scholarly journals Comprehensive Whole-Genome Sequencing and Reporting of Drug Resistance Profiles on Clinical Cases of Mycobacterium tuberculosis in New York State

2017 ◽  
Vol 55 (6) ◽  
pp. 1871-1882 ◽  
Author(s):  
Joseph Shea ◽  
Tanya A. Halse ◽  
Pascal Lapierre ◽  
Matthew Shudt ◽  
Donna Kohlerschmidt ◽  
...  
Keyword(s):  
New York ◽  
Drug Resistance ◽  
Mycobacterium Tuberculosis ◽  
Whole Genome Sequencing ◽  
Genome Sequencing ◽  
Predictive Value ◽  
New York State ◽  
Whole Genome ◽  
Content Type ◽  
York State

ABSTRACTWhole-genome sequencing (WGS) is a newer alternative for tuberculosis (TB) diagnostics and is capable of providing rapid drug resistance profiles while performing species identification and capturing the data necessary for genotyping. Our laboratory developed and validated a comprehensive and sensitive WGS assay to characterizeMycobacterium tuberculosisand otherM. tuberculosiscomplex (MTBC) strains, composed of a novel DNA extraction, optimized library preparation, paired-end WGS, and an in-house-developed bioinformatics pipeline. This new assay was assessed using 608 MTBC isolates, with 146 isolates during the validation portion of this study and 462 samples received prospectively. In February 2016, this assay was implemented to test all clinical cases of MTBC in New York State, including isolates and early positive Bactec mycobacterial growth indicator tube (MGIT) 960 cultures from primary specimens. Since the inception of the assay, we have assessed the accuracy of identification of MTBC strains to the species level, concordance with culture-based drug susceptibility testing (DST), and turnaround time. Species identification by WGS was determined to be 99% accurate. Concordance between drug resistance profiles generated by WGS and culture-based DST methods was 96% for eight drugs, with an average resistance-predictive value of 93% and susceptible-predictive value of 96%. This single comprehensive WGS assay has replaced seven molecular assays and has resulted in resistance profiles being reported to physicians an average of 9 days sooner than with culture-based DST for first-line drugs and 32 days sooner for second-line drugs.

scholarly journals Whole-Genome Sequencing of Drug-Resistant Salmonella enterica Isolates from Dairy Cattle and Humans in New York and Washington States Reveals Source and Geographic Associations

2017 ◽  
Vol 83 (12) ◽  
Author(s):  
Laura M. Carroll ◽  
Martin Wiedmann ◽  
Henk den Bakker ◽  
Julie Siler ◽  
Steven Warchocki ◽  
...  
Keyword(s):  
New York ◽  
Whole Genome Sequencing ◽  
Genome Sequencing ◽  
Salmonella Enterica ◽  
New York State ◽  
Washington State ◽  
Whole Genome ◽  
Content Type ◽  
York State ◽  
Phenotypic Resistance

ABSTRACT Multidrug-resistant (MDR) Salmonella enterica can be spread from cattle to humans through direct contact with animals shedding Salmonella as well as through the food chain, making MDR Salmonella a serious threat to human health. The objective of this study was to use whole-genome sequencing to compare antimicrobial-resistant (AMR) Salmonella enterica serovars Typhimurium, Newport, and Dublin isolated from dairy cattle and humans in Washington State and New York State at the genotypic and phenotypic levels. A total of 90 isolates were selected for the study (37 S. Typhimurium, 32 S. Newport, and 21 S. Dublin isolates). All isolates were tested for phenotypic antibiotic resistance to 12 drugs using Kirby-Bauer disk diffusion. AMR genes were detected in the assembled genome of each isolate using nucleotide BLAST and ARG-ANNOT. Genotypic prediction of phenotypic resistance resulted in a mean sensitivity of 97.2 and specificity of 85.2. Sulfamethoxazole-trimethoprim resistance was observed only in human isolates (P < 0.05), while resistance to quinolones and fluoroquinolones was observed only in 6 S. Typhimurium isolates from humans in Washington State. S. Newport isolates showed a high degree of AMR profile similarity, regardless of source. S. Dublin isolates from New York State differed from those from Washington State based on the presence/absence of plasmid replicons, as well as phenotypic AMR susceptibility/nonsusceptibility (P < 0.05). The results of this study suggest that distinct factors may contribute to the emergence and dispersal of AMR S. enterica in humans and farm animals in different regions. IMPORTANCE The use of antibiotics in food-producing animals has been hypothesized to select for AMR Salmonella enterica and associated AMR determinants, which can be transferred to humans through different routes. Previous studies have sought to assess the degree to which AMR livestock- and human-associated Salmonella strains overlap, as well as the spatial distribution of Salmonella's associated AMR determinants, but have often been limited by the degree of resolution at which isolates can be compared. Here, a comparative genomics study of livestock- and human-associated Salmonella strains from different regions of the United States shows that while many AMR genes and phenotypes were confined to human isolates, overlaps between the resistomes of bovine and human-associated Salmonella isolates were observed on numerous occasions, particularly for S. Newport. We have also shown that whole-genome sequencing can be used to reliably predict phenotypic resistance across Salmonella isolated from bovine sources.

