摘要
目的分析宁夏布鲁氏菌多位点串联重复序列分型特征。方法采用传统细菌学和分子生物学方法鉴定菌株,对16个可变数目串联重复序列位点进行PCR扩增,产物经毛细管电泳测序,生物信息学软件Bio Numerics进行聚类分析。结果经细菌学和分子生物学方法鉴定近期宁夏人群感染分离44株布鲁氏菌均为羊种布鲁氏菌,对选取的20世纪分离的24株菌重新鉴定结果为羊种12株、牛种3株和猪种9株。多位点串联重复序列分析方法(MLVA)分型结果显示,68株菌被分为8大基因群39个基因型,并将羊种、牛种和猪种布鲁氏菌分成3个基因群,其中56株羊种菌分为33个基因型,基因型存在地域性分布特点,同一基因型的部分菌株具有流行病学关联。结论 MLVA分型方法能将布鲁氏菌在种的水平上区分,宁夏感染人体布鲁氏菌具有丰富的遗传多样性,部分菌株采用MLVA分型方法结合流行病学资料可溯源。
Objective To understand gene typing characteristics of the clinical brucella strains which isolated from the patients in Ningxia from 2009 to 2013.Methods The traditional bacterial culture and molecular biology method were used to identify brucella.16 variable numbers of tandem repeat loci were analyzed by the extraction of nucleic acid,polymerase chain reaction(PCR),agarose gel electrophoresis,and sequencing technology according to using bioinformatics software BioNumerics.Results 44 strains bacteria were identified as type of B.melitensis,and 24 historical strain were identified as 12 in B.melitensis,3 in B.bovis and 9 in B.suis by using the traditional method combined with molecular biology method.MLVA primer amplification results showed that 68 strains of bacteria were divided into seven major gene cluster and forty genotypes by MLVA typing.Conclusion MLVA typing method will be able to distinguish brucella at the species level.There is rich genetic diversity of brucella in Ningxia,and partial strain can be used to trace the origin of epidemiological data.
作者
马学平
高建炜
韩坤
杨聪
海娥
朴东日
姜海
崔步云
赵建华
MA Xueping;GAO Jianwei;HAN Kun;YANG Cong;HAI E;PIAO Dongri;JIANG Hai;CUI Buyun;ZHAO Jianhua(Ningxia Center for Disease Prevention and Control,Yinchuan 750004,China;National Institute for Communicable Disease Control and Prevention,Chinese Center for Disease Control and Prevention,Beijing 102200,China)
出处
《宁夏医学杂志》
CAS
2020年第5期397-401,共5页
Ningxia Medical Journal
基金
宁夏自然科学基金项目(NZ1296和NZ14225)
宁夏青年拔尖人才工程项目(2017年)
国家传染病重大专项子课题“全国重点省区细菌性传染病病原谱流行规律及变异研究”(2018ZX10713-003-002)。
关键词
布鲁氏菌分离株
宁夏
多位点串联重复序列分析
分型
Brucella
Ningxia
Multiple-Locus Variable-number Tandem-repeat Analysis
Genotyping
