Genetic structure of populations of the Pampean grassland mouse, Akodon azarae, in an agroecosystem under intensive management

Autores
Vera, Noelia Soledad; Chiappero, Marina Beatriz; Priotto, Jose Waldemar; Sommaro, Lucía Valeria; Steinmann, Andrea Rosa; Gardenal, Cristina Noemi
Año de publicación
2019
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Agroecosystems in central Argentina are a good example of landscape modification by human activities. We used the Pampean grassland mouse (Akodon azarae) as a biological model to assess the effects of landscape fragmentation on the genetic structure of natural populations present in the region. The species is a habitat specialist that is numerically dominant in relatively stable environments, such as remnant areas of native vegetation, stream borders, roadsides and railway banks. We used seven microsatellite loci to analyze the genetic population structure and to explore if there is sex-biased dispersal during the reproductive season at a fine geographical scale. Rodents were captured seasonally in trap lines located on roadsides in an agroecosystem of central Argentina. Values of genetic differentiation among populations and temporal patterns of spatial autocorrelation revealed that the genetic populations occupy areas larger than the sampling area. Causal modeling analyses showed that unfavorable habitats (secondary roads and crop fields) were not barriers to dispersal of Akodon azarae. The high levels of gene flow and the short duration of the low population density phase, followed by a fast recovery, would contribute to the maintenance of highly polymorphic populations. As expected for A. azarae's mating system, males were not genetically structured. However, females’ spatial genetic structure varied greatly over the year, which would be related to availability and quality of habitat, and to intrasex interactions. Our work contributes to the understanding of dispersal strategies in small mammals in anthropogenically fragmented habitats like intensively managed agroecosystems.
Fil: Vera, Noelia Soledad. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Diversidad y Ecología Animal. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas Físicas y Naturales. Instituto de Diversidad y Ecología Animal; Argentina. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales. Departamento de Fisiología. Cátedra de Genética de Poblaciones y Evolución; Argentina
Fil: Chiappero, Marina Beatriz. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Diversidad y Ecología Animal. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas Físicas y Naturales. Instituto de Diversidad y Ecología Animal; Argentina. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales. Departamento de Fisiología. Cátedra de Genética de Poblaciones y Evolución; Argentina
Fil: Priotto, Jose Waldemar. Universidad Nacional de Río Cuarto. Facultad de Ciencias Exactas Fisicoquímicas y Naturales. Instituto de Ciencias de la Tierra, Biodiversidad y Ambiente - Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Ciencias de la Tierra, Biodiversidad y Ambiente; Argentina
Fil: Sommaro, Lucía Valeria. Universidad Nacional de Jujuy. Instituto de Ecorregiones Andinas. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Salta. Instituto de Ecorregiones Andinas; Argentina
Fil: Steinmann, Andrea Rosa. Universidad Nacional de Río Cuarto. Facultad de Ciencias Exactas Fisicoquímicas y Naturales. Instituto de Ciencias de la Tierra, Biodiversidad y Ambiente - Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Ciencias de la Tierra, Biodiversidad y Ambiente; Argentina
Fil: Gardenal, Cristina Noemi. Universidad Nacional de Jujuy. Instituto de Ecorregiones Andinas. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Salta. Instituto de Ecorregiones Andinas; Argentina
Materia
AGROECOSYSTEM
AKODON AZARAE
MICROSATELLITE LOCI
SPATIAL GENETIC AUTOCORRELATION
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/123140
Acceder
id CONICETDig_28bbcecf1b9494b662d37933b26748c7
oai_identifier_str oai:ri.conicet.gov.ar:11336/123140
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Genetic structure of populations of the Pampean grassland mouse, Akodon azarae, in an agroecosystem under intensive managementVera, Noelia SoledadChiappero, Marina BeatrizPriotto, Jose WaldemarSommaro, Lucía ValeriaSteinmann, Andrea RosaGardenal, Cristina NoemiAGROECOSYSTEMAKODON AZARAEMICROSATELLITE LOCISPATIAL GENETIC AUTOCORRELATIONhttps://purl.org/becyt/ford/1.6https://purl.org/becyt/ford/1Agroecosystems in central Argentina are a good example of landscape modification by human activities. We used the Pampean grassland mouse (Akodon azarae) as a biological model to assess the effects of landscape fragmentation on the genetic structure of natural populations present in the region. The species is a habitat specialist that is numerically dominant in relatively stable environments, such as remnant areas of native vegetation, stream borders, roadsides and railway banks. We used seven microsatellite loci to analyze the genetic population structure and to explore if there is sex-biased dispersal during the reproductive season at a fine geographical scale. Rodents were captured seasonally in trap lines located on roadsides in an agroecosystem of central Argentina. Values of genetic differentiation among populations and temporal patterns of spatial autocorrelation revealed that the genetic populations occupy areas larger than the sampling area. Causal modeling analyses showed that unfavorable habitats (secondary roads and crop fields) were not barriers to dispersal of Akodon azarae. The high levels of gene flow and the short duration of the low population density phase, followed by a fast recovery, would contribute to the maintenance of highly polymorphic populations. As expected for A. azarae's mating system, males were not genetically structured. However, females’ spatial genetic structure varied greatly over the year, which would be related to availability and quality of habitat, and to intrasex interactions. Our work contributes to the understanding of dispersal strategies in small mammals in anthropogenically fragmented habitats like intensively managed agroecosystems.Fil: Vera, Noelia Soledad. