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Mapping QTLs for drought tolerance in a SEA 5 x AND 277 common bean cross with SSRs and SNP markers Genet. Mol. Biol.
Briñez,Boris; Perseguini,Juliana Morini Küpper Cardoso; Rosa,Juliana Santa; Bassi,Denis; Gonçalves,João Guilherme Ribeiro; Almeida,Caléo; Paulino,Jean Fausto de Carvalho; Blair,Matthew Ward; Chioratto,Alisson Fernando; Carbonell,Sérgio Augusto Morais; Valdisser,Paula Arielle Mendes Ribeiro; Vianello,Rosana Pereira; Benchimol-Reis,Luciana Lasry.
Abstract The common bean is characterized by high sensitivity to drought and low productivity. Breeding for drought resistance in this species involves genes of different genetic groups. In this work, we used a SEA 5 x AND 277 cross to map quantitative trait loci associated with drought tolerance in order to assess the factors that determine the magnitude of drought response in common beans. A total of 438 polymorphic markers were used to genotype the F8 mapping population. Phenotyping was done in two greenhouses, one used to simulate drought and the other to simulate irrigated conditions. Fourteen traits associated with drought tolerance were measured to identify the quantitative trait loci (QTLs). The map was constructed with 331 markers that covered all...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Abiotic stress; Interpopulation gene-pool; Molecular markers; QTL mapping; Water deficit.
Ano: 2017 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572017000500813
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Genome-wide analysis of the transcriptional response to drought stress in root and leaf of common bean Genet. Mol. Biol.
Pereira,Wendell Jacinto; Melo,Arthur Tavares de Oliveira; Coelho,Alexandre Siqueira Guedes; Rodrigues,Fabiana Aparecida; Mamidi,Sujan; Alencar,Sérgio Amorim de; Lanna,Anna Cristina; Valdisser,Paula Arielle Mendes Ribeiro; Brondani,Claudio; Nascimento-Júnior,Ivanildo Ramalho do; Borba,Tereza Cristina de Oliveira; Vianello,Rosana Pereira.
Abstract Genes related to the response to drought stress in leaf and root tissue of drought-susceptible (DS) and tolerant (DT) genotypes were characterized by RNA-Seq. In total, 54,750 transcripts, representative of 28,590 genes, were identified; of these, 1,648 were of high-fidelity (merge of 12 libraries) and described for the first time in the Andean germplasm. From the 1,239 differentially expressed genes (DEGs), 458 were identified in DT, with a predominance of genes in categories of oxidative stress, response to stimulus and kinase activity. Most genes related to oxidation-reduction terms in roots were early triggered in DT (T75) compared to DS (T150) suggestive of a mechanism of tolerance by reducing the damage from ROS. Among the KEGG enriched by...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Phaseolus vulgaris; Water deficit; Functional genomics; Single nucleotide polymorphism (SNP).
Ano: 2020 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572020000100309
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Genome prediction accuracy of common bean via Bayesian models Ciência Rural
Barili,Leiri Daiane; Vale,Naine Martins do; Silva,Fabyano Fonseca e; Carneiro,José Eustáquio de Souza; Oliveira,Hinayah Rojas de; Vianello,Rosana Pereira; Valdisser,Paula Arielle Mendes Ribeiro; Nascimento,Moyses.
ABSTRACT: We aimed to apply genomic information based on SNP (single nucleotide polymorphism) markers for the genetic evaluation of the traits “stay-green” (SG), plant architecture (PA), grain aspect (GA) and grain yield (GY) in common bean through Bayesian models. These models were compared in terms of prediction accuracy and ability for heritability estimation for each one of the mentioned traits. A total of 80 cultivars were genotyped for 377 SNP markers, whose effects were estimated by five different Bayesian models: Bayes A (BA), B (BB), C (BC), LASSO (BL) e Ridge regression (BRR). Although, prediction accuracies calculated by means of cross-validation have been similar within each trait, the BB model stood out for the trait SG, whereas the BRR was...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Phaseolus vulgaris; SNP markers; Cross-validation.
Ano: 2018 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782018000800204
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