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Burkholderia ubonensis, a nonpathogenic soil bacterium belonging to the Burkholderia cepaciacomplex (Bcc), is highly resistant to some clinically significant antibiotics. The concern is that B. ubonensismay serve as a resistance reservoir for Bcc or B. pseudomalleicomplex (Bpc) organisms that are opportunistic human pathogens.

ABSTRACTHealth care-acquired infections (HAIs) kill tens of thousands of people each year and add significantly to health care costs. Multidrug-resistant and epidemic strains are a large proportion of HAI agents, and multidrug-resistant strains of Klebsiella pneumoniae, a leading HAI agent, have caused an urgent public health crisis. In the health care environment, patient colonization by K. pneumoniaeprecedes infection, and transmission via colonization leads to outbreaks. Periodic patient screening for K. pneumoniaecolonization has the potential to curb the number of HAIs. In this report, we describe the design and validation of KlebSeq, a highly informative screening tool that detects Klebsiellaspecies and identifies clinically important strains and characteristics by using highly multiplexed amplicon sequencing without a live-culturing step. We demonstrate the utility of this tool on several complex specimen types, including urine, wound swabs and tissue, and several types of respiratory and fecal specimens, showing K. pneumoniaespecies and clonal group identification and antimicrobial resistance and virulence profiling, including capsule typing. Use of this amplicon sequencing tool to screen patients for Klebsiellacarriage could inform health care staff of the risk of infection and outbreak potential. KlebSeq also serves as a model for next-generation molecular tools for public health and health care, as expansion of this tool can be used for several other HAI agents or applications.

The lack of published data on effective disinfectants and contact times for use on the fungal pathogens Coccidioides immitis andC. posadasii prompted the authors to investigate the fungicidal activity of three commonly used laboratory disinfectants on arthroconidia harvested fromC. immitis strain 2009. They tested the ability of 10% bleach, 70% ethanol, and Vesphene® IIse to inactivate 107arthroconidia in an aqueous suspension within 1, 2, 5, 10, or 20 minutes of contact time. Both 10% bleach and 70% ethanol provided a 7-log10reduction in arthroconidia in less than 1 minute, with no growth observed at any of the tested time points. Vesphene® IIse was less effective, providing a 6-log10reduction in arthroconidia after 5 minutes, but was unable to completely inactivate all of the arthroconidia, even after 20 minutes of contact time.

The lack of published data on effective disinfectants and contact times for use on the fungal pathogens Coccidioides immitis andC. posadasii prompted the authors to investigate the fungicidal activity of three commonly used laboratory disinfectants on arthroconidia harvested fromC. immitis strain 2009. They tested the ability of 10% bleach, 70% ethanol, and Vesphene® IIse to inactivate 107arthroconidia in an aqueous suspension within 1, 2, 5, 10, or 20 minutes of contact time. Both 10% bleach and 70% ethanol provided a 7-log10reduction in arthroconidia in less than 1 minute, with no growth observed at any of the tested time points. Vesphene® IIse was less effective, providing a 6-log10reduction in arthroconidia after 5 minutes, but was unable to completely inactivate all of the arthroconidia, even after 20 minutes of contact time.

ABSTRACTMelioidosis, a disease of public health importance in Southeast Asia and northern Australia, is caused by the Gram-negative soil bacillus Burkholderia pseudomallei. Melioidosis is typically acquired through environmental exposure, and case clusters are rare, even in regions where the disease is endemic. B. pseudomalleiis classed as a tier 1 select agent by the Centers for Disease Control and Prevention; from a biodefense perspective, source attribution is vital in an outbreak scenario to rule out a deliberate release. Two cases of melioidosis within a 3-month period at a residence in rural northern Australia prompted an investigation to determine the source of exposure. B. pseudomalleiisolates from the property's groundwater supply matched the multilocus sequence type of the clinical isolates. Whole-genome sequencing confirmed the water supply as the probable source of infection in both cases, with the clinical isolates differing from the likely infecting environmental strain by just one single nucleotide polymorphism (SNP) each. For the first time, we report a phylogenetic analysis of genomewide insertion/deletion (indel) data, an approach conventionally viewed as problematic due to high mutation rates and homoplasy. Our whole-genome indel analysis was concordant with the SNP phylogeny, and these two combined data sets provided greater resolution and a better fit with our epidemiological chronology of events. Collectively, this investigation represents a highly accurate account of source attribution in a melioidosis outbreak and gives further insight into a frequently overlooked reservoir of B. pseudomallei. Our methods and findings have important implications for outbreak source tracing of this bacterium and other highly recombinogenic pathogens.

