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| Registros recuperados : 20 | |
| 1. |  | ROVIRA, P.J.; BRAULT, S.A.; COSTARD, S.; MORLEY, P.S.; BELK, K.E. Association between antimicrobial use and antimicrobial resistance in bacteria isolated from feces or respiratory secretions of feedlot cattle: a systematic review and meta-analysis. [Abstract]. ln: Conference of Research Workers in Animal Disease. (3-5 Dec., 2017, Chicago, Illinois, USA) Presentation Abstracts. Chicago, Illinois (USA): CRWAD, 2017. p. 103.| Biblioteca(s): INIA Treinta y Tres. |
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| 2. | | WEINROTH, M.; ROVIRA, P.J.; YANG, X.; PARKER, J.; MORLEY, P.S.; BELK, K.E. Characterization of antibiotic resistance transmission in the beef production system. Abstract. In: RCM Reciprocal Meat Conference, 71, Kansas City, 2018. Kansas, American Meat Science Association (AMSA), 2018.| Biblioteca(s): INIA Treinta y Tres. |
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| 4. | | LUZARDO, S.; WOERNER, D.R.; GEORNARAS, I.; ENGLE, T.E.; DELMORE, R.J.; HESS, A.M.; BELK, K.E. Effect of packaging during storage time on retail display shelf life of longissimus muscle from two different beef production systems. Journal of Animal Science, 2016, v. 94, p. 2614-2623. Doi: https://doi.org/10.2527/jas.2016-0305 Article history:Received January 14, 2016; Accepted March 25, 2016.| Biblioteca(s): INIA Tacuarembó. |
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| 5. | | WEINROTH, M.D.; YANG, X.; NOYES, N.R.; ROVIRA, P.J.; MARTIN, J.N.; MORLEY, P.S.; BELK, K.E. Foodborne pathogens and virulence in the microbiome of cattle grown naturally verses conventionally. In: 63rd International Congress of Meat Science and Technology. Cork. Ireland. 2017. Troy, D.; McDonnell, C.; Hinds, L.; Kerry, J. eds. Nurturing locally, growing globally. The Netherlands: Wageningen Academic Publishers, 2017. p. 505-507| Biblioteca(s): INIA Treinta y Tres. |
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| 7. | | NOYES, N. R.; ABDO, Z.; ROVIRA, P.J.; DOSTER, E.; YANG, X.; LINKE, L. M.; BURGESS, B. A.; MARTIN. J.; BOUCHER, C.; MORLEY, P. S.; BELK, K. E. A bayesian approach to investigating the effect of metaphylaxis on the microbiome-resistance of the commercial feedlot steers. Abstract. In: Plant and Animal Genome Conference, 24. San Diego, USA, 2016.| Biblioteca(s): INIA Treinta y Tres. |
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| 8. | | NOYES, N.; WEINROTH, M.; LAKIN, S.; DOSTER, E.; RAYMOND, R.; ROVIRA, P.J.; ABDO, Z.; RUIZ, J.; MARTIN, J.; BOUCHER, C.; JONES, K.; BELK, K.E. Comparing the resistome of poultry, swine, cattle and salmon production and nearby human waste water treatment plants. [Abstract]. In: Conference of Research Workers in Animal Diseases, 96th, 2015,Chicago (USA): CRWAD, 2015. p. 127.| Biblioteca(s): INIA Treinta y Tres. |
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| 9. | | DOSTER, E.; ROVIRA, P.J.; NOYES, N.R.; BURGESS, B.A.; YANG, X.; WEINROTH, M.D.; LINKE, L.; MAGNUSON, R.; BOUCHER, C.; BELK, K.E.; MORLEY, P.S. A cautionary report for pathogen identification using shotgun metagenomics; a comparison to aerobic culture and polymerase chain reaction for Salmonella enterica identification. Frontier in Microbiology, 2019, 10:2499. doi: 10.3389/fmicb.2019.02499 7 p. Article history: received: 8 July 2019 // Accepted 16 October 2019 // Published 01 November 2019.
