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当代环境变化决定了酸性矿山排水中的微生物多样性模式。

Contemporary environmental variation determines microbial diversity patterns in acid mine drainage.

机构信息

State Key Laboratory of Biocontrol and Guangdong Key Laboratory of Plant Resources, School of Life Sciences, Sun Yat-sen University, Guangzhou, People's Republic of China.

出版信息

ISME J. 2013 May;7(5):1038-50. doi: 10.1038/ismej.2012.139. Epub 2012 Nov 22.

Abstract

A wide array of microorganisms survive and thrive in extreme environments. However, we know little about the patterns of, and controls over, their large-scale ecological distribution. To this end, we have applied a bar-coded 16S rRNA pyrosequencing technology to explore the phylogenetic differentiation among 59 microbial communities from physically and geochemically diverse acid mine drainage (AMD) sites across Southeast China, revealing for the first time environmental variation as the major factor explaining community differences in these harsh environments. Our data showed that overall microbial diversity estimates, including phylogenetic diversity, phylotype richness and pairwise UniFrac distance, were largely correlated with pH conditions. Furthermore, multivariate regression tree analysis also identified solution pH as a strong predictor of relative lineage abundance. Betaproteobacteria, mostly affiliated with the 'Ferrovum' genus, were explicitly predominant in assemblages under moderate pH conditions, whereas Alphaproteobacteria, Euryarchaeota, Gammaproteobacteria and Nitrospira exhibited a strong adaptation to more acidic environments. Strikingly, such pH-dependent patterns could also be observed in a subsequent comprehensive analysis of the environmental distribution of acidophilic microorganisms based on 16S rRNA gene sequences previously retrieved from globally distributed AMD and associated environments, regardless of the long-distance isolation and the distinct substrate types. Collectively, our results suggest that microbial diversity patterns are better predicted by contemporary environmental variation rather than geographical distance in extreme AMD systems.

摘要

大量微生物在极端环境中生存和繁衍。然而,我们对它们大规模生态分布的模式和控制因素知之甚少。为此,我们应用了一种带有条形码的 16S rRNA 焦磷酸测序技术,来探索中国东南地区物理和地球化学性质多样的酸性矿山排水(AMD)点 59 个微生物群落之间的系统发育差异,首次揭示环境变化是这些恶劣环境中群落差异的主要控制因素。我们的数据表明,包括系统发育多样性、基因型丰富度和成对 UniFrac 距离在内的微生物多样性估计值,与 pH 值条件有很大的相关性。此外,多元回归树分析还确定了溶液 pH 值是相对谱系丰度的一个强有力的预测因子。β变形菌,大多数与“Ferrovum”属有关,在中等 pH 值条件下的群落中明显占优势,而α变形菌、古菌、γ变形菌和硝化螺旋菌则对更酸性的环境有很强的适应性。值得注意的是,基于先前从全球分布的 AMD 及其相关环境中检索到的 16S rRNA 基因序列,对嗜酸微生物的环境分布进行的后续综合分析也观察到了这种依赖 pH 值的模式,而不管远距离隔离和独特的基质类型如何。总的来说,我们的研究结果表明,在极端 AMD 系统中,微生物多样性模式更多地由当前的环境变化决定,而不是由地理位置决定。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f69/3635239/08d572807597/ismej2012139f1.jpg

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