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Resumen
Saccharomyces cerevisiae isolates from grapes, soil, vine bark and buds collected at seven phenological stages of an annual growth cycle, were molecular typed by Microsatellite Multiplex PCR. Subsequently 30 S. cerevisiae genotypes were selected and the effect of vineyard environmental stressors, in both sublethal upper and lower levels, on their growth parameters was evaluated. The effect of low and high temperature (7–40 ◦C), pH (2.5–8.0), glucose [ver mas...]
dc.contributor.authorGonzalez, Magali Lucia Rosa
dc.contributor.authorValero, Eva
dc.contributor.authorChimeno, Selva Valeria
dc.contributor.authorGarrido Fernandez, Antonio
dc.contributor.authorRodriguez Gomez, Francisco
dc.contributor.authorRojo, Cecilia
dc.contributor.authorPaolinelli, Marcos
dc.contributor.authorArroyo Lopez, Francisco Noe
dc.contributor.authorCombina, Mariana
dc.contributor.authorMercado, Laura Analia
dc.date.accessioned2022-03-08T16:25:17Z
dc.date.available2022-03-08T16:25:17Z
dc.date.issued2022-03-07
dc.identifier.issn0023-6438
dc.identifier.otherhttps://doi.org/10.1016/j.lwt.2022.113157
dc.identifier.urihttp://hdl.handle.net/20.500.12123/11335
dc.identifier.urihttps://www.sciencedirect.com/science/article/pii/S0023643822000925
dc.description.abstractSaccharomyces cerevisiae isolates from grapes, soil, vine bark and buds collected at seven phenological stages of an annual growth cycle, were molecular typed by Microsatellite Multiplex PCR. Subsequently 30 S. cerevisiae genotypes were selected and the effect of vineyard environmental stressors, in both sublethal upper and lower levels, on their growth parameters was evaluated. The effect of low and high temperature (7–40 ◦C), pH (2.5–8.0), glucose concentration (3.0–300.0 g/L), nitrogen concentration (0.008–8.0 g/L), and copper presence (24 mg/L) were modelled individually using the reparametrized Gompertz equation. Multivariate ANOVA and Generalized Procrustes Analysis were used to determine the environmental stressor’s influence over the lag phase (λ) and the maximum specific growth rate (μmax). Both parameters were significantly affected by the S. cerevisiae genotype, the treatments, and the interaction between them. Despite a generalized reduction in μmax and a variable answer in λ, the 30 S. cerevisiae genotypes were able to overcome all the treatments. Extreme glucose limitation, copper presence and low temperature had the highest impact over the growth parameters. Interestingly, ten genotypes mostly distributed in the vineyard were the least affected, suggesting a greater acclimatization fitness and the possibility to persist in the changing conditions of the vine annual cycle.eng
dc.formatapplication/pdfes_AR
dc.language.isoenges_AR
dc.publisherElsevieres_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.
dc.rightsinfo:eu-repo/semantics/openAccesses_AR
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/
dc.sourceLWT, Food Science and Technology 158 : 113157 (2022)es_AR
dc.subjectVides_AR
dc.subjectGrapevineseng
dc.subjectLevaduraes_AR
dc.subjectYeastseng
dc.subjectIdentificaciónes_AR
dc.subjectIdentificationeng
dc.subjectMicrosatéliteses_AR
dc.subjectMicrosatelliteseng
dc.subjectSaccharomyces cerevisiaees_AR
dc.titleGrowth response of Saccharomyces cerevisiae strains to stressors associated to the vine cyclees_AR
dc.typeinfo:ar-repo/semantics/artículoes_AR
dc.typeinfo:eu-repo/semantics/articlees_AR
dc.typeinfo:eu-repo/semantics/publishedVersiones_AR
dc.rights.licenseCreative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.description.origenEEA Mendozaes_AR
dc.description.filFil: Gonzalez, Magali Lucia Rosa. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentinaes_AR
dc.description.filFil: Gonzalez, Magali Lucia Rosa. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Mendoza; Argentinaes_AR
dc.description.filFil: Valero, Eva. Universidad Pablo de Olavide. Departamento de Biología Molecular e Ingeniería Bioquímica; Españaes_AR
dc.description.filFil: Chimeno, Selva Valeria. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Mendoza; Argentinaes_AR
dc.description.filFil: Garrido Fernandez, Antonio. Universidad Pablo de Olavide. Departamento de Biotecnología de Alimentos, Instituto de la Grasa (IG); España. Consejo Superior de Investigaciones Científicas (CSIC); Españaes_AR
dc.description.filFil: Rodriguez Gomez, Francisco. Universidad Pablo de Olavide. Departamento de Biotecnología de Alimentos, Instituto de la Grasa (IG); España. Consejo Superior de Investigaciones Científicas (CSIC); Españaes_AR
dc.description.filFil: Rojo, Cecilia. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Mendoza; Argentinaes_AR
dc.description.filFil: Rojo, Cecilia. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentinaes_AR
dc.description.filFil: Paolinelli, Marcos. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Mendoza; Argentinaes_AR
dc.description.filFil: Arroyo Lopez, Francisco Noe. Universidad Pablo de Olavide. Departamento de Biotecnología de Alimentos, Instituto de la Grasa (IG); España. Consejo Superior de Investigaciones Científicas (CSIC); Españaes_AR
dc.description.filFil: Combina, Mariana. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Mendoza; Argentinaes_AR
dc.description.filFil: Mercado, Laura Analia. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Mendoza; Argentinaes_AR
dc.subtypecientifico


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