Supraglacial bacterial community structures vary across the Greenland ice sheet
Jazyk angličtina Země Velká Británie, Anglie Médium print-electronic
Typ dokumentu časopisecké články, práce podpořená grantem
PubMed
26691594
DOI
10.1093/femsec/fiv164
PII: fiv164
Knihovny.cz E-zdroje
- Klíčová slova
- Greenland, bacteria, biogeography, cryoconite, diversity, ice,
- MeSH
- biodiverzita MeSH
- DNA bakterií genetika MeSH
- ledový příkrov mikrobiologie MeSH
- mikrobiota genetika MeSH
- polymerázová řetězová reakce MeSH
- RNA ribozomální 16S genetika MeSH
- sekvence nukleotidů MeSH
- sekvenční analýza DNA MeSH
- Sphingobacterium genetika izolace a purifikace MeSH
- Synechococcus genetika izolace a purifikace MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
- Geografické názvy
- Grónsko MeSH
- Názvy látek
- DNA bakterií MeSH
- RNA ribozomální 16S MeSH
The composition and spatial variability of microbial communities that reside within the extensive (>200 000 km(2)) biologically active area encompassing the Greenland ice sheet (GrIS) is hypothesized to be variable. We examined bacterial communities from cryoconite debris and surface ice across the GrIS, using sequence analysis and quantitative PCR of 16S rRNA genes from co-extracted DNA and RNA. Communities were found to differ across the ice sheet, with 82.8% of the total calculated variation attributed to spatial distribution on a scale of tens of kilometers separation. Amplicons related to Sphingobacteriaceae, Pseudanabaenaceae and WPS-2 accounted for the greatest portion of calculated dissimilarities. The bacterial communities of ice and cryoconite were moderately similar (global R = 0.360, P = 0.002) and the sampled surface type (ice versus cryoconite) did not contribute heavily towards community dissimilarities (2.3% of total variability calculated). The majority of dissimilarities found between cryoconite 16S rRNA gene amplicons from DNA and RNA was calculated to be the result of changes in three taxa, Pseudanabaenaceae, Sphingobacteriaceae and WPS-2, which together contributed towards 80.8 ± 12.6% of dissimilarities between samples. Bacterial communities across the GrIS are spatially variable active communities that are likely influenced by localized biological inputs and physicochemical conditions.
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