scholarly journals Genomic Resolution of Outbreak-Associated Legionella pneumophila Serogroup 1 Isolates from New York State

2016 ◽  
Vol 82 (12) ◽  
pp. 3582-3590 ◽  
Author(s):  
Brian H. Raphael ◽  
Deborah J. Baker ◽  
Elizabeth Nazarian ◽  
Pascal Lapierre ◽  
Dianna Bopp ◽  
...  
Keyword(s):  
New York ◽  
Whole Genome Sequencing ◽  
Genome Sequencing ◽  
Legionella Pneumophila ◽  
New York State ◽  
Whole Genome ◽  
Content Type ◽  
York State ◽  
Laboratory Investigations ◽  
Pfge Profiles

ABSTRACTA total of 30Legionella pneumophilaserogroup 1 isolates representing 10 separate legionellosis laboratory investigations (“outbreaks”) that occurred in New York State between 2004 and 2012 were selected for evaluation of whole-genome sequencing (WGS) approaches for molecular subtyping of this organism. Clinical and environmental isolates were available for each outbreak and were initially examined by pulsed-field gel electrophoresis (PFGE). Sequence-based typing alleles were extracted from WGS data yielding complete sequence types (ST) for isolates representing 8 out of the 10 outbreaks evaluated in this study. Isolates from separate outbreaks sharing the same ST also contained the fewest differences in core genome single nucleotide polymorphisms (SNPs) and the greatest proportion of identical allele sequences in a whole-genome multilocus sequence typing (wgMLST) scheme. Both core SNP and wgMLST analyses distinguished isolates from separate outbreaks, including those from two outbreaks sharing indistinguishable PFGE profiles. Isolates from a hospital-associated outbreak spanning multiple years shared indistinguishable PFGE profiles but displayed differences in their genome sequences, suggesting the presence of multiple environmental sources. Finally, thertxgene demonstrated differences in the repeat region sequence among ST1 isolates from different outbreaks, suggesting that variation in this gene may be useful for targeted molecular subtyping approaches forL. pneumophila. This study demonstrates the utility of various genome sequence analysis approaches forL. pneumophilafor environmental source attribution studies while furthering the understanding ofLegionellaecology.IMPORTANCEWe demonstrate that whole-genome sequencing helps to improve resolution ofLegionella pneumophilaisolated during laboratory investigations of legionellosis compared to traditional subtyping methods. These data can be important in confirming the environmental sources of legionellosis outbreaks. Moreover, we evaluated various methods to analyze genome sequence data to help resolve outbreak-related isolates.

scholarly journals Ability of Whole-Genome Sequencing to Refine a Salmonella I 4,“5,”,12:i:- Cluster in New York State and Detect a Multistate Outbreak Linked to Raw Poultry

