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Doctoral Dissertation Research: Effects of Paleopolploidy on Genome Composition and Evolution in Agavaceae

博士论文研究：古多倍体对龙舌兰科基因组组成和进化的影响

基本信息

批准号：
1010905
负责人：
James Leebens-Mack
金额：
$ 1.49万
依托单位：
University of Georgia Research Foundation Inc
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2010
资助国家：
美国
起止时间：
2010-06-01 至 2012-05-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1010905&HistoricalAwards=false
关键词：
Doctoral Dissertation Research Effects Paleopolploidy

项目摘要

Whole genome duplication, or polyploidy, is an important phenomenon in evolution and has been characterized in several different lineages including vertebrates, fungi and land plants. Polyploidy is especially prevalent in flowering plants where most, if not all, species have had a genome duplication event at some point in their evolutionary history. Analyses of protein-coding DNA sequences and chromosome size variation suggest that the origin and early diversification of the flowering plant family Agavaceae may have been spurred by genome duplication. This study will utilize high-throughput sequencing of hundreds of genes in species representing all major lineages in Agavaceae to test this hypothesis, and to assess how divergence in gene content and gene function have influenced speciation and chromosomal evolution.The findings of this study will contribute to a growing understanding of factors influencing the fate of duplicate genes following whole genome duplication events. In addition, the project includes a substantial training component. The research will employ state-of-the-art gene capture, sequencing and computational technologies. Undergraduates will be trained in these technologies and will learn how to perform comparative genetic analyses.

全基因组复制或多倍体是进化中的一个重要现象，在包括脊椎动物、真菌和陆生植物在内的几个不同谱系中都有其特征。多倍体在开花植物中特别普遍，其中大多数（如果不是全部）物种在其进化历史的某个时刻都有基因组复制事件。蛋白质编码DNA序列和染色体大小变异的分析表明，开花植物龙舌兰科的起源和早期多样化可能是由基因组复制刺激的。本研究将利用高通量测序的数百个基因的物种代表所有主要谱系龙舌兰科来测试这一假设，并评估基因内容和基因功能的分歧如何影响物种形成和染色体evolution.The研究结果将有助于不断了解的因素影响重复基因的命运以下全基因组重复事件。此外，该项目还包括一个实质性的培训部分。该研究将采用最先进的基因捕获，测序和计算技术。本科生将接受这些技术的培训，并将学习如何进行比较遗传分析。