Department of Watershed Sciences, Utah State University, 5210 Old Main Hill, Logan, Utah 84322-5210, USA.
Ecol Appl. 2010 Jan;20(1):263-77. doi: 10.1890/08-0441.1.
Hybridization and introgression between introduced and native salmonids threaten the continued persistence of many inland cutthroat trout species. Environmental models have been developed to predict the spread of introgression, but few studies have assessed the role of propagule pressure. We used an extensive set of fish Stocking records and geographic information system (GIS) data to produce a spatially explicit index of potential propagule pressure exerted by introduced rainbow trout in the Upper Kootenay River, British Columbia, Canada. We then used logistic regression and the information-theoretic approach to test the ability of a set of environmental and spatial variables to predict the level of introgression between native westslope cutthroat trout and introduced rainbow trout. Introgression was assessed using between four and seven co-dominant, diagnostic nuclear markers at 45 sites in 31 different streams. The best model for predicting introgression included our GIS propagule pressure index and an environmental variable that accounted for the biogeoclimatic zone of the site (r2=0.62). This model was 1.4 times more likely to explain introgression than the next-best model, which consisted of only the propagule pressure index variable. We created a composite model based on the model-averaged results of the seven top models that included environmental, spatial, and propagule pressure variables. The propagule pressure index had the highest importance weight (0.995) of all variables tested and was negatively related to sites with no introgression. This study used an index of propagule pressure and demonstrated that propagule pressure had the greatest influence on the level of introgression between a native and introduced trout in a human-induced hybrid zone.
杂交和基因渗入引入的和本地的鲑鱼科鱼类对许多内陆斑鳟物种的持续生存构成威胁。已经开发了环境模型来预测基因渗入的传播,但很少有研究评估扩散体压力的作用。我们使用了广泛的鱼类放养记录和地理信息系统(GIS)数据,为加拿大不列颠哥伦比亚省上库特尼河引入的虹鳟鱼施加的潜在扩散体压力产生了一个空间明确的指数。然后,我们使用逻辑回归和信息理论方法来测试一组环境和空间变量预测本地西海岸斑鳟和引入的虹鳟之间基因渗入水平的能力。在 31 条不同溪流的 45 个地点使用四个至七个共显性、诊断性核标记评估基因渗入。预测基因渗入的最佳模型包括我们的 GIS 扩散体压力指数和一个解释地点生物地理气候区的环境变量(r2=0.62)。该模型比下一个最佳模型(仅包含扩散体压力指数变量)更有可能解释基因渗入,高出 1.4 倍。我们基于七个最佳模型的模型平均结果创建了一个综合模型,其中包括环境、空间和扩散体压力变量。扩散体压力指数在所有测试变量中具有最高的重要性权重(0.995),与没有基因渗入的地点呈负相关。本研究使用了扩散体压力指数,并表明扩散体压力对人类诱导的杂交区本地和引入的鳟鱼之间的基因渗入水平有最大的影响。