NATURAL SELECTION FOR WITHIN-GENERATION VARIANCE IN OFFSPRING NUMBER II. DISCRETE HAPLOID MODELS
Author(s) -
John H. Gillespie
Publication year - 1975
Publication title -
genetics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.792
H-Index - 246
eISSN - 1943-2631
pISSN - 0016-6731
DOI - 10.1093/genetics/81.2.403
Subject(s) - biology , selection (genetic algorithm) , natural selection , genetic drift , offspring , variance (accounting) , evolutionary biology , population , ploidy , genetics , statistics , statistical physics , genetic variation , mathematics , gene , physics , demography , computer science , pregnancy , accounting , artificial intelligence , sociology , business
In the classical model of genetic drift in population genetics theory, use is made of a hypothetical "infinite-gametic pool". If, instead, the gametic pool is determined by the random number of offspring per individual, a new form of natural selection acting on the variance in offspring number occurs. A diffusion model of this selection process is derived and some of its properties are explored. It is shown that, independent of the sampling scheme used, the diffusion equation has the drift coefficient M(p) = p(1-p) (µ1-µ2 + σee2 2- σe e1 2) and the diffusion coefficient v(p) = p(1-σ) [pσee 2 2 + (1-σ)σee1 2]. It is also pointed out that the Direct Product Branching process model of genetic drift introduces a non-biological interaction between individuals and is thus inappropriate for modeling natural selection.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom