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Article: Metagenomic Sequencing for Identification of Xylella fastidiosa from Leaf Samples.

Román-Reyna, Verónica / Dupas, Enora / Cesbron, Sophie / Marchi, Guido / Campigli, Sara / Hansen, Mary Ann / Bush, Elizabeth / Prarat, Melanie / Shiplett, Katherine / Ivey, Melanie L Lewis / Pierzynski, Joy / Miller, Sally A / Peduto Hand, Francesca / Jacques, Marie-Agnes / Jacobs, Jonathan M

mSystems

2021 Volume 6, Issue 5, Page(s) e0059121

Abstract: Xylella fastidiosa ( ...

Abstract	Xylella fastidiosa (
Language	English
Publishing date	2021-10-26
Publishing country	United States
Document type	Journal Article
ISSN	2379-5077
ISSN	2379-5077
DOI	10.1128/mSystems.00591-21
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Multi-laboratory evaluation of the Illumina iSeq platform for whole genome sequencing of

Mitchell, Patrick K / Wang, Leyi / Stanhope, Bryce J / Cronk, Brittany D / Anderson, Renee / Mohan, Shipra / Zhou, Lijuan / Sanchez, Susan / Bartlett, Paula / Maddox, Carol / DeShambo, Vanessa / Mani, Rinosh / Hengesbach, Lindsy M / Gresch, Sarah / Wright, Katie / Mor, Sunil / Zhang, Shuping / Shen, Zhenyu / Yan, Lifang /

Microbial genomics

2022 Volume 8, Issue 2

Abstract: There is a growing need for public health and veterinary laboratories to perform whole genome sequencing (WGS) for monitoring antimicrobial resistance (AMR) and protecting the safety of people and animals. With the availability of smaller and more ... ...

Abstract	There is a growing need for public health and veterinary laboratories to perform whole genome sequencing (WGS) for monitoring antimicrobial resistance (AMR) and protecting the safety of people and animals. With the availability of smaller and more affordable sequencing platforms coupled with well-defined bioinformatic protocols, the technological capability to incorporate this technique for real-time surveillance and genomic epidemiology has greatly expanded. There is a need, however, to ensure that data are of high quality. The goal of this study was to assess the utility of a small benchtop sequencing platform using a multi-laboratory verification approach. Thirteen laboratories were provided the same equipment, reagents, protocols and bacterial reference strains. The Illumina DNA Prep and Nextera XT library preparation kits were compared, and 2×150 bp iSeq i100 chemistry was used for sequencing. Analyses comparing the sequences produced from this study with closed genomes from the provided strains were performed using open-source programs. A detailed, step-by-step protocol is publicly available via protocols.io (https://www.protocols.io/view/iseq-bacterial-wgs-protocol-bij8kcrw). The throughput for this method is approximately 4-6 bacterial isolates per sequencing run (20-26 Mb total load). The Illumina DNA Prep library preparation kit produced high-quality assemblies and nearly complete AMR gene annotations. The Prep method produced more consistent coverage compared to XT, and when coverage benchmarks were met, nearly all AMR, virulence and subtyping gene targets were correctly identified. Because it reduces the technical and financial barriers to generating WGS data, the iSeq platform is a viable option for small laboratories interested in genomic surveillance of microbial pathogens.
MeSH term(s)	Animals ; Bacteria/genetics ; DNA, Bacterial/genetics ; Escherichia coli/genetics ; Escherichia coli Infections/microbiology ; Foodborne Diseases/microbiology ; Gene Library ; Genome, Bacterial ; Genomics ; High-Throughput Nucleotide Sequencing/methods ; Laboratories ; Listeria/genetics ; Salmonella/genetics ; Salmonella Infections/microbiology ; Virulence/genetics ; Whole Genome Sequencing/methods
Chemical Substances	DNA, Bacterial
Language	English
Publishing date	2022-02-03
Publishing country	England
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	2835258-0
ISSN	2057-5858 ; 2057-5858
ISSN (online)	2057-5858
ISSN	2057-5858
DOI	10.1099/mgen.0.000717
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article: Genomics accurately predicts antimicrobial resistance in Staphylococcus pseudintermedius collected as part of Vet-LIRN resistance monitoring

