Genomic characterization of drought tolerance-related traits in spring wheat
- 898 Downloads
Drought tolerance was investigated in ‘C306’, one of the most drought tolerant wheat cultivars bred in India in the 1960’s. An intervarietal mapping population of recombinant inbred lines of the cross ‘C306’ × ‘HUW206’ was evaluated for drought tolerance components, namely potential quantum efficiency of photosystem (PS) II (Fv/Fm), chlorophyll content (Chl), flag leaf temperature (Lt), and grain yield per plant (Gyp) under stress. Three independent experiments were conducted under well-watered and water-stressed conditions in greenhouses and growth chambers at Kansas State University (USA). Five hundred and sixty microsatellite markers covering the entire genome were screened for polymorphism between the parents. A QTL (QLt.ksu-1D) for Lt (low flag leaf temperature under stress) on the short arm of chromosome 1D between markers Xbarc271 and Xgwm337 at LOD 3.5 explained 37% of the phenotypic variation. A QTL for Fv/Fm (QF v /F m .ksu-3B) and Chl (QChl.ksu-3B) controlling quantum efficiency of PS II and chlorophyll content under stress were co-localized on chromosome 3B in the marker interval Xbarc68–Xbarc101 and explained 35–40% of the phenotypic variation for each trait. A QTL (QGyp.ksu-4A) for Gyp on chromosome 4A at a LOD value of 3.2 explained 16.3% of the phenotypic variation. Inconsistent QTLs were observed for Fv/Fm on chromosomes 3A, 6A, 2B, 4B, and 4D; for Chl on 3A, 6A, 2B and 4B; and for Lt on 1A, 3A 6A, 3B and 5B. The identified QTLs give a first glimpse of the genetics of drought tolerance in C306 and need to be validated in field experiments using the marker-phenotype linkages reported here.
KeywordsChlorophyll content Chlorophyll fluorescence Leaf temperature Triticum aestivum QTL
This research was supported by the Ministry of Science and Technology, Government of India, Delhi, through a Better Opportunities for Young Scientists in Chosen Areas of Science and Technology (BOYSCAST) Fellowship to Dr. Sundeep Kumar for doing advanced research at the Wheat Genetic and Genomic Resources Center, Kansas State University. We also acknowledge a Coordinated Agricultural Project Grant (no. 2011–68002–30029, Triticeae-CAP) from the USDA National Institute of Food and Agriculture for partial financial support. We thank Duane Wilson and Jon Raupp for excellent technical assistance. This is contribution no. 12-256-J from the Kansas Agricultural Experiment Station, Manhattan, KS 66506-5502.
- Blum A (1988) Plant breeding for stress environments. CRC Press, Boca Raton, p 232Google Scholar
- Fleury D, Jefferies S, Kuchel, Langridge P (2010) Genetic and genomic tools to improve drought tolerance in wheat. J Exp Bot 61:3211–3222Google Scholar
- Inagaki MN, Nachit MM (2008). Visual monitoring of water deficit stress using infra-red thermography in wheat. In: Appels R et al (eds) Proc 11th Int Wheat Genet Symp, pp 181, Sydney University Press URL: http://hdl.handle.net/2123/3452
- Kumar S, Prasad LC, Kumar U, Tyagi K, Arun B, Joshi AK (2007) Inheritance and allelic relationship of resistance genes to spot blotch of wheat caused by Bipolaris sorokiniana. In: Buck HT, Nisi JE, Salomón N (eds) Developments in plant breeding vol 12: wheat production in stressed environments. Springer, The Netherlands, pp 113–118CrossRefGoogle Scholar
- Nachit MM, Monneveux P, Araus JL, Sorrells ME (1998) Relationship of dryland productivity and drought tolerance with some molecular markers for possible MAS in durum (T. turgidum L. var. durum). CIHEAM Opt Mediterr 1:203–206Google Scholar
- Ortiz R, Braun HJ, Crossa J, Crouch J et al (2008) Wheat genetic resources enhancement by the International Maize and Wheat Improvement Center (CIMMYT). Genetic Res Crop Evol 55:1140–1195Google Scholar
- Pradhan GP, Prasad PVV, Fritz AK, Kirkham MB, Gill BS (2012a) Response of Aegilops species to drought stress during reproductive stages of development. Funct Plant Biol 39:51–59Google Scholar
- SAS Institute (1988) SAS/Stat user’s guide. Release 6.03 ed. SAS Inst., Cary, NCGoogle Scholar
- Wang S, Basten CJ, Zeng ZB (2007) Windows QTL Cartographer, new version, Department of Statistics, North Carolina State University, Raliegh, N.C. (http://statgen.ncsu.edu/qtlcart/WQTLCart.htm)