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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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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha actual : |
12/04/2023 |
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Actualizado : |
12/04/2023 |
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Tipo de producción científica : |
Artículos en Revistas Agropecuarias |
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Autor : |
LANFRANCO, B.; FERRARO, B. |
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Afiliación : |
BRUNO ANTONIO LANFRANCO CRESPO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; BRUNO FERRARO ALBERTONI, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
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Título : |
Luego de un año excepcional, ¿qué desafíos y oportunidad es podemos esperar para 2023?. |
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Complemento del título : |
Socio-economía. |
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Fecha de publicación : |
2023 |
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Fuente / Imprenta : |
Revista INIA Uruguay, Marzo 2023, no.72, p.49-52. |
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Serie : |
(Revista INIA; 72). |
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ISSN : |
1510-9011 |
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Idioma : |
Español |
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Contenido : |
Con este título, el jueves 8 de diciembre de 2022 se realizó la VII Jornada de Economía: los números de la Ganadería1, en INIA Treinta y Tres. Con presentaciones
a cargo de reconocidos técnicos, Carlos Molina (IPA), Gonzalo Ducós (FUCREA), Esteban Montes (IPA), Juan Manuel Soares de Lima (INIA) y Enrique Fernández
(INIA), la jornada culminó con un provechoso intercambio sobre los puntos más relevantes. -- (Jornada organizada por IPA, FUCREA e INIA, con apoyo de Sociedad de Fomento de Treinta y Tres, Facultad de Agronomía (Udelar) y OPYPA-MGAP. Las presentaciones y la discusión pueden verse en YouTube (canal INIA): http://www.inia.uy/estaciones-experimentales/direcciones-regionales/inia-treinta-y-tres/VII-Jornada-de-Economia ) |
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Palabras claves : |
UNIDAD DE ECONOMÍA APLICADA - INIA. |
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Thesagro : |
ECONOMIA AGRICOLA; GANADERIA. |
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Asunto categoría : |
E10 Economía y políticas agrícolas |
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URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/17041/1/Revista-INIA-72-marzo-2023-14.pdf
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Marc : |
LEADER 01336naa a2200193 a 4500
001 1064014
005 2023-04-12
008 2023 bl uuuu u00u1 u #d
022 $a1510-9011
100 1 $aLANFRANCO, B.
245 $aLuego de un año excepcional, ¿qué desafíos y oportunidad es podemos esperar para 2023?.$h[electronic resource]
260 $c2023
490 $a(Revista INIA; 72).
520 $aCon este título, el jueves 8 de diciembre de 2022 se realizó la VII Jornada de Economía: los números de la Ganadería1, en INIA Treinta y Tres. Con presentaciones a cargo de reconocidos técnicos, Carlos Molina (IPA), Gonzalo Ducós (FUCREA), Esteban Montes (IPA), Juan Manuel Soares de Lima (INIA) y Enrique Fernández (INIA), la jornada culminó con un provechoso intercambio sobre los puntos más relevantes. -- (Jornada organizada por IPA, FUCREA e INIA, con apoyo de Sociedad de Fomento de Treinta y Tres, Facultad de Agronomía (Udelar) y OPYPA-MGAP. Las presentaciones y la discusión pueden verse en YouTube (canal INIA): http://www.inia.uy/estaciones-experimentales/direcciones-regionales/inia-treinta-y-tres/VII-Jornada-de-Economia )
650 $aECONOMIA AGRICOLA
650 $aGANADERIA
653 $aUNIDAD DE ECONOMÍA APLICADA - INIA
700 1 $aFERRARO, B.
773 $tRevista INIA Uruguay, Marzo 2023, no.72, p.49-52.
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