Tyson, Gregory H / Ceric, Olgica / Guag, Jake / Nemser, Sarah / Borenstein, Stacey / Slavic, Durda / Lippert, Sarah / McDowell, Rebecca / Krishnamurthy, Aparna / Korosec, Shannon / Friday, Cheryl / Pople, Neil / Saab, Matthew E / Fairbrother, Julie-Hélène / Janelle, Isabelle / McMillan, Deanna / Bommineni, Yugendar R / Simon, David / Mohan, Shipra /

Sanchez, Susan / Phillips, Ashley / Bartlett, Paula / Naikare, Hemant / Watson, Cynthia / Sahin, Orhan / Stinman, Chloe / Wang, Leyi / Maddox, Carol / DeShambo, Vanessa / Hendrix, Kenitra / Lubelski, Debra / Burklund, Amy / Lubbers, Brian / Reed, Debbie / Jenkins, Tracie / Erol, Erdal / Patel, Mukeshbhai / Locke, Stephan / Fortner, Jordan / Peak, Laura / Balasuriya, Udeni / Mani, Rinosh / Kettler, Niesa / Olsen, Karen / Zhang, Shuping / Shen, Zhenyu / Landinez, Martha Pulido / Thornton, Jay Kay / Thachil, Anil / Byrd, Melissa / Jacob, Megan / Krogh, Darlene / Webb, Brett / Schaan, Lynn / Patil, Amar / Dasgupta, Sarmila / Mann, Shannon / Goodman, Laura B / Franklin-Guild, Rebecca June / Anderson, Renee R / Mitchell, Patrick K / Cronk, Brittany D / Aprea, Missy / Cui, Jing / Jurkovic, Dominika / Prarat, Melanie / Zhang, Yan / Shiplett, Katherine / Campos, Dubra Diaz / Rubio, Joany Van Balen / Ramanchandran, Akhilesh / Talent, Scott / Tewari, Deepanker / Thirumalapura, Nagaraja / Kelly, Donna / Barnhart, Denise / Hall, Lacey / Rankin, Shelley / Dietrich, Jaclyn / Cole, Stephen / Scaria, Joy / Antony, Linto / Lawhon, Sara D / Wu, Jing / McCoy, Christine / Dietz, Kelly / Wolking, Rebecca / Alexander, Trevor / Burbick, Claire / Reimschuessel, Renate

Veterinary microbiology. 2021 Mar., v. 254

2021

Abstract: Whole-genome sequencing (WGS) has changed our understanding of bacterial pathogens, aiding outbreak investigations and advancing our knowledge of their genetic features. However, there has been limited use of genomics to understand antimicrobial ... ...

Abstract	Whole-genome sequencing (WGS) has changed our understanding of bacterial pathogens, aiding outbreak investigations and advancing our knowledge of their genetic features. However, there has been limited use of genomics to understand antimicrobial resistance of veterinary pathogens, which would help identify emerging resistance mechanisms and track their spread. The objectives of this study were to evaluate the correlation between resistance genotypes and phenotypes for Staphylococcus pseudintermedius, a major pathogen of companion animals, by comparing broth microdilution antimicrobial susceptibility testing and WGS. From 2017–2019, we conducted antimicrobial susceptibility testing and WGS on S. pseudintermedius isolates collected from dogs in the United States as a part of the Veterinary Laboratory Investigation and Response Network (Vet-LIRN) antimicrobial resistance monitoring program. Across thirteen antimicrobials in nine classes, resistance genotypes correlated with clinical resistance phenotypes 98.4 % of the time among a collection of 592 isolates. Our findings represent isolates from diverse lineages based on phylogenetic analyses, and these strong correlations are comparable to those from studies of several human pathogens such as Staphylococcus aureus and Salmonella enterica. We uncovered some important findings, including that 32.3 % of isolates had the mecA gene, which correlated with oxacillin resistance 97.0 % of the time. We also identified a novel rpoB mutation likely encoding rifampin resistance. These results show the value in using WGS to assess antimicrobial resistance in veterinary pathogens and to reveal putative new mechanisms of resistance.
Keywords	Salmonella enterica ; Staphylococcus aureus ; Staphylococcus pseudintermedius ; antibiotic resistance ; genes ; genomics ; humans ; microbiology ; minimum inhibitory concentration ; mutation ; oxacillin ; phylogeny ; rifampicin
Language	English
Dates of publication	2021-03
Publishing place	Elsevier B.V.
Document type	Article
Note	NAL-light
ZDB-ID	753154-0
ISSN	1873-2542 ; 0378-1135
ISSN (online)	1873-2542
ISSN	0378-1135
DOI	10.1016/j.vetmic.2021.109006
Database	NAL-Catalogue (AGRICOLA)

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Article ; Online: Genomics accurately predicts antimicrobial resistance in Staphylococcus pseudintermedius collected as part of Vet-LIRN resistance monitoring.

