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An SNP based genotyping assay for genes associated with drought tolerance in bread wheat

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Abstract

Background

SnRK2 plays vital role in responding to adverse abiotic stimuli. The applicability of TaSnRK2.4 and TaSnRK2.9 was investigated to leverage the potential of these genes in indigenous wheat breeding programs.

Methods

Genetic diversity was assessed using pre-existing markers for TaSnRK2.4 and TaSnRK2.9. Furthermore, new markers were also developed to enhance their broader applicability. KASP markers were designed for TaSnRK2.4, while CAPS-based markers were tailored for TaSnRK2.9.

Results

Analysis revealed lack of polymorphism in TaSnRK2.4 among Pakistani wheat germplasm under study. To validate this finding, available gel-based markers for TaSnRK2.4 were employed, producing consistent results and offering limited potential for application in marker-assisted wheat breeding with Pakistani wheat material. For TaSnRK2.9-5A, CAPS2.9-5A-1 and CAPS2.9-5A-2 markers were designed to target SNP positions at 308 nt and 1700 nt revealing four distinct haplotypes. Association analysis highlighted the significance of Hap-5A-1 of TaSnRK2.9-5A, which exhibited association with an increased number of productive tillers (NPT), grains per spike (GPS), and reduced plant height (PH) under well-watered (WW) conditions. Moreover, it showed positive influence on NPT under WW conditions, GPS under water-limited (WL) conditions, and PH under both WW and WL conditions. High selection intensity observed for Hap-5A-1 underscores the valuable role it has played in Pakistani wheat breeding programs. Gene expression studies of TaSnRK2.9-5A revealed the involvement of this gene in response to PEG, NaCl, low temperature and ABA treatments.

Conclusion

These findings propose that TaSnRK2.9 can be effectively employed for improving wheat through marker-assisted selection in wheat breeding efforts.

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Data availability

No datasets were generated or analysed during the current study.

References

  1. Ijaz M, Afzal A, Shabbir G, Iqbal J, Rafique M (2023) Breeding wheat for leaf rust resistance: past, present, and future. Asian J Agri Biol 2023: 2021426

  2. Nielsen NH, Backes G, Stougaard J, Andersen SU, Jahoor A (2014) Genetic diversity and population structure analysis of European hexaploid bread wheat (Triticum aestivum L.) varieties. PLoS ONE e94000.

  3. Govindaraj M, Vetriventhan M, Srinivasan M (2015) Importance of genetic diversity assessment in crop plants and its recent advances: an overview of its analytical perspectives. Genet Res Int 431487:1–14

    Google Scholar 

  4. Khan MK, Pandey A, Thomas G, Akkaya MS, Kayis SA, Ozsensoy Y, Hamurcu M, Gezgin S, Topal A, Hakki EE (2015) Genetic diversity and population structure of wheat in India and Turkey. AoB Plants 7:plv083

    Article  PubMed  PubMed Central  Google Scholar 

  5. Mirzaghaderi G, Mason AS (2019) Broadening the bread wheat D genome. Theor Appl Genet 132:1295–1307

    Article  CAS  PubMed  Google Scholar 

  6. Feuillet C, Langridge P, Waugh R (2008) Cereal breeding takes a walk on the wild side. Trend Genet 24:24–32

    Article  CAS  Google Scholar 

  7. Hussain S, Habib M, Ahmed Z, Sadia B, Bernardo A, Amand PS, Bai G, Ghori N, Khan AI, Awan FS, Maqbool R (2022) Genotyping-by-sequencing based molecular genetic diversity of Pakistani bread wheat (Triticum aestivum L.) accessions. Front Genet 13:772517

    Article  PubMed  PubMed Central  Google Scholar 

  8. Khan N, Zhang Y, Wang J, Li Y, Chen X, Yang L, Zhang J, Li C, Li L, Ur Rehman S, Reynolds MP, Zhang L, Zhang X, Mao X, Jing R (2022) TaGSNE, a WRKY transcription factor overcomes the tradeoff between grain size and grain number and associates with root development in common wheat. J Exp Bot 73:6678–6696

