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...
Autores principales: | , , , , , , , , , |
---|---|
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 |