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细菌群落反映了巴西红树林沉积物中污染物水平的空间变化。

Bacterial communities reflect the spatial variation in pollutant levels in Brazilian mangrove sediment.

机构信息

Laboratório de Ecologia Microbiana Molecular, Instituto de Microbiologia Paulo de Góes, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil.

出版信息

Antonie Van Leeuwenhoek. 2011 Feb;99(2):341-54. doi: 10.1007/s10482-010-9499-0. Epub 2010 Aug 29.

Abstract

The majority of oil from oceanic oil spills converges on coastal ecosystems such as mangrove forests. A major challenge to mangrove bioremediation is defining the mangrove's pollution levels and measuring its recuperation from pollution. Bioindicators can provide a welcome tool for defining such recovery. To determine if the microbial profiles reflected variation in the pollutants, samples from different locations within a single mangrove with a history of exposure to oil were chemically characterised, and the microbial populations were evaluated by a comprehensive range of conventional and molecular methods. Multivariate ordination of denaturing gradient gel electrophoresis (DGGE) microbial community fingerprints revealed a pronounced separation between the sediment and rhizosphere samples for all analysed bacterial communities (Bacteria, Betaproteobacteria, Alphaproteobacteria, Actinobacteria and Pseudomonas). A Mantel test revealed significant relationships between the sediment chemical fertility and oil-derived pollutants, most of the bacterial community fingerprints from sediment samples, and the counts by different cultivation strategies. The level of total petroleum hydrocarbons was significantly associated with the Bacteria and Betaproteobacteria fingerprints, whereas anthracene and the total level of polycyclic aromatic hydrocarbons were associated with the Actinobacteria. These results show that microbial communities from the studied mangrove reflect the spatial variation of the chemicals in the sediment, demonstrating the specific influences of oil-derived pollutants.

摘要

海洋溢油中的大部分油类物质会汇集到红树林等沿海生态系统中。红树林生物修复的一个主要挑战是确定红树林的污染水平并衡量其对污染的恢复能力。生物标志物可以为定义这种恢复提供一个受欢迎的工具。为了确定微生物特征是否反映了污染物的变化,对具有石油暴露史的单一红树林内不同位置的样本进行了化学特征分析,并通过一系列全面的常规和分子方法评估了微生物种群。变性梯度凝胶电泳(DGGE)微生物群落指纹图谱的多变量排序显示,所有分析的细菌群落(细菌、β变形菌、α变形菌、放线菌和假单胞菌)的沉积物和根际样本之间存在明显的分离。Mantel 检验显示,沉积物化学肥力与石油衍生污染物、大部分沉积物样本的细菌群落指纹图谱以及不同培养策略的计数之间存在显著关系。总石油烃的水平与细菌和β变形菌指纹图谱显著相关,而蒽和多环芳烃的总水平与放线菌相关。这些结果表明,研究红树林中的微生物群落反映了沉积物中化学物质的空间变化,表明了石油衍生污染物的特定影响。

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