Open Access Journal. www.frontiersin.org| Biblioteca(s): INIA Treinta y Tres. |
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| 10. | | ROVIRA, P.J.; SCANGA, J.A.; GRANDIN, T.; HOSSNER, K.L.; YEMM, R.S.; BELK, K.E.; TATUM, D.; SOFOS, J.N.; SMITH, G.C. Central nervous system tissue contamination of the circulatory system following humane cattle stunning procedures. Food Protection Trends, 2007, vol. 27, no. 7, p. 524-529| Biblioteca(s): INIA Treinta y Tres. |
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| 11. | | VIKRAM, A.; ROVIRA, P.J.; AGGA, G.E.; ARTHUR, T.M.; BOSILEVAC, J.M.; WHEELER, T.L.; MORLEY, P.S.; BELK, K.E.; SCHMIDT, J.W. Impact of "Raised Without Antibiotics" beef cattle production practices on occurrences of antimicrobial resistance. Applied and Environmental Microbiology, 2017, v. 83, no. 22, e01682-17. Article history: Accepted manuscript posted online 8 September 2017// published in november 2017.| Biblioteca(s): INIA Treinta y Tres. |
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| 12. | | DOSTER, E.; ROVIRA, P.J.; NOYES, NOELLE R.; BURGESS, B.A.; MAGNUSON, R.; JONES, KENNETH; BOUCHER, C.; RUIZ, JAIME; BELK, K. E. Investigating the effect of tulathromycin exposure on potential microbial community function in feedlot cattle during the early feeding period using shotgun metagenomics. [Abstract]. In: Scientific Annual Research Day, 17. Fort Collins. 2016. Proceedings. Fort Collins: Colorado State University, 2016 p. 18.| Biblioteca(s): INIA Treinta y Tres. |
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| 13. | | LAKIN, S.M.; DEAN, C.J.; DETTENWANGER, A.; ROSS, A.; DOSTER, E.; ROVIRA, P.J.; ABDO, Z.; JONES, K.L.; BELK, K.E.; MORLEY, P.S.; BOUCHER, C. MEGaRES and AmrPlusPlus, a comprehensive database of antimicrobial resistance genes and user-friendly pipeline for analysis of high-throughput sequencing data.[Abstract]. In: PROCEEDINGS OF THE 96TH ANNUAL CONFERENCE OF RESEARCH WORKERS IN ANIMAL DEISEASES, CHICAGO, USA. 2016. Session Ecology and Management of Foodborne Agents. 065.| Biblioteca(s): INIA Treinta y Tres. |
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| 14. | | 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. Characterization of the microbial resistome in conventional and "raised without antibiotics" beef and dairy production systems. Frontier in Microbiology, September 2019. v. 10, article 1980, 11 p. OPEN ACCESS. Received 18 March 2019 // Accepted 12 August 2019 // Published 4 September 2019.| Biblioteca(s): INIA Treinta y Tres. |
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| 15. | | WEINROTH, M.D.; SCOTT, H.M.; NORBY, B.; LONERAGAN, G.H.; NOYES, N.R.; ROVIRA, P.J.; DOSTER, E.; YANG, X.; WOERNER, D.R.; MORLEY, P.S.; BELK, K.E. Effects of ceftiofur and chlortetracycline on the resistomes of feedlot cattle. Applied and Environmental Microbiology, July 2018, vol. 84, no.13, e00610-18. This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license. Article history: Received 15 March 2018. / Accepted 24 April 2018. / Accepted manuscript posted online 4 May 2018. OPEN ACCESS.| Biblioteca(s): INIA Las Brujas; INIA Treinta y Tres. |
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| 16. | | 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. Investigating effects of tulathromycin metaphylaxis on the fecal resistome and microbiome of commercial feedlot cattle early in the feeding period. Frontier in Microbiology, 2018, 9:1715. 14 p. 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| Biblioteca(s): INIA Treinta y Tres. |
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| 17. | | LAKIN, S.M.; DEAN, C.; NOYES, N.R.; DETTENWANGER, A.; ROSS, A. S.; DOSTER, E.; ROVIRA, P.J.; ABDO, Z.; JONES, K.L.; RUIZ, J.; BELK, K.E.; MORLEY, P.S.; BOUCHER, C. MEGARes: an antimicrobial resistance database for high throughput sequencing. Nucleic Acids Research, 2017 v.45 p.574-580. Article History: Published online 2016 Nov 24.
