Unraveling the genetic complexity of a cultivated breeding population of "yerba mate" (Ilex paraguariensis St. Hil.)

Autores
Paiva, Daniela Ivana; Cascales, Jimena; Rosetti, Maria Eva Natalia; Scherer, Rafael Alejandro; Gauchat, María Elena; Gottlieb, Alexandra Marina
Año de publicación
2020
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
We report the first comprehensive multilocus molecular characterization of cultivated Ilex paraguariensis plants belonging to a breeding program. Using nuclear and homologous chloroplastidic molecular markers, we have genotyped 158 plants from four plantation sites. Analyses of the nuclear data (187 variable dominant loci) allowed detecting high diversity (0.569), the occurrence of four distinct genetic clusters, and a low but significant differentiation among sites. Additionally, 20 chloroplastidic alleles were identified applying five microsatellite polymorphic markers, and a high chloroplastidic diversity was recognized (0.505); two haplogroups were distinguished amongst the 63 haplotypes detected. Our results from both nuclear and plastidic markers indicate that most genetic variation reside within plantations sites (≥ 95%), and that these plantations were established on highly variable materials (either as seeds or plantlets) derived from, at least, 63 maternal lineages. Moreover, our study suggests that the genetic structure within each plantation site was most likely shaped by past admixture favored by farmers´ practices during the establishment of each plantation. Also, subsequent constraints in gene flow and/or a low level of shared polymorphism among plantations could have contributed to current structure.
Fil: Paiva, Daniela Ivana. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Misiones. Estación Experimental Agropecuaria Montecarlo; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Cascales, Jimena. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Ecología, Genética y Evolución de Buenos Aires. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Ecología, Genética y Evolución de Buenos Aires; Argentina
Fil: Rosetti, Maria Eva Natalia. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Ecología, Genética y Evolución de Buenos Aires. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Ecología, Genética y Evolución de Buenos Aires; Argentina
Fil: Scherer, Rafael Alejandro. No especifíca;
Fil: Gauchat, María Elena. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Misiones. Estación Experimental Agropecuaria Montecarlo; Argentina
Fil: Gottlieb, Alexandra Marina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Ecología, Genética y Evolución de Buenos Aires. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Ecología, Genética y Evolución de Buenos Aires; Argentina
Materia
CHLOROPLASTIDIC MICROSATELLITES
GENETIC DIVERSITY
GENOTYPING
ISSR MARKERS
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/163610
Acceder
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network_name_str CONICET Digital (CONICET)
spelling Unraveling the genetic complexity of a cultivated breeding population of "yerba mate" (Ilex paraguariensis St. Hil.)Paiva, Daniela IvanaCascales, JimenaRosetti, Maria Eva NataliaScherer, Rafael AlejandroGauchat, María ElenaGottlieb, Alexandra MarinaCHLOROPLASTIDIC MICROSATELLITESGENETIC DIVERSITYGENOTYPINGISSR MARKERShttps://purl.org/becyt/ford/1.6https://purl.org/becyt/ford/1We report the first comprehensive multilocus molecular characterization of cultivated Ilex paraguariensis plants belonging to a breeding program. Using nuclear and homologous chloroplastidic molecular markers, we have genotyped 158 plants from four plantation sites. Analyses of the nuclear data (187 variable dominant loci) allowed detecting high diversity (0.569), the occurrence of four distinct genetic clusters, and a low but significant differentiation among sites. Additionally, 20 chloroplastidic alleles were identified applying five microsatellite polymorphic markers, and a high chloroplastidic diversity was recognized (0.505); two haplogroups were distinguished amongst the 63 haplotypes detected. Our results from both nuclear and plastidic markers indicate that most genetic variation reside within plantations sites (≥ 95%), and that these plantations were established on highly variable materials (either as seeds or plantlets) derived from, at least, 63 maternal lineages. Moreover, our study suggests that the genetic structure within each plantation site was most likely shaped by past admixture favored by farmers´ practices during the establishment of each plantation. Also, subsequent constraints in gene flow and/or a low level of shared polymorphism among plantations could have contributed to current structure.Fil: Paiva, Daniela Ivana. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Misiones. Estación Experimental Agropecuaria Montecarlo; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Cascales, Jimena. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Ecología, Genética y Evolución de Buenos Aires. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Ecología, Genética y Evolución de Buenos Aires; ArgentinaFil: Rosetti, Maria Eva Natalia. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Ecología, Genética y Evolución de Buenos Aires. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Ecología, Genética y Evolución de Buenos Aires; ArgentinaFil: Scherer, Rafael Alejandro. No especifíca;Fil: Gauchat, María Elena. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Misiones. Estación Experimental Agropecuaria Montecarlo; ArgentinaFil: Gottlieb, Alexandra Marina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Ecología, Genética y Evolución de Buenos Aires. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Ecología, Genética y Evolución de Buenos Aires; ArgentinaAcademia Brasileira de Ciencias2020-04info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/163610Paiva, Daniela Ivana; Cascales, Jimena; Rosetti, Maria Eva Natalia; Scherer, Rafael Alejandro; Gauchat, María Elena; et al.; Unraveling the genetic complexity of a cultivated breeding population of "yerba mate" (Ilex paraguariensis St. Hil.); Academia Brasileira de Ciencias; Anais da Academia Brasileira de Ciencias; 92; 1; 4-2020; 1-170001-37651678-2690CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1590/0001-3765202020190113info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:43:02Zoai:ri.conicet.gov.ar:11336/163610instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 09:43:03.105CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Unraveling the genetic complexity of a cultivated breeding population of "yerba mate" (Ilex paraguariensis St. Hil.)
title Unraveling the genetic complexity of a cultivated breeding population of "yerba mate" (Ilex paraguariensis St. Hil.)
spellingShingle Unraveling the genetic complexity of a cultivated breeding population of "yerba mate" (Ilex paraguariensis St. Hil.)
Paiva, Daniela Ivana
CHLOROPLASTIDIC MICROSATELLITES
GENETIC DIVERSITY
GENOTYPING
ISSR MARKERS
title_short Unraveling the genetic complexity of a cultivated breeding population of "yerba mate" (Ilex paraguariensis St. Hil.)
title_full Unraveling the genetic complexity of a cultivated breeding population of "yerba mate" (Ilex paraguariensis St. Hil.)
title_fullStr Unraveling the genetic complexity of a cultivated breeding population of "yerba mate" (Ilex paraguariensis St. Hil.)
title_full_unstemmed Unraveling the genetic complexity of a cultivated breeding population of "yerba mate" (Ilex paraguariensis St. Hil.)
title_sort Unraveling the genetic complexity of a cultivated breeding population of "yerba mate" (Ilex paraguariensis St. Hil.)
dc.creator.none.fl_str_mv Paiva, Daniela Ivana
Cascales, Jimena
Rosetti, Maria Eva Natalia
Scherer, Rafael Alejandro
Gauchat, María Elena
Gottlieb, Alexandra Marina
author Paiva, Daniela Ivana
author_facet Paiva, Daniela Ivana
Cascales, Jimena
Rosetti, Maria Eva Natalia
Scherer, Rafael Alejandro
Gauchat, María Elena
Gottlieb, Alexandra Marina
author_role author
author2 Cascales, Jimena
Rosetti, Maria Eva Natalia
Scherer, Rafael Alejandro
Gauchat, María Elena
Gottlieb, Alexandra Marina
author2_role author
author
author
author
author
dc.subject.none.fl_str_mv CHLOROPLASTIDIC MICROSATELLITES
GENETIC DIVERSITY
GENOTYPING
ISSR MARKERS
topic CHLOROPLASTIDIC MICROSATELLITES
GENETIC DIVERSITY
GENOTYPING
ISSR MARKERS
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.6
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv We report the first comprehensive multilocus molecular characterization of cultivated Ilex paraguariensis plants belonging to a breeding program. Using nuclear and homologous chloroplastidic molecular markers, we have genotyped 158 plants from four plantation sites. Analyses of the nuclear data (187 variable dominant loci) allowed detecting high diversity (0.569), the occurrence of four distinct genetic clusters, and a low but significant differentiation among sites. Additionally, 20 chloroplastidic alleles were identified applying five microsatellite polymorphic markers, and a high chloroplastidic diversity was recognized (0.505); two haplogroups were distinguished amongst the 63 haplotypes detected. Our results from both nuclear and plastidic markers indicate that most genetic variation reside within plantations sites (≥ 95%), and that these plantations were established on highly variable materials (either as seeds or plantlets) derived from, at least, 63 maternal lineages. Moreover, our study suggests that the genetic structure within each plantation site was most likely shaped by past admixture favored by farmers´ practices during the establishment of each plantation. Also, subsequent constraints in gene flow and/or a low level of shared polymorphism among plantations could have contributed to current structure.
