QTL analysis of some physiological and biochemical traits associated with grain yield in wheat under terminal heat stress

Document Type : Research Paper

Authors

1 Graduated Ph. D., Dept. of Plant Breeding and Biotechnology, Faculty of Agriculture, University of Zabol, Zabol, Iran (current adderess: Dept. of Agriculture, Payam-e-Noor University, Tehran, Iran)

2 Assoc. Prof., Dept. of Plant Breeding and Biotechnology, Faculty of Agriculture, University of Zabol, Zabol, Iran

3 Prof., Dept. of Plant Breeding and Biotechnology, Faculty of Agriculture, University of Zabol, Zabol, Iran

4 Assist. Prof., Dept. of Plant Breeding and Biotechnology, Faculty of Agriculture, University of Zabol, Zabol, Iran

Abstract

To identify the genomic regionswith main, epistatic, and QTL×environment (Q×E) interaction effects for some of the physiological and biochemical traits of wheat, an experiment was conductedat Research Farm of Agricultural and Natural Resources Research Center of Sistan, Iran, in 2015-16 growing season. The experiment was carried outusing two alpha lattice designs with two replications under non-stress and terminal heat stress conditions.Plant materials were 167 recombinant inbred lines andtheir parents (‘SeriM82’and ‘Babax’) andsix traits including grain yield (GY), proline content(PRO), water soluble carbohydrates (WSC), maximum efficiency of photosystem II (Fv/Fm), cytoplasmic membrane stability (CMS) and chlorophyll content (CHL) were measured. QTL analysis was conducted by Mixed-Model basedcomposite interval mapping (MCIM) method. There were significant differences among the genotypes for all studied traits and transgressive segregations in both directions were also observed. Using mixed linear model,a total of 23 main-effect QTLs were detected. The Q×E interaction was significant in five main-effect QTLs and two epistatic QTLs were also detectedfor studied traits. The most of mapped QTLsappear to be quite stable. Therefore, can be used in marker-assisted selection (MAS) in order to produce high-performance and heat tolerant wheat genotypes.

