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HomeAP 19677444 (supervisor Anuarbek S.N.)

AP 19677444 (supervisor Anuarbek S.N.)

Brief description of the project

(2023-2025)

 

Project title: IRN AP 19677444 «Identification of quantitative trait loci for productivity and quality of chickpea (Cicer arietinum L.) seeds using genome-wide association study».

 

Relevance. Chickpea (Cicer arietinum L.) is an important crop for food security and feed production due to its high content of edible plant protein, hypoallergenic, and balanced amino acid composition. One of the urgent tasks of genetics and breeding is the search for associations between genes, DNA markers, and breeding-valuable traits using the methodology of genome-wide association study (GWAS). This project will search for loci of quantitative traits associated with the yield and quality of chickpeas, using data from whole-genome sequencing of 4972803 SNP markers (Illumina HiSeq2500) and phenotyping of 238 chickpea samples from the world collection, in the conditions of south-east Kazakhstan. As a result, a set of informative KASP (Kbioscience competitive allele-specific PCR) markers associated with the productivity and quality of chickpea seeds will be developed. High-yielding and high-quality chickpea accessions will be selected to strengthen breeding programs in Kazakhstan. An assessment of the genetic diversity of the world chickpea collection, including samples of Kazakhstan breeding, will also be given using microsatellite markers.

 

The goal of the project: To search for quantitative trait loci that determine the productivity and quality of seeds, based on studying the world collection of chickpeas and using the methodology of genome-wide association study.

 

Expected results:

  1. The world collection of chickpeas will be studied for economically valuable traits in the southeast of Kazakhstan. Characteristics of the collection samples will be given based on a set of morphological characteristics and productivity components;
  2. The genetic diversity of the chickpea collection will be assessed using microsatellite DNA markers. The most informative DNA markers associated with economically valuable traits will be identified;
  3. An assessment of the biochemical composition of seeds in the chickpea collection will be given. The level of variability of protein and amino acid content in chickpea collection will be studied;
  4. Associations of DNA markers with productivity and quality traits of chickpea seeds will be identified using a genome-wide association study;
  5. Informative KASP markers for seed productivity and quality will be developed. Local commercial chickpea cultivars and promising lines will be genotyped using KASP markers;
  6. Validation of the effectiveness of informative KASP markers will be carried out based on the study of local hybrid lines of the older generation. Promising chickpea lines will be selected for breeding intensification in Kazakhstan.

 

Scientific Supervisor of the project: Anuarbek Shynar Nurlankyzy, PhD,  Researcher at the Laboratory of Molecular Genetics of the IPBB, 11 years of experience on the project topic, H index – 4,https://www.scopus.com/authid/detail.uri?authorId=57192177334

Research group: 

Turuspekov Yerlan Kenesbekovich, Candidate of Biological Sciences, Professor, Head of the Laboratory of Molecular Genetics. H-index 16, https://www.scopus.com/authid/detail.uri?authorId=57197860996

Abugalieva Saule Izteleuovna, Principal Researcher, Doctor of Biological Sciences, Professor. H-index 12, https://www.scopus.com/authid/detail.uri?authorId=6507029042).

Zatybekov Alibek Kamzabekovich, PhD, a leading researcher at the Laboratory of Molecular Genetics, Institute of the IPBB, H-index – 4, https://www2.scopus.com/hirsch/author.uri?accessor=authorProfile&auidList=57196942983),

Baytarakova Kuralai Zhumanovna, Master, 1st-year doctoral student at Kazakh Agrarian University, senior researcher at the Department of Leguminous Crops of the Kazakh Research Institute of Agriculture and Plant Growing.

 

List of publications of the project’s participants (2018-2022)