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Diversidad y Ecología Animal. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas Físicas y Naturales. Instituto de Diversidad y Ecología Animal; Argentina. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales. Departamento de Fisiología. Cátedra de Genética de Poblaciones y Evolución; ArgentinaFil: Chiappero, Marina Beatriz. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Diversidad y Ecología Animal. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas Físicas y Naturales. Instituto de Diversidad y Ecología Animal; Argentina. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales. Departamento de Fisiología. Cátedra de Genética de Poblaciones y Evolución; ArgentinaFil: Priotto, Jose Waldemar. Universidad Nacional de Río Cuarto. Facultad de Ciencias Exactas Fisicoquímicas y Naturales. Instituto de Ciencias de la Tierra, Biodiversidad y Ambiente - Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Ciencias de la Tierra, Biodiversidad y Ambiente; ArgentinaFil: Sommaro, Lucía Valeria. Universidad Nacional de Jujuy. Instituto de Ecorregiones Andinas. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Salta. Instituto de Ecorregiones Andinas; ArgentinaFil: Steinmann, Andrea Rosa. Universidad Nacional de Río Cuarto. Facultad de Ciencias Exactas Fisicoquímicas y Naturales. Instituto de Ciencias de la Tierra, Biodiversidad y Ambiente - Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Ciencias de la Tierra, Biodiversidad y Ambiente; ArgentinaFil: Gardenal, Cristina Noemi. Universidad Nacional de Jujuy. Instituto de Ecorregiones Andinas. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Salta. Instituto de Ecorregiones Andinas; ArgentinaElsevier Gmbh2019-09info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/123140Vera, Noelia Soledad; Chiappero, Marina Beatriz; Priotto, Jose Waldemar; Sommaro, Lucía Valeria; Steinmann, Andrea Rosa; et al.; Genetic structure of populations of the Pampean grassland mouse, Akodon azarae, in an agroecosystem under intensive management; Elsevier Gmbh; Mammalian Biology; 98; 9-2019; 52-601616-5047CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/abs/pii/S1616504718303343info:eu-repo/semantics/altIdentifier/doi/10.1016/j.mambio.2019.07.001info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-22T11:53:59Zoai:ri.conicet.gov.ar:11336/123140instacron: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:34982025-10-22 11:54:00.002CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Genetic structure of populations of the Pampean grassland mouse, Akodon azarae, in an agroecosystem under intensive management
title Genetic structure of populations of the Pampean grassland mouse, Akodon azarae, in an agroecosystem under intensive management
spellingShingle Genetic structure of populations of the Pampean grassland mouse, Akodon azarae, in an agroecosystem under intensive management
Vera, Noelia Soledad
AGROECOSYSTEM
AKODON AZARAE
MICROSATELLITE LOCI
SPATIAL GENETIC AUTOCORRELATION
title_short Genetic structure of populations of the Pampean grassland mouse, Akodon azarae, in an agroecosystem under intensive management
title_full Genetic structure of populations of the Pampean grassland mouse, Akodon azarae, in an agroecosystem under intensive management
title_fullStr Genetic structure of populations of the Pampean grassland mouse, Akodon azarae, in an agroecosystem under intensive management
title_full_unstemmed Genetic structure of populations of the Pampean grassland mouse, Akodon azarae, in an agroecosystem under intensive management
title_sort Genetic structure of populations of the Pampean grassland mouse, Akodon azarae, in an agroecosystem under intensive management
dc.creator.none.fl_str_mv Vera, Noelia Soledad
Chiappero, Marina Beatriz
Priotto, Jose Waldemar
Sommaro, Lucía Valeria
Steinmann, Andrea Rosa
Gardenal, Cristina Noemi
author Vera, Noelia Soledad
author_facet Vera, Noelia Soledad
Chiappero, Marina Beatriz
Priotto, Jose Waldemar
Sommaro, Lucía Valeria
Steinmann, Andrea Rosa
Gardenal, Cristina Noemi
author_role author
author2 Chiappero, Marina Beatriz
Priotto, Jose Waldemar
Sommaro, Lucía Valeria
Steinmann, Andrea Rosa
Gardenal, Cristina Noemi
author2_role author
author
author
author
author
dc.subject.none.fl_str_mv AGROECOSYSTEM
AKODON AZARAE
MICROSATELLITE LOCI
SPATIAL GENETIC AUTOCORRELATION
topic AGROECOSYSTEM
AKODON AZARAE
MICROSATELLITE LOCI
SPATIAL GENETIC AUTOCORRELATION
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.6
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Agroecosystems in central Argentina are a good example of landscape modification by human activities. We used the Pampean grassland mouse (Akodon azarae) as a biological model to assess the effects of landscape fragmentation on the genetic structure of natural populations present in the region. The species is a habitat specialist that is numerically dominant in relatively stable environments, such as remnant areas of native vegetation, stream borders, roadsides and railway banks. We used seven microsatellite loci to analyze the genetic population structure and to explore if there is sex-biased dispersal during the reproductive season at a fine geographical scale. Rodents were captured seasonally in trap lines located on roadsides in an agroecosystem of central Argentina. Values of genetic differentiation among populations and temporal patterns of spatial autocorrelation revealed that the genetic populations occupy areas larger than the sampling area. Causal modeling analyses showed that unfavorable habitats (secondary roads and crop fields) were not barriers to dispersal of Akodon azarae. The high levels of gene flow and the short duration of the low population density phase, followed by a fast recovery, would contribute to the maintenance of highly polymorphic populations. As expected for A. azarae's mating system, males were not genetically structured. However, females’ spatial genetic structure varied greatly over the year, which would be related to availability and quality of habitat, and to intrasex interactions. Our work contributes to the understanding of dispersal strategies in small mammals in anthropogenically fragmented habitats like intensively managed agroecosystems.
