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Integrative Analysis of Genome, Transcriptome and Epigenome Data from Coevolved Bacillus Thuringiensis Strains CLUSTER: "Experimental Evolution and Natural Variation of Bacillus-Invertebrate Interactions"

Integrative Analysis of Genome, Transcriptome and Epigenome Data from Coevolved Bacillus Thuringiensis Strains CLUSTER: "Experimental Evolution and Natural Variation of Bacillus-Invertebrate Interactions"
共同进化苏云金芽孢杆菌菌株簇的基因组、转录组和表观基因组数据的综合分析:“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:
224691797
负责人:
Privatdozent Dr. Heiko Liesegang
金额:
$0.0万
依托单位国家:
德国
项目类别:
Priority Programmes
财政年份:
2012
资助国家:
德国
项目状态:
已结题
起止时间:
2011-12-31 至 2015-12-31

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中文摘要
翻译
本项目将研究寄生虫和宿主在进化过程中的相互基因组适应及其对基因活性的影响。因此,基因组、转录组和表观基因组数据将通过高通量测序方法产生。首先,我们将对苏云金芽孢杆菌MBYT18247和407的三个宿主-寄生虫共同进化实验中的突变事件进行定量、表征和定位。数据将通过a)高覆盖基因组测序来确定序列变异,b)单分子测序来确定宿主和寄生虫基因组来自原始和进化物质的甲基化状态。为了确定与菌株适应相关的突变,将对来自进化实验不同时间点的寄生虫/宿主样本进行基于RNA-seq的比较转录分析。由此产生的数据将用生物信息学方法进行“深度”分析,并用于建立寄生虫基因组的动态结构模型。对具有不同活性和表型的突变基因进行功能分析,可以通过在野生型菌株上重建突变体,然后进行感染实验。功能分析代表了最终的实验工作。这些实验为苏云金芽孢杆菌的进化机制提供了新的思路,由于基因组结构的高度相似性,这可能推广到整个芽孢杆菌属。
英文摘要
In the proposed project the reciprocal genomic adaptations of parasites and hosts during evolutionary processes and their impact on the gene activity shall be investigated. Therefore genome-, transcriptome- and epigenome data will be produced by high throughput sequencing methods. First a quantification, characterization and localization of the mutation events during three host-parasite coevolution experiments with Bacillus thuringiensis MBYT18247 and 407 will be performed. The data will be generated by a) high coverage genome sequencing for the determination of sequence variation and b) single molecule sequencing for the determination of the methylation status of host and parasite genomes from the original and the evolved material. To identify mutations relevant for strain adaptation a comparative RNA-seq based transcription analysis of parasite/host samples from different time points of the evolution experiment will be performed. The thus generated data shall be analyzed in an “in depth” analysis with bioinformatics methods and be used to develop a dynamic structural model of the parasite genome. A functional analysis of mutated genes with varied activity and phenotype might be done by the target reconstruction of the mutants on wild type strains followed by infection experiments. The functional analysis represents the final experimental work. The suggested experiments promise insights in the evolutionary mechanisms of the species Bacillus thuringiensis which might, due to the high similarity of genome structures, may be generalized to the whole genus Bacillus.
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