Agricultural and Biological Sciences, Agronomy and Crop Science, Biotechnology, Molecular Biology
9
Scopus Publications
Scopus Publications
Yield and yield component trait analysis with DArT genotyping for GWAS in soybean grown in drought conditions of Kazakhstan Aigul Amangeldiyeva, Raushan Yerzhebayeva, Shynar Mazkirat, Svetlana Didorenko, Sholpan Bastaubayeva, Bekzhan Maikotov, Rinat Kassenov, Assel Jenisbayeva, Yuri Shavrukov Frontiers in Plant Science, 2025 Development of drought tolerant cultivars of soybean is the single best way to address the challenge of global climate change and very limited water resources for crop irrigation in Central Asia including Kazakhstan. A set of 188 soybean cultivars with diverse origins was assessed for genome-wide association study (GWAS) for yield and eight yield-related traits in both irrigated (well-watered, WW) and non-irrigated (drought) conditions during 2 years in field trials in South-Eastern Kazakhstan. The 295K Diversity array technology (DArT) analysis was applied, and 16K filtered DArT markers were used for genotyping of 183 soybean accessions. In the results, 41 quantitative trait nucleotides (QTN) were identified as significantly associated with nine studied traits. To verify these results, bulk segregant analysis (BSA) was carried out in six breeding lines originating from two crosses between high-yielding under drought cvs, Sponsor and Zen, with drought sensitive cv Lastochka. The evaluation of combined results revealed 10 most significant QTN and eight most promising putative candidate genes, which were selected and tested for their gene expression using RT-qPCR under drought compared with WW controls. Among them, glucose-6-phosphate isomerase (G6PI), pentatricopeptide repeats (PPR) protein, and ABC transporter, associated with seed yield, seed weight per plant, and plant height, were highly upregulated in drought tolerant genotypes. In contrast, two other genes, Rab-GDP dissociation inhibitor (Rab-GDI) and Transducin with WD40 repeats, associated with seed yield, showed repression in the same genotypes. These verified genes involved in the control of yield and yield-related traits can be used for marker-assisted selection to develop novel genotypes and new soybean cultivars tolerant to strong drought in Kazakhstan and in other countries with similar conditions.
Soybean Drought Tolerance and Escape: Field Trial Assessment of Yield, Maturity Groups and Smooth-Wrinkled Seed Coats in Kazakhstan Raushan Yerzhebayeva, Svetlana Didorenko, Sholpan Bastaubayeva, Aigul Amangeldiyeva, Bekzhan Maikotov, Rinat Kassenov, Yuri Shavrukov Agriculture Switzerland, 2024 Soybean is a major legume and oilseed crop with enormous economic importance, but its production is highly dependent on optimal rainfall or ample irrigation. In Kazakhstan, soybean production is highly vulnerable to drought and irrigation shortages. The aim of this study was to assess the level of drought escape and tolerance of soybean genotypes in different maturity groups, grown in well-watered conditions or without irrigation. Field trials were conducted in the very dry conditions of Kazakhstan with the hydrothermal coefficient 0.46–0.67. Nineteen soybean cultivars from five maturity groups were tested over four seasons under two conditions, with and without irrigation. The main indicators of drought tolerance were seed yield, seed weight per plant, percentage of seeds with smooth coats compared to wrinkled and shriveled ones, and 1000 seed weight. Under drought, seed yield of the studied genotypes decreased by 45.5–69.5% compared to well-watered controls. The most optimal genotypes for cultivation without irrigation were soybean cultivars from medium maturity group MG I (Vilana, Cheremosh, Xin-D11-252, and Desna) with a vegetation period of 115–128 days when avoiding drought during flowering, and the average yield for the group (1.7 t/ha) was slightly below that of those in drought-tolerant genotypes from medium–late/late maturity groups MG II–III (1.9–2.0 t/ha). Based on yield under drought, the best cultivars were identified as follows: Ivushka (1.2 t/ha) for MG 00 group; Ustya (1.3 t/ha) for MG 0; Vilana (1.8 t/ha) for MG I; Zen (2.3 t/ha) for MG II; and Sponsor (2.5 t/ha) for MG III. The identified genotypes can be used in breeding programs to reduce drought effects on soybean crops.
