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Physical mapping and candidate gene prediction of branch number on the main stem in soybean [Glycine max (L.) Merr.]

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Abstract

Branch number on the main stem (BNMS) is an important factor that affects crop plant architecture and yield in soybean [Glycine max (L.) Merr.]. With the aim of elucidating the genetic basis of BNMS, 10 consensus quantitative trait loci (QTLs) were identified, which were on 9 chromosomes and explained 0.3–33.3% of the phenotypic variance. One new QTL-qBN.N (R2 = 19.6%) was detected in two populations (F2:3-Taiyuan 2017 and F2:4-Taiyuan 2018), which occur only in Taiyuan. Thus, the interaction analysis of QTL × environment confirmed that QTL-qBN.N was greatly affected by the environment. Of these, QTL-qBN.C2 (R2 = 33.3%) was defined as a major QTL, and was also verified and fine-mapped in the recombinant inbred line population. The high-coverage re-sequencing of two parental lines and newly developed InDel PCR-based markers allowed the region of qBN.C2 to be narrowed down to 304.9 kb. According to the gene annotation of the QTL interval, a total of 24 genes were obtained. Three potential candidate genes were identified by quantitative real-time PCR, and only Glyma.06G188400 had the highest relative expression at the axillary meristem, and thus it may potentially participate in branching development. The successful and rapid fine-mapping and discovery of candidate genes for BNMS in soybean were achieved in this study.

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Funding

This research was supported by the National Key Research and Development Program of China (2016YFD0101500, 2016YFD0101504), Key R & D projects in Shanxi Province (201903D211003), Shanxi Provincial Natural Science Youth Fund (201901D211563), Shanxi Academy of Agricultural Science Postdoctoral Fund (YCX2020BH4), Funded by China Postdoctoral Science Foundation, Shanxi Academy of Agricultural Science Doctoral Research Fund, Shanxi Academy of Agricultural Science Biological Breeding Engineering (17YZGC102) and Shanxi Academy of Agricultural Science Technological Innovation (YGJPY1909).

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  1. Center for Agricultural Genetic Resources Research, Shanxi Agricultural University, Taiyuan, 030031, China

    Yuhua Yang, Zhiyuan Bai, Baoguo Wei, Haiping Zhang & Ruijun Zhang

  2. School of Life Science, Shanxi University, Taiyuan, 030006, China

    Yuhua Yang

  3. College of Horticulture, Shanxi Agricultural University, Taiyuan, 030031, China

    Yang Lei

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  1. Yuhua Yang
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Yang, Y., Lei, Y., Bai, Z. et al. Physical mapping and candidate gene prediction of branch number on the main stem in soybean [Glycine max (L.) Merr.]. Genet Resour Crop Evol 68, 2907–2921 (2021). https://doi.org/10.1007/s10722-021-01163-y

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