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dc.contributor.authorFodelianakis, Stylianos
dc.contributor.authorValenzuela Cuevas, Adriana
dc.contributor.authorBarozzi, Alan
dc.contributor.authorDaffonchio, Daniele
dc.date.accessioned2020-09-06T08:02:33Z
dc.date.available2020-09-06T08:02:33Z
dc.date.issued2020-08-27
dc.date.submitted2020-04-22
dc.identifier.citationFodelianakis, S., Valenzuela-Cuevas, A., Barozzi, A., & Daffonchio, D. (2020). Direct quantification of ecological drift at the population level in synthetic bacterial communities. The ISME Journal. doi:10.1038/s41396-020-00754-4
dc.identifier.issn1751-7362
dc.identifier.issn1751-7370
dc.identifier.pmid32855435
dc.identifier.doi10.1038/s41396-020-00754-4
dc.identifier.urihttp://hdl.handle.net/10754/664933
dc.description.abstractIn community ecology, drift refers to random births and deaths in a population. In microbial ecology, drift is estimated indirectly via community snapshots but in this way, it is almost impossible to distinguish the effect of drift from the effect of other ecological processes. Controlled experiments where drift is quantified in isolation from other processes are still missing. Here we isolate and quantify drift in a series of controlled experiments on simplified and tractable bacterial communities. We detect drift arising randomly in the populations within the communities and resulting in a 1.4–2% increase in their growth rate variability on average. We further use our experimental findings to simulate complex microbial communities under various conditions of selection and dispersal. We find that the importance of drift increases under high selection and low dispersal, where it can lead to ~5% of species loss and to ~15% increase in β-diversity. The species extinct by drift are mainly rare, but they become increasingly less rare when selection increases, and dispersal decreases. Our results provide quantitative insights regarding the properties of drift in bacterial communities and suggest that it accounts for a consistent fraction of the observed stochasticity in natural surveys.
dc.description.sponsorshipWe would like to thank Ms. Sadaf Umer for her support in organizing the laboratory work and Prof. Tom Battin, Prof. Emmanuel Ladoukakis, Dr. Alex Wasburne, and Dr. Athanasios Kousathanas for their valuable comments on a previous version of the manuscript. DD acknowledges the financial support of King Abdullah University and Technology (KAUST) through the baseline research fund and the Office of Sponsored Research (OSR) Award No. OSR-2018-CARF-1973 to the Red Sea Research Center.
dc.publisherSpringer Nature
dc.relation.urlhttp://www.nature.com/articles/s41396-020-00754-4
dc.rightsThis 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.
dc.rights.urihttps://creativecommons.org/licenses/by/4.0
dc.titleDirect quantification of ecological drift at the population level in synthetic bacterial communities
dc.typeArticle
dc.contributor.departmentBiological and Environmental Sciences and Engineering (BESE) Division
dc.contributor.departmentBioscience Program
dc.contributor.departmentExtreme Systems Microbiology Lab
dc.contributor.departmentMarine Science Program
dc.identifier.journalThe ISME Journal
dc.eprint.versionPublisher's Version/PDF
dc.contributor.institutionStream Biofilm and Ecosystem Research Laboratory, Ecole Polytechinque Fédérale de Lausanne, Lausanne, Switzerland
kaust.personFodelianakis, Stylianos
kaust.personValenzuela Cuevas, Adriana
kaust.personBarozzi, Alan
kaust.personDaffonchio, Daniele
kaust.grant.numberOSR-2018-CARF-1973
dc.date.accepted2020-08-17
dc.identifier.eid2-s2.0-85089867959
refterms.dateFOA2020-09-06T08:06:33Z
kaust.acknowledged.supportUnitOffice of Sponsored Research (OSR)
kaust.acknowledged.supportUnitRed Sea Research Center
dc.date.published-online2020-08-27
dc.date.published-print2021-01


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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.
Except where otherwise noted, this item's license is described as 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.