Using empirical data to model transgene dispersal

被引:28
作者
Meagher, TR
Belanger, FC
Day, PR
机构
[1] Univ St Andrews, Sch Biol, Div Environm & Evolutionary Biol, St Andrews KY16 9TH, Fife, Scotland
[2] Rutgers State Univ, Plant Biol & Pathol Dept, New Brunswick, NJ 08901 USA
[3] Rutgers State Univ, Biotechnol Ctr Agr & Environm, New Brunswick, NJ 08901 USA
关键词
transgenic herbicide resistance; gene flow; paternity analysis; Agrostis palustris; turfgrass; risk assessment;
D O I
10.1098/rstb.2003.1293
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
One element of the current public debate about genetically modified crops is that gene flow from transgenic cultivars into surrounding weed populations will lead to more problematic weeds, particularly for traits such as herbicide resistance. Evolutionary biologists can inform this debate by providing accurate estimates of gene flow potential and subsequent ecological performance of resulting hybrids. We develop a model for gene flow incorporating exponential distance and directional effects to be applied to wind-pollinated species. This model is applied to previously published data on gene flow in experimental plots of Agrostis stolonifera L. (creeping bentgrass), which assessed gene flow from transgenic plants resistant to the herbicide glufosinate to surrounding non-transgenic plants. Our results show that although pollen dispersal can be limited in some sites, it may be extensive in others, depending on local conditions such as exposure to wind. Thus, hybridization under field conditions is likely to occur. Given the nature of the herbicide resistance trait, we regard this trait as unlikely to persist in the absence of herbicide, and suggest that the ecological consequences of such gene flow are likely to be minimal.
引用
收藏
页码:1157 / 1162
页数:6
相关论文
共 35 条
[21]   A review of issues pertaining to transgenic turfgrasses [J].
Johnson, PG ;
Riordan, TP .
HORTSCIENCE, 1999, 34 (04) :594-598
[22]  
Jordan N, 1999, WEED RES, V39, P493, DOI 10.1046/j.1365-3180.1999.00168.x
[23]   Transformation and regeneration of creeping bentgrass (Agrostis palustris Huds) protoplasts [J].
Lee, L ;
Laramore, CL ;
Day, PR ;
Tumer, NE .
CROP SCIENCE, 1996, 36 (02) :401-406
[24]  
Meagher T. R., 2003, VVolume 15, P76
[27]  
Morgan MT, 2001, EVOLUTION, V55, P272, DOI 10.1111/j.0014-3820.2001.tb01292.x
[28]   Environmental risks of pesticides versus genetic engineering for agricultural pest control [J].
Paoletti, MG ;
Pimentel, D .
JOURNAL OF AGRICULTURAL & ENVIRONMENTAL ETHICS, 2000, 12 (03) :279-303
[29]  
POLLACK A, 2003, NY TIMES 0114
[30]   APPLICATION OF MAXIMUM-LIKELIHOOD METHODS TO POPULATION GENETIC DATA FOR THE ESTIMATION OF INDIVIDUAL FERTILITIES [J].
ROEDER, K ;
DEVLIN, B ;
LINDSAY, BG .
BIOMETRICS, 1989, 45 (02) :363-379