Microbial Genome Sequencing: Phylogeny to Function: Genomic Analyses of Dominant, Uncultured Soil Bacteria

微生物基因组测序：从系统发育到功能：主要未培养土壤细菌的基因组分析

• 批准号: 0135880
• 负责人: Thomas Schmidt
• 金额: $ 65.12万
• 依托单位: Michigan State University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2001
• 资助国家: 美国
• 起止时间: 2001-09-15 至 2005-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0135880&HistoricalAwards=false
• 关键词: Microbial; Genome; Sequencing; Phylogeny; Function

Soils constitute a huge reservoir of microbes whose activities have a profound impact on global warming potential, on crop productivity, and on soil fertility and biogeochemistry. However, the vast majority of soil microbes remain uncultured, so knowledge about them is meager. Among the major and consistently present, but not-yet-cultured, microbial groups identified by cultivation-independent molecular methods are members of the Acidobacteria, Verrucomicrobia, Planctomycetes and alpha-Proteobacteria. In an effort to move beyond phylogenetic recognition and enumeration of these groups to their functionality, a genomics approach is being conducted. A novel way was devised to create large (100-150 kb) insert libraries of genomic DNA from soil such that one end of each insert is phylogenetically informative and is flanked by a large portion of genomic sequence. From such libraries, clones are being selected that capture the phylogenetic diversity and breadth of each target microbial group (above) and the inserts are being sequenced to identify genes associated with distinctive modes of nutrition and metabolism, e.g. autotrophy, diazotrophy, denitrification. Between 250-750 kb of genomic information (at * 3X coverage) can be obtained from each of 22 different not-yet-cultured soil microbes with the same effort required to sequence a complete 5 MB genome of a bacterium already in culture. From such information, the metabolic potential of the target organisms and their probable role(s) in soil ecosystems can be realized. The emerging database of sequences will help guide future work on these organisms, as well as ongoing efforts to obtain them in pure culture. Sequence data is being made available through the Ribosomal Database Project (RDP) and through GenBank. In addition to providing the sequences for additional analyses, the RDP server will present the data in a evolutionary context by linkage of sequence data to an organismal phylogeny. This is a Microbial Genome Sequencing Award funded through a collaborative program between the National Science Foundation and the Department of Agriculture Initiative for Future Agriculture and Food Systems.

土壤是一个巨大的微生物库，它们的活动对全球变暖潜势、作物生产力、土壤肥力和生物地球化学都有深远的影响。然而，绝大多数土壤微生物仍未被培养，因此对它们的了解很少。在主要的和持续存在的，但尚未培养的微生物群中，通过培养独立的分子方法鉴定的微生物群是酸杆菌，Verrucomicrobia， plantomycetes和α -变形菌门。为了超越系统发育识别和枚举这些群体的功能，正在进行基因组学方法。设计了一种新的方法，从土壤中创建大型（100-150 kb）基因组DNA插入文库，使得每个插入的一端具有系统发育信息，并且两侧有很大一部分基因组序列。从这些文库中，正在选择克隆，以捕获每种目标微生物群的系统发育多样性和广度（上图），并对插入物进行测序，以确定与独特的营养和代谢模式相关的基因，例如自养、重氮养、反硝化。从22种不同的尚未培养的土壤微生物中，每一种都可以获得250-750 kb的基因组信息（覆盖率为* 3X），所需的努力与对已经培养的细菌进行完整的5mb基因组测序相同。根据这些信息，可以了解目标生物的代谢潜力及其在土壤生态系统中的可能作用。新兴的序列数据库将有助于指导未来对这些生物的研究，以及在纯培养中获得它们的持续努力。序列数据通过核糖体数据库项目（RDP）和GenBank提供。除了提供用于附加分析的序列外，RDP服务器还将通过序列数据与生物系统发育的链接，在进化环境中呈现数据。这是一个微生物基因组测序奖，由美国国家科学基金会和农业部未来农业和粮食系统倡议合作项目资助。