Assessment of molecular markers and marker-assisted selection for drought tolerance in barley (Hordeum vulgare L.) Akmaral Baidyussen, Gulmira Khassanova, Maral Utebayev, Satyvaldy Jatayev, Rystay Kushanova, Sholpan Khalbayeva, Aigul Amangeldiyeva, Raushan Yerzhebayeva, Kulpash Bulatova, Carly Schramm, Peter Anderson, Colin L.D. Jenkins, Kathleen L. Soole, Yuri Shavrukov Journal of Integrative Agriculture, 2024 The present status in the field of molecular markers and Marker-assisted selection (MAS), using the example of drought tolerance in barley, has been updated in this review. The accuracy of selected QTLs, candidate genes and suggested markers was assessed in the barley genome cv. Morex. Six common strategies are described for molecular marker development, candidate gene identification and verification, and their possible application in MAS to improve grain yield and yield components in barley under drought stress. These strategies are based on the following statements: (1) Molecular markers designated as genomic ‘tags’, and their ‘prediction’ is strongly dependent on their distance, on genetic or physical maps, from a candidate gene; (2) plants react differently under favourable and stressful conditions or depending on their stage of development; (3) each candidate gene must be verified by confirming their expression in the relevant conditions, e.g. drought; (4) the molecular marker identified must be validated for MAS for tolerance to drought stress and improved grain yield; (5) the small number of molecular markers realized for MAS in breeding, from the huge amount of studies targeting candidate genes, can be explained by the complex nature of drought stress, and multiple stress-responsive genes in each barley genotype that are expressed differentially depending on many factors.
ASSESSMENT OF THE GENETIC DIVERSITY IN SUGAR BEET (BETA VULGARIS L.) USING SSR MARKERS A AMANGELDIYEVA, A DANIYAROVA, LK TABYNBAYEVA, S BASTAUBAYEVA, N KOVALCHUK, R YERZHEBAYEVA Sabrao Journal of Breeding and Genetics, 2023 The genetic diversity and homogeneity of sugar beet (Beta vulgaris L.) source lines underwent analysis to select the promising parental pairs for hybridization. The 420 individual plants from 21 sugar beet lines served as research materials. A result of the study of polymorphism with nine SSR markers obtained 22 alleles, with an average of 2.4 alleles per marker. The Bvv155 marker emerged as the most useful for detecting the genetic diversity of sugar beet lines and predicting heterosis. Identifying the FDSB1002, FDSB1007, and FDSB957 markers as polymorphic determined the intra-linear heterogeneity of the source material. The analysis of molecular variance showed that in the studied sugar beet samples, the highest variation was prominent among the populations (48%), while heterogeneity within the population was 21%. The genetic distances between pollinator lines and lines with cytoplasmic male sterility ranged by 1.4–3.5 (Euclidean distances) and 0.12–1.0 (Nei’s distances). Distinguishing seven parent pairs of sugar beet attained endorsement for crosses having Nei’s genetic distance of D = 0.81 will create highly productive hybrids. The presented results may play a vital role in developing heterotic hybrids in sugar beet through a practical breeding program.
Marker-Assisted Selection for Early Maturing E Loci in Soybean Yielded Prospective Breeding Lines for High Latitudes of Northern Kazakhstan Raushan Yerzhebayeva, Svetlana Didorenko, Aigul Amangeldiyeva, Aliya Daniyarova, Shynar Mazkirat, Alyona Zinchenko, Yuri Shavrukov Biomolecules, 2023 The photoperiodic sensitivity of soybean (Glycine max L.) is one of the limiting factors affecting plant growth and yield. At higher latitudes, early flowering and maturity with neutral reaction to photoperiods are required for adaptation of soybean plants to long-day conditions. Currently, the production and distribution of new varieties of soybeans adapted to widespread agricultural regions in northern Kazakhstan is in strong demand. Eleven soybean hybrid populations were obtained from crosses between 17 parents with four maturity groups, MG 000, 00, 0, and I. Marker-assisted selection (MAS) was assessed for suitable SSR markers and successfully applied for genes E1, E3, E4, and E7, targeting homozygous genotypes with recessive alleles. The identified and selected genotypes were propagated and tested in the conditions of 53° N latitude in the Kostanay region of northern Kazakhstan. Finally, 20 early maturing F4 breeding lines were identified and developed with genotypes e1 e3 E4 e7, e1 E3 E4 e7, and e1 E3 e4 e7, all completing their growth period within 92–102 days. These breeding lines were developed by MAS and should provide very prospective superior varieties of soybean for northern Kazakhstan through a strategy that may be very helpful to other countries with high latitudes.