Fil: Vera, Noelia Soledad. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Diversidad y Ecología Animal. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas Físicas y Naturales. Instituto de Diversidad y Ecología Animal; Argentina. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales. Departamento de Fisiología. Cátedra de Genética de Poblaciones y Evolución; Argentina
Fil: Chiappero, Marina Beatriz. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Diversidad y Ecología Animal. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas Físicas y Naturales. Instituto de Diversidad y Ecología Animal; Argentina. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales. Departamento de Fisiología. Cátedra de Genética de Poblaciones y Evolución; Argentina
Fil: Priotto, Jose Waldemar. Universidad Nacional de Río Cuarto. Facultad de Ciencias Exactas Fisicoquímicas y Naturales. Instituto de Ciencias de la Tierra, Biodiversidad y Ambiente - Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Ciencias de la Tierra, Biodiversidad y Ambiente; Argentina
Fil: Sommaro, Lucía Valeria. Universidad Nacional de Jujuy. Instituto de Ecorregiones Andinas. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Salta. Instituto de Ecorregiones Andinas; Argentina
Fil: Steinmann, Andrea Rosa. Universidad Nacional de Río Cuarto. Facultad de Ciencias Exactas Fisicoquímicas y Naturales. Instituto de Ciencias de la Tierra, Biodiversidad y Ambiente - Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Ciencias de la Tierra, Biodiversidad y Ambiente; Argentina
Fil: Gardenal, Cristina Noemi. Universidad Nacional de Jujuy. Instituto de Ecorregiones Andinas. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Salta. Instituto de Ecorregiones Andinas; Argentina
description Agroecosystems in central Argentina are a good example of landscape modification by human activities. We used the Pampean grassland mouse (Akodon azarae) as a biological model to assess the effects of landscape fragmentation on the genetic structure of natural populations present in the region. The species is a habitat specialist that is numerically dominant in relatively stable environments, such as remnant areas of native vegetation, stream borders, roadsides and railway banks. We used seven microsatellite loci to analyze the genetic population structure and to explore if there is sex-biased dispersal during the reproductive season at a fine geographical scale. Rodents were captured seasonally in trap lines located on roadsides in an agroecosystem of central Argentina. Values of genetic differentiation among populations and temporal patterns of spatial autocorrelation revealed that the genetic populations occupy areas larger than the sampling area. Causal modeling analyses showed that unfavorable habitats (secondary roads and crop fields) were not barriers to dispersal of Akodon azarae. The high levels of gene flow and the short duration of the low population density phase, followed by a fast recovery, would contribute to the maintenance of highly polymorphic populations. As expected for A. azarae's mating system, males were not genetically structured. However, females’ spatial genetic structure varied greatly over the year, which would be related to availability and quality of habitat, and to intrasex interactions. Our work contributes to the understanding of dispersal strategies in small mammals in anthropogenically fragmented habitats like intensively managed agroecosystems.
publishDate 2019
dc.date.none.fl_str_mv 2019-09
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/11336/123140
Vera, Noelia Soledad; Chiappero, Marina Beatriz; Priotto, Jose Waldemar; Sommaro, Lucía Valeria; Steinmann, Andrea Rosa; et al.; Genetic structure of populations of the Pampean grassland mouse, Akodon azarae, in an agroecosystem under intensive management; Elsevier Gmbh; Mammalian Biology; 98; 9-2019; 52-60
1616-5047
CONICET Digital
CONICET
url http://hdl.handle.net/11336/123140
identifier_str_mv Vera, Noelia Soledad; Chiappero, Marina Beatriz; Priotto, Jose Waldemar; Sommaro, Lucía Valeria; Steinmann, Andrea Rosa; et al.; Genetic structure of populations of the Pampean grassland mouse, Akodon azarae, in an agroecosystem under intensive management; Elsevier Gmbh; Mammalian Biology; 98; 9-2019; 52-60
1616-5047
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/abs/pii/S1616504718303343
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.mambio.2019.07.001
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier Gmbh
publisher.none.fl_str_mv Elsevier Gmbh
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 12.982451

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