Literature DB >> 18643943

Establishment of a rice transgene flow model for predicting maximum distances of gene flow in southern China.

Kemin Yao1, Ning Hu1, Wanlong Chen1, Renzhong Li1, Qianhua Yuan2, Feng Wang3, Qian Qian4, Shirong Jia5.   

Abstract

We aimed to establish a rice gene flow model based on (i) the Gaussian plume model, (ii) data from a three-location x 3-yr field experiment on transgene flow to common rice cultivars (Oryza sativa), male sterile (ms) lines (O. sativa) and common wild rice (Oryza rufipogon), and (iii) 32-yr historical meteorological data collected from 38 meteorological stations in southern China during the rice flowering period. The concept of the gene flow coefficient (GFC) is proposed; that is, the ratio of the transgene flow frequency (G%) obtained from field experiments to the aggregated pollen dispersal frequency (P%) calculated based on the pollen dispersal model. The maximum distances of gene flow (MDGF) to traditional rice cultivars, ms lines, and common wild rice at a threshold value of either 1.0 or 0.1% were determined. The MDGF and its spatial distribution in southern China show that the gene flow pattern is significantly affected by the monsoon climate, the topography, and the outcrossing ability of recipients. We believe that the information provided in this study will be useful for the risk assessment of transgenic rice in other rice-growing regions.

Entities:  

Mesh:

Year:  2008        PMID: 18643943     DOI: 10.1111/j.1469-8137.2008.02555.x

Source DB:  PubMed          Journal:  New Phytol        ISSN: 0028-646X            Impact factor:   10.151


  6 in total

1.  Gene flow from herbicide-tolerant GM rice and the heterosis of GM rice-weed F2 progeny.

Authors:  Young Jin Chun; Dae In Kim; Kee Woong Park; Hyo-Jeong Kim; Soon-Chun Jeong; Ju Hee An; Kang Hyun Cho; Kyoungwhan Back; Hwan Mook Kim; Chang-Gi Kim
Journal:  Planta       Date:  2011-01-07       Impact factor: 4.116

2.  The application of gene splitting technique for controlling transgene flow in rice.

Authors:  Xu-Jing Wang; Yu-Feng Dong; Xi Jin; Jiang-Tao Yang; Zhi-Xing Wang
Journal:  Transgenic Res       Date:  2019-10-25       Impact factor: 2.788

3.  Establishment and optimization of a regionally applicable maize gene-flow model.

Authors:  Ning Hu; Jichao Hu; Xiaodong Jiang; Zongzhi Lu; Yufa Peng; Wanlong Chen; Kemin Yao; Ming Zhang; Shirong Jia; Xinwu Pei; Weihong Luo
Journal:  Transgenic Res       Date:  2014-06-25       Impact factor: 2.788

4.  Distribution, genetic diversity and potential spatiotemporal scale of alien gene flow in crop wild relatives of rice (Oryza spp.) in Colombia.

Authors:  Evert Thomas; Eduardo Tovar; Carolina Villafañe; José Leonardo Bocanegra; Rodrigo Moreno
Journal:  Rice (N Y)       Date:  2017-04-18       Impact factor: 4.783

5.  Model-based calculating tool for pollen-mediated gene flow frequencies in plants.

Authors:  Wang Lei; Lu Bao-Rong
Journal:  AoB Plants       Date:  2016-12-30       Impact factor: 3.276

6.  High-Resolution Gene Flow Model for Assessing Environmental Impacts of Transgene Escape Based on Biological Parameters and Wind Speed.

Authors:  Lei Wang; Patsy Haccou; Bao-Rong Lu
Journal:  PLoS One       Date:  2016-03-09       Impact factor: 3.240

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.