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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
Fecha : |
22/09/2022 |
Actualizado : |
22/09/2022 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
Autor : |
UMPIÉRREZ , A.; ERNST, E.; CARDOZO, A.; TORRES, A.; FERNÁNDEZ, M.; FRAGA, M.; VIGNOLI, R.; BADO, I.; VIDAL, R.; ZUNINO, P. |
Afiliación : |
ANA UMPIÉRREZ, Departamento de Microbiología, Instituto de Investigaciones Biológicas Clemente Estable, Montevideo, Uruguay; DÉBORAH ERNST, Departamento de Microbiología, Instituto de Investigaciones Biológicas Clemente Estable, Montevideo, Uruguay.; ANDREA CARDOZO, Departamento de Microbiología, Instituto de Investigaciones Biológicas Clemente Estable, Montevideo, Uruguay.; ALEXIA TORRES, Programa de Microbiología y Micología, Instituto de Ciencias Biomédicas, Facultad de Medicina, Universidad de Chile, Santiago, Chile.; MAGALÍ FERNÁNDEZ, Departamento de Microbiología, Instituto de Investigaciones Biológicas Clemente Estable, Montevideo, Uruguay.; MARTIN FRAGA COTELO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; RAFAEL VIGNOLI, Departamento de Bacteriología y Virología, Instituto de Higiene, Facultad de Medicina, Universidad de la República, Montevideo, Uruguay.; INÉS BADO, Departamento de Bacteriología y Virología, Instituto de Higiene, Facultad de Medicina, Universidad de la República, Montevideo, Uruguay.; ROBERTO VIDAL, Programa de Microbiología y Micología, Instituto de Ciencias Biomédicas, Facultad de Medicina, Universidad de Chile, Santiago, Chile; Instituto Milenio de Inmunología e Inmunoterapia, Facultad de Medicina, Universidad de Chile, Santiago, Chile.; PABLO ZUNINO, Departamento de Microbiología, Instituto de Investigaciones Biológicas Clemente Estable, Montevideo, Uruguay. |
Título : |
Non-O157 Shiga toxin-producing Escherichia coli with potential harmful profiles to humans are isolated from the faeces of calves in Uruguay. |
Fecha de publicación : |
2022 |
Fuente / Imprenta : |
Austral Journal of Veterinary Sciences, 2022, Vol. 54 Issue 2, p.45-53. doi: https://doi.org/10.4067/S0719-81322022000200045 |
Descripción física : |
SSN 0719-8132 (version on-line)
ISSN 0719-8000 (version print) |
ISSN : |
0719-8132 (print); e-ISSN 0719-8000 (electronic) |
DOI : |
10.4067/S0719-81322022000200045 |
Idioma : |
Inglés |
Notas : |
Article history: Received 12 October 2021; Accepted 30 December 2021; Published 09 May 2022.
Corresponding author: Ana Umpiérrez; Avenida Italia 3318, CP 11600, Montevideo, Uruguay; aumpierrez@iibce.edu.uy |
Contenido : |
ABSTRACT.- Shiga toxin-producing Escherichia coli (STEC) infections are responsible for acute illnesses and deaths in humans. Cattle and humans are exposed to STEC through faeces and contaminated food and water. The big six and O157 STEC serogroups are important food and water-borne human pathogens. Additionally, Stx1a, Stx2a and Stx2c subtypes are highly associated with the haemolytic uremic syndrome. This study aimed to determine Shiga toxin-subtypes, the presence of antigen 43 families, the genotypic and phenotypic antimicrobial susceptibility profiles, O-serogrouping, phylotypes and phylogenetic relatedness of STEC of calf origin. Sixteen STEC isolates from calf origin were analysed. PCR was performed to determine Stx subtypes, serogroups, the presence of ag43 I and IIand phylotypes. The antimicrobial profile was evaluated and the presence of PMQR and fosfomycin genes was determined by PCR. The clonal relatedness of STEC was studied by PFGE. The genotypes stx1a+c,stx1a+, stx1a+/stx2e+, stx1a+c/stx2e and stx2awere detected. Ag43 II was the most prevalent among subfamilies. STEC isolates were serotyped as O103 (n=5) and O111 (n=6). Fifty per cent of the isolates were classified as B1 phylogroup, 4/16 as E, 1/16 as C, and 1/16 as F. Non-O157 STEC isolates showed a high level of diversity, independent of the geographical and farm-origin. Isolates were resistant to ampicillin, ciprofloxacin, gentamicin, and fosfomycin-trometamol. The gene fosA7 was detected in 1 isolate. The virulence profiles, including Shiga toxin-subtypes and serogroups, denote the potential harm of non-O157 STEC isolates to humans. We also confirmed that circulating non-O157 STEC from cattle present genetic heterogeneity and are susceptible to antibiotics. MenosABSTRACT.