Simulation of genetic populations with biochemical properties: II. Selection of crossover probabilities
A previous article [1] presents a simulation model for modeling complex interactions between a dynamic population and its environment. In that article alleles are represented by an ordered pair ( a i , x i ) where the first member a i defines an enzyme (or enzymes) and the second member x i defines...
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| Published in | Mathematical biosciences Vol. 8; no. 1; pp. 1 - 37 |
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| Main Author | |
| Format | Journal Article |
| Language | English |
| Published |
Elsevier Inc
1970
|
| Online Access | Get full text |
| ISSN | 0025-5564 1879-3134 |
| DOI | 10.1016/0025-5564(70)90140-9 |
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| Summary: | A previous article [1] presents a simulation model for modeling complex interactions between a dynamic population and its environment. In that article alleles are represented by an ordered pair (
a
i
,
x
i
) where the first member
a
i
defines an enzyme (or enzymes) and the second member
x
i
defines a “linkage” factor. In the present article, this model is used to study the process of selection on the crossover probabilities in a small population. It is found that strong selective forces are necessary to drive such a population. These include the possibility of a relatively large number of offspring for a given mating and broad mortality procedures. They are necessary in the face of the stochastic effects to which a small population is subject. |
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| ISSN: | 0025-5564 1879-3134 |
| DOI: | 10.1016/0025-5564(70)90140-9 |