Chihai Ji

Dr. Chihai Ji

South China Agricultural University, Guangzhou, Guangdong, China

Research Focus & Metrics

Academic Career Length

7Years (2020-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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16 February 2023 in Frontiers in Veterinary Science
Verified
Journal Article
Open access
CJChihai Ji
Chihai Ji
LZLing Zhou
Ling Zhou
YCYonghui Chen
Yonghui Chen
XFXueen Fang
Xueen Fang
YLYanhong Liu
Yanhong Liu
JMJingyun Ma
Jingyun Ma
Introduction: Different pathogens causing mixed infection are now threatening the pig industry in the context of the African Swine Fever (ASF) circulating especially in China, and it is crucial to achieving the early diagnosis of these pathogens for disease control and prevention.Methods: Here we report the development of a rapid, portable, sensitive, high-throughput, and accurate microfluidic-LAMP chip detection system for simultaneous detection and differentiation of gene-deleted type and wild-type African swine fever virus (ASFV), pseudorabie virus (PRV), porcine parvovirus (PPV), porcine circovirus type 2 (PCV2), and porcine reproductive and respiratory syndrome (PRRSV).Results and discussion: The newly developed system was shown to be sensitive with detection limits of 101 copies/μl for ASFV-MGF505-2R/P72, PPV, and PCV2, 102 copies/μl for ASFV-CD2v, PRV, and PRRSV. The system was highly specific (100%) and stable (C.V.s < 5%) in its ability to detect different pathogens. A total 213 clinical samples and 15 ASFV nucleic acid samples were collected to assess the performance of the detection system, showing highly effective diagnosis. Altogether, the developed microfluidic-LAMP chip system provides a rapid, sensitive, high-throughput and portable diagnostic tool for the accurate detection of multiple swine pathogens.

20 August 2020 in Viruses
Verified
Journal Article
Open access
PDF file
CJChihai Ji
Chihai Ji
YWYingfang Wei
Yingfang Wei
JWJingyu Wang
Jingyu Wang
YZYuchen Zeng
Yuchen Zeng
HPHaoming Pan
Haoming Pan
HWHeng Wang
Heng Wang
Pseudorabies, also known as Aujezsky’s disease, is an acute viral infection caused by pseudorabies virus (PRV). Swine are one of the natural hosts of pseudorabies and the disease causes huge economic losses in the pig industry. The establishment of a differential diagnosis technique that can distinguish between wild-type infection and vaccinated responses and monitor vaccine-induced immunoglobulin G(IgG) is crucial for the eventual eradication of pseudorabies. The aim of this study was to develop a rapid dual detection method for PRV gE and gB protein IgG antibodies with high specificity and sensitivity. PRV gE codons at amino acid residues (aa) 52–238 and gB codons at aa 539–741 were expressed to obtain recombinant PRV gE and gB proteins via a pMAL-c5x vector. After purification with Qiagen Ni–nitrilotriacetic acid (NTA) agarose affinity chromatography, the two proteins were analyzed via SDS-PAGE and immunoblotting assays. Two single fluorescent-microsphere immunoassays (FMIAs) were established by coupling two recombinant proteins (gE and gB) to magnetic microbeads, and an effective dual FMIA was developed by integrating the two single assays. Optimal serum dilution for each assay, correlation with other common swine virus-positive sera, and comparison with ELISA for two PRV antigens were tested for validation. Compared with ELISA, the specificity and sensitivity were 99.26% and 92.3% for gE IgG antibody detection, and 95.74% and 96.3% for the gB IgG antibody detection via dual FMIA. We provide a new method for monitoring PRV protective antibodies in vaccinated pigs and differentiating wild-type PRV infection from vaccinated responses simultaneously.