- Shiga toxin-producing Escherichia coli (STEC) infections are responsible for acute illnesses and deaths in humans. Cattle and humans are exposed to STEC through faeces and contaminated food and water. The big six and O157 STEC serogroups are important food and water-borne human pathogens. Additionally, Stx1a, Stx2a and Stx2c subtypes are highly associated with the haemolytic uremic syndrome. This study aimed to determine Shiga toxin-subtypes, the presence of antigen 43 families, the genotypic and phenotypic antimicrobial susceptibility profiles, O-serogrouping, phylotypes and phylogenetic relatedness of STEC of calf origin. Sixteen STEC isolates from calf origin were analysed. PCR was performed to determine Stx subtypes, serogroups, the presence of ag43 I and IIand phylotypes. The antimicrobial profile was evaluated and the presence of PMQR and fosfomycin genes was determined by PCR. The clonal relatedness of STEC was studied by PFGE. The genotypes stx1a+c,stx1a+, stx1a+/stx2e+, stx1a+c/stx2e and stx2awere detected. Ag43 II was the most prevalent among subfamilies. STEC isolates were serotyped as O103 (n=5) and O111 (n=6). Fifty per cent of the isolates were classified as B1 phylogroup, 4/16 as E, 1/16 as C, and 1/16 as F. Non-O157 STEC isolates showed a high level of diversity, independent of the geographical and farm-origin. Isolates were resistant to ampicillin, ciprofloxacin, gentamicin, and fosfomycin-trometamol. The gene fosA7 was detected in 1 isolate. The ... Presentar Todo |
Palabras claves : |
Antimicrobial resistance; Non-O157 STEC; PLATAFORMA EN SALUD ANIMAL; Shiga toxin subtypes. |
Asunto categoría : |
L01 Ganadería |
URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/16768/1/10.4067-s0719-81322022000200045.pdf
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Marc : |
LEADER 03084naa a2200325 a 4500 001 1063578 005 2022-09-22 008 2022 bl uuuu u00u1 u #d 022 $a0719-8132 (print); e-ISSN 0719-8000 (electronic) 024 7 $a10.4067/S0719-81322022000200045$2DOI 100 1 $aUMPIÉRREZ , A. 245 $aNon-O157 Shiga toxin-producing Escherichia coli with potential harmful profiles to humans are isolated from the faeces of calves in Uruguay.$h[electronic resource] 260 $c2022 300 $cSSN 0719-8132 (version on-line) ISSN 0719-8000 (version print) 500 $aArticle history: Received 12 October 2021; Accepted 30 December 2021; Published 09 May 2022. Corresponding author: Ana Umpiérrez; Avenida Italia 3318, CP 11600, Montevideo, Uruguay; aumpierrez@iibce.edu.uy 520 $aABSTRACT.- Shiga toxin-producing Escherichia coli (STEC) infections are responsible for acute illnesses and deaths in humans. Cattle and humans are exposed to STEC through faeces and contaminated food and water. The big six and O157 STEC serogroups are important food and water-borne human pathogens. Additionally, Stx1a, Stx2a and Stx2c subtypes are highly associated with the haemolytic uremic syndrome. This study aimed to determine Shiga toxin-subtypes, the presence of antigen 43 families, the genotypic and phenotypic antimicrobial susceptibility profiles, O-serogrouping, phylotypes and phylogenetic relatedness of STEC of calf origin. Sixteen STEC isolates from calf origin were analysed. PCR was performed to determine Stx subtypes, serogroups, the presence of ag43 I and IIand phylotypes. The antimicrobial profile was evaluated and the presence of PMQR and fosfomycin genes was determined by PCR. The clonal relatedness of STEC was studied by PFGE. The genotypes stx1a+c,stx1a+, stx1a+/stx2e+, stx1a+c/stx2e and stx2awere detected. Ag43 II was the most prevalent among subfamilies. STEC isolates were serotyped as O103 (n=5) and O111 (n=6). Fifty per cent of the isolates were classified as B1 phylogroup, 4/16 as E, 1/16 as C, and 1/16 as F. Non-O157 STEC isolates showed a high level of diversity, independent of the geographical and farm-origin. Isolates were resistant to ampicillin, ciprofloxacin, gentamicin, and fosfomycin-trometamol. The gene fosA7 was detected in 1 isolate. The virulence profiles, including Shiga toxin-subtypes and serogroups, denote the potential harm of non-O157 STEC isolates to humans. We also confirmed that circulating non-O157 STEC from cattle present genetic heterogeneity and are susceptible to antibiotics. 653 $aAntimicrobial resistance 653 $aNon-O157 STEC 653 $aPLATAFORMA EN SALUD ANIMAL 653 $aShiga toxin subtypes 700 1 $aERNST, E. 700 1 $aCARDOZO, A. 700 1 $aTORRES, A. 700 1 $aFERNÁNDEZ, M. 700 1 $aFRAGA, M. 700 1 $aVIGNOLI, R. 700 1 $aBADO, I. 700 1 $aVIDAL, R. 700 1 $aZUNINO, P. 773 $tAustral Journal of Veterinary Sciences, 2022, Vol. 54 Issue 2, p.45-53. doi: https://doi.org/10.4067/S0719-81322022000200045
