Evaluation of Genetic Diversity among CLCuD-Resistant Upland Cotton Varieties Using SSR Markers
Syed Bilal Hussain, Muhammad Adnan Shah Bukhari, Muhammad Tayyab, Muhammad Zubair
Asian Journal of Biotechnology and Genetic Engineering · pp. 155–163 · Published 19 Sep 2023
Abstract
Cotton leaf curl disease (CLCuD) is a dangerous viral disease that affects the productivity of cotton crops. Since early detection, this disease has spread worldwide and has caused serious damage to the production of cotton around the world particularly in Pakistan. In this study, we evaluated the genetic diversity of CLCuD-resistant upland cotton germplasm by using microsatellite markers. For this purpose, 25 pairs of microsatellite primers were screened and 9 were found to be polymorphic. These 9 primers were used for assessing the genetic diversity of 75 upland cotton varieties. Using these markers, a total of 46 loci were amplified with an average of 5.11 loci per primer. BNL0409 and BNL2835 produced the highest number of bands, 8 bands by each primer. Mean gene diversity was 0.651 with 0.91 (BNL2835) being the highest and 0.38 (JESPR0013) being the lowest. Polymorphism information content (PIC) and major allele frequency ranged between 0.91 to 0.36 (for BNL2835 and BNL0341) and 0.77 to 0.32 (for JESPR0013 and BNL0409) respectively. Mean PIC and major allele frequency were 0.62 and 0.49 respectively. BNL2835 showed the highest allele number of 23 and the mean allele number was 11. Principal component analysis (PCA) was performed and the PCA graph was plotted. These results showed that the 75 varieties studied, using 9 microsatellite markers have an average level of genetic diversity. The findings of this study could be utilized for genetic analysis and the outcomes might be useful for cotton breeding programs.
Cited by 0
No indexed citations yet.
Related research
- Molecular and Serological Studies for Detection and Identification of Cotton Leaf Curl Virus in Cotton Plant (G. barbadense L.) in Egypt — shares topic coverage
- Approximate Prediction of Chemical Changes in Peanut Oil during Intermittent Deep Frying Process Using UV-Visible Spectroscopy — shares topic coverage
- Principal Component Analysis in Biometric, Pulp Quality and Anatomical Properties of Thronless Bamboo (Bambusa balcooa) — shares topic coverage
- Weather Based Pest Forewarning Model for Major Insect Pests of Rice – An Effective Way for Insect Pest Prediction — shares topic coverage
- Genetic Variability and Association Analysis of Lisianthus (Eustoma grandiflorum (Raf) Shinn) Advanced Lines Under Mid Hill Conditions of Himachal Pradesh, India — shares topic coverage
Article metrics
Real usage data collected on this platform.
0
Page views
0
PDF downloads
0
Outbound clicks
0
Citations
Views by country
Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".
No views recorded yet.
Traffic sources
Referring site, by host.
No traffic recorded yet.
Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.