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  5. Bacterial community and arsenic functional genes diversity in arsenic contaminated soils from different geographic locations

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Article
English
2017

Bacterial community and arsenic functional genes diversity in arsenic contaminated soils from different geographic locations

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English
2017
PLoS ONE
Vol 12 (5)
DOI: 10.1371/journal.pone.0176696

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Fang-jie Zhao
Fang-jie Zhao

Nanjing Agricultural University

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Yunfu Gu
Joy D. Van Nostrand
Liyou Wu
+4 more

Abstract

To understand how soil microbial communities and arsenic (As) functional genes respond to soil arsenic (As) contamination, five soils contaminated with As at different levels were collected from diverse geographic locations, incubated for 54 days under flooded conditions, and examined by both MiSeq sequencing of 16S rRNA gene amplicons and functional gene microarray (GeoChip 4.0). The results showed that both bacterial community structure and As functional gene structure differed among geographical locations. The diversity of As functional genes correlated positively with the diversity of 16S rRNA genes (P< 0.05). Higher diversities of As functional genes and 16S rRNA genes were observed in the soils with higher available As. Soil pH, phosphate-extractable As, and amorphous Fe content were the most important factors in shaping the bacterial community structure and As transformation functional genes. Geographic location was also important in controlling both the bacterial community and As transformation functional potential. These findings provide insights into the variation of As transformation functional genes in soils contaminated with different levels of As at different geographic locations, and the impact of environmental As contamination on the soil bacterial community.

How to cite this publication

Yunfu Gu, Joy D. Van Nostrand, Liyou Wu, Zhili He, Yujia Qin, Fang-jie Zhao, Jizhong Zhou (2017). Bacterial community and arsenic functional genes diversity in arsenic contaminated soils from different geographic locations. PLoS ONE, 12(5), pp. e0176696-e0176696, DOI: 10.1371/journal.pone.0176696.

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Publication Details

Type

Article

Year

2017

Authors

7

Datasets

0

Total Files

0

Language

English

Journal

PLoS ONE

DOI

10.1371/journal.pone.0176696

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