Genetic diversity and population structure of sweet cassava using simple sequence repeat (SSR) molecular markers

Autores
Ribeiro Da Costa, Tiago; Vidigal Filho, Pedro Soares; Gonçalves Vidigal, Maria Celeste; Galván, Marta Zulema; Figueiredo Lacanallo, Giselly; Da Silva, Luciano Ivano; Kvitschal, Marcus Vinicius
Año de publicación
2013
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The objective of this study was to evaluate the population structure and genetic diversity among 66 sweet cassava (Manihot esculenta Crantz) traditional accessions collected in Maringa, Parana, Brazil, using microsatellite molecular markers. Population structure was analyzed by means of genetic distances and probabilistic models; allelic frequencies were used in order to assess the genetic diversity indexes (Ht , Ho, PIC, % polymorphism and number of alleles) for each locus studied. All evaluated loci were polymorphic and the average was highly heterozygote. The number of alleles per locus was low, suggesting that restrict genetic base is a consequence of accession exchange and a reduced number of ancestors in the population. The polymorphic information content (PIC) values showed considerable genetic diversity with a mean value of 0.5076 and peak of 0.5707 for locus GA140. The microsatellites markers revealed a wide genetic variability among the traditional accessions evaluated. Moreover, the sweet cassava populations were separated in two groups using two analytical methods (probabilistic and genetic distances). The most divergent accessions were BGM 17, BGM 20, BGM 51 and BGM 95. On the other hand, the most similar accessions were BGM 25, BGM 33, BGM 37, BGM 59 and BGM 214. Hybrid combinations formed by the most divergent combinations, especially between BGM 51 × BGM 296, BGM 95 × BGM 222 and BGM 20 × BGM 12, are the most promising ones for future sweet cassava breeding programs
Fil: Ribeiro Da Costa, Tiago. Universidade Estadual de Maringá. Departamento de Agronomia; Brasil
Fil: Vidigal Filho, Pedro Soares. Universidade Estadual de Maringá. Departamento de Agronomia; Brasil
Fil: Gonçalves Vidigal, Maria Celeste. Universidade Estadual de Maringá. Departamento de Agronomia; Brasil
Fil: Galván, Marta Zulema. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Salta-Jujuy. Estación Experimental Agropecuaria Salta; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico La Plata. Instituto de Fisiología Vegetal; Argentina
Fil: Figueiredo Lacanallo, Giselly. Universidade Estadual de Maringá. Departamento de Agronomia; Brasil
Fil: Da Silva, Luciano Ivano. Universidade Estadual de Maringá. Departamento de Agronomia; Brasil
Fil: Kvitschal, Marcus Vinicius. Empresa de Pesquisa Agropecuária e Extensão Rural de Santa Catarina; Brasil
Materia
Genetic Diversity
Manihot Esculenta
Microsatellites
Sweet Cassava
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:11336/3171
Acceder
id CONICETDig_84b00640c6082696920db33894081a60
oai_identifier_str oai:ri.conicet.gov.ar:11336/3171
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Genetic diversity and population structure of sweet cassava using simple sequence repeat (SSR) molecular markersRibeiro Da Costa, TiagoVidigal Filho, Pedro SoaresGonçalves Vidigal, Maria CelesteGalván, Marta ZulemaFigueiredo Lacanallo, GisellyDa Silva, Luciano IvanoKvitschal, Marcus ViniciusGenetic DiversityManihot EsculentaMicrosatellitesSweet Cassavahttps://purl.org/becyt/ford/4.4https://purl.org/becyt/ford/4The objective of this study was to evaluate the population structure and genetic diversity among 66 sweet cassava (Manihot esculenta Crantz) traditional accessions collected in Maringa, Parana, Brazil, using microsatellite molecular markers. Population structure was analyzed by means of genetic distances and probabilistic models; allelic frequencies were used in order to assess the genetic diversity indexes (Ht , Ho, PIC, % polymorphism and number of alleles) for each locus studied. All evaluated loci were polymorphic and the average was highly heterozygote. The number of alleles per locus was low, suggesting that restrict genetic base is a consequence of accession exchange and a reduced number of ancestors in the population. The polymorphic information content (PIC) values showed considerable genetic diversity with a mean value of 0.5076 and peak of 0.5707 for locus GA140. The microsatellites markers revealed a wide genetic variability among the traditional accessions evaluated. Moreover, the sweet cassava populations were separated in two groups using two analytical methods (probabilistic and genetic distances). The most divergent accessions were BGM 17, BGM 20, BGM 51 and BGM 95. On the other hand, the most similar accessions were BGM 25, BGM 33, BGM 37, BGM 59 and BGM 214. Hybrid combinations formed by the most divergent combinations, especially between BGM 51 × BGM 296, BGM 95 × BGM 222 and BGM 20 × BGM 12, are the most promising ones for future sweet cassava breeding programsFil: Ribeiro Da Costa, Tiago. Universidade Estadual de Maringá. Departamento de Agronomia; BrasilFil: Vidigal Filho, Pedro Soares. Universidade Estadual de Maringá. Departamento de Agronomia; BrasilFil: Gonçalves Vidigal, Maria Celeste. Universidade Estadual de Maringá. Departamento de Agronomia; BrasilFil: Galván, Marta Zulema. