10 results on '"Darrin Lemmer"'
Search Results
2. St. Louis Encephalitis Virus in the Southwestern United States: A Phylogeographic Case for a Multi-Variant Introduction Event
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Chase L. Ridenour, Jill Cocking, Samuel Poidmore, Daryn Erickson, Breezy Brock, Michael Valentine, Chandler C. Roe, Steven J. Young, Jennifer A. Henke, Kim Y. Hung, Jeremy Wittie, Elene Stefanakos, Chris Sumner, Martha Ruedas, Vivek Raman, Nicole Seaton, William Bendik, Heidie M. Hornstra O’Neill, Krystal Sheridan, Heather Centner, Darrin Lemmer, Viacheslav Fofanov, Kirk Smith, James Will, John Townsend, Jeffrey T. Foster, Paul S. Keim, David M. Engelthaler, and Crystal M. Hepp
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St. Louis encephalitis virus ,BEAST ,genomics ,phylogenetic analysis ,Culex mosquitoes ,Genetics ,QH426-470 - Abstract
Since the reemergence of St. Louis Encephalitis (SLE) Virus (SLEV) in the Southwest United States, identified during the 2015 outbreak in Arizona, SLEV has been seasonally detected within Culex spp. populations throughout the Southwest United States. Previous work revealed the 2015 outbreak was caused by an importation of SLEV genotype III, which had only been detected previously in Argentina. However, little is known about when the importation occurred or the transmission and genetic dynamics since its arrival into the Southwest. In this study, we sought to determine whether the annual detection of SLEV in the Southwest is due to enzootic cycling or new importations. To address this question, we analyzed 174 SLEV genomes (142 sequenced as part of this study) using Bayesian phylogenetic analyses to estimate the date of arrival into the American Southwest and characterize the underlying population structure of SLEV. Phylogenetic clustering showed that SLEV variants circulating in Maricopa and Riverside counties form two distinct populations with little evidence of inter-county transmission since the onset of the outbreak. Alternatively, it appears that in 2019, Yuma and Clark counties experienced annual importations of SLEV that originated in Riverside and Maricopa counties. Finally, the earliest representatives of SLEV genotype III in the Southwest form a polytomy that includes both California and Arizona samples. We propose that the initial outbreak most likely resulted from the importation of a population of SLEV genotype III variants, perhaps in multiple birds, possibly multiple species, migrating north in 2013, rather than a single variant introduced by one bird.
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- 2021
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3. Minority Mycobacterium tuberculosis Genotypic Populations as an Indicator of Subsequent Phenotypic Resistance
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Frederick A. Sirgel, Eric Vittinghoff, Grant Theron, Elizabeth M. Streicher, Darrin Lemmer, David M. Engelthaler, Erin Kelley, Kristin Wiggins, John Z. Metcalfe, Robin M. Warren, Christopher J. Allender, and Dulce Jimenez
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Pulmonary and Respiratory Medicine ,Genetics ,Tuberculosis ,Extramural ,Clinical Biochemistry ,Cell Biology ,Drug resistance ,Biology ,medicine.disease ,biology.organism_classification ,Bacterial genetics ,Mycobacterium tuberculosis ,Genotype ,medicine ,Phenotypic resistance ,Molecular Biology ,Selection (genetic algorithm) - Published
- 2019
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4. A global to local genomics analysis of Clostridioides difficile ST1/RT027 identifies cryptic transmission events in a northern Arizona healthcare network
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Darrin Lemmer, Charles H. D. Williamson, Jason Travis, Heidie Hornstra, Adam J. Vazquez, Joel Terriquez, Amalee E. Nunnally, Chandler C. Roe, John D. Gillece, David M. Wagner, Jacob Vinocur, Nivedita Nandurkar, Nathan E. Stone, Jason W. Sahl, and Paul Keim
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DNA, Bacterial ,Lineage (genetic) ,antibiotic resistance ,Microbial evolution and epidemiology: Population Genomics ,Single-nucleotide polymorphism ,Context (language use) ,Genomics ,Biology ,Genome ,Ribotyping ,03 medical and health sciences ,Antibiotic resistance ,Humans ,Genetic variability ,Phylogeny ,030304 developmental biology ,Whole genome sequencing ,Genetics ,0303 health sciences ,Cross Infection ,Whole Genome Sequencing ,030306 microbiology ,Clostridioides difficile ,Arizona ,transmission ,General Medicine ,Clostridium Infections ,Multilocus sequence typing ,Genome, Bacterial ,Research Article - Abstract
