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Quantitative trait loci detection for three tiller-related traits and the effects on wheat (Triticum aestivum L.) yields

文献类型： 外文期刊

作者： Cai, Yibiao 1 ; Zhou, Xiaohan 1 ; Wang, Chenyang 1 ; Liu, Aifeng 2 ; Sun, Zhencang 3 ; Li, Shihui 1 ; Shi, Xinyao 1 ; Yang, Shuang 1 ; Guan, Yuxiang 1 ; Cheng, Jiajia 1 ; Wu, Yongzhen 1 ; Qin, Ran 1 ; Sun, Han 1 ; Zhao, Chunhua 1 ; Li, Junming 4 ; Cui, Fa 1 ;

作者机构： 1.Ludong Univ, Key Lab Mol Module Based Breeding High Yield & Abi, 186 Hongqizhong Rd, Yantai 264025, Shandong, Peoples R China

2.Shandong Acad Agr Sci, Crop Res Inst, Jinan 250100, Peoples R China

3.Jingbo Agrochem Technol Co Ltd, Binzhou 256500, Peoples R China

4.Hebei Normal Univ, Coll Life Sci, Hebei Collaborat Innovat Ctr Cell Signaling, Minist Educ,Key Lab Mol & Cellular Biol,Hebei Key, Shijiazhuang 050024, Peoples R China

期刊名称：THEORETICAL AND APPLIED GENETICS （ 影响因子：5.4； 五年影响因子：5.7 ）

ISSN： 0040-5752

年卷期： 2024 年 137 卷 4 期

页码：

收录情况： SCI

摘要： Tiller-related traits play an important role in determining the yield potential of wheat. Therefore, it is important to elucidate the genetic basis for tiller number when attempting to use genetic improvement as a tool for enhancing wheat yields. In this study, a quantitative trait locus (QTL) analysis of three tiller-related traits was performed on the recombinant inbred lines (RILs) of a mapping population, referred to as KJ-RILs, that was derived from a cross between the Kenong 9204 (KN9204) and Jing 411 (J411) lines. A total of 38 putative additive QTLs and 55 pairwise putative epistatic QTLs for spike number per plant (SNPP), maximum tiller number (MTN), and ear-bearing tiller rate (EBTR) were detected in eight different environments. Among these QTLs with additive effects, three major and stable QTLs were first documented herein. Almost all but two pairwise epistatic QTLs showed minor interaction effects accounting for no more than 3.0% of the phenotypic variance. The genetic effects of two colocated major and stable QTLs, i.e., qSnpp-KJ-5D.1 and qMtn-KJ-5D, for yield-related traits were characterized. The breeding selection effect of the beneficial allele for the two QTLs was characterized, and its genetic effects on yield-related traits were evaluated. The candidate genes underlying qMtn-KJ-5D were predicted based on multi-omics data, and TraesKN5D01HG00080 was identified as a likely candidate gene. Overall, our results will help elucidate the genetic architecture of tiller-related traits and can be used to develop novel wheat varieties with high yields.

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