Identification of QTLs of resistance to white mold in common bean from multiple markers by using Bayesian analysis

Detalhes bibliográficos
Autor(a) principal: Lara, L. A. C.
Data de Publicação: 2015
Outros Autores: Santos, J. B., Balestre, M., Lima, I. A., Pamplona, A. K. A., Veloso, J. S., Silva, P. H.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UFLA
Texto Completo: http://repositorio.ufla.br/jspui/handle/1/12246
Resumo: In this study, we identified simple sequence repeat, ampli­fied fragment length polymorphism, and sequence-related amplified poly­morphism markers linked to quantitative trait loci (QTLs) for resistance to white mold disease in common bean progenies derived from a cross between lines CNFC 9506 and RP-2, evaluated using the oxalic acid test and using Bayesian analysis. DNA was extracted from 186 F2 plants and their parental lines for molecular analysis. Fifteen experiments were car­ried out for phenotypic analysis, which included 186 F2:4 progenies, the F1 generation, the F2 generation, and the lines CNFC 9506, RP-2, and G122 as common treatments. A completely randomized experimental design with 3 replications was used in controlled environments. The adjusted means for the F2:4 generation were to identify QTLs by Bayesian shrink­age analysis. Significant differences were observed among the progenies for the reaction to white mold. The moving away method under the Bayes­ian approach was effective for identifying QTLs when it was not possible to obtain a genetic map because of low marker density. Using the Wald test, 25 markers identified QTLs for resistance to white mold, as well as 16 simple sequence repeats, 7 amplified fragment length polymorphisms, and 2 sequence-related amplified polymorphisms. The markers BM184, BM211, and PV-gaat001 showed low distances from QTLs related white mold resistance. In addition, these markers showed, signal effects with increasing resistance to white mold and high heritability in the analysis with oxalic acid, and thus, are promising for marker-assisted selection. In this study, we identified simple sequence repeat, ampli­fied fragment length polymorphism, and sequence-related amplified poly­morphism markers linked to quantitative trait loci (QTLs) for resistance to white mold disease in common bean progenies derived from a cross between lines CNFC 9506 and RP-2, evaluated using the oxalic acid test and using Bayesian analysis. DNA was extracted from 186 F2 plants and their parental lines for molecular analysis. Fifteen experiments were car­ried out for phenotypic analysis, which included 186 F2:4 progenies, the F1 generation, the F2 generation, and the lines CNFC 9506, RP-2, and G122 as common treatments. A completely randomized experimental design with 3 replications was used in controlled environments. The adjusted means for the F2:4 generation were to identify QTLs by Bayesian shrink­age analysis. Significant differences were observed among the progenies for the reaction to white mold. The moving away method under the Bayes­ian approach was effective for identifying QTLs when it was not possible to obtain a genetic map because of low marker density. Using the Wald test, 25 markers identified QTLs for resistance to white mold, as well as 16 simple sequence repeats, 7 amplified fragment length polymorphisms, and 2 sequence-related amplified polymorphisms. The markers BM184, BM211, and PV-gaat001 showed low distances from QTLs related white mold resistance. In addition, these markers showed, signal effects with increasing resistance to white mold and high heritability in the analysis with oxalic acid, and thus, are promising for marker-assisted selection.
