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Registro completo
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Biblioteca (s) : |
INIA Treinta y Tres. |
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Fecha : |
04/09/2019 |
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Actualizado : |
16/03/2021 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Autor : |
ROVIRA, P.J.; MCALLISTER, T.; LAKIN, S.M.; COOK, S.R.; DOSTER, E.; NOYES, N. R.; WEINROTH, M.D.; YANG, X.; PARKER, J. K.; BOUCHER, C.; BOOKER, C. W.; WOENER, D. R.; BELK, K. E.; MORLEY, P. S. |
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Afiliación : |
PABLO JUAN ROVIRA SANZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. Department of Animal Sciences, College of Agricultural Sciences, Colorado State University, USA.; TIM MCALLISTER, Lethbridge Research and Development Centre, Agriculture and Agri-Food Canada.; STEVEN M. LAKIN, Department of Microbiology, Immunology and Pathology, College of Veterinary Medicine and Biomedical Sciences, Colorado State University, USA.; SHAUN R. COOK, Alberta Agricultural and forestry, Lethbridge, Canada.; ENRIQUE DOSTER, Department of Microbiology, Immunology and Pathology, College of Veterinary Medicine and Biomedical Sciences, Colorado State University, USA.; NOELLE R. NOYES, Veterinary Population Medicine Department, University of Minnesota, USA.; MAGGIE D. WEINROTH, Department of Animal Sciences, College of Agricultural Sciences, Colorado State University, USA.; XIANG YANG, Department of Animal Science, University of California, Davis, USA.; JENNIFER K. PARKER, Deparment of Molecular Biosciences, University of Florida, Gainesville, FL, USA.; CHRISTINA BOUCHER, Deparment of Computer and Information Science and Engineering, University of Florida, Gainessville, FL, USA.; CALVIN W. BOOKER, Feedlot Health Management Services, Okotoks, AB, Canada.; DALE R. WOEMER, Deparment of Animal and Food Sciences, College of Agricultural Sciences & Natural Resources, Texas University, TX, USA.; KEITH E. BELK, Department of Animal Sciences, College of Agricultural Sciences, Colorado State University, USA.; PAUL S. MORLEY, VERO, Veterinary Education, Research , and Outreach Program, Texas A&M University and West Texas A&M University, Canyon, TX, USA. |
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Título : |
Characterization of the microbial resistome in conventional and "raised without antibiotics" beef and dairy production systems. |
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Fecha de publicación : |
2019 |
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Fuente / Imprenta : |
Frontier in Microbiology, September 2019. v. 10, article 1980, 11 p. OPEN ACCESS. |
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DOI : |
10.3389/fmicb.2019.01980 |
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Idioma : |
Inglés |
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Notas : |
Received 18 March 2019 // Accepted 12 August 2019 // Published 4 September 2019. |
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Contenido : |
Metagenomic investigations have the potential to provide unprecedented insights into microbial ecologies, such as those relating to antimicrobial resistance (AMR). We characterized the microbial resistome in livestock operations raising cattle conventionally (CONV) or without antibiotic exposures (RWA) using shotgun metagenomics. Samples of feces, wastewater from catchment basins, and soil where wastewater was applied were collected from CONV and RWA feedlot and dairy farms. After DNA extraction and sequencing, shotgun metagenomic reads were aligned to reference databases for identification of bacteria (Kraken) and antibiotic resistance genes (ARGs) accessions (MEGARes). Differences in microbial resistomes were found across farms with different production practices (CONV vs. RWA), types of cattle (beef vs. dairy), and types of sample (feces vs. wastewater vs. soil). Feces had the greatest number of ARGs per sample (mean = 118 and 79 in CONV and RWA, respectively), with tetracycline efflux pumps, macrolide phosphotransferases, and aminoglycoside nucleotidyltransferases mechanisms of resistance more abundant in CONV than in RWA feces. Tetracycline and macrolide-lincosamide-streptogramin classes of resistance were more abundant in feedlot cattle than in dairy cow feces, whereas the b-lactam class was more abundant in dairy cow feces. Lack of congruence between ARGs and microbial communities (procrustes analysis) suggested that other factors (e.g., location of farms, cattle source, management practices, diet, horizontal ARGs transfer, and co-selection of resistance), in addition to antimicrobial use, could have impacted resistome profiles. For that reason, we could not establish a cause-effect relationship between antimicrobial use and AMR, although ARGs in feces and effluents were associated with drug classes used to treat animals according to farms' records (tetracyclines and macrolides in feedlots, b-lactams in dairies), whereas ARGs in soil were dominated by multidrug resistance.
