U.S. - Belgium Cooperative Research: Classification of Rhizomonas and Rhizomonas - Like Bacteria

美国-比利时合作研究：根单胞菌和根单胞菌类细菌的分类

• 批准号: 9123550
• 负责人: Ariena van Bruggen
• 金额: $ 0.8万
• 依托单位: University of California-Davis
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1992
• 资助国家: 美国
• 起止时间: 1992-08-01 至 1993-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9123550&HistoricalAwards=false
• 关键词: U.S.; Belgium; Cooperative; Research; Classification

This award supports U.S.-Belgium cooperative research in systematic biology between Ariena H.C. van Bruggen of the University of California at Davis and Monique Gillis of Ryks University in Gent, Belgium. The objective of their research is to investigate the taxonomy of the genus Rhizomonas and recently isolated Rhizomonas-like bacteria. The investigators will determine the relationships among soil borne bacteria closely related to Rhizomonas and classify the different groups found within Rhizomonas. They will use modern methods of DNA and RNA sequencing, hybridization studies in developing data for classification of the groups. The U.S. group brings to this collaboration their expertise in rDNA sequencing. This is complemented by the Gent's group expertise in DNA and RNA hybridization and their extensive data base on bacterial genera. The taxonomy and relationships among groups of soil-borne bacteria have not been studied widely despite their possible use for biological control of plant pathogens and Further classification will provide scientists with a means for differentiating among useful and harmful bacteria. The project will provide new data on rRNA methods system that could be applied to the classification of the majority of bacteria.

该奖项支持美国-比利时合作研究 Ariena H.C.货车布鲁根 加州大学戴维斯分校和里克斯的莫尼克·吉利斯 比利时根特大学。 他们研究的目的是 对根单胞菌属的分类进行了研究， 分离的类根单胞菌。 调查人员将确定 土传细菌之间的关系密切相关， 根单胞菌属，并对其中发现的不同类群进行分类 根单胞菌属 他们将使用DNA和RNA的现代方法 测序，杂交研究， 群体的分类。 美国集团为此带来了 他们在rDNA测序方面的专业知识。 这是 再加上Gent在DNA和RNA领域的专业知识， 杂交及其基于细菌属广泛数据。 土传真菌的分类及其类群间的关系 细菌尚未被广泛研究，尽管它们可能用于 植物病原菌的生物防治和进一步的分类将 为科学家提供了一种区分有用和 有害细菌。该项目将提供有关rRNA的新数据 方法系统，可应用于分类的 大多数细菌。