    Article  CAS  PubMed  Google Scholar 

  9. Shoaib M, Yang W, Shan Q, Sun L, Wang D, Sajjad M, Li X, Sun J, Liu D, Zhan K, Zhang A (2020) TaCKX gene family, at large, is associated with thousand-grain weight and plant height in common wheat. Theor Appl Genet 133:3151–3163

    Article  CAS  PubMed  Google Scholar 

  10. Miao L, Mao X, Wang J, Liu Z, Zhang B, Li W, Chang X, Reynolds M, Wang Z, Jing R (2017) Elite haplotypes of a protein kinase gene TaSnRK2.3 associated with important agronomic traits in common wheat. Front Plant Sci 8:368

    Article  PubMed  PubMed Central  Google Scholar 

  11. Majeed U, Hou J, Hao C, Zhang X (2022) TaNAC020 homoeologous genes are associated with higher thousand kernel weight and kernel length in Chinese wheat. Front Genet 13:956921

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  12. Rasheed A, Wen W, Gao F, Zhai S, Jin H, Liu J, Guo Q, Zhang Y, Dreisigacker S, Xia X, He Z (2016) Development and validation of KASP assays for genes underpinning key economic traits in bread wheat. Theor Appl Genet 129:1843–1860

    Article  CAS  PubMed  Google Scholar 

  13. Lata C, Muthamilarasan M, Prasad M (2015) Drought stress responses and signal transduction in plants. In: Pandey GK (ed) Elucidation of abiotic stress signaling in plants. Springer New York, New York, NY, pp 195–225

    Chapter  Google Scholar 

  14. Zhang H, Mao X, Wang C, Jing R (2010) Overexpression of a common wheat gene TaSnRK2.8 enhances tolerance to drought, salt, and low temperature in Arabidopsis. PLoS ONE 5:e16041

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  15. Hauser F, Waadt R, Schroeder JI (2011) Evolution of abscisic acid synthesis and signaling mechanisms. Curr Biol 21:346–355

    Article  Google Scholar 

  16. Varshney RK, Bohra A, Yu J, Graner A, Zhang Q, Sorrells ME (2021) Designing future crops: genomics assisted breeding comes of age. Trend Plant Sci 26(6):631–649

    Article  CAS  Google Scholar 

  17. Ray DK, Ramankutty N, Mueller ND, West PC, Foley JA (2012) Recent patterns of crop yield growth and stagnation. Nat Commun 3:1293

    Article  PubMed  Google Scholar 

  18. Xu C, Ren Y, Jian Y, Guo Z, Zhang Y, Xie C, Fu J, Wang H, Wang G, Xu Y, Li P, Zou C (2017) Development of a maize 55 K SNP array with improved genome coverage for molecular breeding. Mol Breed 37:20

    Article  PubMed  Google Scholar 

  19. Rasheed A, Hao Y, Xia X, Khan A, Xu Y, Varshney RK, He Z (2017) Crop breeding chips and genotyping platforms: progress, challenges, and perspectives. Mol Plant 10:1047–1064

    Article  CAS  PubMed  Google Scholar 

  20. Miao L, Li Y, Zhang HJ, Zhang HJ, Liu X, Wang J, Chang X, Mao X, Jing R (2021) TaSnRK2.4 is a vital regulator in control of thousand-kernel weight and response to abiotic stress in wheat. J Integr Agri 20(1):46–54

    Article  CAS  Google Scholar 

  21. Ur Rehman S, Wang J, Chang X, Zhang X, Mao X, Jing R (2019) A wheat protein kinase gene TaSnRK2.9-5A associated with yield contributing traits. Theor Appl Genet 132:907–919

