Genetic structure of Fe toxicity tolerance in Iranian rice (Oryza sativa L.) inbred lines population at seedling stage

Document Type : Original research paper

Authors

1 Department of Plant production, Faculty of Agriculture Science and Natural Resources, Gonbad Kavous University, Gonbad, Iran

2 Plant Breeding Crop Génome Dynamics group, Agroscope Changins, Nyon, Switzerland

Abstract

Rice is the world’s most important staple food and will continue to be so in the coming decades. Ferrous iron is essential for rice growth. A mapping population of 96 rice inbred lines derived by Neda (NAD) and Ahlemitarom (ATM) cross, 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 Fe content (FC) under Fe toxicity condition in rice. Two parents and 96 inbred lines were evaluated for the traits by growing them under normal and Fe toxicity nutrient solution. Under stress condition, two QTLs were detected for FB on chromosome 10, with LOD of 2.859, and 2.465. Twelve QTLs were identified for RL on chromosomes 2, 4, 5, 6, 7, 8, 9, 10, and 12. Three QTLs were detected on chromosomes 6, 7, and 8 for RN, and two QTLs for RDW on chromosomes 2 and 9. One QTL controlling LW, RFW, and FC was located on chromosomes 10, 9, and 1, respectively. The other QTLs for FB, SL, and RN was located on chromosomes 12, 12, and 3 under normal condition, with respective contributions of 9.7, 10, and 9.9, respectively. qLWN-2, qLWN-7, and qLWN-12 were located for LW on chromosomes 2, 7, and 12. These QTLs, due to the high percentage of explanation after validation, are a good candidate for marker-assisted selection programs with the help of markers in the rice population.

