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Registro completo
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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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Registros recuperados : 138 | |
67. | | TISCORNIA, G.; CAL, A.; SOARES DE LIMA, J.M. TIC para sistemas agropecuarios más sostenibles. (Capítulo 24). Cuarta sección. Innovación en agroecología: intercambios que generan valor. Editores: Alfredo Albín y Miguel Sierra. In: Georgina Paula García-Inza; José María Paruelo; Roberto Zoppolo. (eds). Aportes científicos y tecnológicos del Instituto Nacional de Investigación Agropecuaria (INIA) del Uruguay a las trayectorias agroecológicas. Ciudad Autónoma de Buenos Aires : Fundación CICCUS, 2023. p.513-526. p.513-526.Tipo: Capítulo en Libro Técnico-Científico |
Biblioteca(s): INIA Las Brujas. |
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68. | | PEREYRA, S.; CASTRO, M.; GERMÁN, S.; QUINCKE, M.; SILVA, P.; VÁZQUEZ, D.; CAL, A. Avances en el manejo de la fusariosis de la espiga en trigo. Revista INIA Uruguay, 2014, no. 37, p. 43-50 (Revista INIA; 37)Tipo: Artículos en Revistas Agropecuarias |
Biblioteca(s): INIA La Estanzuela. |
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69. | | CAL, A.; PASTORINI, M.; TISCORNIA, G.; RIVAS-RIVERA, N.; GORGOGLIONE, A. Assessing dependence between land use/land cover and water quality: A comparison at a small and a large watershed in Uruguay. [Evaluación de la dependencia entre el uso/cobertura del suelo y la calidad del agua: comparación entre una cuenca pequeña y una grande en Uruguay.]. [Avaliação da dependência entre uso/cobertura do solo equalidade da água: comparação entre uma pequena e um agrande bacia no Uruguai.] Advances in Water in Agroscience. Water quality and environmental sustainability. Agrociencia Uruguay, 2023, Vol.27(NE1), e1192. https://doi.org/10.31285/AGRO.27.1192 -- OPEN ACCESS. Article history: Received 09 May 2023; Accepted 04 October 2023; Published 06 February 2024. -- Editor: Álvaro Otero, Instituto Nacional de Investigación Agropecuaria (INIA), Salto, Uruguay. -- Correspondence: Ángela Gorgoglione,...Tipo: Artículos en Revistas Indexadas Nacionales | Circulación / Nivel : Nacional - -- |
Biblioteca(s): INIA Las Brujas. |
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70. | | ZARZA, R.; CAL, A.; FORMOSO, D.; MEDINA, S.; REY, D.; CARRASCO-LETELIER, L. First delimitation and land-use assessment of the riparian zones at Uruguayan Pampa. Ecological Informatics, November 2022, Volume 71, 101781. doi: https://doi.org/10.1016/j.ecoinf.2022.101781 Article history: Received 4 May 2022, Revised 16 July 2022; Accepted 17 August 2022; Available online 25 August 2022; Version of Record 7 September 2022.
Supplementary data to this article can be found online at...Tipo: Artículos en Revistas Indexadas Internacionales | Circulación / Nivel : Internacional - -- |
Biblioteca(s): INIA La Estanzuela. |
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Registros recuperados : 138 | |
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