Metagenomic analysis of pristine oil sheds new light on the global distribution of microbial genetic repertoire in hydrocarbon-associated ecosystems.

microLife Pub Date : 2025-01-23 eCollection Date: 2025-01-01 DOI:10.1093/femsml/uqae027
Julia Plewka, Armando Alibrandi, Till L V Bornemann, Sarah P Esser, Tom L Stach, Katharina Sures, Jannis Becker, Cristina Moraru, André Soares, Rolando di Primio, Jens Kallmeyer, Alexander J Probst
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Abstract

Oil reservoirs are society's primary source of hydrocarbons. While microbial communities in industrially exploited oil reservoirs have been investigated in the past, pristine microbial communities in untapped oil reservoirs are little explored, as are distribution patterns of respective genetic signatures. Here, we show that a pristine oil sample contains a complex community consisting of bacteria and fungi for the degradation of hydrocarbons. We identified microorganisms and their pathways for the degradation of methane, n-alkanes, mono-aromatic, and polycyclic aromatic compounds in a metagenome retrieved from biodegraded petroleum encountered in a subsurface reservoir in the Barents Sea. Capitalizing on marker genes from metagenomes and public data mining, we compared the prokaryotes, putative viruses, and putative plasmids of the sampled site to those from 10 other hydrocarbon-associated sites, revealing a shared network of species and genetic elements across the globe. To test for the potential dispersal of the microbes and predicted elements via seawater, we compared our findings to the Tara Ocean dataset, resulting in a broad distribution of prokaryotic and viral signatures. Although frequently shared between hydrocarbon-associated sites, putative plasmids, however, showed little coverage in the Tara Oceans dataset, suggesting an undiscovered mode of transfer between hydrocarbon-affected ecosystems. Based on our analyses, genetic information is globally shared between oil reservoirs and hydrocarbon-associated sites, and we propose that currents and other physical occurrences within the ocean along with deep aquifers are major distributors of prokaryotes and viruses into these subsurface ecosystems.

原始原油的宏基因组分析为烃类生态系统中微生物遗传库的全球分布提供了新的思路。
油藏是社会碳氢化合物的主要来源。虽然过去已经对工业开发油藏中的微生物群落进行了研究,但对未开发油藏中的原始微生物群落以及各自遗传特征的分布模式进行了很少的探索。在这里,我们展示了一个原始的石油样品包含一个复杂的群落,由细菌和真菌组成,用于碳氢化合物的降解。研究人员从巴伦支海地下储层生物降解石油中提取的宏基因组中,确定了微生物及其降解甲烷、正烷烃、单芳烃和多环芳烃化合物的途径。利用宏基因组的标记基因和公共数据挖掘,我们将采样地点的原核生物、假定的病毒和假定的质粒与其他10个碳氢化合物相关地点的质粒进行了比较,揭示了全球范围内物种和遗传元素的共享网络。为了测试微生物和预测元素通过海水的潜在扩散,我们将我们的发现与Tara海洋数据集进行了比较,结果显示原核生物和病毒特征的广泛分布。尽管在碳氢化合物相关的地点之间经常共享,但假定的质粒在塔拉海洋数据集中的覆盖率很小,这表明在受碳氢化合物影响的生态系统之间存在一种未被发现的转移模式。根据我们的分析,遗传信息在油藏和与碳氢化合物相关的地点之间是全球共享的,我们认为洋流和海洋中的其他物理事件以及深层含水层是原核生物和病毒进入这些地下生态系统的主要分销商。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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CiteScore
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