School of Civil and Environmental Engineering, Georgia Institute of Technology, 311 Ferst Drive, ES&T Building, Room 3321, Atlanta, GA 30332, USA.
Department of Earth, Ocean and Atmospheric Sciences, Florida State University, Tallahassee, FL, USA.
Environ Microbiol. 2020 Jun;22(6):2094-2106. doi: 10.1111/1462-2920.14966. Epub 2020 Mar 16.
Microbial communities ultimately control the fate of petroleum hydrocarbons (PHCs) that enter the natural environment, but the interactions of microbes with PHCs and the environment are highly complex and poorly understood. Genome-resolved metagenomics can help unravel these complex interactions. However, the lack of a comprehensive database that integrates existing genomic/metagenomic data from oil environments with physicochemical parameters known to regulate the fate of PHCs currently limits data analysis and interpretations. Here, we curated a comprehensive, searchable database that documents microbial populations in natural oil ecosystems and oil spills, along with available underlying physicochemical data, geocoded via geographic information system to reveal their geographic distribution patterns. Analysis of the ~2000 metagenome-assembled genomes (MAGs) available in the database revealed strong ecological niche specialization within habitats. Over 95% of the recovered MAGs represented novel taxa underscoring the limited representation of cultured organisms from oil-contaminated and oil reservoir ecosystems. The majority of MAGs linked to oil-contaminated ecosystems were detectable in non-oiled samples from the Gulf of Mexico but not in comparable samples from elsewhere, indicating that the Gulf is primed for oil biodegradation. The repository should facilitate future work toward a predictive understanding of the microbial taxa and their activities that control the fate of oil spills.
微生物群落最终控制着进入自然环境的石油烃(PHC)的命运,但微生物与 PHC 及环境的相互作用非常复杂,目前人们对此了解甚少。基于基因组的宏基因组学可以帮助揭示这些复杂的相互作用。然而,目前缺乏一个综合的数据库,该数据库将已知调节 PHC 命运的油环境中的现有基因组/宏基因组数据与理化参数整合在一起,这限制了数据分析和解释。在这里,我们整理了一个全面的、可搜索的数据库,该数据库记录了自然石油生态系统和溢油事件中的微生物种群,以及可用的潜在理化数据,这些数据通过地理信息系统进行地理编码,以揭示其地理分布模式。对数据库中约 2000 个宏基因组组装基因组(MAG)的分析表明,生境内存在强烈的生态位特化。回收的 MAG 中超过 95%代表新的分类群,这突显了从受油污染和油藏生态系统中培养的生物体的代表性有限。与受油污染的生态系统相关的大多数 MAG 可在墨西哥湾的非含油样本中检测到,但在其他地方的可比样本中则无法检测到,这表明墨西哥湾已经为石油生物降解做好了准备。该存储库应有助于未来的工作,以实现对控制溢油命运的微生物类群及其活动的预测性理解。