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Registro completo
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Biblioteca (s) : |
INIA Treinta y Tres. |
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Fecha : |
31/07/2018 |
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Actualizado : |
11/10/2019 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Autor : |
DOSTER, E.; ROVIRA, P.J.; NOYES, N.R.; BURGESS, B. A.; YANG, X.; WEINROTH, M.D.; LAKIN, S.M.; DEAN, C.J.; LINKE, L.; MAGNUSON, R.; JONES, K.I.; BOUCHER, C.; RUIZ, J.; BELK, K.E.; MORLEY, P.S. |
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Afiliación : |
ENRIQUE DOSTER, Microbial Ecology Group, Colorado State University, USA. Department of Microbiology, Inmunology and Pathology, Colorado State University. USA.; PABLO JUAN ROVIRA SANZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. Microbial Ecology Group, Colorado State University. Department of Microbiology, Imnunology and Pathology, Colorado State University, USA.; NOELLE R. NOYES., Microbial Ecology Group, Colorado State University. Department of Veterinary Population Medicine, University of Minnesota.; BRANDY A. BURGESS, Department of Population Health, University of Georgia, USA.; XIANG YANG, Microbial Ecology Group, Colorado State University. Department of Animal Sciences, Colorado State University, USA.; MARGARET D. WEINROTH, Microbial Ecology Group, Colorado State University. Department of Animal Sciences, Colorado State University, USA.; STEVEN M. LAKIN, Microbial Ecology Group, Colorado State University. Department of Microbiology, Immunology and Pathology, Colorado State University, USA.; CHRISTOPHER J. DEAN, Microbial Ecology Group, Colorado State University. Department of Microbiology, Immunology and Pathology, Colorado State University, USA.; LYNDSEY LINKE, Department of Clinical Sciences, Colorado State University, USA.; ROBERTA MAGNUSON, Department of Clinical Sciences, Colorado State University, USA.; KENNETH I. JONES, Department of Biochemistry and Molecular Genetics, University of Colorado, USA.; CHRISTINA BOUCHER, Department of Computer and Information Science and Engineering, University of Florida, USA.; JAMIE RUIZ, Department of Computer and Information Science and Engineering, University of Florida, USA.; KEITH E. BELK, Microbial Ecology Group, Colorado State University. Department of Microbiology, Imnunology and Pathology, Colorado State University, USA.; PAUL S. MORLEY, Microbial Ecology Group, Colorado State University, USA. Department of Microbiology, Inmunology and Pathology, Colorado State University. USA. |
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Título : |
Investigating effects of tulathromycin metaphylaxis on the fecal resistome and microbiome of commercial feedlot cattle early in the feeding period. |
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Fecha de publicación : |
2018 |
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Fuente / Imprenta : |
Frontier in Microbiology, 2018, 9:1715. |
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Páginas : |
14 p. |
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DOI : |
10.3389/fmicb.2018.01715 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received: 14 April 2018; Accepted: 09 July 2018; Published: 30 July 2018.
Open Access journal.
