1.Recombinant-attenuated Salmonella Pullorum strain expressing the hemagglutinin-neuraminidase protein of Newcastle disease virus (NDV) protects chickens against NDV and Salmonella Pullorum challenge
Ke DING ; Ke SHANG ; Zu Hua YU ; Chuan YU ; Yan Yan JIA ; Lei HE ; Cheng Shui LIAO ; Jing LI ; Chun Jie ZHANG ; Yin Ju LI ; Ting Cai WU ; Xiang Chao CHENG
Journal of Veterinary Science 2018;19(2):232-241
Newcastle disease virus (NDV) and Salmonella Pullorum have significant damaging effects on the poultry industry, but no previous vaccine can protect poultry effectively. In this study, a recombinant-attenuated S. Pullorum strain secreting the NDV hemagglutinin-neuraminidase (HN) protein, C79-13ΔcrpΔasd (pYA-HN), was constructed by using the suicide plasmid pREasd-mediated bacteria homologous recombination method to form a new bivalent vaccine candidate against Newcastle disease (ND) and S. Pullorum disease (PD). The effect of this vaccine candidate was compared with those of the NDV LaSota and C79-13ΔcrpΔasd (pYA) strains. The serum hemagglutination inhibition antibody titers, serum immunoglobulin G (IgG) antibodies, secretory IgA, and stimulation index in lymphocyte proliferation were increased significantly more (p < 0.01) in chickens inoculated with C79-13ΔcrpΔasd (pYA-HN) than with C79-13ΔcrpΔasd (pYA) but were not significantly increased compared with the chickens immunized with the LaSota live vaccine (p > 0.05). Moreover, the novel strain provides 60% and 80% protective efficacy against the NDV virulent strain F48E9 and the S. Pullorum virulent strain C79-13. In summary, in this study, a recombinant-attenuated S. Pullorum strain secreting NDV HN protein was constructed. The generation of the S. Pullorum C79-13ΔcrpΔasd (pYA-HN) strain provides a foundation for the development of an effective living-vector double vaccine against ND and PD.
Animals
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Antibodies
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Bacteria
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Chickens
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Hemagglutination
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HN Protein
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Homologous Recombination
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Immunoglobulin A, Secretory
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Immunoglobulin G
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Lymphocytes
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Methods
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Newcastle disease virus
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Newcastle Disease
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Plasmids
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Poultry
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Salmonella
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Suicide
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Vaccines
2.Diversity, bioactivities, and metabolic potentials of endophytic actinomycetes isolated from traditional medicinal plants in Sichuan, China.
Peng QIU ; Zhi-Xiang FENG ; Jie-Wei TIAN ; Zu-Chao LEI ; Lei WANG ; Zhi-Gang ZENG ; Yi-Wen CHU ; Yong-Qiang TIAN
Chinese Journal of Natural Medicines (English Ed.) 2015;13(12):942-953
The present study was designed to determine the taxonomic diversity and metabolic activity of the actinomycetes community, including 13 traditional medicinal plants collected in Sichuan province, China, using multiple approaches such as morphological and molecular identification methods, bioactivity assays, and PCR screening for genes involved in antibiotics biosynthesis. 119 endophytic actinomycetes were recovered; 80 representative strains were chosen for 16S rRNA gene partial sequence analyses, with 66 of them being affiliated to genus Streptomyces and the remaining 14 strains being rare actinomycetes. Antimicrobial tests showed that 12 (15%) of the 80 endophytic actinomycetes displayed inhibitory effects against at least one indicator pathogens, which were all assigned to the genus Streptomyces. In addition, 87.5% and 58.8% of the isolates showed anticancer and anti-diabetic activities, respectively. Meanwhile, the anticancer activities of the isolates negatively correlated with their anti-diabetic activities. Based on the results of PCR screening, five genes, PKS-I, PKS-II, NRPS, ANSA, and oxyB, were detected in 55.0%, 58.8%, 90.0%, 18.8% and 8.8% of the 80 actinomycetes, respectively. In conclusion, the PCR screening method employed in the present study was conducive for screening and selection of potential actinomycetes and predicting potential secondary metabolites, which could overcome the limitations of traditional activity screening models.
Actinobacteria
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chemistry
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classification
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isolation & purification
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metabolism
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Biodiversity
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China
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Endophytes
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chemistry
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classification
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isolation & purification
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metabolism
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Molecular Sequence Data
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Phylogeny
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Plants, Medicinal
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classification
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microbiology
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Secondary Metabolism