NSF Postdoctoral Fellowship in Biology FY 2012

2012 财年 NSF 生物学博士后奖学金

• 批准号: 1202884
• 负责人: Chris Nasrallah
• 金额: $ 12.3万
• 依托单位: Nasrallah Chris A
• 依托单位国家: 美国
• 项目类别: Fellowship Award
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-01-01 至 2014-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1202884&HistoricalAwards=false
• 关键词: NSF; Postdoctoral; Fellowship; Biology; FY

A Population Genomic Approach to Modeling Insertion-Deletion Evolution Between SpeciesOne of the key ways in which genomes differ is that they have segments of DNA that have been inserted or deleted. These are known as indels, and they comprise an important class of variation both within and among species. If species are distantly related their genomes may contain many indels, potentially making the same stretch of DNA unrecognizable. But because the genomes of members of the same species are very similar, indels present are easier to identify. Genomes of many individuals will be compared in the same species to discover indels in the population. Estimates of the strength of natural selection acting on these indels of different sizes and in different parts of the genome will be used to develop a mathematical model of the evolutionary process that accounts for the size and genomic context of indels. This model will help to better understand the important role that indels play in the genomic evolution of different species.Training objectives include the strengthening of skills in genomic analysis, probabilistic modeling, and computer programming. This project bridges the fields of population genomics and statistics and will foster collaborations between researchers in different areas while directly involving undergraduate students in scientific research.

模拟物种间插入删除进化的群体基因组方法基因组的一个关键区别在于它们具有已插入或删除的 DNA 片段。这些被称为插入缺失，它们构成了物种内部和物种之间的一类重要变异。如果物种关系较远，它们的基因组可能包含许多插入/缺失，可能导致同一段 DNA 无法识别。但由于同一物种成员的基因组非常相似，因此更容易识别存在的插入缺失。将在同一物种中比较许多个体的基因组，以发现群体中的插入缺失。对作用于不同大小和基因组不同部分的这些插入缺失的自然选择强度的估计将用于开发进化过程的数学模型，该模型解释了插入缺失的大小和基因组背景。该模型将有助于更好地理解插入缺失在不同物种基因组进化中所发挥的重要作用。培训目标包括加强基因组分析、概率建模和计算机编程方面的技能。该项目架起了人口基因组学和统计学领域的桥梁，将促进不同领域研究人员之间的合作，同时直接让本科生参与科学研究。