Molecular Biology and Genetics / Moleküler Biyoloji ve Genetik

Permanent URI for this collectionhttps://hdl.handle.net/11147/9

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Subject: search.filters.subject.Quantitative trait loci (QTL)

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  • Article
    Citation - Scopus: 2
    Qtl Mapping of Broomrape (orobanche Cumana Wallr.) Resistance in Sunflower (helianthus Annuus L.) Using Gbs-Snps
    (Society of Field Crops Science, 2021) Akköse Baytar, Asena; Çelik, İbrahim; Doğanlar, Cafer; Frary, Anne; Doğanlar, Sami
    Broomrape is one of the most important biotic stresses causing serious yield reductions in sunflower. Control of this parasitic plant is difficult and physical and chemical strategies are usually insufficient. Therefore, introduction of genetic resistance to broomrape in sunflower is a key breeding goal. Breeding efforts on broomrape resistance have been conducted for decades, however, new broomrape races, such as race F, have emerged and rapidly evolved to be more aggressive and devastating. Although a few quantitative trait loci (QTLs) were identified for race F resistance, none of these loci are suitable for marker assisted selection because of their small phenotypic effects. In the present study, three major QTLs for broomrape race F resistance were identified on LG7, LG11 and LG12 using a high density SNP map constructed with the genotyping by sequencing approach in an intraspecific F2 population. The population consisted of 300 individuals derived from a cross between susceptible Helianthus annuus cv. RHA 436 as the recipient parent and resistant H. annuus cv. H08 M1 as the donor parent. Breeder-friendly SNP-based cleaved amplified polymorphic sequence markers were developed for the QTLs. The QTLs and CAPS markers identified in this study will be valuable molecular genetic tools for sunflower breeding.
  • Article
    Citation - WoS: 3
    Citation - Scopus: 3
    Molecular Mapping of Qtls for Fiber Quality Traits in Gossypium Hirsutum Multi-Parent Recombinant Inbred Lines
    (Springer, 2021) Akköse Baytar, Asena; Peynircioğlu, Ceng; Sezener, Volkan; Frary, Anne; Doğanlar, Sami
    Cotton is a valuable fiber crop which supplies raw material to more than 50 industries and is produced in more than 70 countries worldwide. The superiority of cotton fiber over other crops is primarily dependent on its quality. However, further improvements in fiber length and strength are required for modern processing technology and for cotton to maintain its position in the global market. Association mapping enables identification of QTLs controlling fiber quality-related traits which can be useful in cotton breeding. In the present study, we performed genetic diversity, linkage disequilibrium and association mapping analyses in 157 G. hirsutum multi-parent recombinant inbred lines using a total of 102 SSR markers. The population had depressed genetic variability (14%), a result of inbreeding of modern cotton genotypes. Despite this, we identified 11 significant and stable marker-trait associations for seed cotton yield, lint percentage, fiber length and fiber strength (p < 0.005). We also detected QTL co-localizations with positive and negative marker additive effects. Our results indicate that selection against negative alleles may be as important as selection for positive alleles. Analysis of the effects of allelic combinations at different QTLs revealed significant and stable marker clusters that can be selected for or against to provide maximum quality gains in cotton fiber quality.