Articles producció científica> Enginyeria Química

Stochastic block models reveal a robust nested pattern in healthy human gut microbiomes

  • Datos identificativos

    Identificador: imarina:9280069
    Autores:
    Cobo-López, SergioGupta, Vinod KSung, JaeyunGuimerà, RogerSales-Pardo, Marta
    Resumen:
    Abstract A key question in human gut microbiome research is what are the robust structural patterns underlying its taxonomic composition. Herein, we use whole metagenomic datasets from healthy human guts to show that such robust patterns do exist, albeit not in the conventional enterotype sense. We first introduce the concept of mixed-membership enterotypes using a network inference approach based on stochastic block models. We find that gut microbiomes across a group of people (hosts) display a nested structure, which has been observed in a number of ecological systems. This finding led us to designate distinct ecological roles to both microbes and hosts: generalists and specialists. Specifically, generalist hosts have microbiomes with most microbial species, while specialist hosts only have generalist microbes. Moreover, specialist microbes are only present in generalist hosts. From the nested structure of microbial taxonomies, we show that these ecological roles of microbes are generally conserved across datasets. Our results show that the taxonomic composition of healthy human gut microbiomes is associated with robustly structured combinations of generalist and specialist species.
  • Otros:

    Autor según el artículo: Cobo-López, Sergio; Gupta, Vinod K; Sung, Jaeyun; Guimerà, Roger; Sales-Pardo, Marta
    Departamento: Enginyeria Química
    Autor/es de la URV: Cobo Lopez, Sergio / Guimera Manrique, Roger / Sales Pardo, Marta
    Palabras clave: Stochastic block models Statistical inference Nestedness Human microbiome Ecological networks
    Resumen: Abstract A key question in human gut microbiome research is what are the robust structural patterns underlying its taxonomic composition. Herein, we use whole metagenomic datasets from healthy human guts to show that such robust patterns do exist, albeit not in the conventional enterotype sense. We first introduce the concept of mixed-membership enterotypes using a network inference approach based on stochastic block models. We find that gut microbiomes across a group of people (hosts) display a nested structure, which has been observed in a number of ecological systems. This finding led us to designate distinct ecological roles to both microbes and hosts: generalists and specialists. Specifically, generalist hosts have microbiomes with most microbial species, while specialist hosts only have generalist microbes. Moreover, specialist microbes are only present in generalist hosts. From the nested structure of microbial taxonomies, we show that these ecological roles of microbes are generally conserved across datasets. Our results show that the taxonomic composition of healthy human gut microbiomes is associated with robustly structured combinations of generalist and specialist species.
    Áreas temáticas: Social sciences, interdisciplinary Multidisciplinary sciences Multidisciplinary
    Acceso a la licencia de uso: https://creativecommons.org/licenses/by/3.0/es/
    Direcció de correo del autor: sergio.cobo@urv.cat roger.guimera@urv.cat marta.sales@urv.cat
    Identificador del autor: 0000-0002-3597-4310 0000-0002-8140-6525
    Fecha de alta del registro: 2024-10-19
    Versión del articulo depositado: info:eu-repo/semantics/publishedVersion
    URL Documento de licencia: https://repositori.urv.cat/ca/proteccio-de-dades/
    Referencia al articulo segun fuente origial: Pnas Nexus. 1 (3): pgac055-
    Referencia de l'ítem segons les normes APA: Cobo-López, Sergio; Gupta, Vinod K; Sung, Jaeyun; Guimerà, Roger; Sales-Pardo, Marta (2022). Stochastic block models reveal a robust nested pattern in healthy human gut microbiomes. Pnas Nexus, 1(3), pgac055-. DOI: 10.1093/pnasnexus/pgac055
    Entidad: Universitat Rovira i Virgili
    Año de publicación de la revista: 2022
    Tipo de publicación: Journal Publications
  • Palabras clave:

    Multidisciplinary Sciences,Social Sciences, Interdisciplinary
    Stochastic block models
    Statistical inference
    Nestedness
    Human microbiome
    Ecological networks
    Social sciences, interdisciplinary
    Multidisciplinary sciences
    Multidisciplinary
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