Population genomics of fall armyworm by genotyping-by-sequencing: Implications for pest management
- Autores
- Ishizuka, Tamylin Kaori; Goes Cordeiro, Erick Mauricio; Alves Pereira, Alessandro; de Araújo Batista, Carlos Eduardo; Murúa, María Gabriela; Baldin Pinheiro, José; Sethi, Amit; Nagoshi, Rodney N.; Foresti, Josemar; Zucchi, Maria Imaculada
- Año de publicación
- 2023
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- The fall armyworm (FAW), Spodoptera frugiperda, is a significant pest of many crops in the world and it is native to the Americas, where the species has shown the ability to rapidly evolve resistance to insecticides and transgenic plants. Despite the importance of this species, there is a gap in the knowledge regarding the genetic structure of FAW in South America. Here, we examined the genetic diversity of FAW populations across a wide agricultural area of Brazil and Argentina using a Genotyping-by-Sequencing (GBS) approach. We also characterized samples by their host strain based on mitochondrial and Z-linked genetic markers. The GBS methodology enabled us to discover 3309 SNPs, including neutral and outlier markers. Data showed significant genetic structure between Brazil and Argentina populations, and also among the Argentinian ecoregions. Populations inside Brazil showed little genetic differentiation indicating high gene flow among locations and confirming that structure is related to the presence of corn and rice strains. Outlier analysis indicated 456 loci putatively under selection, including genes possibly related to resistance evolution. This study provides clarification of the population genetic structure of FAW in South America and highlights the importance of genomic research to understand the risks of spread of resistance genes.
Fil: Ishizuka, Tamylin Kaori. Universidade Estadual de Campinas; Brasil
Fil: Goes Cordeiro, Erick Mauricio. Universidade de Sao Paulo; Brasil
Fil: Alves Pereira, Alessandro. Universidade Estadual de Campinas; Brasil
Fil: de Araújo Batista, Carlos Eduardo. Universidade de Sao Paulo; Brasil
Fil: Murúa, María Gabriela. Universidad Nacional de Tucumán. Instituto de Bioprospección y Fisiología Vegetal. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet Noa Sur. Instituto de Bioprospección y Fisiología Vegetal; Argentina
Fil: Baldin Pinheiro, José. Universidade de Sao Paulo; Brasil
Fil: Sethi, Amit. No especifíca;
Fil: Nagoshi, Rodney N.. No especifíca;
Fil: Foresti, Josemar. No especifíca;
Fil: Zucchi, Maria Imaculada. Universidade Estadual de Campinas; Brasil - Materia
-
SPODOPTERA FRUGIPERDA
HOST STRAIN
RESISTANCE GENES - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/232972
Ver los metadatos del registro completo
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CONICET Digital (CONICET) |
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Population genomics of fall armyworm by genotyping-by-sequencing: Implications for pest managementIshizuka, Tamylin KaoriGoes Cordeiro, Erick MauricioAlves Pereira, Alessandrode Araújo Batista, Carlos EduardoMurúa, María GabrielaBaldin Pinheiro, JoséSethi, AmitNagoshi, Rodney N.Foresti, JosemarZucchi, Maria ImaculadaSPODOPTERA FRUGIPERDAHOST STRAINRESISTANCE GENEShttps://purl.org/becyt/ford/1.6https://purl.org/becyt/ford/1The fall armyworm (FAW), Spodoptera frugiperda, is a significant pest of many crops in the world and it is native to the Americas, where the species has shown the ability to rapidly evolve resistance to insecticides and transgenic plants. Despite the importance of this species, there is a gap in the knowledge regarding the genetic structure of FAW in South America. Here, we examined the genetic diversity of FAW populations across a wide agricultural area of Brazil and Argentina using a Genotyping-by-Sequencing (GBS) approach. We also characterized samples by their host strain based on mitochondrial and Z-linked genetic markers. The GBS methodology enabled us to discover 3309 SNPs, including neutral and outlier markers. Data showed significant genetic structure between Brazil and Argentina populations, and also among the Argentinian ecoregions. Populations inside Brazil showed little genetic differentiation indicating high gene flow among locations and confirming that structure is related to the presence of corn and rice strains. Outlier analysis indicated 456 loci