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Dive into the research topics where Erhei Dai is active.

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Featured researches published by Erhei Dai.


PLOS ONE | 2009

Genotyping and phylogenetic analysis of Yersinia pestis by MLVA: insights into the worldwide expansion of Central Asia plague foci.

Yanjun Li; Yujun Cui; Yolande Hauck; Mikhail E. Platonov; Erhei Dai; Yajun Song; Zhaobiao Guo; Christine Pourcel; Svetlana V. Dentovskaya; Andrey Anisimov; Ruifu Yang; Gilles Vergnaud

Background The species Yersinia pestis is commonly divided into three classical biovars, Antiqua, Medievalis, and Orientalis, belonging to subspecies pestis pathogenic for human and the (atypical) non-human pathogenic biovar Microtus (alias Pestoides) including several non-pestis subspecies. Recent progress in molecular typing methods enables large-scale investigations in the population structure of this species. It is now possible to test hypotheses about its evolution which were proposed decades ago. For instance the three classical biovars of different geographical distributions were suggested to originate from Central Asia. Most investigations so far have focused on the typical pestis subspecies representatives found outside of China, whereas the understanding of the emergence of this human pathogen requires the investigation of strains belonging to subspecies pestis from China and to the Microtus biovar. Methodology/Principal Findings Multi-locus VNTR analysis (MLVA) with 25 loci was performed on a collection of Y. pestis isolates originating from the majority of the known foci worldwide and including typical rhamnose-negative subspecies pestis as well as rhamnose-positive subspecies pestis and biovar Microtus. More than 500 isolates from China, the Former Soviet Union (FSU), Mongolia and a number of other foci around the world were characterized and resolved into 350 different genotypes. The data revealed very close relationships existing between some isolates from widely separated foci as well as very high diversity which can conversely be observed between nearby foci. Conclusions/Significance The results obtained are in full agreement with the view that the Y. pestis subsp. pestis pathogenic for humans emerged in the Central Asia region between China, Kazakhstan, Russia and Mongolia, only three clones of which spread out of Central Asia. The relationships among the strains in China, Central Asia and the rest of the world based on the MLVA25 assay provide an unprecedented view on the expansion and microevolution of Y. pestis.


Journal of Molecular Biology | 2004

Characterization of the 3a protein of SARS-associated coronavirus in infected vero E6 cells and SARS patients.

Rong Zeng; Ruifu Yang; Mude Shi; Man-Rong Jiang; You-Hua Xie; Hong-Qiang Ruan; Xs Jiang; Lv Shi; Hu Zhou; Lei Zhang; Xiaodong Wu; Ying Lin; Yongyong Ji; Lei Xiong; Yan Jin; Erhei Dai; Xiaoyi Wang; Bin-Ying Si; Jin Wang; Hongxia Wang; Cui-E Wang; Yonghua Gan; Yuchuan Li; Ju-Tian Cao; Jiang-Ping Zuo; Shi-Fang Shan; En Xie; Song-Hua Chen; Zhi-Qin Jiang; Xi Zhang

Abstract Proteomics was used to identify a protein encoded by ORF 3a in a SARS-associated coronavirus (SARS-CoV). Immuno-blotting revealed that interchain disulfide bonds might be formed between this protein and the spike protein. ELISA indicated that sera from SARS patients have significant positive reactions with synthesized peptides derived from the 3a protein. These results are concordant with that of a spike protein-derived peptide. A tendency exists for co-mutation between the 3a protein and the spike protein of SARS-CoV isolates, suggesting that the function of the 3a protein correlates with the spike protein. Taken together, the 3a protein might be tightly correlated to the spike protein in the SARS-CoV functions. The 3a protein may serve as a new clinical marker or drug target for SARS treatment.


