Supraglacial bacterial community structures vary across the Greenland ice sheet

Supraglacial bacterial community structures vary across the Greenland ice sheet
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DOI:
10.1093/femsec/fiv164
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发表时间:
2016-02-01
影响因子:
4.2
通讯作者:
Jacobsen, Carsten S.
Jacobsen, Carsten S.
中科院分区:
生物学3区
文献类型:
--
作者:
Cameron, Karen A.;Stibal, Marek;Jacobsen, Carsten S.

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在包括格陵兰冰盖(GrIS)在内的广泛(bbb20万公里(2))生物活跃区内,微生物群落的组成和空间变异性被假设为可变的。研究人员利用共提取DNA和RNA的16S rRNA基因的序列分析和定量PCR技术,检测了GrIS冰晶碎屑和表面冰中的细菌群落。群落在整个冰盖上存在差异,其中82.8%的计算总变化归因于数十公里间隔尺度上的空间分布。sphingobacteraceae、Pseudanabaenaceae和WPS-2相关的扩增子占计算差异的最大比例。冰和冰凝石的细菌群落大致相似(总体R = 0.360, P = 0.002),采样表面类型(冰与冰凝石)对群落差异的影响不大(占总变异率的2.3%)。低温孢子16S rRNA基因扩增子在DNA和RNA上的大部分差异是由Pseudanabaenaceae、Sphingobacteriaceae和WPS-2这3个分类群的变化造成的,它们共同贡献了样本间差异的80.8 +/- 12.6%。GrIS的细菌群落是空间可变的活跃群落,可能受到局部生物输入和物理化学条件的影响。
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.