Molecular Biology and Genetics / Moleküler Biyoloji ve Genetik
Permanent URI for this collectionhttps://hdl.handle.net/11147/9
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Article Citation - Scopus: 2Qtl 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, SamiBroomrape 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: 3Citation - Scopus: 3Molecular 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, SamiCotton 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.Article Citation - WoS: 15Citation - Scopus: 19Genome-Wide Association Mapping of Yield Components and Drought Tolerance-Related Traits in Cotton(Springer Verlag, 2018) Akköse Baytar, Asena; Peynircioğlu, Ceng; Sezener, Volkan; Başal, Hüseyin; Frary, Anne; Frary, Amy; Doğanlar, SamiDrought causes serious yield losses in cotton production throughout the world. Association mapping allows identification and localization of the genes controlling drought-related traits which will be helpful in cotton breeding. In the present study, genetic diversity analysis and association mapping of yield and drought traits were performed on a panel of 99 upland cotton genotypes using 177 SSR (simple sequence repeat) markers. Yield parameters and drought tolerance-related traits were evaluated for two seasons under two watering regimes: water-stressed and well-watered. The traits included seed cotton yield (SCY), lint yield (LY), lint percentage (LP), water-use efficiency (WUE), yield potential (YP), yield reduction (YR), yield index (YI), drought sensitivity index (DSI), stress tolerance index (STI), harmonic mean (HM), and geometric mean productivity (GMP). The genotypes with the least change in seed cotton yield under drought stress were Zeta 2, Delcerro, Nazilli 87, and DAK 66/3 which were also the most water-use efficient cultivars. The average genetic diversity of the panel was 0.38. The linkage disequilibrium decayed relatively rapidly at 20–30 cM (r 2 ≥ 0.5). We identified 30 different SSR markers associated with the traits. Fifteen and 23 SSR markers were linked to the traits under well-watered and water-stress conditions, respectively. To our knowledge, most of these quantitative yield and drought tolerance-associated loci were newly identified. The genetic diversity and association mapping results should facilitate the development of drought-tolerant cotton lines with high yield in molecular breeding programs.Article Citation - WoS: 15Citation - Scopus: 18Molecular Diversity and Identification of Alleles for Verticillium Wilt Resistance in Elite Cotton (gossypium Hirsutum L.) Germplasm(Springer Verlag, 2017) Akköse Baytar, Asena; Erdoğan, Oktay; Frary, Anne; Frary, Amy; Doğanlar, SamiCotton is an important crop in the textile, food and pharmaceutical industries. In the present study, a panel of 108 elite cotton (Gossypium hirsutum L.) lines was genotyped with 177 genome-wide SSR markers to assess genetic diversity, linkage disequilibrium, population structure and association analyses. A total of 967 loci were assayed and the lines fell into four main groups with a mean genetic distance of 39%. The linkage disequilibrium (LD) decay rate was estimated to be 20–30 cm (r2 ≤ 0.5). Association analyses were performed with both general linear model and mixed linear model methods to identify SSR marker loci linked to Verticillium wilt resistance. Verticillium wilt is a fungal disease that causes huge yield losses in cotton production throughout the world. A total of 26 marker loci distributed on 14 chromosomes were associated with resistance at p ≤ 0.05. Eight of the 26 associated marker loci were highly significant (p < 0.01). The phenotypic variation explained (r2) by individual markers ranged from 3.2% to 8.2%. Three of the 26 marker loci (JESPR153, JESPR274 and CIR218) were consistent with previous studies. Our results should be useful in improving Verticillium wilt resistance in cotton breeding lines.