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Ecological filtering drives rapid spatiotemporal dynamics in fish skin microbiomes
Linnaeus University, Faculty of Health and Life Sciences, Department of Biology and Environmental Science. (Ctr Ecol & Evolut Microbial Model Syst EEMiS)ORCID iD: 0000-0002-0433-6295
Uppsala University, Sweden.
Linnaeus University, Faculty of Health and Life Sciences, Department of Biology and Environmental Science. (Ctr Ecol & Evolut Microbial Model Syst EEMiS)ORCID iD: 0000-0001-9667-1228
Linnaeus University, Faculty of Health and Life Sciences, Department of Biology and Environmental Science. (Ctr Ecol & Evolut Microbial Model Syst EEMiS)ORCID iD: 0000-0003-0344-1939
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2024 (English)In: Molecular Ecology, ISSN 0962-1083, E-ISSN 1365-294X, Vol. 33, no 18, article id e17496Article in journal (Refereed) Published
Abstract [en]

Skin microbiomes provide vital functions, yet knowledge about the drivers and processes structuring their species assemblages is limited-especially for non-model organisms. In this study, fish skin microbiome was assessed by high throughput sequencing of amplicon sequence variants from metabarcoding of V3-V4 regions in the 16S rRNA gene on fish hosts subjected to the following experimental manipulations: (i) translocation between fresh and brackish water habitats to investigate the role of environment; (ii) treatment with an antibacterial disinfectant to reboot the microbiome and investigate community assembly and priority effects; and (iii) maintained alone or in pairs to study the role of social environment and inter-host dispersal of microbes. The results revealed that fish skin microbiomes harbour a highly dynamic microbial composition that was distinct from bacterioplankton communities in the ambient water. Microbiome composition first diverged as an effect of translocation to either the brackish or freshwater habitat. When the freshwater individuals were translocated back to brackish water, their microbiome composition converged towards the fish microbiomes in the brackish habitat. In summary, external environmental conditions and individual-specific factors jointly determined the community composition dynamics, whereas inter-host dispersal had negligible effects. The dynamics of the microbiome composition was seemingly non-affected by reboot treatment, pointing towards high resilience to disturbance. The results emphasised the role of inter-individual variability for the unexplained variation found in many host-microbiome systems, although the mechanistic underpinnings remain to be identified.

Place, publisher, year, edition, pages
John Wiley & Sons, 2024. Vol. 33, no 18, article id e17496
Keywords [en]
16S rRNA amplicons, aquatic, ecology, environmental translocation, skin microbiota, teleost
National Category
Microbiology Ecology
Research subject
Ecology, Microbiology; Ecology, Aquatic Ecology
Identifiers
URN: urn:nbn:se:lnu:diva-132473DOI: 10.1111/mec.17496ISI: 001293450500001PubMedID: 39161196Scopus ID: 2-s2.0-85201565335OAI: oai:DiVA.org:lnu-132473DiVA, id: diva2:1897274
Available from: 2024-09-12 Created: 2024-09-12 Last updated: 2024-09-20Bibliographically approved

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Berggren, HannaNordahl, OscarLarsson, PerDopson, MarkTibblin, PetterLundin, DanielPinhassi, JaroneForsman, Anders

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Berggren, HannaNordahl, OscarLarsson, PerDopson, MarkTibblin, PetterLundin, DanielPinhassi, JaroneForsman, Anders
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Molecular Ecology
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