Literature DB >> 24687747

The impacts of different long-term fertilization regimes on the bioavailability of arsenic in soil: integrating chemical approach with Escherichia coli arsRp::luc-based biosensor.

Qi-Hui Hou1, An-Zhou Ma, Di Lv, Zhi-Hui Bai, Xu-Liang Zhuang, Guo-Qiang Zhuang.   

Abstract

An Escherichia coli arsRp::luc-based biosensor was constructed to measure the bioavailability of arsenic (As) in soil. In previous induction experiments, it produced a linear response (R (2) = 0.96, P < 0.01) to As from 0.05 to 5 μmol/L after a 2-h incubation. Then, both chemical sequential extraction, Community Bureau of Reference recommended sequential extraction procedures (BCR-SEPs) and E. coli biosensor, were employed to assess the impact of different long-term fertilization regimes containing N, NP, NPK, M (manure), and NPK + M treatments on the bioavailability of arsenic (As) in soil. Per the BCR-SEPs analysis, the application of M and M + NPK led to a significant (P < 0.01) increase of exchangeable As (2-7 times and 2-5 times, respectively) and reducible As (1.5-2.5 times and 1.5-2.3 times, respectively) compared with the no fertilization treated soil (CK). In addition, direct contact assay of E. coli biosensor with soil particles also supported that bioavailable As in manure-fertilized (M and M + NPK) soil was significantly higher (P < 0.01) than that in CK soil (7 and 9 times, respectively). Organic carbon may be the major factor governing the increase of bioavailable As. More significantly, E. coli biosensor-determined As was only 18.46-85.17 % of exchangeable As and 20.68-90.1 % of reducible As based on BCR-SEPs. In conclusion, NKP fertilization was recommended as a more suitable regime in As-polluted soil especially with high As concentration, and this E. coli arsRp::luc-based biosensor was a more realistic approach in assessing the bioavailability of As in soil since it would not overrate the risk of As to the environment.

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Year:  2014        PMID: 24687747     DOI: 10.1007/s00253-014-5656-0

Source DB:  PubMed          Journal:  Appl Microbiol Biotechnol        ISSN: 0175-7598            Impact factor:   4.813


  3 in total

1.  The behavior of antibiotic resistance genes and arsenic influenced by biochar during different manure composting.

Authors:  Erping Cui; Ying Wu; Yanan Jiao; Yiru Zuo; Christopher Rensing; Hong Chen
Journal:  Environ Sci Pollut Res Int       Date:  2017-04-25       Impact factor: 4.223

2.  Sensitive and Specific Whole-Cell Biosensor for Arsenic Detection.

Authors:  Xiaoqiang Jia; Rongrong Bu; Tingting Zhao; Kang Wu
Journal:  Appl Environ Microbiol       Date:  2019-05-16       Impact factor: 4.792

3.  Development of a whole-cell biosensor based on an ArsR-P ars regulatory circuit from Geobacter sulfurreducens.

Authors:  Pengsong Li; Yumingzi Wang; Xin Yuan; Xinying Liu; Chunmao Liu; Xiaofen Fu; Dezhi Sun; Yan Dang; Dawn E Holmes
Journal:  Environ Sci Ecotechnol       Date:  2021-04-07
  3 in total

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