QTL mapping of bread wheat (Triticum aestivum L.) grown under controlled conditions of an agroecobiological testing ground

被引:5
|
作者
Chesnokov, Yu. V. [1 ,2 ]
Mirskaya, G. V. [1 ]
Kanash, E. V. [1 ]
Kocherina, N. V. [2 ]
Lohwasser, U. [3 ]
Borner, A. [3 ]
机构
[1] Agrophys Res Inst, St Petersburg 195220, Russia
[2] Vavilov Inst Plant Genet Resources, St Petersburg 190000, Russia
[3] Leibniz Inst Pflanzengenet & Kulturpflanzenforsch, D-06466 Gatersleben, Germany
基金
俄罗斯基础研究基金会;
关键词
Triticum aestivum; agronomically important traits; QTL mapping; controlled conditions of agroecobiological testing ground; genotype-environment" interaction; genome structure; QUANTITATIVE TRAITS; HEXAPLOID WHEAT; GENETIC-CONTROL; NITROGEN USE; STRIPE RUST; LOCI; RESISTANCE; YIELD; CHARACTERS; QUALITY;
D O I
10.1134/S1021443716060029
中图分类号
Q94 [植物学];
学科分类号
071001 ;
摘要
To determine the effects of physiological and genetic interaction between the genotype and environment, QTL (quantitative trait loci) mapping of valuable traits of bread wheat (Triticum aestivum L.) manifesting under controlled conditions of an agroecobiological testing ground has been first carried out. In the course of two experiments, differing from each other only by temperature and illumination regimes and providing the strict control and invariability of other growing parameters, 99 QTLs determining 30 different agronomically important traits have been identified. According to the results of the QTL mapping and a single-factor ANOVA, changes in the temperature and illumination regimes did not influence 21 of 30 studied traits, which remained stable in their manifestation; only nine traits varied under these conditions, which indicates that their manifestation is dependent on changes in these environmental factors. Both statistical approaches used in this study demonstrated complementary results; for each of them, the maximum likelihood criterion was used, statistical significance was determined, and significance of results was evaluated. The significance of a correlation between the identified QTLs and the polymorphism of individual traits studied was assessed using the threshold value of LOD (logarithm of odds) score. In addition, QTL analysis allowed a block structure of the T. aestivum genome to be revealed, the percentage of a phenotypic variability determined by each of the identified QTLs to be calculated, and the determination of which of the parents donated individual QTL alleles. The obtained results can be used for the further study of the physiological and genetic mechanisms of realization of traits evaluated within the framework of the "genotype-environment" interaction and also for the marker-assisted breeding of wheat.
引用
收藏
页码:48 / 58
页数:11
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