Wittmann Meike J, Gabriel Wilfried, Metzler Dirk
Department Biology II, Ludwig-Maximilians-Universität München, 82152 Planegg-Martinsried, Germany
Department Biology II, Ludwig-Maximilians-Universität München, 82152 Planegg-Martinsried, Germany.
Genetics. 2014 Sep;198(1):299-310. doi: 10.1534/genetics.114.167551. Epub 2014 Jul 9.
A phenomenon that strongly influences the demography of small introduced populations and thereby potentially their genetic diversity is the demographic Allee effect, a reduction in population growth rates at small population sizes. We take a stochastic modeling approach to investigate levels of genetic diversity in populations that successfully overcame either a strong Allee effect, in which populations smaller than a certain critical size are expected to decline, or a weak Allee effect, in which the population growth rate is reduced at small sizes but not negative. Our results indicate that compared to successful populations without an Allee effect, successful populations with a strong Allee effect tend to (1) derive from larger founder population sizes and thus have a higher initial amount of genetic variation, (2) spend fewer generations at small population sizes where genetic drift is particularly strong, and (3) spend more time around the critical population size and thus experience more genetic drift there. In the case of multiple introduction events, there is an additional increase in diversity because Allee-effect populations tend to derive from a larger number of introduction events than other populations. Altogether, a strong Allee effect can either increase or decrease genetic diversity, depending on the average founder population size. By contrast, a weak Allee effect tends to decrease genetic diversity across the entire range of founder population sizes. Finally, we show that it is possible in principle to infer critical population sizes from genetic data, although this would require information from many independently introduced populations.
一种对引入的小种群的人口统计学有强烈影响并因此可能影响其遗传多样性的现象是人口统计学上的阿利效应,即小种群规模下种群增长率的降低。我们采用随机建模方法来研究成功克服强阿利效应(即小于某个临界规模的种群预计会减少)或弱阿利效应(即小种群规模下种群增长率降低但不为负)的种群中的遗传多样性水平。我们的结果表明,与没有阿利效应的成功种群相比,具有强阿利效应的成功种群往往:(1)源自更大的奠基者种群规模,因此具有更高的初始遗传变异量;(2)在遗传漂变特别强烈的小种群规模下经历的世代较少;(3)在临界种群规模附近花费更多时间,因此在那里经历更多的遗传漂变。在多次引入事件的情况下,多样性会额外增加,因为阿利效应种群往往比其他种群源自更多的引入事件。总体而言,强阿利效应是增加还是减少遗传多样性,取决于平均奠基者种群规模。相比之下,弱阿利效应往往会在整个奠基者种群规模范围内降低遗传多样性。最后,我们表明原则上可以从遗传数据推断临界种群规模,尽管这需要来自许多独立引入种群的信息。