Identification of key microorganisms in facultative stabilization ponds from dairy industries, using metagenomics
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...
| Autores principales: | , , , |
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| Formato: | info:ar-repo/semantics/artículo |
| Lenguaje: | Inglés |
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PeerJ Publishing
2022
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| Materias: | |
| Acceso en línea: | http://hdl.handle.net/20.500.12123/11530 https://peerj.com/articles/12772/ https://doi.org/10.7717/peerj.12772 |
| _version_ | 1855036589922582528 |
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| author | Irazoqui, Jose Matias Eberhardt, María Florencia Adjad, Maria Mercedes Amadio, Ariel |
| author_browse | Adjad, Maria Mercedes Amadio, Ariel Eberhardt, María Florencia Irazoqui, Jose Matias |
| author_facet | Irazoqui, Jose Matias Eberhardt, María Florencia Adjad, Maria Mercedes Amadio, Ariel |
| author_sort | Irazoqui, Jose Matias |
| collection | INTA Digital |
| description | 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 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. |
| format | info:ar-repo/semantics/artículo |
| id | INTA11530 |
| institution | Instituto Nacional de Tecnología Agropecuaria (INTA -Argentina) |
| language | Inglés |
| publishDate | 2022 |
| publishDateRange | 2022 |
| publishDateSort | 2022 |
| publisher | PeerJ Publishing |
| publisherStr | PeerJ Publishing |
| record_format | dspace |
| spelling | INTA115302022-04-01T10:49:20Z Identification of key microorganisms in facultative stabilization ponds from dairy industries, using metagenomics Irazoqui, Jose Matias Eberhardt, María Florencia Adjad, Maria Mercedes Amadio, Ariel Genomas Genética Bioinformática Biología Molecular Freshwater Bioinformatics Molecular Biology Genomes Genetics Agua Dulce Metagenomics Metabolic Pathways Freshwater Biology Metagenómica 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 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. EEA Rafaela Fil: Irazoqui, Jose Matias. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Rafaela. Instituto de Investigación de la Cadena Láctea; Argentina Fil: Eberhardt, Maria Florencia. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Rafaela. Instituto de Investigación de la Cadena Láctea; Argentina Fil: Adjad, Maria Mercedes. Instituto Nacional de Tecnologia Agropecuaria (INTA). Estacion Experimental Agropecuaria Rafaela, Rafaela, Santa Fe, Argentina Fil: Amadio, Ariel. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Rafaela. Instituto de Investigación de la Cadena Láctea; Argentina Fil: Irazoqui, Jose Matias. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigación de la Cadena Láctea (IDICAL); Argentina Fil: Eberhardt, María Florencia. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigación de la Cadena Láctea (IDICAL); Argentina Fil: Amadio, Ariel. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigación de la Cadena Láctea (IDICAL); Argentina 2022-04-01T10:24:10Z 2022-04-01T10:24:10Z 2022-03-14 info:ar-repo/semantics/artículo info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://hdl.handle.net/20.500.12123/11530 https://peerj.com/articles/12772/ Irazoqui JM, Eberhardt MF, Adjad MM, Amadio AF. 2022. Identification of key microorganisms in facultative stabilization ponds from dairy industries, using metagenomics. PeerJ 10:e12772 2167-8359 https://doi.org/10.7717/peerj.12772 eng info: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. info: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 pecuaria info:eu-repograntAgreement/INTA/PNBIO-1131043/AR./Bioinformática y Estadística Genómica. info:eu-repograntAgreement/INTA/PNAIyAV-1130034/AR./Desarrollo de procesos para la transformación de biomasa en bioenergía. info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) application/pdf PeerJ Publishing PeerJ 10 : e12772 (March 2022) |
| spellingShingle | Genomas Genética Bioinformática Biología Molecular Freshwater Bioinformatics Molecular Biology Genomes Genetics Agua Dulce Metagenomics Metabolic Pathways Freshwater Biology Metagenómica Irazoqui, Jose Matias Eberhardt, María Florencia Adjad, Maria Mercedes Amadio, Ariel Identification of key microorganisms in facultative stabilization ponds from dairy industries, using metagenomics |
| title | Identification of key microorganisms in facultative stabilization ponds from dairy industries, using metagenomics |
| title_full | Identification of key microorganisms in facultative stabilization ponds from dairy industries, using metagenomics |
| title_fullStr | Identification of key microorganisms in facultative stabilization ponds from dairy industries, using metagenomics |
| title_full_unstemmed | Identification of key microorganisms in facultative stabilization ponds from dairy industries, using metagenomics |
| title_short | Identification of key microorganisms in facultative stabilization ponds from dairy industries, using metagenomics |
| title_sort | identification of key microorganisms in facultative stabilization ponds from dairy industries using metagenomics |
| topic | Genomas Genética Bioinformática Biología Molecular Freshwater Bioinformatics Molecular Biology Genomes Genetics Agua Dulce Metagenomics Metabolic Pathways Freshwater Biology Metagenómica |
| url | http://hdl.handle.net/20.500.12123/11530 https://peerj.com/articles/12772/ https://doi.org/10.7717/peerj.12772 |
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