Population genetic theory of kin selection: Multiple alleles at one locus.
Abstract
Exact population genetic models of one-locus sib-to-sib kin selection with an arbitrary
number of alleles are studied. First, a natural additive scaling is established for
the genotypic value associated with probabilities of performance of altruism. Two
classes of polymorphic equilibria are possible, one corresponding to the usual one-locus
viability equilibria and the other reflecting the kin-selection assumptions of the
model. At both, the covariance between additive genotypic value and genotypic fitness
vanish. Further, the sign of this covariance determines the fate of rare alleles introduced
near the first class of equilibria. In addition, the covariance explains the differences
between Hamilton's rule, which results from Hardy-Weinberg assumptions, and exact
initial increase conditions.
Type
Journal articleSubject
Science & TechnologyLife Sciences & Biomedicine
Biology
Life Sciences & Biomedicine - Other Topics
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https://hdl.handle.net/10161/25965Published Version (Please cite this version)
10.1073/pnas.78.8.5036Publication Info
Uyenoyama, MK; Feldman, MW; & Mueller, LD (1981). Population genetic theory of kin selection: Multiple alleles at one locus. Proceedings of the National Academy of Sciences of the United States of America, 78(8). pp. 5036-5040. 10.1073/pnas.78.8.5036. Retrieved from https://hdl.handle.net/10161/25965.This is constructed from limited available data and may be imprecise. To cite this
article, please review & use the official citation provided by the journal.
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Show full item recordScholars@Duke
Marcy K. Uyenoyama
Professor of Biology
Marcy Uyenoyama studies mechanisms of evolutionary change at the molecular and population
levels. Among the questions under study include the prediction and detection of the
effects of natural selection on genomic structure. A major area of research addresses
the development of maximum-likelihood and Bayesian methods for inferring evolutionary
processes from the pattern of molecular variation. Evolutionary processes currently
under study include characterization of population structure acr

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