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

Qiannan Su,Lei Liu,Jun Ji,Zhiyong Liu,Chunling Yang,Liya Zhi,Xilan Zhang,Guotao Liu,Xueqiang Zhao,Deyuan Meng,Xin Xue,Liqiang Song,Jiajia Liu,Na Zhang,Junming Li,Wei Zhang,Yiping Tong

doi:10.3389/fpls.2018.01484

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.

Highlights

Bread wheat (Triticum aestivum L.) is one of the leading cereal crops worldwide, which plays a crucial role in sustaining food security
After removing ambiguous and unlinked markers, a genetic linkage map with 6312 markers was constructed, which was within 2672 unique loci, spanning 3049.4 cM in length with an average marker density of 1.1 cM/locus, covering 21 wheat chromosomes (Table 1, Supplementary Table S2, and Supplementary Figure S1)
The results of conditional quantitative trait loci (QTL) mapping in the present study indicated that qTKW-5B.2 was entirely explained by kernel length (KL) and partially contributed by kernel width (KW) (Table 5)

Summary

Introduction

Bread wheat (Triticum aestivum L.) is one of the leading cereal crops worldwide, which plays a crucial role in sustaining food security. The genetic improvement of three yield components, i.e., productive spikes per unit area, kernel number per spike and kernel weight, contributed a great deal to the increase of wheat yield level and alleviation of food crisis in the last decades (Sayre et al, 1997). Thousand kernel weight (TKW) of Chinese wheat mini core collection (262 accessions) increased from a mean 31.5 g in 1940s to 44.64 g in 2000s, representing a 2.19 g increase in each decade (Wang L. et al, 2012). Kernel size traits usually contribute to yield by affecting the TKW and can be associated with milling and processing (Osborne and Anderssen, 2003). Improving kernel weight and size is a prime breeding target for wheat yield potential and end use quality

Methods

Results

Discussion

Conclusion