Incident reporting is an important component of any biosafety program. Effective analysis of incident report data can be used to evaluate compliance with standard operating procedures (SOPs) and the safety of different procedures and laboratorians, with the overall goal of preventing future incidents. This study analyzed incident reports from a BSL-3 select agent facility over a 3-year period in conjunction with the number of hours worked in that facility over that same time period. The majority of incidents involved very small consequence events that occurred inside a biosafety cabinet. To a lesser degree, incidents involved compromised personal protective equipment (PPE), broken equipment, and failures to fully adhere to SOPs. A significant relationship was noted between the number of incidents and the number of hours worked in a particular time period (p<0.05). Trainees reported more incidents per hour worked than experienced laboratorians. These incident report analyses were formally presented to the laboratorians who worked in the facility in two training exercises. These trainings served to actively engage the laboratorians in the incident review process and led to the development of more effective mitigation strategies for preventing future incidents. Overall, this analysis serves as a model for incident tracking and analysis that could be adapted by other biocontainment facilities to address their unique incident tracking and analysis needs.

Incident reporting is an important component of any biosafety program. Effective analysis of incident report data can be used to evaluate compliance with standard operating procedures (SOPs) and the safety of different procedures and laboratorians, with the overall goal of preventing future incidents. This study analyzed incident reports from a BSL-3 select agent facility over a 3-year period in conjunction with the number of hours worked in that facility over that same time period. The majority of incidents involved very small consequence events that occurred inside a biosafety cabinet. To a lesser degree, incidents involved compromised personal protective equipment (PPE), broken equipment, and failures to fully adhere to SOPs. A significant relationship was noted between the number of incidents and the number of hours worked in a particular time period (p<0.05). Trainees reported more incidents per hour worked than experienced laboratorians. These incident report analyses were formally presented to the laboratorians who worked in the facility in two training exercises. These trainings served to actively engage the laboratorians in the incident review process and led to the development of more effective mitigation strategies for preventing future incidents. Overall, this analysis serves as a model for incident tracking and analysis that could be adapted by other biocontainment facilities to address their unique incident tracking and analysis needs.

ABSTRACTTwelve Burkholderia pseudomalleiisolates collected over a 32-month period from a patient with chronic melioidosis demonstrated identical multilocus sequence types (STs). However, whole-genome sequencing suggests a polyclonal infection. This study is the first to report a mixed infection with the same ST.

ABSTRACTA retrospective investigation was performed to evaluate whole-genome sequencing as a benchmark for comparing molecular subtyping methods for Salmonella entericaserotype Enteritidis and survey the population structure of commonly encountered S. entericaserotype Enteritidis outbreak isolates in the United States. A total of 52 S. entericaserotype Enteritidis isolates representing 16 major outbreaks and three sporadic cases collected between 2001 and 2012 were sequenced and subjected to subtyping by four different methods: (i) whole-genome single-nucleotide-polymorphism typing (WGST), (ii) multiple-locus variable-number tandem-repeat (VNTR) analysis (MLVA), (iii) clustered regularly interspaced short palindromic repeats combined with multi-virulence-locus sequence typing (CRISPR-MVLST), and (iv) pulsed-field gel electrophoresis (PFGE). WGST resolved all outbreak clusters and provided useful robust phylogenetic inference results with high epidemiological correlation. While both MLVA and CRISPR-MVLST yielded higher discriminatory power than PFGE, MLVA outperformed the other methods in delineating outbreak clusters whereas CRISPR-MVLST showed the potential to trace major lineages and ecological origins of S. entericaserotype Enteritidis. Our results suggested that whole-genome sequencing makes a viable platform for the evaluation and benchmarking of molecular subtyping methods.

