The active microbial community more accurately reflects the anaerobic digestion process: 16S rRNA (gene) sequencing as a predictive tool.
The active microbial community more accurately reflects the anaerobic digestion process: 16S rRNA (gene) sequencing as a predictive tool.
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DOI:
10.1186/s40168-018-0449-9
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发表时间:
2018-04-02
期刊:
影响因子:
15.5
通讯作者:
Ijaz UZ
中科院分区:
文献类型:
--
作者:
De Vrieze J;Pinto AJ;Sloan WT;Ijaz UZ
Amplicon sequencing methods targeting the 16S rRNA gene have been used extensively to investigate microbial community composition and dynamics in anaerobic digestion. These methods successfully characterize amplicons but do not distinguish micro-organisms that are actually responsible for the process. In this research, the archaeal and bacterial community of 48 full-scale anaerobic digestion plants were evaluated on DNA (total community) and RNA (active community) level via 16S rRNA (gene) amplicon sequencing. A significantly higher diversity on DNA compared with the RNA level was observed for archaea, but not for bacteria. Beta diversity analysis showed a significant difference in community composition between the DNA and RNA of both bacteria and archaea. This related with 25.5 and 42.3% of total OTUs for bacteria and archaea, respectively, that showed a significant difference in their DNA and RNA profiles. Similar operational parameters affected the bacterial and archaeal community, yet the differentiating effect between DNA and RNA was much stronger for archaea. Co-occurrence networks and functional prediction profiling confirmed the clear differentiation between DNA and RNA profiles. In conclusion, a clear difference in active (RNA) and total (DNA) community profiles was observed, implying the need for a combined approach to estimate community stability in anaerobic digestion. The online version of this article (10.1186/s40168-018-0449-9) contains supplementary material, which is available to authorized users.
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DOI:
10.1007/s11157-008-9131-1
发表时间:
2008-06-01
期刊:
Reviews in Environmental Science and Bio/Technology
影响因子:
--
作者:
Demirel, Burak;Scherer, Paul
通讯作者:
Scherer, Paul
影响因子:
8.8
作者:
Becker, Joachim;Eisenhauer, Nico;Jousset, Alexandre
通讯作者:
Jousset, Alexandre
影响因子:
15.5
作者:
Angly FE;Dennis PG;Skarshewski A;Vanwonterghem I;Hugenholtz P;Tyson GW
通讯作者:
Tyson GW
影响因子:
12.8
作者:
De Vrieze, Jo;Raport, Linde;Boon, Nico
通讯作者:
Boon, Nico
影响因子:
11
作者:
Barberan, Albert;Bates, Scott T.;Fierer, Noah
通讯作者:
Fierer, Noah