putatively under selection, including genes possibly related to resistance evolution. This study provides clarification of the population genetic structure of FAW in South America and highlights the importance of genomic research to understand the risks of spread of resistance genes.Fil: Ishizuka, Tamylin Kaori. Universidade Estadual de Campinas; BrasilFil: Goes Cordeiro, Erick Mauricio. Universidade de Sao Paulo; BrasilFil: Alves Pereira, Alessandro. Universidade Estadual de Campinas; BrasilFil: de Araújo Batista, Carlos Eduardo. Universidade de Sao Paulo; BrasilFil: Murúa, María Gabriela. Universidad Nacional de Tucumán. Instituto de Bioprospección y Fisiología Vegetal. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet Noa Sur. Instituto de Bioprospección y Fisiología Vegetal; ArgentinaFil: Baldin Pinheiro, José. Universidade de Sao Paulo; BrasilFil: Sethi, Amit. No especifíca;Fil: Nagoshi, Rodney N.. No especifíca;Fil: Foresti, Josemar. No especifíca;Fil: Zucchi, Maria Imaculada. Universidade Estadual de Campinas; BrasilPublic Library of Science2023-04info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/232972Ishizuka, Tamylin Kaori; Goes Cordeiro, Erick Mauricio; Alves Pereira, Alessandro; de Araújo Batista, Carlos Eduardo; Murúa, María Gabriela; et al.; Population genomics of fall armyworm by genotyping-by-sequencing: Implications for pest management; Public Library of Science; Plos One; 18; 4 4; 4-2023; 1-161932-6203CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1371/journal.pone.0284587info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-15T15:18:37Zoai:ri.conicet.gov.ar:11336/232972instacron: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:34982025-10-15 15:18:38.245CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
Population genomics of fall armyworm by genotyping-by-sequencing: Implications for pest management |
title |
Population genomics of fall armyworm by genotyping-by-sequencing: Implications for pest management |
spellingShingle |
Population genomics of fall armyworm by genotyping-by-sequencing: Implications for pest management Ishizuka, Tamylin Kaori SPODOPTERA FRUGIPERDA HOST STRAIN RESISTANCE GENES |
title_short |
Population genomics of fall armyworm by genotyping-by-sequencing: Implications for pest management |
title_full |
Population genomics of fall armyworm by genotyping-by-sequencing: Implications for pest management |
title_fullStr |
Population genomics of fall armyworm by genotyping-by-sequencing: Implications for pest management |
title_full_unstemmed |
Population genomics of fall armyworm by genotyping-by-sequencing: Implications for pest management |
title_sort |
Population genomics of fall armyworm by genotyping-by-sequencing: Implications for pest management |
dc.creator.none.fl_str_mv |
Ishizuka, Tamylin Kaori Goes Cordeiro, Erick Mauricio Alves Pereira, Alessandro de Araújo Batista, Carlos Eduardo Murúa, María Gabriela Baldin Pinheiro, José Sethi, Amit Nagoshi, Rodney N. Foresti, Josemar Zucchi, Maria Imaculada |
author |
Ishizuka, Tamylin Kaori |
author_facet |
Ishizuka, Tamylin Kaori Goes Cordeiro, Erick Mauricio Alves Pereira, Alessandro de Araújo Batista, Carlos Eduardo Murúa, María Gabriela Baldin Pinheiro, José Sethi, Amit Nagoshi, Rodney N. Foresti, Josemar Zucchi, Maria Imaculada |
author_role |
author |
author2 |
Goes Cordeiro, Erick Mauricio Alves Pereira, Alessandro de Araújo Batista, Carlos Eduardo Murúa, María Gabriela Baldin Pinheiro, José Sethi, Amit Nagoshi, Rodney N. Foresti, Josemar Zucchi, Maria Imaculada |
author2_role |
author author author author author author author author author |
dc.subject.none.fl_str_mv |
SPODOPTERA FRUGIPERDA HOST STRAIN RESISTANCE GENES |
topic |
SPODOPTERA FRUGIPERDA HOST STRAIN RESISTANCE GENES |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/1.6 https://purl.org/becyt/ford/1 |
dc.description.none.fl_txt_mv |