https://doi.org/10.3389/fmicb.2018.01715 |
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Contenido : |
The objective was to examine effects of treating commercial beef feedlot cattle with therapeutic doses of tulathromycin, a macrolide antimicrobial drug, on changes in the fecal resistome and microbiome using shotgun metagenomic sequencing. Two pens of cattle were used, with all cattle in one pen receiving metaphylaxis treatment (800 mg subcutaneous tulathromycin) at arrival to the feedlot, and all cattle in the other pen remaining unexposed to parenteral antibiotics throughout the study period. Fecal samples were collected from 15 selected cattle in each group just prior to treatment (Day 1), and again 11 days later (Day 11). Shotgun sequencing was performed on isolated metagenomic DNA, and reads were aligned to a resistance and a taxonomic database to identify alignments to antimicrobial resistance (AMR) gene accessions and microbiome content. Overall, we identified AMR genes accessions encompassing 9 classes of AMR drugs and encoding 24 unique AMR mechanisms. Statistical analysis was used to identify differences in the resistome and microbiome between the untreated and treated groups at both timepoints, as well as over time. Based on composition and ordination analyses, the resistome and microbiome were not significantly different between the two groups on Day 1 or on Day 11. However, both the resistome and microbiome changed significantly between these two sampling dates. These results indicate that the transition into the feedlot?and associated changes in diet, geography, conspecific exposure, and environment?may exert a greater influence over the fecal resistome and microbiome of feedlot cattle than common metaphylactic antimicrobial drug treatment. MenosThe objective was to examine effects of treating commercial beef feedlot cattle with therapeutic doses of tulathromycin, a macrolide antimicrobial drug, on changes in the fecal resistome and microbiome using shotgun metagenomic sequencing. Two pens of cattle were used, with all cattle in one pen receiving metaphylaxis treatment (800 mg subcutaneous tulathromycin) at arrival to the feedlot, and all cattle in the other pen remaining unexposed to parenteral antibiotics throughout the study period. Fecal samples were collected from 15 selected cattle in each group just prior to treatment (Day 1), and again 11 days later (Day 11). Shotgun sequencing was performed on isolated metagenomic DNA, and reads were aligned to a resistance and a taxonomic database to identify alignments to antimicrobial resistance (AMR) gene accessions and microbiome content. Overall, we identified AMR genes accessions encompassing 9 classes of AMR drugs and encoding 24 unique AMR mechanisms. Statistical analysis was used to identify differences in the resistome and microbiome between the untreated and treated groups at both timepoints, as well as over time. Based on composition and ordination analyses, the resistome and microbiome were not significantly different between the two groups on Day 1 or on Day 11. However, both the resistome and microbiome changed significantly between these two sampling dates. These results indicate that the transition into the feedlot?and associated changes in diet, geography... Presentar Todo |
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Palabras claves : |
METAGENOMICS; METAPHYLAXIS; MICROBIOME; RESISTOME; TULATHROMYCIN. |
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Thesagro : |
BOVINOS; FEEDLOT. |
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Asunto categoría : |
L73 Enfermedades de los animales |
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URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/10933/1/fmicb-09-01715.pdf
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Marc : |
LEADER 02931naa a2200409 a 4500
001 1058855
005 2019-10-11
008 2018 bl uuuu u00u1 u #d
024 7 $a10.3389/fmicb.2018.01715$2DOI
100 1 $aDOSTER, E.
245 $aInvestigating effects of tulathromycin metaphylaxis on the fecal resistome and microbiome of commercial feedlot cattle early in the feeding period.$h[electronic resource]
260 $c2018
300 $a14 p.
500 $aArticle history: Received: 14 April 2018; Accepted: 09 July 2018; Published: 30 July 2018. Open Access journal. https://doi.org/10.3389/fmicb.2018.01715
520 $aThe objective was to examine effects of treating commercial beef feedlot cattle with therapeutic doses of tulathromycin, a macrolide antimicrobial drug, on changes in the fecal resistome and microbiome using shotgun metagenomic sequencing. Two pens of cattle were used, with all cattle in one pen receiving metaphylaxis treatment (800 mg subcutaneous tulathromycin) at arrival to the feedlot, and all cattle in the other pen remaining unexposed to parenteral antibiotics throughout the study period. Fecal samples were collected from 15 selected cattle in each group just prior to treatment (Day 1), and again 11 days later (Day 11). Shotgun sequencing was performed on isolated metagenomic DNA, and reads were aligned to a resistance and a taxonomic database to identify alignments to antimicrobial resistance (AMR) gene accessions and microbiome content. Overall, we identified AMR genes accessions encompassing 9 classes of AMR drugs and encoding 24 unique AMR mechanisms. Statistical analysis was used to identify differences in the resistome and microbiome between the untreated and treated groups at both timepoints, as well as over time. Based on composition and ordination analyses, the resistome and microbiome were not significantly different between the two groups on Day 1 or on Day 11. However, both the resistome and microbiome changed significantly between these two sampling dates. These results indicate that the transition into the feedlot?and associated changes in diet, geography, conspecific exposure, and environment?may exert a greater influence over the fecal resistome and microbiome of feedlot cattle than common metaphylactic antimicrobial drug treatment.
