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A Model for the Evolution of Distyly

Authors: D. Charlesworth; B. Charlesworth;

A Model for the Evolution of Distyly

Abstract

Reasons are given for believing that morphological distyly is unlikely to evolve before the incompatibility system. The first problem studied is therefore the evolution of incompatibility of the type found in distyly, with two pollen and two stigma types. It is argued that the first step, starting from self-compatibility, is a mutation to a new pollen type, such that the mutant cannot self-fertilize or fertilize other individuals. Conditions for the spread of such a mutation (assumed recessive) are given. Next, a dominant mutation to a new stigma type, incompatible with the original pollen type but compatible with the new type, is studied. Such a mutation is almost certain to be eliminated if it occurs first, but can spread in a population polymorphic for the pollen mutation provided that it occurs at a linked locus. With tight linkage, this model generates a population with two incompatibility types, one dominant to the other, with only rare recombinant types. It is shown by computer runs that modifiers ...

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Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
208
Top 10%
Top 1%
Top 10%
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