Analysis of bacterial community in bulking sludge using culture-dependent and -independent approaches

Jin, Decai, Wang, Ping, Bai, Zhihui, Wang, Xinxin, Peng, Hong, Qi, Rong, Yu, Zhisheng and Zhuang, Guoqiang (2011) Analysis of bacterial community in bulking sludge using culture-dependent and -independent approaches. Journal of Environmental Sciences, 23 11: 1880-1887. doi:10.1016/S1001-0742(10)60621-3


Author Jin, Decai
Wang, Ping
Bai, Zhihui
Wang, Xinxin
Peng, Hong
Qi, Rong
Yu, Zhisheng
Zhuang, Guoqiang
Title Analysis of bacterial community in bulking sludge using culture-dependent and -independent approaches
Journal name Journal of Environmental Sciences   Check publisher's open access policy
ISSN 1001-0742
1878-7320
Publication date 2011
Sub-type Article (original research)
DOI 10.1016/S1001-0742(10)60621-3
Volume 23
Issue 11
Start page 1880
End page 1887
Total pages 8
Place of publication Amsterdam, The Netherlands
Publisher Elsevier
Collection year 2012
Language eng
Formatted abstract
The bacterial community of a bulking sludge from a municipal wastewater treatment plant with anoxic-anaerobic-oxic process was investigated by combination of cultivation and 16S rRNA gene clone library analysis for understanding the causes of bulking. A total of 28 species were obtained from 63 isolates collected from six culture media. The most cultivable species belonged to γ-Proteobacteria including Klebsiella sp., Pseudomonas sp., Aeromonas sp. and Acinetobacter sp. Further analysis of these strains by repetitive sequence based on polymerase chain reaction (rep-PCR) technology showed that rep-PCR yielded discriminatory banding patterns within the
same genus using REP and BOX primer sets. While the culture-independent assessment revealed that β-Proteobacteria was the dominant group in the bulking sample. Sequence analysis revealed that the highest proportion (14.7%) of operational taxonomic units was 98% similar to Candidatus Accumulibacter phosphatis, which is used to remove phosphorous from wastewater. Our results indicated that combining different approaches can produce complementary information, thus generate a more accurate view of microbial community in bulking sludge.
Keyword Bulking sludge
Cultivable bacteria
Rep-PCR
16S rRNA gene clone library
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ
Additional Notes Received 01 December 2010; revised 15 March 2011; accepted 15 April 2011

Document type: Journal Article
Sub-type: Article (original research)
Collections: School of Chemical Engineering Publications
Official 2012 Collection
 
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