Feng Youjun, Zheng Feng, Pan Xiuzhen, Sun Wen, Wang Changjun, Dong Yaqing, Ju Ai-ping, Ge Junchao, Liu Di, Liu Cuihua, Yan Jinghua, Tang Jiaqi, Gao George F
Center for Molecular Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China.
FEMS Microbiol Lett. 2007 Oct;275(1):80-8. doi: 10.1111/j.1574-6968.2007.00859.x.
Surface antigen one (Sao) is a newly identified protein from the major zoonotic pathogen, Streptococcus suis. In search of functional proteins related to the pathogenesis of Chinese S. suis 2 (SS2), unexpectedly, a variant of Sao protein was obtained. To test its prevalence in S. suis, PCR assay was adopted to address the coding genes systematically. It was found that there are three allelic variants of sao gene, namely sao-S, sao-M, and sao-L based on the different lengths of the genes (approximately 1.5, approximately 1.7, and approximately 2.0 kb, respectively). These differences were determined to be caused by heterogeneity within the number of C-terminal repeat sequences (R), which had been seen as a pathogenicity-related domain in the plant pathogen, Xanthomonas oryzae. Two variants (sao-M and sao-L) were only found in SS2. All three variant proteins were prepared in vitro and their biochemical and biophysical properties were characterized. A soluble form of Sao-M protein was then used as a capture antigen to develop an enzyme-linked immunosorbent assay method to detect antibodies against SS2 in convalescent pig sera. Taken together, the results exhibit the properties of Sao proteins and provide an efficient Sao-M-based method for monitoring SS2 infection.
表面抗原1(Sao)是一种从主要人畜共患病原体猪链球菌中新鉴定出的蛋白质。在寻找与中国猪链球菌2型(SS2)发病机制相关的功能蛋白时,意外地获得了一种Sao蛋白变体。为了检测其在猪链球菌中的流行情况,采用聚合酶链反应(PCR)分析法对编码基因进行系统研究。结果发现,基于基因长度的不同(分别约为1.5 kb、约1.7 kb和约2.0 kb),sao基因存在三个等位基因变体,即sao-S、sao-M和sao-L。这些差异被确定是由C末端重复序列(R)数量的异质性引起的,C末端重复序列在植物病原体水稻白叶枯病菌中被视为与致病性相关的结构域。仅在SS2中发现了两个变体(sao-M和sao-L)。所有三种变体蛋白均在体外制备,并对其生化和生物物理特性进行了表征。然后,将可溶性形式的Sao-M蛋白用作捕获抗原,开发了一种酶联免疫吸附测定方法,用于检测康复猪血清中抗SS2的抗体。综上所述,这些结果展示了Sao蛋白的特性,并提供了一种基于Sao-M的高效监测SS2感染的方法。