Cargando…

Assessment of Biological Contribution to Natural Recovery of Anthropized Freshwater Sediments From Argentina: Autochthonous Microbiome Structure and Functional Prediction

Monitored natural recovery (MNR) is an in situ technique of conventional remediation for the treatment of contaminated sediments that relies on natural processes to reduce the bioavailability or toxicity of contaminants. Metabarcoding and bioinformatics approaches to infer functional prediction were...

Descripción completa

Detalles Bibliográficos
Autores principales: Madueño, Laura, Starevich, Viviana Ayelen, Agnello, Ana Carolina, Coppotelli, Bibiana Marina, Laprida, Cecilia, Vidal, Nuria Carolina, Di Marco, Pablo, Oneto, Maria Elena, Del Panno, Maria Teresa, Morelli, Irma Susana
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8059475/
https://www.ncbi.nlm.nih.gov/pubmed/33897628
http://dx.doi.org/10.3389/fmicb.2021.601705
_version_ 1783681197415596032
author Madueño, Laura
Starevich, Viviana Ayelen
Agnello, Ana Carolina
Coppotelli, Bibiana Marina
Laprida, Cecilia
Vidal, Nuria Carolina
Di Marco, Pablo
Oneto, Maria Elena
Del Panno, Maria Teresa
Morelli, Irma Susana
author_facet Madueño, Laura
Starevich, Viviana Ayelen
Agnello, Ana Carolina
Coppotelli, Bibiana Marina
Laprida, Cecilia
Vidal, Nuria Carolina
Di Marco, Pablo
Oneto, Maria Elena
Del Panno, Maria Teresa
Morelli, Irma Susana
author_sort Madueño, Laura
collection PubMed
description Monitored natural recovery (MNR) is an in situ technique of conventional remediation for the treatment of contaminated sediments that relies on natural processes to reduce the bioavailability or toxicity of contaminants. Metabarcoding and bioinformatics approaches to infer functional prediction were applied in bottom sediments of a tributary drainage channel of Río de La Plata estuary, in order to assess the biological contribution to MNR. Hydrocarbon concentration in water samples and surface sediments was below the detection limit. Surface sediments were represented with high available phosphorous, alkaline pH, and the bacterial classes Anaerolineae, Planctomycetia, and Deltaproteobacteria. The functional prediction in surface sediments showed an increase of metabolic activity, carbon fixation, methanogenesis, and synergistic relationships between Archaeas, Syntrophobacterales, and Desulfobacterales. The prediction in non-surface sediments suggested the capacity to respond to different kinds of environmental stresses (oxidative, osmotic, heat, acid pH, and heavy metals), predicted mostly in Lactobacillales order, and the capacity of Alphaproteobacteria, Betaproteobacteria, Gammaproteobacteria, and Actinomyces classes to degrade xenobiotic compounds. Canonical correspondence analysis (CCA) suggests that depth, phosphate content, redox potential, and pH were the variables that structured the bacterial community and not the hydrocarbons. The characterization of sediments by metabarcoding and functional prediction approaches, allowed to assess how the microbial activity would contribute to the recovery of the site.
format Online
Article
Text
id pubmed-8059475
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-80594752021-04-22 Assessment of Biological Contribution to Natural Recovery of Anthropized Freshwater Sediments From Argentina: Autochthonous Microbiome Structure and Functional Prediction Madueño, Laura Starevich, Viviana Ayelen Agnello, Ana Carolina Coppotelli, Bibiana Marina Laprida, Cecilia Vidal, Nuria Carolina Di Marco, Pablo Oneto, Maria Elena Del Panno, Maria Teresa Morelli, Irma Susana Front Microbiol Microbiology Monitored natural recovery (MNR) is an in situ technique of conventional remediation for the treatment of contaminated sediments that relies on natural processes to reduce the bioavailability or toxicity of contaminants. Metabarcoding and bioinformatics approaches to infer functional prediction were applied in bottom sediments of a tributary drainage channel of Río de La Plata estuary, in order to assess the biological contribution to MNR. Hydrocarbon concentration in water samples and surface sediments was below the detection limit. Surface sediments were represented with high available phosphorous, alkaline pH, and the bacterial classes Anaerolineae, Planctomycetia, and Deltaproteobacteria. The functional prediction in surface sediments showed an increase of metabolic activity, carbon fixation, methanogenesis, and synergistic relationships between