Department of Zoology, University of British Columbia, Vancouver, British Columbia, Canada V6T 1Z4.
Mol Ecol. 2010 May;19(9):1842-59. doi: 10.1111/j.1365-294X.2010.04596.x.
Due to difficulties in identifying important within-species biodiversity for effective species management and conservation, the use of multiple complementary sources of information is required to identify and assess the designation of conservation units based on the degree of variation among populations within a species. In this study, we combined estimates of microsatellite and transcriptomic variation to assess the population structure and potential for adaptive variation of threatened Atlantic salmon, Salmo salar, among rivers in the Bay of Fundy. In general, population structure identified by genetic differentiation was consistent with the patterns of variation in gene expression, although there was not a strong correlation between neutral genetic variation and variation in gene expression. Both data sets provided clear indication of strong regional differentiation between rivers located within the inner Bay of Fundy relative to rivers located within the outer Bay of Fundy or the Southern Upland region, and there was also support for more refined population structure. Both data sets indicated that Atlantic salmon populations from the inner and outer Bay of Fundy reflect unique genetic lineages, with some evidence of population differentiation between regions of the inner Bay of Fundy, and between individual rivers within a region. Consistency of the microarray data across 2 years helped to validate the use of this technique as a useful tool in assessment of variation among wild populations for species conservation.
由于难以确定物种内重要的生物多样性以进行有效的物种管理和保护，因此需要使用多种互补的信息来源来识别和评估基于物种内种群间变异程度的保护单元。在这项研究中，我们结合了微卫星和转录组变异的估计值，以评估芬迪湾内河流中受威胁的大西洋鲑（Salmo salar）的种群结构和潜在的适应变异。总体而言，遗传分化识别的种群结构与基因表达变化的模式一致，尽管中性遗传变异与基因表达变化之间没有很强的相关性。这两个数据集都清楚地表明，位于芬迪湾内的河流与位于芬迪湾外或南部高地地区的河流之间存在强烈的区域分化，并且还支持更精细的种群结构。这两个数据集都表明，来自芬迪湾内和外的大西洋鲑种群反映了独特的遗传谱系，芬迪湾内地区之间以及一个地区内的个别河流之间存在种群分化的一些证据。微阵列数据在 2 年内的一致性有助于验证该技术作为评估野生种群变异以进行物种保护的有用工具的使用。
