Micah Hamady & Claire M. Fraser-Liggett & Rob Knight & Jeffrey I. Gordon, 2007. "The Human Microbiome Project," Nature, Nature, vol. 449(7164), pages 804-810, October.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Shilan Li & Jianxin Shi & Paul Albert & Hong-Bin Fang, 2022. "Dependence Structure Analysis and Its Application in Human Microbiome," Mathematics, MDPI, vol. 11(1), pages 1-14, December.
    2. Daphna Rothschild & Erez Dekel & Jean Hausser & Anat Bren & Guy Aidelberg & Pablo Szekely & Uri Alon, 2014. "Linear Superposition and Prediction of Bacterial Promoter Activity Dynamics in Complex Conditions," PLOS Computational Biology, Public Library of Science, vol. 10(5), pages 1-9, May.
    3. 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.
    4. Pirjo Wacklin & Harri Mäkivuokko & Noora Alakulppi & Janne Nikkilä & Heli Tenkanen & Jarkko Räbinä & Jukka Partanen & Kari Aranko & Jaana Mättö, 2011. "Secretor Genotype (FUT2 gene) Is Strongly Associated with the Composition of Bifidobacteria in the Human Intestine," PLOS ONE, Public Library of Science, vol. 6(5), pages 1-10, May.
    5. Yee Sang Wong & Nicholas John Osborne, 2022. "Biodiversity Effects on Human Mental Health via Microbiota Alterations," IJERPH, MDPI, vol. 19(19), pages 1-13, September.
    6. Weiyue Ji & Handuo Shi & Haoqian Zhang & Rui Sun & Jingyi Xi & Dingqiao Wen & Jingchen Feng & Yiwei Chen & Xiao Qin & Yanrong Ma & Wenhan Luo & Linna Deng & Hanchi Lin & Ruofan Yu & Qi Ouyang, 2013. "A Formalized Design Process for Bacterial Consortia That Perform Logic Computing," PLOS ONE, Public Library of Science, vol. 8(2), pages 1-9, February.
    7. Disha Tandon & Mohammed Monzoorul Haque & Sharmila S Mande, 2016. "Inferring Intra-Community Microbial Interaction Patterns from Metagenomic Datasets Using Associative Rule Mining Techniques," PLOS ONE, Public Library of Science, vol. 11(4), pages 1-16, April.
    8. Eric Z. Chen & Frederic D. Bushman & Hongzhe Li, 2017. "A Model-Based Approach for Species Abundance Quantification Based on Shotgun Metagenomic Data," Statistics in Biosciences, Springer;International Chinese Statistical Association, vol. 9(1), pages 13-27, June.
    9. Zhenqiu Liu & Dechang Chen & Li Sheng & Amy Y Liu, 2013. "Class Prediction and Feature Selection with Linear Optimization for Metagenomic Count Data," PLOS ONE, Public Library of Science, vol. 8(3), pages 1-7, March.
    10. Charles K Fisher & Thierry Mora & Aleksandra M Walczak, 2017. "Variable habitat conditions drive species covariation in the human microbiota," PLOS Computational Biology, Public Library of Science, vol. 13(4), pages 1-18, April.
    11. Bahareh Mansoorian & Emilie Combet & Areej Alkhaldy & Ada L. Garcia & Christine Ann Edwards, 2019. "Impact of Fermentable Fibres on the Colonic Microbiota Metabolism of Dietary Polyphenols Rutin and Quercetin," IJERPH, MDPI, vol. 16(2), pages 1-12, January.
    12. Ran Li & Yongming Wang & Han Hu & Yan Tan & Yingfei Ma, 2022. "Metagenomic analysis reveals unexplored diversity of archaeal virome in the human gut," Nature Communications, Nature, vol. 13(1), pages 1-12, December.
    13. Matthew D. Koslovsky, 2023. "A Bayesian zero‐inflated Dirichlet‐multinomial regression model for multivariate compositional count data," Biometrics, The International Biometric Society, vol. 79(4), pages 3239-3251, December.
    14. Jake M. Robinson & Jacob G. Mills & Martin F. Breed, 2018. "Walking Ecosystems in Microbiome-Inspired Green Infrastructure: An Ecological Perspective on Enhancing Personal and Planetary Health," Challenges, MDPI, vol. 9(2), pages 1-15, November.
    15. Patricio S La Rosa & J Paul Brooks & Elena Deych & Edward L Boone & David J Edwards & Qin Wang & Erica Sodergren & George Weinstock & William D Shannon, 2012. "Hypothesis Testing and Power Calculations for Taxonomic-Based Human Microbiome Data," PLOS ONE, Public Library of Science, vol. 7(12), pages 1-13, December.
    16. Xinhui Wang & Marinus J C Eijkemans & Jacco Wallinga & Giske Biesbroek & Krzysztof Trzciński & Elisabeth A M Sanders & Debby Bogaert, 2012. "Multivariate Approach for Studying Interactions between Environmental Variables and Microbial Communities," PLOS ONE, Public Library of Science, vol. 7(11), pages 1-7, November.
    17. Barbara Emmenegger & Julien Massoni & Christine M. Pestalozzi & Miriam Bortfeld-Miller & Benjamin A. Maier & Julia A. Vorholt, 2023. "Identifying microbiota community patterns important for plant protection using synthetic communities and machine learning," Nature Communications, Nature, vol. 14(1), pages 1-15, December.
    18. Margaret Coleman & Christopher Elkins & Bradford Gutting & Emmanuel Mongodin & Gloria Solano‐Aguilar & Isabel Walls, 2018. "Microbiota and Dose Response: Evolving Paradigm of Health Triangle," Risk Analysis, John Wiley & Sons, vol. 38(10), pages 2013-2028, October.
    19. Liangliang Zhang & Yushu Shi & Robert R. Jenq & Kim‐Anh Do & Christine B. Peterson, 2021. "Bayesian compositional regression with structured priors for microbiome feature selection," Biometrics, The International Biometric Society, vol. 77(3), pages 824-838, September.
    20. Sarah L Hagerty & Kent E Hutchison & Christopher A Lowry & Angela D Bryan, 2020. "An empirically derived method for measuring human gut microbiome alpha diversity: Demonstrated utility in predicting health-related outcomes among a human clinical sample," PLOS ONE, Public Library of Science, vol. 15(3), pages 1-21, March.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pcbi00:1000798. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: ploscompbiol (email available below). General contact details of provider: https://journals.plos.org/ploscompbiol/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.