Literature DB >> 27288673

Long-term performance of rapid oxidation of arsenite in simulated groundwater using a population of arsenite-oxidizing microorganisms in a bioreactor.

Hao Li1, Xian-Chun Zeng2, Zhong He1, Xiaoming Chen1, Guoji E1, Yiyang Han1, Yanxin Wang1.   

Abstract

A population of arsenite-oxidizing microorganisms enriched from the tailing of the Shimen realgar mine was used to generate biofilms on the surfaces of perlites. This bioreactor is able to completely oxidize 1100 μg/L As(III) dissolved in simulated groundwater into As(V) within 10 min; after 140 days of operation, approximately 20 min were required to completely oxidize the same concentration of As(III). Analysis for the 16S rRNA genes of the microbial community showed that Bacteroidetes and Proteobacteria are dominant in the reactor. Six different bacterial strains were randomly isolated from the reactor. Function and gene analysis indicated that all the isolates possess arsenite-oxidizing activity, and five of them are chemoautotrophic. Further analysis showed that a large diversity of AioAs and two types of RuBisCOs are present in the microbial community. This suggests that many chemoautotrophic arsenite-oxidizing microorganisms were responsible for quick oxidation of arsenite in the reactor. We also found that the reactor is easily regenerated and its number is readily expanded. To the best of our knowledge, the arsenite-oxidizing efficiency, which was expressed as the minimum time for complete oxidization of a certain concentration of As(III) under a single operation, of this bioreactor is the highest among the described bioreactors; it is also the most stable, economic and environment-friendly.
Copyright © 2016 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Arsenic-resistant bacteria; Arsenite oxidation; Biofilm reactor; Bioremediation; High-arsenic groundwater; Realgar mine

Mesh:

Substances:

Year:  2016        PMID: 27288673     DOI: 10.1016/j.watres.2016.05.058

Source DB:  PubMed          Journal:  Water Res        ISSN: 0043-1354            Impact factor:   11.236


  11 in total

1.  Functional genes and thermophilic microorganisms responsible for arsenite oxidation from the shallow sediment of an untraversed hot spring outlet.

Authors:  Ye Yang; Yao Mu; Xian-Chun Zeng; Weiwei Wu; Jie Yuan; Yichen Liu; E Guoji; Feng Luo; Xiaoming Chen; Hao Li; Jianing Wang
Journal:  Ecotoxicology       Date:  2017-03-01       Impact factor: 2.823

2.  Dissimilatory arsenate-respiring prokaryotes catalyze the dissolution, reduction and release of arsenic from paddy soils into groundwater: implication for the effect of sulfate.

Authors:  Wanxia Shi; Weiwei Wu; Xian-Chun Zeng; Xiaoming Chen; Xianbin Zhu; Shenggao Cheng
Journal:  Ecotoxicology       Date:  2018-08-11       Impact factor: 2.823

3.  Diversity and Metabolic Potentials of As(III)-Oxidizing Bacteria in Activated Sludge.

Authors:  Rui Xu; Duanyi Huang; Xiaoxu Sun; Miaomiao Zhang; Dongbo Wang; Zhaohui Yang; Feng Jiang; Pin Gao; Baoqin Li; Weimin Sun
Journal:  Appl Environ Microbiol       Date:  2021-09-22       Impact factor: 4.792

4.  Functions and Unique Diversity of Genes and Microorganisms Involved in Arsenite Oxidation from the Tailings of a Realgar Mine.

Authors:  Xian-Chun Zeng; Guoji E; Jianing Wang; Nian Wang; Xiaoming Chen; Yao Mu; Hao Li; Ye Yang; Yichen Liu; Yanxin Wang
Journal:  Appl Environ Microbiol       Date:  2016-11-21       Impact factor: 4.792

5.  Unique diversity and functions of the arsenic-methylating microorganisms from the tailings of Shimen Realgar Mine.

Authors:  Janet Victoria Ngegla; Xing Zhou; Xiaoming Chen; Xianbin Zhu; Ziwei Liu; Jilong Feng; Xian-Chun Zeng
Journal:  Ecotoxicology       Date:  2019-12-12       Impact factor: 2.823

6.  Draft genome sequence of Arthrobacter sp. strain B6 isolated from the high-arsenic sediments in Datong Basin, China.

Authors:  Linghua Xu; Wanxia Shi; Xian-Chun Zeng; Ye Yang; Lingli Zhou; Yao Mu; Yichen Liu
Journal:  Stand Genomic Sci       Date:  2017-01-23

7.  Microbial community structure in aquifers associated with arsenic: analysis of 16S rRNA and arsenite oxidase genes.

Authors:  Prinpida Sonthiphand; Pasunun Rattanaroongrot; Kasarnchon Mek-Yong; Kanthida Kusonmano; Chalida Rangsiwutisak; Pichahpuk Uthaipaisanwong; Srilert Chotpantarat; Teerasit Termsaithong
Journal:  PeerJ       Date:  2021-01-08       Impact factor: 2.984

8.  Assessing the Diversity and Metabolic Potential of Psychrotolerant Arsenic-Metabolizing Microorganisms From a Subarctic Peatland Used for Treatment of Mining-Affected Waters by Culture-Dependent and -Independent Techniques.

Authors:  Aileen Ziegelhöfer; Katharina Kujala
Journal:  Front Microbiol       Date:  2021-07-06       Impact factor: 5.640

Review 9.  A Genomic Outlook on Bioremediation: The Case of Arsenic Removal.

Authors:  Frédéric Plewniak; Simona Crognale; Simona Rossetti; Philippe N Bertin
Journal:  Front Microbiol       Date:  2018-04-26       Impact factor: 5.640

10.  Microbially Mediated Methylation of Arsenic in the Arsenic-Rich Soils and Sediments of Jianghan Plain.

Authors:  Xian-Chun Zeng; Ye Yang; Wanxia Shi; Zhaofeng Peng; Xiaoming Chen; Xianbin Zhu; Yanxin Wang
Journal:  Front Microbiol       Date:  2018-07-06       Impact factor: 5.640

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