Fil: Paiva, Daniela Ivana. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Misiones. Estación Experimental Agropecuaria Montecarlo; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Cascales, Jimena. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Ecología, Genética y Evolución de Buenos Aires. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Ecología, Genética y Evolución de Buenos Aires; Argentina
Fil: Rosetti, Maria Eva Natalia. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Ecología, Genética y Evolución de Buenos Aires. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Ecología, Genética y Evolución de Buenos Aires; Argentina
Fil: Scherer, Rafael Alejandro. No especifíca;
Fil: Gauchat, María Elena. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Misiones. Estación Experimental Agropecuaria Montecarlo; Argentina
Fil: Gottlieb, Alexandra Marina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Ecología, Genética y Evolución de Buenos Aires. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Ecología, Genética y Evolución de Buenos Aires; Argentina
description We report the first comprehensive multilocus molecular characterization of cultivated Ilex paraguariensis plants belonging to a breeding program. Using nuclear and homologous chloroplastidic molecular markers, we have genotyped 158 plants from four plantation sites. Analyses of the nuclear data (187 variable dominant loci) allowed detecting high diversity (0.569), the occurrence of four distinct genetic clusters, and a low but significant differentiation among sites. Additionally, 20 chloroplastidic alleles were identified applying five microsatellite polymorphic markers, and a high chloroplastidic diversity was recognized (0.505); two haplogroups were distinguished amongst the 63 haplotypes detected. Our results from both nuclear and plastidic markers indicate that most genetic variation reside within plantations sites (≥ 95%), and that these plantations were established on highly variable materials (either as seeds or plantlets) derived from, at least, 63 maternal lineages. Moreover, our study suggests that the genetic structure within each plantation site was most likely shaped by past admixture favored by farmers´ practices during the establishment of each plantation. Also, subsequent constraints in gene flow and/or a low level of shared polymorphism among plantations could have contributed to current structure.
publishDate 2020
dc.date.none.fl_str_mv 2020-04
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/163610
Paiva, Daniela Ivana; Cascales, Jimena; Rosetti, Maria Eva Natalia; Scherer, Rafael Alejandro; Gauchat, María Elena; et al.; Unraveling the genetic complexity of a cultivated breeding population of "yerba mate" (Ilex paraguariensis St. Hil.); Academia Brasileira de Ciencias; Anais da Academia Brasileira de Ciencias; 92; 1; 4-2020; 1-17
0001-3765
1678-2690
CONICET Digital
CONICET
url http://hdl.handle.net/11336/163610
identifier_str_mv Paiva, Daniela Ivana; Cascales, Jimena; Rosetti, Maria Eva Natalia; Scherer, Rafael Alejandro; Gauchat, María Elena; et al.; Unraveling the genetic complexity of a cultivated breeding population of "yerba mate" (Ilex paraguariensis St. Hil.); Academia Brasileira de Ciencias; Anais da Academia Brasileira de Ciencias; 92; 1; 4-2020; 1-17
0001-3765
1678-2690
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1590/0001-3765202020190113
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Academia Brasileira de Ciencias
publisher.none.fl_str_mv Academia Brasileira de Ciencias
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.070432

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