The Evolutionary Genomics of Invasive Weedy Rice

入侵杂草稻的进化基因组学

• 批准号: 0638820
• 负责人: Kenneth Olsen
• 金额: $ 112.15万
• 依托单位: Washington University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-10-01 至 2010-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0638820&HistoricalAwards=false
• 关键词: Evolutionary; Genomics; Invasive; Weedy; Rice

PI: Kenneth M. Olsen (Washington University St. Louis)Co-PIs: Ana Caicedo (University of Massachusetts, Amherst), Yulin Jia (University of Arkansas)Red rice is a weedy form of cultivated rice (Oryza sativa L.) that competesaggressively with the crop in the southern U.S., reducing yields andcontaminating harvests with its small, dark grain. Previous assessments ofgenetic diversity suggest that some red rice strains are closely related to wildAsian Oryza species, others resemble Asian domesticated rice, and others showclose genetic similarity to U.S. crop varieties. This project examines DNAsequence diversity and linkage disequilibrium in genomic regions underlyingseveral weed-associated traits in U.S. red rice and in randomly selected locidistributed across the genome. DNA sequence data generated by the project willbe used to compare alternative hypotheses on the roles of foreign weedintroduction, hybridization, and selection in shaping the red rice genome. Thesedata will be important in determining the origin(s) of the weed and the geneticmechanisms by which it adapts to U.S. agricultural fields. These insights canprovide information towards devising effective weed control strategies.Access to project outcomes:DNA sequence data generated from the project will be available through Genbank (http://www.ncbi.nlm.nih.gov/) and Gramene (http://www.gramene.org/), as well as a project website accessible via http://biology4.wustl.edu/olsen/.

PI：Kenneth M.Olsen(华盛顿大学圣路易斯分校)共同Pis：Ana Caicedo(马萨诸塞大学阿默斯特分校)，玉林佳(阿肯色大学)红米是栽培水稻(Oryza sativa L.)的杂草形式这与美国南部的作物展开了激烈的竞争，降低了产量，并因其细小的深色谷物而污染了收成。先前对遗传多样性的评估表明，一些红米品系与亚洲野生稻种密切相关，其他品系与亚洲驯化水稻相似，其他品系与美国作物品种表现出密切的遗传相似性。该项目研究了美国红稻中几个杂草相关性状背后的基因组区域的DNA序列多样性和连锁不平衡，以及分布在基因组上的随机选择的位置。该项目产生的DNA序列数据将被用来比较关于外来杂草引进、杂交和选择在塑造红米基因组中的作用的不同假设。这些数据将对确定杂草的来源(S)以及它适应美国农田的遗传机制具有重要意义。这些见解可以为设计有效的杂草控制策略提供信息。获得项目成果：项目产生的DNA序列数据将通过Genbank(http://www.ncbi.nlm.nih.gov/)和Gramene(http://www.gramene.org/)，)以及可通过http://biology4.wustl.edu/olsen/.访问的项目网站获得