Effective population size of natural populations of Drosophila buzzatii, with a comparative evaluation of nine methods of estimation
Effective population size of natural populations of Drosophila buzzatii, with a comparative evaluation of nine methods of estimation
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DOI：
10.1111/j.1365-294x.2011.05324.x
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发表时间：
2011-11-01
影响因子：
4.9
通讯作者：
Barker, J. S. F.
中科院分区：
文献类型：
--
作者：
Barker, J. S. F.
等位酶和微卫星数据从许多种群的果蝇buzzatii已被用来（i）确定在何种程度上N-E不同世代之间的种群内，种群之间，和（ii）评估的一致性的四个时间和五个单样本估计的N-E。不同群体的有效大小相差两个数量级以上，大多数群体的遗传组成在时间上并不稳定，部分群体的N-e在世代间表现出较大的变异。时间方法的短期N-e估计值高度相关，但最小的估计值是所有四种方法中最精确的，并且在各种方法中最一致。除了一个人口，N-E估计值较低时，假设基因流比假设人口封闭。然而，试图联合估计N-e和移民率的价值不大，因为移民的来源是未知的。单样本方法的估计数之间的相关性一般不显著，但就时间方法而言，估计数在较小时最为一致。这些当前N-e的单样本估计通常小于短期时间估计。然而，人口遗传变异并没有被耗尽，大概是因为过去或正在进行的迁移。只有更好地了解人口之间的移徙率，才能更清楚地了解目前和短期的有效人口规模。不同的方法不一定估计相同的N-e，它们受到不同的偏倚，并且人口的生物学、人口统计学和历史可能对不同的估计量产生不同的影响。
Allozyme and microsatellite data from numerous populations of Drosophila buzzatii have been used (i) to determine to what degree N-e varies among generations within populations, and among populations, and (ii) to evaluate the congruence of four temporal and five single-sample estimators of N-e. Effective size of different populations varied over two orders of magnitude, most populations are not temporally stable in genetic composition, and N-e showed large variation over generations in some populations. Shortterm N-e estimates from the temporal methods were highly correlated, but the smallest estimates were the most precise for all four methods, and the most consistent across methods. Except for one population, N-e estimates were lower when assuming gene flow than when assuming populations that were closed. However, attempts to jointly estimate N-e and immigration rate were of little value because the source of migrants was unknown. Correlations among the estimates from the single-sample methods generally were not significant although, as for the temporal methods, estimates were most consistent when they were small. These single-sample estimates of current N-e are generally smaller than the short-term temporal estimates. Nevertheless, population genetic variation is not being depleted, presumably because of past or ongoing migration. A clearer picture of current and short-term effective population sizes will only follow with better knowledge of migration rates between populations. Different methods are not necessarily estimating the same N-e, they are subject to different bias, and the biology, demography and history of the population(s) may affect different estimators differently.