DOI: https://doi.org/10.1093/nar/gkw1009| Biblioteca(s): INIA Treinta y Tres. |
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| 18. | | NOYES, N.R.; PARKER, J.K.; DEAN, C.J.; RAYMOND, R.A.; WEINROTH, M.E.; ROVIRA, P.J.; DOSTER, E.; ABDO, Z.; MARTIN, J.; JONES, K.L.; RUIZ, J.; BOUCHER, C.A.; BELK, K.E.; MORLEY, P.S. Megarich, a pre-sequencing capture system for enriching and counting resistance genes within metagenomic samples. [Abstract]. In: PROCEEDINGS OF THE 96TH ANNUAL CONFERENCE OF RESEARCH WORKERS IN ANIMAL DEISEASES, CHICAGO, USA. 2016. Session Ecology and Management of Foodborne Agents. - 064.| Biblioteca(s): INIA Treinta y Tres. |
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| 19. | | WEINROTH, M.D.; LANKIN, S.M.; NOYES, N.R.; YANG, X.; ROVIRA, P.J.; DOSTER, E.; DEAN, C.; PARKER, J.K.; ANDERSON, C.; ABDO, Z.; BOUCHER, C.; RUIZ, J.; BELK, K.E.; MORLEY, P.S. Metagenomic investigations of antimicrobial resistance in beef, pork, and broiler production systems. [Abstract]. ln: Conference of Research Workers in Animal Disease. (3-5 Dec., 2017, Chicago, Illinois, USA) Presentation Abstracts. Chicago, Illinois (USA): CRWAD, 2017. p. 27.| Biblioteca(s): INIA Treinta y Tres. |
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| 20. | | NOYES, N.R.; WEINROTH, M.E.; PARKER, J.K.; DEAN, C.J.; LAKIN, S.M.; RAYMOND, R.A.; ROVIRA, P.J.; DOSTER, E.; ABDO, Z.; MARTIN, J.N.; JONES, K.L.; RUIZ, J.; BOUCHER, C.A.; BELK, K.E.; MORLEY, P.S. Enrichment allows identification of diverse, rate elements in metagenomic resistome-virulome sequencing. Microbiome, 2017, 5, p. 142 13 p. Article History: Received: 29 May 2017, Accepted: 5 October 2017, Published: 17 October 2017| Biblioteca(s): INIA Treinta y Tres. |
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| Registros recuperados : 20 | |
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Registro completo
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Biblioteca (s) : |
INIA Treinta y Tres. |
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Fecha actual : |
04/11/2019 |
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Actualizado : |
03/12/2019 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Circulación / Nivel : |
-- - -- |
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Autor : |
DOSTER, E.; ROVIRA, P.J.; NOYES, N.R.; BURGESS, B.A.; YANG, X.; WEINROTH, M.D.; LINKE, L.; MAGNUSON, R.; BOUCHER, C.; BELK, K.E.; MORLEY, P.S. |
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Afiliación : |
ENRIQUE DOSTER, Department in Microbiology, Immunology and Pathology, Colorado State University, USA.; PABLO JUAN ROVIRA SANZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; NOELLE R. NOYES, Department of Veterinary Population Medicine, University of Minnesota, USA.; BRANDY A. BURGESS, Department of Population Health, University of Georgia, USA.; XIANG YANG, Department of Animal Science, University of California, Davis, Davis, CA, USA.; MARGARET D. WEINROTH, Department of Animal Sciences, Colorado State University, USA.; LINDSEY LINKE, Department of Clinical Sciences, Colorado State University, USA.; ROBERTA MAGNUSON, Department of Clinical Sciences, Colorado State University, USA.; CHRISTINA BOUCHER, Department of Computer and Information Science and Engineering, University of Florida, Florida, USA.; KEITH E. BELK, Department of Animal Sciences, Colorado State University, Colorado, USA.; PAUL S. MORLEY, Veterinary Education, Research, and Outreach Center, West Texas A&M University, Texas, USA. |
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Título : |
A cautionary report for pathogen identification using shotgun metagenomics; a comparison to aerobic culture and polymerase chain reaction for Salmonella enterica identification. |
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Fecha de publicación : |
2019 |
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Fuente / Imprenta : |
Frontier in Microbiology, 2019, 10:2499. doi: 10.3389/fmicb.2019.02499 |
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Páginas : |
7 p. |
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DOI : |
10.3389/fmicb.2019.02499 |
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Idioma : |
