DISSERTATION RESEARCH: Can the degree of mimicry predict levels of genetic structure among populations? A test using mimetic ground beetles

论文研究：拟态程度可以预测人群之间的遗传结构水平吗？

基本信息

批准号：
1601260
负责人：
L. Lacey Knowles
金额：
$ 2.02万
依托单位：
Regents of the University of Michigan - Ann Arbor
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2016
资助国家：
美国
起止时间：
2016-06-01 至 2018-05-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1601260&HistoricalAwards=false
关键词：
DISSERTATION RESEARCH degree mimicry predict

项目摘要

This project will analyze spatial patterns of genetic diversity in a novel mimicry system from South America to investigate whether the processes driving resemblance in mimicry systems can also promote diversity within species. Mimicry systems, where multiple species evolve mutual resemblance to reduce predation, are excellent natural laboratories to study the processes generating biodiversity. Species in mimetic systems often exhibit diverse geographic morphologies, which raises questions about how this diversity originated and is maintained. Addressing this question will quantify the role of natural selection in promoting and maintaining genetic differentiation among populations. Additionally, this research will provide a basis for using morphological traits to predict levels of genetic structure. The later will be especially useful for conservation purposes, particularly in groups or systems in which genetic data might not be available.These goals will be addressed by conducting a fine scale landscape genetic study on mimetic beetles from the genus Ceroglossus using next generation sequencing data. Samples will be collected across areas with different geographic morphs and levels of phenotypic matching, and from two or three different species. Correlation tests between color differences and genetic differentiation will inform whether selection for mimicry can impact levels of genetic structure, whereas model-based demographic inferences will provide statistical rigor to distinguish between specific mechanisms driving such patterns. This project will encourage collaborative work with Chilean researchers and students on the study of a new and fascinating model system.

该项目将在南美的新型模仿系统中分析遗传多样性的空间模式，以研究驱动模仿系统中相似之处的过程是否也可以促进物种内的多样性。模仿系统，多种物种会进化相似之处以减少捕食，这是研究产生生物多样性过程的出色自然实验室。模拟系统中的物种经常表现出多种地理形态，这引发了有关这种多样性如何产生和维持的疑问。解决这个问题将量化自然选择在促进和维持种群之间遗传分化中的作用。此外，这项研究将为使用形态学特征预测遗传结构水平提供基础。以后的目的将特别有用，尤其是在可能无法获得遗传数据的组或系统中。这些目标将通过使用下一代测序数据对ceroglossus属的微型景观遗传研究来解决。将在具有不同地理形态和表型匹配水平的区域以及两个或三个不同的物种中收集样品。颜色差异与遗传分化之间的相关测试将告知模仿选择是否会影响遗传结构的水平，而基于模型的人口统计学推论将为统计严格的统计来区分驱动这种模式的特定机制。该项目将鼓励与智利研究人员和学生合作研究新的有趣的模型系统。