ABSTRACTExserohilum rostratumwas the cause of most cases of fungal meningitis and other infections associated with the injection of contaminated methylprednisolone acetate produced by the New England Compounding Center (NECC). Until this outbreak, very few human cases of Exserohiluminfection had been reported, and very little was known about this dematiaceous fungus, which usually infects plants. Here, we report using whole-genome sequencing (WGS) for the detection of single nucleotide polymorphisms (SNPs) and phylogenetic analysis to investigate the molecular origin of the outbreak using 22 isolates of E. rostratumretrieved from 19 case patients with meningitis or epidural/spinal abscesses, 6 isolates from contaminated NECC vials, and 7 isolates unrelated to the outbreak. Our analysis indicates that all 28 isolates associated with the outbreak had nearly identical genomes of 33.8 Mb. A total of 8 SNPs were detected among the outbreak genomes, with no more than 2 SNPs separating any 2 of the 28 genomes. The outbreak genomes were separated from the next most closely related control strain by ~136,000 SNPs. We also observed significant genomic variability among strains unrelated to the outbreak, which may suggest the possibility of cryptic speciation in E. rostratum.

The COVID-19 pandemic has triggered the first widespread vaccination campaign against a coronavirus. Many vaccinated subjects are previously naive to SARS-CoV-2; however, almost all have previously encountered other coronaviruses (CoVs), and the role of this immunity in shaping the vaccine response remains uncharacterized. Here, we use longitudinal samples and highly multiplexed serology to identify mRNA-1273 vaccine-induced antibody responses against a range of CoV Spike epitopes, in both phylogenetically conserved and non-conserved regions. Whereas reactivity to SARS-CoV-2 epitopes shows a delayed but progressive increase following vaccination, we observe distinct kinetics for the endemic CoV homologs at conserved sites in Spike S2: these become detectable sooner and decay at later time points. Using homolog-specific antibody depletion and alanine-substitution experiments, we show that these distinct trajectories reflect an evolving cross-reactive response that can distinguish rare, polymorphic residues within these epitopes. Our results reveal mechanisms for the formation of antibodies with broad reactivity against CoVs.

ABSTRACTMelioidosis is a potentially fatal disease caused by the saprophytic bacterium Burkholderia pseudomallei. Resistance to gentamicin is generally a hallmark of B. pseudomallei, and gentamicin is a selective agent in media used for diagnosis of melioidosis. In this study, we determined the prevalence and mechanism of gentamicin susceptibility found in B. pseudomalleiisolates from Sarawak, Malaysian Borneo. We performed multilocus sequence typing and antibiotic susceptibility testing on 44 B. pseudomalleiclinical isolates from melioidosis patients in Sarawak district hospitals. Whole-genome sequencing was used to identify the mechanism of gentamicin susceptibility. A novel allelic-specific PCR was designed to differentiate gentamicin-sensitive isolates from wild-type B. pseudomallei. A reversion assay was performed to confirm the involvement of this mechanism in gentamicin susceptibility. A substantial proportion (86%) of B. pseudomalleiclinical isolates in Sarawak, Malaysian Borneo, were found to be susceptible to the aminoglycoside gentamicin, a rare occurrence in other regions where B. pseudomalleiis endemic. Gentamicin sensitivity was restricted to genetically related strains belonging to sequence type 881 or its single-locus variant, sequence type 997. Whole-genome sequencing identified a novel nonsynonymous mutation within amrB, encoding an essential component of the AmrAB-OprA multidrug efflux pump. We confirmed the role of this mutation in conferring aminoglycoside and macrolide sensitivity by reversion of this mutation to the wild-type sequence. Our study demonstrates that alternative B. pseudomalleiselective media without gentamicin are needed for accurate melioidosis laboratory diagnosis in Sarawak. This finding may also have implications for environmental sampling of other locations to test for B. pseudomalleiendemicity.

ABSTRACTMelioidosis is an emerging infectious disease caused by the soil bacterium Burkholderia pseudomallei. In diagnostic and forensic settings, molecular detection assays need not only high sensitivity with low limits of detection but also high specificity. In a direct comparison of published and newly developed TaqMan PCR assays, we found the TTS1-orf2assay to be superior in detecting B. pseudomalleidirectly from clinical specimens. The YLF/BTFC multiplex assay (targeting the Yersinia-like fimbrial/Burkholderia thailandensis-like flagellum and chemotaxis region) also showed high diagnostic sensitivity and provides additional information on possible geographic origin.

