Rannala B, Hartigan J A
Department of Biology, Yale University, New Haven, Connecticut 06520.
Genetics. 1995 Jan;139(1):429-37. doi: 10.1093/genetics/139.1.429.
A new model is presented for the genetic structure among a collection of island populations, with fluctuating population sizes and continuous overlapping generations, using a stochastic birth, death and immigration (BDI) process. Immigrants enter each island from a large mainland population, with constant gene frequencies, according to a Poisson process. The average probability of identity by descent (IBD) for two haploid individuals randomly selected from an island population is f0 = (phi f1 + lambda)/(phi + lambda), where f1 is the probability of IBD for two randomly selected immigrants, lambda is the birth-rate for each individual, and phi is the arrival rate of immigrants into each island. The value of f0 is independent of the death process, time and N. The expected level of genetic differentiation among island populations is FST = (1 - 1/n)lambda/(phi + lambda), where n is the total number of islands receiving immigrants. Because f0 and FST are independent of the death process, for a BDI model, the population genetic structure for several general demographic situations may be examined using our equations. These include stochastic exponential, or logistic (regulated by death rate) growth within islands, or a ""source-sink" population structure. Because the expected values of both f0 and FST are independent of time, these are achieved immediately, for a BDI model, with no need to assume the island populations are at genetic equilibrium.
本文提出了一种新模型,用于研究一系列岛屿种群的遗传结构,这些种群大小波动且世代连续重叠,采用随机出生、死亡和迁移(BDI)过程。移民根据泊松过程从基因频率恒定的大陆大种群进入每个岛屿。从岛屿种群中随机选择的两个单倍体个体的平均同源基因(IBD)概率为f0 = (φf1 + λ)/(φ + λ),其中f1是两个随机选择的移民的IBD概率,λ是每个个体的出生率,φ是移民进入每个岛屿的到达率。f0的值与死亡过程、时间和N无关。岛屿种群间遗传分化的预期水平为FST = (1 - 1/n)λ/(φ + λ),其中n是接收移民的岛屿总数。由于f0和FST与死亡过程无关,对于BDI模型,可以使用我们的方程来研究几种一般人口统计学情况下的种群遗传结构。这些情况包括岛屿内的随机指数增长或逻辑斯蒂增长(由死亡率调节),或“源-汇”种群结构。由于f0和FST的期望值都与时间无关,对于BDI模型,这些情况可立即实现,无需假设岛屿种群处于遗传平衡状态。