id UFLA_89e13a3f14e89a6db0e6f7ce7915bc42
oai_identifier_str oai:localhost:1/12246
network_acronym_str UFLA
network_name_str Repositório Institucional da UFLA
repository_id_str
spelling Identification of QTLs of resistance to white mold in common bean from multiple markers by using Bayesian analysisBayesian shrinkage analysisCommon beanPlant breedingQuantitative trait lociSclerotinia sclerotiorumIn this study, we identified simple sequence repeat, ampli­fied fragment length polymorphism, and sequence-related amplified poly­morphism markers linked to quantitative trait loci (QTLs) for resistance to white mold disease in common bean progenies derived from a cross between lines CNFC 9506 and RP-2, evaluated using the oxalic acid test and using Bayesian analysis. DNA was extracted from 186 F2 plants and their parental lines for molecular analysis. Fifteen experiments were car­ried out for phenotypic analysis, which included 186 F2:4 progenies, the F1 generation, the F2 generation, and the lines CNFC 9506, RP-2, and G122 as common treatments. A completely randomized experimental design with 3 replications was used in controlled environments. The adjusted means for the F2:4 generation were to identify QTLs by Bayesian shrink­age analysis. Significant differences were observed among the progenies for the reaction to white mold. The moving away method under the Bayes­ian approach was effective for identifying QTLs when it was not possible to obtain a genetic map because of low marker density. Using the Wald test, 25 markers identified QTLs for resistance to white mold, as well as 16 simple sequence repeats, 7 amplified fragment length polymorphisms, and 2 sequence-related amplified polymorphisms. The markers BM184, BM211, and PV-gaat001 showed low distances from QTLs related white mold resistance. In addition, these markers showed, signal effects with increasing resistance to white mold and high heritability in the analysis with oxalic acid, and thus, are promising for marker-assisted selection. In this study, we identified simple sequence repeat, ampli­fied fragment length polymorphism, and sequence-related amplified poly­morphism markers linked to quantitative trait loci (QTLs) for resistance to white mold disease in common bean progenies derived from a cross between lines CNFC 9506 and RP-2, evaluated using the oxalic acid test and using Bayesian analysis. DNA was extracted from 186 F2 plants and their parental lines for molecular analysis. Fifteen experiments were car­ried out for phenotypic analysis, which included 186 F2:4 progenies, the F1 generation, the F2 generation, and the lines CNFC 9506, RP-2, and G122 as common treatments. A completely randomized experimental design with 3 replications was used in controlled environments. The adjusted means for the F2:4 generation were to identify QTLs by Bayesian shrink­age analysis. Significant differences were observed among the progenies for the reaction to white mold. The moving away method under the Bayes­ian approach was effective for identifying QTLs when it was not possible to obtain a genetic map because of low marker density. Using the Wald test, 25 markers identified QTLs for resistance to white mold, as well as 16 simple sequence repeats, 7 amplified fragment length polymorphisms, and 2 sequence-related amplified polymorphisms. The markers BM184, BM211, and PV-gaat001 showed low distances from QTLs related white mold resistance. In addition, these markers showed, signal effects with increasing resistance to white mold and high heritability in the analysis with oxalic acid, and thus, are promising for marker-assisted selection.Fundação de Pesquisas Científicas de Ribeirão Preto2017-02-06T16:26:55Z2017-02-06T16:26:55Z2015-02-06info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfLARA, L. A. C et al. Identification of QTLs of resistance to white mold in common bean from multiple markers by using Bayesian analysis. Genetics and Molecular Research, Ribeirão Preto, v. 14, n. 1, p. 1124-1135, Feb. 2015.http://repositorio.ufla.br/jspui/handle/1/12246Genetics and molecular researchreponame:Repositório Institucional da UFLAinstname:Universidade Federal de Lavras (UFLA)instacron:UFLALara, L. A. C.Santos, J. B.Balestre, M.Lima, I. A.Pamplona, A. K. A.Veloso, J. S.Silva, P. H.info:eu-repo/semantics/openAccesseng2023-05-26T19:37:32Zoai:localhost:1/12246Repositório InstitucionalPUBhttp://repositorio.ufla.br/oai/requestnivaldo@ufla.br || repositorio.biblioteca@ufla.bropendoar:2023-05-26T19:37:32Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA)false
dc.title.none.fl_str_mv Identification of QTLs of resistance to white mold in common bean from multiple markers by using Bayesian analysis
title Identification of QTLs of resistance to white mold in common bean from multiple markers by using Bayesian analysis
spellingShingle Identification of QTLs of resistance to white mold in common bean from multiple markers by using Bayesian analysis
Lara, L. A. C.
Bayesian shrinkage analysis
Common bean
Plant breeding
Quantitative trait loci
Sclerotinia sclerotiorum
title_short Identification of QTLs of resistance to white mold in common bean from multiple markers by using Bayesian analysis
title_full Identification of QTLs of resistance to white mold in common bean from multiple markers by using Bayesian analysis
title_fullStr Identification of QTLs of resistance to white mold in common bean from multiple markers by using Bayesian analysis
title_full_unstemmed Identification of QTLs of resistance to white mold in common bean from multiple markers by using Bayesian analysis
title_sort Identification of QTLs of resistance to white mold in common bean from multiple markers by using Bayesian analysis
author Lara, L. A. C.
author_facet Lara, L. A. C.
Santos, J. B.
Balestre, M.
Lima, I. A.
Pamplona, A. K. A.
Veloso, J. S.
Silva, P. H.
author_role author
author2 Santos, J. B.
Balestre, M.
Lima, I. A.
Pamplona, A. K. A.
Veloso, J. S.
Silva, P. H.
author2_role author
author
author
author
author
author
dc.contributor.author.fl_str_mv Lara, L. A. C.
Santos, J. B.
Balestre, M.
Lima, I. A.
Pamplona, A. K. A.
Veloso, J. S.
