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Featured researches published by Jinming Li.


Emerging Infectious Diseases | 2009

Peste des petits ruminants virus in Tibet, China.

Zhiliang Wang; Jingyue Bao; Xiaodong Wu; Yutian Liu; Lin Li; Chunju Liu; Longciren Suo; Zhonglun Xie; Wenji Zhao; Wei Zhang; Nan Yang; Jinming Li; Shushuang Wang; Junwei Wang

Serologic and molecular evidence indicates that peste des petits ruminants virus (PPRV) infection has emerged in goats and sheep in the Ngari region of southwestern Tibet, People’s Republic of China. Phylogenetic analysis confirms that the PPRV strain from Tibet is classified as lineage 4 and is closely related to viruses currently circulating in neighboring countries of southern Asia.


Journal of Virological Methods | 2008

Development of one-step real-time RT-PCR assay for detection and quantitation of peste des petits ruminants virus

Jingyue Bao; Lin Li; Zhiliang Wang; Thomas Barrett; Longciren Suo; Wenji Zhao; Yutian Liu; Chunju Liu; Jinming Li

In this study, a rapid and specific TaqMan-based, one-step real-time quantitative reverse transcription PCR (qRT-PCR) has been described for the detection of peste des petits ruminants virus (PPRV). Primers and probe were designed based on the nucleocapsid protein gene sequence. The real-time qRT-PCR assay was able to detect PPRV isolates from very distinct geographical areas (Africa, Middle East and Asia). The specificity of the assay was assessed by including rinderpest virus and other morbillivirus RNAs but none of these tested positive in the assay. The analytical sensitivity of the real-time qRT-PCR assay was achieved through the construction of an in-house PPRV cRNA for the generation of a standard curve. The detection limit of the assay was found to be 8.1 RNA copies per reaction mixture. The assay had excellent intra- and inter-assay reproducibility. In total 30 field samples were screened for the presence of PPRV by conventional RT-PCR in parallel with qRT-PCR. The detection rate increased from 46.7% to 73.3% by use of the real-time qRT-PCR. The real-time qRT-PCR assay described in this report allows the rapid, specific and sensitive laboratory detection of PPRV in tissue samples from field cases.


Journal of Virological Methods | 2010

Rapid detection of peste des petits ruminants virus by a reverse transcription loop-mediated isothermal amplification assay

Lin Li; Jingyue Bao; Xiaodong Wu; Zhiliang Wang; Junwei Wang; Mingxia Gong; Chunju Liu; Jinming Li

Peste des petits ruminants virus (PPRV) is the causative agent of peste des petits ruminants (PPR), an economically important viral disease of small ruminants. In this report, a one-step, single-tube, reverse transcription loop-mediated isothermal amplification (RT-LAMP) assay was developed for the detection of PPRV. A set of six LAMP primers were designed based on the matrix gene sequence of PPRV to amplify the target RNA by incubation at 63°C for 60min with Bst DNA polymerase and reverse transcriptase. The amplified products could be observed by the naked eye. The specificity of the RT-LAMP assay was validated by amplifying eight strains of PPRV isolated in different geographical areas. No cross-reactivity with other related viruses, including rinderpest virus, canine distemper virus and measles virus, was detected. The sensitivity of the assay was similar to that of real-time reverse transcription polymerase chain reaction (RT-PCR) and 10-fold higher than that of conventional RT-PCR. Twenty clinical samples were evaluated by the RT-LAMP assay, and the results were consistent with those of real-time RT-PCR. As a simple, rapid and accurate detection method, this RT-LAMP assay has important potential applications in the clinical diagnosis of PPR and the surveillance of PPRV.


Virology Journal | 2012

Evaluating viral interference between Influenza virus and Newcastle disease virus using real-time reverse transcription–polymerase chain reaction in chicken eggs

Shengqiang Ge; Dongxia Zheng; Yunling Zhao; Hualei Liu; Wenbo Liu; Qing Sun; Jinming Li; Songmei Yu; Yuanyuan Zuo; Xiuju Han; Lin Li; Yan Lv; Yingli Wang; Xiufan Liu; Zhiliang Wang

BackgroundSimultaneous and sequential allantoic cavity inoculations of Specific-pathogen-free (SPF) chicken eggs with Influenza virus (AIV) and Newcastle disease virus (NDV) demonstrated that the interaction of AIV and NDV during co-infection was variable. Our research revisited the replication interference potential of AIV and NDV using real-time reverse transcription–polymerase chain reaction (real-time RT-PCR) for AIV and NDV to specifically detect the viral genomes in mixed infections.ResultsData from this survey showed that when different doses of NDV (Lasota or F48E8) and AIV (F98 or H5N1) were simultaneously inoculated into embryonating chicken eggs (ECE), interference with the growth of NDV occurred, while interference with the growth of AIV did not occur. When equal amount of the two viruses were sequentially employed, the degree of interference was dependent upon the time of superinfection and the virulence of virus.ConclusionAIV have a negative impact on NDV growth if they are inoculated simultaneously or sequentially and that the degree of interference depended upon the quantity and relative virulence of the virus strains used; however, interference with AIV was not observed. Only if NDV were inoculated at an earlier time will NDV able to interfere with the growth of AIV.


