Wheat Genetic Resources Evaluation by Electrophoretic Separation of Gliadins

Stoyanova, S.

doi:10.1080/13102818.2002.10819147

Cited by 1 publication

(1 citation statement)

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“…Intensive work with gliadins has been carried out in Ukraine and Russia (Metakovsky et al, 1984(Metakovsky et al, , 1986Metakovsky & Sozinov, 1987;Metakovsky & Novoselskaya, 1991;Novoselskaya-Dragovich et al, 2003). Genetic polymorphism has been used to evaluate genetic diversity in wheat samples in Austria, Yugoslavia, Canada, Italy, France, Spain (Metakovsky et al, , 1993(Metakovsky et al, , 1994(Metakovsky et al, , 1997(Metakovsky et al, a, 1997(Metakovsky et al, b, 2000Metakovsky & Branlard, 1998;Ruiz et al , 2002Ruiz et al , a, 2002Branlard et al, 2001), Japan (Tanaka et al, 2003), China (Wu et al, 2007), India (Sewa et al, 2005), Pakistan (Anjum et al, 2000), Bulgaria (Stoyanova, 2002), Africa (Mohd et al, 2007). Based on the gliadin spectra, catalogs have been drawn up in some countries to identify varieties (Sapirstein & Bushuk, 1986;Lookhart et al, 1983;Metakovsky et al, , 1994Metakovsky et al, , 2018Velkov, 1991;Stoyanova & Kolev, 1996;Ruiz et al, 2002Ruiz et al, a, 2002.…”

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confidence: 99%

Assessment genetic diversity of einkorn genotypes (Triticum monococcum L.) by gliadin electrophoresis

Desheva¹,

Kyosev²,

Deshev³

2020

Acta Agric. Slov.

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<p>The genetic diversity of gliadins in twenty two einkorn accessions preserved under long-term seed storage condition in the National gene bank of Bulgaria were evaluated, using acid polyacrylamide-gel electrophoresis (Acid-PAGE). In total, 64 polymorphic bands and 22 gliadin patterns were identified. Thirty four different mobility bands and 21 gliadin patterns were identified in the ω-gliadin zone, 12 bands and 16 patterns were noted in the γ-gliadins, 17 patterns and 12 mobility bands were found for β-gliadins and six bands with five different α -gliadin patterns were determined. The genetic diversity index (H) was the highest for ω-gliadins (0.950), followed by β-gliadins (0.924) and γ- (0.914), respectively and the lowest value was detected in α-gliadin patterns (0.120). Cluster analysis based on the UPGMA method and Nei and Li similarity coefficients classified all the genotypes into 3 main groups. No relationships between genetic diversity, geographic origin and the genotypes were observed. The results of cluster analysis justify the high level of genetic variation among investigated einkorn accessions.</p>

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