scholarly journals Complete Genome Sequences of Three Outbreak-Associated Legionella pneumophila Isolates

2016 ◽  
Vol 4 (4) ◽  
Author(s):  
Shatavia S. Morrison ◽  
Heta P. Desai ◽  
Jeffrey W. Mercante ◽  
Pascal Lapierre ◽  
Brian H. Raphael ◽  
...  

We report here the complete genome sequences of three Legionella pneumophila isolates that are associated with a Legionnaires’ disease outbreak in New York in 2012. Two clinical isolates (D7630 and D7632) and one environmental isolate (D7631) were recovered from this outbreak. A single isolate-specific virulence gene was found in D7632. These isolates were included in a large study evaluating the genomic resolution of various bioinformatics approaches for L. pneumophila serogroup 1 isolates.

2016 ◽  
Vol 4 (4) ◽  
Author(s):  
Jeffrey W. Mercante ◽  
Shatavia S. Morrison ◽  
Brian H. Raphael ◽  
Jonas M. Winchell

Here, we report the complete genome sequences ofLegionella pneumophilaserogroup 1 strains OLDA and Pontiac, which predate the 1976 Philadelphia Legionnaires’ disease outbreak. Strain OLDA was isolated in 1947 from an apparent sporadic case, and strain Pontiac caused an explosive outbreak at a Michigan health department in 1968.


2016 ◽  
Vol 4 (6) ◽  
Author(s):  
Marius Dybwad ◽  
Tone Aarskaug ◽  
Else-Marie Fykse ◽  
Elisabeth Henie Madslien ◽  
Janet Martha Blatny

Here, we report the complete genome sequences of Legionella pneumophila isolates from two collocated outbreaks of Legionnaires’ disease in 2005 and 2008 in Sarpsborg/Fredrikstad, Norway. One clinical and two environmental isolates were sequenced from each outbreak. The genome of all six isolates consisted of a 3.36 Mb-chromosome, while the 2005 genomes featured an additional 68 kb-episome sharing high sequence similarity with the L. pneumophila Lens plasmid. All six genomes contained multiple mobile genetic elements including novel combinations of type-IVA secretion systems. A comparative genomics study will be launched to resolve the genetic relationship between the L. pneumophila isolates.


2017 ◽  
Vol 23 (11) ◽  
pp. 1784-1791 ◽  
Author(s):  
Pascal Lapierre ◽  
Elizabeth Nazarian ◽  
Yan Zhu ◽  
Danielle Wroblewski ◽  
Amy Saylors ◽  
...  

2019 ◽  
Vol 8 (41) ◽  
Author(s):  
Lauren K. Hudson ◽  
Tracey L. Peters ◽  
Yaxiong Song ◽  
Thomas G. Denes

Bacteriophages that infect the foodborne pathogen Listeria monocytogenes were previously isolated from New York dairy farms. The complete genome sequences for three of these Listeria phages, with genome sizes of 64.6 to 65.7 kb, are presented here. Listeria phages LP-010, LP-013, and LP-031-2 are siphoviruses that belong to the genus Homburgvirus.


2006 ◽  
Vol 188 (14) ◽  
pp. 5249-5257 ◽  
Author(s):  
Jianzhong Huang ◽  
Glenn S. Van Aller ◽  
Amy N. Taylor ◽  
John J. Kerrigan ◽  
Wu-Schyong Liu ◽  
...  

ABSTRACT Legionella pneumophila is a gram-negative facultative intracellular human pathogen that can cause fatal Legionnaires' disease. Polypeptide deformylase (PDF) is a novel broad-spectrum antibacterial target, and reports of inhibitors of PDF with potent activities against L. pneumophila have been published previously. Here, we report the identification of not one but three putative pdf genes, pdfA, pdfB, and pdfC, in the complete genome sequences of three strains of L. pneumophila. Phylogenetic analysis showed that L. pneumophila PdfA is most closely related to the commonly known γ-proteobacterial PDFs encoded by the gene def. PdfB and PdfC are more divergent and do not cluster with any specific bacterial or eukaryotic PDF. All three putative pdf genes from L. pneumophila strain Philadelphia 1 have been cloned, and their encoded products have been overexpressed in Escherichia coli and purified. Enzymatic characterization shows that the purified PDFs with Ni2+ substituted are catalytically active and able to remove the N-formyl group from several synthetic polypeptides, although they appear to have different substrate specificities. Surprisingly, while PdfA and PdfB with Zn2+ substituted are much less active than the Ni2+ forms of each enzyme, PdfC with Zn2+ substituted was as active as the Ni2+ form for the fMA substrate and exhibited substrate specificity different from that of Ni2+ PdfC. Furthermore, the catalytic activities of these enzymes are potently inhibited by a known small-molecule PDF inhibitor, BB-3497, which also inhibits the extracellular growth of L. pneumophila. These results indicate that even though L. pneumophila has three PDFs, they can be effectively inhibited by PDF inhibitors which can, therefore, have potent anti-L. pneumophila activity.


