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Biblioteca (s) : |
INIA Las Brujas. |
Fecha : |
29/01/2020 |
Actualizado : |
29/01/2020 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
Autor : |
LLANES, A.; BONNECARRERE, V.; CAPDEVIELLE, F.; VIDAL, S.; LUNA, V. |
Afiliación : |
ANALIA LLANES, Laboratorio de Fisiología Vegetal, Departamento de Ciencias Naturales, Fac. de Cs. Exactas, Físico-Químicas y Naturales, Universidad Nacional de Río Cuarto, Río Cuarto, Argentina; MARIA VICTORIA BONNECARRERE MARTINEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; FABIAN MARCEL CAPDEVIELLE SOSA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; SABINA VIDAL, Laboratorio de Biología Molecular Vegetal, Fac. de Ciencias, Universidad de la República, Montevideo, Uruguay; VIRGINIA LUNA, Laboratorio de Fisiología Vegetal, Departamento de Ciencias Naturales, Fac. de Cs. Exactas, Físico-Químicas y Naturales, Universidad Nacional de Río Cuarto, Río Cuarto, Argentina. |
Título : |
Genetic diversity in a natural population of the halophytic legume Prosopis strombulifera revealed by AFLP fingerprinting. |
Fecha de publicación : |
2011 |
Fuente / Imprenta : |
Boletin de la Sociedad Argentina de Botanica, 2011, Volume 46, Issue 3-4, Pages 305-312. OPEN ACCESS. |
Descripción física : |
2-s2.0-84865611255 |
ISSN : |
0373-580X |
Idioma : |
Inglés |
Notas : |
Article history: Recibido el 10 de Febrero de 2011 / Aceptado el 11 de Agosto de 2011. |
Contenido : |
ABSTRACT.
Prosopis strombulifera (Lam.) Benth. is a spiny shrub with the maximum tolerance limits reported for halophytic plants. This species is frequently found in the salinized areas in south-western of Córdoba and San Luis provinces, Argentina. Little is known about the genetic diversity within this species in a native population. Genetic diversity in 60 plants of P. strombulifera in south-western San Luis was investigated using AFLP analysis. Polymorphism was found among the samples tested. Four combinations of primers led to the identification of an average of 250 polymorphic bands and the data were used for cluster analysis. P. strombulifera genotypes are clearly separated in subclusters and reflect the diversity within the collection area. This study is a contribution to describe the intra-specific diversity in a natural population of P. strombulifera, and the polymorphism obtained is comparable with other populations of Prosopis species. Results demonstrate the importance of identifying different intra-population genotypes as components of a gene bank of P. strombulifera.
RESUMEN.
Diversidad genética en una población natural de la leguminosa halófita Prosopis strombulifera revelado por el análisis de AFLP. Prosopis strombulifera (Lam.) Benth. es un subarbusto espinoso con limites máximos de tolerancia informado para especies halófitas. P. strombulifera se encuentra en los suelos salinizados del Sur-Oeste de las provincias de Córdoba y San Luis, Argentina. El conocimiento sobre la diversidad genética en poblaciones nativas de esta especie es escaso. En este trabajo se
investigó la diversidad genética en 60 plantas de P. strombulifera mediante el análisis por AFLP. Se observó polimorfismo entre las muestras analizadas, cuatro combinaciones de cebadores identificaron un promedio de 250 bandas polimorficas, las que fueron utilizadas para análisis de agrupamientos. Los genotipos de P. strombulifera fueron separados en subgrupos reflejando la diversidad dentro del área de muestreo. Este estudio contribuye a describir la diversidad intra-específica en una población natural de P. strombulifera, y el polimorfismo obtenido es comparable al observado en otras poblaciones en especies de Prosopis. Estos resultados demuestran la importancia de identificar diferentes genotipos dentro de la población como componentes de un banco de genes de P. strombulifera. MenosABSTRACT.
Prosopis strombulifera (Lam.) Benth. is a spiny shrub with the maximum tolerance limits reported for halophytic plants. This species is frequently found in the salinized areas in south-western of Córdoba and San Luis provinces, Argentina. Little is known about the genetic diversity within this species in a native population. Genetic diversity in 60 plants of P. strombulifera in south-western San Luis was investigated using AFLP analysis. Polymorphism was found among the samples tested. Four combinations of primers led to the identification of an average of 250 polymorphic bands and the data were used for cluster analysis. P. strombulifera genotypes are clearly separated in subclusters and reflect the diversity within the collection area. This study is a contribution to describe the intra-specific diversity in a natural population of P. strombulifera, and the polymorphism obtained is comparable with other populations of Prosopis species. Results demonstrate the importance of identifying different intra-population genotypes as components of a gene bank of P. strombulifera.
RESUMEN.
