Hu Ning, Wang Dantong, Yuan Qianhua, Liu Yang, Jiang Huizi, Pei Xinwu
Yale-NUIST Center on Atmospheric Environment, State Key Laboratory on Climate System Prediction and Risk Management, Nanjing University of Information Science and Technology, Nanjing 210044, China.
Key Laboratory of Ecosystem Carbon Source and Sink-China Meteorological Administration, Nanjing University of Information Science and Technology, Nanjing 210044, China.
Plants (Basel). 2025 Jun 28;14(13):1980. doi: 10.3390/plants14131980.
The gene flow rate in rice ( L.) is a critical factor for establishing safe isolation distances between genetically modified (GM) and non-GM varieties and for ensuring varietal purity in rice breeding programs. This study refines existing gene flow models by disentangling two key components of rice pollen dynamics: quantitative pollen competition and genetic competitiveness. We define as the proportion of GM pollen within mixed pollen, representing quantitative pollen competitiveness. The outcrossing parameter reflects the likelihood of successful fertilization and seed development by foreign pollen, while the hybrid compatibility parameter captures the relative fertilization success of GM versus non-GM pollen within the same pollen pool. Together, and characterize the genetic competitiveness of rice pollen. Our findings reveal a nonlinear relationship between and the observed GM pollen rate , which may exhibit either upward or downward curvature. A nonlinear model provides a significantly better fit to this relationship than a linear model, improving by 4.1-21.4% and reducing by 9.9-47.8%. The parameters and play central roles in determining gene flow; higher values correspond to stronger GM pollen competitiveness, resulting in higher gene flow rates and greater dispersal distances. Specifically, sets the range of the - curve, while determines its curvature.
水稻（L.）中的基因流速率是在转基因（GM）品种与非转基因品种之间确定安全隔离距离以及在水稻育种计划中确保品种纯度的关键因素。本研究通过剖析水稻花粉动态的两个关键组成部分：定量花粉竞争和遗传竞争力，对现有的基因流模型进行了优化。我们将定义为混合花粉中转基因花粉的比例，代表定量花粉竞争力。异交参数反映了外来花粉成功受精和种子发育的可能性，而杂种亲和性参数则体现了在同一花粉库中转基因花粉与非转基因花粉相对的受精成功率。和共同表征了水稻花粉的遗传竞争力。我们的研究结果揭示了与观察到的转基因花粉率之间的非线性关系，该关系可能呈现向上或向下的曲率。非线性模型对这种关系的拟合明显优于线性模型，提高了4.1 - 21.4%，降低了9.9 - 47.8%。参数和在决定基因流方面起着核心作用；较高的值对应更强的转基因花粉竞争力，导致更高的基因流速率和更远的扩散距离。具体而言，设定了曲线的范围，而决定了其曲率。
