MATHEMATICAL POPULATION GENETICS OF KIN SELECTION
亲缘选择的数学群体遗传学
基本信息
- 批准号:3314932
- 负责人:
- 金额:$ 3.42万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:1983
- 资助国家:美国
- 起止时间:1983-01-01 至 1986-03-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The primary objective of the proposed research is to study the coevolution
of social interactions together with the social framework within which such
interactions take pace. Mathematical population genetics models
constructed in terms of the dynamics of gene and genotype frequency
evolution will be analyzed. In the first phase of the project, models of
the separate evolution of cetain aspects of the social system will be
studied. In the second phase, we will explore the simultaneous evolution
of the social structure and the social interactions themselves.
Specifically, the first phase involves the mathematical derivation of
equilibrium states and local stability conditions near those equilibria in
models depicting the evolution of certain aspects of the social system. We
will study the evolution of both structural features, such as the level of
inbreeding and sexuality, and the dynamics of genetically=based altruism
controlled by one and two loci within particular, well-defined social
contexts including partial sib-mating. In the second phase, two locus
modifier models of the simultaneous evolution of structural and interactive
aspects will be constructed and analyzed. In our models social
interactions, such as altruism, will be determined by one locus and
structurazl aspects, such as system of mating, controlled by a separate
locus. Modifier models require detailed information on the identity and
structure of polymorphic equilibria attained at each locus under
independent evolution. This information is provided by the studies carried
out under the previous project and in the first phase of the proposed
project. The proposed research will allow the quantitative investigation
of the effects of the selective pressures which arise as direct
consequences of social interactions on the course of evolution of such
interactions and the social structure as a whole. The study will serve to
promote the synthesis of the heuristics of sociobiological theory and the
strict mechanistic approach of mathematical population genetics.
本研究的主要目的是研究协同进化
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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{{ truncateString('Marcy K UYENOYAMA', 18)}}的其他基金
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