International: Collaborative Advancement in Analytical and Theoretical Metapopulation Statistical Genetics

国际：分析和理论复合种群统计遗传学的合作进展

• 批准号: 1139716
• 负责人: Douglas Taylor
• 金额: $ 1.48万
• 依托单位: University of Virginia Main Campus
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-08-15 至 2013-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1139716&HistoricalAwards=false
• 关键词: International; Collaborative; Advancement; Analytical; Theoretical

This project supports a collaboration between Dr. Douglas Taylor and his student, Mr. Peter Fields, in the Department of Biology at the University of Virginia, and Dr. Oscar Gaggiotti in the Laboratoire d?Ecologie Alpine at the University of Grenoble in France. This proposal will fund two long-term visits for Fields to the University of Grenoble in the Fall of 2011 and Summer of 2012. The collaboration will develop analytical and computational methods to analyze genetic data from natural populations. The proposed research leverages Gaggiotti?s expertise in population genetic analysis and software design and an unparalleled 24+ year metapopulation dataset of the angiosperm Silene latifolia. This collaboration is an exciting opportunity to refine statistical tools and ground truth population genetics methods with a long-term metapopulation dataset. The proposed research will allow for better understanding of the genetics of spatially distributed populations, or metapopulations. Additionally, the proposed research will parse out the relative roles of random and selective forces in shaping patterns of genetic diversity. Understanding evolutionary processes in metapopulations is of practical and applied importance for conservation biology, invasion biology, and for understanding potential responses to habitat fragmentation. In terms of deliverables, resulting software will be made freely available to researchers, being published under the GNU General Public License and distributed by the Free Software Foundation (http://www.gnu.org/licenses/).

该项目支持弗吉尼亚大学生物系的道格拉斯·泰勒博士和他的学生彼得·菲尔兹先生与法国格勒诺布尔大学阿尔卑斯生态实验室的奥斯卡·加乔蒂博士之间的合作。这项建议将为菲尔兹在2011年秋季和2012年夏季对格勒诺布尔大学的两次长期访问提供资金。这项合作将开发分析和计算方法来分析自然种群的基因数据。这项拟议的研究利用了Gaggiotti？S在种群遗传分析和软件设计方面的专业知识，以及无与伦比的被子植物宽叶锡兰24年以上集合种群数据集。这一合作是一个令人兴奋的机会，可以用长期的集合种群数据集来改进统计工具和基础真实种群遗传学方法。拟议的研究将有助于更好地理解空间分布的种群或集合种群的遗传学。此外，这项拟议的研究将分析随机和选择性力量在形成遗传多样性模式方面的相对作用。了解集合种群的进化过程对于保护生物学、入侵生物学以及理解栖息地片断化的潜在反应具有重要的实用价值和应用价值。在可交付内容方面，生成的软件将免费提供给研究人员，在GNU通用公共许可证下发布，并由自由软件基金会(http://www.gnu.org/licenses/).)分发