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Functional Tradeoffs Underpin Salinity-Driven Divergence in Microbial Community Composition
Stockholm University, Faculty of Science, Department of Ecology, Environment and Plant Sciences.
Stockholm University, Faculty of Science, Department of Ecology, Environment and Plant Sciences.
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2014 (English)In: PLoS ONE, ISSN 1932-6203, Vol. 9, no 2, e89549- p.Article in journal (Refereed) Published
Abstract [en]

Bacterial community composition and functional potential change subtly across gradients in the surface ocean. In contrast, while there are significant phylogenetic divergences between communities from freshwater and marine habitats, the underlying mechanisms to this phylogenetic structuring yet remain unknown. We hypothesized that the functional potential of natural bacterial communities is linked to this striking divide between microbiomes. To test this hypothesis, metagenomic sequencing of microbial communities along a 1,800 km transect in the Baltic Sea area, encompassing a continuous natural salinity gradient from limnic to fully marine conditions, was explored. Multivariate statistical analyses showed that salinity is the main determinant of dramatic changes in microbial community composition, but also of large scale changes in core metabolic functions of bacteria. Strikingly, genetically and metabolically different pathways for key metabolic processes, such as respiration, biosynthesis of quinones and isoprenoids, glycolysis and osmolyte transport, were differentially abundant at high and low salinities. These shifts in functional capacities were observed at multiple taxonomic levels and within dominant bacterial phyla, while bacteria, such as SAR11, were able to adapt to the entire salinity gradient. We propose that the large differences in central metabolism required at high and low salinities dictate the striking divide between freshwater and marine microbiomes, and that the ability to inhabit different salinity regimes evolved early during bacterial phylogenetic differentiation. These findings significantly advance our understanding of microbial distributions and stress the need to incorporate salinity in future climate change models that predict increased levels of precipitation and a reduction in salinity.

Place, publisher, year, edition, pages
2014. Vol. 9, no 2, e89549- p.
National Category
Biological Sciences
URN: urn:nbn:se:su:diva-102787DOI: 10.1371/journal.pone.0089549ISI: 000332390800027OAI: diva2:713517


Available from: 2014-04-23 Created: 2014-04-22 Last updated: 2014-04-23Bibliographically approved

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Larsson, JohnIninbergs, KarolinaCelepli, NarinEkman, MartinBrindefalk, BjörnBergman, Birgitta
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Department of Ecology, Environment and Plant Sciences
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