Serotyping and antimicrobial susceptibility profiling of Glaesserella parasuis isolated from diseased swine in Brazil (2022)
- Authors:
- USP affiliated authors: MORENO, ANDREA MICKE - FMVZ ; MORENO, LUISA ZANOLLI - FMVZ
- Unidade: FMVZ
- DOI: 10.3390/pathogens11121443
- Subjects: SUÍNOS; BACTÉRIAS GRAM-NEGATIVAS; BACTERIOSES EM ANIMAIS; RESISTÊNCIA MICROBIANA ÀS DROGAS
- Keywords: Glaesserella parasuis; antimicrobial resistance; serotype; pig; Glasser’s disease; PCR; MIC
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Este periódico é de acesso aberto
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: gold
- Licença: cc-by
-
ABNT
SILVA, Givago Faria Ribeiro da et al. Serotyping and antimicrobial susceptibility profiling of Glaesserella parasuis isolated from diseased swine in Brazil. Pathogens, v. 11, n. 12, p. 1-11, 2022Tradução . . Disponível em: https://doi.org/10.3390/pathogens11121443. Acesso em: 26 dez. 2025. -
APA
Silva, G. F. R. da, Moreno, L. Z., Matajira, C. E. C., Silva, A. P. S., Araújo, K. M., Gomes, V. T. de M., et al. (2022). Serotyping and antimicrobial susceptibility profiling of Glaesserella parasuis isolated from diseased swine in Brazil. Pathogens, 11( 12), 1-11. doi:10.3390/pathogens11121443 -
NLM
Silva GFR da, Moreno LZ, Matajira CEC, Silva APS, Araújo KM, Gomes VT de M, Barbosa MRF, Sato MIZ, Moreno AM. Serotyping and antimicrobial susceptibility profiling of Glaesserella parasuis isolated from diseased swine in Brazil [Internet]. Pathogens. 2022 ; 11( 12): 1-11.[citado 2025 dez. 26 ] Available from: https://doi.org/10.3390/pathogens11121443 -
Vancouver
Silva GFR da, Moreno LZ, Matajira CEC, Silva APS, Araújo KM, Gomes VT de M, Barbosa MRF, Sato MIZ, Moreno AM. Serotyping and antimicrobial susceptibility profiling of Glaesserella parasuis isolated from diseased swine in Brazil [Internet]. Pathogens. 2022 ; 11( 12): 1-11.[citado 2025 dez. 26 ] Available from: https://doi.org/10.3390/pathogens11121443 - Molecular epidemiology of Leptospira noguchii reveals important insights into a One Health context
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Informações sobre o DOI: 10.3390/pathogens11121443 (Fonte: oaDOI API)
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