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Resumen
In some regions of Argentina and Brazil, the South American fruit fly Anastrepha fraterculus (Wied.) (Diptera: Tephritidae) causes significant damage to crops. An efficient integrated management program requires knowledge of pest population dynamics, dispersion patterns, sexual and oviposition behaviour, and adaptive landscape. The present study combined simple sequence repeat (SSR) molecular markers and morphometric datasets in order to analyse the [ver mas...]
dc.contributor.authorRodriguez, Angeles I.
dc.contributor.authorFerreyra, Laura Ines
dc.contributor.authorLanzavecchia, Silvia Beatriz
dc.contributor.authorGomez Cendra, Paula V.
dc.contributor.authorVilardi, Juan Cesar
dc.date.accessioned2019-05-16T11:18:29Z
dc.date.available2019-05-16T11:18:29Z
dc.date.issued2019-04
dc.identifier.issn1802-8829
dc.identifier.otherhttps://doi.org/10.14411/eje.2019.013
dc.identifier.urihttps://www.eje.cz/artkey/eje-201901-0013_cryptic_genetic_structure_in_an_argentinian_population_of_anastrepha_fraterculus_diptera_tephritidae_evidenc.php
dc.identifier.urihttp://hdl.handle.net/20.500.12123/5124
dc.description.abstractIn some regions of Argentina and Brazil, the South American fruit fly Anastrepha fraterculus (Wied.) (Diptera: Tephritidae) causes significant damage to crops. An efficient integrated management program requires knowledge of pest population dynamics, dispersion patterns, sexual and oviposition behaviour, and adaptive landscape. The present study combined simple sequence repeat (SSR) molecular markers and morphometric datasets in order to analyse the population structure and infer the oviposition resource use strategy of the females. Infested guava fruits were collected from nine wild trees in Tucumán, Argentina, and a total of 140 adult A. fraterculus were recovered. These were then measured for six morphometric traits and 89 of them were genotyped for eight SSR loci. Genetic variability estimates were high (expected heterozygosity = 0.71, allelic richness = 12.5), with 8 to 20 alleles per locus. According to Wright's F-statistics estimates, the highest proportion (83%) of genetic variation occurred within individuals while variance between and within fruits were similar (≈ 8.5%). Analysis of the cryptic genetic structure based on SSR using different approaches, namely discriminant analysis of principal components (DAPC) and sparse non-negative matrix factorization (SNMF), yielded results consistent with the occurrence of two clusters with virtually no admixture. Average kinship between individuals which had emerged from the same fruit (0.07) was lower than that expected for full-sib families. Univariate and multivariate analyses of phenotypic data showed 54-66% of variance among individuals within fruits and 34-46% among fruits. The comparison between phenotypic (PST) and molecular (FST) differentiation identified wing width and length as possible target of positive selection. The average kinship and high genetic variation within fruits, together with the highly significant genetic differentiation among fruits, supports the hypothesis that each fruit was colonised by about three ovipositing females. The results also indicate that females were able to disperse widely from the emergence site before mating and starting oviposition activity.eng
dc.formatapplication/pdfes_AR
dc.language.isoenges_AR
dc.publisherCzech Academy of Scienceses_AR
dc.rightsinfo:eu-repo/semantics/openAccesses_AR
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/
dc.sourceEuropean Journal of Entomology 116 : 109-122 (Abril 2019)es_AR
dc.subjectDipteraes_AR
dc.subjectTephritidaees_AR
dc.subjectAnastrepha fraterculuses_AR
dc.subjectGenetic Structureseng
dc.subjectEstructuras Genéticases_AR
dc.subjectMultivariate Analysiseng
dc.subjectAnálisis Multivariantees_AR
dc.subjectOvipositioneng
dc.subjectOviposiciónes_AR
dc.subjectArgentinaes_AR
dc.subject.otherMorphometryeng
dc.subject.otherMorfometríaes_AR
dc.titleCryptic genetic structure in an Argentinian population of Anastrepha fraterculus (Diptera: Tephritidae) evidenced by SSR markers and quantitative traitses_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.origenInstituto de Genéticaes_AR
dc.description.filFil: Rodriguez, Angeles I. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Ecología, Genética y Evolución; Argentinaes_AR
dc.description.filFil: Ferreyra, Laura Ines. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Ecología, Genética y Evolución; Argentinaes_AR
dc.description.filFil: Lanzavecchia, Silvia Beatriz. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Genética. Laboratorio de Genética de Insectos de Importancia Económica; Argentinaes_AR
dc.description.filFil: Gomez Cendra, Paula V. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Ecología, Genética y Evolución; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentinaes_AR
dc.description.filFil: Vilardi, Juan Cesar. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Ecología, Genética y Evolución; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentinaes_AR


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