Abstract
Mutated genetic resources play an important role in gene/allele characterization. Currently, there are few hexaploid winter wheat mutated resources available. Here, we developed a hexaploid winter wheat resource by inducing mutations via EMS treatment by the single seed descent method. A broad mutation spectrum with high mutation frequency (∼19%) on phenotypic variations was identified. These mutations included spike, leaf and seed morphology, plant architecture, and heading date variations. To evaluate the efficiency of the resource for reverse genetic analysis, allelic variations in the TaAGP.L-B1 gene, encoding the AGPase large subunit, were screened by the TILLING approach. Four missense mutations were identified and one allele in line E3-1-3, resulted in an amino acid change predicated to have severe effects on gene function. The other three mutations were predicted to have no effect. Results of gene expression patterns and grain starch content demonstrated that the novel allele in E3-1-3 altered the function of TaAGP.L-B1. Our results indicated that this mutated genetic wheat resource contained broad spectrum phenotypic and genotypic variations, that may be useful for wheat improvement, gene discovery, and functional genomics.
Highlights
Genetic resources played a tremendous role in the first green revolution, providing dwarfing, disease resistance, and yield-improving genes (Hoisington et al, 1999)
Numerous SNPs and novel alleles have been targeted for gene characterization using functional genomics tools in model plants putatively useful for crop improvements (Hadrich et al, 2011; Hazard et al, 2012)
Winter wheat (Triticum aestivum L.) cultivar Jing411 was bred for high yield potential, cold tolerance, high tilling ability, and is frequently planted in the Northern winter wheat region in China
Summary
Genetic resources played a tremendous role in the first green revolution, providing dwarfing, disease resistance, and yield-improving genes (Hoisington et al, 1999). Many mutagenized populations have been created in several species such as soybean (Tsuda et al, 2015), rice (Wu et al, 2005; Till et al, 2007; Suzuki et al, 2008; Serrat et al, 2014), maize (Till et al, 2004), and sorghum (Xin et al, 2008) These resources have been used for novel gene/allele mining and morphological variation screening. Wheat is classified into diploid, tetraploid, and hexaploid wheat and further split into spring and winter wheat according to ploidy and growth habits It has genomic redundancy and a large genome size. Greater understanding of wheat morphology variation could lead to innovative mutant germplasm resources to ensure crop preservation
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