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粪肠球菌噬菌体vB_E. faecalis_IME196的生物学特性及其全基因组分析
引用本文:邢少贞,张湘莉兰,舒鹏,孙强,裴广倩,米志强,安小平,王景林,赵宝华,童贻刚.粪肠球菌噬菌体vB_E. faecalis_IME196的生物学特性及其全基因组分析[J].微生物学通报,2016,43(9):2040-2048.
作者姓名:邢少贞  张湘莉兰  舒鹏  孙强  裴广倩  米志强  安小平  王景林  赵宝华  童贻刚
作者单位:1. 河北师范大学 河北 石家庄 050024;2. 军事医学科学院微生物流行病研究所 北京 100071,2. 军事医学科学院微生物流行病研究所 北京 100071,2. 军事医学科学院微生物流行病研究所 北京 100071,2. 军事医学科学院微生物流行病研究所 北京 100071,2. 军事医学科学院微生物流行病研究所 北京 100071,2. 军事医学科学院微生物流行病研究所 北京 100071,2. 军事医学科学院微生物流行病研究所 北京 100071,2. 军事医学科学院微生物流行病研究所 北京 100071,1. 河北师范大学 河北 石家庄 050024+E118:E136,2. 军事医学科学院微生物流行病研究所 北京 100071
基金项目:科技重大专项“十二五”实施计划项目(No. 2013ZX10004-605,2013ZX10004-217,2013ZX10004-607,2011ZX10004-001);国家高技术研究发展计划项目(863计划)(No. 2014AA021402,2012AA022-003);国家自然科学基金项目(No. 81572045)
摘    要:【目的】从医院污水中分离一株能裂解多耐药粪肠球菌的噬菌体,分析该噬菌体的生物学特性,并进行全基因组测序和分析,为治疗和控制多耐药粪肠球菌感染提供基础。【方法】以耐药粪肠球菌为宿主,从医院污水分离噬菌体,双层平板法检测噬菌体效价、最佳感染复数(MOI)和一步生长曲线,纯化后负染法电镜观察噬菌体形态;蛋白酶K/SDS法提取噬菌体全基因组,酶切处理后琼脂糖凝胶电泳分析,使用Ion Torrent测序平台进行噬菌体全基因组测序,测序后进行噬菌体全基因组序列组装、注释、进化分析和比较分析。【结果】分离到一株粪肠球菌噬菌体,命名为v B_E.faecalis_IME196(IME196);其最佳感染复数为0.01,一步生长曲线显示IME196的潜伏期为30 min,暴发量为50 PFU,电镜观察该噬菌体为长尾噬菌体,结合BLASTp分析确定其属于尾病毒目长尾噬菌体科,基因测序表明,噬菌体IME196核酸类型为DNA,基因组全长为38 895 bp,G+C含量为33.9%。【结论】分离鉴定一株粪肠球菌噬菌体,进行了全基因组测序和分析,为以后预防和控制粪肠球菌的感染提供了一个新的途径,为噬菌体治疗多重耐药细菌奠定了基础。

关 键 词:噬菌体,粪肠球菌,生物学特性,全基因组测序,基因组分析

Characterization and complete genome sequence analysis of Enterococcus faecalis bacteriophage vB_E. faecalis_IME196
XING Shao-Zhen,ZHANG Xiang-Li-Lan,SHU Peng,SUN Qiang,PEI Guang-Qian,MI Zhi-Qiang,AN Xiao-Ping,WANG Jing-Lin,ZHAO Bao-Hua and TONG Yi-Gang.Characterization and complete genome sequence analysis of Enterococcus faecalis bacteriophage vB_E. faecalis_IME196[J].Microbiology,2016,43(9):2040-2048.
Authors:XING Shao-Zhen  ZHANG Xiang-Li-Lan  SHU Peng  SUN Qiang  PEI Guang-Qian  MI Zhi-Qiang  AN Xiao-Ping  WANG Jing-Lin  ZHAO Bao-Hua and TONG Yi-Gang
Institution:1. Hebei normal university, Shijiazhuang, Hebei 050024, China; 2. Beijing Institute of Microbiology and Epidemiology, Beijing 100071, China,2. Beijing Institute of Microbiology and Epidemiology, Beijing 100071, China,2. Beijing Institute of Microbiology and Epidemiology, Beijing 100071, China,2. Beijing Institute of Microbiology and Epidemiology, Beijing 100071, China,2. Beijing Institute of Microbiology and Epidemiology, Beijing 100071, China,2. Beijing Institute of Microbiology and Epidemiology, Beijing 100071, China,2. Beijing Institute of Microbiology and Epidemiology, Beijing 100071, China,2. Beijing Institute of Microbiology and Epidemiology, Beijing 100071, China,1. Hebei normal university, Shijiazhuang, Hebei 050024, China and 2. Beijing Institute of Microbiology and Epidemiology, Beijing 100071, China
Abstract:Objective] We isolated a novel virulent bacteriophage specifically infecting antibiotics-resistant Enterococcus faecalis from hospital sewage, to study its morphology and to analyze its genome so as to provide basis for treatment and infection control of antibiotics-resistant E. faecalis. Methods] We used E. faecalis as the host to isolate phage from raw sewage from the sewage treatment center of a hospital. Transmission electromicroscopy, optimal multiplicity of infection (optimal MOI) and one-step growth curve were conducted. The genome DNA was extracted and sequenced by high-throughput sequencing technology. The feature of whole genome, and evolutionary relationship were analyzed. Results] A lytic bacteriophage designated as vB_E. faecalis_IME196 (IME196) was isolated. The optimal multiplicity of infection (optimal MOI) of IME196 is 0.01. One-step growth curve shows that IME196 has a burst size of 50 PFU and a latent period of 30 min. The genome of IME196 is a 38 895 bp in length, linear, terminally non-redundant double-stranded DNA and has a G+C content of 33.9%. Conclusion] Isolation and characterization of a lytic Enterococcus faecalis phage will help supply a new way to prevent and control the infection of E. faecalis, and laid a foundation to the treatment of multiple drug resistant bacteria in the future.
Keywords:Phage  Enterococcus faecalis  Biological characteristics  Whole genomic sequencing  Genomics
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