COTTON SNP 63K ARRAY FOR THE IDENTIFICATION AND VALIDATION OF MARKERS FOR JASSID RESISTANCE: GENETIC MAPPING: Genetic Mapping

Sridhar Venkatesulu; Satish Kumar Puligundla; Srikanth Koigoora

doi:10.55251/jmbfs.11140

Authors

Sridhar Venkatesulu 1Biotechnology Division, Nuziveedu Seeds Ltd., Gundlapochampally 501401, Ranga Reddy District, Telangana, India. 2Department of Biotechnology, Vignan’s Foundation for Science Technology & Research, (Deemed to be University), Vadlamudi 522213, Guntur District, Andhra Pradesh, India. https://orcid.org/0009-0007-9968-7322
Satish Kumar Puligundla Biotechnology Division, Nuziveedu Seeds Ltd., Gundlapochampally 501401, Ranga Reddy District, Telangana, India.
Srikanth Koigoora Vignan Foundation For Science Technology and Research

DOI:

https://doi.org/10.55251/jmbfs.11140

Keywords:

Jassid, Cotton, QTL, SNP, Phenotypes, Markers

Abstract

Cotton crops are highly vulnerable to the pest Jassid (Amrasca biguttula) during their early growth stages. Developing resistant cotton varieties requires understanding disease-resistant genes and integrating them into elite cultivars. However, the cotton genome’s limited diversity and complexity have made this challenging. Recent advancements have identified numerous single nucleotide polymorphisms (SNPs), enabling the use of high-throughput genotyping tools like the Cotton SNP 63K array for more consistent analysis. In our study, we used the SNP array to examine genetic variations between resistant and susceptible cotton cultivars, aiming to link SNP markers with Jassid resistance traits. We initiated crossbreeding with wild cotton lines (7076 and 7082) to create resistant cotton lines (BR-B). After a backcross, resistance traits were successfully transferred into the elite line (BS-1). Using the SNP array, we analysed 2462 polymorphic markers between resistant and susceptible lines. The contribution of each donor parent was assessed, revealing that alleles from 7076 and 7082 contributed 2.68% of the total alleles. After evaluating gene activity, we selected 148 SNP markers for further analysis, which were confirmed as authentic through Sanger sequencing. Using single-marker analysis, we identified a Quantitative Trait Locus (QTL) linked to pest resistance, which could accelerate the selection of other beneficial traits in cotton breeding.