PLOS ONE | 2008

Different Region Analysis for Genotyping Yersinia pestis Isolates from China

Yanjun Li; Erhei Dai; Yujun Cui; Min Li; Yujiang Zhang; Mingshou Wu; Dongsheng Zhou; Zhaobiao Guo; Xiang Dai; Baizhong Cui; Zhizhen Qi; Zuyun Wang; Hu Wang; Xingqi Dong; Zhizhong Song; Junhui Zhai; Yajun Song; Ruifu Yang

Background DFR (different region) analysis has been developed for typing Yesinia pestis in our previous study, and in this study, we extended this method by using 23 DFRs to investigate 909 Chinese Y. pestis strains for validating DFR-based genotyping method and better understanding adaptive microevolution of Y. pestis. Methodology/Principal Findings On the basis of PCR and Bionumerics data analysis, 909 Y. pestis strains were genotyped into 32 genomovars according to their DFR profiles. New terms, Major genomovar and Minor genomovar, were coined for illustrating evolutionary relationship between Y. pestis strains from different plague foci and different hosts. In silico DFR profiling of the completed or draft genomes shed lights on the evolutionary scenario of Y. pestis from Y. pseudotuberculosis. Notably, several sequenced Y. pestis strains share the same DFR profiles with Chinese strains, providing data for revealing the global plague foci expansion. Conclusions/significance Distribution of Y. pestis genomovars is plague focus-specific. Microevolution of biovar Orientalis was deduced according to DFR profiles. DFR analysis turns to be an efficient and inexpensive method to portrait the genome plasticity of Y. pestis based on horizontal gene transfer (HGT). DFR analysis can also be used as a tool in comparative and evolutionary genomic research for other bacteria with similar genome plasticity.


Microbes and Infection | 2005

Antibody responses to individual proteins of SARS coronavirus and their neutralization activities.

Maofeng Qiu; Yuling Shi; Zhaobiao Guo; Zeliang Chen; Rongqiao He; Runsheng Chen; Dongsheng Zhou; Erhei Dai; Xiaoyi Wang; Bingyin Si; Yajun Song; Jingxiang Li; Ling Yang; Jin Wang; Hongxia Wang; Xin Pang; Junhui Zhai; Zongmin Du; Ying Liu; Yong Zhang; Linhai Li; Jian Wang; Bing Sun; Ruifu Yang

Abstract A novel coronavirus, the severe acute respiratory syndrome (SARS) coronavirus (SARS-CoV), was identified as the causative agent of SARS. The profile of specific antibodies to individual proteins of the virus is critical to the development of vaccine and diagnostic tools. In this study, 13 recombinant proteins associated with four structural proteins (S, E, M and N) and five putative uncharacterized proteins (3a, 3b, 6, 7a and 9b) of the SARS-CoV were prepared and used for screening and monitoring their specific IgG antibodies in SARS patient sera by protein microarray. Antibodies to proteins S, 3a, N and 9b were detected in the sera from convalescent-phase SARS patients, whereas those to proteins E, M, 3b, 6 and 7a were undetected. In the detectable specific antibodies, anti-S and anti-N were dominant and could persist in the sera of SARS patients until week 30. Among the rabbit antisera to recombinant proteins S3, N, 3a and 9b, only anti-S3 serum showed significant neutralizing activity to the SARS-CoV infection in Vero E6 cells. The results suggest (1) that anti-S and anti-N antibodies are diagnostic markers and in particular that S3 is immunogenic and therefore is a good candidate as a subunit vaccine antigen; and (2) that, from a virus structure viewpoint, the presence in some human sera of antibodies reacting with two recombinant polypeptides, 3a and 9b, supports the hypothesis that they are synthesized during the virus cycle.


Microbiology and Immunology | 2004

Identification of Signature Genes for Rapid and Specific Characterization of Yersinia pestis

Dongsheng Zhou; Yanping Han; Erhei Dai; Decui Pei; Yajun Song; Junhui Zhai; Zongmin Du; Jin Wang; Zhaobiao Guo; Ruifu Yang

Polymerase chain reaction (PCR) amplification of DNA‐based unique markers, the signature sequences, is ideal for rapid detection and identification of pathogens. We described the discovery of twenty‐eight signature genes of Yersinia pestis by DNA microarray‐based comparative genome hybridization in conjunction with PCR validation. Three pairs of Y. pestis‐specific primers designed from signature genes were demonstrated to have the expected specificity to this target bacterium, without cross‐reaction with the closely related Y. pseudotuberculosis or a large collection of genomic DNAs from other organisms.


Emerging Infectious Diseases | 2004

Real-Time Polymerase Chain Reaction for Detecting SARS Coronavirus, Beijing, 2003.

