THE INFLUENCE OF SPATIAL INHOMOGENEITIES ON NEUTRAL MODELS OF GEOGRAPHICAL VARIATION .3. MIGRATION ACROSS A GEOGRAPHICAL BARRIER

被引:8
作者
NAGYLAKI, T
KEENAN, PT
DUPONT, TF
机构
[1] UNIV CHICAGO, DEPT MATH, CHICAGO, IL 60637 USA
[2] UNIV CHICAGO, DEPT COMP SCI, CHICAGO, IL 60637 USA
关键词
D O I
10.1006/tpbi.1993.1010
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
The equilibrium structure of the infinite, one-dimensional stepping-stone model with a geographical barrier is investigated in the diffusion approximation. The monoecious, diploid population is subdivided into an infinite linear array of equally large, panmictic colonies that exchange gametes symmetrically. Migration is reduced across the geographical barrier, but is otherwise uniform. Generations are discrete and nonoverlapping; the analysis is restricted to a single locus in the absence of selection; every allele mutates to new alleles at the same rate. The two dimensionless parameters in the theory are β = 4ρ0[formula] and κ where ρ0, u, V0, and κ represent the population density, mutation rate, variance of gametic dispersion per generation, and penetrability of the barrier, respectively. The characteristic length is [formula]. Relative to a homogeneous infinite habitat, the barrier raises the probability of identity if the two points of observation are on the same side and lowers it if they are on opposite sides. The former effect is moderate or small, but the latter is large unless transmission is high (κ ≫ 1); genetic differentiation across the barrier is very strong for low transmission (κ ≪ 1). For points of observation on the same side, the influence of the barrier is significant only if the proximal point is within a few characteristic lengths. Upper and lower bounds on the probability of identity are established, and approximations are derived for four cases: (i) low expected homozygosity (β ≫1), (ii) high transmission, (iii) low transmission, and (iv) at least one point distant. © 1993 Academic Press.
引用
收藏
页码:217 / 249
页数:33
相关论文
共 18 条
[1]  
Bank RE, 1990, PLTMG SOFTWARE PACKA
[2]  
Erdelyi A., 1954, TABLES INTEGRAL TRAN, VI
[3]  
Erdelyi A., 1956, ASYMPTOTIC EXPANSION
[4]  
Gautschi W, 1964, HDB MATH FUNCTIONS, P295
[5]  
MALECOT G, 1965, ANN I H POINCARE B, V2, P137
[6]  
Malecot G, 1950, ANN U LYON SCIENCE A, V13, P37
[7]  
NAGYLAKI T, 1976, GENETICS, V83, P867
[9]  
NAGYLAKI T, 1989, GENETICS, V122, P253
[10]   DECAY OF GENETIC-VARIABILITY IN GEOGRAPHICALLY STRUCTURED POPULATION .2. [J].
NAGYLAKI, T .
THEORETICAL POPULATION BIOLOGY, 1976, 10 (01) :70-82