2021 ◽  
Vol 41 (2) ◽  
pp. 239
Author(s):  
Paula Huth ◽  
Samantha E. Wirth ◽  
Deborah Baker ◽  
David C. Nicholas ◽  
Aphrodite Douris ◽  
...  
Keyword(s):  
New York ◽  
Whole Genome Sequencing ◽  
Genome Sequencing ◽  
New York State ◽  
Whole Genome ◽  
York State ◽  
Raw Poultry

scholarly journals Genome Sequencing of Polydrug-, Multidrug-, and Extensively Drug-Resistant Mycobacterium tuberculosis Strains from South India

2019 ◽  
Vol 8 (12) ◽  
Author(s):  
Sivakumar Shanmugam ◽  
Narender Kumar ◽  
Dina Nair ◽  
Mohan Natrajan ◽  
Srikanth Prasad Tripathy ◽  
...  
Keyword(s):  
Mycobacterium Tuberculosis ◽  
Whole Genome Sequencing ◽  
Genome Sequencing ◽  
South India ◽  
Sequence Data ◽  
Whole Genome ◽  
Drug Resistant ◽  
Resistance Mutations ◽  
Content Type ◽  
Extensively Drug Resistant

The genomes of 16 clinical Mycobacterium tuberculosis isolates were subjected to whole-genome sequencing to identify mutations related to resistance to one or more anti-Mycobacterium drugs. The sequence data will help in understanding the genomic characteristics of M. tuberculosis isolates and their resistance mutations prevalent in South India.

scholarly journals Independent Microevolution Mediated by Mobile Genetic Elements of IndividualClostridium difficileIsolates from Clade 4 Revealed by Whole-Genome Sequencing

mSystems ◽  
2019 ◽  
Vol 4 (2) ◽  
Author(s):  
Yuan Wu ◽  
Chen Liu ◽  
Wen-Ge Li ◽  
Jun-Li Xu ◽  
Wen-Zhu Zhang ◽  
...  
Keyword(s):  
Drug Resistance ◽  
Clostridium Difficile ◽  
Whole Genome Sequencing ◽  
Genome Sequencing ◽  
Mobile Genetic Elements ◽  
High Rate ◽  
Whole Genome ◽  
Content Type ◽  
Genetic Elements ◽  
Sequence Types

ABSTRACTHorizontal gene transfer of mobile genetic elements (MGEs) accounts for the mosaic genome ofClostridium difficile, leading to acquisition of new phenotypes, including drug resistance and reconstruction of the genomes. MGEs were analyzed according to the whole-genome sequences of 37C. difficileisolates with a variety of sequence types (STs) within clade 4 from China. Great diversity was found in each transposon even within isolates with the same ST. Two novel transposons were identified in isolates ZR9 and ZR18, of which approximately one third to half of the genes showed heterogenous origins compared with the usual intestinal bacterial genes. Most importantly,catD, known to be harbored by Tn4453a/b, was replaced byaac(6′) aph(2′′)in isolates 2, 7, and 28. This phenomenon illustrated the frequent occurrence of gene exchanges betweenC. difficileand other enterobacteria with individual heterogeneity. Numerous prophages and CRISPR arrays were identified inC. difficileisolates of clade 4. Approximately 20% of spacers were located in prophage-carried CRISPR arrays, providing a new method for typing and tracing the origins of closely related isolates, as well as in-depth studies of the mechanism underlying genome remodeling. The rates of drug resistance were obviously higher than those reported previously around the world, although all isolates retained high sensitivity to vancomycin and metronidazole. The increasing number ofC. difficileisolates resistant to all antibiotics tested here suggests the ease with which resistance is acquiredin vivo. This study gives insights into the genetic mechanism of microevolution within clade 4.IMPORTANCEMobile genetic elements play a key role in the continuing evolution ofClostridium difficile, resulting in the emergence of new phenotypes for individual isolates. On the basis of whole-genome sequencing analysis, we comprehensively explored transposons, CRISPR, prophage, and genetic sites for drug resistance within clade 4C. difficileisolates with different sequence types. Great diversity in MGEs and a high rate of multidrug resistance were found within this clade, including new transposons, Tn4453a/bwithaac(6′) aph(2′′)instead ofcatD, and a relatively high rate of prophage-carried CRISPR arrays. These findings provide important new insights into the mechanism of genome remodeling within clade 4 and offer a new method for typing and tracing the origins of closely related isolates.

