Expansive microbial metabolic versatility and biodiversity in dynamic Guaymas Basin hydrothermal sediments.
Expansive microbial metabolic versatility and biodiversity in dynamic Guaymas Basin hydrothermal sediments.
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DOI：
10.1038/s41467-018-07418-0
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发表时间：
2018-11-27
影响因子：
16.6
通讯作者：
Baker BJ
中科院分区：
文献类型：
--
作者：
Dombrowski N;Teske AP;Baker BJ
Microbes in Guaymas Basin (Gulf of California) hydrothermal sediments thrive on hydrocarbons and sulfur and experience steep, fluctuating temperature and chemical gradients. The functional capacities of communities inhabiting this dynamic habitat are largely unknown. Here, we reconstructed 551 genomes from hydrothermally influenced, and nearby cold sediments belonging to 56 phyla (40 uncultured). These genomes comprise 22 unique lineages, including five new candidate phyla. In contrast to findings from cold hydrocarbon seeps, hydrothermal-associated communities are more diverse and archaea dominate over bacteria. Genome-based metabolic inferences provide first insights into the ecological niches of these uncultured microbes, including methane cycling in new Crenarchaeota and alkane utilization in ANME-1. These communities are shaped by a high biodiversity, partitioning among nitrogen and sulfur pathways and redundancy in core carbon-processing pathways. The dynamic sediments select for distinctive microbial communities that stand out by expansive biodiversity, and open up new physiological perspectives into hydrothermal ecosystem function. The diversity and function of microbes inhabiting hydrothermal areas is a topic of active interest in marine microbiology. Here, the authors assemble genomes from Guaymas Basin hydrothermal sediments and describe the metabolic roles of the bacterial community, which includes five new bacterial candidate phyla
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DOI：
10.1073/pnas.1722232115
发表时间：
2018-04-17
影响因子：
11.1
作者：
Doolittle, W. Ford;Inkpen, S. Andrew
通讯作者：
Inkpen, S. Andrew
DOI：
10.1073/pnas.1215689109
发表时间：
2012-12-26
影响因子：
11.1
作者：
Craciun, Smaranda;Balskus, Emily P.
通讯作者：
Balskus, Emily P.
DOI：
10.1093/bioinformatics/btp348
发表时间：
2009-08-01
期刊：
Bioinformatics (Oxford, England)
影响因子：
--
作者：
Capella-Gutiérrez S;Silla-Martínez JM;Gabaldón T
通讯作者：
Gabaldón T
影响因子：
28.3
作者：
Dombrowski, Nina;Donaho, John A.;Baker, Brett J.
通讯作者：
Baker, Brett J.
影响因子：
14.9
作者：
Finn RD;Mistry J;Tate J;Coggill P;Heger A;Pollington JE;Gavin OL;Gunasekaran P;Ceric G;Forslund K;Holm L;Sonnhammer EL;Eddy SR;Bateman A
通讯作者：
Bateman A