Genome-Resolved Metagenomic Analysis Reveals Roles for Candidate Phyla and Other Microbial Community Members in Biogeochemical Transformations in Oil Reservoirs

Oil reservoirs are major sites of methane production and carbon turnover, processes with significant impacts on energy resources and global biogeochemical cycles. We applied a cultivation-independent genomic approach to define microbial community membership and predict roles for specific organisms i...

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Published in:mBio
Main Authors: Hu, Ping, Tom, Lauren, Singh, Andrea, Thomas, Brian C., Baker, Brett J., Piceno, Yvette M., Andersen, Gary L., Banfield, Jillian F.
Format: Text
Language:English
Published: American Society of Microbiology 2016
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Online Access:http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4725000/
http://www.ncbi.nlm.nih.gov/pubmed/26787827
https://doi.org/10.1128/mBio.01669-15
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spelling ftpubmed:oai:pubmedcentral.nih.gov:4725000 2023-05-15T13:09:10+02:00 Genome-Resolved Metagenomic Analysis Reveals Roles for Candidate Phyla and Other Microbial Community Members in Biogeochemical Transformations in Oil Reservoirs Hu, Ping Tom, Lauren Singh, Andrea Thomas, Brian C. Baker, Brett J. Piceno, Yvette M. Andersen, Gary L. Banfield, Jillian F. 2016-01-19 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4725000/ http://www.ncbi.nlm.nih.gov/pubmed/26787827 https://doi.org/10.1128/mBio.01669-15 en eng American Society of Microbiology http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4725000/ http://www.ncbi.nlm.nih.gov/pubmed/26787827 http://dx.doi.org/10.1128/mBio.01669-15 Copyright © 2016 Hu et al. http://creativecommons.org/licenses/by-nc-sa/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution-Noncommercial-ShareAlike 3.0 Unported license (http://creativecommons.org/licenses/by-nc-sa/3.0/) , which permits unrestricted noncommercial use, distribution, and reproduction in any medium, provided the original author and source are credited. CC-BY-NC-SA Research Article Text 2016 ftpubmed https://doi.org/10.1128/mBio.01669-15 2016-01-31T01:21:19Z Oil reservoirs are major sites of methane production and carbon turnover, processes with significant impacts on energy resources and global biogeochemical cycles. We applied a cultivation-independent genomic approach to define microbial community membership and predict roles for specific organisms in biogeochemical transformations in Alaska North Slope oil fields. Produced water samples were collected from six locations between 1,128 m (24 to 27°C) and 2,743 m (80 to 83°C) below the surface. Microbial community complexity decreased with increasing temperature, and the potential to degrade hydrocarbon compounds was most prevalent in the lower-temperature reservoirs. Sulfate availability, rather than sulfate reduction potential, seems to be the limiting factor for sulfide production in some of the reservoirs under investigation. Most microorganisms in the intermediate- and higher-temperature samples were related to previously studied methanogenic and nonmethanogenic archaea and thermophilic bacteria, but one candidate phylum bacterium, a member of the Acetothermia (OP1), was present in Kuparuk sample K3. The greatest numbers of candidate phyla were recovered from the mesothermic reservoir samples SB1 and SB2. We reconstructed a nearly complete genome for an organism from the candidate phylum Parcubacteria (OD1) that was abundant in sample SB1. Consistent with prior findings for members of this lineage, the OD1 genome is small, and metabolic predictions support an obligately anaerobic, fermentation-based lifestyle. At moderate abundance in samples SB1 and SB2 were members of bacteria from other candidate phyla, including Microgenomates (OP11), Atribacteria (OP9), candidate phyla TA06 and WS6, and Marinimicrobia (SAR406). The results presented here elucidate potential roles of organisms in oil reservoir biological processes. Text Alaska North Slope north slope Alaska PubMed Central (PMC) mBio 7 1
institution Open Polar
collection PubMed Central (PMC)
op_collection_id ftpubmed
language English
topic Research Article
spellingShingle Research Article
Hu, Ping
Tom, Lauren
Singh, Andrea
Thomas, Brian C.
Baker, Brett J.
Piceno, Yvette M.
Andersen, Gary L.
Banfield, Jillian F.
