Triticeae Genomics and Genetics, 2024, Vol.15, No.3, 121-124 http://cropscipublisher.com/index.php/tgg 123 Moreover, the integration of this genetic information helps us better understand and utilize wheat's genetic resources, especially in the face of climate change and environmental pressures. Protecting and exploiting this diversity is crucial for ensuring food security. Figure 2 Three-dimensional PCA plot of LR subgroups and MV group Figure 3 originates from the EigenGWAS analysis of Turkish local and modern wheat varieties, highlighting SNPs that exhibit selection signals. The x-axis represents chromosome numbers, while the y-axis represents the adjusted P-values, also known as PGC values. The Manhattan plot is a commonly used chart in genetics to visually display the results of genome-wide association studies (GWAS). Each point on the plot represents the statistical significance of an association between a specific SNP and a trait. In this plot, different colors of the points represent different chromosomes, and the vertical position of a point indicates its -log10 P-value; the higher the position, the greater the statistical significance of the association with the trait. A blue horizontal line across the chart represents the significance threshold, with SNPs above this threshold considered to exhibit selection signals. It is evident that points on certain chromosomes, particularly on chromosomes like 3B, 5A, and 5B, are notably high, suggesting that SNPs in these regions might have undergone strong selection during the evolution of wheat varieties, related to important agronomic traits. Thus, this provides direct evidence of genetic selection within Turkish wheat varieties, revealing key genetic regions that affect important wheat traits. This information is crucial for guiding the genetic improvement and enhancement of crop performance in wheat. Figure 3 Manhattan plot from EigenGWAS showing distribution of SNPs with selection signals in turkish landraces and modern varieties
RkJQdWJsaXNoZXIy MjQ4ODYzNQ==