IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v14y2023i1d10.1038_s41467-023-42112-w.html
   My bibliography  Save this article

Disease-specific loss of microbial cross-feeding interactions in the human gut

Author

Listed:
  • Vanessa R. Marcelino

    (Monash University
    Hudson Institute of Medical Research
    University of Melbourne
    University of Melbourne)

  • Caitlin Welsh

    (Biomedicine Discovery Institute)

  • Christian Diener

    (Institute for Systems Biology)

  • Emily L. Gulliver

    (Monash University
    Hudson Institute of Medical Research)

  • Emily L. Rutten

    (Monash University
    Hudson Institute of Medical Research)

  • Remy B. Young

    (Monash University
    Hudson Institute of Medical Research)

  • Edward M. Giles

    (Hudson Institute of Medical Research
    Monash University)

  • Sean M. Gibbons

    (Institute for Systems Biology
    University of Washington
    University of Washington
    University of Washington)

  • Chris Greening

    (Biomedicine Discovery Institute)

  • Samuel C. Forster

    (Monash University
    Hudson Institute of Medical Research)

Abstract

Many gut microorganisms critical to human health rely on nutrients produced by each other for survival; however, these cross-feeding interactions are still challenging to quantify and remain poorly characterized. Here, we introduce a Metabolite Exchange Score (MES) to quantify those interactions. Using metabolic models of prokaryotic metagenome-assembled genomes from over 1600 individuals, MES allows us to identify and rank metabolic interactions that are significantly affected by a loss of cross-feeding partners in 10 out of 11 diseases. When applied to a Crohn’s disease case-control study, our approach identifies a lack of species with the ability to consume hydrogen sulfide as the main distinguishing microbiome feature of disease. We propose that our conceptual framework will help prioritize in-depth analyses, experiments and clinical targets, and that targeting the restoration of microbial cross-feeding interactions is a promising mechanism-informed strategy to reconstruct a healthy gut ecosystem.

