Department of Entomology, University of Arizona, Tucson, Arizona, United States of America.
PLoS One. 2010 Nov 30;5(11):e14128. doi: 10.1371/journal.pone.0014128.
Characterizing the spatial patterns of gene flow from transgenic crops is challenging, making it difficult to design containment strategies for markets that regulate the adventitious presence of transgenes. Insecticidal Bacillus thuringiensis (Bt) cotton is planted on millions of hectares annually and is a potential source of transgene flow.
METHODOLOGY/PRINCIPAL FINDINGS: Here we monitored 15 non-Bt cotton (Gossypium hirsutum, L.) seed production fields (some transgenic for herbicide resistance, some not) for gene flow of the Bt cotton cry1Ac transgene. We investigated seed-mediated gene flow, which yields adventitious Bt cotton plants, and pollen-mediated gene flow, which generates outcrossed seeds. A spatially-explicit statistical analysis was used to quantify the effects of nearby Bt and non-Bt cotton fields at various spatial scales, along with the effects of pollinator abundance and adventitious Bt plants in fields, on pollen-mediated gene flow. Adventitious Bt cotton plants, resulting from seed bags and planting error, comprised over 15% of plants sampled from the edges of three seed production fields. In contrast, pollen-mediated gene flow affected less than 1% of the seed sampled from field edges. Variation in outcrossing was better explained by the area of Bt cotton fields within 750 m of the seed production fields than by the area of Bt cotton within larger or smaller spatial scales. Variation in outcrossing was also positively associated with the abundance of honey bees.
CONCLUSIONS/SIGNIFICANCE: A comparison of statistical methods showed that our spatially-explicit analysis was more powerful for understanding the effects of surrounding fields than customary models based on distance. Given the low rates of pollen-mediated gene flow observed in this study, we conclude that careful planting and screening of seeds could be more important than field spacing for limiting gene flow.
从转基因作物中描述基因流动的空间模式具有挑战性,这使得为监管转基因偶然存在的市场设计遏制策略变得困难。每年有数百万公顷的杀虫苏云金芽孢杆菌(Bt)棉花被种植,它是转基因流动的潜在来源。
方法/主要发现:在这里,我们监测了 15 个非 Bt 棉花(棉属,L.)种子生产田(有些对除草剂有抗性,有些没有),以监测 Bt 棉花 cry1Ac 转基因的基因流动。我们研究了种子介导的基因流动,它产生偶然的 Bt 棉花植物,以及花粉介导的基因流动,它产生杂交种子。我们使用空间显式统计分析来量化附近 Bt 和非 Bt 棉花田在不同空间尺度上的影响,以及传粉者丰度和田间偶然 Bt 植物对花粉介导的基因流动的影响。偶然的 Bt 棉花植物,源自种子袋和种植错误,占从三个种子生产田边缘采集的植物样本的 15%以上。相比之下,花粉介导的基因流动影响不到从田间边缘采集的种子的 1%。异交的变化与距离更近的 750 米范围内的 Bt 棉田面积比更大或更小的空间尺度内的 Bt 棉田面积更好地解释。异交的变化也与蜜蜂丰度呈正相关。
结论/意义:对统计方法的比较表明,我们的空间显式分析比基于距离的惯用模型更能理解周围田地的影响。鉴于本研究中观察到的花粉介导基因流动率较低,我们得出结论,谨慎种植和筛选种子可能比田间间距更重要,以限制基因流动。