  1. Utility model patent KZ No. 3137 A01N 1/04 (2006.01) State Register bulletin No. 36 dated 09.24.2018. Zatybekov A.K., Anuarbek S.N., Abugalieva S.I., Doszhanova B.N., Turuspekov Y.K. A method for identification of breeding valuable soybean lines using KASP technology. https://gosreestr.kazpatent.kz/Utilitymodel/Details?docNumber=283866.
  2. Genievskaya Y., Pecchioni N., Laidò G., Anuarbek S., Rsaliyev A.,Chudinov, V.; Zatybekov A., Turuspekov Y., Abugalieva S., Genome‐Wide Association Study of Leaf Rust and Stem Rust Seedling and Adult Resistances in Tetraploid Wheat Accessions Harvested in Kazakhstan. Plants (IF=4.658, Q1-Plant Sciences; SJR=0.765, percentile 71 – Plant Sciences) 2022, 11, 1904. https://doi.org/10.3390/plants11151904. (https://www.scopus.com/record/display.uri?eid=2-s2.0-85136983036&origin=resultslist&sort=plf-f).
  3. Anuarbek S., Abugalieva S., Pecchioni N., Laidò G., Maccaferri M., Tuberosa R., Turuspekov Y. (2020). Quantitative trait loci for agronomic traits in tetraploid wheat for enhancing grain yield in Kazakhstan environments. PLOS ONE (IF=3.752, Q2- Multidisciplinary Sciences; SJR=0.852, percentile 87 – Multidisciplinary), 15(6), e0234863. doi:10.1371/journal.pone.0234863. (https://www.scopus.com/record/display.uri?eid=2-s2.0-85087025039&origin=resultslist&sort=plf-f).
  4. Zatybekov A., Anuarbek S., Abugalieva S., Turuspekov Y. Phenotypic and genetic variability of a tetraploid wheat collection grown in Kazakhstan. Vavilovskii Zhurnal Genetiki i Selektsii = Vavilov Journal of Genetics and Breeding. (Q3 – Agricultural and Biological Sciences; SJR=0.188, percentile 42 – General Agricultural and Biological Sciences). 2020;24(6):605-612. DOI 10.18699/VJ20.654
  5. Anuarbek S., Abugalieva S., Turuspekov Y. Validation of bread wheat KASP markers in durum lines in Kazakhstan. Proceedings of the Latvian Academy of Sciences, Section B: Natural, Exact, and Applied Sciences (SJR=0.143, percentile 29-Multidisciplinary). 2019. 73(5): P.462-465. DOI: 10.2478/prolas-2019-0071. (https://www.scopus.com/record/display.uri?eid=2-s2.0-85079387457&origin=resultslist&sort=plf-f).
  6. Utility model patent KZ No. 5061 C12Q 1/6806. State Register Bulletin No. 40 dated 10.09.2020. Turuspekov Y.K., Abugalieva S.I., Anuarbek S.N. A method for identification of breeding-valuable durum wheat lines ( durum Desf.) using molecular markers based on KASP technology. https://gosreestr.kazpatent.kz/Utilitymodel/Details?docNumber=323771.
  7. Zatybekov A., Abugalieva S., Didorenko S., Rsaliyev A., Turuspekov Y. (2018). GWAS of a soybean breeding collection from Southeast and South Kazakhstan for resistance to fungal diseases. Vavilovskii Zhurnal Genetiki i Selektsii. (Q3 – Agricultural and Biological Sciences; SJR=0.188, percentile 42 – General Agricultural and Biological Sciences). 22(5):536-543. DOI: https://doi.org/10.18699/VJ18.392. (https://www.scopus.com/record/display.uri?eid=2-s2.0-85052138239&origin=resultslist&sort=plf-f).
  8. Zatybekov A., Turuspekov Y., Doszhanova B., Didorenko S., Abugalieva S. Effect of Population Size on Genome-Wide Association Study of Agronomic Traits in Soybean // Proceedings of the Latvian Academy of Sciences, Section B: Natural, Exact, and Applied Sciences, (SJR=0.143, percentile 29-Multidisciplinary), 2020, 74(4), P. 244–251. DOI: https://doi.org/10.2478/prolas-2020-0039.
  9. Baytarakova K.Z., Kudaibergenov M.S., Kenenbaev S.B. Productivity and quality of chickpea grain at the final stage of breeding // Izdenister, natizheler, No. 4 (88) 2020. – P. 199-204 [In Russian].
  10. Patent for breeding achievement KZ No. 943. State Register Bulletin No. 53 dated 31.12.2020. Baytarakova K.Z., Begzhanov Z.N., Kudaibergenov M.S., Aldeshova M.K. Chickpea cultivar «Nurly-80». Copyright certificate No. 598 dated March 13, 2017(https://gosreestr.kazpatent.kz/SelectionAchievement/Details?docNumber=291390).
  11. Patent for breeding achievement KZ No. 943. State Register Bulletin No. 53 dated 31.12.2020. Bulatova K.M., Mazkirat Sh., Orazaliev N.N., Kudaibergenov M.S., Baytarakova Z. Chickpea cultivar «Miras 07».(https://gosreestr.kazpatent.kz/SelectionAchievement/Details?docNumber=282272).
  12. Zatybekov A., Genievskaya Y.; Rsaliyev A., Maulenbay A., Yskakova G., Savin T., Turuspekov Y., Abugalieva S. Identification of Quantitative Trait Loci for Leaf Rust and Stem Rust Seedling Resistance in Bread Wheat Using a Genome-Wide Association Study. Plants (IF=4.658, Q1- Plant Sciences; SJR=0.765, percentile 71 – Plant Sciences) 2022, 11, 74. https://doi.org/10.3390/plants11010074. (https://www.scopus.com/record/display.uri?eid=2-s2.0-85121687724&origin=resultslist&sort=plf-f).

Results for 2023: As a result of field tests of 238 samples of the world chickpea collection in the Almaty region, a comparative assessment of growing seasons and yield components of the studied samples was conducted. Samples with the highest trait performance based on the weight of seeds per plant (8 accessions) and the 1000 seed weight (4 accessions) were identified. The extraction and purification of DNA of chickpea were carried out in 3 replications. Primer screening of 5 SSR markers was carried out.

 

Publications (2023): ————