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Registro completo
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Biblioteca (s) : |
INIA Treinta y Tres. |
Fecha actual : |
25/11/2015 |
Actualizado : |
11/10/2019 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
Circulación / Nivel : |
Internacional - B |
Autor : |
HERD, R.M.; VELAZCO, J.I.; ARTHUR, P. F.; HEGARTY, R. S. |
Afiliación : |
NSW Department of Primary Industries, Beef Industry Centre, Australia; JOSÉ IGNACIO VELAZCO DE LOS REYES, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; Environmental and Rural Science, University of New England, Australia.; NSW Department of Primary Industries, Agricultural Institute, Australia.; Environmental and Rural Science, University of New England, Australia. |
Título : |
Proxies to adjust methane production rate of beef cattle when the quantity of feed consumed is unknown. |
Fecha de publicación : |
2016 |
Fuente / Imprenta : |
Animal Production Science, 2016, 56, p. 231-237. |
DOI : |
10.1071/AN15477 |
Idioma : |
Inglés |
Notas : |
Article history: Received 24 August 2015, accepted 11 November 2015, published online 9 February 2016.
http://dx.doi.org/10.1071/AN15477 |
Contenido : |
Abstract:
The aim of this experiment was to evaluate the utility of CO2 production rate (CPR; g CO2/d) and animal weight (WT) data as proxies for feed-intake to adjust methane production rate (MPR; g CH4/d) in situations where dry-matter intake (DMI) is not known. This experiment measured individual-animal DMI, MPR and CPR in the feedlot, and then again on restricted quantities of grain and roughage diets in open-circuit respiration chambers. Of the 59 cattle tested in the feedlot, 41 had MPR and CPR recorded, and 59 and 57 had test results on the restricted grain and roughage rations. Methane production relative to DMI by individual animals was calculated as methane yield (MY; MPR/ DMI) and as residual methane production (RMPDMI; calculated as MPR less predicted MPR based on DMI). A second form of residual methane production: RMPCO2, was calculated by regressing MPR against CPR to determine whether animals were producing more or less CH4 than predicted for their CPR. Carbon-dioxide production rate was positively associated with DMI in all 3 test phases (R2=0.25, 0.45 and 0.47; all P<0.001). The associations for MY with MPR:CPR were moderate and positive: R2=0.49 in the feedlot test; R2=0.37 in the restricted grain test; and R2=0.59 in the restricted roughage test, and with RMPCO2 R-square were 0.57, 0.34 and 0.59 in the 3 test phases (all P<0.001). The R-square for RMPDMI with MPR:CPR in all 3 tests were 0.50, 0.79 and 0.69, and with RMPCO2 R-square were 0.68, 0.79 and 0.68 (all P<0.001). The high R-square for MY with MPR:CPR and RMPCO2 and even higher R-square for RMPDMI with MPR:CPR and RMPCO2 in all 3 test phases showed that CPR can be used to adjust MPR data for DMI when DMI is not recorded. In the feedlot test, where animal WT data was recorded over 70 days, MPR adjusted for WT and WT gain had R-square with MY and RMPDMI of 0.60 and 0.83 respectively (P<0.001) offering the possibility that animal WT data determined over an extended time period could also be used as a proxy for DMI in adjustment of MPR. MenosAbstract:
