Diversidad genética y estructura poblacional en maíz templado argentino a través de métodos de filogenética computacional

Autores
Perdomo, Santiago I.; Baricalla, Agustín Ariel; Iglesias, Juliana
Año de publicación
2022
Idioma
español castellano
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
In maize, genetic diversity and population structure assessment by using new sequencing technologies is crucial since inbreeding reduces not only the fitness, but also the production-associated traits. The present work aims to evaluate the genetic diversity and genetic structure of a panel of 191 inbred lines from the Maize Breeding Program at EEA INTA Pergamino with the widely-used Illumina MaizeSNP50 BeadChip. To that end, two different Bayesian methodologies were investigated: STRUCTURE and fastSTRUCTURE altogether with NJ and UPGMA clustering methods. t-SNE was used for data visualization. Clustering results were validated by comparison with pedigree and heterotic pattern information. Population structure analysis provided an estimated K=10 groups (subpopulations) constituted by genotypes derived from families of syn. hybrid Pioneer, syn. BS13P, syn. 34 from INTA Leales, from AX882(F2) and M11 (F2), lines derived from P465 among some other mixed groups. Fst values from the 10-subpopulations ranged from 0.43-0.75, with an overall Fst=0.6 indicating a medium to a high amount of genetic differentiation. Therefore, inbreds from each subpopulation can be crossed and tested for heterosis. Overall, these results showed substantial genetic variability that could be exploited to obtain new maize varieties to meet future challenges. Important information is also provided for future genome wide association studies and marker-assisted selection.
EEA Pergamino
Fil: Perdomo, S. I. Universidad Nacional del Noroeste de la Provincia de Buenos Aires. Escuela de Ciencias Agrarias, Naturales y Ambientales; Argentina
Fil: Baricalla, A. A. Universidad Nacional del Noroeste de la Provincia de Buenos Aires. Escuela de Ciencias Agrarias, Naturales y Ambientales; Argentina
Fil: Baricalla, A. A. Universidad Nacional del Noroeste de la Provincia de Buenos Aires - Universidad Nacional de San Antonio de Areco - Consejo Nacional de Investigaciones Científicas y Técnicas - (UNNOBA - UNSAdA - CONICET). Centro de Investigaciones y Transferencias del Noroeste de la Provincia de Buenos Aires (CITNOBA); Argentina
Fil: Iglesias, Juliana. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Pergamino. Departamento de Maíz; Argentina
Fil: Iglesias, Juliana. Universidad Nacional del Noroeste de la Provincia de Buenos Aires. Escuela de Agrarias, Naturales y Ambientales; Argentina
Fuente
XII Congreso Nacional de Maíz "Maízificando conciencia", Pergamino, Buenos Aires, 8 al 10 de Noviembre de 2022. 3 p.
Materia
Maíz
Mejoramiento Genético
Variación genética
Maize
Genetic Improvement
Genetic Variation
Subpoblaciones
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
INTA Digital (INTA)
Institución
Instituto Nacional de Tecnología Agropecuaria
OAI Identificador
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spelling Diversidad genética y estructura poblacional en maíz templado argentino a través de métodos de filogenética computacionalPerdomo, Santiago I.Baricalla, Agustín ArielIglesias, JulianaMaízMejoramiento GenéticoVariación genéticaMaizeGenetic ImprovementGenetic VariationSubpoblacionesIn maize, genetic diversity and population structure assessment by using new sequencing technologies is crucial since inbreeding reduces not only the fitness, but also the production-associated traits. The present work aims to evaluate the genetic diversity and genetic structure of a panel of 191 inbred lines from the Maize Breeding Program at EEA INTA Pergamino with the widely-used Illumina MaizeSNP50 BeadChip. To that end, two different Bayesian methodologies were investigated: STRUCTURE and fastSTRUCTURE altogether with NJ and UPGMA clustering methods. t-SNE was used for data