Clostridioides difficileis a ubiquitous, diarrhoeagenic pathogen often associated with healthcare-acquired infections that can cause a range of symptoms from mild, self-limiting disease to toxic megacolon and death. Since the early 2000s, a large proportion ofC. difficilecases have been attributed to the ribotype 027 (RT027) lineage, which is associated with sequence type 1 (ST1) in theC. difficilemultilocus sequence typing scheme. The spread of ST1 has been attributed, in part, to resistance to fluoroquinolones used to treat unrelated infections, which creates conditions ideal forC. difficilecolonization and proliferation. In this study, we analysed 27 isolates from a healthcare network in northern Arizona, USA, and 1352 publicly available ST1 genomes to place locally sampled isolates into a global context. Whole genome, single nucleotide polymorphism analysis demonstrated that at least six separate introductions of ST1 were observed in healthcare facilities in northern Arizona over an 18-month sampling period. A reconstruction of transmission networks identified potential nosocomial transmission of isolates, which were only identified via whole genome sequence analysis. Antibiotic resistance heterogeneity was observed among ST1 genomes, including variability in resistance profiles among locally sampled ST1 isolates. To investigate why ST1 genomes are so common globally and in northern Arizona, we compared all high-qualityC. difficilegenomes and identified that ST1 genomes have gained and lost a number of genomic regions compared to all otherC. difficilegenomes; analyses of other toxigenicC. difficilesequence types demonstrate that this loss may be anomalous and could be related to niche specialization. These results suggest that a combination of antimicrobial resistance and gain and loss of specific genes may explain the prominent association of this sequence type withC. difficileinfection cases worldwide. The degree of genetic variability in ST1 suggests that classifying all ST1 genomes into a quinolone-resistant hypervirulent clone category may not be appropriate. Whole genome sequencing of clinicalC. difficileisolates provides a high-resolution surveillance strategy for monitoring persistence and transmission ofC. difficileand for assessing the performance of infection prevention and control strategies.
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- 2019
5. Whole-genome and targeted sequencing of drug-resistant Mycobacterium tuberculosis on the iSeq100 and MiSeq: A performance, ease-of-use, and cost evaluation
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Rebecca E. Colman, Claudia M. Denkinger, Anita Suresh, Timothy C. Rodwell, Jonathan Hetzel, Amanda G. Young, David M. Engelthaler, Marva Seifert, Aurélien Macé, Donald G. Catanzaro, Darrin Lemmer, Haifa Mshaiel, and Chaisson, Richard
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Time Factors ,Computer science ,Cost-Benefit Analysis ,Drug Resistance ,Genomics ,Computational biology ,030204 cardiovascular system & hematology ,Medical and Health Sciences ,DNA sequencing ,Vaccine Related ,Mycobacterium tuberculosis ,03 medical and health sciences ,Rare Diseases ,0302 clinical medicine ,General & Internal Medicine ,Genetics ,medicine ,Humans ,Tuberculosis ,Capital cost ,030212 general & internal medicine ,Cost–benefit analysis ,biology ,Human Genome ,Bacterial ,Reproducibility of Results ,High-Throughput Nucleotide Sequencing ,Extensively drug-resistant tuberculosis ,DNA ,General Medicine ,Multidrug-Resistant ,Amplicon ,biology.organism_classification ,medicine.disease ,3. Good health ,Emerging Infectious Diseases ,Infectious Diseases ,Good Health and Well Being ,Workflow ,Medicine ,Infection ,Sequence Analysis ,Multiple ,Biotechnology ,Research Article - Abstract
Background Accurate, comprehensive, and timely detection of drug-resistant tuberculosis (TB) is essential to inform patient treatment and enable public health surveillance. This is crucial for effective control of TB globally. Whole-genome sequencing (WGS) and targeted next-generation sequencing (NGS) approaches have potential as rapid in vitro diagnostics (IVDs), but the complexity of workflows, interpretation of results, high costs, and vulnerability of instrumentation have been barriers to broad uptake outside of reference laboratories, especially in low- and middle-income countries. A new, solid-state, tabletop sequencing instrument, Illumina iSeq100, has the potential to decentralize NGS for individual patient care. Methods and findings In this study, we evaluated WGS and targeted