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Resumen
Anadenanthera colubrina var. cebil is the paradigmatic tree species of the Seasonally Dry Tropical Forest (SDTF) of central South America. The southernmost part of its range is divided into two disjunct nuclei: Misiones (Mi) and the Sub-Andean Piedmont (SAP), separated by some 800 km and with contrasting environmental conditions. This disjunct distribution provides a suitable experimental scenario to evaluate possible adaptive changes. We sampled 262 [ver mas...]
dc.contributor.authorBruera, Camila Rocío
dc.contributor.authorGarcía, María Victoria
dc.contributor.authorPastorino, Mario Juan
dc.date.accessioned2025-08-19T12:41:34Z
dc.date.available2025-08-19T12:41:34Z
dc.date.issued2025-07
dc.identifier.issn0024-4074
dc.identifier.issn1095-8339
dc.identifier.otherhttps://doi.org/10.1093/botlinnean/boaf045
dc.identifier.urihttp://hdl.handle.net/20.500.12123/23468
dc.identifier.urihttps://academic.oup.com/botlinnean/advance-article-abstract/doi/10.1093/botlinnean/boaf045/8196431
dc.description.abstractAnadenanthera colubrina var. cebil is the paradigmatic tree species of the Seasonally Dry Tropical Forest (SDTF) of central South America. The southernmost part of its range is divided into two disjunct nuclei: Misiones (Mi) and the Sub-Andean Piedmont (SAP), separated by some 800 km and with contrasting environmental conditions. This disjunct distribution provides a suitable experimental scenario to evaluate possible adaptive changes. We sampled 262 individuals of the species from 26 natural populations from both nuclei and two rare ones from the Humid Chaco. Fresh leaves and ripe fruits were collected from each tree, on which 13 foliar and seven reproductive morphological traits were measured. Differences between regions and variability between and within populations were analysed using a linear mixed factorial model. To determine the possible relationship between phenotypic variability of morphological traits and ecological environmental variables, a redundancy analysis (RDA) was performed considering climate data from the CHELSA database, the enhanced vegetation index, and main soil depth. The three regions differed in half of the traits studied, with the greatest contrast between SAP and Mi, while the Humid Chaco was most similar to the latter. Variability between and within populations was found in almost all traits studied, indicating possible adaptive effects in the past and the potential occurrence of adaptations in the future. The ‘tree’ factor showed greater variability than the ‘population’ factor for almost all traits and even explained more of the variance than the residuals of the model. The RDA showed a clear separation between SAP and Mi populations and identified isothermality, mean temperature of the driest quarter, seasonality of precipitation, and precipitation of the warmest quarter as associated with the variability of the traits considered. These results are evidence of adaptation and also of a common gene pool due to a shared evolutionary history of both SDTF nuclei. Genetic studies using molecular markers and common garden trials should be carried out to gain more reliable conclusions.eng
dc.formatapplication/pdfes_AR
dc.language.isoenges_AR
dc.publisherOxford University Presses_AR
dc.rightsinfo:eu-repo/semantics/restrictedAccesses_AR
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/es_AR
dc.sourceBotanical Journal of the Linnean Society : 1-13 (July 2025)es_AR
dc.subjectÁrboleses_AR
dc.subjectTreeseng
dc.subjectMedio Ambientees_AR
dc.subjectEnvironmenteng
dc.subjectMorfología Vegetales_AR
dc.subjectPlant Morphologyeng
dc.subjectAnálisis de Redundanciaes_AR
dc.subjectRedundancy Analysiseng
dc.subjectBosqueses_AR
dc.subjectForestseng
dc.subject.otherAnadenanthera colubrina var. cebiles_AR
dc.titleDoes disjunct mean differentiated? Variability analysis of disjunct populations of the neotropical tree Anadenanthera colubrina var. cebil in phenotypic 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)es_AR
dc.description.origenEEA Barilochees_AR
dc.description.filFil: Bruera, Camila Rocío. Universidad Nacional de Misiones. Instituto de Biología Subtropical; Argentinaes_AR
dc.description.filFil: Bruera, Camila Rocío. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Biología Subtropical; Argentinaes_AR
dc.description.filFil: Bruera, Camila Rocío. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentinaes_AR
dc.description.filFil: García, María Victoria. Universidad Nacional de Misiones. Instituto de Biología Subtropical; Argentinaes_AR
dc.description.filFil: García, María Victoria. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Biología Subtropical; Argentinaes_AR
dc.description.filFil: García, María Victoria. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentinaes_AR
dc.description.filFil: García, María Victoria. Universidad Nacional de Misiones. Facultad de Ciencias Exactas, Químicas y Naturales. Departamento de Genética. Laboratorio de Genética de Poblaciones y del Paisaje; Argentinaes_AR
dc.description.filFil: Pastorino, Mario Juan. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Bariloche. Instituto de Investigaciones Forestales y Agropecuarias Bariloche; Argentinaes_AR
dc.description.filFil: Pastorino, Mario Juan. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones Forestales y Agropecuarias Bariloche; Argentinaes_AR
dc.subtypecientifico


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