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Featured researches published by Zongzhong Tong.


Journal of Bacteriology | 2004

Genetics of Metabolic Variations between Yersinia pestis Biovars and the Proposal of a New Biovar, microtus

Dongsheng Zhou; Zongzhong Tong; Yajun Song; Yanping Han; Decui Pei; Xin Pang; Junhui Zhai; Min Li; Baizhong Cui; Zhizhen Qi; Lixia Jin; Ruixia Dai; Zongmin Du; Jin Wang; Zhaobiao Guo; Jian Wang; Peitang Huang; Ruifu Yang

Yersinia pestis has been historically divided into three biovars: antiqua, mediaevalis, and orientalis. On the basis of this study, strains from Microtus-related plague foci are proposed to constitute a new biovar, microtus. Based on the ability to ferment glycerol and arabinose and to reduce nitrate, Y. pestis strains can be assigned to one of four biovars: antiqua (glycerol positive, arabinose positive, and nitrate positive), mediaevalis (glycerol positive, arabinose positive, and nitrate negative), orientalis (glycerol negative, arabinose positive, and nitrate positive), and microtus (glycerol positive, arabinose negative, and nitrate negative). A 93-bp in-frame deletion in glpD gene results in the glycerol-negative characteristic of biovar orientalis strains. Two kinds of point mutations in the napA gene may cause the nitrate reduction-negative characteristic in biovars mediaevalis and microtus, respectively. A 122-bp frameshift deletion in the araC gene may lead to the arabinose-negative phenotype of biovar microtus strains. Biovar microtus strains have a unique genomic profile of gene loss and pseudogene distribution, which most likely accounts for the human attenuation of this new biovar. Focused, hypothesis-based investigations on these specific genes will help delineate the determinants that enable this deadly pathogen to be virulent to humans and give insight into the evolution of Y. pestis and plague pathogenesis. Moreover, there may be the implications for development of biovar microtus strains as a potential vaccine.


Journal of Bacteriology | 2004

DNA Microarray Analysis of Genome Dynamics in Yersinia pestis: Insights into Bacterial Genome Microevolution and Niche Adaptation

Dongsheng Zhou; Yanping Han; Yajun Song; Zongzhong Tong; Jin Wang; Zhaobiao Guo; Decui Pei; Xin Pang; Junhui Zhai; Min Li; Baizhong Cui; Zhizhen Qi; Lixia Jin; Ruixia Dai; Zongmin Du; Jingyue Bao; Xiuqing Zhang; Jun Yu; Jian Wang; Peitang Huang; Ruifu Yang

Genomics research provides an unprecedented opportunity for us to probe into the pathogenicity and evolution of the worlds most deadly pathogenic bacterium, Yersinia pestis, in minute detail. In our present work, extensive microarray analysis in conjunction with PCR validation revealed that there are considerable genome dynamics, due to gene acquisition and loss, in natural populations of Y. pestis. We established a genomotyping system to group homologous isolates of Y. pestis, based on profiling or gene acquisition and loss in their genomes, and then drew an outline of parallel microevolution of the Y. pestis genome. The acquisition of a number of genomic islands and plasmids most likely induced Y. pestis to evolve rapidly from Yersinia pseudotuberculosis to a new, deadly pathogen. Horizontal gene acquisition also plays a key role in the dramatic evolutionary segregation of Y. pestis lineages (biovars and genomovars). In contrast to selective genome expansion by gene acquisition, genome reduction occurs in Y. pestis through the loss of DNA regions. We also theorized about the links between niche adaptation and genome microevolution. The transmission, colonization, and expansion of Y. pestis in the natural foci of endemic plague are parallel and directional and involve gradual adaptation to the complex of interactions between the environment, the hosts, and the pathogen itself. These adaptations are based on the natural selections against the accumulation of genetic changes within genome. Our data strongly support that the modern plague originated from Yunnan Province in China, due to the arising of biovar orientalis from biovar antiqua rather than mediaevalis.


Microbiology and Immunology | 2004

Microarray analysis of temperature-induced transcriptome of Yersinia pestis.

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

Yersinia pestis, the etiologic agent of plague, must acclimatize itself to temperature shifts between the temperature (26 C) for flea blockage and the body temperature (37 C) of warm‐blooded hosts during its life cycle. Here a whole‐genome DNA microarray was used to investigate transcriptional regulation upon the upshift of growth temperature from 26 to 37 C in a chemically defined medium. Four hundred and one genes were regulated differentially under the two temperatures. About 39% of these genes were up‐regulated at 37 C, whereas 61% were down‐regulated. Temperature‐induced changes occurred at the level of transcription of genes encoding proven or predicted virulence factors, regulators, metabolism‐associated proteins, prophages, and hypothetical proteins. Strikingly, many gene clusters displayed a co‐transcription pattern in response to temperature upshift. Our data provided a genome‐wide profile of gene transcription induced by temperature shift and should shed light on the pathogenicity and host‐microbe interaction of this deadly pathogen.


