five

Hydraulically Fractured Natural-Gas Well Microbial Communities Contain Genomic Halogenation and Dehalogenation Potential

收藏
NIAID Data Ecosystem2026-03-11 收录
下载链接:
https://figshare.com/articles/dataset/Hydraulically_Fractured_Natural-Gas_Well_Microbial_Communities_Contain_Genomic_Halogenation_and_Dehalogenation_Potential/9850469
下载链接
链接失效反馈
官方服务:
资源简介:
Organohalides are routinely detected in fluid produced from hydraulically fractured oil and natural-gas wells, yet the origin and fate of these compounds remain largely unknown. Because few organohalides are disclosed as fracturing fluid additives, one suspected formation mechanism is the reaction of geogenic halides oxidized by injected additives with natural or anthropogenic organic carbon. However, the potential role of microorganisms in organohalide cycling is currently unknown. Here, we uncover the microorganisms and enzymatic systems that contribute to organohalide transformations during hydraulic fracturing through nontarget organohalide chemical analysis and metagenomics. Twenty organohalide compounds were identified in fluid samples produced from two Marcellus Shale natural-gas wells, comprising five structural classes. Genes encoding halogenation and dehalogenation mechanisms were identified in metagenomes assembled from produced fluids collected from four Appalachian Basin natural-gas wells. Metagenomic results show the presence of non-heme chloroperoxidases, enzymes that generate peracetic acid, which can react with dissolved halides to form highly oxidizing hypohalous acid, a halogenation agent for geogenic or anthropogenic organic matter. Microbial organohalide transformation/mineralization could proceed through hydrolytic dehalogenation, with enzymes inferred to operate on haloacetates, haloacids, and haloalkanes of varying carbon chain lengths, some of which are present in these wells. These results indicate that microorganisms may play an underappreciated role in direct and indirect organohalide transformations in hydraulically fractured oil and gas systems.
创建时间:
2019-09-12
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作