ASSESSMENT OF SUGAR BEET GENETIC DIVERSITY IN THE REPUBLIC OF KAZAKHSTAN BY USING RAPD MARKERS AND AGROMORPHOLOGICAL TRAITS A.M. Abekova, R.S. Yerzhebayeva, S.O. Bastaubayeva, K. Konusbekov, T.A. Bazylova, D.I. Babissekova, A.A. Amangeldiyeva Sabrao Journal of Breeding and Genetics, 2022 Sugar beet is a highly valuable and profitable crop in the Republic of Kazakhstan. It is the only source of raw materials for the production of crystalline sugar and incidentals (tops, bagasse, and molasses). This study aimed to determine the genetic diversity of 53 sugar beet samples, 19 parental lines, and 34 hybrids from Kazakhstan by using random amplified polymorphic DNA (RAPD) markers, agromorphological traits, root mass weight, and sugar content at the Kazakh Research Institute of Agriculture and Plant Growing, Almalybak, Republic of Kazakhstan. The experimental conditions were optimized for the 14 RAPD primers used in this study. The polymorphism index contents varied from 0.24 to 0.46, and all 14 primers were classified as moderately informative. The cluster analysis of RAPD data divided the sugar beet samples into seven groups. The greatest distance (D = 1.4) was noted among the male sterile lines „MS-1611‟, „MS-1631‟, „MS-97‟, and „MS-2113‟ and the pollinator lines „VP-44‟ and „VP-23‟. The samples were divided into six groups on the basis of root mass weight and sugar content via cluster analysis. The hybrids „RMS-90‟, „RMS-134‟, „RMS-133‟, „RMS-136‟, and „Ramnes‟ were grouped in a cluster that showed the highest values of root mass weight, which ranged from 610 g to 680 g. However, the samples with high sugar content (18.2–18.5), i.e., „Shecker‟, „2198‟, „H-22‟, and „1005‟, were grouped into a cluster with a distance of D = 0.8. Lines located at a large genetic distance from each other were recommended for hybridization when creating highly productive hybrids. These findings can be applied in the development of new productive and stable sugar beet hybrids in Kazakhstan.
Studying a Spring Triticale Collection for Resistance to Leaf and Stem Rusts using Allele-Specific Markers R. S. Yerzhebayeva, T. A. Bazylova, D. I. Babissekova, A. A. Amangeldiyeva, D. G. Tajibayev, A. Ydyrys Cytology and Genetics, 2020 The creation and use of rust-resistant varieties is the most eco-friendly and efficient method of protecting wheat and triticale crops. For successful selection of spring triticale for rust resistance, it is necessary to have genetic material with efficient genes. In order to identify the carriers of leaf and stem rust-resistant genes, a collection of spring triticale (86 samples) was studied using molecular markers and phytopathology methods. On an artificial infectious background, 81% of collection samples of spring triticale demonstrated a high resistance (0R) to the stem rust population. Nineteen samples that demonstrated a resistance (0–5% R) to the leaf rust population were isolated. Identification of the collection using DNA markers allowed for isolating the samples with Sr2 (19 samples), Sr22 (nine samples), and Lr28 (14 samples) genes. Among the collection, no carriers of Lr9 and Lr35/Sr39 genes were found. The samples with the efficient genes Sr2 and Sr22 were included in crossings to create stem rust-resistant domestic varieties.
Formation of production characters of soya genotypes [Glycine max (L.) Merr.] in the areas of south-east Kazakhstan with sufficient and limited water supply Svetlana Vladimirovna Didorenko, Raushan Saylauvna Yerzhebayeva, Dzuldyz Bakaevna Abidlaeva, A. A. Amangeldiyeva Agrivita, 2020 Moisture stress is a major environmental factor that limits the soy (Glycine max (L.) Merr.) yield worldwide. This study aimed to evaluate production characters of 98 varieties and collection samples of soy in the fields of the Almaty region of the Republic of Kazakhstan with and without irrigation. The experiment used a combination of features – weight of seeds from a plot, weight of 1,000 seeds, and seed plumpness – as the main markers for drought resistance assessment. Based on a comprehensive assessment of the working collection, soybean genotypes with high drought resistance were identified. These genotypes are useful genetic materials for soy breeding programs with the aim to increase yields and drought resistance. Varieties of the maturity group 00 can be cultivated in the Almaty region without irrigation, since these accessions avoid moisture stress by shortening the vegetation period. These samples can also be recommended for cultivation in non-irrigared areas of Eastern and Northern Kazakhstan. The highest productivity potential in the Almaty region was found in varieties of the maturity group II. However, their cultivation without irrigation will lead to a maximum decrease in yield.
