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. 2018 Mar 15:9:333.
doi: 10.3389/fpls.2018.00333. eCollection 2018.

Utilization of a Wheat55K SNP Array for Mapping of Major QTL for Temporal Expression of the Tiller Number

Tianheng Ren  1 , Yangshan Hu  2 , Yingzi Tang  1 , Chunsheng Li  1 , Benju Yan  2 , Zhenglong Ren  1 , Feiquan Tan  1 , Zongxiang Tang  1 , Shulan Fu  1 , Zhi Li  2
Affiliations

Utilization of a Wheat55K SNP Array for Mapping of Major QTL for Temporal Expression of the Tiller Number

Tianheng Ren et al. Front Plant Sci. .

Abstract

Maximum tiller number and productive tiller number are important traits for wheat grain yield, but research involving the temporal expression of tiller number at different quantitative trait loci (QTL) levels is limited. In the present study, a population set of 371 recombined inbred lines derived from a cross between Chuan-Nong18 and T1208 was used to construct a high-density genetic map using a Wheat55K SNP Array and to perform dynamic QTL analysis of the tiller number at four growth stages. A high-density genetic map containing 11,583 SNP markers and 59 SSR markers that spanned 4,513.95 cM and was distributed across 21 wheat chromosomes was constructed. A total of 28 single environmental QTL were identified in the recombined inbred lines population, and among these, seven QTL were stable and used for multi-environmental and dynamic analysis. These QTL were mapped to chromosomes 2D, 4A, 4D, 5A, 5D, and 7D, respectively. Each QTL explained 1.63-21.22% of the observed phenotypic variation, with an additive effect from -20.51 to 11.59. Dynamic analysis showed that cqTN-2D.2 can be detected at four growth stages of tillering, explaining 4.92-17.16% of the observed phenotypic variations and spanning 13.71 Mb (AX-109283238-AX-110544009: 82189047-95895626) according to the physical location of the flanking markers. The effects of the stable QTL were validated in the recombined inbred lines population, and the beneficial alleles could be utilized in future marker-assisted selection. Several candidate genes for MTN and PTN were predicted. The results provide a better understanding of the QTL selectively expressing the control of tiller number and will facilitate future map-based cloning. 9.17% SNP markers showed best hits to the Chinese Spring contigs. It was indicated that Wheat55K Array was efficient and valid to construct a high-density wheat genetic map.

Keywords: QTL; Triticum aestivum L.; Wheat55K SNP Array; genetic mapping; tiller number.

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Figures

FIGURE 1
FIGURE 1
Chromosomal locations of the seven stable QTL associated with TNES, TNPW, MTN, and PTN based on a 371 RIL population derived from a across between CN18 and T1208. QTL intervals were determined by LOD-2 from the peak. The putative QTL clusters were marked clearly on the chromosomes.
FIGURE 2
FIGURE 2
The dynamic QTL analysis for TN across four growth stages. Circles with different colors represent different QTL identified by combined QTL analysis. The value below each circle represents the additive effect of corresponding QTL. The value at the top of each column represents the average tiller number across the RIL population between 2 years. TNES, TNPW, MTN, and PTN represent the different growth stages of tillering.
See this image and copyright information in PMC

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