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Salta-Jujuy. Estación Experimental Agropecuaria Salta; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico La Plata. Instituto de Fisiología Vegetal; ArgentinaFil: Figueiredo Lacanallo, Giselly. Universidade Estadual de Maringá. Departamento de Agronomia; BrasilFil: Da Silva, Luciano Ivano. Universidade Estadual de Maringá. Departamento de Agronomia; BrasilFil: Kvitschal, Marcus Vinicius. Empresa de Pesquisa Agropecuária e Extensão Rural de Santa Catarina; BrasilAcademic Journals2013-03info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/3171Ribeiro Da Costa, Tiago; Vidigal Filho, Pedro Soares; Gonçalves Vidigal, Maria Celeste; Galván, Marta Zulema; Figueiredo Lacanallo, Giselly ; et al.; Genetic diversity and population structure of sweet cassava using simple sequence repeat (SSR) molecular markers; Academic Journals; African Journal Of Biotechnology; 12; 10; 3-2013; 1040-10481684-5315enginfo:eu-repo/semantics/altIdentifier/url/https://academicjournals.org/journal/AJB/article-stat/541E2E422090info:eu-repo/semantics/altIdentifier/doi/10.5897/AJB12.2727info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-17T10:53:57Zoai:ri.conicet.gov.ar:11336/3171instacron: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:34982025-09-17 10:53:57.508CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Genetic diversity and population structure of sweet cassava using simple sequence repeat (SSR) molecular markers
title Genetic diversity and population structure of sweet cassava using simple sequence repeat (SSR) molecular markers
spellingShingle Genetic diversity and population structure of sweet cassava using simple sequence repeat (SSR) molecular markers
Ribeiro Da Costa, Tiago
Genetic Diversity
Manihot Esculenta
Microsatellites
Sweet Cassava
title_short Genetic diversity and population structure of sweet cassava using simple sequence repeat (SSR) molecular markers
title_full Genetic diversity and population structure of sweet cassava using simple sequence repeat (SSR) molecular markers
title_fullStr Genetic diversity and population structure of sweet cassava using simple sequence repeat (SSR) molecular markers
title_full_unstemmed Genetic diversity and population structure of sweet cassava using simple sequence repeat (SSR) molecular markers
title_sort Genetic diversity and population structure of sweet cassava using simple sequence repeat (SSR) molecular markers
dc.creator.none.fl_str_mv Ribeiro Da Costa, Tiago
Vidigal Filho, Pedro Soares
Gonçalves Vidigal, Maria Celeste
Galván, Marta Zulema
Figueiredo Lacanallo, Giselly
Da Silva, Luciano Ivano
Kvitschal, Marcus Vinicius
author Ribeiro Da Costa, Tiago
author_facet Ribeiro Da Costa, Tiago
Vidigal Filho, Pedro Soares
Gonçalves Vidigal, Maria Celeste
Galván, Marta Zulema
Figueiredo Lacanallo, Giselly
Da Silva, Luciano Ivano
Kvitschal, Marcus Vinicius
author_role author
author2 Vidigal Filho, Pedro Soares
Gonçalves Vidigal, Maria Celeste
Galván, Marta Zulema
Figueiredo Lacanallo, Giselly
Da Silva, Luciano Ivano
Kvitschal, Marcus Vinicius
author2_role author
author
author
author
author
author
dc.subject.none.fl_str_mv Genetic Diversity
Manihot Esculenta
Microsatellites
Sweet Cassava
topic Genetic Diversity
Manihot Esculenta
Microsatellites
Sweet Cassava
purl_subject.fl_str_mv https://purl.org/becyt/ford/4.4
https://purl.org/becyt/ford/4
