Genetic Relatedness and Successional Structure in Polistes

马蜂的遗传相关性和演替结构

• 批准号: 9510126
• 负责人: David Queller
• 金额: $ 23万
• 依托单位: William Marsh Rice University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1995
• 资助国家: 美国
• 起止时间: 1995-10-01 至 1999-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9510126&HistoricalAwards=false
• 关键词: Genetic; Relatedness; Successional; Structure; Polistes

9510126 Queller Drs. Queller and Strassmann will work on several species of Polistes paper wasps, each chosen for characteristics that make it particularly suitable for studying one kind of conflict. . They have developed DNA microsatellite loci that will provide an unusually clear picture of the genetic structure of colonies. This research should reveal much about the expression and resolution of genetic conflicts of interest. It will test elements of kin selection theory that are relevant to a wide range of species. It may provide general insights into the evolution of other kinds of cooperative entities, from the eukaryotic cell to multicellular organisms. On the practical side, the research will utilize and contribute to the new technology surrounding microsatellite genes, a particular method of genetic fingerprinting important in many areas, including evolutionary studies, conservation genetics, forensics, and gene-mapping studies for agricultural and medical needs. It will also provide test data sets for new methods of estimating relatedness being developed in the same laboratory. Besides contributing to the training of postdoctoral and graduate students, Queller and Strassmann encourage participation of undergraduates, high school students, and teachers who take the knowledge they gain back to the classroom.

小行星9510126 Queller和Strassmann博士将研究几种Polistes纸蜂，每种纸蜂都具有特别适合研究一种冲突的特征。. 他们已经开发出DNA微卫星位点，这将为殖民地的遗传结构提供异常清晰的图像。 这项研究应该揭示很多关于遗传利益冲突的表达和解决。 它将测试亲属选择理论中与广泛物种相关的要素。 它可以提供其他种类的合作实体的进化，从真核细胞到多细胞生物体的一般见解。 在实践方面，这项研究将利用和促进围绕微卫星基因的新技术，这是一种在许多领域，包括进化研究、保护遗传学、法医学和农业和医疗需要的基因图谱研究中非常重要的遗传指纹鉴定方法。 它还将为同一实验室正在开发的估计相关性的新方法提供测试数据集。 除了为博士后和研究生的培训做出贡献外，Queller和Strassmann还鼓励本科生、高中生和教师参与，他们将获得的知识带回课堂。