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Origin of biogeographically distinct ecotypes during laboratory evolution

Author

Listed:
  • Jacob J. Valenzuela

    (Institute for Systems Biology)

  • Selva Rupa Christinal Immanuel

    (Institute for Systems Biology)

  • James Wilson

    (Institute for Systems Biology)

  • Serdar Turkarslan

    (Institute for Systems Biology)

  • Maryann Ruiz

    (Institute for Systems Biology)

  • Sean M. Gibbons

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

  • Kristopher A. Hunt

    (University of Washington)

  • Nejc Stopnisek

    (University of Washington)

  • Manfred Auer

    (Southeast University)

  • Marcin Zemla

    (Lawrence Berkeley National Laboratory)

  • David A. Stahl

    (University of Washington)

  • Nitin S. Baliga

    (Institute for Systems Biology
    Lawrence Berkeley National Laboratory
    University of Washington
    University of Washington)

Abstract

Resource partitioning is central to the incredible productivity of microbial communities, including gigatons in annual methane emissions through syntrophic interactions. Previous work revealed how a sulfate reducer (Desulfovibrio vulgaris, Dv) and a methanogen (Methanococcus maripaludis, Mm) underwent evolutionary diversification in a planktonic context, improving stability, cooperativity, and productivity within 300–1000 generations. Here, we show that mutations in just 15 Dv and 7 Mm genes within a minimal assemblage of this evolved community gave rise to co-existing ecotypes that were spatially enriched within a few days of culturing in a fluidized bed reactor. The spatially segregated communities partitioned resources in the simulated subsurface environment, with greater lactate utilization by attached Dv but partial utilization of resulting H2 by low affinity hydrogenases of Mm in the same phase. The unutilized H2 was scavenged by high affinity hydrogenases of planktonic Mm, producing copious amounts of methane. Our findings show how a few mutations can drive resource partitioning amongst niche-differentiated ecotypes, whose interplay synergistically improves productivity of the entire mutualistic community.

Suggested Citation

  • Jacob J. Valenzuela & Selva Rupa Christinal Immanuel & James Wilson & Serdar Turkarslan & Maryann Ruiz & Sean M. Gibbons & Kristopher A. Hunt & Nejc Stopnisek & Manfred Auer & Marcin Zemla & David A. , 2024. "Origin of biogeographically distinct ecotypes during laboratory evolution," Nature Communications, Nature, vol. 15(1), pages 1-14, December.
  • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-51759-y
    DOI: 10.1038/s41467-024-51759-y
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    References listed on IDEAS

    as
    1. Scott A Becker & Bernhard O Palsson, 2008. "Context-Specific Metabolic Networks Are Consistent with Experiments," PLOS Computational Biology, Public Library of Science, vol. 4(5), pages 1-10, May.
    2. Olivier Tenaillon & Jeffrey E. Barrick & Noah Ribeck & Daniel E. Deatherage & Jeffrey L. Blanchard & Aurko Dasgupta & Gabriel C. Wu & Sébastien Wielgoss & Stéphane Cruveiller & Claudine Médigue & Domi, 2016. "Tempo and mode of genome evolution in a 50,000-generation experiment," Nature, Nature, vol. 536(7615), pages 165-170, August.
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