Gleeson Deirdre, McDermott Frank, Clipson Nicholas
Microbial Ecology Group, Department of Industrial Microbiology, University College Dublin, Belfield, Dublin 4, Ireland.
Environ Microbiol. 2006 Mar;8(3):383-93. doi: 10.1111/j.1462-2920.2005.00903.x.
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.
这项针对一处矿化程度各异且经热液蚀变的花岗岩露头的实验室研究，调查了岩石表面化学性质和重金属含量对当地细菌种群的影响。结果表明，重金属浓度升高对细菌群落结构产生了深远影响，在某些核糖型与特定化学/重金属元素之间发现了密切关系。使用自动核糖体基因间序列分析（ARISA）来评估细菌多样性的性质和程度，并将其与化学分析和多变量统计相结合，以确定影响细菌群落结构的主要地球化学因素。随机化检验揭示了样本之间细菌结构的显著变化，而典范对应分析（CCA）将每个单独的ARISA图谱与化学变量（矿物学、主要元素和重金属浓度）的线性组合相关联，揭示了与ARISA数据变化相关的地球化学因素。进行方差分析以进一步探究个体核糖型与化学/重金属组成之间的相互作用，结果显示高比例的核糖型与重金属显著相关。
