Literature DB >> 23340578

Metagenomic exploration reveals high levels of microbial arsenic metabolism genes in activated sludge and coastal sediments.

Lin Cai1, Ke Yu, Ying Yang, Bao-Wei Chen, Xiang-Dong Li, Tong Zhang.   

Abstract

Arsenic contamination in a water system is an urgent environmental problem that has caused severe endemic arsenicosis in south and southeast Asian countries. It is well known that microbially mediated arsenic metabolism can enhance arsenic mobility, bioavailability, and toxicity. Here, for the first time, we applied the Illumina high-throughput metagenomic and metatranscriptomic approaches to study the distribution, diversity, abundance, and expression of microbial arsenic metabolism genes in activated sludge and five coastal sediments. An average depth of ~2.6 Gb clean data for each sample was finally obtained for BLAST analysis after quality filtration and normalization. The results revealed that: (1) highly diverse arsenic metabolism-like genes were found and the overall abundance varied from 0.18 % to 0.26 % in the six metagenomic data sets; (2) arsenic metabolism-like genes were expressed with extremely low levels or no expression at all in activated sludge; and (3) the distribution, diversity, and abundance of aioA-like, arrA-like, arsB-like, ACR3-like, and arsM-like genes varied significantly in the six surveyed environments. This study provided a novel perspective on understanding the ecology of arsenic metabolism in different water environments using high-throughput sequencing technique.

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Year:  2013        PMID: 23340578     DOI: 10.1007/s00253-012-4678-8

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


  17 in total

1.  Technical challenges in metatranscriptomic studies applied to the bacterial communities of freshwater ecosystems.

Authors:  Noémie Pascault; Valentin Loux; Sandra Derozier; Véronique Martin; Didier Debroas; Selma Maloufi; Jean-François Humbert; Julie Leloup
Journal:  Genetica       Date:  2014-09-13       Impact factor: 1.082

2.  Linking Genes to Microbial Biogeochemical Cycling: Lessons from Arsenic.

Authors:  Yong-Guan Zhu; Xi-Mei Xue; Andreas Kappler; Barry P Rosen; Andrew A Meharg
Journal:  Environ Sci Technol       Date:  2017-06-23       Impact factor: 9.028

3.  Identification of Arsenic Resistance Genes from Marine Sediment Metagenome.

Authors:  Nar Singh Chauhan; Sonam Nain; Rakesh Sharma
Journal:  Indian J Microbiol       Date:  2017-07-05       Impact factor: 2.461

4.  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

5.  Co-occurrence of antibiotic and metal resistance genes revealed in complete genome collection.

Authors:  Li-Guan Li; Yu Xia; Tong Zhang
Journal:  ISME J       Date:  2016-12-13       Impact factor: 10.302

6.  Oxidation of organoarsenicals and antimonite by a novel flavin monooxygenase widely present in soil bacteria.

Authors:  Jun Zhang; Jian Chen; Yi-Fei Wu; Zi-Ping Wang; Ji-Guo Qiu; Xiao-Long Li; Feng Cai; Ke-Qing Xiao; Xiao-Xu Sun; Barry P Rosen; Fang-Jie Zhao
Journal:  Environ Microbiol       Date:  2021-04-06       Impact factor: 5.491

7.  Genomic evidence reveals the extreme diversity and wide distribution of the arsenic-related genes in Burkholderiales.

Authors:  Xiangyang Li; Linshuang Zhang; Gejiao Wang
Journal:  PLoS One       Date:  2014-03-14       Impact factor: 3.240

8.  Evaluation of a hybrid approach using UBLAST and BLASTX for metagenomic sequences annotation of specific functional genes.

Authors:  Ying Yang; Xiao-Tao Jiang; Tong Zhang
Journal:  PLoS One       Date:  2014-10-27       Impact factor: 3.240

9.  Meta-omics-aided isolation of an elusive anaerobic arsenic-methylating soil bacterium.

Authors:  Karen Viacava; Jiangtao Qiao; Andrew Janowczyk; Suresh Poudel; Nicolas Jacquemin; Karin Lederballe Meibom; Him K Shrestha; Matthew C Reid; Robert L Hettich; Rizlan Bernier-Latmani
Journal:  ISME J       Date:  2022-03-25       Impact factor: 11.217

10.  Exploring antibiotic resistance genes and metal resistance genes in plasmid metagenomes from wastewater treatment plants.

Authors:  An-Dong Li; Li-Guan Li; Tong Zhang
Journal:  Front Microbiol       Date:  2015-09-24       Impact factor: 5.640

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