ArticleVeterinary world2025
Microsatellite-based genetic diversity assessment of Donggala cattle
Article in Veterinary world, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Background and Aim: Donggala cattle ( Materials and Methods: Seventy-five blood samples were collected from unrelated Donggala cattle in Central Sulawesi. Genomic DNA was extracted and amplified across ten Food and Agriculture Organization-recommended microsatellite loci. Allele frequency, observed heterozygosity (Ho), expected heterozygosity, and polymorphism information content (PIC) were calculated. Genetic distances and clustering were assessed using Unweighted Pair Group Method with Arithmetic Mean (UPGMA) and analysis of molecular variance (AMOVA). Two- and three-dimensional principal component analysis (PCA) was conducted to visualize genetic differentiation, with comparative datasets from other Indonesian cattle breeds. Results: High allelic diversity was detected, with SPS113 (12 alleles), ETH225 (11 alleles), and TGLA122 (9 alleles) being the most informative markers (PIC: 0.80-0.84). Ho was highest at ETH225 (0.95), reflecting substantial genetic variation. UPGMA and admixture analyses placed Donggala cattle closest to Pesisir cattle, though phenotypically more similar to larger Conclusion: Donggala cattle exhibit considerable genetic diversity, underscoring their value as a reservoir for breeding and conservation programs. Microsatellite markers, particularly SPS113, ETH225, and TGLA122, proved highly informative for genetic assessment. The application of 3D PCA enhanced resolution in distinguishing closely related breeds, supporting its use in molecular characterization. These findings provide essential baseline data for sustainable management, conservation, and genetic improvement of Donggala cattle.
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