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      Boom-bust population dynamics increase diversity in evolving competitive communities

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          Abstract

          The processes and mechanisms underlying the origin and maintenance of biological diversity have long been of central importance in ecology and evolution. The competitive exclusion principle states that the number of coexisting species is limited by the number of resources, or by the species’ similarity in resource use. Natural systems such as the extreme diversity of unicellular life in the oceans provide counter examples. It is known that mathematical models incorporating population fluctuations can lead to violations of the exclusion principle. Here we use simple eco-evolutionary models to show that a certain type of population dynamics, boom-bust dynamics, can allow for the evolution of much larger amounts of diversity than would be expected with stable equilibrium dynamics. Boom-bust dynamics are characterized by long periods of almost exponential growth (boom) and a subsequent population crash due to competition (bust). When such ecological dynamics are incorporated into an evolutionary model that allows for adaptive diversification in continuous phenotype spaces, desynchronization of the boom-bust cycles of coexisting species can lead to the maintenance of high levels of diversity.

          Abstract

          Michael Doebeli et al. introduce a discrete-time competition model with multi-dimensional evolving phenotypes to explore the effect of boom-bust population dynamics on the evolution of diversity. Their models show that long periods of near-exponential growth, followed by a population crash due to competition, can lead to the origin and maintenance of high levels of diversity in competitive communities.

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          The Paradox of the Plankton

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            Decoupling function and taxonomy in the global ocean microbiome.

            Microbial metabolism powers biogeochemical cycling in Earth's ecosystems. The taxonomic composition of microbial communities varies substantially between environments, but the ecological causes of this variation remain largely unknown. We analyzed taxonomic and functional community profiles to determine the factors that shape marine bacterial and archaeal communities across the global ocean. By classifying >30,000 marine microorganisms into metabolic functional groups, we were able to disentangle functional from taxonomic community variation. We find that environmental conditions strongly influence the distribution of functional groups in marine microbial communities by shaping metabolic niches, but only weakly influence taxonomic composition within individual functional groups. Hence, functional structure and composition within functional groups constitute complementary and roughly independent "axes of variation" shaped by markedly different processes.
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              Mechanisms of Maintenance of Species Diversity

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                Author and article information

                Contributors
                doebeli@zoology.ubc.ca
                Journal
                Commun Biol
                Commun Biol
                Communications Biology
                Nature Publishing Group UK (London )
                2399-3642
                23 April 2021
                23 April 2021
                2021
                : 4
                : 502
                Affiliations
                [1 ]GRID grid.17091.3e, ISNI 0000 0001 2288 9830, Department of Zoology and Department of Mathematics, , University of British Columbia, 6270 University Boulevard, ; Vancouver, BC Canada
                [2 ]GRID grid.412179.8, ISNI 0000 0001 2191 5013, Physics Department, , University of Santiago of Chile (USACH), ; Santiago, Chile
                Author information
                http://orcid.org/0000-0002-5975-5710
                http://orcid.org/0000-0002-6920-2335
                Article
                2021
                10.1038/s42003-021-02021-4
                8065032
                33893395
                83913a2e-b377-42b6-9165-db66c8118203
                © The Author(s) 2021

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 24 August 2020
                : 24 March 2021
                Funding
                Funded by: FundRef https://doi.org/10.13039/501100002790, Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada (NSERC Canadian Network for Research and Innovation in Machining Technology);
                Award ID: 219930
                Award Recipient :
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                © The Author(s) 2021

                evolution,evolutionary theory
                evolution, evolutionary theory

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