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Soybean oil content QTL mapping and integrating with meta-analysis method for mining genes

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Abstract

Oil content of soybean was a valuable quantitative trait controlled by multiple genes. Eleven QTLs were detected by both CIM and MIM method with the population crossed between Charleston and Dong nong594 in recent 3 years (2007, 2008, 2009). Combining the QTLs collected over the past 20 years, an integrated map of oil-content major QTLs in soybean was established using soymap2, which was published in 2004, as a reference. Using the software BioMercator ver.2.1, QTLs were projected from their own maps onto the reference map. In total, ninety-eight QTLs were integrated into soymap2. A meta-analysis method was used to narrow down the confidence interval, and 20 consensus QTLs and their corresponding markers were obtained. Using a local version of GENSCAN, 10,137 sequences in the consensus QTL intervals were predicted. With BLAST, these predicted genes were compared to the International Protein Index database to mine the related genes. The results offer a basis for gene mining and molecular breeding in soybean.

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Acknowledgments

This research was supported in part by the “Transgenic Specific Technology” program (2009ZX08009-013B), the Chinese “Introducing International Super Agricultural Science and Technology” program [2006-G1(A)] and the “Public Agricultural research special funds projects” (200903003).

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Authors and Affiliations

  1. Northeast Agricultural University, Harbin, China

    Zhao-ming Qi, Qiong Wu, Ya-nan Sun, Xiang-yu Du, Hong-wei Jiang & Qing-shan Chen

  2. Research Center for Crop Breeding of Hei-Long-jiang Land Reclamation, Harbin, China

    Xue Han, Chun-yan Liu, Hong-wei Jiang & Guo-hua Hu

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  1. Zhao-ming Qi
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  9. Qing-shan Chen
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Correspondence to Guo-hua Hu or Qing-shan Chen.

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Qi, Zm., Wu, Q., Han, X. et al. Soybean oil content QTL mapping and integrating with meta-analysis method for mining genes. Euphytica 179, 499–514 (2011). https://doi.org/10.1007/s10681-011-0386-1

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