Bacterial Diversity as a BioMarker of Soil Health

细菌多样性作为土壤健康的生物标志

• 批准号: 7228677
• 负责人: DANIEL BARTON OERTHER
• 金额: $ 32.72万
• 依托单位: UNIVERSITY OF CINCINNATI
• 依托单位国家: 美国
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-08-01 至 2009-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7228677
• 关键词: biomarker; biotransformation; carbopolycyclic compound; environmental health; fluorescent in situ hybridization; gene environment interaction; gene expression; genetic library; heavy metals; microarray technology; model; polymerase chain reaction; restriction fragment length polymorphism; ribosomes; soil microbiology; soil pollution

Because of their intimate association with soil contaminants, we HYPOTHESIZE that the diversity [measured as richness and evenness) of the metabolically-active fraction of the soil bacterial community serves as a biomarker of the threat to human health from PAHs and heavy metals polluting Superfund sites. To challenge this hypothesis, we will address three SPECIFIC AIMS: (1) Identify correlations between the results of molecular biology-based measures of bacterial diversity and analytical measures of PAHs and heavy metals during soil ageing and bioremediation of mock Superfund sites; (2) Demonstrate novel molecular biology-based assays to assess the diversity of the metabolically active fraction of the bacterial community in situ; and (3) Demonstrate ecological models to predict soil bacterial community diversity under the influence of mixtures of heavy metals and PAHs. The APPROACH includes: (i) operating mock Superfund sites; (ii) T-RFLP and (iii) whole cell FISH to measure bacterial diversity; (iv) identifying predominant bacterial populations using clone libraries; (v) evaluating the impact of PAH and heavy metals on ribosome genesis; (vi) identifying heavy-metal responsive genes using microarrays; (vii) evaluating metagenomics of PAH degradation; (viii) evaluating real-time PCR to quantify heavy-metal and PAHresponsive genes; (ix) adapting ecological models to predict bacterial diversity; (x) comparing experimental measures of diversity with model predictions; and (xi) evaluating optimum nutrient amendments predicted with the resource-ratio theory. This project is INNOVATIVE because we are using molecular biology-based measures of bacterial diversity as a diagnostic tool to predict the threat to human health at Superfund sites (i.e., bacteria as sentinels for pollution). We expect that the positive findings of this study can be used to evaluate the potential for success of bioremediation strategies as well as to establish an effective endpoint of bioremediation (i.e., when appropriate bacterial diversity has been re-established and the threat to human health significantly reduced).

由于它们与土壤污染物的亲密关联，我们假设多样性 土壤细菌群落的代谢活性分数的[以丰富度和均匀度的衡量 是PAHS和重金属污染超级基金站点威胁人类健康威胁的生物标志物。 为了挑战这一假设，我们将解决三个具体目标：（1）确定相关性 基于分子生物学的结果测量的细菌多样性和PAH的分析度量的结果 土壤老化和模拟超级基金地点的生物修复期间的重金属； （2）演示小说 基于分子生物学的测定，以评估细菌代谢活性分数的多样性 原位社区； （3）展示了生态模型，以预测土壤细菌群落多样性 重金属和PAH的混合物的影响。该方法包括：（i）操作模拟 超级基金网站； （ii）T-RFLP和（iii）全细胞鱼，以测量细菌多样性； （iv）识别 使用克隆文库的主要细菌种群； （v）评估PAH和重金属的影响 关于核糖体的起源； （vi）使用微阵列鉴定重金属反应基因； （vii）评估 PAH降解的宏基因组学； （viii）评估实时PCR以量化重金属和PAHRESTIME 基因； （ix）调整生态模型以预测细菌多样性； （x）比较实验 通过模型预测的多样性度量； （XI）评估预测的最佳养分修订 利用资源比率理论。该项目具有创新性，因为我们使用的是基于分子生物学的项目 细菌多样性作为一种诊断工具，以预测超级基金网站对人类健康的威胁 （即细菌作为哨兵的哨兵）。我们期望这项研究的积极发现可用于 评估生物修复策略成功的潜力，并建立有效的终点 生物修复（即，在重新建立适当的细菌多样性时，对人类的威胁 健康大大降低）。