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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 : |
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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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 : |
LEADER 03225naa a2200433 a 4500
001 1032862
005 2018-09-13
008 2017 bl uuuu u00u1 u #d
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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Registro original : |
INIA Treinta y Tres (TT) |
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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha actual : |
17/08/2016 |
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Actualizado : |
28/05/2018 |
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Tipo de producción científica : |
Poster |
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Autor : |
ALBICETTE, M.M.; LEONI, C.; RUGGIA, A.; ALBIN, A.; BENVENUTO, M.; BORTAGARAY, I.; BLUMETTO, O.; CANTIERI, R.; CARDOZO, G.; CASTAGNA, A.; CLARA, P.; DEL PINO, M.; DOGLIOTTI, S.; GARCIA, F.; GILSANZ, J.C.; MONTALDO, S.; QUINTANS, G.; SCARLATO, M.; SCARLATO, S.; SILVERA, M.; TISCORNIA, G.; AGUERRE, V. |
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Afiliación : |
MARIA MARTA ALBICETTE BASTRERI, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; CAROLINA LEONI VELAZCO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; ANDREA PAOLA RUGGIA CHIESA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; ALFREDO SANTIAGO ALBIN FERREIRA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; MAURICIO FABIAN BENVENUTO MILLOR, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; ISABEL BORTAGARAY, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; OSCAR RICARDO BLUMETTO VELAZCO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; Universidad de la República (UdelaR)/ Facultad de Agronomía, Departamento de Producción Vegetal; GERONIMO AGUSTIN CARDOZO CABANELAS, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; ANDRES CASTAGNA DU PRE, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; PABLO DANIEL CLARA PEREZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; MARIA LILIANA DEL PINO BALADON, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; SANTIAGO DOGLIOTTI, Universidad de la República (UdelaR)/ Facultad de Agronomía, Departamento de Producción Vegetal; FELIPE LUIS GARCIA OLASO; JUAN CARLOS GILSANZ MARTINEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; SERGIO DANIEL MONTALDO BERRIEL, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; GRACIELA QUINTANS ILARIA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; MARIANA SCARLATO GARCIA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; SANTIAGO SCARLATO GARCIA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; MARIANA SILVERA ORREGO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; GUADALUPE TISCORNIA TOSAR, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; MARIA VERONICA AGUERRE ANTIA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
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Título : |
Co-innovación en sistemas ganaderos familiares del este de Uruguay. [Poster] |
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Fecha de publicación : |
2016 |
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Fuente / Imprenta : |
En: Congreso Nacional de Ingenieros Agrónomos , 11° y Encuentro Regional de Ingeniería Agronómica, 4°; Montevideo (UY), 11-12 Agosto 2016. [Poster] + [Resumen] |
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Páginas : |
1 p. |
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Idioma : |
Español |
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Notas : |
Agradecimientos: "Los autores agradecemos a los productores y sus familias con los que hemos trabajo y compartido experiencias, así como a los actores locales que se involucraron en la Red Interinstitucional y su accionar" |
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Palabras claves : |
CO-INNOVACIÓN; ENFOQUE SISTÉMICO; M&E; MESMIS; PAR; PIPA. |
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Thesagro : |
METODOLOGÍA; SISTEMAS GANADEROS; SUSTENTABILIDAD. |
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Asunto categoría : |
-- |
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URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/5915/1/Albicette-M.-Poster-AIA-2016-Co-innovacion-Final.pdf
http://www.ainfo.inia.uy/digital/bitstream/item/5916/1/ALBICETTE-M-M-final-resumen.docx
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Marc : |
LEADER 01564nam a2200481 a 4500
001 1055294
005 2018-05-28
008 2016 bl uuuu u00u1 u #d
100 1 $aALBICETTE, M.M.
245 $aCo-innovación en sistemas ganaderos familiares del este de Uruguay. [Poster]$h[electronic resource]
260 $aEn: Congreso Nacional de Ingenieros Agrónomos , 11° y Encuentro Regional de Ingeniería Agronómica, 4°; Montevideo (UY), 11-12 Agosto 2016. [Poster] + [Resumen]$c2016
300 $a1 p.
500 $aAgradecimientos: "Los autores agradecemos a los productores y sus familias con los que hemos trabajo y compartido experiencias, así como a los actores locales que se involucraron en la Red Interinstitucional y su accionar"
650 $aMETODOLOGÍA
650 $aSISTEMAS GANADEROS
650 $aSUSTENTABILIDAD
653 $aCO-INNOVACIÓN
653 $aENFOQUE SISTÉMICO
653 $aM&E
653 $aMESMIS
653 $aPAR
653 $aPIPA
700 1 $aLEONI, C.
700 1 $aRUGGIA, A.
700 1 $aALBIN, A.
700 1 $aBENVENUTO, M.
700 1 $aBORTAGARAY, I.
700 1 $aBLUMETTO, O.
700 1 $aCANTIERI, R.
700 1 $aCARDOZO, G.
700 1 $aCASTAGNA, A.
700 1 $aCLARA, P.
700 1 $aDEL PINO, M.
700 1 $aDOGLIOTTI, S.
700 1 $aGARCIA, F.
700 1 $aGILSANZ, J.C.
700 1 $aMONTALDO, S.
700 1 $aQUINTANS, G.
700 1 $aSCARLATO, M.
700 1 $aSCARLATO, S.
700 1 $aSILVERA, M.
700 1 $aTISCORNIA, G.
700 1 $aAGUERRE, V.
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