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

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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.
Keywords
Biogas, Illumina sequencing, Methane, Methanogenesis, WATER TREATMENT PLANTS, GRADIENT GEL-ELECTROPHORESIS, METHANOGENIC PATHWAYS, BIOGAS REACTORS, BACTERIAL COMMUNITIES, METHANE PRODUCTION, PROCESS STABILITY, CARBON ISOTOPES, FOOD WASTE, SCALE

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Chicago
De Vrieze, Jo, Ameet J Pinto, William T Sloan, and Umer Zeeshan Ijaz. 2018. “The Active Microbial Community More Accurately Reflects the Anaerobic Digestion Process : 16S rRNA (gene) Sequencing as a Predictive Tool.” Microbiome 6.
APA
De Vrieze, Jo, Pinto, A. J., Sloan, W. T., & 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.
Vancouver
1.
De Vrieze J, Pinto AJ, Sloan WT, Ijaz UZ. The active microbial community more accurately reflects the anaerobic digestion process : 16S rRNA (gene) sequencing as a predictive tool. MICROBIOME. 2018;6.
MLA
De Vrieze, Jo, Ameet J Pinto, William T Sloan, et al. “The Active Microbial Community More Accurately Reflects the Anaerobic Digestion Process : 16S rRNA (gene) Sequencing as a Predictive Tool.” MICROBIOME 6 (2018): n. pag. Print.
@article{8560387,
  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.},
  articleno    = {63},
  author       = {De Vrieze, Jo and Pinto, Ameet J and Sloan, William T and Ijaz, Umer Zeeshan},
  issn         = {2049-2618},
  journal      = {MICROBIOME},
  keyword      = {Biogas,Illumina sequencing,Methane,Methanogenesis,WATER TREATMENT PLANTS,GRADIENT GEL-ELECTROPHORESIS,METHANOGENIC PATHWAYS,BIOGAS REACTORS,BACTERIAL COMMUNITIES,METHANE PRODUCTION,PROCESS STABILITY,CARBON ISOTOPES,FOOD WASTE,SCALE},
  language     = {eng},
  pages        = {13},
  title        = {The active microbial community more accurately reflects the anaerobic digestion process : 16S rRNA (gene) sequencing as a predictive tool},
  url          = {http://dx.doi.org/10.1186/s40168-018-0449-9},
  volume       = {6},
  year         = {2018},
}

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