Salmonids Section, Northwest Atlantic Fisheries Centre, Fisheries and Oceans Canada, St. John's, NL, Canada.
Coastal Ecosystem Sciences Division, Bedford Institute of Oceanography, Fisheries and Oceans Canada, 1 Challenger Drive, Dartmouth, NS, Canada.
Mol Ecol Resour. 2017 Nov;17(6):e275-e284. doi: 10.1111/1755-0998.12704. Epub 2017 Sep 18.
The ability to detect and characterize hybridization in nature has long been of interest to many fields of biology and often has direct implications for wildlife management and conservation. The capacity to identify the presence of hybridization, and quantify the numbers of individuals belonging to different hybrid classes, permits inference on the magnitude of, and timescale over which, hybridization has been or is occurring. Here, we present an r package and associated workflow developed for the detection, with estimates of efficiency and accuracy, of multigenerational hybrid individuals using genetic or genomic data in conjunction with the program newhybrids. This package includes functions for the identification and testing of diagnostic panels of markers, the simulation of multigenerational hybrids, and the quantification and visualization of the efficiency and accuracy with which hybrids can be detected. Overall, this package delivers a streamlined hybrid analysis platform, providing improvements in speed, ease of use and repeatability over current ad hoc approaches. The latest version of the package and associated documentation are available on GitHub (https://github.com/bwringe/hybriddetective).
长期以来，检测和描述自然界中的杂交现象一直是许多生物学领域感兴趣的问题，并且通常对野生动物管理和保护具有直接影响。识别杂交存在的能力，并量化属于不同杂交类别的个体数量，可以推断杂交发生的程度和时间尺度。在这里，我们介绍了一个 r 包和相关的工作流程，用于使用遗传或基因组数据结合 newhybrids 程序检测多代杂交个体，并估计其效率和准确性。该包包括用于识别和测试标记物诊断面板的功能、模拟多代杂交、以及量化和可视化杂交个体检测效率和准确性的功能。总的来说，这个包提供了一个简化的杂交分析平台，在速度、易用性和可重复性方面相对于当前的临时方法有了改进。该包的最新版本和相关文档可在 GitHub（https://github.com/bwringe/hybriddetective）上获得。
