Genetic diversity of long-established populations of Elaeis guineensis jacquin (Arecaceae)

Detalhes bibliográficos
Autor(a) principal: Chagas,Kyvia Pontes Teixeira das
Data de Publicação: 2019
Outros Autores: Freire,Ageu da Silva Monteiro, Pinheiro,Luciana Gomes, Fajardo,Cristiane Gouvêa, Vieira,Fábio de Almeida
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista brasileira de fruticultura (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-29452019000400801
Resumo: Abstract This study aimed to estimate the genetic diversity of three Elaeis guineensis populations in Rio Grande do Norte state, as well as to verify the decreases in effective population size. The population with the highest polymorphism was MAT (Mata) with+ 57 loci (72%), followed by RIA (Riacho) with 54 loci (68%) and HOR (Horta) with 34 loci (43.03%). The RIA population was shown to be the most genetically diverse, with Nei (h = 0.28) and Shannon (I = 0.41) diversity indices. There was high genetic differentiation among populations (AMOVA, analysis of molecular variance = 42%), which was separated into three distinct genetic groups according to a Bayesian analysis. There was a significant population decrease (P < 0.05) for the HOR population in the IAM (infinite allele model) and SMM (stepwise mutation model), and for the RIA population in the IAM. The data obtained in this study may support ex-situ conservation projects for Elaeis guineensis, contributing to the selection of genotypes and their sustainable use.
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spelling Genetic diversity of long-established populations of Elaeis guineensis jacquin (Arecaceae)Molecular MarkerBottleneckISSRConservationAbstract This study aimed to estimate the genetic diversity of three Elaeis guineensis populations in Rio Grande do Norte state, as well as to verify the decreases in effective population size. The population with the highest polymorphism was MAT (Mata) with+ 57 loci (72%), followed by RIA (Riacho) with 54 loci (68%) and HOR (Horta) with 34 loci (43.03%). The RIA population was shown to be the most genetically diverse, with Nei (h = 0.28) and Shannon (I = 0.41) diversity indices. There was high genetic differentiation among populations (AMOVA, analysis of molecular variance = 42%), which was separated into three distinct genetic groups according to a Bayesian analysis. There was a significant population decrease (P < 0.05) for the HOR population in the IAM (infinite allele model) and SMM (stepwise mutation model), and for the RIA population in the IAM. The data obtained in this study may support ex-situ conservation projects for Elaeis guineensis, contributing to the selection of genotypes and their sustainable use.Sociedade Brasileira de Fruticultura2019-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-29452019000400801Revista Brasileira de Fruticultura v.41 n.4 2019reponame:Revista brasileira de fruticultura (Online)instname:Sociedade Brasileira de Fruticultura (SBF)instacron:SBFRU10.1590/0100-29452019023info:eu-repo/semantics/openAccessChagas,Kyvia Pontes Teixeira dasFreire,Ageu da Silva MonteiroPinheiro,Luciana GomesFajardo,Cristiane GouvêaVieira,Fábio de Almeidaeng2019-12-02T00:00:00Zoai:scielo:S0100-29452019000400801Revistahttp://www.scielo.br/rbfhttps://old.scielo.br/oai/scielo-oai.phprbf@fcav.unesp.br||http://rbf.org.br/1806-99670100-2945opendoar:2019-12-02T00:00Revista brasileira de fruticultura (Online) - Sociedade Brasileira de Fruticultura (SBF)false
dc.title.none.fl_str_mv Genetic diversity of long-established populations of Elaeis guineensis jacquin (Arecaceae)
title Genetic diversity of long-established populations of Elaeis guineensis jacquin (Arecaceae)
spellingShingle Genetic diversity of long-established populations of Elaeis guineensis jacquin (Arecaceae)
Chagas,Kyvia Pontes Teixeira das
Molecular Marker
Bottleneck
ISSR
Conservation
title_short Genetic diversity of long-established populations of Elaeis guineensis jacquin (Arecaceae)
title_full Genetic diversity of long-established populations of Elaeis guineensis jacquin (Arecaceae)
title_fullStr Genetic diversity of long-established populations of Elaeis guineensis jacquin (Arecaceae)
title_full_unstemmed Genetic diversity of long-established populations of Elaeis guineensis jacquin (Arecaceae)
title_sort Genetic diversity of long-established populations of Elaeis guineensis jacquin (Arecaceae)
author Chagas,Kyvia Pontes Teixeira das
author_facet Chagas,Kyvia Pontes Teixeira das
Freire,Ageu da Silva Monteiro
Pinheiro,Luciana Gomes
Fajardo,Cristiane Gouvêa
Vieira,Fábio de Almeida
author_role author
author2 Freire,Ageu da Silva Monteiro
Pinheiro,Luciana Gomes
Fajardo,Cristiane Gouvêa
Vieira,Fábio de Almeida
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Chagas,Kyvia Pontes Teixeira das
Freire,Ageu da Silva Monteiro
Pinheiro,Luciana Gomes
Fajardo,Cristiane Gouvêa
Vieira,Fábio de Almeida
dc.subject.por.fl_str_mv Molecular Marker
Bottleneck
ISSR
Conservation
topic Molecular Marker
Bottleneck
ISSR
Conservation
description Abstract This study aimed to estimate the genetic diversity of three Elaeis guineensis populations in Rio Grande do Norte state, as well as to verify the decreases in effective population size. The population with the highest polymorphism was MAT (Mata) with+ 57 loci (72%), followed by RIA (Riacho) with 54 loci (68%) and HOR (Horta) with 34 loci (43.03%). The RIA population was shown to be the most genetically diverse, with Nei (h = 0.28) and Shannon (I = 0.41) diversity indices. There was high genetic differentiation among populations (AMOVA, analysis of molecular variance = 42%), which was separated into three distinct genetic groups according to a Bayesian analysis. There was a significant population decrease (P < 0.05) for the HOR population in the IAM (infinite allele model) and SMM (stepwise mutation model), and for the RIA population in the IAM. The data obtained in this study may support ex-situ conservation projects for Elaeis guineensis, contributing to the selection of genotypes and their sustainable use.
publishDate 2019
dc.date.none.fl_str_mv 2019-01-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-29452019000400801
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-29452019000400801
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/0100-29452019023
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Sociedade Brasileira de Fruticultura
publisher.none.fl_str_mv Sociedade Brasileira de Fruticultura
dc.source.none.fl_str_mv Revista Brasileira de Fruticultura v.41 n.4 2019
reponame:Revista brasileira de fruticultura (Online)
instname:Sociedade Brasileira de Fruticultura (SBF)
instacron:SBFRU
instname_str Sociedade Brasileira de Fruticultura (SBF)
instacron_str SBFRU
institution SBFRU
reponame_str Revista brasileira de fruticultura (Online)
collection Revista brasileira de fruticultura (Online)
repository.name.fl_str_mv Revista brasileira de fruticultura (Online) - Sociedade Brasileira de Fruticultura (SBF)
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