Abstract
Ushbu tadqiqotda SNP (Single Nucleotide Polymorphism) markerlar yordamida g’o’zaning RIL populyatsiyasida genetik xilma-xillikni baholash maqsad qilingan. Tadqiqot davomida o‘simlik namunalaridan genomik DNKlar ajratib olinib, SNP markerlar yordamida genotiplash amalga oshirildi. Har bir marker bo‘yicha kutilgan geterozigotalik (He), polimorfizmning informativlik darajasi (PIC) va effektiv allellar soni (Ne) hisoblandi. Natijalar tahliliga ko’ra, SNP markerlar populyatsiyada o‘rtacha genetik xilma-xillik mavjudligini (He≈0,28) ko‘rsatdi. Ayrim markerlar yuqori PIC qiymatga ega bo‘lib, ular genetik tahlil uchun informativ hisoblandi. Shuningdek, PIC, He va Ne qiymatlari A- va D- subgenom xromosomalar kesimida tahlil qililganda, D-subgenom xromosomalarida joylashgan markerlarning informativligi va xilma-xillikni yoritishdagi potensiali A-gebgenomga qaraganda ancha yuqori ekanligi aniqlandi. Umuman olganda, tadqiqot natijalari SNP markerlarni o‘simliklarda genetik xilma-xillikni baholash va suv stressiga bog‘liq belgilarni o‘rganishda muhim vosita ekanligini ko‘rsatdi.References
1. Barrs, H.D., & Weatherley, P.E. (1962). A re-examination of the relative turgidity technique for estimating water deficits in leaves.Australian Journal of Biological Sciences, 15(3), 413-428.
2. Botstein, D., White, R.L., Skolnick, M., & Davis, R.W. (1980). Construction of a genetic linkage map in man using restriction fragment length polymorphisms. American Journal of Human Genetics, 32(3), 314.
3. Czyczyło-Mysza IM, Marcińska I, Skrzypek E, Bocianowski J, Dziurka K, Rančić D, Radošević R, Pekić-Quarrie S, Dodig D, Quarrie SA. Genetic analysis of water loss of excised leaves associated with drought tolerance in wheat. PeerJ. 2018 Jul 6;6:e5063. doi: 10.7717/peerj.5063.
4. Doyle, J.J., & Doyle, J.L. (1987). A rapid DNA isolation procedure for small quantities of fresh leaf tissue. Phytochemical Bulletin, 19, 11-15.
5. Fedorca A, Mergeay J, Akinyele AO, Albayrak T, Biebach I, et al., Dealing With the Complexity of Effective Population Size in Conservation Practice. Evol Appl. 2024 Dec 13;17(12):e70031. doi: 10.1111/eva.70031.
6. Hamrick, J.L.; Godt, M.W. Effects of life history traits on genetic diversity in plant species. Philosophical Transactions of the Royal Society of London. Ser. B Biol. Sci. 1996, 351, 1291–1298.
7. Hulse-Kemp, A.M., et al. (2015). Development of a 63K SNP Array for Cotton and Its Application in Genetic Mapping. G3: Genes, Genomes, Genetics, 5(6), 1187-1209.
8. Song, Y.; Jiang, X.; Zhang, M.; Wang, Z.; Bo, W.; An, X.; Zhang, D.; Zhang, Z. Differences of EST-SSR and genomic-SSR markers in assessing genetic diversity in poplar. For. Stud. China 2012, 14, 1–7.
9. Shani, M.Y., Ditta, A., Khan, M.K.R. et al. Deciphering drought tolerance in cotton genotypes through integrated morpho-physiological and biochemical markers at flowering stage. Sci Rep 15, 44123 (2025). https://doi.org/10.1038/s41598-025-28237-6