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Biblioteca (s) : |
INIA Treinta y Tres. |
Fecha : |
31/07/2018 |
Actualizado : |
11/10/2019 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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. |
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. |
Título : |
Investigating effects of tulathromycin metaphylaxis on the fecal resistome and microbiome of commercial feedlot cattle early in the feeding period. |
Fecha de publicación : |
2018 |
Fuente / Imprenta : |
Frontier in Microbiology, 2018, 9:1715. |
Páginas : |
14 p. |
DOI : |
10.3389/fmicb.2018.01715 |
Idioma : |
Inglés |
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 |
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 |
Palabras claves : |
METAGENOMICS; METAPHYLAXIS; MICROBIOME; RESISTOME; TULATHROMYCIN. |
Thesagro : |
BOVINOS; FEEDLOT. |
Asunto categoría : |
L73 Enfermedades de los animales |
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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INIA Treinta y Tres (TT) |
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Biblioteca (s) : |
INIA Las Brujas. |
Fecha actual : |
18/02/2021 |
Actualizado : |
18/02/2021 |
Tipo de producción científica : |
Capítulo en Libro Técnico-Científico |
Autor : |
ALANIZ, S.; GEPP, V.; MONDINO, P.; LEONI, C.; MUJICA, V.; NUÑEZ, S.; SCATONI, I. |
Afiliación : |
SANDRA ALANIZ, Universidad de la República (UdelaR)/ Facultad de Agronomía; VIVIENNE GEPP, Universidad de la República (UdelaR)/ Facultad de Agronomía; PEDRO MONDINO, Universidad de la República (UdelaR)/ Facultad de Agronomía; CAROLINA LEONI VELAZCO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; MARIA VALENTINA MUJICA TELIZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; SATURNINO NUÑEZ BUA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; IRIS BEATRIZ SCATONI, Universidad de la República (UdelaR)/ Facultad de Agronomía. |
Título : |
Monitoreo de enfermedades en frutales de pepita. |
Complemento del título : |
Monitoreo de enfermedades por cultivo. |
Fecha de publicación : |
2016 |
Fuente / Imprenta : |
In: Alaniz, S.; Gepp, V.; Mondino, P.; Leoni, C.; Mujica, V.; Núñez, S.; Scatoni, I. Guía de identificación y monitoreo de enfermedades y plagas en frutales de hoja caduca y vid bajo manejo integrado. Montevideo (UY): AFRUPI, 2016. |
Páginas : |
p.39-59. |
ISBN : |
978-9974-8604-0-7 |
Idioma : |
Español |
Contenido : |
ENFERMEDADES DE FRUTALES DE PEPITA: Sarna del manzano, Sarna del Peral, Oídio, Cancros, Phytophthora, Podredumbre amarga, Podredumbre negra,
Podredumbre blanca, Podredumbre por Alternaria, Moho gris. |
Thesagro : |
ENFERMEDADES DE LAS PLANTAS; MANZANA; PERAL. |
Asunto categoría : |
H20 Enfermedades de las plantas |
URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/15013/1/ManualAfrupiFrutales2016-Frutales-de-pepita.pdf
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Marc : |
LEADER 01016nam a2200241 a 4500 001 1061726 005 2021-02-18 008 2016 bl uuuu u0uu1 u #d 020 $a978-9974-8604-0-7 100 1 $aALANIZ, S. 245 $aMonitoreo de enfermedades en frutales de pepita.$h[electronic resource] 260 $aIn: Alaniz, S.; Gepp, V.; Mondino, P.; Leoni, C.; Mujica, V.; Núñez, S.; Scatoni, I. Guía de identificación y monitoreo de enfermedades y plagas en frutales de hoja caduca y vid bajo manejo integrado. Montevideo (UY): AFRUPI$c2016 300 $ap.39-59. 520 $aENFERMEDADES DE FRUTALES DE PEPITA: Sarna del manzano, Sarna del Peral, Oídio, Cancros, Phytophthora, Podredumbre amarga, Podredumbre negra, Podredumbre blanca, Podredumbre por Alternaria, Moho gris. 650 $aENFERMEDADES DE LAS PLANTAS 650 $aMANZANA 650 $aPERAL 700 1 $aGEPP, V. 700 1 $aMONDINO, P. 700 1 $aLEONI, C. 700 1 $aMUJICA, V. 700 1 $aNUÑEZ, S. 700 1 $aSCATONI, I.
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