Junhui Zhai; Thomas Briese; Erhei Dai; Xiaoyi Wang; Xin Pang; Zongmin Du; Jin Wang; Hongxia Wang; Zhaobiao Guo; Zeliang Chen; Lingxiao Jiang; Dongsheng Zhou; Yanping Han; Omar J. Jabado; Gustavo Palacios; W. Ian Lipkin; Ruifu Yang

During the 2003 severe acute respiratory syndrome (SARS) outbreak, a real-time quantitative polymerase chain reaction, which targets the nucleocapsid gene at the 3′-end of the viral genome, was established to detect and identify the SARS-associated coronavirus. We describe the use of this assay to screen >700 clinical samples.


Archives of Microbiology | 2006

Genomic comparison of Yersinia pestis and Yersinia pseudotuberculosis by combination of suppression subtractive hybridization and DNA microarray

Xiaoyi Wang; Dongsheng Zhou; Long Qin; Erhei Dai; Jianguo Zhang; Yanping Han; Zhaobiao Guo; Yajun Song; Zongmin Du; Jin Wang; Jun Wang; Ruifu Yang

In order to further figure out the genetic differences between Yersinia pestis and Yersinia pseudotuberculosis, and to provide novel insights into the evolution of Y. pestis, we compared the genomes of Y. pseudotuberculosis serogroup I strain ATCC29833 and Y. pestis Antiqua strain 49006 using a combination of suppression subtractive hybridization (SSH) and comparative genomic hybridization with DNAs from a diverse panel of Y. pestis and Y. pseudotuberculosis strains. SSH followed by BLAST analysis revealed 112 SSH fragments specific to strain ATCC29833, compared to the genomic sequence data of Y. pestis strains CO92, KIM and 91001. We identified 17 SSH fragments that appeared to be newly determined genetic contents of Y. pseudotuberculosis. The combination of SSH and microarray analysis showed that the parallel loss of genes contributed greatly not only to the significant genomic divergence between Y. pestis and Y. pseudotuberculosis but also to the intra-species microevolution of both of species. The results confirmed our earlier hypothesis that Y. pestis Antiqua isolates from the natural plague focus B in China represented the most ancestral strains in China, hence phylogenetically the closest isolates to Y. pseudotuberculosis.


Clinical and Vaccine Immunology | 2005

Retrospective Serological Investigation of Severe Acute Respiratory Syndrome Coronavirus Antibodies in Recruits from Mainland China

Sumeng Yu; Maofeng Qiu; Zeliang Chen; Xiaobo Ye; Yaling Gao; Aimin Wei; Xiaoyi Wang; Ling Yang; Jin Wang; Jie Wen; Yajun Song; Decui Pei; Erhei Dai; Zhaobiao Guo; Cheng Cao; Jian Wang; Ruifu Yang

ABSTRACT Different assays were used to analyze 1,621 serum specimens collected from military recruits from the Peoples Republic of China in 2002 for severe acute respiratory syndrome (SARS) coronavirus antibodies. The results demonstrated that the subjects either had rarely been exposed to the virus before the 2003 SARS outbreak or had not been exposed but the nucleocapsid protein cross-reacted with other antibodies in humans.


Microbes and Infection | 2005

DNA microarray analysis of the heat- and cold-shock stimulons in Yersinia pestis

Yanping Han; Dongsheng Zhou; Xin Pang; Ling Zhang; Yajun Song; Zongzhong Tong; Jingyue Bao; Erhei Dai; Jin Wang; Zhaobiao Guo; Junhui Zhai; Zongmin Du; Xiaoyi Wang; Jian Wang; Peitang Huang; Ruifu Yang


Research in Microbiology | 2005

Comparative transcriptome analysis of Yersinia pestis in response to hyperosmotic and high-salinity stress.

Yanping Han; Dongsheng Zhou; Xin Pang; Ling Zhang; Yajun Song; Zongzhong Tong; Jingyue Bao; Erhei Dai; Jin Wang; Zhaobiao Guo; Junhui Zhai; Zongmin Du; Xiaoyi Wang; Jian Wang; Peitang Huang; Ruifu Yang

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Ruifu Yang

Southern Medical University

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Zhaobiao Guo

Academy of Military Medical Sciences

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Jin Wang

Academy of Military Medical Sciences

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Yajun Song

Academy of Military Medical Sciences

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Dongsheng Zhou

Academy of Military Medical Sciences

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Xiaoyi Wang

Academy of Military Medical Sciences

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Junhui Zhai

Academy of Military Medical Sciences

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Zongmin Du

Academy of Military Medical Sciences

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Yanping Han

Academy of Military Medical Sciences

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Jian Wang

Chinese Academy of Sciences

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