Correlating microbial community profiles with geochemical data in highly stratified sediments from the Arctic Mid-Ocean Ridge
Microbial communities and their associated metabolic activity in marine sediments have a profound impact on global biogeochemical cycles. Their composition and structure are attributed to geochemical and physical factors, but finding direct correlations has remained a challenge. Here we show a signi...
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ftunivevora:oai:dspace.uevora.pt:10174/7594 2023-09-05T13:17:15+02:00 Correlating microbial community profiles with geochemical data in highly stratified sediments from the Arctic Mid-Ocean Ridge Jorgensen, Steffen Leth Hannisdal, Bjarte Lanzén, Anders Baumberger, Tamara Flesland, Kristin Fonseca, Rita Øvreås, Lise Steen, Ida H. Thorseth, Ingunn H. Pedersen, Rolf B. Schleper, Christa PNAS Edition 2012-10 http://hdl.handle.net/10174/7594 http://www.pnas.org/cgi/doi/10.1073/pnas.1207574109 eng eng PNAS Edition http://www.pnas.org/cgi/doi/10.1073/pnas.1207574109 http://hdl.handle.net/10174/7594 GEO steffen.jorgensen@bio.uib.no bjarte.hannisdal@geo.uib.no anders.lanzen@uni.no tamara.baumberger@geo.uib.no Kristin.Flesland@geo.uib.no rfonseca@uevora.pt Lise.Ovreas@bio.uib.no Ida.Steen@bio.uib.no Ingunn.Thorseth@geo.uib.no Rolf.Pedersen@geo.uib.no christa.schleper@univie.ac.at 371 openAccess taxonomic profiling ultraslow-spreading ridge amplicon sequencing article 2012 ftunivevora 2023-08-14T17:31:08Z Microbial communities and their associated metabolic activity in marine sediments have a profound impact on global biogeochemical cycles. Their composition and structure are attributed to geochemical and physical factors, but finding direct correlations has remained a challenge. Here we show a significant statistical relationship between variation in geochemical composition and prokaryotic community structure within deep-sea sediments. We obtained comprehensive geochemical data from two gravity cores near the hydrothermal vent field Loki’s Castle at the Arctic Mid-Ocean Ridge, in the Norwegian- Greenland Sea. Geochemical properties in the rift valley sediments exhibited strong centimeter-scale stratigraphic variability. Microbial populations were profiled by pyrosequencing from 15 sediment horizons (59,364 16S rRNA gene tags), quantitatively assessed by qPCR, and phylogenetically analyzed. Although the same taxa were generally present in all samples, their relative abundances varied substantially among horizons and fluctuated between Bacteria- and Archaea-dominated communities. By independently summarizing covariance structures of the relative abundance data and geochemical data, using principal components analysis, we found a significant correlation between changes in geochemical composition and changes in community structure. Differences in organic carbon and mineralogy shaped the relative abundance of microbial taxa. We used correlations to build hypotheses about energy metabolisms, particularly of the Deep Sea Archaeal Group, specific Deltaproteobacteria, and sediment lineages of potentially anaerobic Marine Group I Archaea. We demonstrate that total prokaryotic community structure can be directly correlated to geochemistry within these sediments, thus enhancing our understanding of biogeochemical cycling and our ability to predict metabolisms of uncultured microbes in deep-sea sediments. Article in Journal/Newspaper Arctic Greenland Greenland Sea Repositório Científico da Universidade de Évora Arctic Greenland |
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Open Polar |
collection |
Repositório Científico da Universidade de Évora |
op_collection_id |
ftunivevora |
language |
English |
topic |
taxonomic profiling ultraslow-spreading ridge amplicon sequencing |
spellingShingle |
taxonomic profiling ultraslow-spreading ridge amplicon sequencing Jorgensen, Steffen Leth Hannisdal, Bjarte Lanzén, Anders Baumberger, Tamara Flesland, Kristin Fonseca, Rita Øvreås, Lise Steen, Ida H. Thorseth, Ingunn H. Pedersen, Rolf B. Schleper, Christa Correlating microbial community profiles with geochemical data in highly stratified sediments from the Arctic Mid-Ocean Ridge |
