Identification of QTLs related to rice seedling traits under K deficiency stress in Iranian inbred lines population
Subject Areas : GeneticsHossein Sabouri 1 , Abdollatif Gholizadeh 2 , Sharifeh Alegh 3 , , Somayyeh Sanchouli 4 , Mahnaz Katouzi 5
1 - Department of Plant Production, Collage of Agriculture Science and Natural Resources, Gonbad Kavous University, Gonbad, Golestan, Iran
2 - Department of Plant production, Faculty of Agriculture Science and Natural Resources, Gonbad Kavous University, Gonbad, Iran
3 - Department of Plant Production, Faculty of Agriculture Science and Natural Resources, Gonbad Kavous University, Gonbad, Iran
4 - Department of Plant production, Faculty of Agriculture Science and Natural Resources, Gonbad Kavous University, Gonbad
5 - Department of plant breeding and genetic resource, Agroscope, Route de Duillier 50, Case Postale 1012, 1260 Nyon 1, Switzerland
Keywords: Marker assisted breeding, Potassium deficiency, Gene mapping, Seedling, Major QTL,
Abstract :
A mapping population of 96 inbred line derived by cross Neda (NAD) and Ahlamitaroum (ATM), was used to detect quantitative trait loci (QTLs) for fresh biomass (FB), root length (RL), shoot length (SL), root number (RN), leaf width (LW), root fresh weight (RFW), root dry weight (RDW) and K content (KC) under K deficiency condition in rice. Two parents and 96 inbred lines were phenotyped for the traits by growing them in K deficiency nutrient solution. In K deficiency, 16 QTL was able to explain a great deal of phenotypic variation in features. qSL-7a, qRL-6, qRL-10b, qRL-12b, qRN-6b, qRN-12b, qLL-6, qLL-7, qLW-6b, qLW-10b, qLW-12a, qLW-12b, qLW-12c, qKC-6b, qKC-10b and qKC-12c were on chromosomes 6, 7, 10 and 12. Their LOD are 4.732, 5.826, 5.01, 5.067, 11.346, 5.867, 5.973, 5.85, 7.077, 8.055, 5.577, 6.439, 8.012, 14.057, 6.432 and 858/6, respectively. In normal conditions, 5 QTL with a large effect were identified. qKCN-6c, qKCN-7a, qKCN-10, qKCN-12b and qKUN-6 were located on chromosomes 6, 7, 10, 12 and 6, respectively. Owing to the high percentage of explanation, the major QTLs can be a suitable candidate for marker assistance programs in recombinant Iranian rice lines after validation.
Adams, E. and R. Shin. 2014. Transport, signaling, and homeostasis of potassium and sodium in plants. Journal of integrative plant biology, 56, (3) 231-249.
Anis, G. B., Y. Zhang, H. Wang, Z. Li, W. Wu, L. Sun, A. Riaz, L. Cao and S. Cheng. 2018. Genomic regions analysis of seedling root traits and their regulation in responses to phosphorus deficiency tolerance in CSSL population of elite super hybrid rice. International Journal of Molecular Sciences, 19, (5) 1460.
Chen, X., S. Temnykh, Y. Xu, Y. Cho and S. Mccouch. 1997. Development of a microsatellite framework map providing genome-wide coverage in rice (Oryza sativa L.). Theoretical and applied genetics, 95, (4) 553-567.
Dien, D. C., T. Mochizuki and T. Yamakawa. 2019. Effect of various drought stresses and subsequent recovery on proline, total soluble sugar and starch metabolisms in Rice (Oryza sativa L.) varieties. Plant Production Science, 22, (4) 530-545.
Fang, Y., W. Wu, X. Zhang, H. Jiang, W. Lu, J. Pan, J. Hu, L. Guo, D. Zeng and D. Xue. 2015. Identification of quantitative trait loci associated with tolerance to low potassium and related ions concentrations at seedling stage in rice (Oryza sativa L.). Plant Growth Regulation, 77, (2) 157-166.
Fontana, J. E., G. Wang, R. Sun, H. Xue, Q. Li, J. Liu, K. E. Davis, T. E. Thornburg, B. Zhang and Z. Zhang. 2020. Impact of potassium deficiency on cotton growth, development and potential microRNA-mediated mechanism. Plant Physiology and Biochemistry, 153, 72-80.
Islam, A., Y. Zhang, G. Anis, M. Rani, W. Anley, X. Shen, L. Cao, S. Cheng and W. Wu. 2020. Mapping and validation of a major quantitative trait locus qRN5a associated with increasing root number under low potassium in rice. Plant Growth Regulation, 90, (3) 519-528.
Kosambi, D.D. 1944. The estimation of map distances from recombination values. Annuals of Eugene, 12: 172-175.
Liu, G.-D. and G.-L. Liu. 2002. Screening indica rice for K-efficient genotypes. Acta Agronomica Sinica, 28, (2) 161-166.
Mccouch, S., L. Teytelman and Y. Xu. Development of 2243 new SSR markers for rice by the international rice microsatellite initiative, 2002: PROCEEDING OF INTERNATIONAL RICE CONGRESS.
Patishtan, J., T. N. Hartley, R. Fonseca De Carvalho and F. J. Maathuis. 2018. Genome‐wide association studies to identify rice salt‐tolerance markers. Plant, cell & environment, 41, (5) 970-982.
Safdar, L. B., T. Andleeb, S. Latif, M. J. Umer, M. Tang, X. Li, S. Liu and U. M. Quraishi. 2020. Genome-wide association study and QTL meta-analysis identified novel genomic loci controlling potassium use efficiency and agronomic traits in bread wheat. Frontiers in Plant Science, 11, 70.
Tai, D., X. Zhang, Z. Su, Y. Wang, Y. Luo and J. Xia. 2004. Screening for low-kalium tolerance varieties at seedling stage from the core germplasm of integrated international rice molecular breeding program. Journal of Plant Genetic Resources, 5, (4) 356-359.
Temnykh, S., W. D. Park, N. Ayres, S. Cartinhour, N. Hauck, L. Lipovich, Y. G. Cho, T. Ishii and S. R. Mccouch. 2000. Mapping and genome organization of microsatellite sequences in rice (Oryza sativa L.). Theoretical and applied genetics, 100, (5) 697-712.
Thiyagarajan, K., S. Manonmani, R. Pushpam, D. Malarvizhi and P. D. Shankar. 2005. Per se and heterotic performance of private and public bred rice hybrids. Madras Agriculture Journal, 92, 7-9.
Yang, X., J. Liu, W. Wang, Z. Ye and A. Luo. 2004. Potassium internal use efficiency relative to growth vigor, potassium distribution, and carbohydrate allocation in rice genotypes. Journal of Plant Nutrition, 27, (5) 837-852.
Ye, T., X. Xue, J. Lu, W. Hou, T. Ren, R. Cong and X. Li. 2020. Yield and potassium uptake of rice as affected by potassium rate in the middle reaches of the Yangtze River, China. Agronomy Journal, 112, (2) 1318-1329.
Yoshida, S., D. A. Forno and J. H. Cock. 1971. Laboratory manual for physiological studies of rice. Laboratory manual for physiological studies of rice,