visualization. Clustering results were validated by comparison with pedigree and heterotic pattern information. Population structure analysis provided an estimated K=10 groups (subpopulations) constituted by genotypes derived from families of syn. hybrid Pioneer, syn. BS13P, syn. 34 from INTA Leales, from AX882(F2) and M11 (F2), lines derived from P465 among some other mixed groups. Fst values from the 10-subpopulations ranged from 0.43-0.75, with an overall Fst=0.6 indicating a medium to a high amount of genetic differentiation. Therefore, inbreds from each subpopulation can be crossed and tested for heterosis. Overall, these results showed substantial genetic variability that could be exploited to obtain new maize varieties to meet future challenges. Important information is also provided for future genome wide association studies and marker-assisted selection.EEA PergaminoFil: Perdomo, S. I. Universidad Nacional del Noroeste de la Provincia de Buenos Aires. Escuela de Ciencias Agrarias, Naturales y Ambientales; ArgentinaFil: Baricalla, A. A. Universidad Nacional del Noroeste de la Provincia de Buenos Aires. Escuela de Ciencias Agrarias, Naturales y Ambientales; ArgentinaFil: Baricalla, A. A. Universidad Nacional del Noroeste de la Provincia de Buenos Aires - Universidad Nacional de San Antonio de Areco - Consejo Nacional de Investigaciones Científicas y Técnicas - (UNNOBA - UNSAdA - CONICET). Centro de Investigaciones y Transferencias del Noroeste de la Provincia de Buenos Aires (CITNOBA); ArgentinaFil: Iglesias, Juliana. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Pergamino. Departamento de Maíz; ArgentinaFil: Iglesias, Juliana. Universidad Nacional del Noroeste de la Provincia de Buenos Aires. Escuela de Agrarias, Naturales y Ambientales; ArgentinaAsociación de Ingenieros Agrónomos del Norte de la Provincia de Buenos Aires2024-02-23T17:05:44Z2024-02-23T17:05:44Z2022-11info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdfhttp://hdl.handle.net/20.500.12123/16790XII Congreso Nacional de Maíz "Maízificando conciencia", Pergamino, Buenos Aires, 8 al 10 de Noviembre de 2022. 3 p.reponame:INTA Digital (INTA)instname:Instituto Nacional de Tecnología Agropecuariaspainfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)2025-10-23T11:18:42Zoai:localhost:20.500.12123/16790instacron:INTAInstitucionalhttp://repositorio.inta.gob.ar/Organismo científico-tecnológicoNo correspondehttp://repositorio.inta.gob.ar/oai/requesttripaldi.nicolas@inta.gob.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:l2025-10-23 11:18:43.201INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuariafalse
dc.title.none.fl_str_mv Diversidad genética y estructura poblacional en maíz templado argentino a través de métodos de filogenética computacional
title Diversidad genética y estructura poblacional en maíz templado argentino a través de métodos de filogenética computacional
spellingShingle Diversidad genética y estructura poblacional en maíz templado argentino a través de métodos de filogenética computacional
Perdomo, Santiago I.
Maíz
Mejoramiento Genético
Variación genética
Maize
Genetic Improvement
Genetic Variation
Subpoblaciones
title_short Diversidad genética y estructura poblacional en maíz templado argentino a través de métodos de filogenética computacional
title_full Diversidad genética y estructura poblacional en maíz templado argentino a través de métodos de filogenética computacional
title_fullStr Diversidad genética y estructura poblacional en maíz templado argentino a través de métodos de filogenética computacional
title_full_unstemmed Diversidad genética y estructura poblacional en maíz templado argentino a través de métodos de filogenética computacional
title_sort Diversidad genética y estructura poblacional en maíz templado argentino a través de métodos de filogenética computacional
dc.creator.none.fl_str_mv Perdomo, Santiago I.
Baricalla, Agustín Ariel
Iglesias, Juliana
author Perdomo, Santiago I.
author_facet Perdomo, Santiago I.
