Characterization of a cell wall invertase gene TaCwi-A1 on common wheat chromosome 2A and development of functional markers
- 1.1k Downloads
Cell wall invertase (CWI) is a critical enzyme for sink tissue development and carbon partition, and has a high association with kernel weight. Characterization of Cwi genes and development of functional markers are of importance for marker-assisted selection in wheat breeding. In the present study, the full-length genomic DNA sequence of a Cwi gene located on wheat chromosome 2A, designated TaCwi-A1, was characterized by in silico cloning and experimental validation. TaCwi-A1 comprises seven exons and six introns, with 3,676 bp in total, and an open reading frame (ORF) of 1,767 bp. A pair of complementary dominant markers, CWI21 and CWI22, was developed based on allelic variations at the TaCwi-A1 locus. A 404-bp PCR fragment was amplified by CWI21 in varieties with lower kernel weights, whereas a 402-bp fragment was generated by CWI22 in the varieties with higher kernel weights. The markers CWI21 and CWI22 were located on chromosome 2AL using a F2:3 population from a cross Doumai/Shi 4185, and a set of Chinese Spring nullisomic–tetrasomic lines. They were linked to the SSR locus Xbarc15-2AL with a genetic distance of 10.9 cM. QTL analysis indicated that TaCwi-A1 could explain 4.8% of phenotypic variance for kernel weight over 2 years. Two sets of Chinese landraces and two sets of commercial wheat varieties were used to validate the association of CWI21 and CWI22 with kernel weight. The results indicated that the functional markers CWI21 and CWI22 were closely related to kernel weight and could be used in wheat breeding for improving grain yield.
KeywordsAllelic variation Cwi gene Kernel weight QTL Triticum aestivum
The authors are very grateful to Prof. Robert McIntosh, Plant Breeding Institute, University of Sydney, for reviewing this manuscript. This study was supported by the National Basic Research Program (2009CB118300), the National Science Foundation of China (30830072), National 863 Program (2006AA10Z1A7 and 2006AA100102), International Collaboration Project from the Ministry of Agriculture (2006-G2), and an earmarked fund for the Modern Agro-industry Technology Research System.
- Bergman J (2001) The functions of introns: from junk DNA to designed DNA. Perspect Sci Chris Faith 53:170–178Google Scholar
- Collaku A (1989) Analysis of the structure of correlations between yield and some quantitative traits in bread wheat. Buletini i Shkencave Bujqësore 28:137–144Google Scholar
- Copenald L (1990) Enzyme of sucrose metabolism. Methods Plant Biochem 3:73–85Google Scholar
- Kumbhar MB, Larik AS, Hafiz HMI, Rind MJ (1983) Interrelationship of polygenic traits affecting grain yield in Triticum aestivum L. Wheat Inf Serv 57:42–45Google Scholar
- Quarrie SA, Steed A, Calestani C, Semikhodskii A, Lebreton C, Chinoy C (2005) A high-density genetic map of hexaploid wheat (Triticum aestivum L.) from the cross Chinese Spring × SQ1 and its uses to compare QTLs for grain yield across a range of environments. Theor Appl Genet 110:865–880PubMedCrossRefGoogle Scholar
- Tian JC, Deng ZY, Hu RB, Wang YX (2006) Yield components of super wheat cultivars with different types and the path coefficient analysis on grain yield. Acta Agron Sin 32:1699–1705Google Scholar
- Wang S, Basten CJ, Zeng ZB (2005) Windows QTL cartographer 2.5. Department of Statistics, North Carolina State University. http://statgen.ncsu.edu/qtlcart/WQTLCart.htm