Assessment of genetic diversity in the Russian olive (Elaeagnus angustifolia) based on ISSR genetic markers

Detalhes bibliográficos
Autor(a) principal: Asadiar,Leila Sadat
Data de Publicação: 2013
Outros Autores: Rahmani,Fatemeh, Siami,Abbas
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista ciência agronômica (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902013000200013
Resumo: Elaeagnus is a Eurasian tree with 77 species worldwide. In this study, ISSR markers were used to establish the level of genetic relationships and polymorphism across nine genotypes of Elaeagnus angustifolia collected from 9 different regions of West Azarbaijan province. The ISSR analysis with 11 anchored primers also generated 116 scorable loci, of which 92 were polymorphic (79.3%). The estimated Jaccard similarity coefficient ranged from 0.44 to 0.76 for the ISSR markers. Cluster analysis was carried out, based on the Unweighted Pair Group Method with Arithmetic Averages (UPGMA) and the dendrogram drawn with the help of the NTSYSpc 2.02 software. The analysis revealed 5 main clusters for the ISSR data. According to our results, there is a relatively high genetic distance across E. angustifolia genotypes in the West Azarbaijan province of Iran. Furthermore, it could be inferred that ISSR markers are suitable tools for the evaluation of genetic diversity and relationships within the Elaeagnus genus.
id UFC-2_cb4af4531566077b20e79bb5817ea7e1
oai_identifier_str oai:scielo:S1806-66902013000200013
network_acronym_str UFC-2
network_name_str Revista ciência agronômica (Online)
repository_id_str
spelling Assessment of genetic diversity in the Russian olive (Elaeagnus angustifolia) based on ISSR genetic markersDendrogramRussian oliveGenetic variationMolecular markerElaeagnus is a Eurasian tree with 77 species worldwide. In this study, ISSR markers were used to establish the level of genetic relationships and polymorphism across nine genotypes of Elaeagnus angustifolia collected from 9 different regions of West Azarbaijan province. The ISSR analysis with 11 anchored primers also generated 116 scorable loci, of which 92 were polymorphic (79.3%). The estimated Jaccard similarity coefficient ranged from 0.44 to 0.76 for the ISSR markers. Cluster analysis was carried out, based on the Unweighted Pair Group Method with Arithmetic Averages (UPGMA) and the dendrogram drawn with the help of the NTSYSpc 2.02 software. The analysis revealed 5 main clusters for the ISSR data. According to our results, there is a relatively high genetic distance across E. angustifolia genotypes in the West Azarbaijan province of Iran. Furthermore, it could be inferred that ISSR markers are suitable tools for the evaluation of genetic diversity and relationships within the Elaeagnus genus.Universidade Federal do Ceará2013-06-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902013000200013Revista Ciência Agronômica v.44 n.2 2013reponame:Revista ciência agronômica (Online)instname:Universidade Federal do Ceará (UFC)instacron:UFC10.1590/S1806-66902013000200013info:eu-repo/semantics/openAccessAsadiar,Leila SadatRahmani,FatemehSiami,Abbaseng2013-02-14T00:00:00Zoai:scielo:S1806-66902013000200013Revistahttp://www.ccarevista.ufc.br/PUBhttps://old.scielo.br/oai/scielo-oai.php||alekdutra@ufc.br|| ccarev@ufc.br1806-66900045-6888opendoar:2013-02-14T00:00Revista ciência agronômica (Online) - Universidade Federal do Ceará (UFC)false
dc.title.none.fl_str_mv Assessment of genetic diversity in the Russian olive (Elaeagnus angustifolia) based on ISSR genetic markers
title Assessment of genetic diversity in the Russian olive (Elaeagnus angustifolia) based on ISSR genetic markers
spellingShingle Assessment of genetic diversity in the Russian olive (Elaeagnus angustifolia) based on ISSR genetic markers
Asadiar,Leila Sadat
Dendrogram
Russian olive
Genetic variation
Molecular marker
title_short Assessment of genetic diversity in the Russian olive (Elaeagnus angustifolia) based on ISSR genetic markers
title_full Assessment of genetic diversity in the Russian olive (Elaeagnus angustifolia) based on ISSR genetic markers
title_fullStr Assessment of genetic diversity in the Russian olive (Elaeagnus angustifolia) based on ISSR genetic markers
title_full_unstemmed Assessment of genetic diversity in the Russian olive (Elaeagnus angustifolia) based on ISSR genetic markers
title_sort Assessment of genetic diversity in the Russian olive (Elaeagnus angustifolia) based on ISSR genetic markers
author Asadiar,Leila Sadat
author_facet Asadiar,Leila Sadat
Rahmani,Fatemeh
Siami,Abbas
author_role author
author2 Rahmani,Fatemeh
Siami,Abbas
author2_role author
author
dc.contributor.author.fl_str_mv Asadiar,Leila Sadat
Rahmani,Fatemeh
Siami,Abbas
dc.subject.por.fl_str_mv Dendrogram
Russian olive
Genetic variation
Molecular marker
topic Dendrogram
Russian olive
Genetic variation
Molecular marker
description Elaeagnus is a Eurasian tree with 77 species worldwide. In this study, ISSR markers were used to establish the level of genetic relationships and polymorphism across nine genotypes of Elaeagnus angustifolia collected from 9 different regions of West Azarbaijan province. The ISSR analysis with 11 anchored primers also generated 116 scorable loci, of which 92 were polymorphic (79.3%). The estimated Jaccard similarity coefficient ranged from 0.44 to 0.76 for the ISSR markers. Cluster analysis was carried out, based on the Unweighted Pair Group Method with Arithmetic Averages (UPGMA) and the dendrogram drawn with the help of the NTSYSpc 2.02 software. The analysis revealed 5 main clusters for the ISSR data. According to our results, there is a relatively high genetic distance across E. angustifolia genotypes in the West Azarbaijan province of Iran. Furthermore, it could be inferred that ISSR markers are suitable tools for the evaluation of genetic diversity and relationships within the Elaeagnus genus.
publishDate 2013
dc.date.none.fl_str_mv 2013-06-01
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=S1806-66902013000200013
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902013000200013
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S1806-66902013000200013
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 Universidade Federal do Ceará
publisher.none.fl_str_mv Universidade Federal do Ceará
dc.source.none.fl_str_mv Revista Ciência Agronômica v.44 n.2 2013
reponame:Revista ciência agronômica (Online)
instname:Universidade Federal do Ceará (UFC)
instacron:UFC
instname_str Universidade Federal do Ceará (UFC)
instacron_str UFC
institution UFC
reponame_str Revista ciência agronômica (Online)
collection Revista ciência agronômica (Online)
repository.name.fl_str_mv Revista ciência agronômica (Online) - Universidade Federal do Ceará (UFC)
repository.mail.fl_str_mv ||alekdutra@ufc.br|| ccarev@ufc.br
_version_ 1750297486664138752

Registros relacionados