Postdoctoral Research Fellowship in Biological Informatics FY2006

2006财年生物信息学博士后研究奖学金

• 批准号: 0630774
• 负责人: Lisa Schwanz
• 金额: $ 12万
• 依托单位: Schwanz Lisa E
• 依托单位国家: 美国
• 项目类别: Fellowship Award
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-12-01 至 2008-11-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0630774&HistoricalAwards=false
• 关键词: Postdoctoral; Research; Fellowship; Biological; Informatics

Project Title: "Offspring Sex Rations in Reptiles, Birds, AND Mammals: The Importance Of Environmental Predictability" This project is awarded under the Postdoctoral Research Fellowships in Biological Informatics Program for 2006. The PI will use modeling and empirical approaches to examine whether biases in offspring sex ratios of amniote vertebrates (reptiles, birds, and mammals) are shaped by the predictability of their competitors. The models will reveal how unpredictability affects the relationship between sex ratio biases and offspring condition. Long-term, focal data from a species of turtle with temperature-dependent sex determination (TSD) and comparative, continental-scale data from non-marine reptiles with TSD will be analyzed to test the model predictions. The results of this project will provide a greater understanding of the occurrence and nature of offspring sex ratios in amniotes, including the ecological and evolutionary dynamics of TSD. The project will also predict responses of population sex ratios to climate change, and indicate when populations will go extinct if the evolutionary response is insufficiently rapid. The PI will be working in the lab of Frederic Janzen at Iowa State University where she will develop new skills in 1) analytical and simulation modeling, 2) computer programming, 3) statistical methods to analyze long-term data sets and to synthesize heterogenous, publicly-available data, and 4) mentoring of students at all levels. During the course of the proposed research she will become competitive for a faculty position at a research university by 1) conducting imaginative and synthetic research that incorporates powerful informatics approaches, 2) developing a broad biological perspective and a large scientific "tool-kit", 3) fostering national and international collaborations, and 4) gaining experience mentoring students and disseminating biology to the public.

项目名称：“爬行动物、鸟类和哺乳动物的后代性别比例：环境可预测性的重要性” 该项目是在2006年生物信息学博士后研究奖学金计划下获得的。PI将使用建模和实证方法来研究脊椎动物（爬行动物，鸟类和哺乳动物）后代性别比例的偏差是否受到其竞争对手的可预测性的影响。这些模型将揭示不可预测性如何影响性别比例偏差和后代状况之间的关系。长期，重点数据从一个物种的海龟与温度依赖性性别决定（TSD）和比较，大陆规模的数据从非海洋爬行动物与TSD将进行分析，以测试模型的预测。该项目的结果将提供一个更好的了解的发生和性质的后代性别比在tenocotes，包括生态和进化动力学的TSD。该项目还将预测人口性别比例对气候变化的反应，并指出如果进化反应不够迅速，人口何时会灭绝。PI将在爱荷华州州立大学的Frederic Janzen实验室工作，她将在1）分析和模拟建模，2）计算机编程，3）分析长期数据集和综合异质性公共数据的统计方法，以及4）指导各级学生方面发展新技能。在拟议的研究过程中，她将成为研究型大学教师职位的竞争力，1）进行富有想象力的综合研究，结合强大的信息学方法，2）开发广泛的生物学视角和大型科学“工具包”，3）促进国家和国际合作，以及4）获得指导学生和向公众传播生物学的经验。