Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/20209
Title: Microbial diversity in polluted harbor sediments II: Sulfate-reducing bacterial community assessment using terminal restriction fragment length polymorphism and clone library of dsrAB gene
Authors: Zhang, W
Song, LS
Ki, JS
Lau, CK
Li, XD 
Qian, PY
Keywords: Clone library
DsrAB
Pollution
Sulfate-reducing bacteria
T-RFLP
Victoria Harbor
Issue Date: 2008
Publisher: Academic Press
Source: Estuarine, coastal and shelf science, 2008, v. 76, no. 3, p. 682-691 How to cite?
Journal: Estuarine, coastal and shelf science 
Abstract: Sulfate-reducing bacteria (SRB) are important regulators of a variety of processes in coastal marine sediments regarding organic matter turnover, biodegradation of pollutants, and sulfur and carbon cycles. Yet their community compositions have not been investigated in polluted harbor sediments. This study described the diversity and spatial variation of SRB communities in surface sediments in Victoria Harbor, Hong Kong. The spatial variation of SRB communities was described by terminal restriction fragment length polymorphism (T-RFLP). The results showed that the most diversified terminal restriction fragments were found at polluted sites. In addition, cluster analysis indicated that although the SRB communities were different at the two polluted sites, they were still more similar to each other than to the two more distant reference sites. Based on a dsrAB clone library constructed at a polluted site, diversified SRB were found, represented by 30 Operational Taxonomic Units (OTUs). Upon comparisons among the SRB sequences detected from this study and those in the GenBank, five clades of SRB were found. Three clades belonged to the known families Desulfobacteraceae, Desulfobulbaceae, and Syntrophobacteriaceae. The majority of sequenced clones, which distantly related to sequences in the GenBank, constituted the remaining two unclassified groups, suggesting unique SRB members related to the polluted harbor environment. Statistical analyses indicated that estimated SRB richness correlated with environment factors such as sulfur content, acid volatile sulfate, and redox potential.
URI: http://hdl.handle.net/10397/20209
ISSN: 0272-7714
DOI: 10.1016/j.ecss.2007.07.039
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