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油斑模拟揭示了烃类降解复杂群落中存在的基质专化性。

Simulation of oil plume reveals substrate specialization within a complex community of hydrocarbon degraders.

机构信息

Ecology Department, Climate and Ecosystem Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720.

Department of Environmental Science, Policy and Management, University of California, Berkeley, CA 94720.

出版信息

Proc Natl Acad Sci U S A. 2017 Jul 11;114(28):7432-7437. doi: 10.1073/pnas.1703424114. Epub 2017 Jun 26.

Abstract

The (DWH) accident released an estimated 4.1 million barrels of oil and 10 mol of natural gas into the Gulf of Mexico, forming deep-sea plumes of dispersed oil droplets and dissolved gases that were largely degraded by bacteria. During the course of this 3-mo disaster a series of different bacterial taxa were enriched in succession within deep plumes, but the metabolic capabilities of the different populations that controlled degradation rates of crude oil components are poorly understood. We experimentally reproduced dispersed plumes of fine oil droplets in Gulf of Mexico seawater and successfully replicated the enrichment and succession of the principal oil-degrading bacteria observed during the DWH event. We recovered near-complete genomes, whose phylogeny matched those of the principal biodegrading taxa observed in the field, including the DWH Oceanospirillales (now identified as a species), multiple species of , , and other members of Gammaproteobacteria, Flavobacteria, and Rhodobacteria. Metabolic pathway analysis, combined with hydrocarbon compositional analysis and species abundance data, revealed substrate specialization that explained the successional pattern of oil-degrading bacteria. The fastest-growing bacteria used short-chain alkanes. The analyses also uncovered potential cooperative and competitive relationships, even among close relatives. We conclude that patterns of microbial succession following deep ocean hydrocarbon blowouts are predictable and primarily driven by the availability of liquid petroleum hydrocarbons rather than natural gases.

摘要

(DWH)事故向墨西哥湾释放了约 410 万桶石油和 10 摩尔天然气,形成了深海分散油滴和溶解气体羽流,这些羽流在很大程度上被细菌降解。在这场为期 3 个月的灾难中,一系列不同的细菌类群在深海羽流中相继富集,但控制原油成分降解率的不同种群的代谢能力却知之甚少。我们在墨西哥湾海水中实验性地复制了分散的细油滴羽流,并成功地复制了在 DWH 事件中观察到的主要石油降解细菌的富集和演替。我们获得了近完整的基因组,其系统发育与现场观察到的主要生物降解分类群相匹配,包括 DWH Oceanospirillales(现在被鉴定为一个 种)、多种 、 、以及γ变形菌、黄杆菌和红杆菌的其他成员。代谢途径分析,结合烃类组成分析和物种丰度数据,揭示了底物的特异性,解释了石油降解细菌的演替模式。生长最快的细菌使用短链烷烃。分析还揭示了潜在的合作和竞争关系,甚至在近亲之间也是如此。我们的结论是,深海碳氢化合物喷溢后微生物演替的模式是可预测的,主要由液态石油烃的可用性驱动,而不是天然气。

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