Silva, P. H.
dc.subject.por.fl_str_mv Bayesian shrinkage analysis
Common bean
Plant breeding
Quantitative trait loci
Sclerotinia sclerotiorum
topic Bayesian shrinkage analysis
Common bean
Plant breeding
Quantitative trait loci
Sclerotinia sclerotiorum
description In this study, we identified simple sequence repeat, ampli­fied fragment length polymorphism, and sequence-related amplified poly­morphism markers linked to quantitative trait loci (QTLs) for resistance to white mold disease in common bean progenies derived from a cross between lines CNFC 9506 and RP-2, evaluated using the oxalic acid test and using Bayesian analysis. DNA was extracted from 186 F2 plants and their parental lines for molecular analysis. Fifteen experiments were car­ried out for phenotypic analysis, which included 186 F2:4 progenies, the F1 generation, the F2 generation, and the lines CNFC 9506, RP-2, and G122 as common treatments. A completely randomized experimental design with 3 replications was used in controlled environments. The adjusted means for the F2:4 generation were to identify QTLs by Bayesian shrink­age analysis. Significant differences were observed among the progenies for the reaction to white mold. The moving away method under the Bayes­ian approach was effective for identifying QTLs when it was not possible to obtain a genetic map because of low marker density. Using the Wald test, 25 markers identified QTLs for resistance to white mold, as well as 16 simple sequence repeats, 7 amplified fragment length polymorphisms, and 2 sequence-related amplified polymorphisms. The markers BM184, BM211, and PV-gaat001 showed low distances from QTLs related white mold resistance. In addition, these markers showed, signal effects with increasing resistance to white mold and high heritability in the analysis with oxalic acid, and thus, are promising for marker-assisted selection. In this study, we identified simple sequence repeat, ampli­fied fragment length polymorphism, and sequence-related amplified poly­morphism markers linked to quantitative trait loci (QTLs) for resistance to white mold disease in common bean progenies derived from a cross between lines CNFC 9506 and RP-2, evaluated using the oxalic acid test and using Bayesian analysis. DNA was extracted from 186 F2 plants and their parental lines for molecular analysis. Fifteen experiments were car­ried out for phenotypic analysis, which included 186 F2:4 progenies, the F1 generation, the F2 generation, and the lines CNFC 9506, RP-2, and G122 as common treatments. A completely randomized experimental design with 3 replications was used in controlled environments. The adjusted means for the F2:4 generation were to identify QTLs by Bayesian shrink­age analysis. Significant differences were observed among the progenies for the reaction to white mold. The moving away method under the Bayes­ian approach was effective for identifying QTLs when it was not possible to obtain a genetic map because of low marker density. Using the Wald test, 25 markers identified QTLs for resistance to white mold, as well as 16 simple sequence repeats, 7 amplified fragment length polymorphisms, and 2 sequence-related amplified polymorphisms. The markers BM184, BM211, and PV-gaat001 showed low distances from QTLs related white mold resistance. In addition, these markers showed, signal effects with increasing resistance to white mold and high heritability in the analysis with oxalic acid, and thus, are promising for marker-assisted selection.
publishDate 2015
dc.date.none.fl_str_mv 2015-02-06
2017-02-06T16:26:55Z
2017-02-06T16:26:55Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv LARA, L. A. C et al. Identification of QTLs of resistance to white mold in common bean from multiple markers by using Bayesian analysis. Genetics and Molecular Research, Ribeirão Preto, v. 14, n. 1, p. 1124-1135, Feb. 2015.
http://repositorio.ufla.br/jspui/handle/1/12246
identifier_str_mv LARA, L. A. C et al. Identification of QTLs of resistance to white mold in common bean from multiple markers by using Bayesian analysis. Genetics and Molecular Research, Ribeirão Preto, v. 14, n. 1, p. 1124-1135, Feb. 2015.
url http://repositorio.ufla.br/jspui/handle/1/12246
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.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Fundação de Pesquisas Científicas de Ribeirão Preto
publisher.none.fl_str_mv Fundação de Pesquisas Científicas de Ribeirão Preto
dc.source.none.fl_str_mv Genetics and molecular research
reponame:Repositório Institucional da UFLA
instname:Universidade Federal de Lavras (UFLA)
instacron:UFLA
instname_str Universidade Federal de Lavras (UFLA)
instacron_str UFLA
institution UFLA
reponame_str Repositório Institucional da UFLA
collection Repositório Institucional da UFLA
repository.name.fl_str_mv Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA)
repository.mail.fl_str_mv nivaldo@ufla.br || repositorio.biblioteca@ufla.br
_version_ 1815439303743897600