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Dynamic and comparative QTL analysis for plant height in different developmental stages of Brassica napus L.

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This report describes a dynamic QTL analysis for plant height at various stages using a large doubled haploid population and performs a QTL comparison between different populations in Brassica napus.

Abstract

Plant height (PH) not only plays an important role in determining plant architecture, but is also an important character related to yield. The process of determining PH occurs through a series of steps; however, no studies have focused on developmental behavior factors affecting PH in Brassica napus. In the present study, KN DH, a large doubled haploid population containing 348 lines was used for a dynamic quantitative trait locus (QTL) analysis for PH in six experiments. In all, 20 QTLs were identified at maturity, whereas 50 QTLs were detected by conditional m apping method and the same number was identified by unconditional mapping strategies. Interestingly, five unconditional QTLs ucPH.A2-2, ucPH.A3-2, ucPH.C5-1, ucPH.C6-2 and ucPH.C6-3 were identified that were consistent over the all growth stages of one or two particular experiments, and one conditional QTL cPH.A2-3 was expressed throughout the entire growth process in one experiment. A total of 70 QTLs were obtained after combining QTLs identified at maturity, by conditional and unconditional mapping strategies, in which 25 showed opposite genetic effects in different periods/stages and experiments. A consensus map containing 1357 markers was constructed to compare QTLs identified in the KN population with five previously mapped populations. Alignment of the QTLs detected in different populations onto the consensus map showed that 27 were repeatedly detected in different genetic backgrounds. These findings will enhance our understanding of the genetic control of PH regulation in B. napus, and will be useful for rapeseed genetic manipulation through molecular marker-assisted selection.

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Acknowledgments

The work was supported by the National Basic Research Program of China (2015CB150205), the International Cooperation in Science and Technology Projects (2014DFA32210), Jiangsu Agriculture Science and Technology Innovation Fund (CX(11)4009) and the New Century Talents Support Program of the Ministry of Education of China (NCET110172). We give our thanks to Professor Yuanming Zhang of Nanjing Agricultural University for kindly provided the software package SEA-G3DH.

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The authors declare that they have no conflict of interest.

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The authors declare that the experiments comply with the current laws of the country in which they were performed.

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    Authors and Affiliations

    1. College of Life Science and Technology, Key Laboratory of Molecular Biology, Physics of Ministry of Education, Huazhong University of Science and Technology, Wuhan, 430074, China

      Xiaodong Wang, Li Chen, Hongbo Chao & Maoteng Li

    2. Hybrid Rapeseed Research Center of Shaanxi Province, Shaanxi Rapeseed Branch of National Centre for Oil Crops Genetic Improvement, Dali, 715105, China

      Hao Wang, Yajun Zhao, Jianhua Tian, Weiguo Zhao & Baojun Li

    3. Key Laboratory of Cotton and Rapeseed, Ministry of Agriculture, Institute of Industrial Crops, Jiangsu Academy of Agricultural Sciences, Nanjing, 210014, China

      Xiaodong Wang

    4. Institute of Biotechnology, Chinese Academy of Agricultural Sciences, Beijing, 100081, China

      Yan Long

    5. College of Agronomy and Biotechnology, Southwest University, Chongqing, 400716, China

      Liezhao Liu

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    1. Xiaodong Wang
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    Correspondence to Maoteng Li.

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    Communicated by I. Parkin.

    X. Wang and H. Wang contributed equally to this work.

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    Wang, X., Wang, H., Long, Y. et al. Dynamic and comparative QTL analysis for plant height in different developmental stages of Brassica napus L.. Theor Appl Genet 128, 1175–1192 (2015). https://doi.org/10.1007/s00122-015-2498-9

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