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Influence of geogenic factors on microbial communities in metallogenic Australian soils

机译:地质成因对澳大利亚成矿土壤中微生物群落的影响

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摘要

Links between microbial community assemblages and geogenic factors were assessed in 187 soil samples collected from four metal-rich provinces across Australia. Field-fresh soils and soils incubated with soluble Au(III) complexes were analysed using three-domain multiplex-terminal restriction fragment length polymorphism, and phylogenetic (PhyloChip) and functional (GeoChip) microarrays. Geogenic factors of soils were determined using lithological-, geomorphological- and soil-mapping combined with analyses of 51 geochemical parameters. Microbial communities differed significantly between landforms, soil horizons, lithologies and also with the occurrence of underlying Au deposits. The strongest responses to these factors, and to amendment with soluble Au(III) complexes, was observed in bacterial communities. PhyloChip analyses revealed a greater abundance and diversity of Alphaproteobacteria (especially Sphingomonas spp.), and Firmicutes (Bacillus spp.) in Au-containing and Au(III)-amended soils. Analyses of potential function (GeoChip) revealed higher abundances of metal-resistance genes in metal-rich soils. For example, genes that hybridised with metal-resistance genes copA, chrA and czcA of a prevalent aurophillic bacterium, Cupriavidus metallidurans CH34, occurred only in auriferous soils. These data help establish key links between geogenic factors and the phylogeny and function within soil microbial communities. In particular, the landform, which is a crucial factor in determining soil geochemistry, strongly affected microbial community structures.
机译:在澳大利亚四个富金属省份收集的187个土壤样品中,评估了微生物群落组成与地质因素之间的联系。使用三域多重末端限制性片段长度多态性,系统发育(PhyloChip)和功能性(GeoChip)微阵列分析田间新鲜土壤和与可溶性Au(III)配合物孵育的土壤。利用岩性,地貌和土壤图谱,结合51种地球化学参数的分析,确定了土壤的成因。地貌,土壤层位,岩性之间的微生物群落差异很大,同时潜在的金矿床也存在差异。在细菌群落中观察到对这些因素的最强反应以及对可溶性Au(III)配合物的修饰。 PhyloChip分析显示,在含Au和Au(III)改良土壤中,Alphaproteobacteria细菌(尤其是Sphingomonas spp。)和Firmicutes(Bacillus spp。)具有更高的丰度和多样性。潜在功能(GeoChip)的分析显示,富金属土壤中的金属抗性基因丰度更高。例如,仅与无色土壤中与流行的嗜酸性细菌,Cupriavidus metallidurans CH34的金属抗性基因copA,chrA和czcA杂交的基因。这些数据有助于建立土壤微生物群落中的地理成因与系统发育和功能之间的关键联系。特别地,地形是决定土壤地球化学的关键因素,对微生物群落结构影响很大。

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