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Multi-environment mapping and meta-analysis of 100-seed weight in soybean

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Abstract

100-Seed weight (100-SW) of soybean is an important but complicated quantitative trait to yield. This study was focus on the quantitative trait loci (QTLs) of soybean 100-SW from 2006 to 2010, using recombination inbred lines population that was derived from a cross between Charleston and Dongnong 594. A total of 23 QTLs for 100-SW were detected in the linkage group C2, D1a, F, G and O. Nine QTLs were identified by composite interval mapping including one QTL with the minimum confidence interval (CI) of 1.3 cM, while 14 QTLs by multiple interval mapping. Furthermore, 94 reported QTLs of 100-SW were integrated with our QTL mapping results using BioMercator. As a result, 15 consensus QTLs and their corresponding markers were identified. The minimum CI was reduced to 1.52 cM by the combination of meta-analysis. These findings may merit fine-mapping of these QTL in soybean.

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Acknowledgments

This research was supported in part by the ‘New Century Excellent Talent Training Plan of Heilongjiang Province Ordinary Higher Education’(1252-NCET-004), ‘China Agriculture Research System’ (CARS-04-02A), the ‘Transgenic Specific Technology program’(2011ZX08004-001-06), the ‘National “Twelfth Five-Year” Plan for Science and Technology Support Program’ (2011BAD35B06) and the ‘Public Agricultural Research Special Funds Projects’ (200903003).

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Authors and Affiliations

  1. The Crop Research and Breeding Center of Land-Reclamation of Heilongjiang Province, Harbin, 150090, Heilongjiang, People’s Republic of China

    Ya-nan Sun, Xiang-lin Shi, Xiang-yu Du, Qiong Wu, Hong-wei Jiang, Chun-yan Liu & Guo-hua Hu

  2. College of Agriculture, Northeast Agricultural University, Harbin, 150030, Heilongjiang, People’s Republic of China

    Ya-nan Sun, Jun-bo Pan, Xiang-lin Shi, Xiang-yu Du, Qiong Wu, Zhao-ming Qi, Da-wei Xin & Qing-shan Chen

  3. College of Life Sciences, Northeast Forestry University, Harbin, 150040, Heilongjiang, People’s Republic of China

    Jun-bo Pan

  4. The National Research Center of Soybean Engineering and Technology, Harbin, 150030, Heilongjiang, People’s Republic of China

    Guo-hua Hu

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  1. Ya-nan Sun
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  2. Jun-bo Pan
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  3. Xiang-lin Shi
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  4. Xiang-yu Du
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  6. Zhao-ming Qi
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  7. Hong-wei Jiang
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  8. Da-wei Xin
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  9. Chun-yan Liu
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  10. Guo-hua Hu
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  11. Qing-shan Chen
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Corresponding authors

Correspondence to Guo-hua Hu or Qing-shan Chen.

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Ya-nan Sun and Jun-bo Pan contributed equally to this study.

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Sun, Yn., Pan, Jb., Shi, Xl. et al. Multi-environment mapping and meta-analysis of 100-seed weight in soybean. Mol Biol Rep 39, 9435–9443 (2012). https://doi.org/10.1007/s11033-012-1808-4

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  • DOI: https://doi.org/10.1007/s11033-012-1808-4

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