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High-resolution analyses reveal structural diversity patterns of microbial communities in Chromite Ore Processing Residue (COPR) contaminated soils

机译:高分辨率分析揭示了铬铁矿加工残渣(COPR)污染土壤中微生物群落的结构多样性模式

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摘要

To explore how heavy metal contamination in Chromite Ore Processing Residue (COPR) disposal sites determine the dissimilarities of indigenous microbial communities, 16S rRNA gene MiSeq sequencing and advanced statistical methods were applied. 13 soil samples were collected from three COPR disposal sites in Mouding of southwestern, Shangnan of northwestern and Yima of central China. The results of analyses of variance (ANOVA), similarities (ANOSIM), and non-metric multidimensional scaling (NMDS) showed that the structural diversity of the microbial communities in the samples with high total chromium (Cr) content (more than 300 mg kg(-1); High group) were significantly lesser than in the Low group (less than 90 mg kg(-1)) regardless of their geographical distribution. But their diversity had virtually rehabilitated under the pressures of long-term metal contamination. Furthermore, the similarity percentage (SIMPER) analysis indicated that the major dissimilarity contributors Micrococcaceae, Delftia, and Streptophyta, possibly having Cr(VI)-resistant and/or Cr(VI)-reducing capability, were dominant in the High group, while Ramlibacter and Gemmatimonas with potential resistances to other heavy metals were prevalent in the Low group. In addition, the multivariate regression tree (MRT), aggregated boosted tree (ABT), and Mantel test revealed that total Cr content affiliated with Cr(VI) was the principal factor shaping the dissimilarities between the soil microbial communities in the COPR sites. Our findings provide a deep insight of the influence of these heavy metals on the microbial communities in the COPR disposal sites and will facilitate bioremediation on such site. (C) 2017 Elsevier Ltd. All rights reserved.
机译:为了探索铬铁矿加工残渣(COPR)处理场中的重金属污染如何确定本地微生物群落的差异,应用了16S rRNA基因MiSeq测序和先进的统计方法。从西南的牟定,西北的商南和中部的义马三个COPR处理场收集了13个土壤样品。方差分析(ANOVA),相似性分析(ANOSIM)和非度量多维标度分析(NMDS)的分析结果表明,总铬(Cr)含量高(大于300 mg kg)的样品中微生物群落的结构多样性(-1);高剂量组)不论其地理分布如何,均显着低于低剂量组(小于90 mg kg(-1))。但是,在长期金属污染的压力下,它们的多样性实际上得到了恢复。此外,相似度百分比(SIMPER)分析表明,可能具有Cr(VI)和/或Cr(VI)还原能力的微球菌科,德尔福特菌和链霉菌的主要差异来源是High组,而Ramlibacter Low组中普遍存在对其他重金属具有潜在抗性的芽孢杆菌属。此外,多元回归树(MRT),聚集增强树(ABT)和Mantel测试表明,与Cr(VI)相关的总Cr含量是影响COPR站点土壤微生物群落之间差异的主要因素。我们的发现提供了对这些重金属对COPR处置场所中微生物群落影响的深刻见解,并将有助于在该场所进行生物修复。 (C)2017 Elsevier Ltd.保留所有权利。

著录项

  • 来源
    《Chemosphere》 |2017年第9期|266-276|共11页
  • 作者单位

    Cent S Univ, Sch Met & Environm, Inst Environm Sci & Engn, Changsha 410083, Hunan, Peoples R China|Natl Engn Res Ctr Heavy Met Pollut Control & Trea, Changsha 410083, Hunan, Peoples R China;

    Cent S Univ, Sch Met & Environm, Inst Environm Sci & Engn, Changsha 410083, Hunan, Peoples R China|Henan Univ, Coll Environm & Planning, Kaifeng 475004, Peoples R China;

    Cent S Univ, Sch Met & Environm, Inst Environm Sci & Engn, Changsha 410083, Hunan, Peoples R China|Natl Engn Res Ctr Heavy Met Pollut Control & Trea, Changsha 410083, Hunan, Peoples R China;

    Cent S Univ, Sch Met & Environm, Inst Environm Sci & Engn, Changsha 410083, Hunan, Peoples R China|Natl Engn Res Ctr Heavy Met Pollut Control & Trea, Changsha 410083, Hunan, Peoples R China;

    Cent S Univ, Sch Met & Environm, Inst Environm Sci & Engn, Changsha 410083, Hunan, Peoples R China|Natl Engn Res Ctr Heavy Met Pollut Control & Trea, Changsha 410083, Hunan, Peoples R China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Microbial communities; 16S rRNA; MiSeq sequencing; Chromite Ore Processing Residue (COPR); Heavy metals;

    机译:微生物群落;16S rRNA;MiSeq测序;铬铁矿渣(COPR);重金属;

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