Archaeas, Syntrophobacterales, and Desulfobacterales. The prediction in non-surface sediments suggested the capacity to respond to different kinds of environmental stresses (oxidative, osmotic, heat, acid pH, and heavy metals), predicted mostly in Lactobacillales order, and the capacity of Alphaproteobacteria, Betaproteobacteria, Gammaproteobacteria, and Actinomyces classes to degrade xenobiotic compounds. Canonical correspondence analysis (CCA) suggests that depth, phosphate content, redox potential, and pH were the variables that structured the bacterial community and not the hydrocarbons. The characterization of sediments by metabarcoding and functional prediction approaches, allowed to assess how the microbial activity would contribute to the recovery of the site. Frontiers Media S.A. 2021-03-05 /pmc/articles/PMC8059475/ /pubmed/33897628 http://dx.doi.org/10.3389/fmicb.2021.601705 Text en Copyright © 2021 Madueño, Starevich, Agnello, Coppotelli, Laprida, Vidal, Di Marco, Oneto, Del Panno and Morelli. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Microbiology
Madueño, Laura
Starevich, Viviana Ayelen
Agnello, Ana Carolina
Coppotelli, Bibiana Marina
Laprida, Cecilia
Vidal, Nuria Carolina
Di Marco, Pablo
Oneto, Maria Elena
Del Panno, Maria Teresa
Morelli, Irma Susana
Assessment of Biological Contribution to Natural Recovery of Anthropized Freshwater Sediments From Argentina: Autochthonous Microbiome Structure and Functional Prediction
title Assessment of Biological Contribution to Natural Recovery of Anthropized Freshwater Sediments From Argentina: Autochthonous Microbiome Structure and Functional Prediction
title_full Assessment of Biological Contribution to Natural Recovery of Anthropized Freshwater Sediments From Argentina: Autochthonous Microbiome Structure and Functional Prediction
title_fullStr Assessment of Biological Contribution to Natural Recovery of Anthropized Freshwater Sediments From Argentina: Autochthonous Microbiome Structure and Functional Prediction
title_full_unstemmed Assessment of Biological Contribution to Natural Recovery of Anthropized Freshwater Sediments From Argentina: Autochthonous Microbiome Structure and Functional Prediction
title_short Assessment of Biological Contribution to Natural Recovery of Anthropized Freshwater Sediments From Argentina: Autochthonous Microbiome Structure and Functional Prediction
title_sort assessment of biological contribution to natural recovery of anthropized freshwater sediments from argentina: autochthonous microbiome structure and functional prediction
topic Microbiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8059475/
https://www.ncbi.nlm.nih.gov/pubmed/33897628
http://dx.doi.org/10.3389/fmicb.2021.601705
work_keys_str_mv AT maduenolaura assessmentofbiologicalcontributiontonaturalrecoveryofanthropizedfreshwatersedimentsfromargentinaautochthonousmicrobiomestructureandfunctionalprediction
AT starevichvivianaayelen assessmentofbiologicalcontributiontonaturalrecoveryofanthropizedfreshwatersedimentsfromargentinaautochthonousmicrobiomestructureandfunctionalprediction
AT agnelloanacarolina assessmentofbiologicalcontributiontonaturalrecoveryofanthropizedfreshwatersedimentsfromargentinaautochthonousmicrobiomestructureandfunctionalprediction
AT coppotellibibianamarina assessmentofbiologicalcontributiontonaturalrecoveryofanthropizedfreshwatersedimentsfromargentinaautochthonousmicrobiomestructureandfunctionalprediction
AT lapridacecilia assessmentofbiologicalcontributiontonaturalrecoveryofanthropizedfreshwatersedimentsfromargentinaautochthonousmicrobiomestructureandfunctionalprediction
AT vidalnuriacarolina assessmentofbiologicalcontributiontonaturalrecoveryofanthropizedfreshwatersedimentsfromargentinaautochthonousmicrobiomestructureandfunctionalprediction
AT dimarcopablo assessmentofbiologicalcontributiontonaturalrecoveryofanthropizedfreshwatersedimentsfromargentinaautochthonousmicrobiomestructureandfunctionalprediction
AT onetomariaelena assessmentofbiologicalcontributiontonaturalrecoveryofanthropizedfreshwatersedimentsfromargentinaautochthonousmicrobiomestructureandfunctionalprediction
AT delpannomariateresa assessmentofbiologicalcontributiontonaturalrecoveryofanthropizedfreshwatersedimentsfromargentinaautochthonousmicrobiomestructureandfunctionalprediction
AT morelliirmasusana assessmentofbiologicalcontributiontonaturalrecoveryofanthropizedfreshwatersedimentsfromargentinaautochthonousmicrobiomestructureandfunctionalprediction