ABSTRACTCyclopropavir (CPV) is active against human cytomegalovirus (CMV), as well as both variants of human herpesvirus 6 and human herpesvirus 8. The mechanism of action of CPV against CMV is similar to that of ganciclovir (GCV) in that it is phosphorylated initially by the CMV UL97 kinase, resulting in inhibition of viral DNA synthesis. Resistance to CPV maps to the UL97 kinase but is associated primarily with H520Q mutations and thus retains good antiviral activity against most GCV-resistant isolates. An examination of CMV-infected cultures treated with CPV revealed unusual cell morphology typically associated with the absence of UL97 kinase activity. A surrogate assay for UL97 kinase activity confirmed that CPV inhibited the activity of this enzyme and that its action was similar to the inhibition seen with maribavir (MBV) in this assay. Combination studies using real-time PCR indicated that, like MBV, CPV also antagonized the efficacy of GCV and were consistent with the observed inhibition of the UL97 kinase. Deep sequencing of CPV-resistant laboratory isolates identified a frameshift mutation in UL27, presumably to compensate for a loss of UL97 enzymatic activity. We conclude that the mechanism of action of CPV against CMV is complex and involves both the inhibition of DNA synthesis and the inhibition of the normal activity of the UL97 kinase.

OBJECTIVE To characterize bacterial microbiota in middle ear, adenoid, and tonsil specimens using 16SrRNA gene-based pyrosequencing analysis. DESIGN Cross-sectional study of bacterial microbiota in middle ear, adenoid, and tonsil specimens from a pediatric patient with chronic serous otitis media. Middle ear, adenoid, and tonsil specimens from a pediatric patient were collected and underwent cell lysis and DNA isolation. Pyrosequencing was performed on the 454 Life Sciences GS FLX platform (Roche Diagnostics Corp, Branford, Connecticut). Pyrosequencing data were processed, quality-checked, and taxonomically classified to generate an abundance-based matrix. Ecological analyses were performed. SETTING Academic, tertiary referral center. MAIN OUTCOME MEASURES Comparative microbiome analysis. RESULTS We detected a total of 17 unique bacterial families, with 9, 9, and 12 bacterial families from the middle ear, tonsil, and adenoid specimens, respectively. Pseudomonadaceae dominated the middle ear microbiota at 82.7% relative abundance, whereas Streptococcaceae dominated the tonsil microbiota at 69.2%. Multiple bacteria, including Pseudomonadaceae, Streptococcaceae, Fusobacteriaceae, and Pasteurellaceae, dominated the adenoid microbiota. Overlap between the middle ear and the tonsil microbiota was minimal. In contrast, the adenoid microbiota encompassed bacteria detected from middle ear and tonsil. CONCLUSIONS Bacterial community analysis using pyrosequencing analysis revealed diverse, previously unknown bacterial communities in a set of pediatric middle ear, tonsil, and adenoid specimens. Our findings suggest that the adenoid may be a source site for both the middle ear and tonsil microbiota. An ecological framework is appropriate in comparative analysis of microbiota from nonsterile body sites.

One of the biggest challenges in the effort to treat and contain influenza A virus infections is the emergence of resistance during treatment. It is well documented that resistance to amantadine arises rapidly during the course of treatment due to mutations in the gene coding for the M2 protein. To address this problem, it is critical to develop experimental systems that can accurately model the selection of resistance under drug pressure as seen in humans. We used the hollow-fiber infection model (HFIM) system to examine the effect of amantadine on the replication of influenza virus, A/Albany/1/98 (H3N2), grown in MDCK cells. At 24 and 48 h postinfection, virus replication was inhibited in a dose-dependent fashion. At 72 and 96 h postinfection, virus replication was no longer inhibited, suggesting the emergence of amantadine-resistant virus. Sequencing of the M2 gene revealed that mutations appeared at between 48 and 72 h of drug treatment and that the mutations were identical to those identified in the clinic for amantadine-resistant viruses (e.g., V27A, A30T, and S31N). Interestingly, we found that the type of mutation was strongly affected by the dose of the drug. The data suggest that the HFIM is a good model for influenza virus infection and resistance generation in humans. The HFIM has the advantage of being a highly controlled system where multiplicity parameters can be directly and accurately controlled and measured.

ABSTRACTOne of the biggest challenges in the effort to treat and contain influenza A virus infections is the emergence of resistance during treatment. It is well documented that resistance to amantadine arises rapidly during the course of treatment due to mutations in the gene coding for the M2 protein. To address this problem, it is critical to develop experimental systems that can accurately model the selection of resistance under drug pressure as seen in humans. We used the hollow-fiber infection model (HFIM) system to examine the effect of amantadine on the replication of influenza virus, A/Albany/1/98 (H3N2), grown in MDCK cells. At 24 and 48 h postinfection, virus replication was inhibited in a dose-dependent fashion. At 72 and 96 h postinfection, virus replication was no longer inhibited, suggesting the emergence of amantadine-resistant virus. Sequencing of the M2 gene revealed that mutations appeared at between 48 and 72 h of drug treatment and that the mutations were identical to those identified in the clinic for amantadine-resistant viruses (e.g., V27A, A30T, and S31N). Interestingly, we found that the type of mutation was strongly affected by the dose of the drug. The data suggest that the HFIM is a good model for influenza virus infection and resistance generation in humans. The HFIM has the advantage of being a highly controlled system where multiplicity parameters can be directly and accurately controlled and measured.