Keywords


Ayoub, M., Armstrong, E., Bridger, G., Fortin, M. G. and Mather, D. E. 2003. Marker-based selection in barley for a QTL region affecting alpha amylase activity of malt. Crop Science 43: 556-561.##Azadi, A., Mardi, M., Majidi Hervan, E., Mohammadi, S. A., Moradi, F., Tabatabaee, M. T., Pirseyedi, S. M., Ebrahimi, M., Fayaz, F., Kazemi, M., Ashkani, S., Nakhoda, B. and Mohammadi Nejad, G. 2014. QTL mapping of yield and yield components under normal and salt-stress conditions in bread wheat (Triticum aestivum L.). Plant Molecular Biology Reporter 33: 102-120.##Azam, F., Chang, X. and Jing, R. 2015. Mapping QTL for chlorophyll fluorescence kinetics parameters at seedling stage as indicators of heat tolerance in wheat. Euphytica 202: 245-258.##Baker, N. R. and Rosengvist, E. 2004. Applications of chlorophyll fluorescence can improve cropproduction strategies: An examination of future possibilities. Journal of Experimental Botany55: 1607-1621.##Barnabas, B., Jager, K. and Feher, A. 2008. The effect of drought and heat stress on reproductive processes in cereals. Plant Cell Environment 31: 11-38.##Bates, I. S., Waldem, R. P. and Teare, I. D. 1973. Rapid determination of free proline for water stress studies. Plant and Soil 39: 205-207.##Bennett, D., Izanloo, A., Reynolds, M., Kuchel, H., Langridge, P. andSchnurbusch, T. 2012. Geneticdissection of grain yield andphysical grain quality in bread wheat (Triticum aestivum L.)underwater limited environments. Theoretical and Applied Genetics125: 255-271.##Campbell, B. T., Baenziger, P. S., Gill, K. S., Eskridge, K. M., Budak, H.,Erayman, M., Dweikat, I. and Yen, Y. 2003. Identification of QTLs andenvironmental interactions associated with agronomic traits on chromosome 3A of wheat.Crop Science43: 1493-1505.##Edae, E. A., Byrne, P. F., Manmathan, H., Haley, S. D., Moragues, M., Lopes, M. S. and Reynolds, M. P. 2013. Association mapping and nucleotide sequence variation in five drought tolerance candidate genes in spring wheat. Plant Genome 6: 1-13.##Fakheri, B. A. and Khalegh Babaki, A. 2014. Mapping genomic regions controlling physiological and morphological traits associated with seedling stage of bread wheat under normal and osmotic stress conditions. Iranian Journal of Field Crop Science 45:119-133. (In Persian with English Abstract).##Gupta, M., Chawla, V., Garg, P., Yadav, N., Munjal, R. and Sharma, B. 2015. Genetic analysis of yield and heat stress related traits in wheat (Triticum aestivum L) using microsatellite markers. Journal of Applied and Natural Science 7 (2): 739-744.##Gupta, P. K., Balyan, H. S., Kulwal, P. L., Kumar, N., Kumar, A., Mir, R. R, Muhan, A. and Kumar, J. 2007.QTL analysis for some quantitative traits in bread wheat. Journal of Zhejiang UniversityScience B 8: 807-814.##Jalal Kamali, M. R. and Duveiller, E. 2008. Wheat production and research in Iran: A success story. International Symposium onWheat Yield Potential: Challenges to International Wheat Breeding.Mexico, D.F. CIMMYT.##Lincoln, S., Daly, M. and Lander, E. 1992. Constructing genetics maps with MAPMAKER/EXP3.0. Whitehead Institute Technical Report, Whitehead Institute, Cambridge.##Lopes, M. S., Reynolds, M. P., McIntyre, C. L., Mathews, K. L., Jalal Kamali, M. R., Mossad, M.,Feltaous, Y., Tahir, I. S. A., Chatrath, R., Ogbonnaya, F. and Baum, M. 2013. QTL for yield and associated traits inthe Seri/Babax population grown across several environments in Mexico,inthe West Asia, North Africa, and South Asia regions. Theoretical and Applied Genetics126: 971-984.##Mahdinejad, N. 2014.Mapping genomic regions of physiological and morphological traits of wheat under salinity conditions.Ph.D. Dissertation, University of Tehran, Iran. (In Persian).##Mason, R. E., Mondal, S., Beecher, F. W., Pacheco, A., Jampala, B., Ibrahim, A. M. and Hays, D. B. 2010. QTL associated with heat susceptibility index in wheat (Triticum aestivum L.) under short-term reproductive stage heat stress. Euphytica 174: 423-436.##McIntyre, C. L., Mathews, K. L., Rattey, A., Chapman, S. C., Drenth, J., Ghaderi, M., Reynolds, M. P. and Shorter, R. 2010. Moleculardetection of genomic regions associated with grain yield evaluatedunder irrigated and rainfed conditions. Theoretical and Applied Genetics 120:527-541.##Nyquist, W.E. 1991. Estimation of heritability and prediction of selection response in plant populations. Critical Reviews in Plant Sciences 10: 235-322.##Olivares Villegas, J. J., Reynolds, M. P. and McDonald, G. K. 2007. Drought adaptive attributes in the Seri/Babax hexaploid wheat population. Functional Plant Bioliology 34: 189-203.##Panse, V. G. 1957. Genetics of quantitative characters in relation to plant breeding. Indian Journal of Genetics 17: 317-328.##Pinto, R. S., Reynolds, M. P., Mathews, K. L., McIntyre, C. L., Olivares Villegas, J. J. and Chapman, S. C.2010. Heat and drought adaptiveQTL in a wheat population designed to minimizeconfounding agronomiceffects. Theoretical and Applied Genetics121: 1001-1021.##Rahman, M. A., Chikushi, J., Yoshida, S. and Karim, A. J. M. S. 2009. Growth and yield components of wheat genotypes exposed to high temperature stress under control environment. Bangladesh Journal of Agricultural Research 34: 361-372.##Rane, J. and Nagarajan, S. 2004. High temperature index for field evaluation of heat tolerance in wheatcultivars. Agricultural Systems 79: 243-255.##Reynolds, M. P., Ortiz Monasterio, J. I. and McNab, A. 2001. Application of physiology in wheat breeding. Mexico, D.F., CIMMYT.##Rizza, F., Crossatti, C., Stancan, M. and Cattevelli, L. 1994. Studies for assessingthe influences ofhardening on cold tolerance of barley genotypes. Euphytica75: 131-138.##Tahmasebi, S., Heidari, B., Pakniyat, H. and McIntyre, C. L. 2016. Mapping QTLs associated with agronomic and physiological traits under drought and terminal- heat stress conditions in wheat (Triticum aestivum L.). Genome 60 (1): 26-45.##Talukder, S. K., Babar, M. A., Vijayalakshmi, K., Poland, J., Prasad, P. V. V., Bowden, R. and Fritz, A. 2014. Mapping QTL for the traits associated with heat tolerance in wheat (Triticum aestivum L.). MBC Genetics 1597: 1-13.##Teulat, B., Borries, C. and This, D. 2001. New QTLs identified for plant water status, water-soluble carbohydrate and osmotic adjustment in a barley population grown in a growth chamber under two water regimes. Theoretical and Applied Genetics 103: 161-170.##Vijendra Das, L. D. 2000. Problem facing plant breeding. CBS Publishers. 896 p.##Yadava, U. 1989. A rapid and nondestructive method to determine chlorophyll in intact leaves. Horticultural Science 21: 1449-1450.##Yang, J., Hu, C., Hu, H., Yu, R., Xia, Z., Ye, X. and Zhu, J. 2008. QTLNetwork: Mapping and visualizinggenetic architecture of complex traits in experimental populations. Bioinformatics 24 (5): 721-723.##Yemen, E. W. and Willis, A. J. 1954. The estimation of carbohydrates in plant extracted by anthrone. BiochemicalJournal57: 508-514.