Environmental conditions and habitats of GOS sites and bottle data of HOT-ALOHA station

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Auteurs principaux: Yilmaz, Pelin, Iversen, Morten Hvitfeldt, Hankeln, Wolfgang, Kottmann, Renzo, Quast, Christian, Glöckner, Frank Oliver
Format: Dataset Open Access
Langue:en
Publié: PANGAEA 2012
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author Yilmaz, Pelin
Iversen, Morten Hvitfeldt
Hankeln, Wolfgang
Kottmann, Renzo
Quast, Christian
Glöckner, Frank Oliver
author_facet Yilmaz, Pelin
Iversen, Morten Hvitfeldt
Hankeln, Wolfgang
Kottmann, Renzo
Quast, Christian
Glöckner, Frank Oliver
collection Datos científicos de ciencias marinas y ambientales
contents The Global Ocean Sampling (GOS) expedition is currently the largest and geographically most comprehensive metagenomic dataset, including samples from the Atlantic, Pacific, and Indian Oceans. This study makes use of the wide range of environmental conditions and habitats encompassed within the GOS sites in order to investigate the ecological structuring of bacterial and archaeal taxon ranks. Community structures based on taxonomically classified 16S ribosomal RNA (rRNA) gene fragments at phylum, class, order, family, and genus rank levels were examined using multivariate statistical analysis, and the results were inspected in the context of oceanographic environmental variables and structured habitat classifications. At all taxon rank levels, community structures of neritic, oceanic, estuarine biomes, as well as other exotic biomes (salt marsh, lake, mangrove), were readily distinguishable from each other. A strong structuring of the communities with chlorophyll a concentration and a weaker yet significant structuring with temperature and salinity were observed. Furthermore, there were significant correlations between community structures and habitat classification. These results were used for further investigation of one-to-one relationships between taxa and environment and provided indications for ecological preferences shaped by primary production for both cultured and uncultured bacterial and archaeal clades.
format Dataset Open Access
id pangaea_https___doi_org_10_1594_PANGAEA_807060
institution PANGAEA
language en
publishDate 2012
publisher PANGAEA
record_format pangaea
spellingShingle Environmental conditions and habitats of GOS sites and bottle data of HOT-ALOHA station
Yilmaz, Pelin
Iversen, Morten Hvitfeldt
Hankeln, Wolfgang
Kottmann, Renzo
Quast, Christian
Glöckner, Frank Oliver
Center for Marine Environmental Sciences; MARUM
The Global Ocean Sampling (GOS) expedition is currently the largest and geographically most comprehensive metagenomic dataset, including samples from the Atlantic, Pacific, and Indian Oceans. This study makes use of the wide range of environmental conditions and habitats encompassed within the GOS sites in order to investigate the ecological structuring of bacterial and archaeal taxon ranks. Community structures based on taxonomically classified 16S ribosomal RNA (rRNA) gene fragments at phylum, class, order, family, and genus rank levels were examined using multivariate statistical analysis, and the results were inspected in the context of oceanographic environmental variables and structured habitat classifications. At all taxon rank levels, community structures of neritic, oceanic, estuarine biomes, as well as other exotic biomes (salt marsh, lake, mangrove), were readily distinguishable from each other. A strong structuring of the communities with chlorophyll a concentration and a weaker yet significant structuring with temperature and salinity were observed. Furthermore, there were significant correlations between community structures and habitat classification. These results were used for further investigation of one-to-one relationships between taxa and environment and provided indications for ecological preferences shaped by primary production for both cultured and uncultured bacterial and archaeal clades.
title Environmental conditions and habitats of GOS sites and bottle data of HOT-ALOHA station
topic Center for Marine Environmental Sciences; MARUM
url https://doi.org/10.1594/PANGAEA.807060