Literature DB >> 35412096

Fungal community diversity of heavy metal contaminated soils revealed by metagenomics.

Michel Rodrigo Zambrano Passarini1, Júlia Ronzella Ottoni2, Paulo Emílio Dos Santos Costa3, Denise Cavalvante Hissa4, Raul Maia Falcão5, Vânia Maria Maciel Melo4, Valdir Queiroz Balbino5, Luiz Alberto Ribeiro Mendonça6, Maria Gorethe de Sousa Lima6, Henrique Douglas Melo Coutinho3, Leandro Costa Lima Verde3.   

Abstract

The inappropriate disposal of toxic compounds generated by industrial activity has been impacting the environment considerably. Microbial communities inhabiting contaminated sites may represent interesting ecological alternatives for the decontamination of environments. The present work aimed to investigate the fungal diversity and its functionality contained in stream sediments with industrial waste contaminated with heavy metals by using metagenomic approach. A total of 12 fungal orders were retrieved from datasets and, at phylum level, Ascomycota was the most abundant, followed by Basidiomycota, Chytridiomycota and Blastocladiomycota. Higher abundance of sequences was encountered within the less contaminated site, while the lower abundance was found in the sample with the higher contamination with lead. Gene sequences related to DNA repair and heavy metals biosorption processes were found in the four samples analyzed. The genera Aspergillus and Chaetomium, and Saccharomycetales order were highly present within all samples, showing their potential to be used for bioremediation studies. The present work demonstrated the importance of using the metagenomic approach to understand the dynamics and the possible metabolic pathways associated with fungal communities related to environmental samples containing heavy metals, as well as evidenced the importance of improving culturomics techniques for isolating strains with potential application in bioremediation processes of environments contaminated with heavy metals.
© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

Entities:  

Keywords:  Bioremediation; Hazardous wastes; Heavy metal metabolism; Heavy metal tolerance; Omics technique; Uncultured fungal

Mesh:

Substances:

Year:  2022        PMID: 35412096     DOI: 10.1007/s00203-022-02860-7

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


  12 in total

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Authors:  Mark Dopson; Craig Baker-Austin; P Ram Koppineedi; Philip L Bond
Journal:  Microbiology       Date:  2003-08       Impact factor: 2.777

2.  Metagenomic insights into evolution of a heavy metal-contaminated groundwater microbial community.

Authors:  Christopher L Hemme; Ye Deng; Terry J Gentry; Matthew W Fields; Liyou Wu; Soumitra Barua; Kerrie Barry; Susannah G Tringe; David B Watson; Zhili He; Terry C Hazen; James M Tiedje; Edward M Rubin; Jizhong Zhou
Journal:  ISME J       Date:  2010-02-25       Impact factor: 10.302

Review 3.  Fungal biosorption--an alternative to meet the challenges of heavy metal pollution in aqueous solutions.

Authors:  Rajesh Dhankhar; Anju Hooda
Journal:  Environ Technol       Date:  2011-04       Impact factor: 3.247

Review 4.  Arsenic metabolism by microbes in nature and the impact on arsenic remediation.

Authors:  Shen-Long Tsai; Shailendra Singh; Wilfred Chen
Journal:  Curr Opin Biotechnol       Date:  2009-10-31       Impact factor: 9.740

5.  Transcriptome analysis in response to heat shock and cadmium in the aquatic fungus Blastocladiella emersonii.

Authors:  Raphaela C Georg; Suely L Gomes
Journal:  Eukaryot Cell       Date:  2007-04-20

6.  metaSPAdes: a new versatile metagenomic assembler.

Authors:  Sergey Nurk; Dmitry Meleshko; Anton Korobeynikov; Pavel A Pevzner
Journal:  Genome Res       Date:  2017-03-15       Impact factor: 9.043

7.  Robust high-throughput prokaryote de novo assembly and improvement pipeline for Illumina data.

Authors:  Andrew J Page; Nishadi De Silva; Martin Hunt; Michael A Quail; Julian Parkhill; Simon R Harris; Thomas D Otto; Jacqueline A Keane
Journal:  Microb Genom       Date:  2016-08-25

8.  Trimmomatic: a flexible trimmer for Illumina sequence data.

Authors:  Anthony M Bolger; Marc Lohse; Bjoern Usadel
Journal:  Bioinformatics       Date:  2014-04-01       Impact factor: 6.937

9.  Redundans: an assembly pipeline for highly heterozygous genomes.

Authors:  Leszek P Pryszcz; Toni Gabaldón
Journal:  Nucleic Acids Res       Date:  2016-04-29       Impact factor: 16.971

Review 10.  Metagenomics and Bioinformatics in Microbial Ecology: Current Status and Beyond.

Authors:  Satoshi Hiraoka; Ching-Chia Yang; Wataru Iwasaki
Journal:  Microbes Environ       Date:  2016-07-05       Impact factor: 2.912

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