Screening of Microsatellite Markers for Genetic Diversity Assessment and Conservation of Germplasm in Okra (Abelmoschus esculentus L. Moench)

AbstractThe Kangal Shepherd Dog is considered the most common dog breed of Turkish origin. This study investigated variations in ten autosomal microsatellite markers (PEZ01, PEZ03, PEZ05, PEZ06, PEZ08, PEZ12, PEZ20, FHC2010, FHC2054 and FHC2079) for the purposes of genetic diversity assessment of the Kangal breed. In addition, the use of markers was assessed in parentage testing and individual identification within the Kangal breed. The microsatellite markers were typed in 51 Kangal dogs. The total number of alleles in the study population was 69. The mean number of alleles per locus was 6.9, and varied from four (FHC2079) to 12 (PEZ12). The polymorphic information content (PIC) ranged from 0.52 (FHC2079) to 0.87 (PEZ12), with the mean value for all loci of 0.717. Power of exclusion (PE) in 10 microsatellites investigated varied between 0.143 (FHC2054) and 0.472 (PEZ08) per locus. In order to determine the efficiency of using microsatellites for individual identification in the Kangal breed, power of discrimination (PD) and matching probability (MP) were calculated for each microsatellite marker. The panel achieved high combined MP (6.77 × 10-10) and high combined PD value of 99.99999%. The obtained results may contribute to further recognition of the Kangal breed, and confirm that the investigated microsatellites enable a reliable parentage testing and individual identification of the breed.

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Genetic Diversity Assessment in Pea (Pisum sativum L.) using Microsatellite Markers

International Journal of Bio-resource and Stress Management ◽

10.23910/1.2021.2374a ◽

2021 ◽

Vol 12 (5) ◽

pp. 402-408

Author(s):

Hanuman Ram ◽

Keyword(s):

Genetic Diversity ◽

Microsatellite Markers ◽

Ssr Markers ◽

Molecular Diversity ◽

Polymorphic Information Content ◽

Association Studies ◽

Pisum Sativum L ◽

Diversity Assessment ◽

Potential Use ◽

Simple Sequence

The present study was conducted on genetic diversity analyses among 24 pea genotypes during 2017–2018 to assess the molecular diversity of pea genotypes using SSR markers. Out of 62, eleven markers were found to be polymorphic and the polymorphic information content (PIC) of the simple sequence repeat (SSR) markers ranged from 0.19 to as high as 0.64. Molecular profiling of these genotypes using 11 SSRs distributed throughout the genome generated 32 alleles with a mean of 2.91 alleles per locus. The genetic dissimilarity based on simple matching coefficient for 24 genotypes ranged from 0.00 to 0.91 with an average of 0.52. Cluster analyses grouped 24 genotypes into two major clusters with one outlier and supported by principal coordinate analysis (PCoA) in which genotypes were distributed across four quadrangles. Analysis of molecular variance (AMOVA) showed significant estimated value at degree of 1000 permutations. Percentage of variability was higher among individual (67%) than among populations (11%). Percentage of variability within individual was also higher (22%) than among populations (11%). Pop1 (I=0.707, He=0.446, and uHe=0.466) shows higher diversity than pop2 (I=0.630, He=0.381 and uHe=0.398). The percentage of polymorphic loci per population (PPL) ranged from 81.82% (pop2) to 90.91% (pop1) with an average of 86.36%. The present study demonstrates the utility of microsatellite markers for estimating molecular diversity as well as genotype identification in pea. This study also suggests a potential use of these markers in further association studies.

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