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Dynamic QTL and epistasis analysis on seedling root traits in upland cotton

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Abstract

Roots are involved in acquisition of water and nutrients, as well as in providing structural support to plant. The root system provides a dynamic model for developmental analysis. Here, we investigated quantitative trait loci (QTL), dynamic conditional QTL and epistatic interactions for seedling root traits using an upland cotton F2 population and a constructed genetic map. Totally, 37 QTLs for root traits, 35 dynamic conditional QTLs based on the net increased amount of root traits (root tips, forks, length, surface area and volume) (i) after transplanting 10 days compared to 5 days, and (ii) after transplanting 15 days to 10 days were detected. Obvious dynamic characteristic of QTL and dynamic conditional QTL existed at different developmental stages of root because QTL and dynamic conditional QTL had not been detected simultaneously. We further confirmed that additive and dominance effects of QTL qRSA-chr1-1 in interval time 5 to 10 DAT (days after transplant) offset the effects in 10 to 15 DAT. Lots of two-locus interactions for root traits were identified unconditionally or dynamically, and a few epistatic interactions were only detected simultaneously in interval time of 5–10 DAT and 10–15 DAT, suggesting different interactive genetic mechanisms on root development at different stages. Dynamic conditional QTL and epistasis effects provide new attempts to understand the dynamics of roots and provide clues for root architecture selection in upland cotton.

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Acknowledgments

This research was supported by a grant from the National High Technology Research and Development Programme (2011AA10A102) and a grant from the New Century Excellent Talents of the Ministry of Education (NCET-06-0106) to J. Hua.

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Authors and Affiliations

  1. College of Agronomy and Biotechnology, Key Laboratory of Crop Heterosis and Utilization of Ministry of Education, Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193, People’s Republic of China

    QINGZHI LIANG, PENGBO LI, CHENG HU, HUA HUA, ZHAOHU LI & JINPING HUA

  2. Xiangyang Academy of Agricultural Sciences, Xiangyang, Hubei, 441057, People’s Republic of China

    YIHUA RONG

  3. Cotton Research Institute, Chinese Academy of Agricultural Science, Anyang, Henan, 455112, People’s Republic of China

    KUNBO WANG

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  1. QINGZHI LIANG
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  2. PENGBO LI
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  3. CHENG HU
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  4. HUA HUA
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  5. ZHAOHU LI
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  8. JINPING HUA
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Correspondence to JINPING HUA.

Additional information

[Liang Q., Li P., Hu C., Hua H., Li Z., Rong Y., Wang K. and Hua J. 2014 Dynamic QTL and epistasis analysis on seedling root traits in upland cotton. J. Genet. 93, xx–xx]

Jinping Hua and Qingzhi Liang conceived and designed the experiments. Qingzhi Liang performed the experiments. Qingzhi Liang, Pengbo Li and Cheng Hu analysed the data. Qingzhi Liang and Hua Hua screened polymorphic primers. Jinping Hua and Zhaohu Li contributed reagents, materials and analysis tools. Qingzhi Liang and Jinping Hua wrote the paper. All the authors discussed the results and commented on the manuscript.

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LIANG, Q., LI, P., HU, C. et al. Dynamic QTL and epistasis analysis on seedling root traits in upland cotton. J Genet 93, 63–78 (2014). https://doi.org/10.1007/s12041-014-0341-8

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