NGS for TB on both the new iSeq100 and the widely used MiSeq (both manufactured by Illumina) and compared sequencing performance, costs, and usability. We utilized DNA libraries produced from Mycobacterium tuberculosis clinical isolates for the evaluation. We conducted WGS on three strains and observed equivalent uniform genome coverage with both platforms and found the depth of coverage obtained was consistent with the expected data output. Utilizing the standardized, cloud-based ReSeqTB bioinformatics pipeline for variant analysis, we found the two platforms to have 94.0% (CI 93.1%–94.8%) agreement, in comparison to 97.6% (CI 97%–98.1%) agreement for the same libraries on two MiSeq instruments. For the targeted NGS approach, 46 M. tuberculosis–specific amplicon libraries had 99.6% (CI 98.0%–99.9%) agreement between the iSeq100 and MiSeq data sets in drug resistance–associated SNPs. The upfront capital costs are almost 5-fold lower for the iSeq100 ($19,900 USD) platform in comparison to the MiSeq ($99,000 USD); however, because of difference in the batching capabilities, the price per sample for WGS was higher on the iSeq100. For WGS of M. tuberculosis at the minimum depth of coverage of 30x, the cost per sample on the iSeq100 was $69.44 USD versus $28.21 USD on the MiSeq, assuming a 2 × 150 bp run on a v3 kit. In terms of ease of use, the sequencing workflow of iSeq100 has been optimized to only require 27 minutes total of hands-on time pre- and post-run, and the maintenance is simplified by a single-use cartridge–based fluidic system. As these are the first sequencing attempts on the iSeq100 for M. tuberculosis, the sequencing pool loading concentration still needs optimization, which will affect sequencing error and depth of coverage. Additionally, the costs are based on current equipment and reagent costs, which are subject to change. Conclusions The iSeq100 instrument is capable of running existing TB WGS and targeted NGS library preparations with comparable accuracy to the MiSeq. The iSeq100 has reduced sequencing workflow hands-on time and is able to deliver sequencing results in, Rebecca E. Colman and colleagues assess performance, cost, and throughput of a new sequencer designed for detecting drug-resistant tuberculosis strains., Author summary Why was this study done? M. tuberculosis is the leading cause of death from a single infectious agent. Diagnosis of drug-resistant M. tuberculosis is imperative for reducing tuberculosis (TB) mortality. Next-generation sequencing (NGS) can provide comprehensive genetic information on drug resistance for supporting rapid clinical decision-making but currently can only be performed at the reference-laboratory level. Illumina’s solid-state benchtop sequencer iSeq100 adds diversity to the intended use settings in which NGS can be practically utilized for drug-resistant TB detection, but it has not yet been demonstrated that existing TB NGS workflows will perform on the new instrument. What did the researchers do and find? The study was focused on the performance of existing TB whole-genome sequencing (WGS) and targeted NGS approaches that work on the Illumina MiSeq to determine if they could be also utilized on the iSeq100 platforms. WGS library preparations were performed on three strains, and the same libraries were run on two MiSeq instruments and one early-access iSeq100 instrument. The percentage of genome covered was similar across the instruments and the three isolates, ranging from 99.20% to 99.92% of the genome covered. Targeted NGS preparations were performed on 46 strains and run on two MiSeq instruments and one iSeq100 instrument with 99.6% (CI. 98.0%–99.9%) agreement on drug resistance–associated SNPs between iSeq100 and MiSeq data sets. Because of batching-based pricing constraints for TB sequencing, the sequencing cost per sample is higher on the iSeq100 platform than for the same coverage on the MiSeq when batched optimally. However, the iSeq100 allows for a more open-access workflow due to a lower number of samples being in one sequencing batch. This relationship is the same for WGS and targeted NGS, although the scale is different depending on the sequencing approach chosen. What do these findings mean? In settings of individualized TB care, lower throughput will drive a different need for batching, and the iSeq100, with its lower-throughput capabilities, has an advantage over MiSeq. However, in high-throughput settings such as reference laboratories, where sample batching can be optimized to minimize cost at the expense of workflow complexity and time, the MiSeq will make the most sense.