Genome-Resolved Metagenomic Analysis Reveals Roles for Candidate Phyla and Other Microbial Community Members in Biogeochemical Transformations in Oil Reservoirs
topic_facet Research Article
description Oil reservoirs are major sites of methane production and carbon turnover, processes with significant impacts on energy resources and global biogeochemical cycles. We applied a cultivation-independent genomic approach to define microbial community membership and predict roles for specific organisms in biogeochemical transformations in Alaska North Slope oil fields. Produced water samples were collected from six locations between 1,128 m (24 to 27°C) and 2,743 m (80 to 83°C) below the surface. Microbial community complexity decreased with increasing temperature, and the potential to degrade hydrocarbon compounds was most prevalent in the lower-temperature reservoirs. Sulfate availability, rather than sulfate reduction potential, seems to be the limiting factor for sulfide production in some of the reservoirs under investigation. Most microorganisms in the intermediate- and higher-temperature samples were related to previously studied methanogenic and nonmethanogenic archaea and thermophilic bacteria, but one candidate phylum bacterium, a member of the Acetothermia (OP1), was present in Kuparuk sample K3. The greatest numbers of candidate phyla were recovered from the mesothermic reservoir samples SB1 and SB2. We reconstructed a nearly complete genome for an organism from the candidate phylum Parcubacteria (OD1) that was abundant in sample SB1. Consistent with prior findings for members of this lineage, the OD1 genome is small, and metabolic predictions support an obligately anaerobic, fermentation-based lifestyle. At moderate abundance in samples SB1 and SB2 were members of bacteria from other candidate phyla, including Microgenomates (OP11), Atribacteria (OP9), candidate phyla TA06 and WS6, and Marinimicrobia (SAR406). The results presented here elucidate potential roles of organisms in oil reservoir biological processes.
format Text
author Hu, Ping
Tom, Lauren
Singh, Andrea
Thomas, Brian C.
Baker, Brett J.
Piceno, Yvette M.
Andersen, Gary L.
Banfield, Jillian F.
author_facet Hu, Ping
Tom, Lauren
Singh, Andrea
Thomas, Brian C.
Baker, Brett J.
Piceno, Yvette M.
Andersen, Gary L.
Banfield, Jillian F.
author_sort Hu, Ping
title Genome-Resolved Metagenomic Analysis Reveals Roles for Candidate Phyla and Other Microbial Community Members in Biogeochemical Transformations in Oil Reservoirs
title_short Genome-Resolved Metagenomic Analysis Reveals Roles for Candidate Phyla and Other Microbial Community Members in Biogeochemical Transformations in Oil Reservoirs
title_full Genome-Resolved Metagenomic Analysis Reveals Roles for Candidate Phyla and Other Microbial Community Members in Biogeochemical Transformations in Oil Reservoirs
title_fullStr Genome-Resolved Metagenomic Analysis Reveals Roles for Candidate Phyla and Other Microbial Community Members in Biogeochemical Transformations in Oil Reservoirs
title_full_unstemmed Genome-Resolved Metagenomic Analysis Reveals Roles for Candidate Phyla and Other Microbial Community Members in Biogeochemical Transformations in Oil Reservoirs
title_sort genome-resolved metagenomic analysis reveals roles for candidate phyla and other microbial community members in biogeochemical transformations in oil reservoirs
publisher American Society of Microbiology
publishDate 2016
url http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4725000/
http://www.ncbi.nlm.nih.gov/pubmed/26787827
https://doi.org/10.1128/mBio.01669-15
genre Alaska North Slope
north slope
Alaska
genre_facet Alaska North Slope
north slope
Alaska
op_relation http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4725000/
http://www.ncbi.nlm.nih.gov/pubmed/26787827
http://dx.doi.org/10.1128/mBio.01669-15
op_rights Copyright © 2016 Hu et al.
http://creativecommons.org/licenses/by-nc-sa/3.0/
This is an open-access article distributed under the terms of the Creative Commons Attribution-Noncommercial-ShareAlike 3.0 Unported license (http://creativecommons.org/licenses/by-nc-sa/3.0/) , which permits unrestricted noncommercial use, distribution, and reproduction in any medium, provided the original author and source are credited.
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