Molecular characterizaion and core collection evaluation of Manihot esculenta Crantz.
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
Texto Completo: | http://www.alice.cnptia.embrapa.br/alice/handle/doc/1131056 http://dx.doi.org/ BJ-v36n0a2020-48247 |
Resumo: | Cassava is one of the most important subsistence crops in tropical regions. It is necessary to preserve and to know the genetic diversity existent for the adequate use of genetic resources. The evaluation of genetic diversity among genotypes results in information about potential parents in breeding programs, allows duplicates identification, and facilitates germplasm exchange between research institutions. The objective of this study was to characterize the genetic diversity of cassava accessions of North Brazil region. A total of 106 accessions were analyzed using ten microsatellite markers. The genetic parameters estimated were: expected heterozygosity (HE), observed heterozygosity (HO) and polymorphic information content (PIC). Clustering was performed using the UPGMA and Neighbor-Joining (NJ) method. Bayesian analysis, analysis of principal coordinates and identification of a core collection were also used. The ten loci amplified 8,40 alleles on average. The average heterozygosity estimates were: HE = 0.71, HO = 0.58 and PIC = 0.72. Genetic distances ranged from 0.158 to 0.908. Six (5,66%) accesses were redundant. Clustering and dispersion analysis didn?t differentiate bitter from sweet cassava, and there wasn?t correlation between groups and collect origin. The core collection consisted of 22 individuals that represented 94% of total allelic diversity and 20,75% of the base collection. The results indicate high dissimilarity between the accessions and allowed the detection of redundant genotypes, showing the use of genetic markers as informative tools for the management of collections. |
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Molecular characterizaion and core collection evaluation of Manihot esculenta Crantz.ManiocYucaMarcador microssatéliteHeterozigosidadeMétodo UPGMAMétodo Neighbor-JoiningAnálise bayesianaBayesin analysisFitomejoramientoVariación geneticaRepeticiones de microsatéliteHeterocigosidadAcreAmazonasRoraimaSão PauloMandiocaManihot EsculentaMelhoramento Genético VegetalVariação GenéticaMarcador GenéticoCassavaPlant breedingGenetic variationMicrosatellite repeatsHeterozygosityCassava is one of the most important subsistence crops in tropical regions. It is necessary to preserve and to know the genetic diversity existent for the adequate use of genetic resources. The evaluation of genetic diversity among genotypes results in information about potential parents in breeding programs, allows duplicates identification, and facilitates germplasm exchange between research institutions. The objective of this study was to characterize the genetic diversity of cassava accessions of North Brazil region. A total of 106 accessions were analyzed using ten microsatellite markers. The genetic parameters estimated were: expected heterozygosity (HE), observed heterozygosity (HO) and polymorphic information content (PIC). Clustering was performed using the UPGMA and Neighbor-Joining (NJ) method. Bayesian analysis, analysis of principal coordinates and identification of a core collection were also used. The ten loci amplified 8,40 alleles on average. The average heterozygosity estimates were: HE = 0.71, HO = 0.58 and PIC = 0.72. Genetic distances ranged from 0.158 to 0.908. Six (5,66%) accesses were redundant. Clustering and dispersion analysis didn?t differentiate bitter from sweet cassava, and there wasn?t correlation between groups and collect origin. The core collection consisted of 22 individuals that represented 94% of total allelic diversity and 20,75% of the base collection. The results indicate high dissimilarity between the accessions and allowed the detection of redundant genotypes, showing the use of genetic markers as informative tools for the management of collections.NATHALIA ALMEIDA COSTA, Universidade Federal do Acre (Ufac); HELLEN SANDRA FREIRES DA SILVA AZÊVEDO, Rede Bionorte; LUCIELIO MANOEL DA SILVA, CPAF-AC; ELISA FERREIRA MOURA CUNHA, CPATU; AMAURI SIVIERO, CPAF-AC; TATIANA DE CAMPOS, CPAF-AC.COSTA, N. A.AZÊVEDO, H. S. F. da S.SILVA, L. M. daCUNHA, E. F. M.SIVIERO, A.CAMPOS, T. de2021-04-05T15:34:15Z2021-04-05T15:34:15Z2021-04-052020info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleBioscience Journal, v. 36, p. 22-35, Nov./Dec. 2020. Supp. 1.1981-3163http://www.alice.cnptia.embrapa.br/alice/handle/doc/1131056http://dx.doi.org/ BJ-v36n0a2020-48247enginfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPA2021-04-05T15:34:24Zoai:www.alice.cnptia.embrapa.br:doc/1131056Repositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestopendoar:21542021-04-05T15:34:24falseRepositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestcg-riaa@embrapa.bropendoar:21542021-04-05T15:34:24Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false |
dc.title.none.fl_str_mv |
Molecular characterizaion and core collection evaluation of Manihot esculenta Crantz. |
title |
Molecular characterizaion and core collection evaluation of Manihot esculenta Crantz. |
spellingShingle |