The aim of this experiment was to evaluate the utility of CO2 production rate (CPR; g CO2/d) and animal weight (WT) data as proxies for feed-intake to adjust methane production rate (MPR; g CH4/d) in situations where dry-matter intake (DMI) is not known. This experiment measured individual-animal DMI, MPR and CPR in the feedlot, and then again on restricted quantities of grain and roughage diets in open-circuit respiration chambers. Of the 59 cattle tested in the feedlot, 41 had MPR and CPR recorded, and 59 and 57 had test results on the restricted grain and roughage rations. Methane production relative to DMI by individual animals was calculated as methane yield (MY; MPR/ DMI) and as residual methane production (RMPDMI; calculated as MPR less predicted MPR based on DMI). A second form of residual methane production: RMPCO2, was calculated by regressing MPR against CPR to determine whether animals were producing more or less CH4 than predicted for their CPR. Carbon-dioxide production rate was positively associated with DMI in all 3 test phases (R2=0.25, 0.45 and 0.47; all P<0.001). The associations for MY with MPR:CPR were moderate and positive: R2=0.49 in the feedlot test; R2=0.37 in the restricted grain test; and R2=0.59 in the restricted roughage test, and with RMPCO2 R-square were 0.57, 0.34 and 0.59 in the 3 test phases (all P<0.001). The R-square for RMPDMI with MPR:CPR in all 3 tests were 0.50, 0.79 and 0.69, and with RMPCO2 R-square were 0.68, 0.79 and 0.68... Presentar Todo |
Palabras claves : |
GANADO VACUNO; GAS METANO; GASES EFECTO INVERNADERO; GEM; GREENHOUSE GAS; RESPIRATION CHAMBER. |
Asunto categoría : |
P01 Conservación de la naturaleza y recursos de La tierra |
Marc : |
LEADER 02904naa a2200253 a 4500 001 1053986 005 2019-10-11 008 2016 bl uuuu u00u1 u #d 024 7 $a10.1071/AN15477$2DOI 100 1 $aHERD, R.M. 245 $aProxies to adjust methane production rate of beef cattle when the quantity of feed consumed is unknown.$h[electronic resource] 260 $c2016 500 $aArticle history: Received 24 August 2015, accepted 11 November 2015, published online 9 February 2016. http://dx.doi.org/10.1071/AN15477 520 $aAbstract: The aim of this experiment was to evaluate the utility of CO2 production rate (CPR; g CO2/d) and animal weight (WT) data as proxies for feed-intake to adjust methane production rate (MPR; g CH4/d) in situations where dry-matter intake (DMI) is not known. This experiment measured individual-animal DMI, MPR and CPR in the feedlot, and then again on restricted quantities of grain and roughage diets in open-circuit respiration chambers. Of the 59 cattle tested in the feedlot, 41 had MPR and CPR recorded, and 59 and 57 had test results on the restricted grain and roughage rations. Methane production relative to DMI by individual animals was calculated as methane yield (MY; MPR/ DMI) and as residual methane production (RMPDMI; calculated as MPR less predicted MPR based on DMI). A second form of residual methane production: RMPCO2, was calculated by regressing MPR against CPR to determine whether animals were producing more or less CH4 than predicted for their CPR. Carbon-dioxide production rate was positively associated with DMI in all 3 test phases (R2=0.25, 0.45 and 0.47; all P<0.001). The associations for MY with MPR:CPR were moderate and positive: R2=0.49 in the feedlot test; R2=0.37 in the restricted grain test; and R2=0.59 in the restricted roughage test, and with RMPCO2 R-square were 0.57, 0.34 and 0.59 in the 3 test phases (all P<0.001). The R-square for RMPDMI with MPR:CPR in all 3 tests were 0.50, 0.79 and 0.69, and with RMPCO2 R-square were 0.68, 0.79 and 0.68 (all P<0.001). The high R-square for MY with MPR:CPR and RMPCO2 and even higher R-square for RMPDMI with MPR:CPR and RMPCO2 in all 3 test phases showed that CPR can be used to adjust MPR data for DMI when DMI is not recorded. In the feedlot test, where animal WT data was recorded over 70 days, MPR adjusted for WT and WT gain had R-square with MY and RMPDMI of 0.60 and 0.83 respectively (P<0.001) offering the possibility that animal WT data determined over an extended time period could also be used as a proxy for DMI in adjustment of MPR. 653 $aGANADO VACUNO 653 $aGAS METANO 653 $aGASES EFECTO INVERNADERO 653 $aGEM 653 $aGREENHOUSE GAS 653 $aRESPIRATION CHAMBER 700 1 $aVELAZCO, J.I. 700 1 $aARTHUR, P. F. 700 1 $aHEGARTY, R. S. 773 $tAnimal Production Science, 2016, 56, p. 231-237.
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