Jennifer L. Guthrie
University of British Columbia
Network
Latest external collaboration on country level. Dive into details by clicking on the dots.
Publication
Featured researches published by Jennifer L. Guthrie.
Journal of Clinical Microbiology | 2014
Frances B. Jamieson; Jennifer L. Guthrie; A. Neemuchwala; O. Lastovetska; Roberto G. Melano; Carolina Mehaffy
ABSTRACT Resistance to rifampin (RIF) and rifabutin (RFB) in Mycobacterium tuberculosis is associated with mutations within an 81-bp region of the rpoB gene (RIF resistance-determining region [RRDR]). Previous studies have shown that certain mutations in this region are more likely to confer high levels of RIF resistance, while others may be found in phenotypically susceptible isolates. In this study, we sought to determine the relationship between the MICs of RIF and RFB and rpoB RRDR mutations in 32 multidrug-resistant (MDR), 4 RIF-monoresistant, and 5 susceptible M. tuberculosis clinical isolates. The MICs were determined using the MGIT 960 system. Mutations in the rpoB RRDR were determined by Sanger sequencing. RpoB proteins with mutations S531L (a change of S to L at position 531), S531W, H526Y, and H526D and the double mutation D516A-R529Q were associated with high MICs for RIF and RFB. Five isolates carrying the mutations L511P, H526L, H526N, and D516G-S522L were found to be susceptible to RIF. Several mutations were associated with resistance to RIF and susceptibility to RFB (F514FF, D516V, and S522L). Whole-genome sequencing of two MDR isolates without rpoB RRDR mutations revealed a mutation outside the RRDR (V146F; RIF MIC of 50 μg/ml). The implications of the polymorphisms identified in the second of these isolates in RIF resistance need to be further explored. Our study further establishes a correlation between the mutations and the MICs of RIF and, also, RFB in M. tuberculosis. Several rpoB mutations were identified in RIF- and RFB-susceptible isolates. The clinical significance of these findings requires further exploration. Until then, a combination of phenotypic and molecular testing is advisable for drug susceptibility testing.
Journal of Clinical Microbiology | 2010
Jennifer L. Guthrie; A. V. Robertson; Patrick Tang; Frances Jamieson; Steven J. Drews
ABSTRACT Bordetella holmesii is a human pathogen found mainly in immunocompromised patients. A specific real-time PCR assay was developed and successfully used to identify specimens from which B. holmesii was misidentified as Bordetella pertussis and to establish the prevalence of B. holmesii in Ontario patients with pertussis-like symptoms.
Journal of Clinical Microbiology | 2008
Jennifer L. Guthrie; C. Seah; Shirley Brown; Patrick Tang; Frances Jamieson; Steven J. Drews
ABSTRACT This study utilized the Bordetella pertussis single-copy PCR target BP3385 as a means of confirming IS481 PCR-positive reactions with cycle threshold (CT) values of >35. IS481 PCRs with CT values of >35 cycles may represent PCR conditions where there is <1 CFU of B. pertussis per PCR.
Journal of Clinical Microbiology | 2012
David C. Alexander; Jennifer Ma; Jennifer L. Guthrie; Joanne Blair; Pam Chedore; Frances Jamieson
ABSTRACT Pyrazinamide (PZA) is an important component of first-line therapy for the treatment of tuberculosis. Here, we evaluate targeted gene sequencing as a supplement to phenotypic PZA susceptibility testing of Mycobacterium tuberculosis. Routine sequencing of pncA, but not rpsA, is effective for verification of PZA susceptibility results.
PLOS ONE | 2014
Carolina Mehaffy; Jennifer L. Guthrie; David C. Alexander; Rebecca Stuart; Elizabeth Rea; Frances B. Jamieson
The transmission and persistence of Mycobacterium tuberculosis within high risk populations is a threat to tuberculosis (TB) control. In the current study, we used whole genome sequencing (WGS) to decipher the transmission dynamics and microevolution of M. tuberculosis ON-A, an endemic strain responsible for an ongoing outbreak of TB in an urban homeless/under-housed population. Sixty-one M. tuberculosis isolates representing 57 TB cases from 1997 to 2013 were subjected to WGS. Sequencing data was integrated with available epidemiological information and analyzed to determine how the M. tuberculosis ON-A strain has evolved during almost two decades of active transmission. WGS offers higher discriminatory power than traditional genotyping techniques, dividing the M. tuberculosis ON-A strain into 6 sub-clusters, each defined by unique single nucleotide polymorphism profiles. One sub-cluster, designated ON-ANM (Natural Mutant; 26 isolates from 24 cases) was also defined by a large, 15 kb genomic deletion. WGS analysis reveals the existence of multiple transmission chains within the same population/setting. Our results help validate the utility of WGS as a powerful tool for identifying genomic changes and adaptation of M. tuberculosis.