Baricalla, Agustín Ariel
Iglesias, Juliana
author_role author
author2 Baricalla, Agustín Ariel
Iglesias, Juliana
author2_role author
author
dc.subject.none.fl_str_mv Maíz
Mejoramiento Genético
Variación genética
Maize
Genetic Improvement
Genetic Variation
Subpoblaciones
topic Maíz
Mejoramiento Genético
Variación genética
Maize
Genetic Improvement
Genetic Variation
Subpoblaciones
dc.description.none.fl_txt_mv In maize, genetic diversity and population structure assessment by using new sequencing technologies is crucial since inbreeding reduces not only the fitness, but also the production-associated traits. The present work aims to evaluate the genetic diversity and genetic structure of a panel of 191 inbred lines from the Maize Breeding Program at EEA INTA Pergamino with the widely-used Illumina MaizeSNP50 BeadChip. To that end, two different Bayesian methodologies were investigated: STRUCTURE and fastSTRUCTURE altogether with NJ and UPGMA clustering methods. t-SNE was used for data visualization. Clustering results were validated by comparison with pedigree and heterotic pattern information. Population structure analysis provided an estimated K=10 groups (subpopulations) constituted by genotypes derived from families of syn. hybrid Pioneer, syn. BS13P, syn. 34 from INTA Leales, from AX882(F2) and M11 (F2), lines derived from P465 among some other mixed groups. Fst values from the 10-subpopulations ranged from 0.43-0.75, with an overall Fst=0.6 indicating a medium to a high amount of genetic differentiation. Therefore, inbreds from each subpopulation can be crossed and tested for heterosis. Overall, these results showed substantial genetic variability that could be exploited to obtain new maize varieties to meet future challenges. Important information is also provided for future genome wide association studies and marker-assisted selection.
EEA Pergamino
Fil: Perdomo, S. I. Universidad Nacional del Noroeste de la Provincia de Buenos Aires. Escuela de Ciencias Agrarias, Naturales y Ambientales; Argentina
Fil: Baricalla, A. A. Universidad Nacional del Noroeste de la Provincia de Buenos Aires. Escuela de Ciencias Agrarias, Naturales y Ambientales; Argentina
Fil: Baricalla, A. A. Universidad Nacional del Noroeste de la Provincia de Buenos Aires - Universidad Nacional de San Antonio de Areco - Consejo Nacional de Investigaciones Científicas y Técnicas - (UNNOBA - UNSAdA - CONICET). Centro de Investigaciones y Transferencias del Noroeste de la Provincia de Buenos Aires (CITNOBA); Argentina
Fil: Iglesias, Juliana. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Pergamino. Departamento de Maíz; Argentina
Fil: Iglesias, Juliana. Universidad Nacional del Noroeste de la Provincia de Buenos Aires. Escuela de Agrarias, Naturales y Ambientales; Argentina
description In maize, genetic diversity and population structure assessment by using new sequencing technologies is crucial since inbreeding reduces not only the fitness, but also the production-associated traits. The present work aims to evaluate the genetic diversity and genetic structure of a panel of 191 inbred lines from the Maize Breeding Program at EEA INTA Pergamino with the widely-used Illumina MaizeSNP50 BeadChip. To that end, two different Bayesian methodologies were investigated: STRUCTURE and fastSTRUCTURE altogether with NJ and UPGMA clustering methods. t-SNE was used for data visualization. Clustering results were validated by comparison with pedigree and heterotic pattern information. Population structure analysis provided an estimated K=10 groups (subpopulations) constituted by genotypes derived from families of syn. hybrid Pioneer, syn. BS13P, syn. 34 from INTA Leales, from AX882(F2) and M11 (F2), lines derived from P465 among some other mixed groups. Fst values from the 10-subpopulations ranged from 0.43-0.75, with an overall Fst=0.6 indicating a medium to a high amount of genetic differentiation. Therefore, inbreds from each subpopulation can be crossed and tested for heterosis. Overall, these results showed substantial genetic variability that could be exploited to obtain new maize varieties to meet future challenges. Important information is also provided for future genome wide association studies and marker-assisted selection.
publishDate 2022
dc.date.none.fl_str_mv 2022-11
2024-02-23T17:05:44Z
2024-02-23T17:05:44Z
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
format conferenceObject
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/20.500.12123/16790
url http://hdl.handle.net/20.500.12123/16790
dc.language.none.fl_str_mv spa
language spa
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Asociación de Ingenieros Agrónomos del Norte de la Provincia de Buenos Aires
publisher.none.fl_str_mv Asociación de Ingenieros Agrónomos del Norte de la Provincia de Buenos Aires
dc.source.none.fl_str_mv XII Congreso Nacional de Maíz "Maízificando conciencia", Pergamino, Buenos Aires, 8 al 10 de Noviembre de 2022. 3 p.
reponame:INTA Digital (INTA)
instname:Instituto Nacional de Tecnología Agropecuaria
reponame_str INTA Digital (INTA)
collection INTA Digital (INTA)
instname_str Instituto Nacional de Tecnología Agropecuaria
repository.name.fl_str_mv INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuaria
repository.mail.fl_str_mv tripaldi.nicolas@inta.gob.ar
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score 12.982451

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