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...

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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, María Teresa, Morelli, Irma Susana
Formato: Articulo
Lenguaje:Inglés
Publicado: 2021
Materias:
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/129999
Aporte de:
id I19-R120-10915-129999
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Biología
Monitored natural attenuation
Bioremediation
Fresh-water sediments
Hydrocarbons
Buenos Aires
Metabarcoding
Functional prediction
spellingShingle Biología
Monitored natural attenuation
Bioremediation
Fresh-water sediments
Hydrocarbons
Buenos Aires
Metabarcoding
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, María Teresa
Morelli, Irma Susana
Assessment of Biological Contribution to Natural Recovery of Anthropized Freshwater Sediments From Argentina: Autochthonous Microbiome Structure and Functional Prediction
topic_facet Biología
Monitored natural attenuation
Bioremediation
Fresh-water sediments
Hydrocarbons
Buenos Aires
Metabarcoding
Functional prediction
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 Articulo
Articulo
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, María 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, María Teresa
Morelli, Irma Susana
author_sort Madueño, Laura
title 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_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_sort assessment of biological contribution to natural recovery of anthropized freshwater sediments from argentina: autochthonous microbiome structure and functional prediction
publishDate 2021
url http://sedici.unlp.edu.ar/handle/10915/129999
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