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Construction of an integrative linkage map and QTL mapping of grain yield-related traits using three related wheat RIL populations

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Abstract

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A novel high-density consensus wheat genetic map was obtained based on three related RIL populations, and the important chromosomal regions affecting yield and related traits were specified.

Abstract

A prerequisite for mapping quantitative trait locus (QTL) is to build a genetic linkage map. In this study, three recombinant inbred line populations (represented by WL, WY, and WJ) sharing one common parental line were used for map construction and subsequently for QTL detection of yield-related traits. PCR-based and diversity arrays technology markers were screened in the three populations. The integrated genetic map contains 1,127 marker loci, which span 2,976.75 cM for the whole genome, 985.93 cM for the A genome, 922.16 cM for the B genome, and 1,068.65 cM for the D genome. Phenotypic values were evaluated in four environments for populations WY and WJ, but three environments for population WL. Individual and combined phenotypic values across environments were used for QTL detection. A total of 165 putative additive QTL were identified, 22 of which showed significant additive-by-environment interaction effects. A total of 65 QTL (51.5 %) were stable across environments, and 23 of these (35.4 %) were common stable QTL that were identified in at least two populations. Notably, QTkw-5B.1, QTkw-6A.2, and QTkw-7B.1 were common major stable QTL in at least two populations, exhibiting 11.28–16.06, 5.64–18.69, and 6.76–21.16 % of the phenotypic variance, respectively. Genetic relationships between kernel dimensions and kernel weight and between yield components and yield were evaluated. Moreover, QTL or regions that commonly interact across genetic backgrounds were discussed by comparing the results of the present study with those of previous similar studies. The present study provides useful information for marker-assisted selection in breeding wheat varieties with high yield.

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Abbreviations

TKW:

Thousand-kernel weight

KL :

Kernel length

KW:

Kernel width

KNPS:

Kernel number per spike

SNPP:

Spike number per plant

KWPP:

Kernel weight per plant

WL:

Recombinant inbred line population derived from the cross between Weimai 8 and Luohan 2

WY:

Recombinant inbred line population derived from the cross between Weimai 8 and Yannong 19

WJ:

Recombinant inbred line population derived from the cross between Weimai 8 and Jimai 20

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Acknowledgments

This research was supported by the National 863 Plans Projects of China (Grant No. 2011AA100103) and National Natural Science Foundation of China (Grant No. 30971765). The authors thank Prof. Sishen Li, College of Agronomy, Shandong Agricultural University, Taian, China, for kindly providing EST-SSR markers.

Conflict of interest

The authors declare that they have no conflict of interest.

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Authors and Affiliations

  1. State Key Laboratory of Crop Biology, Shandong Key Laboratory of Crop Biology, Tai’an Subcenter of National Wheat Improvement Center, College of Agronomy, Shandong Agricultural University, Tai’an, 271018, China

    Fa Cui, Chunhua Zhao, Anming Ding, Jun Li, Lin Wang, Xingfeng Li, Yinguang Bao & Honggang Wang

  2. Center for Agricultural Resources Research, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Shijiazhuang, 050021, Hebei, China

    Fa Cui & Junming Li

  3. Municipal Academy of Agricultural Sciences, Ji’ning, 272031, Shandong, China

    Lin Wang

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  1. Fa Cui
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  2. Chunhua Zhao
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  3. Anming Ding
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  4. Jun Li
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  5. Lin Wang
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  9. Honggang Wang
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Corresponding author

Correspondence to Honggang Wang.

Additional information

Communicated by J. Wang.

F. Cui and C. Zhao contributed equally to this work.

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Cui, F., Zhao, C., Ding, A. et al. Construction of an integrative linkage map and QTL mapping of grain yield-related traits using three related wheat RIL populations. Theor Appl Genet 127, 659–675 (2014). https://doi.org/10.1007/s00122-013-2249-8

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