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Pollen Quantitative and Genetic Competitiveness of Rice (Oryza sativa L.) and Their Effects on Gene Flow

文献类型： 外文期刊

作者： Hu, Ning 1 ; Wang, Dantong 1 ; Yuan, Qianhua 5 ; Liu, Yang 1 ; Jiang, Huizi 1 ; Pei, Xinwu 6 ;

作者机构： 1.Nanjing Univ Informat Sci & Technol, Yale NUIST Ctr Atmospher Environm, State Key Lab Climate Syst Predict & Risk Manageme, Nanjing 210044, Peoples R China

2.Nanjing Univ Informat Sci & Technol, Key Lab Ecosyst Carbon Source, Nanjing 210044, Peoples R China

3.Nanjing Univ Informat Sci & Technol, Sink China Meteorol Adm, Nanjing 210044, Peoples R China

4.Nanjing Univ Informat Sci & Technol, Collaborat Innovat Ctr Forecast & Evaluat Meteorol, Nanjing 210044, Peoples R China

5.Hainan Univ, Coll Trop Agr, Haikou 570228, Peoples R China

6.Chinese Acad Agr Sci, Biotechnol Res Inst, Beijing 100081, Peoples R China

关键词： gene flow rate; rice (Oryza sativa L.); pollen; quantitative competition; genetic competitiveness

期刊名称：PLANTS-BASEL （ 影响因子：4.1； 五年影响因子：4.5 ）

ISSN： 2223-7747

年卷期： 2025 年 14 卷 13 期

页码：

收录情况： SCI

摘要： The gene flow rate in rice (Oryza sativa 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 B as the proportion of GM pollen within mixed pollen, representing quantitative pollen competitiveness. The outcrossing parameter Cb reflects the likelihood of successful fertilization and seed development by foreign pollen, while the hybrid compatibility parameter Cp captures the relative fertilization success of GM versus non-GM pollen within the same pollen pool. Together, Cb and Cp characterize the genetic competitiveness of rice pollen. Our findings reveal a nonlinear relationship between B and the observed GM pollen rate G, which may exhibit either upward or downward curvature. A nonlinear model provides a significantly better fit to this relationship than a linear model, improving R2 by 4.1-21.4% and reducing RMSE by 9.9-47.8%. The parameters Cb and Cp 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, Cb sets the range of the B-G curve, while Cp determines its curvature.

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