Streamlined Whole Genome Sequencing of Mumps for High Resolution Outbreak Analysis

Author(s):  
Patrick Bryant ◽  
Haley Caldwell ◽  
Daryl Lamson ◽  
Tugba Yildirim ◽  
Kirsten St. George

Since 2015, the United States has experienced a resurgence in the number of mumps cases and outbreaks in fully vaccinated populations. These outbreaks have occurred predominantly in close quarter settings such as camps, colleges and detention centers. Phylogenetic analysis of 758 mumps positive samples from outbreaks across the United States, identified 743 (98%) as genotype G based on sequence analysis of the mumps small hydrophobic (SH) gene. Additionally, SH sequences in the genotype G samples showed almost no sequence diversity, with 675 (91%) of them having identical sequences or only one nucleotide difference. This uniformity of circulating genotype and strain created complications for epidemiologic investigations and necessitated the development of a system for rapidly generating mumps whole genome sequences for more detailed analysis. In this study, we report a novel and streamlined assay for whole genome sequencing (WGS) of mumps virus genotype G. The WGS procedure successfully generated 318 high-quality WGS sequences on nucleic acid from genotype G-positive respiratory samples collected during several mumps outbreaks in the United States between 2016-2019. Sequencing was performed by a rapid and highly sensitive custom Ion AmpliSeq mumps genotype G panel, with sample preparation performed on an Ion Chef and sequencing on an Ion S5. The WGS data generated by the AmpliSeq panel provided enhanced genomic resolution for epidemiological outbreak investigations. Translation and protein sequence analysis also identified several potentially important epitope changes in the circulating mumps genotype G strains compared to the Jeryl-Lynn strain (JL5) used in vaccines in the United States which could explain the current level of vaccine escapes.

2020 ◽  
Vol 110 (7) ◽  
pp. 1255-1259
Author(s):  
Emily Giroux ◽  
Guillaume J. Bilodeau

The filamentous ascomycete fungus Lachnellula willkommii is the causal agent of European larch canker (ELC), one of the most destructive diseases of larch in Europe and a regulated plant pathogen of quarantine significance in Canada and the United States. L. willkommii was first detected in Massachusetts, North America in 1927 on a larch plantation cultivated with nursery stock imported from Great Britain. Despite the decades of practices aimed at eliminating the pathogen, it has reappeared in coastal areas of Canada and the United States. There is concern ELC could spread throughout the range of eastern larch, a transcontinental species typical of the Boreal forest that spans the North American landscape. There is geographic range overlap between several nonpathogenic indigenous Lachnellula species and the reported distribution of L. willkommii in North America. Morphological and biological methods to distinguish L. willkommii are often inadequate as the fungus does not always produce the phenotypic structures that distinguish it from these other saprophytic Lachnellula species. Whole genome sequencing technologies were used to obtain the draft genome sequences of L. willkommii and six other Lachnellula species. Molecular markers identified from the genomic data may be used to discriminate L. willkommii from its nonpathogenic relatives.


2019 ◽  
Vol 16 (7) ◽  
pp. 441-450 ◽  
Author(s):  
Eric Brown ◽  
Uday Dessai ◽  
Sherri McGarry ◽  
Peter Gerner-Smidt

2019 ◽  
Vol 85 (23) ◽  
Author(s):  
Shaokang Zhang ◽  
Hendrik C. den Bakker ◽  
Shaoting Li ◽  
Jessica Chen ◽  
Blake A. Dinsmore ◽  
...  

ABSTRACT SeqSero, launched in 2015, is a software tool for Salmonella serotype determination from whole-genome sequencing (WGS) data. Despite its routine use in public health and food safety laboratories in the United States and other countries, the original SeqSero pipeline is relatively slow (minutes per genome using sequencing reads), is not optimized for draft genome assemblies, and may assign multiple serotypes for a strain. Here, we present SeqSero2 (github.com/denglab/SeqSero2; denglab.info/SeqSero2), an algorithmic transformation and functional update of the original SeqSero. Major improvements include (i) additional sequence markers for identification of Salmonella species and subspecies and certain serotypes, (ii) a k-mer based algorithm for rapid serotype prediction from raw reads (seconds per genome) and improved serotype prediction from assemblies, and (iii) a targeted assembly approach for specific retrieval of serotype determinants from WGS for serotype prediction, new allele discovery, and prediction troubleshooting. Evaluated using 5,794 genomes representing 364 common U.S. serotypes, including 2,280 human isolates of 117 serotypes from the National Antimicrobial Resistance Monitoring System, SeqSero2 is up to 50 times faster than the original SeqSero while maintaining equivalent accuracy for raw reads and substantially improving accuracy for assemblies. SeqSero2 further suggested that 3% of the tested genomes contained reads from multiple serotypes, indicating a use for contamination detection. In addition to short reads, SeqSero2 demonstrated potential for accurate and rapid serotype prediction directly from long nanopore reads despite base call errors. Testing of 40 nanopore-sequenced genomes of 17 serotypes yielded a single H antigen misidentification. IMPORTANCE Serotyping is the basis of public health surveillance of Salmonella. It remains a first-line subtyping method even as surveillance continues to be transformed by whole-genome sequencing. SeqSero allows the integration of Salmonella serotyping into a whole-genome-sequencing-based laboratory workflow while maintaining continuity with the classic serotyping scheme. SeqSero2, informed by extensive testing and application of SeqSero in the United States and other countries, incorporates important improvements and updates that further strengthen its application in routine and large-scale surveillance of Salmonella by whole-genome sequencing.