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- 2019
6. Genomic characterization of Parengyodontium americanum sp. nov
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Marcus de Melo Teixeira, Nathan P. Wiederhold, Bridget M. Barker, Heather L. Mead, Chandler C. Roe, Kamil Steczkiewicz, Sybren de Hoog, Anna Muszewska, Paul Keim, Sarah A. Ahmed, Leandro F. Moreno, Jason Travis, and Darrin Lemmer
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Proteomics ,Hypocreales ,Context (language use) ,Opportunistic Infections ,Biology ,Microbiology ,Genome ,Article ,Fungal Proteins ,03 medical and health sciences ,Genetics ,Humans ,Gene family ,Beauveria ,Gene ,Phylogeny ,030304 developmental biology ,Comparative genomics ,0303 health sciences ,Coccidioidomycosis ,030306 microbiology ,biology.organism_classification ,Cordyceps ,Genome, Fungal ,Isaria fumosorosea ,Cordycipitaceae - Abstract
Modern genome analysis and phylogenomic methods have increased the number of fungal species, as well as enhanced appreciation of the degree of diversity within the fungal kingdom. In this context, we describe a new Parengyodontium species, P. americanum, which is phylogenetically related to the opportunistic human fungal pathogen P. album. Five unusual fungal isolates were recovered from five unique and confirmed coccidioidomycosis patients, and these isolates were subsequently submitted to detailed molecular and morphological identification procedures to determine identity. Molecular and morphological diagnostic analyses showed that the isolates belong to the Cordycipitaceae. Subsequently, three representative genomes were sequenced and annotated, and a new species, P. americanum, was identified. Using various genomic analyses, gene family expansions related to novel compounds and potential for ability to grow in diverse habitats are predicted. A general description of the genomic composition of this newly described species and comparison of genome content with Beauveria bassiana, Isaria fumosorosea and Cordyceps militaris shows a shared core genome of 6371 genes, and 148 genes that appear to be specific for P. americanum. This work provides the framework for future investigations of this interesting fungal species.
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- 2020
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7. Cryptic Microheteroresistance Explains Mycobacterium tuberculosis Phenotypic Resistance
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Darrin Lemmer, Grant Theron, Elizabeth M. Streicher, John Z. Metcalfe, David M. Engelthaler, Rob Warren, Rebecca E. Colman, and Christopher J. Allender
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0301 basic medicine ,Pulmonary and Respiratory Medicine ,Sanger sequencing ,Primary culture ,030106 microbiology ,Respiratory System ,Drug Resistance ,Positive control ,Microbial Sensitivity Tests ,Critical Care and Intensive Care Medicine ,Medical and Health Sciences ,DNA sequencing ,Mycobacterium tuberculosis ,Vaccine Related ,03 medical and health sciences ,symbols.namesake ,Rare Diseases ,Biodefense ,Drug Resistance, Bacterial ,diagnostics ,Genetics ,Tuberculosis ,2.1 Biological and endogenous factors ,Aetiology ,Exome sequencing ,biology ,Drug resistant tuberculosis ,drug-resistant tuberculosis ,Prevention ,Bacterial ,food and beverages ,Original Articles ,biology.organism_classification ,Infectious Diseases ,Good Health and Well Being ,symbols ,HIV/AIDS ,next-generation sequencing ,Phenotypic resistance ,Antimicrobial Resistance ,Infection ,Sequence Analysis - Abstract
RationaleMinority drug-resistant Mycobacterium tuberculosis subpopulations can be associated with phenotypic resistance but are poorly detected by Sanger sequencing or commercial molecular diagnostic assays.ObjectivesTo determine the role of targeted next-generation sequencing in resolving these minor variant subpopulations.MethodsWe used single molecule overlapping reads (SMOR), a targeted next-generation sequencing approach that dramatically reduces sequencing error, to analyze primary cultured isolates phenotypically resistant to rifampin, fluoroquinolones, or aminoglycosides, but for which Sanger sequencing found no resistance-associated variants (RAVs) within respective resistance-determining regions (study group). Isolates also underwent single-colony selection on antibiotic-containing agar, blinded to sequencing results. As a positive control, isolates with multiple colocalizing chromatogram peaks were also analyzed (control group).Measurements and main resultsAmong 61 primary culture isolates (25 study group and 36 control group), SMOR described 66 (49%) and 45 (33%) of 135 total heteroresistant RAVs at frequencies less than 5% and less than 1% of the total mycobacterial population, respectively. In the study group, SMOR detected minor resistant variant subpopulations in 80% (n = 20/25) of isolates with no Sanger-identified RAVs (median subpopulation size, 1.0%; interquartile range, 0.2-3.9%). Single-colony selection on drug-containing media corroborated SMOR results for 90% (n = 18/20) of RAV-containing specimens, and the absence of RAVs in 60% (n = 3/5) of isolates. Overall, Sanger sequencing was concordant with SMOR for 77% (n = 53/69) of macroheteroresistant (5-95% total population), but only 5% of microheteroresistant (
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- 2017
8. The Northern Arizona SNP Pipeline (NASP): accurate, flexible, and rapid identification of SNPs in WGS datasets
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David Smith, Darrin Lemmer, John D. Gillece, Chandler C. Roe, Maliha Aziz, Charles H. D. Williamson, Jason Travis, Paul Keim, Kevin P. Drees, David M. Wagner, Crystal M. Hepp, Jason W. Sahl, David M. Engelthaler, Nathan D. Hicks, Elizabeth M. Driebe, and James M. Schupp
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Comparative genomics ,Whole genome sequencing ,Genetics ,Rapid identification ,NASP ,Pipeline (computing) ,SNP ,Single-nucleotide polymorphism ,Computational biology ,Biology ,Reference genome - Abstract
Whole genome sequencing (WGS) of bacteria is becoming standard practice in many laboratories. Applications for WGS analysis include phylogeography and molecular epidemiology, using single nucleotide polymorphisms (SNPs) as the unit of evolution. The Northern Arizona SNP Pipeline (NASP) was developed as a reproducible pipeline that scales well with the large amount of WGS data typically used in comparative genomics applications. In this study, we demonstrate how NASP compares to other tools in the analysis of two real bacterial genomics datasets and one simulated dataset. Our results demonstrate that NASP produces comparable, and often better, results to other pipelines, but is much more flexible in terms of data input types, job management systems, diversity of supported tools, and output formats. We also demonstrate differences in results based on the choice of the reference genome and choice of inferring phylogenies from concatenated SNPs or alignments including monomorphic positions. NASP represents a source-available, version-controlled, unit-tested method and can be obtained from tgennorth.github.io/NASP.
