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Arsenic mobilization in a high arsenic groundwater revealed by metagenomic and Geochip analyses.


ABSTRACT: Microbial metabolisms of arsenic, iron, sulfur, nitrogen and organic matter play important roles in arsenic mobilization in aquifer. In this study, microbial community composition and functional potentials in a high arsenic groundwater were investigated using integrated techniques of RNA- and DNA-based 16S rRNA gene sequencing, metagenomic sequencing and functional gene arrays. 16S rRNA gene sequencing showed the sample was dominated by members of Proteobacteria (62.3-75.2%), such as genera of Simplicispira (5.7-6.7%), Pseudomonas (3.3-5.7%), Ferribacterium (1.6-4.4%), Solimonas (1.8-3.2%), Geobacter (0.8-2.2%) and Sediminibacterium (0.6-2.4%). Functional potential analyses indicated that organics degradation, assimilatory sulfate reduction, As-resistant pathway, iron reduction, ammonification, nitrogen fixation, denitrification and dissimilatory nitrate reduction to ammonia were prevalent. The composition and function of microbial community and reconstructed genome bins suggest that high level of arsenite in the groundwater may be attributed to arsenate release from iron oxides reductive dissolution by the iron-reducing bacteria, and subsequent arsenate reduction by ammonia-producing bacteria featuring ars operon. This study highlights the relationship between biogeochemical cycling of arsenic and nitrogen in groundwater, which potentially occur in other aquifers with high levels of ammonia and arsenic.

SUBMITTER: Jiang Z 

PROVIDER: S-EPMC6736849 | biostudies-literature | 2019 Sep

REPOSITORIES: biostudies-literature

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Arsenic mobilization in a high arsenic groundwater revealed by metagenomic and Geochip analyses.

Jiang Zhou Z   Li Ping P   Wang Yanhong Y   Liu Han H   Wei Dazhun D   Yuan Changguo C   Wang Helin H  

Scientific reports 20190910 1


Microbial metabolisms of arsenic, iron, sulfur, nitrogen and organic matter play important roles in arsenic mobilization in aquifer. In this study, microbial community composition and functional potentials in a high arsenic groundwater were investigated using integrated techniques of RNA- and DNA-based 16S rRNA gene sequencing, metagenomic sequencing and functional gene arrays. 16S rRNA gene sequencing showed the sample was dominated by members of Proteobacteria (62.3-75.2%), such as genera of S  ...[more]

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