2018 ◽  
Vol 6 (4) ◽  
Author(s):  
Changhong Yin ◽  
Donald S. Chen ◽  
Jian Zhuge ◽  
Donna McKenna ◽  
Joan Sagurton ◽  
...  

ABSTRACTComplete genome sequences of four toxigenicClostridium difficileisolates from patients in the lower Hudson Valley, New York, USA, were achieved. These isolates represent four common sequence types (ST1, ST2, ST8, and ST42) belonging to two distinct phylogenetic clades. All isolates have a 4.0- to 4.2-Mb circular chromosome, and one carries a phage.


2017 ◽  
Vol 39 (1) ◽  
pp. 108-110 ◽  
Author(s):  
Brooke K. Decker ◽  
Patricia L. Harris ◽  
Diana L. Toy ◽  
Robert R. Muder ◽  
Ali F. Sonel ◽  
...  

Water cultures were significantly more sensitive than concurrently collected swab cultures (n=2,147 each) in detectingLegionella pneumophilawithin a Veterans Affairs healthcare system. Sensitivity for water versus swab cultures was 90% versus 30% overall, 83% versus 48% during a nosocomial Legionnaires’ disease outbreak, and 93% versus 22% post outbreak.Infect Control Hosp Epidemiol2018;39:108–110


2007 ◽  
Vol 136 (6) ◽  
pp. 823-832 ◽  
Author(s):  
J. CASTILLA ◽  
A. BARRICARTE ◽  
J. ALDAZ ◽  
M. GARCÍA CENOZ ◽  
T. FERRER ◽  
...  

SUMMARYAn outbreak of Legionnaire's disease was detected in Pamplona, Spain, on 1 June 2006. Patients with pneumonia were tested to detectLegionella pneumophilaantigen in urine (Binax Now; Binax Inc., Scarborough, ME, USA), and all 146 confirmed cases were interviewed. The outbreak was related to district 2 (22 012 inhabitants), where 45% of the cases lived and 50% had visited; 5% lived in neighbouring districts. The highest incidence was found in the resident population of district 2 (3/1000 inhabitants), section 2 (14/1000). All 31 cooling towers of district 2 were analysed.L. pneumophilaantigen (Binax Now) was detected in four towers, which were closed on 2 June. Only the strain isolated in a tower situated in section 2 of district 2 matched all five clinical isolates, as assessed by mAb and two genotyping methods, AFLP and PFGE. Eight days after closing the towers, new cases ceased appearing. Early detection and rapid coordinated medical and environmental actions permitted immediate control of the outbreak and probably contributed to the null case fatality.


Author(s):  
Wolfgang Haas ◽  
Pascal Lapierre ◽  
Kimberlee A. Musser

Legionnaires’ disease, a severe lung infection caused by the bacterium Legionella pneumophila, occurs as single cases or in outbreaks that are actively tracked by public health departments. To determine the point source of an outbreak, clinical isolates need to be compared to environmental samples to find matching isolates. One confounding factor is the genome plasticity of L. pneumophila, making an exact sequence comparison by whole-genome sequencing (WGS) challenging. Here, we present a WGS analysis pipeline, LegioCluster, designed to circumvent this problem by automatically selecting the best matching reference genome prior to mapping and variant calling. This approach reduces the number of false-positive variant calls, maximizes the fraction of all genomes that are being compared, and naturally clusters the isolates according to their reference strain. Isolates that are too distant from any genome in the database are added to the list of candidate references, thereby creating a new cluster. Short insertions and deletions are considered in addition to single nucleotide polymorphisms (SNP) for increased discriminatory power. This manuscript describes the use of this automated and "locked down" bioinformatic pipeline deployed at the New York State Department of Health's Wadsworth Center for investigating relatedness between clinical and environmental isolates. A similar pipeline has not been widely available for use to support this critically important public health investigation analysis.


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