scholarly journals Epidemiological investigation of Pseudomonas aeruginosa isolates from a six-year-long hospital outbreak using high-throughput whole genome sequencing

2013 ◽  
Vol 18 (42) ◽  
Author(s):  
L A Snyder ◽  
N J Loman ◽  
L A Faraj ◽  
K Levi ◽  
G Weinstock ◽  
...  

Binary file ES_Abstracts_Final_ECDC.txt matches

Diagnostics ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 201
Author(s):  
Sang Mee Hwang ◽  
Hee Won Cho ◽  
Tae Yeul Kim ◽  
Jeong Su Park ◽  
Jongtak Jung ◽  
...  

Carbapenem-resistant Acinetobacter baumannii (CRAB) outbreaks in hospital settings challenge the treatment of patients and infection control. Understanding the relatedness of clinical isolates is important in distinguishing outbreak isolates from sporadic cases. This study investigated 11 CRAB isolates from a hospital outbreak by whole-genome sequencing (WGS), utilizing various bioinformatics tools for outbreak analysis. The results of multilocus sequence typing (MLST), single nucleotide polymorphism (SNP) analysis, and phylogenetic tree analysis by WGS through web-based tools were compared, and repetitive element polymerase chain reaction (rep-PCR) typing was performed. Through the WGS of 11 A. baumannii isolates, three clonal lineages were identified from the outbreak. The coexistence of blaOXA-23, blaOXA-66, blaADC-25, and armA with additional aminoglycoside-inactivating enzymes, predicted to confer multidrug resistance, was identified in all isolates. The MLST Oxford scheme identified three types (ST191, ST369, and ST451), and, through whole-genome MLST and whole-genome SNP analyses, different clones were found to exist within the MLST types. wgSNP showed the highest discriminatory power with the lowest similarities among the isolates. Using the various bioinformatics tools for WGS, CRAB outbreak analysis was applicable and identified three discrete clusters differentiating the separate epidemiologic relationships among the isolates.


2015 ◽  
Vol 21 (11) ◽  
pp. 1001-1007 ◽  
Author(s):  
Y. Jiang ◽  
Z. Wei ◽  
Y. Wang ◽  
X. Hua ◽  
Y. Feng ◽  
...  

2022 ◽  
Author(s):  
Jason Nguyen ◽  
Rebecca Hickman ◽  
Tracy Lee ◽  
Natalie Prystajecky ◽  
John Tyson

This procedure provides instructions on how to prepare DNA libraries for whole genome sequencing on an Illumina MiSeq or NextSeq using Illumina’s DNA Prep Library Preparation Kit scaled to half reaction volumes with modifications to the post-PCR procedures; tagmentation stop buffer and associated washes are removed and libraries are pooled post PCR then a single size selection is performed. This protocol is used to sequence SARS-CoV-2 using the cDNA/PCR protocol: https://dx.doi.org/10.17504/protocols.io.b3viqn4e


2014 ◽  
Vol 14 (1) ◽  
pp. 49 ◽  
Author(s):  
Galina Sergeev ◽  
Sambit Roy ◽  
Michael Jarek ◽  
Viktor Zapolskii ◽  
Dieter E Kaufmann ◽  
...  

2015 ◽  
Vol 53 (8) ◽  
pp. 2622-2631 ◽  
Author(s):  
Jane F. Turton ◽  
Laura Wright ◽  
Anthony Underwood ◽  
Adam A. Witney ◽  
Yuen-Ting Chan ◽  
...  

Whole-genome sequencing (WGS) was carried out on 87 isolates of sequence type 111 (ST-111) of Pseudomonas aeruginosa collected between 2005 and 2014 from 65 patients and 12 environmental isolates from 24 hospital laboratories across the United Kingdom on an Illumina HiSeq instrument. Most isolates (73) carried VIM-2, but others carried IMP-1 or IMP-13 (5) or NDM-1 (1); one isolate had VIM-2 and IMP-18, and 7 carried no metallo-beta-lactamase (MBL) gene. Single nucleotide polymorphism analysis divided the isolates into distinct clusters; the NDM-1 isolate was an outlier, and the IMP isolates and 6/7 MBL-negative isolates clustered separately from the main set of 73 VIM-2 isolates. Within the VIM-2 set, there were at least 3 distinct clusters, including a tightly clustered set of isolates from 3 hospital laboratories consistent with an outbreak from a single introduction that was quickly brought under control and a much broader set dominated by isolates from a long-running outbreak in a London hospital likely seeded from an environmental source, requiring different control measures; isolates from 7 other hospital laboratories in London and southeast England were also included. Bayesian evolutionary analysis indicated that all the isolates shared a common ancestor dating back ∼50 years (1960s), with the main VIM-2 set separating approximately 20 to 30 years ago. Accessory gene profiling revealed blocks of genes associated with particular clusters, with some having high similarity (≥95%) to bacteriophage genes. WGS of widely found international lineages such as ST-111 provides the necessary resolution to inform epidemiological investigations and intervention policies.


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