PLoS ONE ◽  
2012 ◽  
Vol 7 (4) ◽  
pp. e35699 ◽  
Author(s):  
Mary G. Krauland ◽  
Julie C. Dunning Hotopp ◽  
David R. Riley ◽  
Sean C. Daugherty ◽  
Jane W. Marsh ◽  
...  

Antibiotics ◽  
2021 ◽  
Vol 10 (3) ◽  
pp. 267
Author(s):  
Elton Burnett ◽  
Maria Ishida ◽  
Sofia de Janon ◽  
Sohail Naushad ◽  
Marc-Olivier Duceppe ◽  
...  

Salmonella Infantis, a common contaminant of poultry products, is known to harbor mobile genetic elements that confer multi-drug resistance (MDR) and have been detected in many continents. Here, we report four MDR S. Infantis strains recovered from poultry house environments in Santa Cruz Island of the Galapagos showing extended-spectrum β-lactamase (ESBL) resistance and reduced fluoroquinolone susceptibility. Whole-genome sequencing (WGS) revealed the presence of the ESBL-conferring blaCTX-M-65 gene in an IncFIB-like plasmid in three S. Infantis isolates. Multi-locus sequence typing (MLST) and single nucleotide variant/polymorphism (SNP) SNVPhyl analysis showed that the S. Infantis isolates belong to sequence type ST32, likely share a common ancestor, and are closely related (1–3 SNP difference) to blaCTX-M-65-containing clinical and veterinary S. Infantis isolates from the United States and Latin America. Furthermore, phylogenetic analysis of SNPs following core-genome alignment (i.e., ParSNP) inferred close relatedness between the S. Infantis isolates from Galapagos and the United States. Prophage typing confirmed the close relationship among the Galapagos S. Infantis and was useful in distinguishing them from the United States isolates. This is the first report of MDR blaCTX-M-65-containing S. Infantis in the Galapagos Islands and highlights the need for increased monitoring and surveillance programs to determine prevalence, sources, and reservoirs of MDR pathogens.


2018 ◽  
Vol 73 ◽  
pp. 122-128 ◽  
Author(s):  
Chris A. Whitehouse ◽  
Shenia Young ◽  
Cong Li ◽  
Chih-Hao Hsu ◽  
Gordon Martin ◽  
...  

mBio ◽  
2018 ◽  
Vol 9 (2) ◽  
Author(s):  
Tom J. B. de Man ◽  
Joseph D. Lutgring ◽  
David R. Lonsway ◽  
Karen F. Anderson ◽  
Julia A. Kiehlbauch ◽  
...  

ABSTRACTAntimicrobial resistance is a threat to public health globally and leads to an estimated 23,000 deaths annually in the United States alone. Here, we report the genomic characterization of an unusualKlebsiella pneumoniae, nonsusceptible to all 26 antibiotics tested, that was isolated from a U.S. patient. The isolate harbored four known beta-lactamase genes, including plasmid-mediatedblaNDM-1andblaCMY-6, as well as chromosomalblaCTX-M-15andblaSHV-28, which accounted for resistance to all beta-lactams tested. In addition, sequence analysis identified mechanisms that could explain all other reported nonsusceptibility results, including nonsusceptibility to colistin, tigecycline, and chloramphenicol. Two plasmids, IncA/C2 and IncFIB, were closely related to mobile elements described previously and isolated from Gram-negative bacteria from China, Nepal, India, the United States, and Kenya, suggesting possible origins of the isolate and plasmids. This is one of the firstK. pneumoniaeisolates in the United States to have been reported to the Centers for Disease Control and Prevention (CDC) as nonsusceptible to all drugs tested, including all beta-lactams, colistin, and tigecycline.IMPORTANCEAntimicrobial resistance is a major public health threat worldwide. Bacteria that are nonsusceptible or resistant to all antimicrobials available are of major concern to patients and the public because of lack of treatment options and potential for spread. AKlebsiella pneumoniaestrain that was nonsusceptible to all tested antibiotics was isolated from a U.S. patient. Mechanisms that could explain all observed phenotypic antimicrobial resistance phenotypes, including resistance to colistin and beta-lactams, were identified through whole-genome sequencing. The large variety of resistance determinants identified demonstrates the usefulness of whole-genome sequencing for detecting these genes in an outbreak response. Sequencing of isolates with rare and unusual phenotypes can provide information on how these extremely resistant isolates develop, including whether resistance is acquired on mobile elements or accumulated through chromosomal mutations. Moreover, this provides further insight into not only detecting these highly resistant organisms but also preventing their spread.


2018 ◽  
Vol 8 (1) ◽  
Author(s):  
Melissa J. Whaley ◽  
Sandeep J. Joseph ◽  
Adam C. Retchless ◽  
Cecilia B. Kretz ◽  
Amy Blain ◽  
...  

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