Expression profiling and sequence diversity of novel DREB genes from common bean (Phaseolus vulgaris L.) and their association with drought-related traits
Autor(a) principal: | |
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Data de Publicação: | 2016 |
Tipo de documento: | Tese |
Idioma: | eng |
Título da fonte: | Biblioteca Digital de Teses e Dissertações da USP |
Texto Completo: | http://www.teses.usp.br/teses/disponiveis/64/64133/tde-04072016-154008/ |
Resumo: | Common bean is a major dietary component in several countries, but its productivity is negatively affected by abiotic stresses. Dissecting candidate genes involved in abiotic stress tolerance is a paramount step toward the improvement of common bean performance under such constraints. Thereby, this thesis presents a systematic analysis of the DEHYDRATION RESPONSIVE ELEMENT-BINDING (DREB) gene subfamily, which encompasses genes that regulate several processes during stress responses, but with limited information for common bean. First, a series of in silico analyses with sequences retrieved from the P. vulgaris genome on Phytozome supported the categorization of 54 putative PvDREB genes distributed within six phylogenetic subgroups (A-1 to A-6), along the 11 chromosomes. Second, we cloned four novel PvDREB genes and determined their inducibility-factors, including the dehydration-, salinity- and cold-inducible genes PvDREB1F and PvDREB5A, and the dehydration- and cold-inducible genes PvDREB2A and PvDREB6B. Afterwards, nucleotide polymorphisms were searched through Sanger sequencing along those genes, revealing a high number of single nucleotide polymorphisms within PvDREB6B by the comparison of Mesoamerican and Andean genotypes. The nomenclature of PvDREB6B is discussed in details. Furthermore, we used the BARCBean6K_3 SNP platform to identify and genotype the closest SNP to each one of the 54 PvDREB genes. We selected PvDREB6B for a broader study encompassing a collection of wild common bean accessions of Mesoamerican origin. The population structure of the wild beans was accessed using sequence polymorphisms of PvDREB6B. The genetic clusters were partially associated with variation in latitude, altitude, precipitation and temperature throughout the areas such beans are distributed. With an emphasis on drought stress, an adapted tube-screening method in greenhouse conditions enabled the phenotyping of several drought-related traits in the wild collection. Interestingly, our data revealed a correlation between root depth, plant height and biomass and the environmental data of the location of the accessions. Correlation was also observed between the population structure determined through PvDREB6B and the environmental data. An association study combining data from the SNP array and DREB polymorphisms enabled the detection of SNP associated with drought-related traits through a compressed mixed linear model (CMLM) analysis. This thesis highlighted important features of DREB genes in common bean, revealing candidates for further strategies aimed at improvement of abiotic stress tolerance, with emphasis on drought tolerance |
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Expression profiling and sequence diversity of novel DREB genes from common bean (Phaseolus vulgaris L.) and their association with drought-related traitsExpressão gênica e diversidade nucleotídica de novos genes DREB em feijoeiro (Phaseolus vulgaris L.) e sua associação com parâmetros de déficit hídricoAssociation mappingDREB1DREB1DREB2DREB2Drought toleranceExpressão gênicaExpression profilingFenotipagemMapeamento associativoPhenotypingSNPSNPTolerância ao déficit hídricoCommon bean is a major dietary component in several countries, but its productivity is negatively affected by abiotic stresses. Dissecting candidate genes involved in abiotic stress tolerance is a paramount step toward the improvement of common bean performance under such constraints. Thereby, this thesis presents a systematic analysis of the DEHYDRATION RESPONSIVE ELEMENT-BINDING (DREB) gene subfamily, which encompasses genes that regulate several processes during stress responses, but with limited information for common bean. First, a series of in silico analyses with sequences retrieved from the P. vulgaris genome on Phytozome supported the categorization of 54 putative PvDREB genes distributed within six phylogenetic subgroups (A-1 to A-6), along the 11 chromosomes. Second, we cloned four novel PvDREB genes and determined their inducibility-factors, including the dehydration-, salinity- and cold-inducible genes PvDREB1F and PvDREB5A, and the dehydration- and cold-inducible genes PvDREB2A and PvDREB6B. Afterwards, nucleotide polymorphisms were searched through Sanger sequencing along those genes, revealing a high number of single nucleotide polymorphisms within PvDREB6B by the comparison of Mesoamerican and Andean genotypes. The nomenclature of PvDREB6B is discussed in details. Furthermore, we used the BARCBean6K_3 SNP platform to identify and genotype the closest SNP to each one of the 54 PvDREB genes. We selected PvDREB6B for a broader study encompassing a collection of wild common bean accessions of Mesoamerican origin. The population structure of the wild beans was accessed using sequence polymorphisms of PvDREB6B. The genetic clusters were partially associated with variation in latitude, altitude, precipitation and temperature throughout the areas such beans are