Molecular characterization of edible pea through EST-SSR markers

Nisar, Mohammad; Khan, Asaf; Wadood, Syed Fazal; Shah, Aftab Ali; Hancı, Fatih

doi:10.3906/bot-1608-17

Cited by 15 publications

(20 citation statements)

References 36 publications

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“…All the accessions were classified into two linkage groups in accordance with the morphological data. This result was similar to the results of previous studies where 35 pea accessions had been classified into two major clusters and seven sub-clusters (Nisar et al, 2017), and 28 pea lines into three groups (Gixhari et al, 2014).…”

Section: Morphological Characterizationsupporting

confidence: 91%

“…For data analysis, the amplified bands generated by SSR-PCR amplification were scored based on the presence (1) or absence (0) of bands for each primer (Nisar et al, 2017). Cluster analysis was performed on the molecular data using the un-weighted pair group method based on arithmetic means (UPGMA) algorithm.…”

Section: Molecular Characterizationmentioning

confidence: 99%

“…The abundance of allelic variation is of significance with regard to both evolutionary and breeding aspects (van de Wouw et al, 2010). Nisar et al (2017) reported that the newly developed Pakistani pea lines showed an average of 4.69 alleles per SSR locus. Similarly, an average number of 4.5 alleles per locus was reported in European pea accessions (Cupic et al, 2009).…”

Section: Molecular Characterizationmentioning

confidence: 99%

“…Ahmad et al (2012) had obtained much lower PIC values, ranging from 0.055 to 0.660, when assessing pea accessions with 15 SSR loci. Nisar et al (2017) calculated the maximum PIC value of 0.630 in 23 pea accessions, while Kumari et al (2013) obtained the maximum PIC value of 0.657 in 28 accessions. In this study, the high polymorphism rate (average PIC, 0.751; maximum PIC, 0.861) stemmed from the efficiency of the selected SSR primers.…”

Section: Molecular Characterizationmentioning

confidence: 99%

“…For high polymorphisms, co-dominance, and locus specificity widely distributed throughout the genome, simple sequence repeat (SSR) markers have increasingly become the favourite marker set for genetic work (Cuevas and Prom, 2013;Izzah et al, 2013). As with many other species, these markers have previously been preferred to define genetic variation of pea accessions (Tar'an et al, 2005;Nasiri et al, 2009;Nisar et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

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Genetic variability in peas (Pisum sativum L.) from Turkey asssessed with molecular and morphological markers

Hancı

2019

Folia Horticulturae

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The aim of this study was to identify the molecular and morphological characteristics of Turkish pea accessions (Pisum sativum L.). The genetic diversity among 130 Turkish landraces and 2 commercial varieties in a total of 132 pea accessions was assessed with 14 simple sequence repeat (SSR) markers. Forty-eight (48) polymorphic alleles were identified using 14 SSR markers. The pairwise Dice coefficients of similarity between accessions ranged from 0.091 to 0.960. The polymorphism information content (PIC) value ranged from 0.585 to 0.861. Overall, 50 morphological traits were evaluated. Cluster analysis was carried out on a matrix of Euclidean distances. The accessions were divided into three main groups. Principal component analysis (PCA) was used to identify the weight of each morphological characteristic. According to the results, the highest eigenvalue was observed in PC-I (13.88) followed by PC-II (11.42), and PC-III (7.32). The first fifteen PCs with eigenvalues > 1 explained 74.08% of the variability. The results showed that the molecular markers were useful and polymorphic, sufficient to allocate all the evaluated accessions. This research has provided significant insights into the genetic variability of Turkish pea accessions.

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Section: Morphological Characterizationsupporting

confidence: 91%

Section: Molecular Characterizationmentioning

confidence: 99%