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Front Plant Sci. 2018 Oct 11;9:1484. doi: 10.3389/fpls.2018.01484. eCollection 2018.

QTL Detection for Kernel Size and Weight in Bread Wheat (Triticum aestivum L.) Using a High-Density SNP and SSR-Based Linkage Map.

Su Q1,2, Zhang X1,2, Zhang W3, Zhang N1,4, Song L1,4, Liu L1, Xue X5, Liu G5, Liu J1,2, Meng D1,2, Zhi L1, Ji J1,4, Zhao X4, Yang C5, Tong Y4, Liu Z4, Li J1,4.

Author information

1
Center for Agricultural Resources Research, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Shijiazhuang, China.
2
The College of Life Science, University of Chinese Academy of Sciences, Beijing, China.
3
College of Biology and Engineering, Hebei University of Economics and Business, Shijiazhuang, China.
4
State Key Laboratory of Plant Cell and Chromosome Engineering, Chinese Academy of Sciences, Beijing, China.
5
Anyang Academy of Agricultural Sciences, Anyang, China.

Abstract

High-density genetic linkage maps are essential for precise mapping quantitative trait loci (QTL) in wheat (Triticum aestivum L.). In this study, a high-density genetic linkage map consisted of 6312 SNP and SSR markers was developed to identify QTL controlling kernel size and weight, based on a recombinant inbred line (RIL) population derived from the cross of Shixin828 and Kenong2007. Seventy-eight putative QTL for kernel length (KL), kernel width (KW), kernel diameter ratio (KDR), and thousand kernel weight (TKW) were detected over eight environments by inclusive composite interval mapping (ICIM). Of these, six stable QTL were identified in more than four environments, including two for KL (qKL-2D and qKL-6B.2), one for KW (qKW-2D.1), one for KDR (qKDR-2D.1) and two for TKW (qTKW-5A and qTKW-5B.2). Unconditional and multivariable conditional QTL mapping for TKW with respect to TKW component (TKWC) revealed that kernel dimensions played an important role in regulating the kernel weight. Seven QTL-rich genetic regions including seventeen QTL were found on chromosomes 1A (2), 2D, 3A, 4B and 5B (2) exhibiting pleiotropic effects. In particular, clusters on chromosomes 2D and 5B possessing significant QTL for kernel-related traits were highlighted. Markers tightly linked to these QTL or clusters will eventually facilitate further studies for fine mapping, candidate gene discovery and marker-assisted selection (MAS) in wheat breeding.

KEYWORDS:

QTL; SNP; SSR; Triticum aestivum; kernel traits; linkage analysis

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