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Paired RNA Radiocarbon and Sequencing Analyses Indicate the Importance of Autotrophy in a Shallow Alluvial Aquifer.
Paired RNA Radiocarbon and Sequencing Analyses Indicate the Importance of Autotrophy in a Shallow Alluvial Aquifer.
- Source :
-
Scientific reports [Sci Rep] 2019 Jul 17; Vol. 9 (1), pp. 10370. Date of Electronic Publication: 2019 Jul 17. - Publication Year :
- 2019
-
Abstract
- Determining the carbon sources for active microbial populations in the subsurface is a challenging but highly informative component of subsurface microbial ecology. This work developed a method to provide ecological insights into groundwater microbial communities by characterizing community RNA through its radiocarbon and ribosomal RNA (rRNA) signatures. RNA was chosen as the biomolecule of interest because rRNA constitutes the majority of RNA in prokaryotes, represents recently active organisms, and yields detailed taxonomic information. The method was applied to a groundwater filter collected from a shallow alluvial aquifer in Colorado. RNA was extracted, radiometrically dated, and the 16S rRNA was analyzed by RNA-Seq. The RNA had a radiocarbon signature (Δ <superscript>14</superscript> C) of -193.4 ± 5.6‰. Comparison of the RNA radiocarbon signature to those of potential carbon pools in the aquifer indicated that at least 51% of the RNA was derived from autotrophy, in close agreement with the RNA-Seq data, which documented the prevalence of autotrophic taxa, such as Thiobacillus and Gallionellaceae. Overall, this hybrid method for RNA analysis provided cultivation-independent information on the in-situ carbon sources of active subsurface microbes and reinforced the importance of autotrophy and the preferential utilization of dissolved over sedimentary organic matter in alluvial aquifers.
- Subjects :
- Bacteria genetics
Bacteria isolation & purification
Base Sequence
Carbon Cycle
Carbon Radioisotopes analysis
Colorado
Escherichia coli metabolism
Iron metabolism
Phylogeny
RNA, Bacterial genetics
RNA, Ribosomal, 16S genetics
Radiometric Dating
Sequence Analysis, RNA
Sulfur metabolism
Autotrophic Processes
Bacteria metabolism
Groundwater microbiology
RNA, Bacterial analysis
RNA, Ribosomal, 16S analysis
Water Microbiology
Subjects
Details
- Language :
- English
- ISSN :
- 2045-2322
- Volume :
- 9
- Issue :
- 1
- Database :
- MEDLINE
- Journal :
- Scientific reports
- Publication Type :
- Academic Journal
- Accession number :
- 31316095
- Full Text :
- https://doi.org/10.1038/s41598-019-46663-1