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Conditional and unconditional QTL mapping of drought-tolerance-related traits of wheat seedling using two related RIL populations

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Abstract

For discovering the quantitative trait loci (QTLs) contributing to early seedling growth and drought tolerance during germination, conditional and unconditional analyses of 12 traits of wheat seedlings: coleoptile length, seedling height, longest root length, root number, seedling fresh weight, stem and leaves fresh weight, root fresh weight, seedling dry weight, stem and leaves dry weight, root dry weight, root to shoot fresh weight ratio, root-to-shoot dry weight ratio, were conducted under two water conditions using two F8:9 recombinant inbred line (RIL) populations. The results of unconditional analysis are as follows: 88 QTLs accounting for 3.33–77.01% of the phenotypic variations were detected on chromosomes 1A, 1B, 1D, 2A, 2B, 2D, 3A, 3B, 4A, 4B, 4D, 5A, 5B, 5D, 6A, 6B, 6D, 7A, 7B and 7D. Among these QTLs, 19 were main-effect QTLs with a contribution rate greater than 10%. The results of the conditional QTL analysis of 12 traits under osmotic stress on normal water conditions were as follows: altogether 22 QTLs concerned with drought tolerance were detected on chromosomes 1B, 2A, 2B, 3B, 4A, 5D, 6A, 6D, 7B, and 7D. Of these QTLs, six were main-effect QTLs. These 22 QTLs were all special loci directly concerned with drought tolerance and most of them could not be detected by unconditional analysis. The finding of these QTLs has an important significance for fine-mapping technique, map-based cloning, and molecular marker-assisted selection of early seedling traits, such as growth and drought tolerance.

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Acknowledgements

This research was supported by the National Basic Research Programme of China (863 Programme, 2011AA100103) and Creation and Utilization of Agriculture-Biology Resource of Shandong Province, China.

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Authors and Affiliations

  1. State Key Laboratory of Crop Biology, Shandong Key Laboratory of Crop Biology, Taian Subcenter of National Wheat Improvement Center, College of Agronomy, Shandong Agricultural University, Taian, 271018, People’s Republic of China

    HONG ZHANG, FA CUI, JUN LI, ANMING DING, CHUNHUA ZHAO, YINGUANG BAO, QIUPING YANG & HONGGANG WANG

  2. Department of Agronomy, Dezhou University, Dezhou, 253023, People’s Republic of China

    HONG ZHANG

  3. Center for Agricultural Resources Research, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Shijiazhuang, 050021, Hebei, People’s Republic of China

    FA CUI

  4. Municipal Academy of Agricultural Sciences, Jining, 272031, Shandong, People’s Republic of China

    LIN WANG

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  1. HONG ZHANG
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Correspondence to HONGGANG WANG.

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[Zhang H., Cui F., Wang L., Li J., Ding A., Zhao C., Bao Y., Yang Q. and Wang H. 2013 Conditional and unconditional QTL mapping of drought-tolerance-related traits of wheat seedling using two related RIL populations. J. Genet. 92, xx–xx]

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ZHANG, H., CUI, F., WANG, L. et al. Conditional and unconditional QTL mapping of drought-tolerance-related traits of wheat seedling using two related RIL populations. J Genet 92, 213–231 (2013). https://doi.org/10.1007/s12041-013-0253-z

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