    Article  CAS  PubMed  Google Scholar 

  22. Ali Q, Salisu IB, Raza A, Shahid AA, Rao AQ, Husnain T (2019) A modified protocol for rapid DNA isolation from cotton (Gossypium spp). MethodsX 6:259–264

    Article  PubMed  PubMed Central  Google Scholar 

  23. Livak KJ, Schmittgen TD (2001) Analysis of relative gene expression data using real-time quantitative PCR and the 2–∆∆CT method. Methods 25:402–408. https://doi.org/10.1006/meth.2001.1262

    Article  CAS  PubMed  Google Scholar 

  24. Gedye KR, Gonzalez Hernandez JL, Owens V, Boe A (2012) Advances towards a marker-assisted selection breeding program in prairie cordgrass, a biomass crop. Int J Plant Genomics 1–8

  25. Kalu SE, Ubi GM, Osuagwu AN, Ekpo IA, Edem LU (2022) Microsatellite fingerprinting enzyme activity and chlorophyll profiling of local lines of air potato yams (Dioscorea bulbifera L.) for salt tolerance. Asian J Agri Bio https://doi.org/10.35495/ajab.2021.01.08

  26. Lawrie RD, Massey SE (2023) Agrigenomic diversity unleashed: current single nucleotide polymorphism genotyping methods for agricultural sciences. Appl Biosci 2(4):565–585

    Article  Google Scholar 

  27. Majeed U, Darwish E, Rehman SU, Zhang X (2018) Kompetitive Allele specific PCR (KASP): a singleplex genotyping platform and its application. J Agri Sci 11:11

    Google Scholar 

  28. Dey A, Samanta MK, Gayen S, Maiti MK (2016) The sucrose non-fermenting 1-related kinase 2 gene SAPK9 improves drought tolerance and grain yield in rice by modulating cellular osmotic potential, stomatal closure, and stress-responsive gene expression. BMC Plant Biol 16:158. https://doi.org/10.1186/s12870-016-0845-x

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  29. Kobayashi Y, Yamamoto S, Minami H, Kagaya Y, Hattori T (2004) Differential activation of the rice sucrose non-fermenting1–related protein kinase2 family by hyperosmotic stress and abscisic acid. Plant Cell 16:1163–1177. https://doi.org/10.1105/tpc.019943

    Article  CAS  PubMed  PubMed Central  Google Scholar 

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Acknowledgements

The authors extend their appreciation to Researchers Supporting Project number (RSP-2024 R369), King Saud University, Riyadh, Saudi Arabia. The authors are thankful to the Director of University Farms, Dr. Abdul Ghaffar and Deputy Director of University Farms, Mr. Mahmood Alam Khan, MNS University of Agriculture, Multan, for assisting in field experimentation.

Funding

This study was financially supported by the “LO21002838-National Crop Genomics and Speed Breeding Center For Agriculture Sustainability - ADP- 2021-22 to 2023-24” and 2022 ZDZX0014 Cultivation of Major New Varieties of Green and High Efficiency Wheat” projects.

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Contributions

Conceptualization by A.R and S.U.R; Data curation by A.R; Analysis by A.R, M.A.S, U.F, A.R (Awais Rasheed), Z.K; Original draft written by A.R; Reviewed by S.U.R, A.R (Awais Rasheed), M.S, R.J, R.M.I, J.C, Z.K; Overall supervision by J.C and S.U.R. K.A.A, A.A.M and S.F provided with technical expertise and funding acquisition. All author agreed on submission of article.

Corresponding authors

Correspondence to Jing Chen or Shoaib Ur Rehman.

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The authors declare no conflict of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript; or in the decision to publish the results.

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Rauf, A., Sher, M.A., Farooq, U. et al. An SNP based genotyping assay for genes associated with drought tolerance in bread wheat. Mol Biol Rep 51, 527 (2024). https://doi.org/10.1007/s11033-024-09481-x

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