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Please use this identifier to cite or link to this item:
http://hdl.handle.net/10174/7594
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Title: | Correlating microbial community profiles with geochemical data in highly stratified sediments from the Arctic Mid-Ocean Ridge |
Authors: | 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 |
Editors: | PNAS Edition |
Keywords: | taxonomic profiling ultraslow-spreading ridge amplicon sequencing |
Issue Date: | Oct-2012 |
Publisher: | PNAS Edition |
Abstract: | 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. |
URI: | http://www.pnas.org/cgi/doi/10.1073/pnas.1207574109 http://hdl.handle.net/10174/7594 |
Type: | article |
Appears in Collections: | GEO - Publicações - Artigos em Revistas Internacionais Com Arbitragem Científica CGE - Publicações - Artigos em Revistas Internacionais Com Arbitragem Científica
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