650 $aBOVINOS
650 $aFEEDLOT
653 $aMETAGENOMICS
653 $aMETAPHYLAXIS
653 $aMICROBIOME
653 $aRESISTOME
653 $aTULATHROMYCIN
700 1 $aROVIRA, P.J.
700 1 $aNOYES, N.R.
700 1 $aBURGESS, B. A.
700 1 $aYANG, X.
700 1 $aWEINROTH, M.D.
700 1 $aLAKIN, S.M.
700 1 $aDEAN, C.J.
700 1 $aLINKE, L.
700 1 $aMAGNUSON, R.
700 1 $aJONES, K.I.
700 1 $aBOUCHER, C.
700 1 $aRUIZ, J.
700 1 $aBELK, K.E.
700 1 $aMORLEY, P.S.
773 $tFrontier in Microbiology, 2018, 9:1715.
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Registro original : |
INIA Treinta y Tres (TT) |
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 | Acceso al texto completo restringido a Biblioteca INIA Las Brujas. Por información adicional contacte bibliolb@inia.org.uy. |
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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha actual : |
21/02/2014 |
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Actualizado : |
02/12/2019 |
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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 : |
ARBOLEYA, J.; RESTAINO, E. |
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Afiliación : |
JORGE EDUARDO ARBOLEYA DUFOUR, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; ERNESTO ANGEL RESTAINO GALUP, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
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Título : |
Agricultural extension models in South America: A description of systems in use in Argentina, Brazil, Paraguay, and Uruguay. |
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Fecha de publicación : |
2004 |
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Fuente / Imprenta : |
Horttechnology, 2004, Volume 14, Issue 1, Pages 14-19. DOI: https://doi.org/10.21273/HORTTECH.14.1.0014 |
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ISSN : |
1063-0198 (print) / 1943-7714 (online) |
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DOI : |
10.21273/HORTTECH.14.1.0014 |
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Idioma : |
Inglés |
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Notas : |
Article history: Online Publication Date: Jan 2004. |
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Contenido : |
ABSTRACT.
Information is presented about the linkages and relationships between the research and the transfer of technology-extension systems established within the countries that compose the Common Market of the South [Mercado Común del Sur (MERCOSUR)]. A brief description about the history of agricultural extension in each country is included along with descriptions of the major changes that have occurred within the last 10 years. This analysis allows a general comparison among the different extension approaches, and in particular regarding the institutional development for the system in the four countries of MERCOSUR. |
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Palabras claves : |
Farmer linkages; Research systems; Technology transfer. |
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Thesagro : |
EXTENSIÓN; MERCOSUR. |
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Asunto categoría : |
C20 Extensión |
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Marc : |
LEADER 01461naa a2200229 a 4500
001 1007817
005 2019-12-02
008 2004 bl uuuu u00u1 u #d
022 $a1063-0198 (print) / 1943-7714 (online)
024 7 $a10.21273/HORTTECH.14.1.0014$2DOI
100 1 $aARBOLEYA, J.
245 $aAgricultural extension models in South America$bA description of systems in use in Argentina, Brazil, Paraguay, and Uruguay.$h[electronic resource]
260 $c2004
500 $aArticle history: Online Publication Date: Jan 2004.
520 $aABSTRACT. Information is presented about the linkages and relationships between the research and the transfer of technology-extension systems established within the countries that compose the Common Market of the South [Mercado Común del Sur (MERCOSUR)]. A brief description about the history of agricultural extension in each country is included along with descriptions of the major changes that have occurred within the last 10 years. This analysis allows a general comparison among the different extension approaches, and in particular regarding the institutional development for the system in the four countries of MERCOSUR.
650 $aEXTENSIÓN
650 $aMERCOSUR
653 $aFarmer linkages
653 $aResearch systems
653 $aTechnology transfer
700 1 $aRESTAINO, E.
773 $tHorttechnology, 2004, Volume 14, Issue 1, Pages 14-19. DOI: https://doi.org/10.21273/HORTTECH.14.1.0014
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INIA Las Brujas (LB) |
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