Genomics Analysis Platform for the Bacillus-Invertebrate Cluster CLUSTER: "Experimental Evolution and Natural Variation of Bacillus-Invertebrate Interactions"

芽孢杆菌-无脊椎动物簇基因组分析平台 CLUSTER：“芽孢杆菌-无脊椎动物相互作用的实验进化和自然变异”

• 批准号: 132321081
• 负责人: Professor Dr. Philip Caspar Rosenstiel, Ph.D.
• 金额: --
• 依托单位: Institut für Klinische Molekularbiologie
• 依托单位国家: 德国
• 项目类别: Priority Programmes
• 财政年份: 2009
• 资助国家: 德国
• 起止时间: 2008-12-31 至 2015-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/132321081?language=en
• 关键词: Genomics; Analysis; Platform; Bacillus; Invertebrate

Host-parasite coevolution is predicted to have complex consequences on the genetic architecture of both interacting species. These consequences may relate to the mechanisms that are of direct relevance to the interaction (e.g., resistance, pathogenicity) or associate with a possible cost of coadaptation (e.g. life-history trade-offs). To date, we lack conclusive information on the genetics that underlie the coevolutionary process. The Genomics Analysis Platform (GAP) aims at a comprehensive genomic and transcriptomic analysis of organisms generated by the research projects of the Bacillus-lnvertebrate Cluster within the priority programme SPP 1399. Our approach is based on state-of-the-art sequencing technology combined with detailed bioinformatic and population genetic data analysis. We focus on organisms from several laboratory controlled evolution experiments, which specifically address the dynamics of reciprocal host-parasite coevolutionary adaptations. These organisms belong to three completely sequenced model taxa, the micro-parasite Bacillus thuringiensis and two of its invertebrate hosts, the nematode Caenorhabditis elegans and the insect Tribolium castaneum. They are thus ideally accessible to an unbiased whole genome screening approach. Based on this unique material with a known evolutionary history, our approach will yield in-depth insight into the genetic basis and dynamics of host-parasite coevolution.

预计宿主-寄生虫共同进化会对两个相互作用物种的遗传结构产生复杂的影响。这些后果可能与与相互作用直接相关的机制（例如耐药性、致病性）有关，或者与可能的共同适应成本相关（例如生活史权衡）。迄今为止，我们缺乏关于共同进化过程的遗传学确凿信息。基因组分析平台 (GAP) 旨在对优先计划 SPP 1399 中芽孢杆菌-无脊椎动物群的研究项目产生的生物体进行全面的基因组和转录组分析。我们的方法基于最先进的测序技术，结合详细的生物信息学和群体遗传数据分析。我们关注来自几个实验室控制进化实验的生物体，这些实验专门解决了宿主-寄生虫相互协同进化适应的动态。这些生物体属于三个完全测序的模型类群：微型寄生虫苏云金芽孢杆菌及其两种无脊椎动物宿主：线虫秀丽隐杆线虫和昆虫赤拟谷盗。因此，它们非常适合采用公正的全基因组筛选方法。基于这种具有已知进化历史的独特材料，我们的方法将深入了解宿主-寄生虫协同进化的遗传基础和动态。