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Microbial coexistence through chemical-mediated interactions.
Niehaus, Lori; Boland, Ian; Liu, Minghao; Chen, Kevin; Fu, David; Henckel, Catherine; Chaung, Kaitlin; Miranda, Suyen Espinoza; Dyckman, Samantha; Crum, Matthew; Dedrick, Sandra; Shou, Wenying; Momeni, Babak.
Afiliación
  • Niehaus L; Department of Biology, Boston College, Chestnut Hill, MA, 02467, USA.
  • Boland I; Department of Biology, Boston College, Chestnut Hill, MA, 02467, USA.
  • Liu M; Department of Computer Science, Boston College, Chestnut Hill, MA, 02467, USA.
  • Chen K; Department of Biology, Boston College, Chestnut Hill, MA, 02467, USA.
  • Fu D; Department of Biology, Boston College, Chestnut Hill, MA, 02467, USA.
  • Henckel C; Department of Biology, Boston College, Chestnut Hill, MA, 02467, USA.
  • Chaung K; Department of Biology, Boston College, Chestnut Hill, MA, 02467, USA.
  • Miranda SE; Department of Biology, Boston College, Chestnut Hill, MA, 02467, USA.
  • Dyckman S; Department of Biology, Boston College, Chestnut Hill, MA, 02467, USA.
  • Crum M; Department of Biology, Boston College, Chestnut Hill, MA, 02467, USA.
  • Dedrick S; Department of Biology, Boston College, Chestnut Hill, MA, 02467, USA.
  • Shou W; Division of Basic Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, 98109, USA.
  • Momeni B; Department of Biology, Boston College, Chestnut Hill, MA, 02467, USA. momeni@bc.edu.
Nat Commun ; 10(1): 2052, 2019 05 03.
Article en En | MEDLINE | ID: mdl-31053707
Many microbial functions happen within communities of interacting species. Explaining how species with disparate growth rates can coexist is important for applications such as manipulating host-associated microbiota or engineering industrial communities. Here, we ask how microbes interacting through their chemical environment can achieve coexistence in a continuous growth setup (similar to an industrial bioreactor or gut microbiota) where external resources are being supplied. We formulate and experimentally constrain a model in which mediators of interactions (e.g. metabolites or waste-products) are explicitly incorporated. Our model highlights facilitation and self-restraint as interactions that contribute to coexistence, consistent with our intuition. When interactions are strong, we observe that coexistence is determined primarily by the topology of facilitation and inhibition influences not their strengths. Importantly, we show that consumption or degradation of chemical mediators moderates interaction strengths and promotes coexistence. Our results offer insights into how to build or restructure microbial communities of interest.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Interacciones Microbianas / Microbiota / Modelos Biológicos Idioma: En Revista: Nat Commun Asunto de la revista: BIOLOGIA / CIENCIA Año: 2019 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Interacciones Microbianas / Microbiota / Modelos Biológicos Idioma: En Revista: Nat Commun Asunto de la revista: BIOLOGIA / CIENCIA Año: 2019 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Reino Unido