distributed. With an emphasis on drought stress, an adapted tube-screening method in greenhouse conditions enabled the phenotyping of several drought-related traits in the wild collection. Interestingly, our data revealed a correlation between root depth, plant height and biomass and the environmental data of the location of the accessions. Correlation was also observed between the population structure determined through PvDREB6B and the environmental data. An association study combining data from the SNP array and DREB polymorphisms enabled the detection of SNP associated with drought-related traits through a compressed mixed linear model (CMLM) analysis. This thesis highlighted important features of DREB genes in common bean, revealing candidates for further strategies aimed at improvement of abiotic stress tolerance, with emphasis on drought toleranceO feijoeiro é um componente essencial na dieta em diversos países, no entanto, sua produção é afetada negativamente por estresses abióticos. O estudo de genes candidatos envolvidos na adaptação aos estresses é uma etapa fundamental para o melhoramento da performance do feijoeiro sob tais estresses. Desse modo, esta tese apresenta uma análise sistemática da subfamília de genes DEHYDRATION RESPONSIVE ELEMENT-BINDING (DREB), que reúne genes envolvidos em diversos processos em resposta a estresses, mas pouco estudados no feijoeiro. Primeiramente, uma série de análises in silico com sequências de feijoeiro obtidas da plataforma Phytozome possibilitaram a categorização de 54 genes PvDREB putativos, distribuídos em seis subgrupos (A-1 até A-6) nos 11 cromossomos da espécie. Posteriormente, quatro novos genes PvDREB foram clonados e seus padrões de inducibilidade foram determinados. PvDREB1F e PvDREB5A foram induzidos por desidratação, baixa temperatura e salinidade, enquanto PvDREB2A e PvDREB6B foram predominantemente induzidos por desidratação e baixa temperatura. Polimorfismos de nucleotídeos foram buscados através de sequenciamento por método derivado de Sanger, revelando elevado número de SNP no gene PvDREB6B. A nomenclatura desse gene foi discutida detalhadamente ao longo da tese. A plataforma de marcadores SNP BARCBean6K_3 foi acessada para identificar o SNP mais próximo de cada um dos 54 PvDREB. O gene PvDREB6B foi selecionado para um estudo mais amplo, envolvendo uma coleção de acessos selvagens de origem Mesoamericana. A estrutura populacional destes genótipos foi analisada a partir de polimorfismos na sequência de PvDREB6B. Os grupos genéticos apresentaram associação parcial com variação da latitude, altitude, precipitação e temperatura das áreas em que os acessos naturalmente ocorrem. Com ênfase no estudo do déficit hídrico, uma plataforma de fenotipagem destes acessos em casa de vegetação, utilizando um sistema de tubos plásticos, foi elaborada para a análise de diversos parâmetros relacionados ao estresse por déficit hídrico. Os dados revelaram correlação entre profundidade de raízes, altura das plantas e a biomassa e as variáveis ambientais de cada local. A correlação também foi detectada entre a estrutura populacional estudada por PvDREB6B e os dados ambientais. Finalmente, um estudo de associação genética foi realizado entre os SNP da plataforma e ligados a DREB e os parâmetros fenotípicos, permitindo a identificação de marcadores SNP associados a caracteres específicos, usando um modelo linear misto (CMLM). Esta tese apresentou importantes aspectos sobre os genes DREB em feijoeiro, revelando candidatos para seu uso em estratégias de melhoramento para tolerância a estresses abióticos, com ênfase em déficit hídricoBiblioteca Digitais de Teses e Dissertações da USPGepts, Paul LaurentMui, Tsai SiuKonzen, Enéas Ricardo2016-01-26info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/doctoralThesisapplication/pdfhttp://www.teses.usp.br/teses/disponiveis/64/64133/tde-04072016-154008/reponame:Biblioteca Digital de Teses e Dissertações da USPinstname:Universidade de São Paulo (USP)instacron:USPLiberar o conteúdo para acesso público.info:eu-repo/semantics/openAccesseng2017-09-04T21:03:47Zoai:teses.usp.br:tde-04072016-154008Biblioteca Digital de Teses e Dissertaçõeshttp://www.teses.usp.br/PUBhttp://www.teses.usp.br/cgi-bin/mtd2br.plvirginia@if.usp.br|| atendimento@aguia.usp.br||virginia@if.usp.bropendoar:27212017-09-04T21:03:47Biblioteca Digital de Teses e Dissertações da USP - Universidade de São Paulo (USP)false |
dc.title.none.fl_str_mv |
Expression profiling and sequence diversity of novel DREB genes from common bean (Phaseolus vulgaris L.) and their association with drought-related traits Expressão gênica e diversidade nucleotídica de novos genes DREB em feijoeiro (Phaseolus vulgaris L.) e sua associação com parâmetros de déficit hídrico |
title |
Expression profiling and sequence diversity of novel DREB genes from common bean (Phaseolus vulgaris L.) and their association with drought-related traits |
spellingShingle |
Expression profiling and sequence diversity of novel DREB genes from common bean (Phaseolus vulgaris L.) and their association with drought-related traits Konzen, Enéas Ricardo Association mapping DREB1 DREB1 DREB2 DREB2 Drought tolerance Expressão gênica Expression profiling Fenotipagem Mapeamento associativo Phenotyping SNP SNP Tolerância ao déficit hídrico |
title_short |
Expression profiling and sequence diversity of novel DREB genes from common bean (Phaseolus vulgaris L.) and their association with drought-related traits |