ABSTRACTThe recurring emergence of influenza virus strains that are resistant to available antiviral medications has become a global health concern, especially in light of the potential for a new influenza virus pandemic. Currently, virtually all circulating strains of influenza A virus in the United States are resistant to either of the two major classes of anti-influenza drugs (adamantanes and neuraminidase inhibitors). Thus, new therapeutic approaches that can be rapidly deployed and that will address the issue of recurring resistance should be developed. We have tested double and triple combinations of the approved anti-influenza drugs oseltamivir and amantadine together with ribavirin against three influenza virus strains using cytopathic effect inhibition assays in MDCK cells. We selected A/New Caledonia/20/99 (H1N1) and A/Sydney/05/97 (H3N2) as representatives of the wild-type versions of the predominant circulating seasonal influenza virus strains and A/Duck/MN/1525/81 (H5N1) as a representative of avian influenza virus strains. Dose-response curves were generated for all drug combinations, and the degree of drug interaction was quantified using a model that calculates the synergy (or antagonism) between the drugs in double and triple combinations. This report demonstrates that a triple combination of antivirals was highly synergistic against influenza A virus. Importantly, the synergy of the triple combination was 2- to 13-fold greater than the synergy of any double combination depending on the influenza virus subtype. These data support the investigation of a novel combination of oseltamivir, amantadine, and ribavirin as an effective treatment for both seasonal and pandemic influenza virus, allowing the efficient use of the existing drug supplies.

ABSTRACTBrucellaspecies are highly monomorphic, with minimal genetic variation among species, hindering the development of reliable subtyping tools for epidemiologic and phylogenetic analyses. Our objective was to compare two distinct multiple-locus variable-number tandem-repeat analysis (MLVA) subtyping methods on a collection of 101 Brucella melitensisisolates from sporadic human cases of brucellosis in Egypt (n= 83), Qatar (n= 17), and Libya (n= 1). A gel-based MLVA technique, MLVA-15IGM, was compared to an automated capillary electrophoresis-based method, MLVA-15NAU, with each MLVA scheme examining a unique set of variable-number tandem repeats. Both the MLVAIGMand MLVANAUmethods were highly discriminatory, resolving 99 and 101 distinct genotypes, respectively, and were able to largely separate genotypes from Egypt and Qatar. The MLVA-15NAUscheme presented higher strain-to-strain diversity in our test population than that observed with the MLVA-15IGMassay. Both schemes were able to genetically correlate some strains originating from the same hospital or region within a country. In addition to comparing the genotyping abilities of these two schemes, we also compared the usability, limitations, and advantages of the two MLVA systems and their applications in the epidemiological genotyping of human B. melitensisstrains.

We present TaqMan-minor groove binding (MGB) assays for an SNP that separates the Yersinia pestis strain CO92 from all other strains and for another SNP that separates North American strains from all other global strains.

ABSTRACTMembers of the genus Brucellaare known worldwide as pathogens of wildlife and livestock and are the most common organisms of zoonotic infection in humans. In general, brucellae exhibit a range of host specificity in animals that has led to the identification of at least seven Brucellaspecies. The genomes of the various Brucellaspecies are highly conserved, which makes the differentiation of species highly challenging. However, we found single-nucleotide polymorphisms (SNPs) in housekeeping and other genes that differentiated the seven main Brucellaspecies or clades and thus enabled us to develop real-time PCR assays based around these SNPs. Screening of a diverse panel of 338 diverse isolates with these assays correctly identified each isolate with its previously determined Brucellaclade. Six of the seven clade-specific assays detected DNA concentrations of less than 10 fg, indicating a high level of sensitivity. This SNP-based approach places samples into a phylogenetic framework, allowing reliable comparisons to be made among the lineages of clonal bacteria and providing a solid basis for genotyping. These PCR assays provide a rapid and highly sensitive method of differentiating the major Brucellagroups that will be valuable for clinical and forensic applications.

