Cargando…

Genetic divergence of rubber tree estimated by multivariate techniques and microsatellite markers

Genetic diversity of 60 Hevea genotypes, consisting of Asiatic, Amazonian, African and IAC clones, and pertaining to the genetic breeding program of the Agronomic Institute (IAC), Brazil, was estimated. Analyses were based on phenotypic multivariate parameters and microsatellites. Five agronomic des...

Descripción completa

Detalles Bibliográficos
Autores principales: Gouvêa, Lígia Regina Lima, Rubiano, Luciana Benchimol, Chioratto, Alisson Fernando, Zucchi, Maria Imaculada, de Souza Gonçalves, Paulo
Formato: Texto
Lenguaje:English
Publicado: Sociedade Brasileira de Genética 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3036869/
https://www.ncbi.nlm.nih.gov/pubmed/21637487
http://dx.doi.org/10.1590/S1415-47572010005000039
_version_ 1782197912850137088
author Gouvêa, Lígia Regina Lima
Rubiano, Luciana Benchimol
Chioratto, Alisson Fernando
Zucchi, Maria Imaculada
de Souza Gonçalves, Paulo
author_facet Gouvêa, Lígia Regina Lima
Rubiano, Luciana Benchimol
Chioratto, Alisson Fernando
Zucchi, Maria Imaculada
de Souza Gonçalves, Paulo
author_sort Gouvêa, Lígia Regina Lima
collection PubMed
description Genetic diversity of 60 Hevea genotypes, consisting of Asiatic, Amazonian, African and IAC clones, and pertaining to the genetic breeding program of the Agronomic Institute (IAC), Brazil, was estimated. Analyses were based on phenotypic multivariate parameters and microsatellites. Five agronomic descriptors were employed in multivariate procedures, such as Standard Euclidian Distance, Tocher clustering and principal component analysis. Genetic variability among the genotypes was estimated with 68 selected polymorphic SSRs, by way of Modified Rogers Genetic Distance and UPGMA clustering. Structure software in a Bayesian approach was used in discriminating among groups. Genetic diversity was estimated through Nei's statistics. The genotypes were clustered into 12 groups according to the Tocher method, while the molecular analysis identified six groups. In the phenotypic and microsatellite analyses, the Amazonian and IAC genotypes were distributed in several groups, whereas the Asiatic were in only a few. Observed heterozygosity ranged from 0.05 to 0.96. Both high total diversity (H(T') = 0.58) and high gene differentiation (G (st') = 0.61) were observed, and indicated high genetic variation among the 60 genotypes, which may be useful for breeding programs. The analyzed agronomic parameters and SSRs markers were effective in assessing genetic diversity among Hevea genotypes, besides proving to be useful for characterizing genetic variability.
format Text
id pubmed-3036869
institution National Center for Biotechnology Information
language English
publishDate 2010
publisher Sociedade Brasileira de Genética
record_format MEDLINE/PubMed
spelling pubmed-30368692011-06-02 Genetic divergence of rubber tree estimated by multivariate techniques and microsatellite markers Gouvêa, Lígia Regina Lima Rubiano, Luciana Benchimol Chioratto, Alisson Fernando Zucchi, Maria Imaculada de Souza Gonçalves, Paulo Genet Mol Biol Plant Genetics Genetic diversity of 60 Hevea genotypes, consisting of Asiatic, Amazonian, African and IAC clones, and pertaining to the genetic breeding program of the Agronomic Institute (IAC), Brazil, was estimated. Analyses were based on phenotypic multivariate parameters and microsatellites. Five agronomic descriptors were employed in multivariate procedures, such as Standard Euclidian Distance, Tocher clustering and principal component analysis. Genetic variability among the genotypes was estimated with 68 selected polymorphic SSRs, by way of Modified Rogers Genetic Distance and UPGMA clustering. Structure software in a Bayesian approach was used in discriminating among groups. Genetic diversity was estimated through Nei's statistics. The genotypes were clustered into 12 groups according to the Tocher method, while the molecular analysis identified six groups. In the phenotypic and microsatellite analyses, the Amazonian and IAC genotypes were distributed in several groups, whereas the Asiatic were in only a few. Observed heterozygosity ranged from 0.05 to 0.96. Both high total diversity (H(T') = 0.58) and high gene differentiation (G (st') = 0.61) were observed, and indicated high genetic variation among the 60 genotypes, which may be useful for breeding programs. The analyzed agronomic parameters and SSRs markers were effective in assessing genetic diversity among Hevea genotypes, besides proving to be useful for characterizing genetic variability. Sociedade Brasileira de Genética 2010 2010-06-01 /pmc/articles/PMC3036869/ /pubmed/21637487 http://dx.doi.org/10.1590/S1415-47572010005000039 Text en Copyright © 2010, Sociedade Brasileira de Genética. http://creativecommons.org/licenses/by/2.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Plant Genetics
Gouvêa, Lígia Regina Lima
Rubiano, Luciana Benchimol
Chioratto, Alisson Fernando
Zucchi, Maria Imaculada
de Souza Gonçalves, Paulo
Genetic divergence of rubber tree estimated by multivariate techniques and microsatellite markers
title Genetic divergence of rubber tree estimated by multivariate techniques and microsatellite markers
title_full Genetic divergence of rubber tree estimated by multivariate techniques and microsatellite markers
title_fullStr Genetic divergence of rubber tree estimated by multivariate techniques and microsatellite markers
title_full_unstemmed Genetic divergence of rubber tree estimated by multivariate techniques and microsatellite markers
title_short Genetic divergence of rubber tree estimated by multivariate techniques and microsatellite markers
title_sort genetic divergence of rubber tree estimated by multivariate techniques and microsatellite markers
topic Plant Genetics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3036869/
https://www.ncbi.nlm.nih.gov/pubmed/21637487
http://dx.doi.org/10.1590/S1415-47572010005000039
work_keys_str_mv AT gouvealigiareginalima geneticdivergenceofrubbertreeestimatedbymultivariatetechniquesandmicrosatellitemarkers
AT rubianolucianabenchimol geneticdivergenceofrubbertreeestimatedbymultivariatetechniquesandmicrosatellitemarkers
AT chiorattoalissonfernando geneticdivergenceofrubbertreeestimatedbymultivariatetechniquesandmicrosatellitemarkers
AT zucchimariaimaculada geneticdivergenceofrubbertreeestimatedbymultivariatetechniquesandmicrosatellitemarkers
AT desouzagoncalvespaulo geneticdivergenceofrubbertreeestimatedbymultivariatetechniquesandmicrosatellitemarkers