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

The gene flow rate in rice (<i>Oryza sativa</i> 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 <i>B</i> as the proportion of GM pollen within mixed pollen, representing quantitative pollen competitiveness. The outcrossing parameter <i>C<sub>b</sub></i> reflects the likelihood of successful fertilization and seed development by foreign pollen, while the hybrid compatibility parameter <i>C<sub>p</sub></i> captures the relative fertilization success of GM versus non-GM pollen within the same pollen pool. Together, <i>C<sub>b</sub></i> and <i>C<sub>p</sub></i> characterize the genetic competitiveness of rice pollen. Our findings reveal a nonlinear relationship between <i>B</i> and the observed GM pollen rate <i>G</i>, which may exhibit either upward or downward curvature. A nonlinear model provides a significantly better fit to this relationship than a linear model, improving <i>R</i><sup>2</sup> by 4.1-21.4% and reducing <i>RMSE</i> by 9.9-47.8%. The parameters <i>C<sub>b</sub></i> and <i>C<sub>p</sub></i> 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, <i>C<sub>b</sub></i> sets the range of the <i>B</i>-<i>G</i> curve, while <i>C<sub>p</sub></i> determines its curvature.

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Publication Details

Journal
Plants
Published
2025-06-28
DOI
https://doi.org/10.3390/plants14131980
Primary Topic
Genetically Modified Organisms Research
Type
article
Field-Weighted Citation Impact
0.00

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article

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

Qianhua Yuan, Dantong Wang, Xinwu Pei, Yang Liu et al.
Plants
Genetically Modified Organisms Research
article

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

Qianhua Yuan, Dantong Wang, Xinwu Pei, Yang Liu, Ning Hu, He Jiang
article en

Abstract

The gene flow rate in rice (<i>Oryza sativa</i> 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 <i>B</i> as the proportion of GM pollen within mixed pollen, representing quantitative pollen competitiveness. The outcrossing parameter <i>C<sub>b</sub></i> reflects the likelihood of successful fertilization and seed development by foreign pollen, while the hybrid compatibility parameter <i>C<sub>p</sub></i> captures the relative fertilization success of GM versus non-GM pollen within the same pollen pool. Together, <i>C<sub>b</sub></i> and <i>C<sub>p</sub></i> characterize the genetic competitiveness of rice pollen. Our findings reveal a nonlinear relationship between <i>B</i> and the observed GM pollen rate <i>G</i>, which may exhibit either upward or downward curvature. A nonlinear model provides a significantly better fit to this relationship than a linear model, improving <i>R</i><sup>2</sup> by 4.1-21.4% and reducing <i>RMSE</i> by 9.9-47.8%. The parameters <i>C<sub>b</sub></i> and <i>C<sub>p</sub></i> 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, <i>C<sub>b</sub></i> sets the range of the <i>B</i>-<i>G</i> curve, while <i>C<sub>p</sub></i> determines its curvature.

PlantsVol. 14(13)
China Meteorological Administration (CN), Nanjing University of Information Science and Technology (CN), Hainan University (CN), Chinese Academy of Agricultural Sciences (CN), Biotechnology Research Institute (CN)
National Natural Science Foundation of China
Zero hunger
Openalex Percentile: Top 89%
Genetically Modified Organisms Research
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