Quantitative genetic models of vital rate evolution in age-structured populations

年龄结构人群生命率演变的定量遗传模型

• 批准号: 0717234
• 负责人: Daniel Promislow
• 金额: --
• 依托单位: University of Georgia Research Foundation Inc
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-09-01 至 2009-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0717234&HistoricalAwards=false
• 关键词: Quantitative; genetic; models; vital; rate

Models that are designed to predict evolutionary changes in demographic rates assume that populations are stable over time. But most real populations violate this assumption. For example, in human populations, over the past two centuries demographers have witnessed a dramatic increase in survival rates and an equally dramatic decline in reproductive rates. New and more realistic models for evolution in age-structured populations are needed. This project has as its central aim the development of such a model. The model will rely on a set of theoretical quantitative genetic tools that have been developed over the past half century, but which have not hitherto been applied to questions related to demography.This work should prove a valuable contribution on a variety of levels. A large body of evolutionary theory rests on models of evolution in age-structured populations. The new and more general model proposed here will help further our understanding of numerous fundamental evolutionary questions, including studies on the biology of aging, host-parasite interactions, and the origin of cooperation. These are all problems with direct impact on human populations, lending broader significance to this work.

用于预测人口统计率演变的模型假定人口在一段时间内是稳定的。但大多数真实的种群都违背了这一假设。例如，在过去的两个世纪里，人口学家目睹了人类存活率的急剧上升和生殖率的急剧下降。需要新的和更现实的年龄结构人口的进化模型。该项目的中心目标是开发这样一个模型。该模型将依赖于一套在过去半个世纪中发展起来的理论定量遗传工具，但迄今为止尚未应用于与人口统计学有关的问题，这项工作应证明是在各种层面上的宝贵贡献。大量的进化理论建立在年龄结构种群的进化模型上。这里提出的新的和更普遍的模型将有助于我们进一步理解许多基本的进化问题，包括对衰老的生物学，宿主-寄生虫相互作用和合作的起源的研究。这些都是直接影响人类的问题，使这项工作具有更广泛的意义。