Keywords

[1] Ali, J., Jewel, Z.A., Mahender, A., Anandan, A., Hernandez, J., Li, Z. 2018. Molecular genetics and breeding for nutrient use efficiency in rice. Int J Mol Sci, 19:1762.
[2] Chen, X., Temnykh, S., Xu, Y., Cho, Y.G., McCouch, S.R. 1997. Development of a microsatellite framework map providing genome-wide coverage in rice (Oryza sativa L.). Theor Appl Genet, 95:553-567.
[3] Dong, Y.J., Ogawa, T.F., Lin, D.Z., Koh, H.J., Kamiunten, H., Matsuo, M., Cheng, S.H. 2006. Molecular mapping of quantitative trait loci for zinc toxicity tolerance in rice seedling (Oryza sativa L.).  Field Crops Res, 95: 420–425.
[4] Dufey, I., Draye, X., Lutts, S., Lorieux, M., Martinez, C., Bertin, P.  2015. Novel QTLs in an interspecific backcross Oryza sativa × Oryza glaberrima for resistance to iron toxicity in rice. Euphytica, 204:609–625.
[5] Dufey, I., Hakizimana, P., Draye, X., Lutts, S., Bertin, P. 2009. QTL mapping for biomass and physiological parameters linked to resistance mechanisms to ferrous iron toxicity in rice. Euphytica, 167(2):143–60.
[6] Dufey, I., Hiel, M.P., Hakizimana, P., Draye, X., Lutts, S., Koné, B., Dramé, K.N., Konaté, K.A., Sie, M., Bertin, P. 2012. Multi environment quantitative trait loci mapping and consistency across environments of resistance mechanisms to ferrous iron toxicity in rice. Crop Sci, 52(2):539–50.
[7] Dufey, I., Mathieu, A.S., Draye, X., Lutts, S., Bertin, P. 2015b. Construction of an integrated map through comparative studies allows the identification of candidate regions for resistance to ferrous iron toxicity in rice. Euphytica, 203(1):59–69.
[8] Elec, V., Quimio, C.A., Mendoza, R., Sajise, A.G.C., Beebout, S.E.J., Gregorio, G.B., Singh, R.K. 2013. Maintaining elevated Fe2+ concentration in solution culture for the development of a rapid and repeatable screening technique for iron toxicity tolerance in rice (Oryza sativa L.). Plant Soil, 372:253–264.
[9] Fukuda, A., Shiratsuchi, H., Fukushima, A., Yamaguchi, H., Mochida, H., Terao, T., Ogiwara, H. 2012. Detection of chromosomal regions affecting iron concentration in rice shoots subjected to excess ferrous iron using chromosomal segment substitution lines between Japonica and Indica. Plant Prod Sci, 15:183–191.
[10] Gregorio, G B., Dharmawansa Senadhira, and Rhulyx D. 1997. Screening rice for salinity tolerance. IRRI Discussion Paper Series No. 22. Manila. (Philippines): lnternational Rice Research Institute.
[11] Jaggard, K.W., Qi, A., Ober, E.S. 2010. Possible changes to arable crop yields by 2050. Philos. Trans R Soc, 365:2835–2851.
[12] Huang, L., Deng, X., Li, R., Xia, Y., Bai, G., Siddique, K.H.M., Guo, P. 2018. A Fast silver staining protocol enabling simple and efficient detection of SSR markers using a non-denaturing polyacrylamide gel. J Vis Exp. 20(134): 57192. doi: 10.3791/57192. PMID: 29733306.
[13] Kar, S., Panda, S.K. 2018. Iron homeostasis in rice: Deficit and excess. Proc Natl Acad Sci India Sect B Biol Sci, 90:227-235.
[14] Kosambi, D.D. 1994. The estimation of map distances from recombination values. Annuals of Eugene, 12:172-175.
[15] Mc Couch, S.R., Teytelman, L., Xu, Y., Lobos, K., Clare, K., Walton, M. 2002. Development of 2243 new SSR markers for rice by the international rice microsatellite initiative. Proceeding of the first international rice congress 150-152. Shanghai, China.
[16] Mohammadalegh, S. 2014. Genetic diversity and mapping of mineral element deficiency tolerance in rice at seedling stage. MSc thesis. Gonbad Kavous University. 129 pp
[17] Mongon, J,, Chaiwong, N., Bouain, N., Prom-U-Thai, C., Secco, D., Rouached, H. 2017. Phosphorus and iron deficiencies influence rice shoot growth in an oxygen dependent manner: Insight from upland and lowland rice. Int J Mol Sci, 18(3)607.
[18] Nagajyoti, P.C., Lee, K.D., Sreekanth, T.V.M. 2010. Heavy metals, occurrence and toxicity for plants: a review. Environ Chem Lett, 8(3): 199–216.
[19]  Ouyang, Y., Zeng, F., Zhuang, J., Yu, S., Zhu, L., Jin, Q., Zhang, G. 2007. Genetic analysis of genotype× iron nutrition interaction on coleoptile elongation rate in rice (Oryza sativa L.). Euphytica, 156(311).
[20] Rout, G.R., Sunita, S., Das, A.B., Das, S.R. 2014. Screening of iron toxicity in rice genotypes on the basis of morphological, physiological, and biochemical analysis. J Exp Biol Sci, 2:567–582.
[21] Sahebi, M., Hanafi, M.M., Rafii, M.Y., Mahmud, T.M.M., Azizi, P., Osman, M., Abiri, R., Taheri, S., Kalhori, N., Shabanimofrad, M. 2018. Improvement of drought tolerance in rice (Oryza sativa L.): Genetics, genomic tools, and the WRKY gene family. Biomed Res Int, 3158474.
[22] Shimizu, A., Guerta, C.Q., Gregorio, G.B., Kawasaki, S., Ikehashi, H. 2005. QTLs for nutritional contents of rice seedlings (Oryza sativa L.) in solution cultures and its implication to tolerance to iron-toxicity. Plant and Soil, 275:57–66.
[23] Shimizu, A. 2009. QTL analysis of genetic tolerance to iron toxicity in rice (Oryza sativa L.) by quantification of bronzing score. J New Seeds, 10:171–179.
[24] Stein, R.J., Duarte, G.L., Spohr, M.G., Lopes, S.I.G., Fett, J.P. 2009. Distinct physiological responses of two rice cultivars subjected to iron toxicity under field conditions. Ann Appl Biol, 154:269–277.
[25] Temnykh, S., Park, W.D., Ayres, N., Cartinhour, S., Hauck, N., Lipovich, L., Cho, Y.G., Ishii, T., McCouch, S.R. 2000. Mapping and genome organization of microsatellite sequences in rice (Oryza sativa L.). Theor Appl Genet, 100:697-712.
[26] Van Oort, P.A.J.J. 2018. Mapping abiotic stresses for rice in Africa: Drought, cold, iron toxicity, salinity and sodicity. Field Crops Res, 219:55–75.
[27] Wan, J.L., Zhai, H.Q., Wan, J.M., Ikehashi, H. 2003a. Detection and analysis of QTLs for ferrous iron toxicity tolerance in rice, Oryza sativa L. Euphytica, 131:201–206.
[28] Wan, J.L., Zhai, H.Q., Wan, J.M., Yasui, H., Yoshimura, A. 2003b. Mapping QTL for traits associated with resistance to ferrous iron toxicity in rice (Oryza sativa L.), using japonica chromosome segment substitution lines. Acta Genetica Sin, 30(10)893–898.
[29] Wan, J.L., Zhai, H.Q., Wan, J.M. 2005. Mapping of QTLs for ferrous iron toxicity tolerance in rice (Oryza sativa L.). Yi Chuan Xue Bao, 32:1156–1166.
[30] Wu, L.B., Shhadi, M.Y., Gregorio, G., Matthus, E., Becker, M., Frei, M.  2015. Genetic and physiological analysis of tolerance to acute iron toxicity in rice. Rice, 7:8.
[31] Wu, P., Hu, B., Liao, C.Y., Zhu, J.M., Wu, Y.R., Senadhira, D., Paterson, A.H. 1998. Characterization of tissue tolerance to iron by molecular markers in different lines of rice. Plant and Soil, 203(2):217–26.
[32] Wu, P., Luo, A., Zhu, J., Yang, J., Huang, N., Senadhira, D. 1997. Molecular markers linked to genes underlying seedling tolerance for ferrous iron toxicity. Plant and Soil, 196:317–320.
[33] Yoshida, S., Forno, D.A. Cock, J.H., Gomez, K.A. 1976. Laboratory Manual for 32 Studies of Rice. IRRI, Los Banos, Philippines.
[34] Zebeau, M., Vos, P.1993.  Selective restriction fragment amplification: A general method for DNA fingerprinting. Word Intellection property organization Press. Geneva, Switzerland.
[35] Zhang, Q., Chen, Q., Wang, S., Hong, Y., Wang, Z. 2014. Rice and cold stress: Methods for its evaluation and summary of cold tolerance-related quantitative trait loci. Rice, 7:24.
[36] Zhao, K., Tung, C.W., Eizenga, G.C., Wright, M.H., Ali, M.L., Price, A.H., Norton, G.J., Islam, M.R., Reynolds, A., Mezey, J., McClung, A.M., Bustamante, C.D., McCouch, S.R. 2011. Genome-wide association mapping reveals a rich genetic architecture of complex traits in Oryza sativa. Nat Commun, 2:467.
Volume 9, Issue 2
December 2021
Pages 12-23
  • Receive Date: 11 April 2022
  • Revise Date: 18 September 2022
  • Accept Date: 12 October 2022
  • First Publish Date: 12 October 2022