Genetic Diversity of White Cabbage (Brassica oleracea var. capitata subvar. alba) Inbreed Lines Using SRAP Markers

Year 2024, Volume: 7 Issue: 5, 429 - 436, 15.09.2024

Ercan Ekbiç , Cemregül Tırınk

https://doi.org/10.47115/bsagriculture.1509098

Abstract

Genetic diversity assessment is crucial for effective breeding programs and the conservation of plant genetic resources. This study aimed to characterize the genetic diversity of 24 cabbage (Brassica oleracea var. capitata subvar. alba) inbred lines using Sequence-Related Amplified Polymorphism (SRAP) markers. A total of 45 SRAP primer combinations were employed, resulting in the amplification of 258 bands, of which 194 (75.2%) were polymorphic. The polymorphism information content (PIC) values ranged from 0.03 to 0.42, with a mean value of 0.20, indicating relatively low genetic diversity among the studied inbred lines. The major allele frequency (MAF) values varied between 0.54 and 0.99, with an average of 0.83, further confirming the limited genetic diversity. The effective allele number (NE), gene diversity (H), and Shannon information index (I) averaged 1.40, 0.23, and 0.35, respectively. Principal component analysis (PCA) revealed that the first seven principal component axes accounted for 90.59% of the total variance among the cabbage lines, demonstrating that the genetic diversity could be largely explained along a few dimensions. STRUCTURE analysis identified three major genetic clusters, with Cluster 3 exhibiting the highest proportion of genetic composition (40.3%) and the highest level of genetic differentiation (mean Fst = 0.4080). The Unweighted Pair Group Method with Arithmetic Mean (UPGMA) clustering analysis, based on the Dice similarity method, produced a dendrogram depicting the genetic relationships among the inbred lines. The Mantel test value r for the UPGMA clustering was 0.78, indicating a good fit between the dendrogram and the original similarity matrix. The study highlights the utility of SRAP markers in assessing genetic diversity and relationships among cabbage inbred lines, providing valuable information for breeding programs and genetic resource management. The identification of genetically distinct clusters and the quantification of genetic variation within and among these clusters can guide future breeding efforts and facilitate the development of improved cabbage varieties with desirable traits.

Keywords

Brassica oleracea, Genetic diversity, Inbred lines, SRAP markers, STRUCTURE analysis, UPGMA clustering

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