Integrating QTL mapping and transcriptomics identifies candidate genes underlying QTLs associated with soybean tolerance to low-phosphorus stress

@article{Zhang2016IntegratingQM,
  title={Integrating QTL mapping and transcriptomics identifies candidate genes underlying QTLs associated with soybean tolerance to low-phosphorus stress},
  author={Dan Zhang and Hengyou Zhang and Shanshan Chu and Hongyan Li and Yingjun Chi and Daniella Triebwasser-Freese and Haiyan Lv and Deyue Yu},
  journal={Plant Molecular Biology},
  year={2016},
  volume={93},
  pages={137-150}
}
Soybean is a high phosphorus (P) demand species that is sensitive to low-P stress. Although many quantitative trait loci (QTL) for P efficiency have been identified in soybean, but few of these have been cloned and agriculturally applied mainly due to various limitations on identifying suitable P efficiency candidate genes. Here, we combined QTL mapping, transcriptome profiling, and plant transformation to identify candidate genes underlying QTLs associated with low-P tolerance and response… CONTINUE READING