EVALUATION OF SALINITY TOLERANCE IN SOME BREAD WHEAT RECOMBINANT INBRED LINES USING MICROSATELLITES MARKERS
Abstract
In most countries worldwide, including Egypt, bread wheat is essential among cereals crops. However, soil salinity is a global issue that has a negative impact on plant growth, development, and productivity. Therefore, salt tolerance is an important feature that must be improved in wheat genotypes. Identifying informative and highly differential molecular markers is critical for developing salt-tolerant genotypes that could tolerate excessive salts in the soil. Twelve bread wheat recombinant inbred lines (RILs) derived from a cross between Shandaweel-1 and Giza-168, were evaluated in pots following completely randomized design (CRD) for salinity tolerance. All genotypes were assessed under control (10 mM NaCl) and salt stress (102 mM NaCl). Some phenotypic traits including plant height, number of tillers/plant and number of leaves/plant were measured. The three phenotypic traits were positively correlated with salt tolerant trait index (STTI), and negatively correlated with the salt injury index (SII). Out of 12 microsatellites markers (SSRs) used to evaluate salt tolerance in wheat genotypes, three primers (wmc432, gwm88 and gwm213) revealed genetic polymorphism between parental genotypes and among the studied RILs. Large variations could be observed for proline accumulation among the 12 wheat RILs and between their parents, and the results of estimation of proline content confirmed the results obtained on the morphological and the molecular levels and indicated that there must be a relationship between proline accumulation and salt tolerance mechanisms in wheat. Due to their high performance under salt stress conditions, amplifying a polymorphic band within three primers associated with salt tolerance and accumulating the highest amounts of proline content under salt stress, six RILs out of the 12 studied could be considered as promising materials for improving bread wheat in breeding programs in the future.
References
Ali Z., Salam A., Azhar F. M. and Khan I. A. (2007). Genotypic variation in salinity tolerance among spring and winter wheat (Triticum aestivum L.) accessions. South Afr. J. Bot., 73(5): 70-75.
Ashraf M. F. M. R. and Foolad M. R. (2007). Roles of glycine betaine and proline in improving plant abiotic stress resistance. Environmental and Experimental Botany, 59(2): 206-216.
Budak H., Hussain B., Khan Z., Ozturk N. Z. and Ullah N., (2015). From genetics to functional genomics: Improvement in drought signaling and tolerance in wheat. Frontiers in Plant Science, 6(11): 1-13.
El-Moneim D. A., Alqahtani M. M., Abdein M. A. and Germoush M. O., (2020). Drought and salinity stress response in wheat: physiological and TaNAC gene expression analysis in contrasting Egyptian wheat genotypes. Journal of Plant Biotechnology, 47(1): 1-14.
El-Rawy M., (2020). Assessment of genetic diversity for some Egyptian wheat varieties based on morphological characters and SSR markers. Scientific Journal of Agricultural Sciences, 7(9): 86-98.
Elshafei A. A., Afiah S. A. E. A., Al-Doss A. A. and Ibrahim E. I., (2019). Morphological variability and genetic diversity of wheat genotypes grown on saline soil and identification of new promising molecular markers associated with salinity tolerance. Journal of Plant Interactions, 14(1): 564-571.
FAO - Food and Agriculture Organization (2021) FAO GIEWS Country Brief on Egypt. https://www.fao.org/giews/countrybrief/country.jsp?code=EGY.
Ghaedrahmati M., Mardi M., Naghavi M. R., Majidi Haravan E., Nakhoda B., Azadi A. and Kazemi M., (2018). Mapping QTLs associated with salt tolerance related traits in seedling stage of wheat (Triticum aestivum L.). J. Agr. Sci. Tech., 16(5): 1413-1428.
Ilyas, N., Amjid M. W., Saleem M. A., Khan W., Wattoo F. M., Rana R. M., Maqsood H. R., Zahid A., Shah G. A., Anwar A., Ahmad M. Q., Shaheen M., Riaz H. and Ansari M. J., (2020). Quantitative trait loci (QTL) mapping for physiological and biochemical attributes in a Pasban90/Frontana recombinant inbred lines (RILs) population of wheat (Triticum aestivum L.) under salt stress condition. Saudi Journal of Biological Sciences, 27(1): 341-351.
