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Abstract
Wastewater stabilization ponds are a natural form of wastewater treatment. Their low operation and maintenance costs have made them popular, especially in developing countries. In these systems, effluents are retained for long periods of time, allowing the microbial communities present in the ponds to degrade the organic matter present, using both aerobic and anaerobic processes. Even though these systems are widespread in low income countries, there are [ver mas...]
dc.contributor.authorIrazoqui, Jose Matias
dc.contributor.authorEberhardt, María Florencia
dc.contributor.authorAdjad, Maria Mercedes
dc.contributor.authorAmadio, Ariel
dc.date.accessioned2022-04-01T10:24:10Z
dc.date.available2022-04-01T10:24:10Z
dc.date.issued2022-03-14
dc.identifier.citationIrazoqui JM, Eberhardt MF, Adjad MM, Amadio AF. 2022. Identification of key microorganisms in facultative stabilization ponds from dairy industries, using metagenomics. PeerJ 10:e12772es_AR
dc.identifier.issn2167-8359
dc.identifier.otherhttps://doi.org/10.7717/peerj.12772
dc.identifier.urihttp://hdl.handle.net/20.500.12123/11530
dc.identifier.urihttps://peerj.com/articles/12772/
dc.description.abstractWastewater stabilization ponds are a natural form of wastewater treatment. Their low operation and maintenance costs have made them popular, especially in developing countries. In these systems, effluents are retained for long periods of time, allowing the microbial communities present in the ponds to degrade the organic matter present, using both aerobic and anaerobic processes. Even though these systems are widespread in low income countries, there are no studies about the microorganisms present in them and how they operate. In this study, we analised the microbial communities of two serial full-scale stabilization ponds systems using whole genome shotgun sequencing. First, a taxonomic profiling of the reads was performed, to estimate the microbial diversity. Then, the reads of each system were assembled and binned, allowing the reconstruction of 110 microbial genomes. A functional analysis of the genomes allowed us to find how the main metabolic pathways are carried out, and we propose several organisms that would be key to this kind of environment, since they play an important role in these metabolic pathways. This study represents the first genome-centred approach to understand the metabolic processes in facultative ponds. A better understanding of these microbial communities and how they stabilize the effluents of dairy industries is necessary to improve them and to minimize the environmental impact of dairy industries wastewater.eng
dc.formatapplication/pdfes_AR
dc.language.isoenges_AR
dc.publisherPeerJ Publishinges_AR
dc.relationinfo:eu-repograntAgreement/INTA/2019-PE-E6-I114-001/2019-PE-E6-I114-001/AR./Caracterización de la diversidad genética de plantas, animales y microorganismos mediante herramientas de genómica aplicada.es_AR
dc.relationinfo:eu-repograntAgreement/INTA/2019-PD-E5-I106-001/2019-PD-E5-I106-001/AR./Estudios metagenómicos en animales y medio ambiente para modular la microbiota, desarrollar probióticos y mitigar el impacto ambiental de la producción pecuariaes_AR
dc.relationinfo:eu-repograntAgreement/INTA/PNBIO-1131043/AR./Bioinformática y Estadística Genómica.
dc.relationinfo:eu-repograntAgreement/INTA/PNAIyAV-1130034/AR./Desarrollo de procesos para la transformación de biomasa en bioenergía.
dc.rightsinfo:eu-repo/semantics/openAccesses_AR
dc.sourcePeerJ 10 : e12772 (March 2022)es_AR
dc.subjectGenomases_AR
dc.subjectGenéticaes_AR
dc.subjectBioinformáticaes_AR
dc.subjectBioinformaticseng
dc.subjectBiología Moleculares_AR
dc.subjectMolecular Biologyeng
dc.subjectFreshwateres_AR
dc.subjectGenomeseng
dc.subjectGeneticseng
dc.subjectAgua Dulce
dc.subject.otherMetagenomicseng
dc.subject.otherMetagenómicaes_AR
dc.subject.otherMetabolic Pathwayseng
dc.subject.otherFreshwater Biologyeng
dc.titleIdentification of key microorganisms in facultative stabilization ponds from dairy industries, using metagenomicses_AR
dc.typeinfo:ar-repo/semantics/artículoes_AR
dc.typeinfo:eu-repo/semantics/articlees_AR
dc.typeinfo:eu-repo/semantics/publishedVersiones_AR
dc.description.origenEEA Rafaelaes_AR
dc.description.filFil: Irazoqui, Jose Matias. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Rafaela. Instituto de Investigación de la Cadena Láctea; Argentinaes_AR
dc.description.filFil: Eberhardt, Maria Florencia. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Rafaela. Instituto de Investigación de la Cadena Láctea; Argentinaes_AR
dc.description.filFil: Adjad, Maria Mercedes. Instituto Nacional de Tecnologia Agropecuaria (INTA). Estacion Experimental Agropecuaria Rafaela, Rafaela, Santa Fe, Argentinaes_AR
dc.description.filFil: Amadio, Ariel​. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Rafaela. Instituto de Investigación de la Cadena Láctea; Argentinaes_AR
dc.description.filFil: Irazoqui, Jose Matias. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigación de la Cadena Láctea (IDICAL); Argentina
dc.description.filFil: Eberhardt, María Florencia. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigación de la Cadena Láctea (IDICAL); Argentina
dc.description.filFil: Amadio, Ariel. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigación de la Cadena Láctea (IDICAL); Argentina
dc.subtypecientifico


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