Your browser doesn't support javascript.
loading
Functional tradeoffs underpin salinity-driven divergence in microbial community composition.
Dupont, Chris L; Larsson, John; Yooseph, Shibu; Ininbergs, Karolina; Goll, Johannes; Asplund-Samuelsson, Johannes; McCrow, John P; Celepli, Narin; Allen, Lisa Zeigler; Ekman, Martin; Lucas, Andrew J; Hagström, Åke; Thiagarajan, Mathangi; Brindefalk, Björn; Richter, Alexander R; Andersson, Anders F; Tenney, Aaron; Lundin, Daniel; Tovchigrechko, Andrey; Nylander, Johan A A; Brami, Daniel; Badger, Jonathan H; Allen, Andrew E; Rusch, Douglas B; Hoffman, Jeff; Norrby, Erling; Friedman, Robert; Pinhassi, Jarone; Venter, J Craig; Bergman, Birgitta.
Afiliación
  • Dupont CL; Microbial and Environmental Genomics, J. Craig Venter Institute, San Diego, California, United States of America.
  • Larsson J; Department of Ecology, Environment and Plant Sciences, Stockholm University, Stockholm, Sweden.
  • Yooseph S; Informatics Group, J. Craig Venter Institute, San Diego, California, United States of America.
  • Ininbergs K; Department of Ecology, Environment and Plant Sciences, Stockholm University, Stockholm, Sweden.
  • Goll J; Informatics Group, J. Craig Venter Institute, Rockville, Maryland, United States of America.
  • Asplund-Samuelsson J; Department of Ecology, Environment and Plant Sciences, Stockholm University, Stockholm, Sweden.
  • McCrow JP; Microbial and Environmental Genomics, J. Craig Venter Institute, San Diego, California, United States of America.
  • Celepli N; Department of Ecology, Environment and Plant Sciences, Stockholm University, Stockholm, Sweden.
  • Allen LZ; Microbial and Environmental Genomics, J. Craig Venter Institute, San Diego, California, United States of America.
  • Ekman M; Department of Ecology, Environment and Plant Sciences, Stockholm University, Stockholm, Sweden.
  • Lucas AJ; Marine Physical Laboratory, Scripps Institution of Oceanography, University of California San Diego, San Diego, California, United States of America.
  • Hagström Å; Swedish Institute for the Marine Environment (SIME), University of Gothenburg, Gothenburg, Sweden.
  • Thiagarajan M; Informatics Group, J. Craig Venter Institute, Rockville, Maryland, United States of America.
  • Brindefalk B; Department of Ecology, Environment and Plant Sciences, Stockholm University, Stockholm, Sweden.
  • Richter AR; Informatics Group, J. Craig Venter Institute, San Diego, California, United States of America.
  • Andersson AF; KTH Royal Institute of Technology, Science for Life Laboratory, School of Biotechnology, Solna, Sweden.
  • Tenney A; Informatics Group, J. Craig Venter Institute, San Diego, California, United States of America.
  • Lundin D; KTH Royal Institute of Technology, Science for Life Laboratory, School of Biotechnology, Solna, Sweden.
  • Tovchigrechko A; Informatics Group, J. Craig Venter Institute, Rockville, Maryland, United States of America.
  • Nylander JA; Department of Biodiversity Informatics, Swedish Museum of Natural History, Stockholm, Sweden.
  • Brami D; Informatics Group, J. Craig Venter Institute, San Diego, California, United States of America.
  • Badger JH; Informatics Group, J. Craig Venter Institute, San Diego, California, United States of America.
  • Allen AE; Microbial and Environmental Genomics, J. Craig Venter Institute, San Diego, California, United States of America.
  • Rusch DB; Informatics Group, J. Craig Venter Institute, Rockville, Maryland, United States of America.
  • Hoffman J; Microbial and Environmental Genomics, J. Craig Venter Institute, San Diego, California, United States of America.
  • Norrby E; Center for History of Science, The Royal Swedish Academy of Sciences, Stockholm, Sweden.
  • Friedman R; Microbial and Environmental Genomics, J. Craig Venter Institute, San Diego, California, United States of America.
  • Pinhassi J; Centre for Ecology and Evolution in Microbial Model Systems, Linnaeus University, Kalmar, Sweden.
  • Venter JC; Microbial and Environmental Genomics, J. Craig Venter Institute, San Diego, California, United States of America.
  • Bergman B; Department of Ecology, Environment and Plant Sciences, Stockholm University, Stockholm, Sweden.
PLoS One ; 9(2): e89549, 2014.
Article en En | MEDLINE | ID: mdl-24586863
ABSTRACT
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.
Asunto(s)

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Agua de Mar / Bacterias / Microbiología del Agua / Metagenoma / Salinidad / Microbiota Tipo de estudio: Prognostic_studies País/Región como asunto: Europa Idioma: En Revista: PLoS One Asunto de la revista: CIENCIA / MEDICINA Año: 2014 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Agua de Mar / Bacterias / Microbiología del Agua / Metagenoma / Salinidad / Microbiota Tipo de estudio: Prognostic_studies País/Región como asunto: Europa Idioma: En Revista: PLoS One Asunto de la revista: CIENCIA / MEDICINA Año: 2014 Tipo del documento: Article