topic_facet |
taxonomic profiling ultraslow-spreading ridge amplicon sequencing |
description |
Microbial communities and their associated metabolic activity in marine sediments have a profound impact on global biogeochemical cycles. Their composition and structure are attributed to geochemical and physical factors, but finding direct correlations has remained a challenge. Here we show a significant statistical relationship between variation in geochemical composition and prokaryotic community structure within deep-sea sediments. We obtained comprehensive geochemical data from two gravity cores near the hydrothermal vent field Loki’s Castle at the Arctic Mid-Ocean Ridge, in the Norwegian- Greenland Sea. Geochemical properties in the rift valley sediments exhibited strong centimeter-scale stratigraphic variability. Microbial populations were profiled by pyrosequencing from 15 sediment horizons (59,364 16S rRNA gene tags), quantitatively assessed by qPCR, and phylogenetically analyzed. Although the same taxa were generally present in all samples, their relative abundances varied substantially among horizons and fluctuated between Bacteria- and Archaea-dominated communities. By independently summarizing covariance structures of the relative abundance data and geochemical data, using principal components analysis, we found a significant correlation between changes in geochemical composition and changes in community structure. Differences in organic carbon and mineralogy shaped the relative abundance of microbial taxa. We used correlations to build hypotheses about energy metabolisms, particularly of the Deep Sea Archaeal Group, specific Deltaproteobacteria, and sediment lineages of potentially anaerobic Marine Group I Archaea. We demonstrate that total prokaryotic community structure can be directly correlated to geochemistry within these sediments, thus enhancing our understanding of biogeochemical cycling and our ability to predict metabolisms of uncultured microbes in deep-sea sediments. |
author2 |
PNAS Edition |
format |
Article in Journal/Newspaper |
author |
Jorgensen, Steffen Leth Hannisdal, Bjarte Lanzén, Anders Baumberger, Tamara Flesland, Kristin Fonseca, Rita Øvreås, Lise Steen, Ida H. Thorseth, Ingunn H. Pedersen, Rolf B. Schleper, Christa |
author_facet |
Jorgensen, Steffen Leth Hannisdal, Bjarte Lanzén, Anders Baumberger, Tamara Flesland, Kristin Fonseca, Rita Øvreås, Lise Steen, Ida H. Thorseth, Ingunn H. Pedersen, Rolf B. Schleper, Christa |
author_sort |
Jorgensen, Steffen Leth |
title |
Correlating microbial community profiles with geochemical data in highly stratified sediments from the Arctic Mid-Ocean Ridge |
title_short |
Correlating microbial community profiles with geochemical data in highly stratified sediments from the Arctic Mid-Ocean Ridge |
title_full |
Correlating microbial community profiles with geochemical data in highly stratified sediments from the Arctic Mid-Ocean Ridge |
title_fullStr |
Correlating microbial community profiles with geochemical data in highly stratified sediments from the Arctic Mid-Ocean Ridge |
title_full_unstemmed |
Correlating microbial community profiles with geochemical data in highly stratified sediments from the Arctic Mid-Ocean Ridge |
title_sort |
correlating microbial community profiles with geochemical data in highly stratified sediments from the arctic mid-ocean ridge |
publisher |
PNAS Edition |
publishDate |
2012 |
url |
http://hdl.handle.net/10174/7594 http://www.pnas.org/cgi/doi/10.1073/pnas.1207574109 |
geographic |
Arctic Greenland |
geographic_facet |
Arctic Greenland |
genre |
Arctic Greenland Greenland Sea |
genre_facet |
Arctic Greenland Greenland Sea |
op_relation |
http://www.pnas.org/cgi/doi/10.1073/pnas.1207574109 http://hdl.handle.net/10174/7594 GEO steffen.jorgensen@bio.uib.no bjarte.hannisdal@geo.uib.no anders.lanzen@uni.no tamara.baumberger@geo.uib.no Kristin.Flesland@geo.uib.no rfonseca@uevora.pt Lise.Ovreas@bio.uib.no Ida.Steen@bio.uib.no Ingunn.Thorseth@geo.uib.no Rolf.Pedersen@geo.uib.no christa.schleper@univie.ac.at 371 |
op_rights |
openAccess |
_version_ |
1776198494754701312 |