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Title: Analysis of the functional gene structure and metabolic potential of microbial community in high arsenic groundwater

Journal Article · · Water Research
 [1];  [1];  [1];  [2];  [3];  [3];  [1];  [1];  [3]
  1. China Univ. of Geosciences, Wuhan (China)
  2. Chinese Academy of Sciences (CAS), Beijing (China)
  3. Univ. of Oklahoma, Norman, OK (United States)

Microbial functional potential in high arsenic (As) groundwater ecosystems remains largely unknown. In this study, the microbial community functional composition of nineteen groundwater samples was investigated using a functional gene array (GeoChip 5.0). Samples were divided into low and high As groups based on the clustering analysis of geochemical parameters and microbial functional structures. The results showed that As related genes (arsC, arrA), sulfate related genes (dsrA and dsrB), nitrogen cycling related genes (ureC, amoA, and hzo) and methanogen genes (mcrA, hdrB) in groundwater samples were correlated with As, SO42-, NH4+ or CH4 concentrations, respectively. Canonical correspondence analysis (CCA) results indicated that some geochemical parameters including As, total organic content, SO42-, NH4+, oxidation-reduction potential (ORP) and pH were important factors shaping the functional microbial community structures. Alkaline and reducing conditions with relatively low SO42-, ORP, and high NH4+, as well as SO42- and Fe reduction and ammonification involved in microbially-mediated geochemical processes could be associated with As enrichment in groundwater. This study provides an overall picture of functional microbial communities in high As groundwater aquifers, and also provides insights into the critical role of microorganisms in As biogeochemical cycling.

Research Organization:
Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
Sponsoring Organization:
USDOE Office of Science (SC)
Grant/Contract Number:
AC02-05CH11231
OSTI ID:
1506268
Journal Information:
Water Research, Vol. 123, Issue C; ISSN 0043-1354
Publisher:
ElsevierCopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 58 works
Citation information provided by
Web of Science

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Cited By (4)

Fluoride contributes to the shaping of microbial community in high fluoride groundwater in Qiji County, Yuncheng City, China journal October 2019
Exploring Biodiversity and Arsenic Metabolism of Microbiota Inhabiting Arsenic-Rich Groundwaters in Northern Italy journal July 2019
Abundance and diversity of iron reducing bacteria communities in the sediments of a heavily polluted freshwater lake journal October 2018
Arsenic mobilization in a high arsenic groundwater revealed by metagenomic and Geochip analyses journal September 2019

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