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Issue 66, 2017, Issue in Progress
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Unravelling diversity and metabolic potential of microbial consortia at each stage of leather sewage treatment

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Abstract

Activated sludge is essential for the biological wastewater treatment process and the identification of active microbes enlarges awareness of their ecological functions in this system. Microbial communities and their active members were investigated in activated sludge from a leather sewage treatment plant by a combined approach targeting both 16S rRNA and 16S rRNA genes. Although active bacteria obtained by RNA analysis exhibit similar diversity with DNA-based populations, the distribution of microbes significantly differed between the total and active communities. Several active taxa showed low abundance or even absence in the DNA-derived community. Moreover, microbial consortia, particularly bacterial communities, distinctly distributed at a particular treatment stage and both the total and active bacterial communities displayed high environmental sensitivity. Distributions of archaeal communities remained stable and the overrepresentations of active Cenarchaeaceae and Nitrosopumilaceae were potentially associated with ammonia oxidation across the treatment process. Furthermore, bacteria quantitatively dominate the microbial community in activated sludge and the 16S rRNA : 16S rRNA gene ratios of bacteria were positively correlated with the removal of contaminants. The results indicate that both dominant and low-abundance taxa with high potential activity play pivotal roles in removal of contaminants within sewage.

Graphical abstract: Unravelling diversity and metabolic potential of microbial consortia at each stage of leather sewage treatment

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Supplementary files

Article information


Submitted
06 Jul 2017
Accepted
19 Aug 2017
First published
25 Aug 2017

This article is Open Access

RSC Adv., 2017,7, 41727-41737
Article type
Paper

Unravelling diversity and metabolic potential of microbial consortia at each stage of leather sewage treatment

H. Liang, D. Ye and L. Luo, RSC Adv., 2017, 7, 41727
DOI: 10.1039/C7RA07470K

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