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Exploiting induced variation to dissect quantitative traits in barley

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Druka, A., Franckowiak, J., Lundqvist, U., Bonar, N., Alexander, J., Guzy-Wrobelska, J., Ramsay, L., Druka, I., Grant, I., Macaulay, M., Vendramin, V., Shahinnia, F., Radovic, S., Houston, K., Harrap, D., Cardle, L., Marshall, D., Morgante, M., Stein, N. and Waugh, R. (2010) Exploiting induced variation to dissect quantitative traits in barley. Biochemical Society Transactions, 38 (2). pp. 683-688.

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Article Link(s): https://doi.org/10.1042/BST0380683

Publisher URL: http://www.biochemsoctrans.org/content/ppbiost/38/2/683.full.pdf

Abstract

The identification of genes underlying complex quantitative traits such as grain yield by means of conventional genetic analysis (positional cloning) requires the development of several large mapping populations. However, it is possible that phenotypically related, butmore extreme, allelic variants generated by mutational studies could provide a means for more efficient cloning of QTLs (quantitative trait loci). In barley (Hordeum vulgare), with the development of high-throughput genome analysis tools, efficient genome-wide identification of genetic loci harbouring mutant alleles has recently become possible. Genotypic data from NILs (near-isogenic lines) that carry induced or natural variants of genes that control aspects of plant development can be compared with the location of QTLs to potentially identify candidate genes for development-related traits such as grain yield. As yield itself can be divided into a number of allometric component traits such as tillers per plant, kernels per spike and kernel size, mutant alleles that both affect these traits and are located within the confidence intervals for major yield QTLs may represent extreme variants of the underlying genes. In addition, the development of detailed comparative genomic models based on the alignment of a high-density barley gene map with the rice and sorghum physical maps, has enabled an informed prioritization of 'known function' genes as candidates for both QTLs and induced mutant genes. ©The Authors.

Item Type:Article
Business groups:Crop and Food Science
Keywords:Barley Induced mutant Near-isogenic line Positional cloning Quantitative trait locus (QTL) allometry gene function gene identification gene mapping gene mutation genetic analysis genetic variability genome analysis genotype grain yield molecular cloning near isogenic line nonhuman plant development plant genetics population size priority journal quantitative trait locus review rice sorghum biological model genetics methodology mutagenesis physiology quantitative trait transgenic plant Hordeum Hordeum vulgare Cloning, Molecular Models, Biological Models, Genetic Plants, Genetically Modified Quantitative Trait Loci Quantitative Trait, Heritable
Subjects:Science > Botany > Genetics
Plant culture > Field crops > Barley
Deposited On:17 Jan 2023 04:33
Last Modified:17 Jan 2023 04:33

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