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旱地土壤中的活性和总原核生物群落。

Active and total prokaryotic communities in dryland soils.

机构信息

Max-Planck-Institute for Terrestrial Microbiology, Marburg, Germany.

出版信息

FEMS Microbiol Ecol. 2013 Oct;86(1):130-8. doi: 10.1111/1574-6941.12155. Epub 2013 Jun 26.

DOI:10.1111/1574-6941.12155
PMID:23730745
Abstract

The relationship between total and metabolically active soil microbial communities can change drastically with environment. In dry lands, water availability is a key factor limiting cells' activity. We surveyed the diversity of total and active Archaea and Bacteria in soils ranging from arid desert to Mediterranean forests. Thirty composited soil samples were retrieved from five sites along a precipitation gradient, collected from patches located between and under the dominant perennial plant at each site. Molecular fingerprinting was used to site-sort the communities according of their 16S rRNA genes (total community) and their rRNA (active community) amplified by PCR or RT-PCR from directly extracted soil nucleic acids. The differences between soil samples were much higher in total rather than active microbial communities: differences in DNA fingerprints between sites were 1.2 and 2.5 times higher than RNA differences (for Archaea and Bacteria, respectively). Patch-type discrepancies between DNA fingerprints were on average 2.7-19.7 times greater than RNA differences. Moreover, RNA-based community patterns were highly correlated with soil moisture but did not necessarily follow spatial distribution pattern. Our results suggest that in water-limited environments, the spatial patterns obtained by the analysis of active communities are not as robust as those drawn from total communities.

摘要

土壤微生物的总生物量和代谢活性之间的关系会随着环境的变化而发生剧烈变化。在干旱地区,水分的可利用性是限制细胞活性的关键因素。我们调查了从干旱沙漠到地中海森林的土壤中总细菌和活性古菌的多样性。从沿降水梯度的五个地点采集了 30 个组合土壤样本,每个地点的优势多年生植物之间和下方的斑块中采集。采用分子指纹图谱技术,根据 16S rRNA 基因(总群落)和直接从土壤核酸中扩增的 rRNA(活性群落)对群落进行排序。总的微生物群落的土壤样本之间的差异远大于活性微生物群落:位点之间 DNA 指纹图谱的差异分别比 RNA 差异高 1.2 和 2.5 倍(古菌和细菌)。DNA 指纹图谱之间的斑块类型差异平均比 RNA 差异高 2.7-19.7 倍。此外,基于 RNA 的群落模式与土壤水分高度相关,但不一定遵循空间分布模式。我们的结果表明,在水分受限的环境中,通过活性群落分析获得的空间模式不如从总群落中得出的模式稳健。

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