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Metagenomic Functional Potential Predicts Degradation Rates of a Model Organophosphorus Xenobiotic in Pesticide Contaminated Soils

机译:超基因组功能电位预测农药污染土壤中模型有机磷异生物的降解速率。

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摘要

Chemical contamination of natural and agricultural habitats is an increasing global problem and a major threat to sustainability and human health. Organophosphorus (OP) compounds are one major class of contaminant and can undergo microbial degradation, however, no studies have applied system-wide ecogenomic tools to investigate OP degradation or use metagenomics to understand the underlying mechanisms of biodegradation in situ and predict degradation potential. Thus, there is a lack of knowledge regarding the functional genes and genomic potential underpinning degradation and community responses to contamination. Here we address this knowledge gap by performing shotgun sequencing of community DNA from agricultural soils with a history of pesticide usage and profiling shifts in functional genes and microbial taxa abundance. Our results showed two distinct groups of soils defined by differing functional and taxonomic profiles. Degradation assays suggested that these groups corresponded to the organophosphorus degradation potential of soils, with the fastest degrading community being defined by increases in transport and nutrient cycling pathways and enzymes potentially involved in phosphorus metabolism. This was against a backdrop of taxonomic community shifts potentially related to contamination adaptation and reflecting the legacy of exposure. Overall our results highlight the value of using holistic system-wide metagenomic approaches as a tool to predict microbial degradation in the context of the ecology of contaminated habitats.
机译:天然和农业生境的化学污染是一个日益严重的全球性问题,对可持续性和人类健康构成重大威胁。有机磷(OP)化合物是一类主要的污染物,会发生微生物降解,但是,尚无研究应用系统范围内的生态基因组学工具来研究OP降解或使用宏基因组学来了解原位生物降解的潜在机制并预测降解潜力。因此,缺乏关于功能基因和潜在的基因组潜力的知识,这些潜在的基因基础是降解和群落对污染的反应。在这里,我们通过对农用土壤的DNA进行散弹枪测序来解决这一知识鸿沟,这些DNA具有使用农药的历史以及功能基因和微生物类群的丰度变化。我们的结果表明,通过不同的功能和分类学特征将土壤分为两组。降解测定表明,这些基团对应于土壤的有机磷降解潜力,其中最快的降解群落是通过增加的运输和养分循环途径以及可能参与磷代谢的酶来定义的。这是在生物分类学社区转移可能与污染适应有关的背景下反映出来的。总的来说,我们的结果突出了在污染的生境生态环境中,使用全系统的宏基因组学方法作为预测微生物降解的工具的价值。

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