“…As a result SSR has been widely used for fingerprinting and the identification of various cultivars, including pear (Erfani et al, 2012), apple (Zhang et al, 2012a), and perennial ryegrass (Wang et al, 2009). However, additional genetic information about fingerprinting by SSR for allogamous forage grass species, such as orchardgrass, is still needed.…”
Section: Identification Of Orchardgrass Cultivarsmentioning
confidence: 99%
“…SSR markers have been widely used in genetic diversity analyses (Wang et al, 2009;Bushman et al, 2011;Erfani et al, 2012;Zhang et al, 2012a). In the current study, a total of 29 SSR primer pairs were used to estimate the genetic diversity of a collection of orchardgrass cultivars.…”
ABSTRACT. The accurate identification of orchardgrass (Dactylis glomerata L.) cultivars is necessary to ensure purity for consumers, the effective utilization of cultivars, and to protect the intellectual property for breeders. Therefore, this study aimed to use SSR to construct DNA fingerprinting of orchardgrass cultivars. The genetic diversity of 32 orchardgrass cultivars originated from 21 countries, but grown in China, was assessed using a set of 29 SSR markers distributed across 9 linkage groups of the orchardgrass genome. A total of 229 bands were detected, with an average of 7.9 bands per marker. The average polymorphic rate for the species was 92.1%. The polymorphism information content ranged from 0.771 to 0.893. The genetic similarity ranged from 0.55 to 0.84, which confirmed a high level of genetic diversity among orchardgrass cultivars. The unweighted pair-group method, in combination with the arithmetic mean algorithm (UPGMA) dendrogram and principal coordinate analysis, showed a separation of 6 major clusters among 32 cultivars. The number of distinguishable cultivars ranged from 3 to 23, with an average of 12.1 per primer. Moreover, 11 bands that showed stable and repeatable SSR patterns were amplified by A01E14, A01K14, and D02K13. These bands were used to develop the DNA fingerprints for 32 orchardgrass cultivars. In the DNA fingerprints constructed, each cultivar had a unique fingerprinting pattern that was easily distinguished from the others. These results indicate that the SSR marker was polymorphic, and reliable for use in potential large-scale DNA fingerprinting of orchardgrass cultivars.
“…As a result SSR has been widely used for fingerprinting and the identification of various cultivars, including pear (Erfani et al, 2012), apple (Zhang et al, 2012a), and perennial ryegrass (Wang et al, 2009). However, additional genetic information about fingerprinting by SSR for allogamous forage grass species, such as orchardgrass, is still needed.…”
Section: Identification Of Orchardgrass Cultivarsmentioning
confidence: 99%
“…SSR markers have been widely used in genetic diversity analyses (Wang et al, 2009;Bushman et al, 2011;Erfani et al, 2012;Zhang et al, 2012a). In the current study, a total of 29 SSR primer pairs were used to estimate the genetic diversity of a collection of orchardgrass cultivars.…”
ABSTRACT. The accurate identification of orchardgrass (Dactylis glomerata L.) cultivars is necessary to ensure purity for consumers, the effective utilization of cultivars, and to protect the intellectual property for breeders. Therefore, this study aimed to use SSR to construct DNA fingerprinting of orchardgrass cultivars. The genetic diversity of 32 orchardgrass cultivars originated from 21 countries, but grown in China, was assessed using a set of 29 SSR markers distributed across 9 linkage groups of the orchardgrass genome. A total of 229 bands were detected, with an average of 7.9 bands per marker. The average polymorphic rate for the species was 92.1%. The polymorphism information content ranged from 0.771 to 0.893. The genetic similarity ranged from 0.55 to 0.84, which confirmed a high level of genetic diversity among orchardgrass cultivars. The unweighted pair-group method, in combination with the arithmetic mean algorithm (UPGMA) dendrogram and principal coordinate analysis, showed a separation of 6 major clusters among 32 cultivars. The number of distinguishable cultivars ranged from 3 to 23, with an average of 12.1 per primer. Moreover, 11 bands that showed stable and repeatable SSR patterns were amplified by A01E14, A01K14, and D02K13. These bands were used to develop the DNA fingerprints for 32 orchardgrass cultivars. In the DNA fingerprints constructed, each cultivar had a unique fingerprinting pattern that was easily distinguished from the others. These results indicate that the SSR marker was polymorphic, and reliable for use in potential large-scale DNA fingerprinting of orchardgrass cultivars.
“…These markers are based on PCRpolymerase chain reaction, there are many of them, they are codominant, highly reproducible (He et al, 2009) and also among the most preferred types of molecular markers for their ubiquitous distribution (Zhao et al, 2011). SSRs have been widely used in the analysis of genetic diversity (Zhang et al, 2012).…”
Genetic resources of red clover (Trifolium pratense L.) are the basis for the improvement of this important forage legume. The objective of this study was microsatellite characterization of the accessions from the collection of the Institute of Field and Vegetable Crops in Novi Sad, Serbia. Molecular evaluation of 46 red clover genotypes was performed by applying the set of 14 primer pairs of microsatellite markers. These primer pairs amplified a total of 187 alleles, with an average of 13.36 alleles per locus and average polymorphism information content (PIC) value was 0.306. The minimum values of Dice genetic distances based on polymorphism of microsatellite markers were found among genotypes NCPGRU2 and NCPGRU5 (0.311) and the highest values of genetic distances were determined for a couple of genotypes Violeta and BGR2 (0.933). The average genetic distance between all pairs of genotypes amounted 0.587. The results of the principal coordinate analysis (PCoA) were consistent with the results obtained on the basis of cluster analysis, except that the PCoA allocated another four genotypes. There was no relationship between groups of genotypes formed by the use of cluster analyses and PCoA with their geographical origin. Analysis of molecular variance of 46 red clover genotypes by the status and ploidy level was significant, but it also suggested a weak genetic differentiation of groups formed on the basis of those characteristics. Observed groups of genotypes, according to the cluster analyses and PCoA of microsatellite data, could be used in future breeding programs for the selection of germplasm.
“…Hoshino et al (2012) reported SSR markers to be highly polymorphic, co-dominant, easy to interpret and transferable between species. In addition, according to Zhang et al (2012) these markers are cost-effective and easily detectable through polymerase chain reaction (PCR) than the other marker techniques. SSR markers remain conserved among closely related species and therefore extensively used in selection of plants possessing desirable traits, genetic diversity analysis, assessment of phylogenetic relationships, linkage analysis, and cultivar identification (Morgante et al, 2002;Zhang et al, 2003).…”
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