VNTRs are able to discriminate among closely related isolates of recently emerged clonal pathogens, including Yersinia pestis the etiologic agent of plague, because of their great diversity. Diversity is driven largely by mutation but little is known about VNTR mutation rates, factors affecting mutation rates, or the mutational mechanisms. The molecular epidemiological utility of VNTRs will be greatly enhanced when this foundational knowledge is available. Here, we measure mutation rates for 43 VNTR loci in Y. pestis using an in vitro generated population encompassing ∼96,000 generations. We estimate the combined 43-locus rate and individual rates for 14 loci. A comparison of Y. pestis and Escherichia coli O157:H7 VNTR mutation rates and products revealed a similar relationship between diversity and mutation rate in these two species. Likewise, the relationship between repeat copy number and mutation rate is nearly identical between these species, suggesting a generalized relationship that may be applicable to other species. The single- versus multiple-repeat mutation ratios and the insertion versus deletion mutation ratios were also similar, providing support for a general model for the mutations associated with VNTRs. Finally, we use two small sets of Y. pestis isolates to show how this general model and our estimated mutation rates can be used to compare alternate phylogenies, and to evaluate the significance of genotype matches, near-matches, and mismatches found in empirical comparisons with a reference database.

ABSTRACTHighly precise diagnostics and forensic assays can be developed through a combination of evolutionary analysis and the exhaustive examination of genomic sequences. In Bacillus anthracis, whole-genome sequencing efforts revealed ca. 3,500 single-nucleotide polymorphisms (SNPs) among eight different strains and evolutionary analysis provides the identification of canonical SNPs. We have previously shown that SNPs are highly evolutionarily stable, and the clonal nature of B. anthracismakes them ideal signatures for subtyping this pathogen. Here we identified SNPs that define the lineage of B. anthracisthat contains the Ames strain, the strain used in the 2001 bioterrorist attacks in the United States. Sequencing and real-time PCR were used to validate these SNPs across B. anthracisstrains, including (i) 88 globally and genetically diverse isolates; (ii) isolates that were shown to be genetic relatives of the Ames strain by multiple-locus variable number tandem repeat analysis (MLVA); and (iii) several different lab stocks of the Ames strain, including a clinical isolate from the 2001 letter attack. Six SNPs were found to be highly specific for the Ames strain; four on the chromosome, one on the pX01 plasmid, and one on the pX02 plasmid. All six SNPs differentiated the B. anthracisAmes strain from the 88 unique B. anthracisstrains, while five of the six separated Ames from its close genetic relatives. The use of these SNPs coupled with real-time PCR allows specific and sensitive (<100 fg of template DNA) identification of the Ames strain. This evolutionary and genomics-based approach provides an effective means for the discovery of strain-specific SNPs in B. anthracis.

ABSTRACTWe genotyped 15 Bacillus anthracisisolates from Chad, Africa, using multiple-locus variable-number tandem repeat analysis and three additional direct-repeat markers. We identified two unique genotypes that represent a novel genetic lineage in the A cluster. Chadian isolates were susceptible to 11 antibiotics and free of 94 antibiotic resistance genes.

ABSTRACTA TaqMan allelic-discrimination assay designed around a synonymous single-nucleotide polymorphism was used to genotype Burkholderia pseudomalleiand Burkholderia malleiisolates. The assay rapidly identifies and discriminates between these two highly pathogenic bacteria and does not cross-react with genetic near neighbors, such as Burkholderia thailandensisand Burkholderia cepacia.

ABSTRACTWe used multiple-locus variable-number tandem repeat analysis (MLVA) to type 64 Bacillus anthracisisolates from outbreaks that have occurred during the past 40 years in Italy. MLVA of the 64 isolates revealed 10 unique genotypes; 9 of these genotypes and the majority of isolates (63/64) belonged to the previously described genetic cluster A1.a. Within the A1.a isolates, two previously described genotypes (G1 and G3), which differ by a single mutation in the pX01 locus, account for the majority of isolates in the country (53/63). The low diversity of B. anthracisgenotypes in Italy suggests a single, dominant historical introduction, followed by limited localized differentiation.

