Epelde Lur, Lanzén Anders, Blanco Fernando, Urich Tim, Garbisu Carlos
NEIKER-Tecnalia, Department of Ecology and Natural Resources, Soil Microbial Ecology Group, c/ Berreaga 1, E-48160 Derio, Spain
NEIKER-Tecnalia, Department of Ecology and Natural Resources, Soil Microbial Ecology Group, c/ Berreaga 1, E-48160 Derio, Spain.
FEMS Microbiol Ecol. 2015 Jan;91(1):1-11. doi: 10.1093/femsec/fiu007. Epub 2014 Dec 5.
Toxicity of metals released from mine tailings may cause severe damage to ecosystems. A diversity of microorganisms, however, have successfully adapted to such sites. In this study, our objective was to advance the understanding of the indigenous microbial communities of mining-impacted soils. To this end, a metatranscriptomic approach was used to study a heavily metal-contaminated site along a metal concentration gradient (up to 3220 000 and 97 000 mg kg(-1) of Cd, Pb and Zn, respectively) resulting from previous mining. Metal concentration, soil pH and amount of clay were the most important factors determining the structure of soil microbial communities. Interestingly, evenness of the microbial communities, but not its richness, increased with contamination level. Taxa with high metabolic plasticity like Ktedonobacteria and Chloroflexi were found with higher relative abundance in more contaminated samples. However, several taxa belonging to the phyla Actinobacteria and Acidobacteria followed opposite trends in relation to metal pollution. Besides, functional transcripts related to transposition or transfer of genetic material and membrane transport, potentially involved in metal resistance mechanisms, had a higher expression in more contaminated samples. Our results provide an insight into microbial communities in long-term metal-contaminated environments and how they contrast to nearby sites with lower contamination.
尾矿释放的金属毒性可能会对生态系统造成严重破坏。然而,多种微生物已成功适应了此类场所。在本研究中,我们的目标是增进对受采矿影响土壤中本土微生物群落的了解。为此,我们采用了宏转录组学方法来研究一个因先前采矿而沿着金属浓度梯度(镉、铅和锌的浓度分别高达3220000和97000毫克/千克)受到严重金属污染的场地。金属浓度、土壤pH值和粘土含量是决定土壤微生物群落结构的最重要因素。有趣的是,微生物群落的均匀度而非丰富度随污染水平的增加而增加。在污染更严重的样本中,发现具有高代谢可塑性的分类群如鞘脂杆菌纲和绿弯菌门的相对丰度更高。然而,一些属于放线菌门和酸杆菌门的分类群在金属污染方面呈现相反的趋势。此外,与遗传物质的转座或转移以及膜转运相关的功能转录本,可能参与金属抗性机制,在污染更严重的样本中表达更高。我们的研究结果深入了解了长期受金属污染环境中的微生物群落,以及它们与附近污染程度较低的场地有何不同。