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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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Registro completo
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Biblioteca (s) : |
INIA Treinta y Tres. |
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Fecha actual : |
08/12/2020 |
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Actualizado : |
10/12/2020 |
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Tipo de producción científica : |
Serie Técnica |
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Autor : |
TERRA, J.A.; MARTÍNEZ, S.; SARAVIA, H.; MESONES, B.; ALVAREZ, O. (Ed.). |
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Afiliación : |
JOSÉ ALFREDO TERRA FERNÁNDEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; SEBASTIÁN MARTÍNEZ KOPP, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; HORACIO SARAVIA DIAZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; BELKY YANEL MESONES PEREIRA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; OLGA MARY ALVAREZ IZA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
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Título : |
Arroz 2020. |
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Fecha de publicación : |
2020 |
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Fuente / Imprenta : |
Montevideo (UY): INIA, 2020. |
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Páginas : |
128 p. |
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Serie : |
(INIA Serie Técnica; 257). |
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ISBN : |
e-ISBN: 978-9974-38-448-4 |
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ISSN : |
1688-9266 |
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DOI : |
10.35676/INIA/ST.257 |
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Idioma : |
Español |
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Notas : |
Jornada virtual Arroz 2020, INIA Treinta y Tres. |
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Contenido : |
Esta Serie Técnica No. 257 refleja los contenidos de la mayor parte de las presentaciones brindadas en los 5 webinarios del ciclo ?Arroz: genética, manejo y diseño del sistema de
producción para su sostenibilidad? realizado en agosto. En el 1er webinario se repasaron los aspectos claves del manejo agronómico del cultivar INIA Merín, en el 2do se analizó la
calidad y la genética como herramientas de competitividad de nuestro arroz en los mercados internacionales, en el 3ero se consideró la sostenibilidad productiva, económica y ambiental de los sistemas de producción; en el 4to se discutieron resultados preliminares del uso de geotecnologías para la nivelación, riego y drenaje en sistemas arroz-soja-pasturas, y
finalmente en el 5to se examinó la relación entre el fenómeno climático La Niña-El Niño y la producción de arroz. Esta instancia es propicia para reconocer las contribuciones de los
equipos de investigación del programa y de la UCTT, así como los invitados externos, que junto al personal de apoyo de las estaciones hizo disponible este material de consulta como
lo hacemos cada año. |
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Palabras claves : |
AMILOSA; ARROZ; ARSÉNICO; BRECHA DE RENDIMIENTO; CALIDAD MOLINERA; CONTROL DE ENFERMEDADES; CONTROL QUIMICO DE ENFERMEDADES; CULTIVAR SLI09197; CULTIVARES ÍNDICA; CULTIVARES JAPÓNICA; DENSIDAD DE SIEMBRA ÓPTIMA; DOSIS DE NITROGENO; EVALUACION DE CULTIVARES; FERTILIZACIÓN NITROGENADA; FITOMEJORAMIENTO; HERBICIDAS; INIA MERÍN; MEZCLA DE HERBICIDAS; RENDIMIENTO DE ARROZ; RESISTENCIA A PYRICULARIA; ROTACIONES DE ARROZ. |
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Asunto categoría : |
F01 Cultivo |
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URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/14832/1/ST-257-Arroz-2020-Noviembre-2020.pdf
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Marc : |
LEADER 02442nam a2200469 a 4500
001 1061541
005 2020-12-10
008 2020 bl uuuu u00u1 u #d
022 $a1688-9266
024 7 $a10.35676/INIA/ST.257$2DOI
100 1 $aTERRA, J.A.
245 $aArroz 2020.$h[electronic resource]
260 $aMontevideo (UY): INIA$c2020
300 $a128 p.
490 $a(INIA Serie Técnica; 257).
500 $aJornada virtual Arroz 2020, INIA Treinta y Tres.
520 $aEsta Serie Técnica No. 257 refleja los contenidos de la mayor parte de las presentaciones brindadas en los 5 webinarios del ciclo ?Arroz: genética, manejo y diseño del sistema de producción para su sostenibilidad? realizado en agosto. En el 1er webinario se repasaron los aspectos claves del manejo agronómico del cultivar INIA Merín, en el 2do se analizó la calidad y la genética como herramientas de competitividad de nuestro arroz en los mercados internacionales, en el 3ero se consideró la sostenibilidad productiva, económica y ambiental de los sistemas de producción; en el 4to se discutieron resultados preliminares del uso de geotecnologías para la nivelación, riego y drenaje en sistemas arroz-soja-pasturas, y finalmente en el 5to se examinó la relación entre el fenómeno climático La Niña-El Niño y la producción de arroz. Esta instancia es propicia para reconocer las contribuciones de los equipos de investigación del programa y de la UCTT, así como los invitados externos, que junto al personal de apoyo de las estaciones hizo disponible este material de consulta como lo hacemos cada año.
653 $aAMILOSA
653 $aARROZ
653 $aARSÉNICO
653 $aBRECHA DE RENDIMIENTO
653 $aCALIDAD MOLINERA
653 $aCONTROL DE ENFERMEDADES
653 $aCONTROL QUIMICO DE ENFERMEDADES
653 $aCULTIVAR SLI09197
653 $aCULTIVARES ÍNDICA
653 $aCULTIVARES JAPÓNICA
653 $aDENSIDAD DE SIEMBRA ÓPTIMA
653 $aDOSIS DE NITROGENO
653 $aEVALUACION DE CULTIVARES
653 $aFERTILIZACIÓN NITROGENADA
653 $aFITOMEJORAMIENTO
653 $aHERBICIDAS
653 $aINIA MERÍN
653 $aMEZCLA DE HERBICIDAS
653 $aRENDIMIENTO DE ARROZ
653 $aRESISTENCIA A PYRICULARIA
653 $aROTACIONES DE ARROZ
700 1 $aMARTÍNEZ, S.
700 1 $aSARAVIA, H.
700 1 $aMESONES, B.
700 1 $aALVAREZ, O.
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