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Shifts in microbial community structure along an ecological gradient of hypersaline soils and sediments.

Authors :
Hollister EB
Engledow AS
Hammett AJ
Provin TL
Wilkinson HH
Gentry TJ
Source :
The ISME journal [ISME J] 2010 Jun; Vol. 4 (6), pp. 829-38. Date of Electronic Publication: 2010 Feb 04.
Publication Year :
2010

Abstract

Studies of hypersaline ecosystems often yield novel organisms and contribute to our understanding of extreme environments. Soils and sediments from La Sal del Rey, a previously uncharacterized, hypersaline lake located in southern Texas, USA, were surveyed to characterize the structure and diversity of their microbial communities. Samples were collected along a transect that spanned vegetated uplands, exposed lakebed sediments, and water-logged locations, capturing a wide range of environments and physical and chemical gradients. Community quantitative PCR (qPCR) was used in combination with tag-encoded pyrosequencing, 16S rRNA gene cloning, and Sanger sequencing to characterize the lake's soil and sediment microbial communities. Further, we used multivariate statistics to identify the relationships shared between sequence diversity and heterogeneity in the soil environment. The overall microbial communities were surprisingly diverse, harboring a wide variety of taxa, and sharing significant correlations with site water content, phosphorus and total organic carbon concentrations, and pH. Some individual populations, especially of Archaea, also correlated with sodium concentration and electrical conductivity salinity. Across the transect, Bacteria were numerically dominant relative to Archaea, and among them, three phyla--the Proteobacteria, Bacteroidetes, and Firmicutes--accounted for the majority of taxa detected. Although these taxa were detected with similar abundances to those described in other hypersaline ecosystems, the greater depth of sequencing achieved here resulted in the detection of taxa not described previously in hypersaline sediments. The results of this study provide new information regarding a previously uncharacterized ecosystem and show the value of high-throughput sequencing in the study of complex ecosystems.

Details

Language :
English
ISSN :
1751-7370
Volume :
4
Issue :
6
Database :
MEDLINE
Journal :
The ISME journal
Publication Type :
Academic Journal
Accession number :
20130657
Full Text :
https://doi.org/10.1038/ismej.2010.3