Molecular characterizaion and core collection evaluation of Manihot esculenta Crantz. COSTA, N. A. Manioc Yuca Marcador microssatélite Heterozigosidade Método UPGMA Método Neighbor-Joining Análise bayesiana Bayesin analysis Fitomejoramiento Variación genetica Repeticiones de microsatélite Heterocigosidad Acre Amazonas Roraima São Paulo Mandioca Manihot Esculenta Melhoramento Genético Vegetal Variação Genética Marcador Genético Cassava Plant breeding Genetic variation Microsatellite repeats Heterozygosity |
title_short |
Molecular characterizaion and core collection evaluation of Manihot esculenta Crantz. |
title_full |
Molecular characterizaion and core collection evaluation of Manihot esculenta Crantz. |
title_fullStr |
Molecular characterizaion and core collection evaluation of Manihot esculenta Crantz. |
title_full_unstemmed |
Molecular characterizaion and core collection evaluation of Manihot esculenta Crantz. |
title_sort |
Molecular characterizaion and core collection evaluation of Manihot esculenta Crantz. |
author |
COSTA, N. A. |
author_facet |
COSTA, N. A. AZÊVEDO, H. S. F. da S. SILVA, L. M. da CUNHA, E. F. M. SIVIERO, A. CAMPOS, T. de |
author_role |
author |
author2 |
AZÊVEDO, H. S. F. da S. SILVA, L. M. da CUNHA, E. F. M. SIVIERO, A. CAMPOS, T. de |
author2_role |
author author author author author |
dc.contributor.none.fl_str_mv |
NATHALIA ALMEIDA COSTA, Universidade Federal do Acre (Ufac); HELLEN SANDRA FREIRES DA SILVA AZÊVEDO, Rede Bionorte; LUCIELIO MANOEL DA SILVA, CPAF-AC; ELISA FERREIRA MOURA CUNHA, CPATU; AMAURI SIVIERO, CPAF-AC; TATIANA DE CAMPOS, CPAF-AC. |
dc.contributor.author.fl_str_mv |
COSTA, N. A. AZÊVEDO, H. S. F. da S. SILVA, L. M. da CUNHA, E. F. M. SIVIERO, A. CAMPOS, T. de |
dc.subject.por.fl_str_mv |
Manioc Yuca Marcador microssatélite Heterozigosidade Método UPGMA Método Neighbor-Joining Análise bayesiana Bayesin analysis Fitomejoramiento Variación genetica Repeticiones de microsatélite Heterocigosidad Acre Amazonas Roraima São Paulo Mandioca Manihot Esculenta Melhoramento Genético Vegetal Variação Genética Marcador Genético Cassava Plant breeding Genetic variation Microsatellite repeats Heterozygosity |
topic |
Manioc Yuca Marcador microssatélite Heterozigosidade Método UPGMA Método Neighbor-Joining Análise bayesiana Bayesin analysis Fitomejoramiento Variación genetica Repeticiones de microsatélite Heterocigosidad Acre Amazonas Roraima São Paulo Mandioca Manihot Esculenta Melhoramento Genético Vegetal Variação Genética Marcador Genético Cassava Plant breeding Genetic variation Microsatellite repeats Heterozygosity |
description |
Cassava is one of the most important subsistence crops in tropical regions. It is necessary to preserve and to know the genetic diversity existent for the adequate use of genetic resources. The evaluation of genetic diversity among genotypes results in information about potential parents in breeding programs, allows duplicates identification, and facilitates germplasm exchange between research institutions. The objective of this study was to characterize the genetic diversity of cassava accessions of North Brazil region. A total of 106 accessions were analyzed using ten microsatellite markers. The genetic parameters estimated were: expected heterozygosity (HE), observed heterozygosity (HO) and polymorphic information content (PIC). Clustering was performed using the UPGMA and Neighbor-Joining (NJ) method. Bayesian analysis, analysis of principal coordinates and identification of a core collection were also used. The ten loci amplified 8,40 alleles on average. The average heterozygosity estimates were: HE = 0.71, HO = 0.58 and PIC = 0.72. Genetic distances ranged from 0.158 to 0.908. Six (5,66%) accesses were redundant. Clustering and dispersion analysis didn?t differentiate bitter from sweet cassava, and there wasn?t correlation between groups and collect origin. The core collection consisted of 22 individuals that represented 94% of total allelic diversity and 20,75% of the base collection. The results indicate high dissimilarity between the accessions and allowed the detection of redundant genotypes, showing the use of genetic markers as informative tools for the management of collections. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020 2021-04-05T15:34:15Z 2021-04-05T15:34:15Z 2021-04-05 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
Bioscience Journal, v. 36, p. 22-35, Nov./Dec. 2020. Supp. 1. 1981-3163 http://www.alice.cnptia.embrapa.br/alice/handle/doc/1131056 http://dx.doi.org/ BJ-v36n0a2020-48247 |
identifier_str_mv |
Bioscience Journal, v. 36, p. 22-35, Nov./Dec. 2020. Supp. 1. 1981-3163 |
url |
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1131056 http://dx.doi.org/ BJ-v36n0a2020-48247 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
reponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa) instacron:EMBRAPA |
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Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
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EMBRAPA |
institution |
EMBRAPA |
reponame_str |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
collection |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
repository.name.fl_str_mv |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
repository.mail.fl_str_mv |
cg-riaa@embrapa.br |
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1794503503943565312 |