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- 2016
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9. Genomic Analysis of the Emergence and Rapid Global Dissemination of the Clonal Group 258 Klebsiella pneumoniae Pandemic
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Darrin Lemmer, Tom J. B. de Man, Chandler C. Roe, Duncan MacCannell, Brandon Kitchel, Elizabeth M. Driebe, David M. Engelthaler, J. Kamile Rasheed, Jolene Bowers, Paul Keim, and Brandi Limbago
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medicine.medical_specialty ,Klebsiella pneumoniae ,Molecular Sequence Data ,Porins ,lcsh:Medicine ,Locus (genetics) ,Evolution, Molecular ,03 medical and health sciences ,Antibiotic resistance ,Bacterial Proteins ,Phylogenetics ,Molecular genetics ,medicine ,Humans ,Genomic library ,lcsh:Science ,Pandemics ,Phylogeny ,030304 developmental biology ,Genetics ,0303 health sciences ,Multidisciplinary ,Base Sequence ,biology ,Phylogenetic tree ,030306 microbiology ,lcsh:R ,Pneumonia ,biology.organism_classification ,3. Good health ,Genetic marker ,Mutation ,lcsh:Q ,Genome, Bacterial ,Research Article - Abstract
Multidrug-resistant Klebsiella pneumoniae producing the KPC carbapenemase have rapidly spread throughout the world, causing severe healthcare-associated infections with limited antimicrobial treatment options. Dissemination of KPC-producing K. pneumoniae is largely attributed to expansion of a single dominant strain, ST258. In this study, we explore phylogenetic relationships and evolution within ST258 and its clonal group, CG258, using whole genome sequence analysis of 167 isolates from 20 countries collected over 17 years. Our results show a common ST258 ancestor emerged from its diverse parental clonal group around 1995 and likely acquired bla KPC prior to dissemination. Over the past two decades, ST258 has remained highly clonal despite diversity in accessory elements and divergence in the capsule polysaccharide synthesis locus. Apart from the large recombination event that gave rise to ST258, few mutations set it apart from its clonal group. However, one mutation occurs in a global transcription regulator. Characterization of outer membrane protein sequences revealed a profile in ST258 that includes a truncated OmpK35 and modified OmpK37. Our work illuminates potential genomic contributors to the pathogenic success of ST258, helps us better understand the global dissemination of this strain, and identifies genetic markers unique to ST258.
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- 2015
10. Genome Sequence of Staphylococcus aureus Strain CA-347, a USA600 Methicillin-Resistant Isolate
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Paal Skytt Andersen, Paul Keim, Chandler C. Roe, Elizabeth M. Driebe, Marc Stegger, David M. Engelthaler, Darrin Lemmer, and Jolene Bowers
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Genetics ,clone (Java method) ,Whole genome sequencing ,0303 health sciences ,education.field_of_study ,Lineage (genetic) ,030306 microbiology ,Strain (biology) ,Population ,Biology ,medicine.disease_cause ,Microbiology ,03 medical and health sciences ,Staphylococcus aureus ,Healthy individuals ,medicine ,Prokaryotes ,education ,Molecular Biology ,030304 developmental biology - Abstract
The Staphylococcus aureus clonal lineage CC45 is a predominant colonizer of healthy individuals in northern Europe and constitutes a highly basal cluster of the S. aureus population. Here, we report the complete genome sequence of S. aureus strain CA-347 (NRS648), a representative of the methicillin-resistant USA600 clone predominantly found in the United States.
- Published
- 2013
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