Exploiting induced variation to dissect quantitative traits in barley

被引:3
作者
Druka, Arnis [1 ]
Franckowiak, Jerome [2 ]
Lundqvist, Udda [3 ]
Bonar, Nicola [1 ]
Alexander, Jill [1 ]
Guzy-Wrobelska, Justyna [4 ]
Ramsay, Luke [1 ]
Druka, Ilze [1 ]
Grant, Iain [1 ]
Macaulay, Malcolm [7 ]
Vendramin, Vera [5 ]
Shahinnia, Fahimeh [6 ]
Radovic, Slobodanka [5 ]
Houston, Kelly [1 ]
Harrap, David [1 ]
Cardle, Linda [7 ]
Marshall, David [1 ]
Morgante, Michele [8 ]
Stein, Nils [6 ]
Waugh, Robbie [7 ]
机构
[1] Scottish Crop Res Inst, Dundee DD2 5DA, Scotland
[2] Hermitage Res Stn, Warwick, Qld 4370, Australia
[3] Nord Genet Resource Ctr, SE-23053 Alnarp, Sweden
[4] Univ Silesia, Dept Genet, PL-40032 Katowice, Poland
[5] Univ Udine, Dept Agr & Environm Sci, I-33100 Udine, Italy
[6] Leibniz Inst Plant Genet & Crop Plant Res IPK, D-06466 Gatersleben, Germany
[7] KWS UK Ltd, Royston SG8 7RE, Herts, England
[8] Univ Udine, Appl Genom Inst, I-33100 Udine, Italy
关键词
barley; Induced mutant; near-isogenic line; positional cloning; quantitative Bait locus (QTL); HORDEUM-VULGARE; STEM RUST; RESISTANCE GENE; GENOME; EXPRESSION; IDENTIFICATION; SEQUENCES; MUTANTS; PROTEIN; WHEAT;
D O I
10.1042/BST0380683
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
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, but more extreme, allelic variants generated by mutational studies could provide a means for more efficient cloning of QTLs (quantitative trait loci). In barley (Hordeum vulgate), 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 INIILs (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.
引用
收藏
页码:683 / 688
页数:6
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