The fall armyworm (FAW), Spodoptera frugiperda, is a significant pest of many crops in the world and it is native to the Americas, where the species has shown the ability to rapidly evolve resistance to insecticides and transgenic plants. Despite the importance of this species, there is a gap in the knowledge regarding the genetic structure of FAW in South America. Here, we examined the genetic diversity of FAW populations across a wide agricultural area of Brazil and Argentina using a Genotyping-by-Sequencing (GBS) approach. We also characterized samples by their host strain based on mitochondrial and Z-linked genetic markers. The GBS methodology enabled us to discover 3309 SNPs, including neutral and outlier markers. Data showed significant genetic structure between Brazil and Argentina populations, and also among the Argentinian ecoregions. Populations inside Brazil showed little genetic differentiation indicating high gene flow among locations and confirming that structure is related to the presence of corn and rice strains. Outlier analysis indicated 456 loci putatively under selection, including genes possibly related to resistance evolution. This study provides clarification of the population genetic structure of FAW in South America and highlights the importance of genomic research to understand the risks of spread of resistance genes. Fil: Ishizuka, Tamylin Kaori. Universidade Estadual de Campinas; Brasil Fil: Goes Cordeiro, Erick Mauricio. Universidade de Sao Paulo; Brasil Fil: Alves Pereira, Alessandro. Universidade Estadual de Campinas; Brasil Fil: de Araújo Batista, Carlos Eduardo. Universidade de Sao Paulo; Brasil Fil: Murúa, María Gabriela. Universidad Nacional de Tucumán. Instituto de Bioprospección y Fisiología Vegetal. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet Noa Sur. Instituto de Bioprospección y Fisiología Vegetal; Argentina Fil: Baldin Pinheiro, José. Universidade de Sao Paulo; Brasil Fil: Sethi, Amit. No especifíca; Fil: Nagoshi, Rodney N.. No especifíca; Fil: Foresti, Josemar. No especifíca; Fil: Zucchi, Maria Imaculada. Universidade Estadual de Campinas; Brasil |
description |
The fall armyworm (FAW), Spodoptera frugiperda, is a significant pest of many crops in the world and it is native to the Americas, where the species has shown the ability to rapidly evolve resistance to insecticides and transgenic plants. Despite the importance of this species, there is a gap in the knowledge regarding the genetic structure of FAW in South America. Here, we examined the genetic diversity of FAW populations across a wide agricultural area of Brazil and Argentina using a Genotyping-by-Sequencing (GBS) approach. We also characterized samples by their host strain based on mitochondrial and Z-linked genetic markers. The GBS methodology enabled us to discover 3309 SNPs, including neutral and outlier markers. Data showed significant genetic structure between Brazil and Argentina populations, and also among the Argentinian ecoregions. Populations inside Brazil showed little genetic differentiation indicating high gene flow among locations and confirming that structure is related to the presence of corn and rice strains. Outlier analysis indicated 456 loci putatively under selection, including genes possibly related to resistance evolution. This study provides clarification of the population genetic structure of FAW in South America and highlights the importance of genomic research to understand the risks of spread of resistance genes. |
publishDate |
2023 |
dc.date.none.fl_str_mv |
2023-04 |
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/11336/232972 Ishizuka, Tamylin Kaori; Goes Cordeiro, Erick Mauricio; Alves Pereira, Alessandro; de Araújo Batista, Carlos Eduardo; Murúa, María Gabriela; et al.; Population genomics of fall armyworm by genotyping-by-sequencing: Implications for pest management; Public Library of Science; Plos One; 18; 4 4; 4-2023; 1-16 1932-6203 CONICET Digital CONICET |
url |
http://hdl.handle.net/11336/232972 |
identifier_str_mv |
Ishizuka, Tamylin Kaori; Goes Cordeiro, Erick Mauricio; Alves Pereira, Alessandro; de Araújo Batista, Carlos Eduardo; Murúa, María Gabriela; et al.; Population genomics of fall armyworm by genotyping-by-sequencing: Implications for pest management; Public Library of Science; Plos One; 18; 4 4; 4-2023; 1-16 1932-6203 CONICET Digital CONICET |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/doi/10.1371/journal.pone.0284587 |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
dc.format.none.fl_str_mv |
application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
Public Library of Science |
publisher.none.fl_str_mv |
Public Library of Science |
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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1846083335373193216 |
score |
13.22299 |