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Institution

Jimei University

EducationAmoy, China
About: Jimei University is a education organization based out in Amoy, China. It is known for research contribution in the topics: Computer science & Population. The organization has 4645 authors who have published 4293 publications receiving 42239 citations. The organization is also known as: Jíměi Dàxué.


Papers
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Journal ArticleDOI
TL;DR: Time-resolved dual RNA-seq of infected spleens was successfully applied to study host-pathogen interactions between L. crocea and P. plecoglossicida, and showed that pathogen-host interactions were highly dynamically regulated, with corresponding fluctuations in host and pathogen transcriptomes during infection.
Abstract: Host-pathogen interactions are highly complex, involving large dynamic changes in gene expression during infection. These interactions are fundamental to understanding anti-infection immunity of hosts, as well as the pathogenesis of pathogens. For bacterial pathogens interacting with animal hosts, time-resolved dual RNA-seq of infected tissue is difficult to perform due to low pathogen load in infected tissue. In this study, an acute infection model of Larimichthys crocea infected by Pseudomonas plecoglossicida was established. The spleens of infected fish exhibited typical symptoms, with a maximum bacterial load at two days post-injection (dpi). Time-resolved dual RNA-seq of infected spleens was successfully applied to study host-pathogen interactions between L. crocea and P. plecoglossicida. The spleens of infected L. crocea were subjected to dual RNA-seq, and transcriptome data were compared with those of noninfected spleens or in vitro cultured bacteria. Results showed that pathogen-host interactions were highly dynamically regulated, with corresponding fluctuations in host and pathogen transcriptomes during infection. The expression levels of many immunogenes involved in cytokine-cytokine receptor, Toll-like receptor signaling, and other immune-related pathways were significantly up-regulated during the infection period. Furthermore, metabolic processes and the use of oxygen in L. crocea were strongly affected by P. plecoglossicida infection. The WGCNA results showed that the metabolic process was strongly related to the entire immune process. For P. plecoglossicida, the expression levels of motility-related genes and flagellum assembly-related genes were significantly up-regulated. The results of this study may help to elucidate the interactions between L. crocea and P. plecoglossicida.

53 citations

Journal ArticleDOI
Yujia Sun1, Gang Luo1, Lingmin Zhao1, Lixing Huang1, Yingxue Qin1, Yongquan Su, Qingpi Yan1 
TL;DR: The result of gene ontology and KEGG analysis on E. coioides showed that genes of serine-type endopeptidase and chemokine signaling pathway, coagulation and complement system, and intestinal immune network for IgA production pathway were mostly affected by sigX of P. plecoglossicida, while the immune genes were regulated by miRNA and lncRNA by a complex mode.
Abstract: Pseudomonas plecoglossicida is an important pathogen for aquaculture and causes high mortality in various marine fishes. Expression of sigX was found significantly up-regulated at 18°C than at 28°C, which was verified by quantitative real-time PCR (qRT-PCR). RNAi significantly reduced the content of sigX mRNA of P. plecoglossicida, whether in in vitro or in the spleen at all sampling time points. Compared with the wild-type strain, the infection of sigX-RNAi strain resulted in the onset time delay, and 20% reduction in mortality of Epinephelus coioides, as well as alleviates in the symptoms of E. coioides spleen. Compared with wild-type strain, the gene silence of sigX in P. plecoglossicida resulted in a significant change in transcriptome of infected E. coioides. The result of gene ontology and KEGG analysis on E. coioides showed that genes of serine-type endopeptidase and chemokine signaling pathway, coagulation and complement system, and intestinal immune network for IgA production pathway were mostly affected by sigX of P. plecoglossicida. Meanwhile, the immune genes were associated with different number of miRNA and lncRNA, and some miRNAs were associated with more than one gene at the same time. The results indicated that sigX was a virulent gene of P. plecoglossicida. The up-regulation of the immune pathways made E. coioides more likely to kill sigX-RNAi strain than the wild-type strain of P. plecoglossicida, while the immune genes were regulated by miRNA and lncRNA by a complex mode.

53 citations

Journal ArticleDOI
TL;DR: In this paper, a variable-order fractional advection-diffusion equation with a nonlinear source term (VOFADE-NST) on a finite domain is considered.
Abstract: In this paper, we consider a variable-order fractional advection-diffusion equation with a nonlinear source term (VOFADE-NST) on a finite domain. Combining the characteristic method and the finite difference method, a characteristic finite difference method for solving the VOFADE-NST is presented. Its stability and convergence are analyzed. This new method is shown to be more efficient and superior to the standard finite difference method. Numerical experiments are carried out and the results demonstrate the effectiveness of theoretical analysis.

52 citations

Journal ArticleDOI
TL;DR: In this paper, three exponentially convergent robust controllers, namely, the min-max type controller, the saturation type controller and the smooth transition type controller are proposed to drive an AUV to track a predefined trajectory.

52 citations

Journal ArticleDOI
TL;DR: It is suggested that arginine kinase might play an important role in the coupling of energy production and utilization and the immune response in shrimps.

52 citations


Authors

Showing all 4696 results

NameH-indexPapersCitations
Feng Wang107113664644
Feng Chen95213853881
Jing Feng5447611869
Duong D. Do5155815365
Yanqiang Huang491428194
Quansheng Chen483047583
Qingbiao Li432547881
Fuwen Yang412017371
Pin Nie402265484
David Machin361085647
Lin Xu32723521
Xiaomei Chen32763762
Tao Wu321543007
Min-Jie Cao301663056
Fuhang Song29871941
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202327
202299
2021593
2020516
2019386
2018267