Department of Evolutionary Ecology, Instituto de Ecología, Universidad Nacional Autónoma de México, Mexico City, Mexico.
Division of Florence, Institute of Biosciences and Bioresources, National Research Council, Sesto Fiorentino, Italy.
Mol Ecol. 2020 Dec;29(24):4797-4811. doi: 10.1111/mec.15684. Epub 2020 Nov 9.
Severe bottlenecks significantly diminish the amount of genetic diversity and the speed at which it accumulates (i.e., evolutionary rate). They further compromise the efficiency of natural selection to eliminate deleterious variants, which may reach fixation in the surviving populations. Consequently, expanding and adapting to new environments may pose a significant challenge when strong bottlenecks result in genetic pauperization. Herein, we surveyed the patterns of nucleotide diversity, molecular adaptation and genetic load across 177 gene-loci in a circum-Mediterranean conifer (Pinus pinea L.) that represents one of the most extreme cases of genetic pauperization in widespread outbreeding taxa. We found very little genetic variation in both hypervariable nuclear microsatellites (SSRs) and gene-loci, which translated into genetic diversity estimates one order of magnitude lower than those previously reported for pines. Such values were consistent with a strong population decline that began some ~1 Ma. Comparisons with the related and parapatric maritime pine (Pinus pinaster Ait.) revealed reduced rates of adaptive evolution (α and ω ) and a significant accumulation of genetic load. It is unlikely that these are the result from differences in mutation rate or linkage disequilibrium between the two species; instead they are the presumable outcome of contrasting demographic histories affecting both the speed at which these taxa accumulate genetic diversity, and the global efficacy of selection. Future studies, and programs for conservation and management, should thus start testing for the effects of genetic load on fitness, and integrating such effects into predictive models.
严重的瓶颈会显著减少遗传多样性的数量及其积累的速度(即进化率)。它们进一步削弱了自然选择消除有害变异的效率,这些变异可能在幸存的种群中固定下来。因此,当强烈的瓶颈导致遗传贫困时,扩展和适应新环境可能会带来重大挑战。在此,我们调查了在地中海周围分布的一种针叶树(松树)中 177 个基因座的核苷酸多样性、分子适应性和遗传负荷的模式,该种代表了广泛散布的异花授粉类群中最极端的遗传贫困情况之一。我们在高度可变的核微卫星(SSR)和基因座中都发现了非常少的遗传变异,这导致遗传多样性估计值比以前报道的松树低一个数量级。这些值与大约 1Ma 开始的强烈种群下降相一致。与相关的和邻域分布的海松(Pinus pinaster Ait.)相比,适应性进化(α 和 ω )的速率降低,并且遗传负荷显著积累。这不太可能是由于两个物种之间的突变率或连锁不平衡的差异造成的;相反,它们可能是影响这些类群积累遗传多样性的速度以及选择的全球效率的对比性种群历史的结果。未来的研究以及保护和管理计划,应该开始测试遗传负荷对适应性的影响,并将这些影响整合到预测模型中。