Journal of Virological Methods | 2011

Multiplex RT-PCR for rapid detection and differentiation of class I and class II Newcastle disease viruses

Hualei Liu; Yunling Zhao; Dongxia Zheng; Yan Lv; Wei Zhang; Tiangang Xu; Jinming Li; Zhiliang Wang

A multiplex RT-PCR was developed for detection and differentiation of class I and class II strains of Newcastle disease virus (NDV). The method was shown to have high specificity and sensitivity. The results obtained from the multiplex RT-PCR for a total of 67 NDV field isolates obtained in 2009 were consistent with those obtained by nucleotide sequencing and phylogenetic analysis. A phylogenetic tree based on the partial sequences of the F gene revealed that the 67 field isolates of NDV could be divided into two classes. Twenty-seven NDV isolates were grouped into class I, and two genotypes were identified. Most of the class I isolates were determined to be of genotype 3, with the exception of isolate NDV09-034, which belonged to genotype 2. Forty class II NDV isolates were divided into three genotypes, namely genotype VII (27 isolates), genotype I (2 isolates) and genotype II (11 isolates). Isolates of genotypes I and II in class II were shown to be related to commercial vaccine strains used commonly in China. All isolates of genotype VII were predicted to be virulent, on the basis of the sequence motif at the cleavage site of the F gene. This genotype has become predominantly responsible for most outbreaks of ND in China in recent years. In conclusion, this multiplex RT-PCR provides a new assay for rapid detection and differentiation of both classes of NDV isolates.


Virology | 2017

Evolutionary dynamics of recent peste des petits ruminants virus epidemic in China during 2013–2014

Jingyue Bao; Qinghua Wang; Lin Li; Chunju Liu; Zhicheng Zhang; Jinming Li; Shujuan Wang; Xiaodong Wu; Zhiliang Wang

n Abstractn n Peste des petits ruminants virus (PPRV) causes a highly contagious disease, peste des petits ruminants (PPR), in sheep and goats which has been considered as a serious threat to the local economy in Africa and Asia. However, the in-depth evolutionary dynamics of PPRV during an epidemic is not well understood. We conducted phylogenetic analysis on genomic sequences of 25 PPRV strains from China 2013–2014 outbreaks. All these strains clustered into a novel clade in lineage 4. An evolutionary rate of 2.61 × 10−6 nucleotide substitutions per site per day was estimated, dating the most recent common ancestor of PPRV China 2013–2014 strains to early August 2013. Transmission network analysis revealed that all the virus sequences could be grouped into five clusters of infection, suggesting long-distance animal transmission play an important role in the spread of PPRV in China. These results expanded our knowledge for PPRV evolution to achieve effective control measures.n n


Archives of Virology | 2014

Allelic variants of PRNP in 16 Chinese local sheep breeds

Zouran Lan; Jinming Li; Chengyou Sun; Yutian Liu; Yonggang Zhao; Tianying Chi; Xiaojing Yu; Fangfang Song; Zhiliang Wang

Here, polymorphisms of the ovine prion protein gene were analyzed in 486 Chinese sheep from 16 main local breeds. Polymorphisms R or H at codons 154 and four polymorphisms at codon 171 encoding Q, R, H, or K were identified. The A/V polymorphism at codon 136 was not observed, and all sheep were homozygous for A at this position. In addition, ten polymorphisms at codons 21, 101, 112, 127, 138, 141, 143, 146, 153 and 189 were detected. The predominant Q allele occurred at codon 171, with a high frequency of 88.68xa0%, implying a risk of scrapie in China.


Emerging Infectious Diseases | 2018

Molecular Characterization of African Swine Fever Virus, China, 2018

Shengqiang Ge; Jinming Li; Xiaoxu Fan; Fuxiao Liu; Lin Li; Qinghua Wang; Weijie Ren; Jingyue Bao; Chunju Liu; Hua Wang; Yutian Liu; Yongqiang Zhang; Tiangang Xu; Xiaodong Wu; Zhiliang Wang

On August 3, 2018, an outbreak of African swine fever in pigs was reported in China. We subjected a virus from an African swine fever–positive pig sample to phylogenetic analysis. This analysis showed that the causative strain belonged to the p72 genotype II and CD2v serogroup 8.


Chinese journal of virology | 2011

Sequence analysis of the phosphoprotein gene of peste des petits ruminants virus of Chinese origin

Jingyue Bao; Wenji Zhao; Lin Li; Zhiliang Wang; Guozhen Wu; Xiaodong Wu; Chunju Liu; Qinghua Wang; Junwei Wang; Yutian Liu; Jinming Li; Yingli Wang


Chinese journal of virology | 2008

Sequence analysis of the nucleocapsid gene and genome promoter region of peste des petits ruminants virus of Chinese origin

Jingyue Bao; Zhiliang Wang; Lin Li; Wenji Zhao; Longciren Suo; Jinming Li; Yingli Wang; Xiaodong Wu; Chunju Liu; Yutian Liu; Xiaojing Yu; Yong-Mei Yang

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Wei Zhang

East China University of Science and Technology

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David S. Segal

United States Department of Veterans Affairs

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John R. Kelsoe

University of California

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