The active microbial community more accurately reflects the anaerobic digestion process: 16S rRNA (gene) sequencing as a predictive tool

Pinto, A. J., de Vrieze, J., Sloan, W. T. and Ijaz, U. Z. (2018) The active microbial community more accurately reflects the anaerobic digestion process: 16S rRNA (gene) sequencing as a predictive tool. Microbiome, 6, 63. (doi:10.1186/s40168-018-0449-9) (PMID:29609653) (PMCID:PMC5879801)

Pinto, A. J., de Vrieze, J., Sloan, W. T. and Ijaz, U. Z. (2018) The active microbial community more accurately reflects the anaerobic digestion process: 16S rRNA (gene) sequencing as a predictive tool. Microbiome, 6, 63. (doi:10.1186/s40168-018-0449-9) (PMID:29609653) (PMCID:PMC5879801)

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Abstract

Background: 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. Results: 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. Conclusions: 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.

Item Type:Articles
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Sloan, Professor William and Pinto, Dr Ameet and Ijaz, Dr Umer Zeeshan
Authors: Pinto, A. J., de Vrieze, J., Sloan, W. T., and Ijaz, U. Z.
College/School:College of Science and Engineering > School of Engineering
College of Science and Engineering > School of Engineering > Infrastructure and Environment
Journal Name:Microbiome
Publisher:BioMed Central
ISSN:2049-2618
ISSN (Online):2049-2618
Published Online:02 April 2018
Copyright Holders:Copyright © 2018 The Authors
First Published:First published in Microbiome 6:63
Publisher Policy:Reproduced under a Creative Commons License

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Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
652771Understanding microbial community through in situ environmental 'omic data synthesisUmer Zeeshan IjazNatural Environment Research Council (NERC)NE/L011956/1ENG - ENGINEERING INFRASTRUCTURE & ENVIR
665801Healthy drinking waterAmeet PintoEngineering and Physical Sciences Research Council (EPSRC)EP/M016811/1ENG - ENGINEERING INFRASTRUCTURE & ENVIR