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| Registros recuperados : 13 | |
| 6. |  | 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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| 8. | | 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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| 9. | | 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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| 10. | | 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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| 11. | | 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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| 12. | | AMORIM, S.T.; KLUSKA, S.; PIATTO BERTON, M.; ANTUNES DE LEMOS, M.V.; PERIPOLLI, E.; BONVINO STAFUZZA, N.; FERNÁNDEZ MARTÍN, J.; SAURA ÁLVAREZ, M.; VILLANUEVA GAVIÑA, B.; TORO, M.A.; BANCHERO, G.; SILVA OLIVEIRA, P.; GRIGOLETTO, L.; PEREIRA ELER, J.; BALDI, F.; STERMAN FERRAZ, J.B. Genomic study for maternal related traits in Santa Inês sheep breed. Livestock Science, November 2018, Volume 217, Pages 76-84. Doi: https://doi.org/10.1016/j.livsci.2018.09.011 Article history: Received 23 January 2018 // Revised 6 September 2018 // Accepted 11 September 2018 // Available online 20 September 2018.| Biblioteca(s): INIA Las Brujas. |
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| 13. | | GAURAV, K.; ARORA, S.; SILVA, P.; SÁNCHEZ-MARTÍN, J.; HORSNELL,R.; GAO, L.; BRAR ,G.S.; WIDRIG,V.; JOHN RAUPP,W.; SINGH, N.; WU, S.; KALE, S.M.; CHINOY, C.; NICHOLSON, P.; QUIROZ-CHÁVEZ, J.; SIMMONDS, J.; HAYTA, S.; SMEDLEY, M. A; HARWOOD, W.; PEARCE, S.; GILBERT, D.; KANGARA, N.; GARDENER, C.; FORNER-MARTÍNEZ, M.; LIU, J.; YU, G.; BODEN, S.A.; PASCUCCI, A.; GHOSH, S.; HAFEEZ, A.N.; O'HARA, T.; WAITES, J.; CHEEMA, J.; STEUERNAGEL, B.; PATPOUR, M.; JUSTESEN, A.F.; LIU, S.; RUDD, J. C.; AVNI, R.; SHARON, A.R; STEINER, B.; KIRANA, R.P.; BUERSTMAYR, H.; MEHRABI, A.A.; NASYROVA, F.Y.; CHAYUT, N.; MATNY, O.; STEFFENSON, B. J.; SANDHU, N.; CHHUNEJA, P.; LAGUDAH, E.; ELKOT, A.F.; TYRRELL, S.; BIAN, X.; DAVEY, R.P.; SIMONSEN, M.; SCHAUSER, L.; TIWARI, V.K.; RANDY KUTCHER, H.; HUCL, P.; LI, A.; LIU, D.C.; MAO, L.; XU, S.; BROWN-GUEDIRA, G.; FARIS, J.; DVORAK, J.; LUO, M.CH.; KRASILEVA, K.; LUX, T.; ARTMEIER, S.; MAYER, K. F. X.; UAUY, C.; MASCHER, M.; BENTLEY, A.R.; KELLER, B.; POLAND, J.; WULFF, B. B. H. Population genomic analysis of Aegilops tauschii identifies targets for bread wheat improvement. Nature Biotechnology, Volume 40, Pages 422-431, March 2022. Open Access. doi: https://doi.org/10.1038/s41587-021-01058-4| Biblioteca(s): INIA La Estanzuela. |
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| Registros recuperados : 13 | |
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 | Acceso al texto completo restringido a Biblioteca INIA Treinta y Tres. Por información adicional contacte bibliott@inia.org.uy. |
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Registro completo
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Biblioteca (s) : |
INIA Treinta y Tres. |
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Fecha actual : |
21/02/2014 |
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Actualizado : |
13/09/2018 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Circulación / Nivel : |
Internacional - A |
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Autor : |
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. |
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Afiliación : |
NOELLE R. NOYES; MAGGIE E. WEINROTH; JENNIFER K. PARKER; CHRIS J. DEAN; STEVEN M. LAKIN; ROBERT A. RAYMOND; PABLO JUAN ROVIRA SANZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; ENRIQUE DOSTER; ZAID ABDO; JENNIFER N. MARTIN; KENNETH L. JONES; JAIME RUIZ; CHRISTINA A. BOUCHER; KEITH E. BELK; PAUL S. MORLEY. |
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Título : |
Enrichment allows identification of diverse, rate elements in metagenomic resistome-virulome sequencing. |
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Fecha de publicación : |
2017 |
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Fuente / Imprenta : |
Microbiome, 2017, 5, p. 142 |
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Páginas : |
13 p. |
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DOI : |
10.1186/s40168-017-0361-8 |
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Idioma : |
Inglés |
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Notas : |
Article History: Received: 29 May 2017, Accepted: 5 October 2017, Published: 17 October 2017 |
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Contenido : |
Background: Shotgun metagenomic sequencing is increasingly utilized as a tool to evaluate ecological-level dynamics of antimicrobial resistance and virulence, in conjunction with microbiome analysis. Interest in use of this method for environmental surveillance of antimicrobial resistance and pathogenic microorganisms is also increasing. In published metagenomic datasets, the total of all resistance- and virulence-related sequences accounts for < 1% of all sequenced DNA, leading to imitations in detection of low-abundance resistome-virulome elements. This study describes the extent and composition of the low-abundance portion of the resistome-virulome, using a bait-capture and enrichment system that incorporates unique molecular indices to count DNA molecules and correct for enrichment bias.