1 May 2020 in Journal of Infection
Verified
Journal Article
Closed access
CJChihai Ji
Chihai Ji
SCSiqi Cai
Siqi Cai
Lu GangLu Gang
Lu Gang
Guihong ZhangGuihong Zhang
Guihong Zhang

23 November 2021 in Frontiers in Veterinary Science
Verified
Journal Article
Open access
CJChihai Ji
Chihai Ji
JJJingZhe Jiang
JingZhe Jiang
YWYingFang Wei
YingFang Wei
ZWZhiYuan Wang
ZhiYuan Wang
YCYongJie Chen
YongJie Chen
HWHeng Wang
Heng Wang
In 2018, there was an outbreak of African swine fever (ASF) in China, which spread to other provinces in the following 3 years and severely damaged China's pig industry. ASF is caused by the African swine fever virus (ASFV). Given that the genome of the African swine fever virus is very complex and whole genome information is currently inadequate, it is important to efficiently obtain virus genome sequences for genomic and epidemiological studies. The prevalent ASFV strains have low genetic variability; therefore, whole genome sequencing analysis provides a basis for the study of ASFV. We provide a method for the efficient sequencing of whole genomes, which requires only a small number of tissues. The database construction method was selected according to the genomic types of ASFV, and the whole ASFV genome was obtained through data filtering, host sequence removal, virus classification, data assembly, virus sequence identification, statistical analysis, gene prediction, and functional analysis. Our proposed method will facilitate ASFV genome sequencing and novel virus discovery.

14 April 2021 in Animals
Verified
Journal Article
Open access
PDF file
HZHengxiao Zhai
Hengxiao Zhai
CJChihai Ji
Chihai Ji
MWMaria Carol Walsh
Maria Carol Walsh
JBJon Bergstrom
Jon Bergstrom
SPSebastien Potot
Sebastien Potot
HWHeng Wang
Heng Wang
African swine fever virus is one of the most highly contagious and lethal viruses for the global swine industry. Strengthening biosecurity is the only effective measure for preventing the spread of this viral disease. The virus can be transmitted through contaminated feedstuffs and, therefore, research has been conducted to explore corresponding mitigating measures. The purpose of the current study was to test a combination of pure benzoic acid and a blend of nature identical flavorings for their ability to reduce African swine fever viral survival in feed. This virus was inoculated to feed with or without the supplementation of the test compounds, and the viral presence and load were measured by a hemadsorption test and quantitative real time polymerase chain reaction. The main finding was that the combination of pure benzoic acid and nature identical flavorings could expedite the reduction in both viral load and survival in a swine feed. Therefore, this solution could be adopted as a preventive measure for mitigating the risk of contaminated feed by African swine fever virus.

24 December 2025 in Agriculture
Verified
Journal Article
Open access
PDF file
MZMeng Zeng
Meng Zeng
BYBin Yan
Bin Yan
HZHanlin Zhou
Hanlin Zhou
QWqun WU
qun WU
KWKe Wang
Ke Wang
JHJiancheng Han
Jiancheng Han
In intensive breeding systems, goats reared for meat production are often housed in group pens at high stocking densities. This study aimed to investigate the correlation between expressed behaviours and stocking density, and to compare the time budget of these confined goats with that of pasture-based goats. A detailed ethogram of 19 mutually exclusive behavioural activities was developed. Behavioural observations were conducted continuously over 72 h on group pens selected for their variation in stocking density and homogeneity in breed, age, body condition and acclimation period since arrival. Using the scan-sampling method (96 scans per goat daily), data were collected from 42 goats. The time budget, expressed as the mean frequency (%) ± standard deviation for each behavioural activity, was calculated. The associations between time budget and stocking density were assessed via bivariate analysis, with the strength and direction of relationships quantified using Pearson’s correlation coefficient (r). Results indicated that self-grooming and Bipedal stance/Climbing were positively correlated with increased space allowance (i.e., lower stocking density), suggesting their potential utility as positive welfare indicators for housed fattening goats in group pens. Furthermore, the time budget differed notably from pasture-based patterns, primarily characterized by resting (53.09% ± 2.72%), eating (16.05% ± 2.88%), and moving (2.30% ± 0.75%).