SSR markers to detect gene flow from upland to mocó cotton

Detalhes bibliográficos
Autor(a) principal: Dantas,Ana Carolina Assis
Data de Publicação: 2012
Outros Autores: Barroso,Paulo Augusto Vianna, Hoffmann,Lúcia Vieira, Alves,Milena Ferreira, Andrade,Francisco Pereira de
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=S1806-66902012000100020
Resumo: Mocó cotton was the most important crop in Northeastern Brazil. Local varieties had been developed before governmental breeding programs, which should be identified and preserved as a genetic resource. The aim of this work was to select SSR markers which can be used to monitor gene flow from herbaceous to mocó cotton plants, using non transgenic upland cotton as a pollen source. Unique mocó cotton feral populations were identified in the state of Rio Grande do Norte, and mother plants and their seeds were collected. Allele frequencies were studied among fifteen plants from these populations using 64 SSR primer pairs. Ten SSR markers, with alleles exclusive to mocó or upland genotypes, were selected to monitor gene flow by paternity analysis (BNL3627; 2960; 2572; 3261; 3398; 3948; 3502; 3646 and CIR 094; 097). The collected seeds had none of the upland cotton alleles. The absence of exclusive alleles from upland cotton in the offspring showed that gene flow to mocó cotton was absent or lower than the analysis could detect. Among the mother plants, the number of homozygous individuals at four polymorphic loci was greater than expected, showing that reproduction occurs preferentially by self-fertilization or crossing among related individuals. Paternity analysis is an accurate measure of gene flow, and the methodology can be used for monitor these populations or others. Preservation of the plants is spoiled mainly by drought.
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spelling SSR markers to detect gene flow from upland to mocó cottonBiosafetyMolecular markersGenetic resourcesMocó cotton was the most important crop in Northeastern Brazil. Local varieties had been developed before governmental breeding programs, which should be identified and preserved as a genetic resource. The aim of this work was to select SSR markers which can be used to monitor gene flow from herbaceous to mocó cotton plants, using non transgenic upland cotton as a pollen source. Unique mocó cotton feral populations were identified in the state of Rio Grande do Norte, and mother plants and their seeds were collected. Allele frequencies were studied among fifteen plants from these populations using 64 SSR primer pairs. Ten SSR markers, with alleles exclusive to mocó or upland genotypes, were selected to monitor gene flow by paternity analysis (BNL3627; 2960; 2572; 3261; 3398; 3948; 3502; 3646 and CIR 094; 097). The collected seeds had none of the upland cotton alleles. The absence of exclusive alleles from upland cotton in the offspring showed that gene flow to mocó cotton was absent or lower than the analysis could detect. Among the mother plants, the number of homozygous individuals at four polymorphic loci was greater than expected, showing that reproduction occurs preferentially by self-fertilization or crossing among related individuals. Paternity analysis is an accurate measure of gene flow, and the methodology can be used for monitor these populations or others. Preservation of the plants is spoiled mainly by drought.Universidade Federal do Ceará2012-03-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902012000100020Revista Ciência Agronômica v.43 n.1 2012reponame:Revista ciência agronômica (Online)instname:Universidade Federal do Ceará (UFC)instacron:UFC10.1590/S1806-66902012000100020info:eu-repo/semantics/openAccessDantas,Ana Carolina AssisBarroso,Paulo Augusto ViannaHoffmann,Lúcia VieiraAlves,Milena FerreiraAndrade,Francisco Pereira deeng2011-10-20T00:00:00Zoai:scielo:S1806-66902012000100020Revistahttp://www.ccarevista.ufc.br/PUBhttps://old.scielo.br/oai/scielo-oai.php||alekdutra@ufc.br|| ccarev@ufc.br1806-66900045-6888opendoar:2011-10-20T00:00Revista ciência agronômica (Online) - Universidade Federal do Ceará (UFC)false
dc.title.none.fl_str_mv SSR markers to detect gene flow from upland to mocó cotton
title SSR markers to detect gene flow from upland to mocó cotton
spellingShingle SSR markers to detect gene flow from upland to mocó cotton
Dantas,Ana Carolina Assis
Biosafety
Molecular markers
Genetic resources
title_short SSR markers to detect gene flow from upland to mocó cotton
title_full SSR markers to detect gene flow from upland to mocó cotton
title_fullStr SSR markers to detect gene flow from upland to mocó cotton
title_full_unstemmed SSR markers to detect gene flow from upland to mocó cotton
title_sort SSR markers to detect gene flow from upland to mocó cotton
author Dantas,Ana Carolina Assis
author_facet Dantas,Ana Carolina Assis
Barroso,Paulo Augusto Vianna
Hoffmann,Lúcia Vieira
Alves,Milena Ferreira
Andrade,Francisco Pereira de
author_role author
author2 Barroso,Paulo Augusto Vianna
Hoffmann,Lúcia Vieira
Alves,Milena Ferreira
Andrade,Francisco Pereira de
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Dantas,Ana Carolina Assis
Barroso,Paulo Augusto Vianna
Hoffmann,Lúcia Vieira
Alves,Milena Ferreira
Andrade,Francisco Pereira de
dc.subject.por.fl_str_mv Biosafety
Molecular markers
Genetic resources
topic Biosafety
Molecular markers
Genetic resources
description Mocó cotton was the most important crop in Northeastern Brazil. Local varieties had been developed before governmental breeding programs, which should be identified and preserved as a genetic resource. The aim of this work was to select SSR markers which can be used to monitor gene flow from herbaceous to mocó cotton plants, using non transgenic upland cotton as a pollen source. Unique mocó cotton feral populations were identified in the state of Rio Grande do Norte, and mother plants and their seeds were collected. Allele frequencies were studied among fifteen plants from these populations using 64 SSR primer pairs. Ten SSR markers, with alleles exclusive to mocó or upland genotypes, were selected to monitor gene flow by paternity analysis (BNL3627; 2960; 2572; 3261; 3398; 3948; 3502; 3646 and CIR 094; 097). The collected seeds had none of the upland cotton alleles. The absence of exclusive alleles from upland cotton in the offspring showed that gene flow to mocó cotton was absent or lower than the analysis could detect. Among the mother plants, the number of homozygous individuals at four polymorphic loci was greater than expected, showing that reproduction occurs preferentially by self-fertilization or crossing among related individuals. Paternity analysis is an accurate measure of gene flow, and the methodology can be used for monitor these populations or others. Preservation of the plants is spoiled mainly by drought.
publishDate 2012
dc.date.none.fl_str_mv 2012-03-01
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=S1806-66902012000100020
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902012000100020
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S1806-66902012000100020
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.43 n.1 2012
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
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