scholarly journals Whole-Genome Sequencing for Drug Resistance Profile Prediction inMycobacterium tuberculosis

2019 ◽  
Vol 63 (4) ◽  
Author(s):  
Sebastian M. Gygli ◽  
Peter M. Keller ◽  
Marie Ballif ◽  
Nicolas Blöchliger ◽  
Rico Hömke ◽  
...  
Keyword(s):  
Drug Resistance ◽  
Whole Genome Sequencing ◽  
Genome Sequencing ◽  
Critical Concentration ◽  
Drug Susceptibility Testing ◽  
Quality Data ◽  
Whole Genome ◽  
Resistance Mutations ◽  
Content Type ◽  
Agar Dilution

ABSTRACTWhole-genome sequencing allows rapid detection of drug-resistantMycobacterium tuberculosisisolates. However, the availability of high-quality data linking quantitative phenotypic drug susceptibility testing (DST) and genomic data have thus far been limited. We determined drug resistance profiles of 176 genetically diverse clinicalM. tuberculosisisolates from the Democratic Republic of the Congo, Ivory Coast, Peru, Thailand, and Switzerland by quantitative phenotypic DST for 11 antituberculous drugs using the BD Bactec MGIT 960 system and 7H10 agar dilution to generate a cross-validated phenotypic DST readout. We compared DST results with predicted drug resistance profiles inferred by whole-genome sequencing. Classification of strains by the two phenotypic DST methods into resistotype/wild-type populations was concordant in 73 to 99% of cases, depending on the drug. Our data suggest that the established critical concentration (5 mg/liter) for ethambutol resistance (MGIT 960 system) is too high and misclassifies strains as susceptible, unlike 7H10 agar dilution. Increased minimal inhibitory concentrations were explained by mutations identified by whole-genome sequencing. Using whole-genome sequences, we were able to predict quantitative drug resistance levels for the majority of drug resistance mutations. Predicting quantitative levels of drug resistance by whole-genome sequencing was partially limited due to incompletely understood drug resistance mechanisms. The overall sensitivity and specificity of whole-genome-based DST were 86.8% and 94.5%, respectively. Despite some limitations, whole-genome sequencing has the potential to infer resistance profiles without the need for time-consuming phenotypic methods.

scholarly journals Deciphering drug resistance in Mycobacterium tuberculosis using whole-genome sequencing: progress, promise, and challenges

2019 ◽  
Vol 11 (1) ◽  
Author(s):  
Keira A. Cohen ◽  
Abigail L. Manson ◽  
Christopher A. Desjardins ◽  
Thomas Abeel ◽  
Ashlee M. Earl
Keyword(s):  
Drug Resistance ◽  
Mycobacterium Tuberculosis ◽  
Whole Genome Sequencing ◽  
Genome Sequencing ◽  
Whole Genome

scholarly journals Whole-Genome Sequencing of Streptomycin-Resistant Mycobacterium tuberculosis Strain SBH145 from Sabah, Malaysia

2022 ◽  
Author(s):  
Zainal Arifin Mustapha ◽  
Jaeyres Jani ◽  
Cheronie Shely Stanis ◽  
Dg Syahidah Nadiah Abdull Majid ◽  
Chin Kai Ling ◽  
...  
Keyword(s):  
Mycobacterium Tuberculosis ◽  
Pulmonary Tuberculosis ◽  
Whole Genome Sequencing ◽  
Genome Sequencing ◽  
The Philippines ◽  
Whole Genome ◽  
Content Type ◽  
Tuberculosis Strain ◽  
Mycobacterium Tuberculosis Strain ◽  
Malaysian Borneo

This paper reports on the whole-genome sequencing of a streptomycin-resistant Mycobacterium tuberculosis strain that was isolated from a patient with pulmonary tuberculosis in Sabah state of Malaysian Borneo. The strain belongs to the EAI2-Manila family of lineage 1 and is clustered with M. tuberculosis strains from the Philippines, India, and Taiwan.

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