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废弃稀土矿区土壤微生物群落的结构、变异和共存。

Structure, Variation, and Co-occurrence of Soil Microbial Communities in Abandoned Sites of a Rare Earth Elements Mine.

机构信息

School of Environmental Science and Engineering, Sun Yat-sen University , Guangzhou, 510275, China.

Guangdong Provincial Key Laboratory of Environmental Pollution Control and Remediation Technology, Sun Yat-sen University , Guangzhou, 510275, China.

出版信息

Environ Sci Technol. 2016 Nov 1;50(21):11481-11490. doi: 10.1021/acs.est.6b02284. Epub 2016 Oct 12.

DOI:10.1021/acs.est.6b02284
PMID:27670106
Abstract

Mining activity for rare earth elements (REEs) has caused serious environmental pollution, particularly for soil ecosystems. However, the effects of REEs on soil microbiota are still poorly understood. In this study, soils were collected from abandoned sites of a REEs mine, and the structure, diversity, and co-occurrence patterns of soil microbiota were evaluated by Illumina high-throughput sequencing targeting 16S rRNA genes. Although microbiota developed significantly along with the natural restoration, the microbial structure on the site abandoned for 10 years still significantly differed from that on the unmined site. Potential plant growth promoting bacteria (PGPB) were identified by comparing 16S sequences against a self-constructed PGPB database via BLAST, and it was found that siderophore-producing and phosphorus-solubilizing bacteria were more abundant in the studied soils than in reference soils. Canonical correspondence analysis indicated that species richness of plant community was the prime factor affecting microbial structure, followed by limiting nutrients (total carbon and total nitrogen) and REEs content. Further co-occurring network analysis revealed nonrandom assembly patterns of microbiota in the studied soils. These results increase our understanding of microbial variation and assembly pattern during natural restoration in REE contaminated soils.

摘要

稀土元素(REEs)的开采活动造成了严重的环境污染,特别是对土壤生态系统。然而,REEs 对土壤微生物群的影响仍知之甚少。在这项研究中,我们从废弃的稀土矿区采集了土壤样本,并通过靶向 16S rRNA 基因的 Illumina 高通量测序来评估土壤微生物群落的结构、多样性和共生模式。尽管随着自然恢复,微生物群落发生了显著变化,但废弃 10 年的矿区土壤的微生物结构仍与未开采区有显著差异。我们通过 BLAST 将 16S 序列与自建的 PGPB 数据库进行比较,鉴定出了潜在的植物促生菌(PGPB),发现研究土壤中的铁载体产生菌和磷溶菌比对照土壤更为丰富。典范对应分析表明,植物群落的物种丰富度是影响微生物结构的主要因素,其次是限制养分(总碳和总氮)和 REEs 含量。进一步的共生网络分析揭示了研究土壤中微生物群落的非随机组装模式。这些结果增加了我们对 REE 污染土壤中自然恢复过程中微生物变化和组装模式的理解。

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