Coulon A, Fitzpatrick J W, Bowman R, Stith B M, Makarewich C A, Stenzler L M, Lovette I J
Laboratory of Ornithology, Cornell University, 159 Sapsucker Woods Road, Ithaca, New York 14850, USA.
Mol Ecol. 2008 Apr;17(7):1685-701. doi: 10.1111/j.1365-294X.2008.03705.x.
The delimitation of populations, defined as groups of individuals linked by gene flow, is possible by the analysis of genetic markers and also by spatial models based on dispersal probabilities across a landscape. We combined these two complimentary methods to define the spatial pattern of genetic structure among remaining populations of the threatened Florida scrub-jay, a species for which dispersal ability is unusually well-characterized. The range-wide population was intensively censused in the 1990s, and a metapopulation model defined population boundaries based on predicted dispersal-mediated demographic connectivity. We subjected genotypes from more than 1000 individual jays screened at 20 microsatellite loci to two Bayesian clustering methods. We describe a consensus method for identifying common features across many replicated clustering runs. Ten genetically differentiated groups exist across the present-day range of the Florida scrub-jay. These groups are largely consistent with the dispersal-defined metapopulations, which assume very limited dispersal ability. Some genetic groups comprise more than one metapopulation, likely because these genetically similar metapopulations were sundered only recently by habitat alteration. The combined reconstructions of population structure based on genetics and dispersal-mediated demographic connectivity provide a robust depiction of the current genetic and demographic organization of this species, reflecting past and present levels of dispersal among occupied habitat patches. The differentiation of populations into 10 genetic groups adds urgency to management efforts aimed at preserving what remains of genetic variation in this dwindling species, by maintaining viable populations of all genetically differentiated and geographically isolated populations.
通过对遗传标记的分析以及基于景观中扩散概率的空间模型,可以界定种群,种群被定义为由基因流连接的个体群体。我们结合了这两种互补方法,以确定受威胁的佛罗里达灌丛鸦剩余种群之间遗传结构的空间模式,该物种的扩散能力具有异常良好的特征描述。在20世纪90年代对该物种的全范围种群进行了密集普查,一个集合种群模型根据预测的扩散介导的种群统计学连通性定义了种群边界。我们对在20个微卫星位点筛选的1000多只个体灌丛鸦的基因型进行了两种贝叶斯聚类方法分析。我们描述了一种用于识别多次重复聚类运行中共同特征的共识方法。在佛罗里达灌丛鸦目前的分布范围内存在10个遗传分化的群体。这些群体在很大程度上与基于扩散定义的集合种群一致,后者假设扩散能力非常有限。一些遗传群体包含不止一个集合种群,可能是因为这些遗传相似的集合种群最近才因栖息地改变而被分割。基于遗传学和扩散介导的种群统计学连通性对种群结构的综合重建,有力地描绘了该物种当前的遗传和种群统计学组织,反映了过去和现在被占据栖息地斑块之间的扩散水平。将种群分化为10个遗传群体,使得旨在通过维持所有遗传分化和地理隔离种群的可行种群来保护这个数量不断减少的物种中剩余遗传变异的管理工作变得更加紧迫。