Suggested Citation

  • Vanessa R. Marcelino & Caitlin Welsh & Christian Diener & Emily L. Gulliver & Emily L. Rutten & Remy B. Young & Edward M. Giles & Sean M. Gibbons & Chris Greening & Samuel C. Forster, 2023. "Disease-specific loss of microbial cross-feeding interactions in the human gut," Nature Communications, Nature, vol. 14(1), pages 1-11, December.
  • Handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-42112-w
    DOI: 10.1038/s41467-023-42112-w
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-023-42112-w
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1038/s41467-023-42112-w?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. Akshit Goyal & Tong Wang & Veronika Dubinkina & Sergei Maslov, 2021. "Ecology-guided prediction of cross-feeding interactions in the human gut microbiome," Nature Communications, Nature, vol. 12(1), pages 1-10, December.
    2. Florian Rohart & Benoît Gautier & Amrit Singh & Kim-Anh Lê Cao, 2017. "mixOmics: An R package for ‘omics feature selection and multiple data integration," PLOS Computational Biology, Public Library of Science, vol. 13(11), pages 1-19, November.
    3. Liang Tian & Xu-Wen Wang & Ang-Kun Wu & Yuhang Fan & Jonathan Friedman & Amber Dahlin & Matthew K. Waldor & George M. Weinstock & Scott T. Weiss & Yang-Yu Liu, 2020. "Deciphering functional redundancy in the human microbiome," Nature Communications, Nature, vol. 11(1), pages 1-11, December.
    4. Vinod K. Gupta & Minsuk Kim & Utpal Bakshi & Kevin Y. Cunningham & John M. Davis & Konstantinos N. Lazaridis & Heidi Nelson & Nicholas Chia & Jaeyun Sung, 2020. "A predictive index for health status using species-level gut microbiome profiling," Nature Communications, Nature, vol. 11(1), pages 1-16, December.
    5. Jaeyun Sung & Seunghyeon Kim & Josephine Jill T. Cabatbat & Sungho Jang & Yong-Su Jin & Gyoo Yeol Jung & Nicholas Chia & Pan-Jun Kim, 2017. "Global metabolic interaction network of the human gut microbiota for context-specific community-scale analysis," Nature Communications, Nature, vol. 8(1), pages 1-12, August.
    6. Shiri Freilich & Raphy Zarecki & Omer Eilam & Ella Shtifman Segal & Christopher S. Henry & Martin Kupiec & Uri Gophna & Roded Sharan & Eytan Ruppin, 2011. "Competitive and cooperative metabolic interactions in bacterial communities," Nature Communications, Nature, vol. 2(1), pages 1-7, September.
    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. Shengbo Wu & Jie Feng & Chunjiang Liu & Hao Wu & Zekai Qiu & Jianjun Ge & Shuyang Sun & Xia Hong & Yukun Li & Xiaona Wang & Aidong Yang & Fei Guo & Jianjun Qiao, 2022. "Machine learning aided construction of the quorum sensing communication network for human gut microbiota," Nature Communications, Nature, vol. 13(1), pages 1-13, December.
    2. Zihan Wang & Akshit Goyal & Veronika Dubinkina & Ashish B. George & Tong Wang & Yulia Fridman & Sergei Maslov, 2021. "Complementary resource preferences spontaneously emerge in diauxic microbial communities," Nature Communications, Nature, vol. 12(1), pages 1-12, December.
    3. Xianglai Li & Zhao Zhou & Wenna Li & Yajun Yan & Xiaolin Shen & Jia Wang & Xinxiao Sun & Qipeng Yuan, 2022. "Design of stable and self-regulated microbial consortia for chemical synthesis," Nature Communications, Nature, vol. 13(1), pages 1-9, December.
    4. Dmitry Kobak & Yves Bernaerts & Marissa A. Weis & Federico Scala & Andreas S. Tolias & Philipp Berens, 2021. "Sparse reduced‐rank regression for exploratory visualisation of paired multivariate data," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 70(4), pages 980-1000, August.
    5. Rhee, Chaeyoung & Park, Sung-Gwan & Yu, Sung Il & Dalantai, Tergel & Shin, Juhee & Chae, Kyu-Jung & Shin, Seung Gu, 2023. "Mapping microbial dynamics in anaerobic digestion system linked with organic composition of substrates: Protein and lipid," Energy, Elsevier, vol. 275(C).
    6. Nils Giordano & Marinna Gaudin & Camille Trottier & Erwan Delage & Charlotte Nef & Chris Bowler & Samuel Chaffron, 2024. "Genome-scale community modelling reveals conserved metabolic cross-feedings in epipelagic bacterioplankton communities," Nature Communications, Nature, vol. 15(1), pages 1-15, December.
