Microbial community in high arsenic shallow groundwater aquifers in Hetao Basin of Inner Mongolia, China.
A survey was carried out on the microbial community of 20 groundwater samples (4 low and 16 high arsenic groundwater) and 19 sediments from three boreholes (two high arsenic and one low arsenic boreholes) in a high arsenic groundwater system located in Hetao Basin, Inner Mongolia, using the 454 pyro...
| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Public Library of Science (PLoS)
2015-01-01
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| Series: | PLoS ONE |
| Online Access: | https://doi.org/10.1371/journal.pone.0125844 |
| _version_ | 1818682376032616448 |
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| author | Ping Li Yanhong Wang Xinyue Dai Rui Zhang Zhou Jiang Dawei Jiang Shang Wang Hongchen Jiang Yanxin Wang Hailiang Dong |
| author_facet | Ping Li Yanhong Wang Xinyue Dai Rui Zhang Zhou Jiang Dawei Jiang Shang Wang Hongchen Jiang Yanxin Wang Hailiang Dong |
| author_sort | Ping Li |
| collection | DOAJ |
| description | A survey was carried out on the microbial community of 20 groundwater samples (4 low and 16 high arsenic groundwater) and 19 sediments from three boreholes (two high arsenic and one low arsenic boreholes) in a high arsenic groundwater system located in Hetao Basin, Inner Mongolia, using the 454 pyrosequencing approach. A total of 233,704 sequence reads were obtained and classified into 12-267 operational taxonomic units (OTUs). Groundwater and sediment samples were divided into low and high arsenic groups based on measured geochemical parameters and microbial communities, by hierarchical clustering and principal coordinates analysis. Richness and diversity of the microbial communities in high arsenic sediments are higher than those in high arsenic groundwater. Microbial community structure was significantly different either between low and high arsenic samples or between groundwater and sediments. Acinetobacter, Pseudomonas, Psychrobacter and Alishewanella were the top four genera in high arsenic groundwater, while Thiobacillus, Pseudomonas, Hydrogenophaga, Enterobacteriaceae, Sulfuricurvum and Arthrobacter dominated high arsenic sediments. Archaeal sequences in high arsenic groundwater were mostly related to methanogens. Biota-environment matching and co-inertia analyses showed that arsenic, total organic carbon, SO4(2-), SO4(2-)/total sulfur ratio, and Fe(2+) were important environmental factors shaping the observed microbial communities. The results of this study expand our current understanding of microbial ecology in high arsenic groundwater aquifers and emphasize the potential importance of microbes in arsenic transformation in the Hetao Basin, Inner Mongolia. |
| first_indexed | 2024-12-17T10:17:51Z |
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| id | doaj.art-0613a31afa9442a194968c113499dce7 |
| institution | Directory Open Access Journal |
| issn | 1932-6203 |
| language | English |
| last_indexed | 2024-12-17T10:17:51Z |
| publishDate | 2015-01-01 |
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| series | PLoS ONE |
| spelling | doaj.art-0613a31afa9442a194968c113499dce72022-12-21T21:52:52ZengPublic Library of Science (PLoS)PLoS ONE1932-62032015-01-01105e012584410.1371/journal.pone.0125844Microbial community in high arsenic shallow groundwater aquifers in Hetao Basin of Inner Mongolia, China.Ping LiYanhong WangXinyue DaiRui ZhangZhou JiangDawei JiangShang WangHongchen JiangYanxin WangHailiang DongA survey was carried out on the microbial community of 20 groundwater samples (4 low and 16 high arsenic groundwater) and 19 sediments from three boreholes (two high arsenic and one low arsenic boreholes) in a high arsenic groundwater system located in Hetao Basin, Inner Mongolia, using the 454 pyrosequencing approach. A total of 233,704 sequence reads were obtained and classified into 12-267 operational taxonomic units (OTUs). Groundwater and sediment samples were divided into low and high arsenic groups based on measured geochemical parameters and microbial communities, by hierarchical clustering and principal coordinates analysis. Richness and diversity of the microbial communities in high arsenic sediments are higher than those in high arsenic groundwater. Microbial community structure was significantly different either between low and high arsenic samples or between groundwater and sediments. Acinetobacter, Pseudomonas, Psychrobacter and Alishewanella were the top four genera in high arsenic groundwater, while Thiobacillus, Pseudomonas, Hydrogenophaga, Enterobacteriaceae, Sulfuricurvum and Arthrobacter dominated high arsenic sediments. Archaeal sequences in high arsenic groundwater were mostly related to methanogens. Biota-environment matching and co-inertia analyses showed that arsenic, total organic carbon, SO4(2-), SO4(2-)/total sulfur ratio, and Fe(2+) were important environmental factors shaping the observed microbial communities. The results of this study expand our current understanding of microbial ecology in high arsenic groundwater aquifers and emphasize the potential importance of microbes in arsenic transformation in the Hetao Basin, Inner Mongolia.https://doi.org/10.1371/journal.pone.0125844 |
| spellingShingle | Ping Li Yanhong Wang Xinyue Dai Rui Zhang Zhou Jiang Dawei Jiang Shang Wang Hongchen Jiang Yanxin Wang Hailiang Dong Microbial community in high arsenic shallow groundwater aquifers in Hetao Basin of Inner Mongolia, China. PLoS ONE |
| title | Microbial community in high arsenic shallow groundwater aquifers in Hetao Basin of Inner Mongolia, China. |
| title_full | Microbial community in high arsenic shallow groundwater aquifers in Hetao Basin of Inner Mongolia, China. |
| title_fullStr | Microbial community in high arsenic shallow groundwater aquifers in Hetao Basin of Inner Mongolia, China. |
| title_full_unstemmed | Microbial community in high arsenic shallow groundwater aquifers in Hetao Basin of Inner Mongolia, China. |
| title_short | Microbial community in high arsenic shallow groundwater aquifers in Hetao Basin of Inner Mongolia, China. |
| title_sort | microbial community in high arsenic shallow groundwater aquifers in hetao basin of inner mongolia china |
| url | https://doi.org/10.1371/journal.pone.0125844 |
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