Literature DB >> 34378947

High Arsenic Levels Increase Activity Rather than Diversity or Abundance of Arsenic Metabolism Genes in Paddy Soils.

Si-Yu Zhang1,2, Xiao Xiao3, Song-Can Chen4, Yong-Guan Zhu5,6, Guo-Xin Sun5, Konstantinos T Konstantinidis1,7.   

Abstract

Arsenic (As) metabolism genes are generally present in soils, but their diversity, relative abundance, and transcriptional activity in response to different As concentrations remain unclear, limiting our understanding of the microbial activities that control the fate of an important environmental pollutant. To address this issue, we applied metagenomics and metatranscriptomics to paddy soils showing a gradient of As concentrations to investigate As resistance genes (ars) including arsR, acr3, arsB, arsC, arsM, arsI, arsP, and arsH as well as energy-generating As respiratory oxidation (aioA) and reduction (arrA) genes. Somewhat unexpectedly, the relative DNA abundances and diversities of ars, aioA, and arrA genes were not significantly different between low and high (∼10 versus ∼100 mg kg-1) As soils. Compared to available metagenomes from other soils, geographic distance rather than As levels drove the different compositions of microbial communities. Arsenic significantly increased ars gene abundance only when its concentration was higher than 410 mg kg-1. In contrast, metatranscriptomics revealed that relative to low-As soils, high-As soils showed a significant increase in transcription of ars and aioA genes, which are induced by arsenite, the dominant As species in paddy soils, but not arrA genes, which are induced by arsenate. These patterns appeared to be community wide as opposed to taxon specific. Collectively, our findings advance understanding of how microbes respond to high As levels and the diversity of As metabolism genes in paddy soils and indicated that future studies of As metabolism in soil or other environments should include the function (transcriptome) level. IMPORTANCE Arsenic (As) is a toxic metalloid pervasively present in the environment. Microorganisms have evolved the capacity to metabolize As, and As metabolism genes are ubiquitously present in the environment even in the absence of high concentrations of As. However, these previous studies were carried out at the DNA level; thus, the activity of the As metabolism genes detected remains essentially speculative. Here, we show that the high As levels in paddy soils increased the transcriptional activity rather than the relative DNA abundance and diversity of As metabolism genes. These findings advance our understanding of how microbes respond to and cope with high As levels and have implications for better monitoring and managing an important toxic metalloid in agricultural soils and possibly other ecosystems.

Entities:  

Keywords:  arsenic contamination; arsenic metabolism genes; microbial abundance and diversity; paddy soil; transcriptional activity

Mesh:

Substances:

Year:  2021        PMID: 34378947      PMCID: PMC8478449          DOI: 10.1128/AEM.01383-21

Source DB:  PubMed          Journal:  Appl Environ Microbiol        ISSN: 0099-2240            Impact factor:   4.792


  59 in total

1.  Effect of phosphate on amorphous iron mineral generation and arsenic behavior in paddy soils.

Authors:  Yanping Ji; Weiqi Luo; Guining Lu; Cong Fan; Xueqin Tao; Han Ye; Yingying Xie; Zhenqing Shi; Xiaoyun Yi; Zhi Dang
Journal:  Sci Total Environ       Date:  2018-12-06       Impact factor: 7.963

2.  ArsH is an organoarsenical oxidase that confers resistance to trivalent forms of the herbicide monosodium methylarsenate and the poultry growth promoter roxarsone.

Authors:  Jian Chen; Hiranmoy Bhattacharjee; Barry P Rosen
Journal:  Mol Microbiol       Date:  2015-04-06       Impact factor: 3.501

3.  Convergent evolution of a new arsenic binding site in the ArsR/SmtB family of metalloregulators.

Authors:  Jie Qin; Hsueh-Liang Fu; Jun Ye; Krisztina Z Bencze; Timothy L Stemmler; Douglas E Rawlings; Barry P Rosen
Journal:  J Biol Chem       Date:  2007-09-26       Impact factor: 5.157

4.  Arsenic fractions and enzyme activities in arsenic-contaminated soils by groundwater irrigation in West Bengal.

Authors:  Pradip Bhattacharyya; Subhasish Tripathy; Kangjoo Kim; Seok-Hwi Kim
Journal:  Ecotoxicol Environ Saf       Date:  2007-10-04       Impact factor: 6.291

5.  Diversity and abundance of arsenic biotransformation genes in paddy soils from southern China.

Authors:  Si-Yu Zhang; Fang-Jie Zhao; Guo-Xin Sun; Jian-Qiang Su; Xiao-Ru Yang; Hu Li; Yong-Guan Zhu
Journal:  Environ Sci Technol       Date:  2015-03-16       Impact factor: 9.028

6.  Soil pH, total phosphorus, climate and distance are the major factors influencing microbial activity at a regional spatial scale.

Authors:  Haichuan Cao; Ruirui Chen; Libing Wang; Lanlan Jiang; Fen Yang; Shixue Zheng; Gejiao Wang; Xiangui Lin
Journal:  Sci Rep       Date:  2016-05-12       Impact factor: 4.379

7.  Nonpareil 3: Fast Estimation of Metagenomic Coverage and Sequence Diversity.

Authors:  Luis M Rodriguez-R; Santosh Gunturu; James M Tiedje; James R Cole; Konstantinos T Konstantinidis
Journal:  mSystems       Date:  2018-04-10       Impact factor: 6.496

8.  SILVA: a comprehensive online resource for quality checked and aligned ribosomal RNA sequence data compatible with ARB.

Authors:  Elmar Pruesse; Christian Quast; Katrin Knittel; Bernhard M Fuchs; Wolfgang Ludwig; Jörg Peplies; Frank Oliver Glöckner
Journal:  Nucleic Acids Res       Date:  2007-10-18       Impact factor: 16.971

9.  The SEED and the Rapid Annotation of microbial genomes using Subsystems Technology (RAST).

Authors:  Ross Overbeek; Robert Olson; Gordon D Pusch; Gary J Olsen; James J Davis; Terry Disz; Robert A Edwards; Svetlana Gerdes; Bruce Parrello; Maulik Shukla; Veronika Vonstein; Alice R Wattam; Fangfang Xia; Rick Stevens
Journal:  Nucleic Acids Res       Date:  2013-11-29       Impact factor: 16.971

10.  MetaBAT 2: an adaptive binning algorithm for robust and efficient genome reconstruction from metagenome assemblies.

Authors:  Dongwan D Kang; Feng Li; Edward Kirton; Ashleigh Thomas; Rob Egan; Hong An; Zhong Wang
Journal:  PeerJ       Date:  2019-07-26       Impact factor: 2.984

View more
  1 in total

Review 1.  Recent trends in nitrogen cycle and eco-efficient nitrogen management strategies in aerobic rice system.

Authors:  Muhammad Shahbaz Farooq; Xiukang Wang; Muhammad Uzair; Hira Fatima; Sajid Fiaz; Zubaira Maqbool; Obaid Ur Rehman; Muhammad Yousuf; Muhammad Ramzan Khan
Journal:  Front Plant Sci       Date:  2022-08-25       Impact factor: 6.627

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.