Future Industries Institute, University of South Australia, Mawson Lakes, SA 5095, Australia; Cooperative Research Centre for Contamination Assessment and Remediation of the Environment The University of Newcastle, ACT building, Callaghan, NSW 2308, Australia.
Future Industries Institute, University of South Australia, Mawson Lakes, SA 5095, Australia.
Ecotoxicol Environ Saf. 2018 Jul 30;156:434-442. doi: 10.1016/j.ecoenv.2018.03.006.
In the ecotoxicological assessment of petroleum hydrocarbon-contaminated soil, microbial community profile is important aspect due to their involvement in soil functions. However, soil physicochemical properties and the inhabiting plants could dictate the microbial composition. A question remains unanswered is, how an integrated approach may be utilized to account for various contrasting soil properties, plant types (reference vs. native) and the nature of the hydrocarbon contamination. In this study, we utilized bacterial DNA profiling techniques to investigate the relationship between soil properties, contaminant and plant species. Results identified that Proteobacteria and Actinobacteria were the most abundant bacteria of the 45 phyla identified in the hydrocarbon-contaminated soil. The bulk and rhizosphere microbiome showed that the contaminated soil originally had quite distinct bacterial communities compared to the artificially contaminated soil (mine soil = 95 genera vs. other soils = 2-29 genera). In these cases, not significantly but the native plant slightly increased bacterial diversity and relative abundance in the same soils. Also, within each site, the bacterial community was significantly altered with the hydrocarbon concentration. In this instance, the influence of the contaminant was strong and also with the soil pH and organic matter. These results would significantly contribute to the novel insights on the molecular technique-based hydrocarbon toxicity assessment and the development of the further integrative approach with other microbial community and their metabolic profile in the contaminated sites.
在石油烃污染土壤的生态毒理学评估中,由于微生物群落参与土壤功能,因此微生物群落特征是一个重要方面。然而,土壤理化性质和栖息植物可能决定微生物的组成。目前仍存在一个问题,即如何综合考虑各种不同的土壤特性、植物类型(对照和本地)以及烃污染的性质。在这项研究中,我们利用细菌 DNA 分析技术来研究土壤特性、污染物和植物物种之间的关系。结果表明,在 45 个门的细菌中,变形菌门和放线菌门是最丰富的细菌。土壤本体和根际微生物组表明,与人工污染土壤(矿山土壤=95 属,其他土壤=2-29 属)相比,污染土壤的原始细菌群落具有明显不同的特征。在这些情况下,虽然不是很显著,但本地植物在相同土壤中略微增加了细菌多样性和相对丰度。此外,在每个地点内,随着烃浓度的增加,细菌群落也发生了显著变化。在这种情况下,污染物的影响很强,同时还受到土壤 pH 值和有机质的影响。这些结果将为基于分子技术的烃毒性评估提供新的见解,并为在污染地点进一步整合其他微生物群落及其代谢特征的方法提供新的见解。