Literature DB >> 32964256

Microbiomes in agricultural and mining soils contaminated with arsenic in Guanajuato, Mexico.

María Elena López-Pérez1, Adriana Saldaña-Robles1,2, Gabriela Ana Zanor1,3, Jorge E Ibarra4, María Cristina Del Rincón-Castro5,6.   

Abstract

In this report, physical and chemical properties, and total arsenic (As) concentrations were analyzed in agricultural (MASE) and mining soils (SMI) in the State of Guanajuato, México. Additionally, a metagenomic analysis of both types of soils was the bases for the identification and selection of bacteria and fungi resistant to As. The SMI soil showed higher concentration of As (39 mg kg-1) as compared to MASE soil (15 mg kg-1). The metagenome showed a total of 175,240 reads from both soils. MASE soil showed higher diversity of bacteria, while the SMI soil showed higher diversity of fungi. 16S rRNA analysis showed that the phylum Proteobacteria showed the highest proportion (39.6% in MASE and 36.4% in SMI) and Acidobacteria was the second most representative (24.2% in SMI and 11.6% in MASE). 18S rRNA analysis, showed that the phylum Glomeromycota was found only in the SMI soils (11.6%), while Ascomycota was the most abundant, followed by Basidiomycota, and Zygomycota, in both soils. Genera Bacillus and Penicillium were able to grow in As concentrations as high as 5 and 10 mM, reduced As (V) to As (III), and removed As at 9.8% and 12.1% rates, respectively. When aoxB, arsB, ACR3(1), ACR3(2,) and arrA genes were explored, only the arsB gene was identified in Bacillus sp., B. simplex, and B. megaterium. In general, SMI soils showed more microorganisms resistant to As than MASE soils. Bacteria and fungi selected in this work may show potential to be used as bioremediation agents in As contaminated soils.

Entities:  

Keywords:  Agricultural soil; Arsenic; Bacteria; Biodiversity; Fungi; Mining soil

Mesh:

Substances:

Year:  2020        PMID: 32964256     DOI: 10.1007/s00203-020-01973-1

Source DB:  PubMed          Journal:  Arch Microbiol        ISSN: 0302-8933            Impact factor:   2.552


  28 in total

1.  Diversity of arsenite transporter genes from arsenic-resistant soil bacteria.

Authors:  Asma Rokbani Achour; Pascale Bauda; Patrick Billard
Journal:  Res Microbiol       Date:  2006-12-22       Impact factor: 3.992

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Authors:  Susan M Barns; Elizabeth C Cain; Leslie Sommerville; Cheryl R Kuske
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3.  A major clade of prokaryotes with ancient adaptations to life on land.

Authors:  Fabia U Battistuzzi; S Blair Hedges
Journal:  Mol Biol Evol       Date:  2008-11-06       Impact factor: 16.240

4.  ITS primers with enhanced specificity for basidiomycetes--application to the identification of mycorrhizae and rusts.

Authors:  M Gardes; T D Bruns
Journal:  Mol Ecol       Date:  1993-04       Impact factor: 6.185

5.  The role of arsenic resistant Bacillus aryabhattai MCC3374 in promotion of rice seedlings growth and alleviation of arsenic phytotoxicity.

Authors:  Pallab Kumar Ghosh; Tushar Kanti Maiti; Krishnendu Pramanik; Sudip Kumar Ghosh; Soumik Mitra; Tarun Kumar De
Journal:  Chemosphere       Date:  2018-07-26       Impact factor: 7.086

6.  High Virulence of Mexican Entomopathogenic Fungi Against Fall Armyworm, (Lepidoptera: Noctuidae).

Authors:  Ana Martha Cruz-Avalos; María de Los Ángeles Bivián-Hernández; Jorge E Ibarra; Ma Cristina Del Rincón-Castro
Journal:  J Econ Entomol       Date:  2019-02-12       Impact factor: 2.381

7.  Identification of an aox system that requires cytochrome c in the highly arsenic-resistant bacterium Ochrobactrum tritici SCII24.

Authors:  Rita Branco; Romeu Francisco; Ana Paula Chung; Paula Vasconcelos Morais
Journal:  Appl Environ Microbiol       Date:  2009-06-12       Impact factor: 4.792

8.  GenBank.

Authors:  Dennis A Benson; Ilene Karsch-Mizrachi; David J Lipman; James Ostell; David L Wheeler
Journal:  Nucleic Acids Res       Date:  2007-01       Impact factor: 16.971

9.  Metagenomic analysis of microbial community and function involved in cd-contaminated soil.

Authors:  Gang Feng; Tian Xie; Xin Wang; Jiuyuan Bai; Lin Tang; Hai Zhao; Wei Wei; Maolin Wang; Yun Zhao
Journal:  BMC Microbiol       Date:  2018-02-13       Impact factor: 3.605

10.  A metagenomic approach to decipher the indigenous microbial communities of arsenic contaminated groundwater of Assam.

Authors:  Saurav Das; Sudipta Sankar Bora; R N S Yadav; Madhumita Barooah
Journal:  Genom Data       Date:  2017-03-30
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