Microsatellites in the analysis of wheat genetic diversity

Abstract

Microsatellite markers (SSR) were used to study wheat genetic diversity. A set of 87 wheat genotypes was analysed with four SSR markers. Primers used for the amplification of adequate microsatellite loci (Xgwm) are according to R?DER et al. (2002). Results were obtained using Applied Biosystems 3130 genetic analyser. Total of 28 alleles were determined, i.e. average of 7 alleles per marker. Number of alleles for individual markers ranged from six (Xgwm3) to eight (Xgwm18). The presence of two null alleles for Xgwm18 and Xgwm155 was found. There were five rare alleles (frequency <2%). Polymorphism information content (PIC) values ranged from 0.52 for Xgwm408 to 0.80 for Xgwm18. Mean PIC value was 0.69 for all markers, which signifies a high level of the detected polymorphism. According to the data collected through the analysis of four markers, most genotypes can be grouped in clusters. The results show usefulness of microsatellite markers in detecting polymorphism, identifying genotypes and assessing genetic diversity. [Projekat Ministarstva nauke Republike Srbije, br. TR31066]

Assessment of molecular and phenotypic diversity among winter wheat cultivars

“…On the other hand, studies by ROY et al (2004) reported that AFLP markers showed very high effectiveness in relation to morphological and SSR markers, and that utilisation of different types of marker combination can give different genetic diversity assessments. The study by KONDIĆ-ŠPIKA et al (2014) showed that by using a smaller number of highly-polymorphic microsatellites (four primer pairs), genetic variability was determined very effectively, grouping the cultivars according to similarity.…”

“…In addition, they can lead to redundancies in phenotype based germplasm collections. Molecular markers represent effective complementing tools to morphologic descriptors as they are plentiful, independent of tissue or environment and allow cultivar identification in the early stages of development (POWELL et al, 1996;GUPTA et al, 1999;LANDJEVA et al, 2006;KONDIĆ-ŠPIKA et al, 2014). In many studies combinations of several diversity criteria are used for more accurate estimations (SOLEMANI et al, 2002;MARIĆ et al, 2004;KOTZAMANIDIS et al, 2011).…”