Characterization of the "resistance potential" of animal-derived and environmental samples is the first step toward incorporating metagenomic approaches into AMR surveillance in agricultural systems. Further research is needed to assess the publichealth risk associated with different microbial resistomes. MenosMetagenomic investigations have the potential to provide unprecedented insights into microbial ecologies, such as those relating to antimicrobial resistance (AMR). We characterized the microbial resistome in livestock operations raising cattle conventionally (CONV) or without antibiotic exposures (RWA) using shotgun metagenomics. Samples of feces, wastewater from catchment basins, and soil where wastewater was applied were collected from CONV and RWA feedlot and dairy farms. After DNA extraction and sequencing, shotgun metagenomic reads were aligned to reference databases for identification of bacteria (Kraken) and antibiotic resistance genes (ARGs) accessions (MEGARes). Differences in microbial resistomes were found across farms with different production practices (CONV vs. RWA), types of cattle (beef vs. dairy), and types of sample (feces vs. wastewater vs. soil). Feces had the greatest number of ARGs per sample (mean = 118 and 79 in CONV and RWA, respectively), with tetracycline efflux pumps, macrolide phosphotransferases, and aminoglycoside nucleotidyltransferases mechanisms of resistance more abundant in CONV than in RWA feces. Tetracycline and macrolide-lincosamide-streptogramin classes of resistance were more abundant in feedlot cattle than in dairy cow feces, whereas the b-lactam class was more abundant in dairy cow feces. Lack of congruence between ARGs and microbial communities (procrustes analysis) suggested that other factors (e.g., location of farms, cattle sour... Presentar Todo |
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Palabras claves : |
ANTIBIOTIC RESISTANCE; CATTLE; CATTLE BEEF; DAIRY CATTLE; METAGENOMICA; METAGENOMICS; MICROBIOMA; MICROBIOME; RESISTENCIA A ANTIBIÓTICOS; RESISTOME. |
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Thesagro : |
BOVINOS; BOVINOS DE CARNE; GANADO LECHERO. |
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Asunto categoría : |
-- |
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URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/13237/1/Rovira-Front-microb-2019.pdf
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Marc : |
LEADER 03681naa a2200457 a 4500
001 1060137
005 2021-03-16
008 2019 bl uuuu u00u1 u #d
024 7 $a10.3389/fmicb.2019.01980$2DOI
100 1 $aROVIRA, P.J.
245 $aCharacterization of the microbial resistome in conventional and "raised without antibiotics" beef and dairy production systems.$h[electronic resource]
260 $c2019
500 $aReceived 18 March 2019 // Accepted 12 August 2019 // Published 4 September 2019.
520 $aMetagenomic investigations have the potential to provide unprecedented insights into microbial ecologies, such as those relating to antimicrobial resistance (AMR). We characterized the microbial resistome in livestock operations raising cattle conventionally (CONV) or without antibiotic exposures (RWA) using shotgun metagenomics. Samples of feces, wastewater from catchment basins, and soil where wastewater was applied were collected from CONV and RWA feedlot and dairy farms. After DNA extraction and sequencing, shotgun metagenomic reads were aligned to reference databases for identification of bacteria (Kraken) and antibiotic resistance genes (ARGs) accessions (MEGARes). Differences in microbial resistomes were found across farms with different production practices (CONV vs. RWA), types of cattle (beef vs. dairy), and types of sample (feces vs. wastewater vs. soil). Feces had the greatest number of ARGs per sample (mean = 118 and 79 in CONV and RWA, respectively), with tetracycline efflux pumps, macrolide phosphotransferases, and aminoglycoside nucleotidyltransferases mechanisms of resistance more abundant in CONV than in RWA feces. Tetracycline and macrolide-lincosamide-streptogramin classes of resistance were more abundant in feedlot cattle than in dairy cow feces, whereas the b-lactam class was more abundant in dairy cow feces. Lack of congruence between ARGs and microbial communities (procrustes analysis) suggested that other factors (e.g., location of farms, cattle source, management practices, diet, horizontal ARGs transfer, and co-selection of resistance), in addition to antimicrobial use, could have impacted resistome profiles. For that reason, we could not establish a cause-effect relationship between antimicrobial use and AMR, although ARGs in feces and effluents were associated with drug classes used to treat animals according to farms' records (tetracyclines and macrolides in feedlots, b-lactams in dairies), whereas ARGs in soil were dominated by multidrug resistance. Characterization of the "resistance potential" of animal-derived and environmental samples is the first step toward incorporating metagenomic approaches into AMR surveillance in agricultural systems. Further research is needed to assess the publichealth risk associated with different microbial resistomes.
650 $aBOVINOS
650 $aBOVINOS DE CARNE
650 $aGANADO LECHERO
653 $aANTIBIOTIC RESISTANCE
653 $aCATTLE
653 $aCATTLE BEEF
653 $aDAIRY CATTLE
653 $aMETAGENOMICA
653 $aMETAGENOMICS
653 $aMICROBIOMA
653 $aMICROBIOME
653 $aRESISTENCIA A ANTIBIÓTICOS
653 $aRESISTOME
700 1 $aMCALLISTER, T.
