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Context-dependent dynamics lead to the assembly of functionally distinct microbial communities

Author

Listed:
  • Leonora S. Bittleston

    (Massachusetts Institute of Technology (MIT)
    Boise State University)

  • Matti Gralka

    (Massachusetts Institute of Technology (MIT))

  • Gabriel E. Leventhal

    (Massachusetts Institute of Technology (MIT))

  • Itzhak Mizrahi

    (Ben-Gurion University of the Negev)

  • Otto X. Cordero

    (Massachusetts Institute of Technology (MIT))

Abstract

Niche construction through interspecific interactions can condition future community states on past ones. However, the extent to which such history dependency can steer communities towards functionally different states remains a subject of active debate. Using bacterial communities collected from wild pitchers of the carnivorous pitcher plant, Sarracenia purpurea, we test the effects of history on composition and function across communities assembled in synthetic pitcher plant microcosms. We find that the diversity of assembled communities is determined by the diversity of the system at early, pre-assembly stages. Species composition is also contingent on early community states, not only because of differences in the species pool, but also because the same species have different dynamics in different community contexts. Importantly, compositional differences are proportional to differences in function, as profiles of resource use are strongly correlated with composition, despite convergence in respiration rates. Early differences in community structure can thus propagate to mature communities, conditioning their functional repertoire.

Suggested Citation

  • Leonora S. Bittleston & Matti Gralka & Gabriel E. Leventhal & Itzhak Mizrahi & Otto X. Cordero, 2020. "Context-dependent dynamics lead to the assembly of functionally distinct microbial communities," Nature Communications, Nature, vol. 11(1), pages 1-10, December.
  • Handle: RePEc:nat:natcom:v:11:y:2020:i:1:d:10.1038_s41467-020-15169-0
    DOI: 10.1038/s41467-020-15169-0
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    Cited by:

    1. Guy Amit & Amir Bashan, 2023. "Top-down identification of keystone taxa in the microbiome," Nature Communications, Nature, vol. 14(1), pages 1-12, December.

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