Diversidad genética en una población natural de la leguminosa halófita Prosopis strombulifera revelado por el análisis de AFLP. Prosopis strombulifera (Lam.) Benth. es un subarbusto espinoso con limites máximos de tolerancia informado para especies halófitas. P. strombulifera se encuentra en los suelos salinizados del Sur-Oeste de las provincias de Córdoba y San Luis, Argentina. El conoc... Presentar Todo |
Palabras claves : |
AFLP; Genetic diversity; Polymorphism; Prosopis strombulifera. |
Thesagro : |
DIVERSIDAD GENETICA; POLIMORFISMO. |
Asunto categoría : |
F30 Genética vegetal y fitomejoramiento |
URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/14099/1/10-llanes.pdf
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Marc : |
LEADER 03348naa a2200277 a 4500 001 1060717 005 2020-01-29 008 2011 bl uuuu u00u1 u #d 022 $a0373-580X 100 1 $aLLANES, A. 245 $aGenetic diversity in a natural population of the halophytic legume Prosopis strombulifera revealed by AFLP fingerprinting.$h[electronic resource] 260 $c2011 300 $c2-s2.0-84865611255 500 $aArticle history: Recibido el 10 de Febrero de 2011 / Aceptado el 11 de Agosto de 2011. 520 $aABSTRACT. Prosopis strombulifera (Lam.) Benth. is a spiny shrub with the maximum tolerance limits reported for halophytic plants. This species is frequently found in the salinized areas in south-western of Córdoba and San Luis provinces, Argentina. Little is known about the genetic diversity within this species in a native population. Genetic diversity in 60 plants of P. strombulifera in south-western San Luis was investigated using AFLP analysis. Polymorphism was found among the samples tested. Four combinations of primers led to the identification of an average of 250 polymorphic bands and the data were used for cluster analysis. P. strombulifera genotypes are clearly separated in subclusters and reflect the diversity within the collection area. This study is a contribution to describe the intra-specific diversity in a natural population of P. strombulifera, and the polymorphism obtained is comparable with other populations of Prosopis species. Results demonstrate the importance of identifying different intra-population genotypes as components of a gene bank of P. strombulifera. RESUMEN. Diversidad genética en una población natural de la leguminosa halófita Prosopis strombulifera revelado por el análisis de AFLP. Prosopis strombulifera (Lam.) Benth. es un subarbusto espinoso con limites máximos de tolerancia informado para especies halófitas. P. strombulifera se encuentra en los suelos salinizados del Sur-Oeste de las provincias de Córdoba y San Luis, Argentina. El conocimiento sobre la diversidad genética en poblaciones nativas de esta especie es escaso. En este trabajo se investigó la diversidad genética en 60 plantas de P. strombulifera mediante el análisis por AFLP. Se observó polimorfismo entre las muestras analizadas, cuatro combinaciones de cebadores identificaron un promedio de 250 bandas polimorficas, las que fueron utilizadas para análisis de agrupamientos. Los genotipos de P. strombulifera fueron separados en subgrupos reflejando la diversidad dentro del área de muestreo. Este estudio contribuye a describir la diversidad intra-específica en una población natural de P. strombulifera, y el polimorfismo obtenido es comparable al observado en otras poblaciones en especies de Prosopis. Estos resultados demuestran la importancia de identificar diferentes genotipos dentro de la población como componentes de un banco de genes de P. strombulifera. 650 $aDIVERSIDAD GENETICA 650 $aPOLIMORFISMO 653 $aAFLP 653 $aGenetic diversity 653 $aPolymorphism 653 $aProsopis strombulifera 700 1 $aBONNECARRERE, V. 700 1 $aCAPDEVIELLE, F. 700 1 $aVIDAL, S. 700 1 $aLUNA, V. 773 $tBoletin de la Sociedad Argentina de Botanica, 2011, Volume 46, Issue 3-4, Pages 305-312. OPEN ACCESS.
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INIA Las Brujas (LB) |
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Registro completo
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Biblioteca (s) : |
INIA Treinta y Tres. |
Fecha actual : |
21/02/2014 |
Actualizado : |
13/09/2018 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
Circulación / Nivel : |
Internacional - A |
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. |
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. |
Título : |
Enrichment allows identification of diverse, rate elements in metagenomic resistome-virulome sequencing. |
Fecha de publicación : |
2017 |
Fuente / Imprenta : |
Microbiome, 2017, 5, p. 142 |
Páginas : |
13 p. |
DOI : |
10.1186/s40168-017-0361-8 |
Idioma : |
Inglés |
Notas : |
Article History: Received: 29 May 2017, Accepted: 5 October 2017, Published: 17 October 2017 |
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 |
Palabras claves : |
ANTIMICROBIAL RESISTANCE; METAGENÓMICA; MICROBIAL ECOLOGY; MOLECULAR ENRICHMENT; RARE MICROBIOME; RESISTOME. |
Thesagro : |
ANALISIS BIOLOGICO; ECOLOGIA MICROBIANA; RESISTENCIA A AGENTES DANINOS. |
Asunto categoría : |
U30 Métodos de investigación |
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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