Inglés |
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Notas : |
Article history: received: 8 July 2019 // Accepted 16 October 2019 // Published 01 November 2019.
Open Access Journal. www.frontiersin.org |
|
Contenido : |
This study was conducted to compare aerobic culture, polymerase chain reaction (PCR), lateral flow immunoassay (LFI), and shotgun metagenomics for identification
of Salmonella enterica in feces collected from feedlot cattle. Samples were analyzed in parallel using all four tests. Results from aerobic culture and PCR were 100%
concordant and indicated low S. enterica prevalence (3/60 samples positive). Although low S. enterica prevalence restricted formal statistical comparisons, LFI and deep metagenomic sequencing results were discordant with these results. Specifically, metagenomic analysis using k-mer-based classification against the RefSeq database indicated that 11/60 of samples contained sequence reads that matched to the S. enterica genome and uniquely identified this species of bacteria within the sample. However, further examination revealed that plasmid sequences were often included with bacterial genomic sequence data submitted to NCBI, which can lead to incorrect taxonomic classification. To circumvent this classification problem, we separated all plasmid sequences included in bacterial RefSeq genomes and reassigned them to a unique taxon so that they would not be uniquely associated with specific bacterial species such as S. enterica. Using this revised database and taxonomic structure, we found that only 6/60 samples contained sequences specific for S. enterica, suggesting increased relative specificity. Reads identified as S. enterica in these six samples were further evaluated using BLAST and NCBI?s nr/nt database, which identified that only 2/60 samples contained reads exclusive to S. enterica chromosomal genomes. These two samples were culture- and PCR-negative, suggesting that even deep metagenomic sequencing suffers from lower sensitivity and specificity in comparison to more traditional pathogen detection methods. Additionally, no sample reads were taxonomically classified as S. enterica with two other metagenomic tools, Metagenomic Intra-species Diversity Analysis System (MIDAS) and Metagenomic Phylogenetic Analysis 2 (MetaPhlAn2). This study re-affirmed that the traditional techniques of aerobic culture and PCR provide similar results for S. enterica identification in cattle feces. On the other hand, metagenomic results are highly influenced by the classification method and reference database employed. These results highlight the nuances of computational detection of species-level sequences within short-read metagenomic sequence data, and emphasize the need for cautious interpretation of such results. MenosThis study was conducted to compare aerobic culture, polymerase chain reaction (PCR), lateral flow immunoassay (LFI), and shotgun metagenomics for identification
of Salmonella enterica in feces collected from feedlot cattle. Samples were analyzed in parallel using all four tests. Results from aerobic culture and PCR were 100%
concordant and indicated low S. enterica prevalence (3/60 samples positive). Although low S. enterica prevalence restricted formal statistical comparisons, LFI and deep metagenomic sequencing results were discordant with these results. Specifically, metagenomic analysis using k-mer-based classification against the RefSeq database indicated that 11/60 of samples contained sequence reads that matched to the S. enterica genome and uniquely identified this species of bacteria within the sample. However, further examination revealed that plasmid sequences were often included with bacterial genomic sequence data submitted to NCBI, which can lead to incorrect taxonomic classification. To circumvent this classification problem, we separated all plasmid sequences included in bacterial RefSeq genomes and reassigned them to a unique taxon so that they would not be uniquely associated with specific bacterial species such as S. enterica. Using this revised database and taxonomic structure, we found that only 6/60 samples contained sequences specific for S. enterica, suggesting increased relative specificity. Reads identified as S. enterica in these six samples were ... Presentar Todo |