Journal of Clinical Microbiology | 2014
Frances B. Jamieson; S. Teatero; Jennifer L. Guthrie; A. Neemuchwala; Nahuel Fittipaldi; Carolina Mehaffy
ABSTRACT Mycobacterium tuberculosis isolates of the Manila sublineage are genetically homogeneous. In this study, we used whole-genome sequencing (WGS) to type a collection of 36 M. tuberculosis isolates of the Manila family. WGS enabled the subtyping of these 36 isolates into at least 10 distinct clusters. Our results indicate that WGS is a powerful approach to determining the relatedness of Manila family M. tuberculosis isolates.
International Journal of Tuberculosis and Lung Disease | 2013
Tuite Ar; Jennifer L. Guthrie; David C. Alexander; Michael Whelan; Brenda Lee; Lam K; Jennifer Ma; Fisman Dn; Frances Jamieson
BACKGROUND In Canada, tuberculosis (TB) rates are at a historic low, with the remaining risk concentrated in a few vulnerable population subgroups. OBJECTIVES To describe the epidemiology of TB in the Canadian province of Ontario and to characterise risk factors associated with transmission events, identified using genetic typing techniques. DESIGN Retrospective analysis of 2186 culture-positive TB cases between August 2007 and December 2011. Temporal trends and risk of spatiotemporal and genotypic clustering were evaluated using Poisson and logistic regression models. RESULTS Being in a spatiotemporal cluster was associated with Aboriginal status (odds ratio [OR] 3.63, 95% confidence interval [CI] 1.23-10.71). Cases in genotypic clusters were more likely to report homelessness as a risk factor (adjusted OR [aOR] 2.92, 95%CI 1.74-4.90) or be male (aOR 1.35, 95%CI 1.09-1.68), and were less likely to be aged ≥ 65 years (aOR 0.63, 95%CI 0.49-0.82), foreign-born (aOR 0.32, 95%CI 0.24-0.43) or Aboriginal (aOR 0.40, 95%CI 0.16-0.99). The Beijing lineage had an annual rate of increase of almost 10% (P = 0.047), and was associated with genotypic clustering (aOR 2.84, 95%CI 2.19-3.67). CONCLUSION Genotypic data suggest that disease clusters are smaller, but far more common, than would be estimated using spatiotemporal clustering.
Journal of Clinical Microbiology | 2009
David C. Alexander; Jennifer L. Guthrie; Daria Pyskir; Anne Maki; Natalia Kurepina; Barry N. Kreiswirth; Pamela Chedore; Steven J. Drews; Frances Jamieson
ABSTRACT A collection of 1,308 clinical Mycobacterium tuberculosis isolates from Ontario, Canada, was genotyped by IS6110 restriction fragment length polymorphism (RFLP) and mycobacterial interspersed repetitive-unit-variable-number tandem-repeat (MIRU-VNTR) analysis. RFLP or >12 MIRU-VNTR loci were necessary for resolution of Indo-Oceanic strains. The low clustering rate and high strain diversity indicate that, in Ontario, most tuberculosis results from reactivation of latent infections.
Annals of the New York Academy of Sciences | 2017
Jennifer L. Guthrie; Jennifer L. Gardy
Genomics is now firmly established as a technique for the investigation and reconstruction of communicable disease outbreaks, with many genomic epidemiology studies focusing on revealing transmission routes of Mycobacterium tuberculosis. In this primer, we introduce the basic techniques underlying transmission inference from genomic data, using illustrative examples from M. tuberculosis and other pathogens routinely sequenced by public health agencies. We describe the laboratory and epidemiological scenarios under which genomics may or may not be used, provide an introduction to sequencing technologies and bioinformatics approaches to identifying transmission‐informative variation and resistance‐associated mutations, and discuss how variation must be considered in the light of available clinical and epidemiological information to infer transmission.
Journal of Clinical Microbiology | 2012
Lauren S. Cowan; Delaina P. Hooks; Sara Christianson; Meenu K. Sharma; David C. Alexander; Jennifer L. Guthrie; Frances Jamieson; Philip Supply; Caroline Allix-Béguec; Laura Cruz; Ed Desmond; Rebecca Kramer; Sonia Lugo; James T. Rudrik
The external quality assessment of 24-locus mycobacterial interspersed repetitive-unit–variable-number tandem-repeat (MIRU-VNTR) genotyping by de Beer et al. reveals issues with its international performance ([5][1]). Detailed analysis of the data was confounded by the complexity of the