Robotics System for Physical Mapping of Fungal Genomes

用于真菌基因组物理作图的机器人系统

• 批准号: 9512887
• 负责人: Jonathan Arnold
• 金额: $ 12.12万
• 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: 1996
• 资助国家: 美国
• 起止时间: 1996-03-15 至 1999-02-28
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9512887&HistoricalAwards=false
• 关键词: Robotics; System; Physical; Mapping; Fungal

Physical maps of whole chromosomes have placed an essential role in a number of fundamental breakthroughs in genetics. The completion of high resolution physical maps of three model genetic systems, Aspergillus nidulans, Neurospora crassa, and Magnaporthe grisea, and of other fungi such as Nectria haematococca, is likely to open up new avenues of research on the molecular and evolutionary genetics of fungi. By building a 29 kilobase (kb) resolution physical map of the A. nidulans genome, we have made the striking observation that there is an alternating banding pattern in the distribution of repeated sequences along the chromosomes of A. nidulans. This observation has implications for development, functional organization of genomes, chromosome structure and function, recombination, and genome evolution. In this proposal we plan to specify and acquire a robotics system for physical mapping which will enable several laboratories to ascertain whether or not other filamentous fungi, such as N. crassa and M. grisea, share this banding pattern in repeated sequences along their chromosomes. This robotics system will be maintained by the Fungal Genome Resource (FGR) at the University of Georgia and will serve the fungal genetics community as a whole by providing an array of new experimental strategies to address a broad class of problems in fungal ,genetics.

整个染色体的物理图谱在许多遗传学研究中发挥了重要作用。 遗传学上的重大突破高分辨率物理地图的完成 三个模式遗传系统，构巢曲霉、粗糙脉孢菌和Magnaporthe 稻瘟病菌和其他真菌，如赤壳菌，可能会开辟新的途径， 真菌的分子遗传学和进化遗传学研究。通过构建一个29 kb的 分辨率物理图的A.我们在nidulans基因组中， 在重复序列的分布中存在交替的条带模式，沿着沿着 A. nidulans。这一观察结果对发展、功能 基因组的组织、染色体结构和功能、重组和基因组 进化在这项提案中，我们计划指定并获得一个机器人系统， 这将使几个实验室能够确定是否有其他丝状 真菌，如N. crassa和M.稻瘟病菌，在重复序列中共享此带型 沿着他们的染色体。这个机器人系统将由真菌基因组 资源（FGR）在格鲁吉亚大学，并将服务于真菌遗传学界 作为一个整体，通过提供一系列新的实验策略，以解决广泛的一类 真菌遗传学的问题