Infante D., (2002). A rapid and simple method for small-scale DNA extraction in Agavaceae and other tropical plants. Plant Molecular Biology Reporter, 20(4): 299-301.
Jiménez-Bremont J. F., Becerra-Flora A., Hern?ndez-Lucero E., Rodr?guez- Kessler M., Acosta-Gallegos J. A. and Ram?rez- Pimentel J. G., (2006). Proline accumulation in two bean cultivars under salt stress and the effect of polyamines and ornithine. Biologia Plantarum, 50(4): 763-766.
Kumar S. G., Reddy A. M. and Sudhakar C., (2003). NaCl effects on proline metabolism in two high yielding genotypes of mulberry (Morus alba L.) with contrasting salt tolerance. Plant Science, 165(6): 1245- 1251.
Mahmud R., Kabir M. R., Hoque M. E. and Yousuf Akhond M. A., (2018). Assessment of some genetic attributes in wheat (Triticum aestivum L.) using gene-specific molecular markers. Agriculture and Natural Resources, 52(1): 39-44.
Misra N. and Gupta A. K., (2005). Effect of salt stress on proline metabolism in two high yielding genotypes of green gram. Plant science, 169(2): 331-339.
Mohamed E. A. and El-Ameen T. M., (2019). SSR marker for grain yield under heat stress conditions in bread wheat. J. Genet. Cytol., 48(5): 205-116.
Mohammadi-Nejad G., Arzani A., Rezai A. M., Singh R. K. and Gregorio G. B. (2008). Assessment of rice genotypes for salt tolerance using microsatellite markers associated with the saltol QTL. African Journal of Biotechnology, 7(6): 730-736.
Ouwendijk J., Moolenaar C. E., Peters W. J., Hollenberg C. P., GinselL. A., Fransen J. A. and Naim H. Y., (1996). Congenital sucrase-isomaltase deficiency. Identification of a glutamine to proline substitu- tion that leads to a transport block of sucrase-isomaltase in a pre-Golgi compartment. The Journal of clinical investigation, 97(3): 633-641.
Rashed M. A., Sallam M. A. and Ahmed N. E., (2006). Molecular markers for iron deficiency stress. J. Biol. Chem. Environ. Sci., 1 (2): 147-158.
Shahzad A., Ahmad M., Iqbal M., Ahmed I. and Ali G. M., (2012). Evaluation of wheat landrace genotypes for salinity tolerance at vegetative stage by using morphological and molecular markers. Genetics and Molecular Research: GMR, 11(1): 679-692.
Tani C. and Sasakawa H., (2006). Proline accumulates in Casuarina equisetifolia seedlings under salt stress. Soil science and plant nutrition, 52(1): 21-25.
Tao R., Ding J., Li C., Zhu X., Guo W., screening of agro-physiological indices for salinity stress tolerance in wheat at the seedling stage. and M. Zhu (2021). Evaluating and Frontiers in Plant Science, 12(3): 1-12.
Troll W. and Lindsley J., (1955). A photometric method for the determination of proline. Journal of Biological Chemistry, 215(2): 655- 660.
USDA - United States Department of Agriculture (2021), forecasts records for world wheat in 2021-2022. https://www.ers.usda.gov/webdocs/outlooks/104470/whs-22h.pdf?v=8189
Watson A., Ghosh S., Williams M. J., Cuddy W. S., Simmonds J., Rey M., Smith D. and Hickey L. T., (2018). Speed breeding is a powerful tool to accelerate crop research and breeding. Nature plants, 4(1): 23- 29.
Zhang Y.Q., Liu S.Q., Yang F. J. and Li D., F. (2003). Study on screening of salt-tolerant watermelon stock and mechanism of salt-tolerance. Acta Agric. Boreali-occidentalis Sin, 23(12): 105-108.
Zhu J., Bie Z. and Li Y., (2008). Physiological and growth responses of two different salt-sensitive cucumber cultivars to NaCl stress. Soil Science and Plant Nutrition, 54(9): 400-407.