Literature DB >> 35059862

DNA Metabarcoding from Microbial Communities Recovered from Stream and Its Potential for Bioremediation Processes.

Júlia Ronzella Ottoni1, Rosane Dos Santos Grignet1, Maria Gabriela Azevedo Barros1, Suzan Prado Fernandes Bernal1, Andressa Alves Silva Panatta1, Gileno Vieira Lacerda-Júnior2, Victor Borin Centurion3, Tiago Palladino Delforno4, Caroline da Costa Silva Goncalves1, Michel Rodrigo Zambrano Passarini5.   

Abstract

Urban waste (UW) has caused a series of problems regarding its management. UW comprises domestic, hospital and industrial residues, which makes the destination of this waste a matter of concern, as it may contain a variety of highly toxic environmental polluters. Deactivated dumps can represent sources of contamination of the environment that surround these deposits, harming rivers and inhabiting organisms. Knowledge of the microbial profile of water bodies that can be affected by these toxic residues is essential for the development of alternatives and improvements in treatments applied in rivers and streams. In this sense, this work aimed to analyze the microbial community present in sediments of the Arroio Dourado stream in the municipality of Foz do Iguaçu, a stream located near a deactivated open-air dump. 16S rDNA metabarcoding suggested the dominance of acidogenic bacteria belonging to Acidobacteriota phylum, followed by less abundant phyla Actinobacteriota, Myxococcota, Chloroflexi and a small community of sulfate reducers (Desulfobacteriota). However, more than 50% of amplicon sequence variants (ASVs) were not taxonomically classified. In addition, an expressive abundance was attributed to the genus Anaeromyxobacter, a metabolically versatile group, which can thrive in the presence of polluting compounds present in the deactivated landfill. Thus, a possible stream treatment process can be developed. In addition, culture media can be developed for the recovery of taxonomic groups identified involved in the biodegradation of organic compounds. The results presented expand the knowledge of bacterial diversity in sediment samples recovered from the Arroio Dourado stream.
© 2022. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

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Year:  2022        PMID: 35059862     DOI: 10.1007/s00284-021-02752-x

Source DB:  PubMed          Journal:  Curr Microbiol        ISSN: 0343-8651            Impact factor:   2.188


  29 in total

1.  Impact of pollution on the microbial diversity of a tropical river in an urbanized region of northeastern Brazil.

Authors:  Thorsten Köchling; José Luis Sanz; Luiz Galdino; Lourdinha Florencio; Mario T Kato
Journal:  Int Microbiol       Date:  2017-03       Impact factor: 2.479

2.  Comparison of the levels of bacterial diversity in freshwater, intertidal wetland, and marine sediments by using millions of illumina tags.

Authors:  Yu Wang; Hua-Fang Sheng; Yan He; Jin-Ya Wu; Yun-Xia Jiang; Nora Fung-Yee Tam; Hong-Wei Zhou
Journal:  Appl Environ Microbiol       Date:  2012-09-21       Impact factor: 4.792

3.  Characterization of urban waste management practices in developing Asian countries: A new analytical framework based on waste characteristics and urban dimension.

Authors:  João Aleluia; Paulo Ferrão
Journal:  Waste Manag       Date:  2016-05-21       Impact factor: 7.145

4.  DNA metabarcoding of the leachate microbiota from sanitary landfill: potential for bioremediation process.

Authors:  Michel Rodrigo Zambrano Passarini; João Victor Fonseca Moreira; Jose Alejandro Morales Gomez; Rafaella Costa Bonugli-Santos
Journal:  Arch Microbiol       Date:  2021-07-06       Impact factor: 2.552

5.  River bacterial community structure and co-occurrence patterns under the influence of different domestic sewage types.

Authors:  Lei Zhang; Mengmeng Zhong; Xingchen Li; Wenxuan Lu; Jing Li
Journal:  J Environ Manage       Date:  2020-04-16       Impact factor: 6.789

6.  DADA2: High-resolution sample inference from Illumina amplicon data.

Authors:  Benjamin J Callahan; Paul J McMurdie; Michael J Rosen; Andrew W Han; Amy Jo A Johnson; Susan P Holmes
Journal:  Nat Methods       Date:  2016-05-23       Impact factor: 28.547

7.  QIIME allows analysis of high-throughput community sequencing data.

Authors:  J Gregory Caporaso; Justin Kuczynski; Jesse Stombaugh; Kyle Bittinger; Frederic D Bushman; Elizabeth K Costello; Noah Fierer; Antonio Gonzalez Peña; Julia K Goodrich; Jeffrey I Gordon; Gavin A Huttley; Scott T Kelley; Dan Knights; Jeremy E Koenig; Ruth E Ley; Catherine A Lozupone; Daniel McDonald; Brian D Muegge; Meg Pirrung; Jens Reeder; Joel R Sevinsky; Peter J Turnbaugh; William A Walters; Jeremy Widmann; Tanya Yatsunenko; Jesse Zaneveld; Rob Knight
Journal:  Nat Methods       Date:  2010-04-11       Impact factor: 28.547

8.  The SILVA ribosomal RNA gene database project: improved data processing and web-based tools.

Authors:  Christian Quast; Elmar Pruesse; Pelin Yilmaz; Jan Gerken; Timmy Schweer; Pablo Yarza; Jörg Peplies; Frank Oliver Glöckner
Journal:  Nucleic Acids Res       Date:  2012-11-28       Impact factor: 16.971

9.  phyloseq: an R package for reproducible interactive analysis and graphics of microbiome census data.

Authors:  Paul J McMurdie; Susan Holmes
Journal:  PLoS One       Date:  2013-04-22       Impact factor: 3.240

10.  Comparative metagenome of a stream impacted by the urbanization phenomenon.

Authors:  Julliane Dutra Medeiros; Maurício Egídio Cantão; Dionéia Evangelista Cesar; Marisa Fabiana Nicolás; Cláudio Galuppo Diniz; Vânia Lúcia Silva; Ana Tereza Ribeiro de Vasconcelos; Cíntia Marques Coelho
Journal:  Braz J Microbiol       Date:  2016-07-04       Impact factor: 2.476

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