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Do Patterns of Bacterial Diversity along Salinity Gradients Differ from Those Observed for Macroorganisms?

Overview of attention for article published in PLOS ONE, November 2011
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Title
Do Patterns of Bacterial Diversity along Salinity Gradients Differ from Those Observed for Macroorganisms?
Published in
PLOS ONE, November 2011
DOI 10.1371/journal.pone.0027597
Pubmed ID
Authors

Jianjun Wang, Dongmei Yang, Yong Zhang, Ji Shen, Christopher van der Gast, Martin W. Hahn, Qinglong Wu

Abstract

It is widely accepted that biodiversity is lower in more extreme environments. In this study, we sought to determine whether this trend, well documented for macroorganisms, also holds at the microbial level for bacteria. We used denaturing gradient gel electrophoresis (DGGE) with phylum-specific primers to quantify the taxon richness (i.e., the DGGE band numbers) of the bacterioplankton communities of 32 pristine Tibetan lakes that represent a broad salinity range (freshwater to hypersaline). For the lakes investigated, salinity was found to be the environmental variable with the strongest influence on the bacterial community composition. We found that the bacterial taxon richness in freshwater habitats increased with increasing salinity up to a value of 1‰. In saline systems (systems with >1‰ salinity), the expected decrease of taxon richness along a gradient of further increasing salinity was not observed. These patterns were consistently observed for two sets of samples taken in two different years. A comparison of 16S rRNA gene clone libraries revealed that the bacterial community of the lake with the highest salinity was characterized by a higher recent accelerated diversification than the community of a freshwater lake, whereas the phylogenetic diversity in the hypersaline lake was lower than that in the freshwater lake. These results suggest that different evolutionary forces may act on bacterial populations in freshwater and hypersaline lakes on the Tibetan Plateau, potentially resulting in different community structures and diversity patterns.

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The data shown below were compiled from readership statistics for 121 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 3 2%
Germany 1 <1%
Sweden 1 <1%
South Africa 1 <1%
Mexico 1 <1%
China 1 <1%
Spain 1 <1%
United States 1 <1%
Unknown 111 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 30 25%
Student > Ph. D. Student 25 21%
Student > Master 17 14%
Student > Doctoral Student 11 9%
Student > Bachelor 6 5%
Other 18 15%
Unknown 14 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 62 51%
Environmental Science 19 16%
Earth and Planetary Sciences 8 7%
Biochemistry, Genetics and Molecular Biology 3 2%
Immunology and Microbiology 3 2%
Other 4 3%
Unknown 22 18%