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Palabras claves : |
CULTURE; PATHOGEN IDENTIFICATION; PCR; SALMONELLA ENTERICA; SHOTGUN METAGENOMICS. |
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Thesagro : |
CATTLE; FEEDLOT; VACAS. |
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Asunto categoría : |
L73 Enfermedades de los animales |
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URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/13700/1/Rovira-arb-2019-Frontiers-Microbiology.pdf
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Marc : |
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024 7 $a10.3389/fmicb.2019.02499$2DOI
100 1 $aDOSTER, E.
245 $aA cautionary report for pathogen identification using shotgun metagenomics; a comparison to aerobic culture and polymerase chain reaction for Salmonella enterica identification.$h[electronic resource]
260 $c2019
300 $a7 p.
500 $aArticle history: received: 8 July 2019 // Accepted 16 October 2019 // Published 01 November 2019. Open Access Journal. www.frontiersin.org
520 $aThis study was conducted to compare aerobic culture, polymerase chain reaction (PCR), lateral flow immunoassay (LFI), and shotgun metagenomics for identification of Salmonella enterica in feces collected from feedlot cattle. Samples were analyzed in parallel using all four tests. Results from aerobic culture and PCR were 100% concordant and indicated low S. enterica prevalence (3/60 samples positive). Although low S. enterica prevalence restricted formal statistical comparisons, LFI and deep metagenomic sequencing results were discordant with these results. Specifically, metagenomic analysis using k-mer-based classification against the RefSeq database indicated that 11/60 of samples contained sequence reads that matched to the S. enterica genome and uniquely identified this species of bacteria within the sample. However, further examination revealed that plasmid sequences were often included with bacterial genomic sequence data submitted to NCBI, which can lead to incorrect taxonomic classification. To circumvent this classification problem, we separated all plasmid sequences included in bacterial RefSeq genomes and reassigned them to a unique taxon so that they would not be uniquely associated with specific bacterial species such as S. enterica. Using this revised database and taxonomic structure, we found that only 6/60 samples contained sequences specific for S. enterica, suggesting increased relative specificity. Reads identified as S. enterica in these six samples were further evaluated using BLAST and NCBI?s nr/nt database, which identified that only 2/60 samples contained reads exclusive to S. enterica chromosomal genomes. These two samples were culture- and PCR-negative, suggesting that even deep metagenomic sequencing suffers from lower sensitivity and specificity in comparison to more traditional pathogen detection methods. Additionally, no sample reads were taxonomically classified as S. enterica with two other metagenomic tools, Metagenomic Intra-species Diversity Analysis System (MIDAS) and Metagenomic Phylogenetic Analysis 2 (MetaPhlAn2). This study re-affirmed that the traditional techniques of aerobic culture and PCR provide similar results for S. enterica identification in cattle feces. On the other hand, metagenomic results are highly influenced by the classification method and reference database employed. These results highlight the nuances of computational detection of species-level sequences within short-read metagenomic sequence data, and emphasize the need for cautious interpretation of such results.
650 $aCATTLE
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653 $aPATHOGEN IDENTIFICATION
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700 1 $aROVIRA, P.J.
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700 1 $aBELK, K.E.
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773 $tFrontier in Microbiology, 2019, 10:2499. doi: 10.3389/fmicb.2019.02499
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