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Biblioteca (s) : |
INIA Las Brujas. |
Fecha : |
21/02/2014 |
Actualizado : |
22/02/2014 |
Autor : |
Snowdon, A.L. |
Título : |
A color atlas of post-harvest diseases and disorders of fruits and vegetables |
Fecha de publicación : |
1990 |
Fuente / Imprenta : |
London (Inglaterra): CRC, 1990. |
Páginas : |
2v. : il |
ISBN : |
"ISBN 0-8493-7101-5 (v.1); ISBN 0-8493-7734-X (v.2)" |
Idioma : |
Español |
Notas : |
"Contenido : v1 General introduction and fruits; v2 Vegetables" |
Thesagro : |
ACHICORIA; AGUACATE; AJO; ALBARICOQUE; ALCACHOFA; ALMACENAMIENTO; APIO; ARANDANO; ARANDANO AMERICANO; BACTERIOSIS; BANANO; BATATA; BAYAS; BERENJENA; BROCOLI; CALABACIN; CALABAZA (CUCURBITA); CAPSICUM ANNUUM; CAQUI; CARICA PAPAYA; CEBOLLA; CEREZA; CHALOTE; CIRUELA; COL DE BRUSELAS; COLIFLOR; CONTROL DE PLAGAS (POSTCOSECHA); DAÑOS POR LA HELADA; DURAZNO; ENDIBIA; ENFERMEDADES DE LAS PLANTAS; ENFERMEDADES FUNGOSAS; ESPARRAGOS; ESPINACA; FISIOLOGIA POSTCOSECHA; FRAMBUESA; FRESA; FRUTAS CITRICAS; FRUTAS CUCURBITACEAS; FRUTAS DE CLIMA TEMPLADO; FRUTAS DE HUESO; FRUTAS DE PEPITA; FRUTAS TROPICALES; GRANADA (FRUTA); GROSELLA; GROSELLA BLANCA; GUAYABA; GUISANTE; HABA; HINOJO; HORTALIZAS CUCURBITACEAS; HORTALIZAS DE BULBO; HORTALIZAS DE FRUTO; HORTALIZAS DE HOJA; HORTALIZAS DE RAIZ; KIWI (FRUTA); LECHUGAS; LEGUMINOSAS DE GRANO; LIMA; LIMON ACIDO; LITCHI CHINENSIS; MAIZ DULCE; MANDARINA; MANDIOCA; MANGO; MANZANA; MELON; NABO; NARANJA DULCE; NECTARINA; OCRA; PAPA; PASSIFLORA; PEPINO; PERA; PERDIDAS POSTCOSECHA; PEREJIL; PIÑA; RABANO; REMOLACHA; REPOLLO; SANDIA; TECNOLOGIA POSTCOSECHA; TOMATE; TORONJA; TRANSPORTE; UVA; VIROSIS; ZANAHORIA. |
Asunto categoría : |
-- |
Marc : |
LEADER 02879nam a2201189 a 4500 001 1000542 005 2014-02-22 008 1990 bl uuuu u00u1 u #d 100 1 $aSNOWDON, A.L. 245 $aA color atlas of post-harvest diseases and disorders of fruits and vegetables 260 $aLondon (Inglaterra): CRC$c1990 300 $a2v. : il 500 $a"Contenido : v1 General introduction and fruits; v2 Vegetables" 650 $aACHICORIA 650 $aAGUACATE 650 $aAJO 650 $aALBARICOQUE 650 $aALCACHOFA 650 $aALMACENAMIENTO 650 $aAPIO 650 $aARANDANO 650 $aARANDANO AMERICANO 650 $aBACTERIOSIS 650 $aBANANO 650 $aBATATA 650 $aBAYAS 650 $aBERENJENA 650 $aBROCOLI 650 $aCALABACIN 650 $aCALABAZA (CUCURBITA) 650 $aCAPSICUM ANNUUM 650 $aCAQUI 650 $aCARICA PAPAYA 650 $aCEBOLLA 650 $aCEREZA 650 $aCHALOTE 650 $aCIRUELA 650 $aCOL DE BRUSELAS 650 $aCOLIFLOR 650 $aCONTROL DE PLAGAS (POSTCOSECHA) 650 $aDAÑOS POR LA HELADA 650 $aDURAZNO 650 $aENDIBIA 650 $aENFERMEDADES DE LAS PLANTAS 650 $aENFERMEDADES FUNGOSAS 650 $aESPARRAGOS 650 $aESPINACA 650 $aFISIOLOGIA POSTCOSECHA 650 $aFRAMBUESA 650 $aFRESA 650 $aFRUTAS CITRICAS 650 $aFRUTAS CUCURBITACEAS 650 $aFRUTAS DE CLIMA TEMPLADO 650 $aFRUTAS DE HUESO 650 $aFRUTAS DE PEPITA 650 $aFRUTAS TROPICALES 650 $aGRANADA (FRUTA) 650 $aGROSELLA 650 $aGROSELLA BLANCA 650 $aGUAYABA 650 $aGUISANTE 650 $aHABA 650 $aHINOJO 650 $aHORTALIZAS CUCURBITACEAS 650 $aHORTALIZAS DE BULBO 650 $aHORTALIZAS DE FRUTO 650 $aHORTALIZAS DE HOJA 650 $aHORTALIZAS DE RAIZ 650 $aKIWI (FRUTA) 650 $aLECHUGAS 650 $aLEGUMINOSAS DE GRANO 650 $aLIMA 650 $aLIMON ACIDO 650 $aLITCHI CHINENSIS 650 $aMAIZ DULCE 650 $aMANDARINA 650 $aMANDIOCA 650 $aMANGO 650 $aMANZANA 650 $aMELON 650 $aNABO 650 $aNARANJA DULCE 650 $aNECTARINA 650 $aOCRA 650 $aPAPA 650 $aPASSIFLORA 650 $aPEPINO 650 $aPERA 650 $aPERDIDAS POSTCOSECHA 650 $aPEREJIL 650 $aPIÑA 650 $aRABANO 650 $aREMOLACHA 650 $aREPOLLO 650 $aSANDIA 650 $aTECNOLOGIA POSTCOSECHA 650 $aTOMATE 650 $aTORONJA 650 $aTRANSPORTE 650 $aUVA 650 $aVIROSIS 650 $aZANAHORIA
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INIA Las Brujas (LB) |
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Biblioteca (s) : |
INIA Treinta y Tres. |
Fecha actual : |
04/11/2019 |
Actualizado : |
03/12/2019 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
Circulación / Nivel : |
-- - -- |
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. |
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. |
Título : |
A cautionary report for pathogen identification using shotgun metagenomics; a comparison to aerobic culture and polymerase chain reaction for Salmonella enterica identification. |
Fecha de publicación : |
2019 |
Fuente / Imprenta : |
Frontier in Microbiology, 2019, 10:2499. doi: 10.3389/fmicb.2019.02499 |
Páginas : |
7 p. |
DOI : |
10.3389/fmicb.2019.02499 |
Idioma : |
Inglés |
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 |
Palabras claves : |
CULTURE; PATHOGEN IDENTIFICATION; PCR; SALMONELLA ENTERICA; SHOTGUN METAGENOMICS. |
Thesagro : |
CATTLE; FEEDLOT; VACAS. |
Asunto categoría : |
L73 Enfermedades de los animales |
URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/13700/1/Rovira-arb-2019-Frontiers-Microbiology.pdf
|
Marc : |
LEADER 03789naa a2200373 a 4500 001 1060378 005 2019-12-03 008 2019 bl uuuu u00u1 u #d 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 650 $aFEEDLOT 650 $aVACAS 653 $aCULTURE 653 $aPATHOGEN IDENTIFICATION 653 $aPCR 653 $aSALMONELLA ENTERICA 653 $aSHOTGUN METAGENOMICS 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 $aLINKE, L. 700 1 $aMAGNUSON, R. 700 1 $aBOUCHER, C. 700 1 $aBELK, K.E. 700 1 $aMORLEY, P.S. 773 $tFrontier in Microbiology, 2019, 10:2499. doi: 10.3389/fmicb.2019.02499
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