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Identification of candidate genes and transcripts through in silico analysis of DNA markers

Feruza U. RafiyevaInstitute of Genetics and Plant Experimental Biology, Yukori-Yuz, Qibray District, Tashkent Region, 111208, UzbekistanBarno OripovaTashkent State University of EconomicsAbduqahhor ToshpulatovTashkent State University of EconomicsSevara ArslanovaInstitute of Genetics and Plant Experimental Biology, Yukori-Yuz, Qibray District, Tashkent Region, 111208, UzbekistanMadina KholovaInstitute of Genetics and Plant Experimental Biology, Yukori-Yuz, Qibray District, Tashkent Region, 111208, UzbekistanDilrabo K. ErnazarovaNational University of Uzbekistan, Universitet Street, Tashkent, 100174, UzbekistanFakhriddin KushanovInstitute of Genetics and Plant Experimental Biology, Yukori-Yuz, Qibray District, Tashkent Region, 111208, Uzbekistan

2026

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Litsenziya: cc-by

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Annotatsiya

This article presents the results of determining candidate genes using in silico PCR using certain microsatellite DNA markers genetically linked to the genome of G. hirsutum L. and economically valuable traits. In this study, a virtual analysis of the region (100 kbp) around polymorphic microsatellite markers was performed using the NCBI database, UniPro Ugene, AUGUSTUS, and BLAST software. As a result, 29 valuable candidate genes and proteins were identified during the blast analysis of 10 SSR DNA markers related to fiber quality and salt resistance. The functions of the identified candidate genes and proteins were highlighted based on the interpretation of research results by foreign scientists. These results serve as an important basis for increasing the efficiency of marker-based selection (MAS) in cotton breeding and creating stress-resistant varieties.

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DOI: 10.66432/xe71vp03

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