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Rapid identification of consistent novel QTLs underlying long-juvenile trait in soybean by multiple genetic populations and genotyping-by-sequencing

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Abstract

Flowering time is an important factor that controls crop yield and latitudinal adaptation. Soybean is a facultative short-day (SD) plant, and cultivars that originate from temperate regions generally undergo a very short juvenile phase and early flowering when grown in low-latitude regions, thereby resulting in extremely low grain yield. However, introduction of the long-juvenile (LJ) trait, which extends the vegetative phase and improves yield under SD environments, has largely overcome this constraint and has enabled the expansion of soybean production to tropical regions. Quantitative trait locus (QTL) mapping is a fundamental approach to the identification of new loci related to LJ trait, while conventional strategy takes lots of time to verify the findings. Here, we provide a new strategy to rapidly identify consistent novel QTLs by using multiple genetic populations and genotyping-by-sequencing (GBS) approach. In this study, we developed six F2 populations and grew them under SD conditions. A total of seven QTLs related to the LJ trait were identified by integrating flowering time (R1) and high-density genetic maps. There were three consistent QTLs repeatedly detected in different populations and one of them has been previously reported, yet two are novel. This research not only provides fundamental resources for fine-mapping candidate genes associated to the LJ trait, but also provides new insights to QTL mapping.

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Acknowledgments

We would like to acknowledge Mrs. Yafeng Liu for phenotyping and managing the file.

Funding

This work was funded by the National Natural Science Foundation of China (31725021, 31701445, 31801384, 31771815); the National Key Research and Development Program (2016YFD0100400 and 2017YFE0111000); the Strategic Action Plan for Science and Technology Innovation of the Chinese Academy of Sciences (XDA08030108); and the Open Foundation of the Key Laboratory of Soybean Molecular Design Breeding, Chinese Academy of Sciences (Y3ZK111001).

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Author notes

  1. Chao Fang, Liyu Chen, Haiyang Nan, Lingping Kong, and Yong Li contributed equally to this work

Authors and Affiliations

  1. The Key Laboratory of Soybean Molecular Design Breeding, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Harbin, China

    Chao Fang, Yong Li, Baohui Liu & Fanjiang Kong

  2. University of Chinese Academy of Sciences, Beijing, China

    Chao Fang

  3. School of Life Sciences, Guangzhou University, Guangzhou, China

    Liyu Chen, Haiyang Nan, Lingping Kong, Haiyang Li, Tingyu Li, Yang Tang, Zhihong Hou, Lidong Dong, Qun Cheng, Xiaoya Lin, Xiaohui Zhao, Baohui Liu, Fanjiang Kong & Sijia Lu

  4. Department of Life Sciences, Imperial College London, Silwood Park Campus, Ascot, Berks, UK

    Hanyun Zhang

  5. School of Computer Science and Technology, Wuhan University of Technology, Wuhan, China

    Xiaohui Yuan

Authors
  1. Chao Fang
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Contributions

FK designed the experiments. CF, SL, LC, HN, HL, TL, YT, ZH, LD, QC, XL, and XZ carried out the experiments. CF, LK, YL, BL, XY, ZH, and FK analyzed the data. CF, SL, and FK wrote the paper.

Corresponding authors

Correspondence to Baohui Liu, Fanjiang Kong or Sijia Lu.

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Fang, C., Chen, L., Nan, H. et al. Rapid identification of consistent novel QTLs underlying long-juvenile trait in soybean by multiple genetic populations and genotyping-by-sequencing. Mol Breeding 39, 80 (2019). https://doi.org/10.1007/s11032-019-0979-2

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