title_full |
Expression profiling and sequence diversity of novel DREB genes from common bean (Phaseolus vulgaris L.) and their association with drought-related traits |
title_fullStr |
Expression profiling and sequence diversity of novel DREB genes from common bean (Phaseolus vulgaris L.) and their association with drought-related traits |
title_full_unstemmed |
Expression profiling and sequence diversity of novel DREB genes from common bean (Phaseolus vulgaris L.) and their association with drought-related traits |
title_sort |
Expression profiling and sequence diversity of novel DREB genes from common bean (Phaseolus vulgaris L.) and their association with drought-related traits |
author |
Konzen, Enéas Ricardo |
author_facet |
Konzen, Enéas Ricardo |
author_role |
author |
dc.contributor.none.fl_str_mv |
Gepts, Paul Laurent Mui, Tsai Siu |
dc.contributor.author.fl_str_mv |
Konzen, Enéas Ricardo |
dc.subject.por.fl_str_mv |
Association mapping DREB1 DREB1 DREB2 DREB2 Drought tolerance Expressão gênica Expression profiling Fenotipagem Mapeamento associativo Phenotyping SNP SNP Tolerância ao déficit hídrico |
topic |
Association mapping DREB1 DREB1 DREB2 DREB2 Drought tolerance Expressão gênica Expression profiling Fenotipagem Mapeamento associativo Phenotyping SNP SNP Tolerância ao déficit hídrico |
description |
Common bean is a major dietary component in several countries, but its productivity is negatively affected by abiotic stresses. Dissecting candidate genes involved in abiotic stress tolerance is a paramount step toward the improvement of common bean performance under such constraints. Thereby, this thesis presents a systematic analysis of the DEHYDRATION RESPONSIVE ELEMENT-BINDING (DREB) gene subfamily, which encompasses genes that regulate several processes during stress responses, but with limited information for common bean. First, a series of in silico analyses with sequences retrieved from the P. vulgaris genome on Phytozome supported the categorization of 54 putative PvDREB genes distributed within six phylogenetic subgroups (A-1 to A-6), along the 11 chromosomes. Second, we cloned four novel PvDREB genes and determined their inducibility-factors, including the dehydration-, salinity- and cold-inducible genes PvDREB1F and PvDREB5A, and the dehydration- and cold-inducible genes PvDREB2A and PvDREB6B. Afterwards, nucleotide polymorphisms were searched through Sanger sequencing along those genes, revealing a high number of single nucleotide polymorphisms within PvDREB6B by the comparison of Mesoamerican and Andean genotypes. The nomenclature of PvDREB6B is discussed in details. Furthermore, we used the BARCBean6K_3 SNP platform to identify and genotype the closest SNP to each one of the 54 PvDREB genes. We selected PvDREB6B for a broader study encompassing a collection of wild common bean accessions of Mesoamerican origin. The population structure of the wild beans was accessed using sequence polymorphisms of PvDREB6B. The genetic clusters were partially associated with variation in latitude, altitude, precipitation and temperature throughout the areas such beans are distributed. With an emphasis on drought stress, an adapted tube-screening method in greenhouse conditions enabled the phenotyping of several drought-related traits in the wild collection. Interestingly, our data revealed a correlation between root depth, plant height and biomass and the environmental data of the location of the accessions. Correlation was also observed between the population structure determined through PvDREB6B and the environmental data. An association study combining data from the SNP array and DREB polymorphisms enabled the detection of SNP associated with drought-related traits through a compressed mixed linear model (CMLM) analysis. This thesis highlighted important features of DREB genes in common bean, revealing candidates for further strategies aimed at improvement of abiotic stress tolerance, with emphasis on drought tolerance |
publishDate |
2016 |
dc.date.none.fl_str_mv |
2016-01-26 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/doctoralThesis |
format |
doctoralThesis |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://www.teses.usp.br/teses/disponiveis/64/64133/tde-04072016-154008/ |
url |
http://www.teses.usp.br/teses/disponiveis/64/64133/tde-04072016-154008/ |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
|
dc.rights.driver.fl_str_mv |
Liberar o conteúdo para acesso público. info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Liberar o conteúdo para acesso público. |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.coverage.none.fl_str_mv |
|
dc.publisher.none.fl_str_mv |
Biblioteca Digitais de Teses e Dissertações da USP |
publisher.none.fl_str_mv |
Biblioteca Digitais de Teses e Dissertações da USP |
dc.source.none.fl_str_mv |
reponame:Biblioteca Digital de Teses e Dissertações da USP instname:Universidade de São Paulo (USP) instacron:USP |
instname_str |
Universidade de São Paulo (USP) |
instacron_str |
USP |
institution |
USP |
reponame_str |
Biblioteca Digital de Teses e Dissertações da USP |
collection |
Biblioteca Digital de Teses e Dissertações da USP |
repository.name.fl_str_mv |
Biblioteca Digital de Teses e Dissertações da USP - Universidade de São Paulo (USP) |
repository.mail.fl_str_mv |
virginia@if.usp.br|| atendimento@aguia.usp.br||virginia@if.usp.br |
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1815256663879319552 |