6
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      From kill the winner to eliminate the winner in open phage-bacteria systems

      research-article
      , , * ,
      PLoS Computational Biology
      Public Library of Science

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Phages and bacteria manage to coexist and sustain ecosystems with a high diversity of strains, despite limited resources and heavy predation. This diversity can be explained by the “kill the winner” model where virulent phages predominantly prey on fast-growing bacteria and thereby suppress the competitive exclusion of slower-growing bacteria. Here we computationally investigate the robustness of these systems against invasions, where new phages or bacteria may interact with more than one of the resident strains. The resulting interaction networks were found to self-organize into a network with strongly interacting specialized predator-prey pairs, resembling that of the “kill the winner” model. Furthermore, the “kill the winner” dynamics is enforced with the occasional elimination of even the fastest-growing bacteria strains due to a phage infecting the fast and slow growers. The frequency of slower-growing strains was increased with the introduction of even a few non-diagonal interactions. Hence, phages capable of infecting multiple hosts play significant roles both in the evolution of the ecosystem by eliminating the winner and in supporting diversity by allowing slow growers to coexist with faster growers.

          Author summary

          We demonstrate that in an open system of phages and bacteria with very limited resources, a bacterial strain that has a high growth rate can still be outcompeted by a slower-growing strain if they have a common phage. The impact of this on ecosystem structure is significant as soon as there is a small probability to have a common phage among bacterial strains. Furthermore, by analysing the structure of the interaction network we show that it self-organizes into a network with strongly interacting specialized predator-prey pairs, in order to reduce phages competition. Nevertheless, the presence of the remaining links is very important for the network dynamics since even a few of them significantly enhance the frequency of slower-growing strains.

          Related collections

          Most cited references38

          • Record: found
          • Abstract: not found
          • Article: not found

          The Paradox of the Plankton

            Bookmark
            • Record: found
            • Abstract: not found
            • Article: not found

            Predation, apparent competition, and the structure of prey communities

              Bookmark
              • Record: found
              • Abstract: not found
              • Book: not found

              The genetical theory of natural selection.

                Bookmark

                Author and article information

                Contributors
                Role: ConceptualizationRole: Formal analysisRole: MethodologyRole: SoftwareRole: ValidationRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: MethodologyRole: SupervisionRole: ValidationRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: Funding acquisitionRole: MethodologyRole: Project administrationRole: ResourcesRole: SupervisionRole: ValidationRole: Writing – original draftRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS Comput Biol
                PLoS Comput Biol
                plos
                PLoS Computational Biology
                Public Library of Science (San Francisco, CA USA )
                1553-734X
                1553-7358
                August 2022
                8 August 2022
                : 18
                : 8
                : e1010400
                Affiliations
                [001] Center for Models of Life, Niels Bohr Institute, University of Copenhagen, Copenhagen, Denmark
                University of Chicago, UNITED STATES
                Author notes

                The authors have declared that no competing interests exist.

                Author information
                https://orcid.org/0000-0002-5831-8578
                https://orcid.org/0000-0001-9820-3567
                Article
                PCOMPBIOL-D-22-00307
                10.1371/journal.pcbi.1010400
                9387927
                35939510
                ea7689a0-9b34-44db-b844-0e4598101ede
                © 2022 Marantos et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 28 February 2022
                : 17 July 2022
                Page count
                Figures: 5, Tables: 0, Pages: 15
                Funding
                Funded by: funder-id http://dx.doi.org/10.13039/501100000781, European Research Council;
                Award ID: 740704
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/501100009708, Novo Nordisk Fonden;
                Award ID: NNF21OC0068775
                Award Recipient :
                AM and KS have received funding and salary from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation program under grant agreement No. 740704 https://erc.europa.eu/ and NM has received funding from the Novo Nordisk Foundation (NNF21OC0068775). https://www.novonordisk.com/ The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Biology and Life Sciences
                Organisms
                Viruses
                Bacteriophages
                Biology and Life Sciences
                Organisms
                Bacteria
                Marine Bacteria
                Biology and Life Sciences
                Ecology
                Ecosystems
                Microbial Ecosystems
                Ecology and Environmental Sciences
                Ecology
                Ecosystems
                Microbial Ecosystems
                Biology and Life Sciences
                Ecology
                Community Ecology
                Trophic Interactions
                Predation
                Ecology and Environmental Sciences
                Ecology
                Community Ecology
                Trophic Interactions
                Predation
                Biology and Life Sciences
                Microbiology
                Bacteriology
                Bacterial Evolution
                Biology and Life Sciences
                Microbiology
                Microbial Evolution
                Bacterial Evolution
                Biology and Life Sciences
                Evolutionary Biology
                Organismal Evolution
                Microbial Evolution
                Bacterial Evolution
                Biology and Life Sciences
                Molecular Biology
                Interaction Networks
                Biology and Life Sciences
                Microbiology
                Microbial Evolution
                Biology and Life Sciences
                Evolutionary Biology
                Organismal Evolution
                Microbial Evolution
                Biology and Life Sciences
                Organisms
                Bacteria
                Custom metadata
                vor-update-to-uncorrected-proof
                2022-08-18
                All code and data are available at GitHub: ( https://github.com/TassosMar/Eliminate-the-Winner).

                Quantitative & Systems biology
                Quantitative & Systems biology

                Comments

                Comment on this article