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Structural diversity of bacterial communities in a heavy metal mineralized granite outcrop

机译:重金属矿化花岗岩露头细菌群落的结构多样性

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摘要

This laboratory study of a variably mineralized and hydrothermally altered granite outcrop investigated the influences of rock-surface chemistry and heavy metal content on resident bacterial populations. Results indicated that elevated heavy metal concentrations had a profound impact on bacterial community structure, with strong relationships found between certain ribotypes and particular chemical/heavy metal elements. Automated ribosomal intergenic sequence analysis (ARISA) was used to assess the nature and extent of bacterial diversity, and this was combined with chemical analysis and multivariate statistics to identify the main geochemical factors influencing bacterial community structure. A randomization test revealed significant changes in bacterial structure between samples, while canonical correspondence analysis (CCA) related each individual ARISA profile to linear combinations of the chemical variables (mineralogy, major element and heavy metal concentrations) revealing the geochemical factors that correlated with changes in the ARISA data. ANOVA was performed to further explore interactions between individual ribotypes and chemical/heavy metal composition, and revealed that a high proportion of ribotypes correlated significantly with heavy metals.
机译:这项对矿化程度和矿化程度不同的花岗岩露头的实验室研究,研究了岩石表面化学和重金属含量对居民细菌种群的影响。结果表明,升高的重金属浓度对细菌群落结构有深远的影响,在某些核糖型和特定的化学/重金属元素之间存在很强的关系。自动化核糖体基因间序列分析(ARISA)用于评估细菌多样性的性质和程度,并将其与化学分析和多元统计相结合,以确定影响细菌群落结构的主要地球化学因素。一项随机化测试揭示了样品之间细菌结构的显着变化,而规范对应分析(CCA)将每个ARISA个人资料与化学变量(矿物学,主要元素和重金属浓度)的线性组合相关联,从而揭示了与变化相关的地球化学因素。 ARISA数据。进行方差分析以进一步探索单个核糖型与化学/重金属组成之间的相互作用,并发现高比例的核糖型与重金属显着相关。

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