QEIB: General Genetic Models of the Geographic Mosaic Theory of Coevolution

QEIB：共同进化地理马赛克理论的一般遗传模型

• 批准号: 0343023
• 负责人: Scott Nuismer
• 金额: $ 23.66万
• 依托单位: Regents of the University of Idaho
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2004
• 资助国家: 美国
• 起止时间: 2004-04-15 至 2008-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0343023&HistoricalAwards=false
• 关键词: QEIB; General; Genetic; Models; Geographic

Coevolution plays a central role in shaping biological diversity, molding the structure of biological communities, and driving tight coadaptation between interacting species. Over shorter ecological time scales coevolution also generates chronic maladaptation and maintains substantial levels of genetic polymorphism. The geographic mosaic theory of coevolution provides a unifying framework for these disparate aspects of the coevolutionary process. The overarching goal of this proposal is to develop a rigorous theoretical backbone for this theory. This will be achieved through the application of recently developed mathematical techniques that greatly simplify the analysis of complex genetic systems. The broader impacts of the proposed work are twofold. First, the models will extend previously developed mathematical techniques to coevolving systems. The result will be the development of new and powerful analytical tools that can be readily applied to a diverse array of problems in coevolutionary biology. The distribution of this analytical technology will be facilitated by public presentation of techniques at annual meetings, and by the publication of electronic Mathematica appendices. Second, the training component of the proposed work will introduce two graduate students and an undergraduate to these new mathematical techniques, as well as other computational and analytical approaches. This training will directly contribute to the increased integration of analytical and computational techniques in the biological sciences.

共同进化在塑造生物多样性、塑造生物群落结构和推动相互作用物种之间的紧密共同适应方面发挥着核心作用。在较短的生态时间尺度上，共同进化也会产生慢性的不适应，并维持大量的遗传多态性。共同进化的地理马赛克理论为共同进化过程的这些不同方面提供了一个统一的框架。本提案的首要目标是为这一理论建立一个严谨的理论支柱。这将通过应用最近开发的数学技术来实现，这些技术大大简化了复杂遗传系统的分析。拟议工作的更广泛影响是双重的。首先，这些模型将把以前开发的数学技术扩展到共同进化的系统。其结果将是开发出新的强大的分析工具，可以很容易地应用于共同进化生物学中的各种问题。通过在年度会议上公开介绍技术和出版电子Mathematica附录，将促进这种分析技术的分发。其次，所提议的工作的训练部分将向两名研究生和一名本科生介绍这些新的数学技术，以及其他计算和分析方法。这种培训将直接促进生物科学中分析和计算技术的进一步整合。