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. 2021 Apr 19;253(5):109.
doi: 10.1007/s00425-021-03628-x.

QTL mapping of the genetic basis of stem diameter in soybean

Chong-Yuan Sun  1 , Yu-Ming Yang  1 , Lin Jia  1 , Xiao-Qian Liu  1 , Huan-Qing Xu  1 , Hai-Yan Lv  1 , Zhong-Wen Huang  2 , Dan Zhang  3
Affiliations

QTL mapping of the genetic basis of stem diameter in soybean

Chong-Yuan Sun et al. Planta. .

Abstract

QTL mapping of stem diameter was carried out in three RIL populations using a high-density genetic map, and candidate genes related to stem diameter were predicted. Stem diameter is an important agronomic trait affecting soybean lodging and productivity. However, this trait is underexploited, and the underlying genetic mechanism in soybean remains unclear. In this study, three recombinant inbred line (RIL) populations, including 156 F10 lines from Nannong 94-156 × Bogao (N × B), 127 F9 lines from Dongnong 50 × Williams 82 (D × W), and 146 F9 lines from Suinong 14 × Enrei (S × E), were used to identify QTLs for soybean stem diameter across multiple environments. Phenotype analysis revealed that stem diameter exhibited strong positive correlations with plant height and 100-seed weight, two of the most important yield components. A total of 12 QTLs for stem diameter were identified on eight chromosomes across three RIL populations and five environments. The most influential QTL that was stably identified across all the populations and environments, q11, explained 12.58-26.63% of the phenotypic variation. Detection of several environment-specific QTLs, including q14, q16, and q20, suggests that environments may also have important effects in shaping the natural variation in soybean stem diameter. Furthermore, we predicted candidate genes underlying the QTLs and found that several promising candidate genes may be responsible for the variation in stem diameter in soybean. Overall, the markers/genes linked closely or underlying the major QTLs may be used for marker-assisted selection of soybean varieties to enhance lodging resistance and even yield. Our results lay the foundation for the fine mapping of stem development-related genes to reveal the molecular mechanisms.

Keywords: Candidate gene; Genetic basis; QTL mapping; Soybean; Stem diameter.

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References

    1. Chen H, Shan Z, Sha A, Wu B, Yang Z, Chen S, Zhong R, Zhou X (2011) Quantitative trait loci analysis of stem strength and related traits in soybean. Euphytica 179(3):485–497. https://doi.org/10.1007/s10681-011-0382-5 - DOI
    1. Contreras-Sota et al (2017) A genome-wide association study for agronomic traits in soybean using SNP markers and SNP-based haplotype analysis. PLoS ONE 12(2):e0171105. https://doi.org/10.1371/journal.pone.0171105 - DOI
    1. Csanádi G, Vollmann J, Stift G, Lelley T (2001) Seed quality QTLs identified in a molecular map of early maturing soybean. Theor Appl Genet 103(6–7):912–919. https://doi.org/10.1007/s001220100621 - DOI
    1. Dai J, Shi P, Li S, Luo J, Cai Z, Cai Z (2017) Preliminary mapping analysis of QTLs for the related traits of rice extreme culm thickness. Mole Plant Breed 15(4):1395–1402. https://doi.org/10.13271/j.mpb.015.001395 - DOI
    1. Dong Q, Zhang K, Sun X, Tian X, Qi Z, Fang Y et al (2020) Mapping QTL underlying plant height at three development stages and its response to density in soybean [Glycine max (L) Merri]. Biotechnol Biotechnol Equip 34(1):395–404. https://doi.org/10.1080/13102818.2020.1758594 - DOI

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