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Unconditional and conditional QTL mapping for the developmental behavior of tiller number in rice (Oryza sativa L.)

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Abstract

A single segment substitution population of 26 lines and their recipient parent Hua-jing-xian 74 (HJX74) were selected as experimental materials for analyzing the developmental behavior of tiller number in rice. By the unconditional QTL (quantitative trait locus) mapping method, a total number of 14 SSSLs were detected with QTLs controlling rice tiller number. The number of QTLs significantly affecting tiller number and their effect values estimated differed across measuring stages. More QTLs could be detected based on time-dependent measures of different stages. By the conditional QTL mapping method, it is possible to reveal net expression of gene in a time interval. 14 QTLs on tiller number expressed their effects in dynamic patterns of themselves during whole ontogeny. They exhibited mainly negative effects within 7 days after transplanting. During 7–21 days, QTLs were in active status and expressed larger positive effects. In the mid-period of 21–35 days, they had opposite genetic effects to wither tillers. Since then these QTLs expressed positive effects again to cause the appearance of noneffective tillers. The dynamics of QTL effects was in agreement with the actual change of tillers. Mapping QTL combining unconditional with conditional analysis for time-dependent measures is helpful to understand roundly the genetic bases for the development of quantitative traits.

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Acknowledgments

This research was supported by State Key Laboratory of Crop Genetics and Gemplasm Enhancement Open Foundation,Nanjing Agricultural University, China (ZW2007001) and.by the key projects of National Natural Science Foundation of China (30870074).

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Authors and Affiliations

  1. Guangdong Key Lab of Plant Molecular Breeding, South China Agricultural University, Guangzhou, 510642, People’s Republic of China

    Guifu Liu, Haitao Zhu, Ruizhen Zeng, Zemin Zhang, Wentao Li, Xiaohua Ding, Fangming Zhao & Guiquan Zhang

  2. Chinese Academy of Agricultural Mechanization Sciences, Beijing, 100083, People’s Republic of China

    Shuwen Liu

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  1. Guifu Liu
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  2. Haitao Zhu
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  3. Shuwen Liu
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  4. Ruizhen Zeng
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  5. Zemin Zhang
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  6. Wentao Li
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  7. Xiaohua Ding
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  8. Fangming Zhao
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  9. Guiquan Zhang
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Correspondence to Guiquan Zhang.

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The authors Guifu Liu and Haitao Zhu contributed equally to this work.

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Liu, G., Zhu, H., Liu, S. et al. Unconditional and conditional QTL mapping for the developmental behavior of tiller number in rice (Oryza sativa L.). Genetica 138, 885–893 (2010). https://doi.org/10.1007/s10709-010-9471-y

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  • DOI: https://doi.org/10.1007/s10709-010-9471-y

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