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dc.contributor.author
Garolera, Betsabé  
dc.contributor.author
Pajot, Hipolito Fernando  
dc.contributor.author
Fernandez, Pablo Marcelo  
dc.date.available
2024-06-06T10:34:26Z  
dc.date.issued
2023  
dc.identifier.citation
Exploration of heavy metal resistance in the yeast Wickerhamomyces anomalus: Implications for bioremediation; XIII Argentine Congress of Bioinformatics and Computational Biology; XIII International Conference of the Iberoamerican Society of Bioinformatics; III Annual Meeting of the Ibero-American Artificial Intelligence Network for Big BioData; Rosario; Argentina; 2023; 67-67  
dc.identifier.isbn
978-987-48989-7-5  
dc.identifier.uri
http://hdl.handle.net/11336/237241  
dc.description.abstract
The inadequate disposal of wastewater containing toxic heavy metals and industrial contaminants has become a critical issue today, posing serious risks to the health of humans, animals, and the environment. Numerous studies have investigated how heavy metals are absorbed, accumulated, and transformed using microorganisms. The yeast strain Wickerhamomyces anomalus M10 has demonstrated notable resistance to several heavy metals, showing promising potential for bioremediation. Therefore, through computational methods (In Silico studies) to investigate metal resistance mechanisms, relevant genes related to this resistance were identified. Specialized databases like BacMet and InterPro were used, compiling genes from bacteria and fungi that enhance survival under environmental stress. These databases categorize resistance genes based on their function and induced phenotypes. Using BacMet, we identified 59 genes, including 11 ABC-type transporters, 10 related to resistance and the efflux of multiple drugs, as well as proteins for copper (5), nickel (10), arsenic (2), mercury (5), and silver (1). These proteins perform functions in binding, reduction, and transport, along with superoxide dismutase proteins, DNA regulation, and repair genes. Additionally, through InterPro, we found 394 genes, including 257 transporters, 25 copper-related proteins, and 23 zinc-related proteins. Fifteen multidrug resistance proteins and other DNA regulation and repair genes (10) were detected. In summary, our bioinformatics analysis of Wickerhamomyces anomalus highlights its potential for bioremediation in metal-contaminated environments. It excels particularly in mitigating nickel and arsenic pollution due to resistance-related genes. However, comprehensive in vivo studies are required to confirm its survival and transformation capabilities against these metals. These findings underline the significant bioremediation potential of yeast strains. The study not only reveals genes that expand the scope of microbial bioremediation but also advances the concept of the substantial role of yeast strains in mitigating environmental pollution challenges.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Argentine Association of Bioinformatics and Computational Biology  
dc.rights
info:eu-repo/semantics/openAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
Bioinformatic  
dc.subject
Wickerhamomyces anomalus  
dc.subject
Heavy metals  
dc.subject
Bioremediation  
dc.subject.classification
Biotecnología Medioambiental  
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Biotecnología del Medio Ambiente  
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INGENIERÍAS Y TECNOLOGÍAS  
dc.title
Exploration of heavy metal resistance in the yeast Wickerhamomyces anomalus: Implications for bioremediation  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.type
info:eu-repo/semantics/conferenceObject  
dc.type
info:ar-repo/semantics/documento de conferencia  
dc.date.updated
2024-05-29T15:29:38Z  
dc.journal.pagination
67-67  
dc.journal.pais
Argentina  
dc.journal.ciudad
Ciudad Autónoma de Buenos Aires  
dc.description.fil
Fil: Garolera, Betsabé. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tucumán. Planta Piloto de Procesos Industriales Microbiológicos; Argentina  
dc.description.fil
Fil: Pajot, Hipolito Fernando. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tucumán. Planta Piloto de Procesos Industriales Microbiológicos; Argentina. Universidad Nacional de Catamarca. Facultad de Ciencias Exactas y Naturales; Argentina  
dc.description.fil
Fil: Fernandez, Pablo Marcelo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tucumán. Planta Piloto de Procesos Industriales Microbiológicos; Argentina. Universidad Nacional de Catamarca. Facultad de Ciencias Exactas y Naturales; Argentina  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/http://2023.a2b2c.org.ar/BookOfAbstracts2023.pdf  
dc.conicet.rol
Autor  
dc.conicet.rol
Autor  
dc.conicet.rol
Autor  
dc.coverage
Internacional  
dc.type.subtype
Congreso  
dc.description.nombreEvento
XIII Argentine Congress of Bioinformatics and Computational Biology; XIII International Conference of the Iberoamerican Society of Bioinformatics; III Annual Meeting of the Ibero-American Artificial Intelligence Network for Big BioData  
dc.date.evento
2023-11-01  
dc.description.ciudadEvento
Rosario  
dc.description.paisEvento
Argentina  
dc.type.publicacion
Book  
dc.description.institucionOrganizadora
Argentine Association of Bioinformatics and Computational Biology  
dc.source.libro
Book of Abstracts: XIII Argentine Congress of Bioinformatics and Computational Biology, XIII International Conference of the Iberoamerican Society of Bioinformatics and the III Annual Meeting of the Ibero-American Artificial Intelligence Network for Big BioData  
dc.date.eventoHasta
2023-11-03  
dc.type
Congreso