700 1 $aLAKIN, S.M.
700 1 $aCOOK, S.R.
700 1 $aDOSTER, E.
700 1 $aNOYES, N. R.
700 1 $aWEINROTH, M.D.
700 1 $aYANG, X.
700 1 $aPARKER, J. K.
700 1 $aBOUCHER, C.
700 1 $aBOOKER, C. W.
700 1 $aWOENER, D. R.
700 1 $aBELK, K. E.
700 1 $aMORLEY, P. S.
773 $tFrontier in Microbiology, September 2019.$gv. 10, article 1980, 11 p. OPEN ACCESS.
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Registro original : |
INIA Treinta y Tres (TT) |
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 | Acceso al texto completo restringido a Biblioteca INIA La Estanzuela. Por información adicional contacte bib_le@inia.org.uy. |
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Registro completo
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Biblioteca (s) : |
INIA La Estanzuela. |
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Fecha actual : |
15/01/2020 |
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Actualizado : |
15/01/2020 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Circulación / Nivel : |
Internacional - -- |
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Autor : |
CASTELLS, M.; GIANNITTI, F.; CAFFARENA, D.; CASAUX, M.L.; SCHILD, C.; CASTELLS, D.; RIET-CORREA, F.; VICTORIA, M.; PAREÑO, V.; COLINA, R. |
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Afiliación : |
MATÍAS CASTELLS BAUER, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay./Laboratorio de Virología Molecular CENUR Litoral Norte, Centro Universitario de Salto, Universidad de la República Salto Uruguay.; FEDERICO GIANNITTI, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; RUBEN DARÍO CAFFARENA LEDESMA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; MARÍA LAURA CASAUX, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; CARLOS SCHILD, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; DANIEL CASTELLS, Centro de Investigación y Experimentación Dr. Alejandro Gallinal, Secretariado Uruguayo de la Lana, Ruta 7 km 140, Cerro Colorado, Florida, Uruguay.; FRANKLIN RIET-CORREA AMARAL, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; MATÍAS VISTORIA, Laboratorio de Virología Molecular CENUR Litoral Norte, Centro Universitario de Salto, Universidad de la República Salto Uruguay; VIVIANA PAREÑO, Sección de Virus Gastroentéricos, Instituto de Virología, CICV y A, INTA Castelar Buenos Aires Argentina.; RODNEY COLINA, Laboratorio de Virología Molecular, CENUR Litoral Norte, Centro Universitario de Salto, Universidad de la República, Rivera 1350, Salto, Uruguay. |
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Título : |
Bovine coronavirus in Uruguay: genetic diversity, risk factors and transboundary introductions from neighboring countries. |
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Fecha de publicación : |
2019 |
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Fuente / Imprenta : |
Archives of Virology,2019 Nov, Vol. 164 (11), p. 2715-2724. DOI: https://10.1007/s00705-019-04384-w |
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ISSN : |
1432-8798 (online) |
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DOI : |
10.1007/s00705-019-04384-w |
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Idioma : |
Inglés |
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Notas : |
Article history:Received 26 June 2019/Accepted 30 July 2019/Published 27 August 2019. |
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Contenido : |
Abstract: Bovine coronavirus (BCoV) is a recognized cause of severe neonatal calf diarrhea, with a negative impact on animal welfare, leading to economic losses to the livestock industry. Cattle production is one of the most important economic sectors in Uruguay. The aim of this study was to determine the frequency of BCoV infections and their genetic diversity in Uruguayan calves and to describe the evolutionary history of the virus in South America. The overall detection rate of BCoV in Uruguay was 7.8% (64/824): 7.7% (60/782) in dairy cattle and 9.5% (4/42) in beef cattle. The detection rate of BCoV in samples from deceased and live calves was 10.0% (6/60) and 7.6% (58/763), respectively. Interestingly, there was a lower frequency of BCoV detection in calves born to vaccinated dams (3.3%, 8/240) than in calves born to unvaccinated dams (12.2%, 32/263) (OR: 4.02, 95%CI: 1.81-8.90; p = 0.00026). The frequency of BCoV detection was higher in colder months (11.8%, 44/373) than in warmer months (1.5%, 3/206) (OR: 9.05, 95%CI: 2.77-29.53, p = 0.000013). Uruguayan strains grouped together in two different lineages: one with Argentinean strains and the other with Brazilian strains. Both BCoV lineages were estimated to have entered Uruguay in 2013: one of them from Brazil (95%HPD interval: 