dc.description.none.fl_txt_mv The objective of this study was to evaluate the population structure and genetic diversity among 66 sweet cassava (Manihot esculenta Crantz) traditional accessions collected in Maringa, Parana, Brazil, using microsatellite molecular markers. Population structure was analyzed by means of genetic distances and probabilistic models; allelic frequencies were used in order to assess the genetic diversity indexes (Ht , Ho, PIC, % polymorphism and number of alleles) for each locus studied. All evaluated loci were polymorphic and the average was highly heterozygote. The number of alleles per locus was low, suggesting that restrict genetic base is a consequence of accession exchange and a reduced number of ancestors in the population. The polymorphic information content (PIC) values showed considerable genetic diversity with a mean value of 0.5076 and peak of 0.5707 for locus GA140. The microsatellites markers revealed a wide genetic variability among the traditional accessions evaluated. Moreover, the sweet cassava populations were separated in two groups using two analytical methods (probabilistic and genetic distances). The most divergent accessions were BGM 17, BGM 20, BGM 51 and BGM 95. On the other hand, the most similar accessions were BGM 25, BGM 33, BGM 37, BGM 59 and BGM 214. Hybrid combinations formed by the most divergent combinations, especially between BGM 51 × BGM 296, BGM 95 × BGM 222 and BGM 20 × BGM 12, are the most promising ones for future sweet cassava breeding programs
Fil: Ribeiro Da Costa, Tiago. Universidade Estadual de Maringá. Departamento de Agronomia; Brasil
Fil: Vidigal Filho, Pedro Soares. Universidade Estadual de Maringá. Departamento de Agronomia; Brasil
Fil: Gonçalves Vidigal, Maria Celeste. Universidade Estadual de Maringá. Departamento de Agronomia; Brasil
Fil: Galván, Marta Zulema. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Salta-Jujuy. Estación Experimental Agropecuaria Salta; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico La Plata. Instituto de Fisiología Vegetal; Argentina
Fil: Figueiredo Lacanallo, Giselly. Universidade Estadual de Maringá. Departamento de Agronomia; Brasil
Fil: Da Silva, Luciano Ivano. Universidade Estadual de Maringá. Departamento de Agronomia; Brasil
Fil: Kvitschal, Marcus Vinicius. Empresa de Pesquisa Agropecuária e Extensão Rural de Santa Catarina; Brasil
description The objective of this study was to evaluate the population structure and genetic diversity among 66 sweet cassava (Manihot esculenta Crantz) traditional accessions collected in Maringa, Parana, Brazil, using microsatellite molecular markers. Population structure was analyzed by means of genetic distances and probabilistic models; allelic frequencies were used in order to assess the genetic diversity indexes (Ht , Ho, PIC, % polymorphism and number of alleles) for each locus studied. All evaluated loci were polymorphic and the average was highly heterozygote. The number of alleles per locus was low, suggesting that restrict genetic base is a consequence of accession exchange and a reduced number of ancestors in the population. The polymorphic information content (PIC) values showed considerable genetic diversity with a mean value of 0.5076 and peak of 0.5707 for locus GA140. The microsatellites markers revealed a wide genetic variability among the traditional accessions evaluated. Moreover, the sweet cassava populations were separated in two groups using two analytical methods (probabilistic and genetic distances). The most divergent accessions were BGM 17, BGM 20, BGM 51 and BGM 95. On the other hand, the most similar accessions were BGM 25, BGM 33, BGM 37, BGM 59 and BGM 214. Hybrid combinations formed by the most divergent combinations, especially between BGM 51 × BGM 296, BGM 95 × BGM 222 and BGM 20 × BGM 12, are the most promising ones for future sweet cassava breeding programs
publishDate 2013
dc.date.none.fl_str_mv 2013-03
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/11336/3171
Ribeiro Da Costa, Tiago; Vidigal Filho, Pedro Soares; Gonçalves Vidigal, Maria Celeste; Galván, Marta Zulema; Figueiredo Lacanallo, Giselly ; et al.; Genetic diversity and population structure of sweet cassava using simple sequence repeat (SSR) molecular markers; Academic Journals; African Journal Of Biotechnology; 12; 10; 3-2013; 1040-1048
1684-5315
url http://hdl.handle.net/11336/3171
identifier_str_mv Ribeiro Da Costa, Tiago; Vidigal Filho, Pedro Soares; Gonçalves Vidigal, Maria Celeste; Galván, Marta Zulema; Figueiredo Lacanallo, Giselly ; et al.; Genetic diversity and population structure of sweet cassava using simple sequence repeat (SSR) molecular markers; Academic Journals; African Journal Of Biotechnology; 12; 10; 3-2013; 1040-1048
1684-5315
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://academicjournals.org/journal/AJB/article-stat/541E2E422090
info:eu-repo/semantics/altIdentifier/doi/10.5897/AJB12.2727
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 Academic Journals
publisher.none.fl_str_mv Academic Journals
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
_version_ 1843606186619830272
score 13.000565

Publicaciones similares