Veterinary microbiology

2021 Volume 254, Page(s) 109006

Abstract	Whole-genome sequencing (WGS) has changed our understanding of bacterial pathogens, aiding outbreak investigations and advancing our knowledge of their genetic features. However, there has been limited use of genomics to understand antimicrobial resistance of veterinary pathogens, which would help identify emerging resistance mechanisms and track their spread. The objectives of this study were to evaluate the correlation between resistance genotypes and phenotypes for Staphylococcus pseudintermedius, a major pathogen of companion animals, by comparing broth microdilution antimicrobial susceptibility testing and WGS. From 2017-2019, we conducted antimicrobial susceptibility testing and WGS on S. pseudintermedius isolates collected from dogs in the United States as a part of the Veterinary Laboratory Investigation and Response Network (Vet-LIRN) antimicrobial resistance monitoring program. Across thirteen antimicrobials in nine classes, resistance genotypes correlated with clinical resistance phenotypes 98.4 % of the time among a collection of 592 isolates. Our findings represent isolates from diverse lineages based on phylogenetic analyses, and these strong correlations are comparable to those from studies of several human pathogens such as Staphylococcus aureus and Salmonella enterica. We uncovered some important findings, including that 32.3 % of isolates had the mecA gene, which correlated with oxacillin resistance 97.0 % of the time. We also identified a novel rpoB mutation likely encoding rifampin resistance. These results show the value in using WGS to assess antimicrobial resistance in veterinary pathogens and to reveal putative new mechanisms of resistance.
MeSH term(s)	Animals ; Anti-Bacterial Agents/pharmacology ; Bacterial Proteins/genetics ; Canada ; Dog Diseases/microbiology ; Dogs/microbiology ; Drug Resistance, Bacterial/genetics ; Epidemiological Monitoring/veterinary ; Genomics/methods ; Genomics/standards ; Genotype ; Microbial Sensitivity Tests ; Phenotype ; Phylogeny ; Reproducibility of Results ; Staphylococcal Infections/microbiology ; Staphylococcal Infections/veterinary ; Staphylococcus/drug effects ; Staphylococcus/genetics ; Staphylococcus/isolation & purification ; United States ; Whole Genome Sequencing
Chemical Substances	Anti-Bacterial Agents ; Bacterial Proteins ; MecA protein, Staphylococcus pseudintermedius
Language	English
Publishing date	2021-02-04
Publishing country	Netherlands
Document type	Journal Article
ZDB-ID	753154-0
ISSN	1873-2542 ; 0378-1135
ISSN (online)	1873-2542
ISSN	0378-1135
DOI	10.1016/j.vetmic.2021.109006
Database	MEDical Literature Analysis and Retrieval System OnLINE

In stock of ZB MED Cologne/Königswinter

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Je nach Verfügbarkeit (siehe Angabe bei Bestand)
bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
Jg. 1995 - 2021: Lesesall (2.OG)
ab Jg. 2022: Lesesaal (EG)

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Article: Metagenomic Sequencing for Identification of Xylella fastidiosa from Leaf Samples.

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Inter-library loan at ZB MED

Article ; Online: Multi-laboratory evaluation of the Illumina iSeq platform for whole genome sequencing of

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Article: Genomics accurately predicts antimicrobial resistance in Staphylococcus pseudintermedius collected as part of Vet-LIRN resistance monitoring

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In stock of ZB MED Cologne/Königswinter

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Article ; Online: Genomics accurately predicts antimicrobial resistance in Staphylococcus pseudintermedius collected as part of Vet-LIRN resistance monitoring.

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Kategorien

In stock of ZB MED Cologne/Königswinter

Order via subito