2011-2014) and the other from Argentina (95%HPD interval: 2010-2014). The lineages differed by four amino acid changes, and both were divergent from the Mebus reference strain. Surveillance should be maintained to detect possible emerging strains that can clearly diverge at the antigenic level from vaccine strains. MenosAbstract: Bovine coronavirus (BCoV) is a recognized cause of severe neonatal calf diarrhea, with a negative impact on animal welfare, leading to economic losses to the livestock industry. Cattle production is one of the most important economic sectors in Uruguay. The aim of this study was to determine the frequency of BCoV infections and their genetic diversity in Uruguayan calves and to describe the evolutionary history of the virus in South America. The overall detection rate of BCoV in Uruguay was 7.8% (64/824): 7.7% (60/782) in dairy cattle and 9.5% (4/42) in beef cattle. The detection rate of BCoV in samples from deceased and live calves was 10.0% (6/60) and 7.6% (58/763), respectively. Interestingly, there was a lower frequency of BCoV detection in calves born to vaccinated dams (3.3%, 8/240) than in calves born to unvaccinated dams (12.2%, 32/263) (OR: 4.02, 95%CI: 1.81-8.90; p = 0.00026). The frequency of BCoV detection was higher in colder months (11.8%, 44/373) than in warmer months (1.5%, 3/206) (OR: 9.05, 95%CI: 2.77-29.53, p = 0.000013). Uruguayan strains grouped together in two different lineages: one with Argentinean strains and the other with Brazilian strains. Both BCoV lineages were estimated to have entered Uruguay in 2013: one of them from Brazil (95%HPD interval: 2011-2014) and the other from Argentina (95%HPD interval: 2010-2014). The lineages differed by four amino acid changes, and both were divergent from the Mebus reference strain. Surveillance shou... Presentar Todo |
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Palabras claves : |
CATTLE DISEASES; CORONAVIRUS; PLATAFORMA DE SALUD ANIMAL. |
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Thesagro : |
EPIDEMIOLOGIA. |
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Asunto categoría : |
E16 Enfermedades de los animales |
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Marc : |
LEADER 02667naa a2200313 a 4500
001 1060611
005 2020-01-15
008 2019 bl uuuu u00u1 u #d
022 $a1432-8798 (online)
024 7 $a10.1007/s00705-019-04384-w$2DOI
100 1 $aCASTELLS, M.
245 $aBovine coronavirus in Uruguay$bgenetic diversity, risk factors and transboundary introductions from neighboring countries.$h[electronic resource]
260 $c2019
500 $aArticle history:Received 26 June 2019/Accepted 30 July 2019/Published 27 August 2019.
520 $aAbstract: Bovine coronavirus (BCoV) is a recognized cause of severe neonatal calf diarrhea, with a negative impact on animal welfare, leading to economic losses to the livestock industry. Cattle production is one of the most important economic sectors in Uruguay. The aim of this study was to determine the frequency of BCoV infections and their genetic diversity in Uruguayan calves and to describe the evolutionary history of the virus in South America. The overall detection rate of BCoV in Uruguay was 7.8% (64/824): 7.7% (60/782) in dairy cattle and 9.5% (4/42) in beef cattle. The detection rate of BCoV in samples from deceased and live calves was 10.0% (6/60) and 7.6% (58/763), respectively. Interestingly, there was a lower frequency of BCoV detection in calves born to vaccinated dams (3.3%, 8/240) than in calves born to unvaccinated dams (12.2%, 32/263) (OR: 4.02, 95%CI: 1.81-8.90; p = 0.00026). The frequency of BCoV detection was higher in colder months (11.8%, 44/373) than in warmer months (1.5%, 3/206) (OR: 9.05, 95%CI: 2.77-29.53, p = 0.000013). Uruguayan strains grouped together in two different lineages: one with Argentinean strains and the other with Brazilian strains. Both BCoV lineages were estimated to have entered Uruguay in 2013: one of them from Brazil (95%HPD interval: 2011-2014) and the other from Argentina (95%HPD interval: 2010-2014). The lineages differed by four amino acid changes, and both were divergent from the Mebus reference strain. Surveillance should be maintained to detect possible emerging strains that can clearly diverge at the antigenic level from vaccine strains.
650 $aEPIDEMIOLOGIA
653 $aCATTLE DISEASES
653 $aCORONAVIRUS
653 $aPLATAFORMA DE SALUD ANIMAL
700 1 $aGIANNITTI, F.
700 1 $aCAFFARENA, D.
700 1 $aCASAUX, M.L.
700 1 $aSCHILD, C.
700 1 $aCASTELLS, D.
700 1 $aRIET-CORREA, F.
700 1 $aVICTORIA, M.
700 1 $aPAREÑO, V.
700 1 $aCOLINA, R.
773 $tArchives of Virology,2019 Nov, Vol. 164 (11), p. 2715-2724. DOI: https://10.1007/s00705-019-04384-w
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