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巴西石油储层微生物宏基因组中的新碳氢化合物降解途径。

New hydrocarbon degradation pathways in the microbial metagenome from Brazilian petroleum reservoirs.

机构信息

Microbial Resources Division, Research Center for Chemistry, Biology and Agriculture (CPQBA), University of Campinas - UNICAMP, Campinas, Brazil.

Laboratory of Genomics and Expression, University of Campinas - UNICAMP, Campinas, Brazil.

出版信息

PLoS One. 2014 Feb 26;9(2):e90087. doi: 10.1371/journal.pone.0090087. eCollection 2014.

Abstract

Current knowledge of the microbial diversity and metabolic pathways involved in hydrocarbon degradation in petroleum reservoirs is still limited, mostly due to the difficulty in recovering the complex community from such an extreme environment. Metagenomics is a valuable tool to investigate the genetic and functional diversity of previously uncultured microorganisms in natural environments. Using a function-driven metagenomic approach, we investigated the metabolic abilities of microbial communities in oil reservoirs. Here, we describe novel functional metabolic pathways involved in the biodegradation of aromatic compounds in a metagenomic library obtained from an oil reservoir. Although many of the deduced proteins shared homology with known enzymes of different well-described aerobic and anaerobic catabolic pathways, the metagenomic fragments did not contain the complete clusters known to be involved in hydrocarbon degradation. Instead, the metagenomic fragments comprised genes belonging to different pathways, showing novel gene arrangements. These results reinforce the potential of the metagenomic approach for the identification and elucidation of new genes and pathways in poorly studied environments and contribute to a broader perspective on the hydrocarbon degradation processes in petroleum reservoirs.

摘要

目前对于微生物在油藏中降解碳氢化合物的多样性和代谢途径的了解仍然有限,这主要是由于从如此极端的环境中回收复杂群落存在困难。宏基因组学是一种研究自然环境中以前无法培养的微生物遗传和功能多样性的有用工具。我们使用功能驱动的宏基因组学方法研究了油藏中微生物群落的代谢能力。在这里,我们描述了从油藏中获得的宏基因组文库中涉及芳香族化合物生物降解的新型功能代谢途径。尽管许多推断出的蛋白质与不同有氧和厌氧代谢途径中已知酶具有同源性,但宏基因组片段不包含已知参与碳氢化合物降解的完整簇。相反,宏基因组片段包含属于不同途径的基因,显示出新颖的基因排列。这些结果加强了宏基因组方法在识别和阐明研究较少的环境中的新基因和途径方面的潜力,并为石油储层中碳氢化合物降解过程提供了更广泛的视角。

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