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城市棕地土壤微生物群落组成及其对污染物的耐受能力。

Soil Microbial Community Composition and Tolerance to Contaminants in an Urban Brownfield Site.

机构信息

Ecology & Evolutionary Biology, University of California, Los Angeles, Los Angeles, CA, USA.

Ecology, Evolution, and Behavior Program, Michigan State University, Lansing, MI, USA.

出版信息

Microb Ecol. 2023 Apr;85(3):998-1012. doi: 10.1007/s00248-022-02061-1. Epub 2022 Jul 8.

Abstract

Brownfields are unused sites that contain hazardous substances due to previous commercial or industrial use. The sites are inhospitable for many organisms, but some fungi and microbes can tolerate and thrive in the nutrient-depleted and contaminated soils. However, few studies have characterized the impacts of long-term contamination on soil microbiome composition and diversity at brownfields. This study focuses on an urban brownfield-a former rail yard in Los Angeles that is contaminated with heavy metals, volatile organic compounds, and petroleum-derived pollutants. We anticipate that heavy metals and organic pollutants will shape soil microbiome diversity and that several candidate fungi and bacteria will be tolerant to the contaminants. We sequence three gene markers (16S ribosomal RNA, 18S ribosomal RNA, and the fungal internal transcribed spacer (FITS)) in 55 soil samples collected at five depths to (1) profile the composition of the soil microbiome across depths; (2) determine the extent to which hazardous chemicals predict microbiome variation; and (3) identify microbial taxonomic groups that may metabolize these contaminants. Detected contaminants in the samples included heavy metals, petroleum hydrocarbons, polycyclic aromatic hydrocarbons, and volatile organic compounds. Bacterial, eukaryotic, and fungal communities all varied with depth and with concentrations of arsenic, chromium, cobalt, and lead. 18S rRNA microbiome richness and fungal richness were positively correlated with lead and cobalt levels, respectively. Furthermore, bacterial Paenibacillus and Iamia, eukaryotic Actinochloris, and fungal Alternaria were enriched in contaminated soils compared to uncontaminated soils and represent taxa of interest for future bioremediation research. Based on our results, we recommend incorporating DNA-based multi-marker microbial community profiling at multiple sites and depths in brownfield site assessment standard methods and restoration.

摘要

棕地是指由于先前的商业或工业用途而含有有害物质的未使用场地。这些场地对许多生物来说是不适宜的,但有些真菌和微生物可以在营养匮乏和污染的土壤中耐受和生长。然而,很少有研究描述了长期污染对棕地土壤微生物组组成和多样性的影响。本研究关注一个城市棕地——洛杉矶的一个前铁路场,该场地受到重金属、挥发性有机化合物和石油衍生污染物的污染。我们预计重金属和有机污染物将塑造土壤微生物组的多样性,并且有几种候选真菌和细菌将耐受这些污染物。我们对从五个深度采集的 55 个土壤样本中的三个基因标记物(16S 核糖体 RNA、18S 核糖体 RNA 和真菌内部转录间隔区(FITS))进行测序,以:(1) 描绘土壤微生物组在各深度的组成;(2) 确定危险化学品在多大程度上预测微生物组的变化;以及 (3) 确定可能代谢这些污染物的微生物分类群。样本中检测到的污染物包括重金属、石油碳氢化合物、多环芳烃和挥发性有机化合物。细菌、真核生物和真菌群落都随深度和砷、铬、钴和铅的浓度而变化。18S rRNA 微生物组丰富度和真菌丰富度分别与铅和钴水平呈正相关。此外,与未污染土壤相比,细菌 Paenibacillus 和 Iamia、真核生物 Actinochloris 和真菌 Alternaria 在污染土壤中更为丰富,是未来生物修复研究的关注类群。根据我们的结果,我们建议在棕地场地评估标准方法和修复中,在多个地点和深度纳入基于 DNA 的多标记微生物群落分析。

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