Research Article - Journal of RNA and Genomics (2025) Volume 21, Issue 1
Association mapping of economic traits based on QTL clusters/hotspots linked SSR markers in Upland cotton
Cotton productivity has decreased over last decade owing to various agronomic factors including
narrow genetic base of cultivated Upland cotton. The yield of cotton in China has been decreased from
26000 tonns to 5.34 million tonns. A 4.6 percentage decrease according to natural bureau of statistics
alternatively, natural diversity conserved in the germplasm could be dissected by Linkage
Disequilibrium (LD) based association mapping. Therefore cotton breeders have focused on detecting
QTLs that could enhance cotton yield by improving the genetics of yield and fiber quality.
Alternatively, the natural diversity conserved in the germplasm collection could be dissected by
linkage disequilibrium based association mapping. To date, numerous QTL clusters/hotspots have
been detected based on meta-analyses. In this study, QTL clusters/hotspots-linked Simple Sequence
Repeat (SSR) markers were employed to validate QTL effects in 503 upland cotton accessions using
association mapping, so that these markers could be efficiently employed in marker-assisted breeding
programs. Among 298 clusters/hotspots-linked SSRs, 81 polymorphic ones were utilized to explore
genetic variation and Linkage Disequilibrium (LD) decay in the diverse set of 503 cultivars.
Association mapping using Generalized Linear Model (GLM) Q approach detected 56 significant loci
associated with 14 economic traits. These markers were relegated to forty-eight QTL clusters which
were widely distributed on 17 chromosomes. Amongst them, 6 QTL hotspots and 22 meta-QTL were
associated to different traits. The significantly associated markers identified through association
mapping will facilitate substantial gains in marker-assisted breeding and further research on QTL fine
mapping and candidate gene prediction. Author(s): Muhammad Atif Wahid, Muhammad Mahmood Ahmed, Huang Cong, Waqas Malik, Zhongxu
Lin
Abstract
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