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Global epistasis and the emergence of function in microbial consortia.
Diaz-Colunga, Juan; Skwara, Abigail; Vila, Jean C C; Bajic, Djordje; Sanchez, Alvaro.
Afiliación
  • Diaz-Colunga J; Department of Ecology & Evolutionary Biology, Yale University, New Haven, CT 06511, USA; Microbial Sciences Institute, Yale University, New Haven, CT 06511, USA; Department of Microbial Biotechnology, National Center for Biotechnology CNB-CSIC, 28049 Madrid, Spain; Institute of Functional Biolog
  • Skwara A; Department of Ecology & Evolutionary Biology, Yale University, New Haven, CT 06511, USA; Microbial Sciences Institute, Yale University, New Haven, CT 06511, USA.
  • Vila JCC; Department of Ecology & Evolutionary Biology, Yale University, New Haven, CT 06511, USA; Microbial Sciences Institute, Yale University, New Haven, CT 06511, USA; Department of Biology, Stanford University, Stanford, CA 94305, USA.
  • Bajic D; Department of Ecology & Evolutionary Biology, Yale University, New Haven, CT 06511, USA; Microbial Sciences Institute, Yale University, New Haven, CT 06511, USA; Department of Biotechnology, Delft University of Technology, Delft 2628 CD, the Netherlands. Electronic address: d.bajic@tudelft.nl.
  • Sanchez A; Department of Ecology & Evolutionary Biology, Yale University, New Haven, CT 06511, USA; Microbial Sciences Institute, Yale University, New Haven, CT 06511, USA; Department of Microbial Biotechnology, National Center for Biotechnology CNB-CSIC, 28049 Madrid, Spain; Institute of Functional Biolog
Cell ; 187(12): 3108-3119.e30, 2024 Jun 06.
Article en En | MEDLINE | ID: mdl-38776921
ABSTRACT
The many functions of microbial communities emerge from a complex web of interactions between organisms and their environment. This poses a significant obstacle to engineering microbial consortia, hindering our ability to harness the potential of microorganisms for biotechnological applications. In this study, we demonstrate that the collective effect of ecological interactions between microbes in a community can be captured by simple statistical models that predict how adding a new species to a community will affect its function. These predictive models mirror the patterns of global epistasis reported in genetics, and they can be quantitatively interpreted in terms of pairwise interactions between community members. Our results illuminate an unexplored path to quantitatively predicting the function of microbial consortia from their composition, paving the way to optimizing desirable community properties and bringing the tasks of predicting biological function at the genetic, organismal, and ecological scales under the same quantitative formalism.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Microbiología Ambiental / Epistasis Genética / Consorcios Microbianos / Biología Sintética Idioma: En Revista: Cell Año: 2024 Tipo del documento: Article Pais de publicación: Estados Unidos
Texto completo
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Imprimir
XML
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Microbiología Ambiental / Epistasis Genética / Consorcios Microbianos / Biología Sintética Idioma: En Revista: Cell Año: 2024 Tipo del documento: Article Pais de publicación: Estados Unidos