Identification of Molecular Diversity in Gossypium hirsutum L. Against Whitefly Resistance Using SSR Markers

Syed Bilal Hussain

Institute of Molecular Biology and Biotechnology, Bahauddin Zakariya University, Multan, Pakistan.

Muhammad Tayyab *

Institute of Molecular Biology and Biotechnology, Bahauddin Zakariya University, Multan, Pakistan.

Muhammad Adnan Shah Bukhari

Institute of Molecular Biology and Biotechnology, Bahauddin Zakariya University, Multan, Pakistan.

Muhammad Zubair

Department of Forestry and Range Management, FAS and T, Bahauddin Zakariya University, Multan, Pakistan.

*Author to whom correspondence should be addressed.


Whitefly is a major factor in reducing cotton yield worldwide more specifically in Asian Countries So to deal with this whitefly there is a need to separate genetically diverse varieties that can combat it due to its unique genetic source. In this study, genetic diversity analysis of cotton cultivars was done against whitefly resistance using simple sequence repeat (SSR) markers. For this, 75 cultivars of cotton were used to analyze genetic diversity by using 25 SSR markers out of which 9 markers were polymorphic. These markers amplified a total of 46 alleles with an average of 5.11 alleles per marker. These varieties showed a high value of gene diversity that ranged from 0.624 to 0.877 with a mean value of 0.735. Polymorphism information content (PIC) for selected genotypes ranged from 0.562 to 0.867 with a mean value of 0.704. Based on these 9 polymorphic markers 75 selected genotypes were divided into 3 major groups in a phylogenetic tree. The elected cultivars of cotton were highly polymorphic and could be used for further breeding to improve cotton accessions.

Keywords: Whitefly, CLCuD, gene diversity, CCRI, SSR, PIC

How to Cite

Hussain , Syed Bilal, Muhammad Tayyab, Muhammad Adnan Shah Bukhari, and Muhammad Zubair. 2023. “Identification of Molecular Diversity in Gossypium Hirsutum L. Against Whitefly Resistance Using SSR Markers”. Asian Journal of Biotechnology and Genetic Engineering 6 (2):164-70.


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