    7. Cemal Erdem & Sean M. Gross & Laura M. Heiser & Marc R. Birtwistle, 2023. "MOBILE pipeline enables identification of context-specific networks and regulatory mechanisms," Nature Communications, Nature, vol. 14(1), pages 1-16, December.
    8. Jordán, Ferenc, 2022. "The network perspective: Vertical connections linking organizational levels," Ecological Modelling, Elsevier, vol. 473(C).
    9. Leyuan Li & Tong Wang & Zhibin Ning & Xu Zhang & James Butcher & Joeselle M. Serrana & Caitlin M. A. Simopoulos & Janice Mayne & Alain Stintzi & David R. Mack & Yang-Yu Liu & Daniel Figeys, 2023. "Revealing proteome-level functional redundancy in the human gut microbiome using ultra-deep metaproteomics," Nature Communications, Nature, vol. 14(1), pages 1-14, December.
    10. Benjamin H. Good & Layton B. Rosenfeld, 2023. "Eco-evolutionary feedbacks in the human gut microbiome," Nature Communications, Nature, vol. 14(1), pages 1-9, December.
    11. Oliver Aasmets & Kertu Liis Krigul & Kreete Lüll & Andres Metspalu & Elin Org, 2022. "Gut metagenome associations with extensive digital health data in a volunteer-based Estonian microbiome cohort," Nature Communications, Nature, vol. 13(1), pages 1-11, December.
    12. Xu-Wen Wang & Yang Hu & Giulia Menichetti & Francine Grodstein & Shilpa N. Bhupathiraju & Qi Sun & Xuehong Zhang & Frank B. Hu & Scott T. Weiss & Yang-Yu Liu, 2023. "Nutritional redundancy in the human diet and its application in phenotype association studies," Nature Communications, Nature, vol. 14(1), pages 1-16, December.
    13. Martin, Manon & Govaerts, Bernadette, 2019. "Feature Selection in metabolomics with PLS-derived methods," LIDAM Discussion Papers ISBA 2019020, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    14. Gaoxiang Zhu & Dengfeng Gao & Linzi Li & Yixuan Yao & Yingjie Wang & Minglei Zhi & Jinying Zhang & Xinze Chen & Qianqian Zhu & Jie Gao & Tianzhi Chen & Xiaowei Zhang & Tong Wang & Suying Cao & Aijin M, 2023. "Generation of three-dimensional meat-like tissue from stable pig epiblast stem cells," Nature Communications, Nature, vol. 14(1), pages 1-15, December.
    15. Tomás Clive Barker-Tejeda & Elisa Zubeldia-Varela & Andrea Macías-Camero & Lola Alonso & Isabel Adoración Martín-Antoniano & María Fernanda Rey-Stolle & Leticia Mera-Berriatua & Raphaëlle Bazire & Pau, 2024. "Comparative characterization of the infant gut microbiome and their maternal lineage by a multi-omics approach," Nature Communications, Nature, vol. 15(1), pages 1-21, December.
    16. Tomas Hessler & Robert J. Huddy & Rohan Sachdeva & Shufei Lei & Susan T. L. Harrison & Spencer Diamond & Jillian F. Banfield, 2023. "Vitamin interdependencies predicted by metagenomics-informed network analyses and validated in microbial community microcosms," Nature Communications, Nature, vol. 14(1), pages 1-12, December.
    17. Itay Mayrose & Shiri Freilich, 2015. "The Interplay between Scientific Overlap and Cooperation and the Resulting Gain in Co-Authorship Interactions," PLOS ONE, Public Library of Science, vol. 10(9), pages 1-10, September.
    18. Gaowen Yang & Masahiro Ryo & Julien Roy & Daniel R. Lammel & Max-Bernhard Ballhausen & Xin Jing & Xuefeng Zhu & Matthias C. Rillig, 2022. "Multiple anthropogenic pressures eliminate the effects of soil microbial diversity on ecosystem functions in experimental microcosms," Nature Communications, Nature, vol. 13(1), pages 1-8, December.
    19. Hannah Voß & Simon Schlumbohm & Philip Barwikowski & Marcus Wurlitzer & Matthias Dottermusch & Philipp Neumann & Hartmut Schlüter & Julia E. Neumann & Christoph Krisp, 2022. "HarmonizR enables data harmonization across independent proteomic datasets with appropriate handling of missing values," Nature Communications, Nature, vol. 13(1), pages 1-15, December.
    20. Chengyao Xia & Yuqiang Zhao & Lei Zhang & Xu Li & Yang Cheng & Dongming Wang & Changsheng Xu & Mengyi Qi & Jihong Wang & Xiangrui Guo & Xianfeng Ye & Yan Huang & Danyu Shen & Daolong Dou & Hui Cao & Z, 2023. "Myxobacteria restrain Phytophthora invasion by scavenging thiamine in soybean rhizosphere via outer membrane vesicle-secreted thiaminase I," Nature Communications, Nature, vol. 14(1), pages 1-16, December.

    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:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-42112-w. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    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.