Genetic diversity of common wheat varieties at the gliadin-coding loci

Novoselskaya-Dragovich, A. Yu.; Bespalova, L. A.; Шишкіна, А. А.; Мельник, В. А.; Upelniek, V. P.; Фисенко, А. В.; Dedova, L. V.; Kudryavtsev, A. M.

doi:10.1134/s1022795415030102

Cited by 13 publications

(12 citation statements)

References 4 publications

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“…However, it is interesting that the Gli-D1 b allele originates from a very different genepool of winter wheat, rather than spring wheat. This statement is based on published data showing a quite high distribution of the allele b among winter wheat, but not in spring wheat, in the former Soviet Union (Kozub et al, 2009; Novoselskaya-Dragovich et al, 2015). Therefore, we can speculate that the possible introgression of the Gli-D1 b allele from winter wheat can indicate for the wide adaptability of wheat genotypes, regardless of their responses to cold and vernalisation.…”

Section: Discussionmentioning

confidence: 99%

“…The first allele b was very typical for wheat cultivars from very diverse geographical regions and had similarities to wheats from the UK, Eastern Europe and the Krasnodar region in the southern part of Russia (Metakovsky et al, 2018). Winter wheat germplasm accessions also had about 22% of the allele Gli-A2 b (Novoselskaya-Dragovich et al, 2015), and this allele is particularly spread among wheat cultivars with high tolerance to cold temperatures (Markarova, 2015). This leads us to the conclusion that the Gli-A2 b allele may be associated with genotypes with high adaptability to unfavourable conditions for plant growth.…”

Section: Discussionmentioning

confidence: 99%

“…The allele Gli-A2 f was present in wheat cultivars originating from the Saratov region, Russia (Novoselskaya-Dragovich, Fisenko & Puhalskii, 2013) and in some winter wheat cultivars (Novoselskaya-Dragovich et al, 2015) but is known to show the highest frequencies in spring wheat from Mexico and Portugal (Metakovsky et al, 2018).…”

Section: Discussionmentioning

confidence: 99%

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Genetic diversity of gliadin-coding alleles in bread wheat (Triticum aestivum L.) from Northern Kazakhstan

Utebayev

Dashkevich

Bome

et al. 2019

PeerJ

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Background Spring bread wheat (Triticum aestivum L.) represents the main cereal crop in Northern Kazakhstan. The quality of wheat grain and flour strongly depends on the structure of gluten, comprised of gliadin and glutenin proteins. Electrophoresis spectra of gliadins are not altered by environmental conditions or plant growth, are easily reproducible and very useful for wheat germplasm identification in addition to DNA markers. Genetic polymorphism of two Gli loci encoding gliadins can be used for selection of preferable genotypes of wheat with high grain quality. Methods Polyacrylamide gel electrophoresis was used to analyse genetic diversity of gliadins in a germplasm collection of spring bread wheat from Northern Kazakhstan. Results The highest frequencies of gliadin alleles were found as follows, in Gli1: -A1f (39.3%), -B1e (71.9%), and -D1a (41.0%); and in Gli-2: -A2q (17.8%), -B2t (13.5%), and -D2q (20.4%). The combination of these alleles in a single genotype may be associated with higher quality of grain as well as better adaptation to the dry environment of Northern Kazakhstan; preferable for wheat breeding in locations with similar conditions.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

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Genetic diversity of gliadin-coding alleles in bread wheat (Triticum aestivum L.) from Northern Kazakhstan

Utebayev

Dashkevich

Bome

et al. 2019

PeerJ

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“…Methods based on advances in genetics and physiologies, including the method of electrophoresis of spare alcoholsoluble proteins of seed-prolamins [1,2,3] are increasingly used. The advantages of this method include comparative simplicity, low cost and speed of analysis.…”

Section: Introductionmentioning

confidence: 99%

Laboratory varietal control as a guarantee of successful work of agribusiness in Russia

Lyubimova

Eremin

2018

MATEC Web Conf.

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A new direction of agribusiness has been formed in the modern agricultural industry. This is expressed in the appearance of highly specialized enterprises working in the field of production of high-quality seeds of agricultural crops. The use of electrophoresis method in varietal identification is a new technology in domestic agribusiness. The purpose of the research was to study the electrophoresis role of prolamins in varietal identification of crops for high-quality seed material. The laboratory of varietal identification of seeds analyzed 47 varieties of oats Russian selection. On the basis of data on the component composition of avenin, varieties with a high level of intersort genetic differences were identified: Megion, Fobos, Local (K-8427), Uspekh, Otrada, Pushkinskij. Groups of samples with identical component composition of prolamins were found. Their genetic formulas of avenin have the following form: Avn A2B4C2, Avn A4B4C2, Avn A2B4C1 or Avn A2B1C3. It is established that the method of electrophoresis of oat prolamins allows effectively distinguish varieties belonging to the same variety and indistinguishable by morphological features. Implementation of a system of regular laboratory control of purity and compliance of original and reproductive oats seeds by electrophoresis of prolamins is necessary to improve the competitiveness of Russian grain production in the world market.

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“…Intraspecies genetic diversity is important for increase of crop yields, improvement of seed quality and increasing the resistance of plants against both biotic and abiotic environmental factors [1,2,3]. A large number of markers is employed for the diversity assessment, generally, they are divided into three classes: morphological, biochemical and molecular.…”

Section: Introductionmentioning

confidence: 99%

Component composition of oat prolamins in A. strigosa Schreb., A. abyssinica Hochst., A. byzantina C. Koch. and A. sativa L.

Lyubimova¹,

Eremin²

2018

International Scientific and Practical Conference "AgroSMART - Smart Solutions for Agriculture" (AgroSMART 2018)

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Modern selection and seed development widely use biotechnology methods for creation of new intense cultivars and subsequent monitoring of biotypical composition. Among those methods is using storage proteins (prolamins) for analysis of genetic diversity. Prolamins and avenins are used for assessment of genetic diversity of oat, however, a lack of a common approach to interpretation and registering of avenin spectra impedes application of available data on component composition of these proteins when assessing the oat-related source material. The aim of the research was to analyze the component composition of avenin in oat cultivars of various ploidity for subsequent use in marker selection when assessing the oat source material. As a result of the research, 173 protein components were identified, 65.8 % of them are species-specific. It has been established, that cultivated oat species positively differ from each other by the mean number of protein components in the spectra of the samples. The highest average number of the avenin protein components has been found in the common oat spectra, at 8.5±0.05. The lowest average number of the avenin protein components has been found for the lopsided oat and the Ethiopian oat at-4.2±0.32 and 4.6±0.47 respectively. The maximum number of various avenin components has been discovered in the common oat spectra, 160 units, while for the Ethiopian oat there were only 7 units identified. This is an evidence of a high level of genetic diversity in the studied collection of A. sativa and a high probability to identify a large number of selection-valuable genotypes when conducting marker-mediated selection of the common oat.

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Genetic diversity of common wheat varieties at the gliadin-coding loci

Cited by 13 publications

References 4 publications

Genetic diversity of gliadin-coding alleles in bread wheat (Triticum aestivum L.) from Northern Kazakhstan

Genetic diversity of gliadin-coding alleles in bread wheat (Triticum aestivum L.) from Northern Kazakhstan

Laboratory varietal control as a guarantee of successful work of agribusiness in Russia

Component composition of oat prolamins in A. strigosa Schreb., A. abyssinica Hochst., A. byzantina C. Koch. and A. sativa L.

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