Results: The use of the bait-capture and enrichment system significantly increased on-target sequencing of the resistome-virulome, enabling detection of an additional 1441 gene accessions and revealing a low-abundance portion of the resistome-virulome that was more diverse and compositionally different than that detected by more traditional
metagenomic assays. The low-abundance portion of the resistome-virulome also contained resistance genes with public health importance, such as extended-spectrum betalactamases, that were not detected using traditional shotgun metagenomic sequencing. In addition, the use of the bait-capture and enrichment system enabled identification of rare resistance gene haplotypes that were used to discriminate between sample origins.
Conclusions: These results demonstrate that the rare resistome-virulome contains valuable and unique information that can be utilized for both surveillance and population genetic investigations of resistance. Access to the rare resistomevirulome using the bait-capture and enrichment system validated in this study can greatly advance our understanding of
microbiome-resistome dynamics. MenosBackground: Shotgun metagenomic sequencing is increasingly utilized as a tool to evaluate ecological-level dynamics of antimicrobial resistance and virulence, in conjunction with microbiome analysis. Interest in use of this method for environmental surveillance of antimicrobial resistance and pathogenic microorganisms is also increasing. In published metagenomic datasets, the total of all resistance- and virulence-related sequences accounts for < 1% of all sequenced DNA, leading to imitations in detection of low-abundance resistome-virulome elements. This study describes the extent and composition of the low-abundance portion of the resistome-virulome, using a bait-capture and enrichment system that incorporates unique molecular indices to count DNA molecules and correct for enrichment bias.
Results: The use of the bait-capture and enrichment system significantly increased on-target sequencing of the resistome-virulome, enabling detection of an additional 1441 gene accessions and revealing a low-abundance portion of the resistome-virulome that was more diverse and compositionally different than that detected by more traditional
metagenomic assays. The low-abundance portion of the resistome-virulome also contained resistance genes with public health importance, such as extended-spectrum betalactamases, that were not detected using traditional shotgun metagenomic sequencing. In addition, the use of the bait-capture and enrichment system enabled identification of rare resistan... Presentar Todo |
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Palabras claves : |
ANTIMICROBIAL RESISTANCE; METAGENÓMICA; MICROBIAL ECOLOGY; MOLECULAR ENRICHMENT; RARE MICROBIOME; RESISTOME. |
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Thesagro : |
ANALISIS BIOLOGICO; ECOLOGIA MICROBIANA; RESISTENCIA A AGENTES DANINOS. |
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Asunto categoría : |
U30 Métodos de investigación |
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Marc : |
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001 1032862
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024 7 $a10.1186/s40168-017-0361-8$2DOI
100 1 $aNOYES, N.R.
245 $aEnrichment allows identification of diverse, rate elements in metagenomic resistome-virulome sequencing.$h[electronic resource]
260 $c2017
300 $a13 p.
500 $aArticle History: Received: 29 May 2017, Accepted: 5 October 2017, Published: 17 October 2017
520 $aBackground: Shotgun metagenomic sequencing is increasingly utilized as a tool to evaluate ecological-level dynamics of antimicrobial resistance and virulence, in conjunction with microbiome analysis. Interest in use of this method for environmental surveillance of antimicrobial resistance and pathogenic microorganisms is also increasing. In published metagenomic datasets, the total of all resistance- and virulence-related sequences accounts for < 1% of all sequenced DNA, leading to imitations in detection of low-abundance resistome-virulome elements. This study describes the extent and composition of the low-abundance portion of the resistome-virulome, using a bait-capture and enrichment system that incorporates unique molecular indices to count DNA molecules and correct for enrichment bias. Results: The use of the bait-capture and enrichment system significantly increased on-target sequencing of the resistome-virulome, enabling detection of an additional 1441 gene accessions and revealing a low-abundance portion of the resistome-virulome that was more diverse and compositionally different than that detected by more traditional metagenomic assays. The low-abundance portion of the resistome-virulome also contained resistance genes with public health importance, such as extended-spectrum betalactamases, that were not detected using traditional shotgun metagenomic sequencing. In addition, the use of the bait-capture and enrichment system enabled identification of rare resistance gene haplotypes that were used to discriminate between sample origins. Conclusions: These results demonstrate that the rare resistome-virulome contains valuable and unique information that can be utilized for both surveillance and population genetic investigations of resistance. Access to the rare resistomevirulome using the bait-capture and enrichment system validated in this study can greatly advance our understanding of microbiome-resistome dynamics.
650 $aANALISIS BIOLOGICO
650 $aECOLOGIA MICROBIANA
650 $aRESISTENCIA A AGENTES DANINOS
653 $aANTIMICROBIAL RESISTANCE
653 $aMETAGENÓMICA
653 $aMICROBIAL ECOLOGY
653 $aMOLECULAR ENRICHMENT
653 $aRARE MICROBIOME
653 $aRESISTOME
700 1 $aWEINROTH, M.E.
700 1 $aPARKER, J.K.
700 1 $aDEAN, C.J.
700 1 $aLAKIN, S.M.
700 1 $aRAYMOND, R.A.
700 1 $aROVIRA, P.J.
700 1 $aDOSTER, E.
700 1 $aABDO, Z.
700 1 $aMARTIN, J.N.
700 1 $aJONES, K.L.
700 1 $aRUIZ, J.
700 1 $aBOUCHER, C.A.
700 1 $aBELK, K.E.
700 1 $aMORLEY, P.S.
773 $tMicrobiome, 2017, 5, p. 142
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