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An RNA-based quantitative and compositional study of ammonium-oxidizing bacteria and archaea in Lake Taihu, a eutrophic freshwater lake
- Source :
- FEMS Microbiology Ecology. 95
- Publication Year :
- 2019
- Publisher :
- Oxford University Press (OUP), 2019.
-
Abstract
- Ammonium-oxidizing archaea (AOA) and bacteria (AOB) play crucial roles in ammonium oxidation in freshwater lake sediment. However, previous reports on the predominance of AOA and AOB in the surface sediment of Lake Taihu have been based on DNA levels, detecting the total abundance of microbiota (including inactive cells), and have resulted in numerous contradictory conclusions. Existing RNA-level studies detecting active transcription are very limited. The current study, using RNA-based real-time quantification and clone library analysis, demonstrated that the amoA gene abundance of active AOB was higher than that of active AOA, despite conflicting results at the DNA level. Further exploration revealed a significant positive correlation between the potential nitrification rate (PNR) and the abundance of AOA and AOB at the RNA level, with irregular or contradictory correlation found at the DNA level. Ultimately, using quantitative analysis of RNA levels, we show AOB to be the active dominant contributor to ammonium oxidation. Our investigations also indicated that AOB were more diverse in high-ammonium lake regions, with Nitrosomonas being the active and dominating cluster, but that AOA had an advantage in the low-ammonium lake regions.
- Subjects :
- Geologic Sediments
Library
Biology
Applied Microbiology and Biotechnology
Microbiology
chemistry.chemical_compound
Transcription (biology)
Ammonium Compounds
Botany
Ammonium
Phylogeny
Nitrosomonas
Bacteria
Ecology
Microbiota
RNA
Biodiversity
biology.organism_classification
Archaea
Nitrification
Lakes
RNA, Bacterial
chemistry
Oxidation-Reduction
Subjects
Details
- ISSN :
- 15746941
- Volume :
- 95
- Database :
- OpenAIRE
- Journal :
- FEMS Microbiology Ecology
- Accession number :
- edsair.doi.dedup.....a3fdfb8b330c8ba133d03111a3e23ee5