本文应用De novo测序技术对一种未经测序的啤酒易感乳杆菌进行全基因组研究，包括全基因组遗传信息的首次获取以及基因功能的生物信息学分析与注释。通过对1株从啤酒中分离获得的乳杆菌基因组DNA进行提取与纯化，构建了符合质量要求的测序文库，并进行了De novo测序；通过对De novo测序数据进行筛选与质量评价，进一步对筛选后的数据进行了De novo组装与结果评价，最后获得乳杆菌全基因组序列；在获得全基因组序列的基础上，对全基因组序列进行基因预测，并对预测基因进行GO基因功能注释、COG基因功能注释与KEGG生物通路注释，获取了该乳杆菌的基因序列与基因功能信息。该乳杆菌全基因组测序数据与组装结果良好，获得的序列中共有1,824个预测基因，其中分别有545、1,303、120条预测基因有相应的GO、COG、KEGG注释。本研究为该啤酒易感乳杆菌功能基因的研究与生物信息学分析提供了基础数据和技术参考。

The whole genome of a typical hard-to-culture beer-spoilage Lactobacilli strain which had never been sequenced was analysized. The Lactobacilli strain was isolated from beer and its genomic DNA was extracted and purified. A high-quality sequencing library was constructed and the whole genome sequencing was then performed using De novo system. The sequences were further analyzed and the predicted genes were obtained, including GO gene function, COG gene function and KEGG pathway. In the whole genome sequences of this Lactobacilli strain, 1,824 genes were predicted and 545, 1,303, and 120 of them had GO, COG, and KEGG annotation, respectively. This study may provide more references for the study of functional gene and bioinformatics analysis of the beer-spoilage lactobacilli strains .

“十二五”国家科技支撑项目（2012BAD37B01）；广东省科技计划项目（E8140475）；国家973计划项目（2012CB720800）；国家自然科学基金青年基金项目（31201362）；广东省优秀博士学位论文作者资助项目（K3140030）；中央高校基本科研业务费面上项目（2012ZM0060）