MAPEAMENTO DE QTLs PARA TOLERÂNCIA À MURCHA BACTERIANA (Ralstonia solanacearum Smith) EM TABACO
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Universidade Estadual de Ponta Grossa
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The objectives of this work were to obtain a high-density genetic map using SNP (Single Nucleotide Polymorphism) markers obtained through Genotyping-by-Sequencing (GBS) and to identify the genomic regions linked to bacterial wilt tolerance (Ralstonia solanacearum Smith) in a tobacco double-haploid (DH) population. The inbred lines NC95 (tolerant) and NC2326 (susceptible) were crossed generating the F1 population, anthers were collected from these plants for haploid production and subsequent chromosomic duplication using anthers culture, generating 180 double-haploid families that were evaluated in a controlled environment for tolerance to bacterial wilt after inoculation with R. solanacearum, using an assessment scale from 0 to 4. The DH families were genotyped using the GBS methodology and the resulting data from this genotyping were aligned with the reference genome and then to obtain the SNP markers used to construct the genetic linkage map. The linkage map jointly with the phenotyping data were used to QTL mapping through the composite interval mapping method. A total of 6,842 SNPs was identified and used to construct a linkage map with 70,583 cM, being the largest SNP-based genetic linkage map available for tobacco and presenting the highest number of markers. Using this linkage map, 13 QTLs were mapped for bacterial wilt tolerance in eight linkage groups, from those eight QTLs had not yet been identified in the specialized literature. The loci present in linkage groups 3, 17 and 22 had the highest effects on phenotypic variation. The high number of QTLs mapped in this population confirms the quantitative genetic control of tobacco tolerance to bacterial wilt caused by R. solanacearum.
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SOUZA, Adenilson Mroginski de. Mapeamento de QTLs para tolerância à murcha bacteriana (Ralstonia solanacearum Smith) em tabaco.2018, 42f. Dissertação (Mestrado em Agronomia) - Universidade Estadual de Ponta Grossa, Ponta Grossa, 2018.
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