Chinese Science Bulletin | 2003

A complete sequence and comparative analysis of a SARS-associated virus (Isolate BJ01)

E’de Qin; Qingyu Zhu; Man Yu; Baochang Fan; Guohui Chang; Bingyin Si; Bao’an Yang; Wenming Peng; Tao Jiang; Bohua Liu; Yong-Qiang Deng; Liu H; Yu Zhang; Cui’e Wang; Y. Li; Yonghua Gan; Xiaoyu Li; Fushuang Lü; Gang Tan; Wuchun Cao; Ruifu Yang; Jian Wang; Wei Li; Z. Y. Xu; Yan Li; Qingfa Wu; Wei Lin; Weijun Chen; Lin Tang; Yajun Deng

The genome sequence of the Severe Acute Respiratory Syndrome (SARS)-associated virus provides essential information for the identification of pathogen(s), exploration of etiology and evolution, interpretation of transmission and pathogenesis, development of diagnostics, prevention by future vaccination, and treatment by developing new drugs. We report the complete genome sequence and comparative analysis of an isolate (BJ01) of the coronavirus that has been recognized as a pathogen for SARS. The genome is 29725 nt in size and has 11 ORFs (Open Reading Frames). It is composed of a stable region encoding an RNA-dependent RNA polymerase (composed of 2 ORFs) and a variable region representing 4 CDSs (coding sequences) for viral structural genes (the S, E, M, N proteins) and 5 PUPs (putative uncharacterized proteins). Its gene order is identical to that of other known coronaviruses. The sequence alignment with all known RNA viruses places this virus as a member in the family of Coronaviridae. Thirty putative substitutions have been identified by comparative analysis of the 5 SARS-associated virus genome sequences in GenBank. Fifteen of them lead to possible amino acid changes (non-synonymous mutations) in the proteins. Three amino acid changes, with predicted alteration of physical and chemical features, have been detected in the S protein that is postulated to be involved in the immunoreactions between the virus and its host. Two amino acid changes have been detected in the M protein, which could be related to viral envelope formation. Phylogenetic analysis suggests the possibility of non-human origin of the SARS-associated viruses but provides no evidence that they are man-made. Further efforts should focus on identifying the etiology of the SARS-associated virus and ruling out conclusively the existence of other possible SARS-related pathogen(s).


Genomics, Proteomics & Bioinformatics | 2003

Complete Genome Sequences of the SARS-CoV: the BJ Group (Isolates BJ01-BJ04)

Shengli Bi; E’de Qin; Z. Y. Xu; Wei Li; Jing Wang; Yongwu Hu; Yong Liu; Shumin Duan; Jianfei Hu; Yujun Han; Jing Xu; Yan Li; Yao Yi; Yongdong Zhou; Wei Lin; Jie Wen; Hong Xu; Ruan Li; Zizhang Zhang; Haiyan Sun; Jingui Zhu; Man Yu; Baochang Fan; Qingfa Wu; Lin Tang; Bao’an Yang; Guoqing Li; Wenming Peng; Wenjie Li; Tao Jiang

Beijing has been one of the epicenters attacked most severely by the SARS-CoV (severe acute respiratory syndrome-associated coronavirus) since the first patient was diagnosed in one of the city’s hospitals. We now report complete genome sequences of the BJ Group, including four isolates (Isolates BJ01, BJ02, BJ03, and BJ04) of the SARS-CoV. It is remarkable that all members of the BJ Group share a common haplotype, consisting of seven loci that differentiate the group from other isolates published to date. Among 42 substitutions uniquely identified from the BJ group, 32 are non-synonymous changes at the amino acid level. Rooted phylogenetic trees, proposed on the basis of haplotypes and other sequence variations of SARS-CoV isolates from Canada, USA, Singapore, and China, gave rise to different paradigms but positioned the BJ Group, together with the newly discovered GD01 (GD-Ins29) in the same clade, followed by the H-U Group (from Hong Kong to USA) and the H-T Group (from Hong Kong to Toronto), leaving the SP Group (Singapore) more distant. This result appears to suggest a possible transmission path from Guangdong to Beijing/Hong Kong, then to other countries and regions.


DNA Research | 2004

Complete genome sequence of Yersinia pestis strain 91001, an isolate avirulent to humans

Yajun Song; Zongzhong Tong; Jin Wang; Wang L; Zhaobiao Guo; Yanpin Han; Jianguo Zhang; Decui Pei; Dongsheng Zhou; Haiou Qin; Xin Pang; Yujun Han; Junhui Zhai; Min Li; Baizhong Cui; Zhizhen Qi; Lixia Jin; Ruixia Dai; Feng Chen; Shengting Li; Chen Ye; Zongmin Du; Wei Lin; Jun Wang; Jun Yu; Huanming Yang; Jian Wang; Peitang Huang; Ruifu Yang


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


Journal of Medical Microbiology | 2005

Pseudogene accumulation might promote the adaptive microevolution of Yersinia pestis.

Zongzhong Tong; Dongsheng Zhou; Yajun Song; Ling Zhang; Decui Pei; Yanping Han; Xin Pang; Min Li; Baizhong Cui; Jin Wang; Zhaobiao Guo; Zhizhen Qi; Lixia Jin; Junhui Zhai; Zongmin Du; Jun Wang; Xiaoyi Wang; Jun Yu; Jian Wang; Peitang Huang; Huanming Yang; Ruifu Yang


Fems Microbiology Letters | 2005

Global gene expression profile of Yersinia pestis induced by streptomycin

Jingfu Qiu; Dongsheng Zhou; Yanping Han; Ling Zhang; Zongzhong Tong; Yajun Song; Erhei Dai; Bei Li; Jin Wang; Zhaobiao Guo; Junhui Zhai; Zongmin Du; Xiaoyi Wang; Ruifu Yang

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Ruifu Yang

Academy of Military Medical Sciences

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Dongsheng Zhou

Academy of Military Medical Sciences

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Junhui Zhai

Academy of Military Medical Sciences

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Yajun Song

Academy of Military Medical Sciences

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Zhaobiao Guo

Academy of Military Medical Sciences

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Jian Wang

Chinese Academy of Sciences

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Zongmin Du

Academy of Military Medical Sciences

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Peitang Huang

Academy of Military Medical Sciences

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Xin Pang

Academy of Military Medical Sciences

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