Keragaman Genetik 50 Aksesi Plasma Nutfah Kedelai Berdasarkan Sepuluh Penanda Mikrosatelit
<p>Genetic Diversity of 50 Soybean Accessions Based on Ten<br />Microsatellite Markers. Chaerani, Nurul Hidayatun, and<br />Dwinita W. Utami. Soybean accessions in germplasm<br />collection have increased in number as a result of<br />exploration, introduction as well as development or release<br />of new commercial varieties. This complicates accurate and<br />reliable evaluation of an accession for purposes of utilization<br />in breeding program and discrimination of a new<br />commercial variety for purposes of plant variety protection.<br />The aims of this study were to identify the genetic diversity<br />of soybean germplasm to complement the existing<br />phenotypic database as the basis for efficient management<br />and accurate discrimination of commercial varieties, and to<br />identify potential parents for hybridizations. Fifty soybean<br />accessions consisting of 12 released varieties, 32 local<br />varieties, and 6 introductions were analyzed using<br />microsatellite DNA markers based on semi-automatic sizing<br />system. A total of 86 alleles were detected with the number<br />of alleles per locus ranged from 4 to 16. Rare alleles were<br />detected at a rate of 53% which was shown by 68% of the<br />genotypes. Informativeness of the microsatellite markers as<br />measured by the average gene diversity (D) or<br />polymorphism information content (PIC) was 0.60 and 0.58,<br />respectively. A heterozygosity level of 0.09 as detected by<br />seven loci was observed among 64% of the genotypes. The<br />average genetic distance among the genotypes was 0.56,<br />which indicated the relatively low polymorphism among the<br />analyzed soybean germplasm. Four microsatellites that<br />showed a high D or PIC value (over 0.75) were able to<br />discriminate between accession reliably. Each soybean<br />accession had different DNA microsatellite fingerprint which<br />can be used for accurate discrimination to complement the<br />previous conventional characterizations. UPGMA clustering<br />separated the 50 accessions into 10 major clusters, which<br />showed no clear pattern of clustering according to varietal<br />group or geographical origin. Genetic similarity data<br />identified five clusters and 15 genotypes with highest intercluster<br />or inter-genotype genetic distances which are<br />potential candidates to be exploited as parents in<br />hybridizations for development of new commercial varieties.</p>