Single nucleotide polymorphisms (SNPs) are increasingly recognized as important diagnostic markers for the detection and differentiation ofBacillus anthracis. The use ofSNP markers for identifying B. anthracisDNA in environmental samples containing genetically similar bacteria requires the ability to amplify and detect DNA with single nucleotide specificity. We designed a TaqMan® mismatch amplification mutation assay (TaqMAMA) around a SNP in the plcRgene ofB. anthracis. The assay permits specific, low-level detection (25fg DNA) of this B. anthracis-specific SNP, even in the presence of environmental DNA extracts containing a 20,000-fold excess of the alternate allele. We anticipate that the ability to selectively amplify and detect low copy number DNAs with single nucleotide specificity will represent a valuable tool in the arena ofbiodefense and microbialforensics.

ABSTRACTYersinia pestis, the etiologic agent of plague, has shaped the course of human history, killing millions of people in three major pandemics. This bacterium is still endemic in parts of Asia, Africa, and the Americas, where it poses a natural disease threat to human populations. Y. pestishas also recently received attention as a possible bioterrorism agent. Thus, rapid methods to distinguish between bioterrorism and naturally occurring plague infections are of major importance. Our study is the first to demonstrate that variable-number tandem repeats (VNTRs) in the Y. pestisgenome can link human case isolates to those obtained from suspected environmental sources of infection. We demonstrate the valuable utility of VNTR markers in epidemiological investigations of naturally occurring plague and the forensic analysis of possible bioterrorism events.

Epidemiological and forensic analyses of bioterrorism events involving Bacillus anthraciscould be improved if both variable number tandem repeats (VNTRs) and single nucleotide polymorphisms (SNPs) could be combined on a single analysis platform. Here we present the use of electrospray ionization Fourier transform ion cyclotron resonance mass spectrometry (ESI-FTICR-MS) to characterize 24 alleles from 6 VNTR loci and 11 alleles from 7 SNP loci in B. anthracis. The results obtained with ESI-FTICRMS were consistent with independent results obtained from traditional approaches using electrophoretic detection of fluorescent products. However, ESI-FTICR-MS improves on the traditional approaches because it does not require fluorescent labeling of PCR products, minimizes post-PCR processing, obviates electrophoresis, and provides unambiguous base composition of both SNP and VNTR PCR products. In addition, ESI-FTICR-MS allows both marker types to be examined simultaneously and at a rate of approximately 1 sample per min. This technology represents a significant advance in our ability to rapidly characterize B. anthracisisolates using VNTR and SNP loci.

ABSTRACTMolecular epidemiological tools for genotyping clinical isolates of Mycobacterium tuberculosishave been developed and used to help track and contain transmission of tuberculosis. We identified 87 short sequence repeat loci within the genome of the M. tuberculosisH37Rv strain. Nine tandem repeats were found to be variable (variable-number tandem repeats [VNTRs]) in a set of 91 isolates. Fifty-seven of the isolates had only four IS6110bands. The other 34 isolates were members of the Beijing strain family. The number of alleles of each these nine VNTRs was determined by examining each isolate. Six of the loci (Mtb-v1, -v4, -v10, -v15, -v18, and -v20) were able to differentiate the Beijing spoligotype identical isolates into seven distinct genotypes. Five of the loci (Mtb-v3, -v5, -v6, -v10, and -v15) were informative in discriminating the four-band IS6110restriction fragment length polymorphism isolates from each other. The Nei's diversity values of each marker ranged from 0.02 to 0.59, with the number of alleles ranging from two to eight across the entire strain set. These nine loci provide a useful, discriminatory extension of VNTR typing methods for application to molecular epidemiologic studies of M. tuberculosis.

ABSTRACTMutants of attenuated Bacillus anthraciswith high-level ciprofloxacin resistance were isolated using a three-step in vitro selection. Ciprofloxacin MICs were 0.5 μg/ml for first-step mutants, which had one of two gyrAquinolone resistance-determining region (QRDR) mutations. Ciprofloxacin MICs were 8 and 16 μg/ml for second-step mutants, which had one of three parCQRDR mutations. Ciprofloxacin MICs for third-step mutants were 32 and 64 μg/ml. Mutants for which MICs were 64 μg/ml had one of two additional mutations within the gyrAQRDR or one of two mutations within the gyrBQRDR. Mutants for which MICs were 32 μg/ml had no additional target modifications but showed evidence of enhanced ciprofloxacin efflux.

ABSTRACTHuman Lyme borreliosis (LB) is the most prevalent arthropod-borne infection in temperate climate zones around the world and is caused by Borreliaspirochetes. We have identified 10 variable-number tandem repeat (VNTR) loci present within the genome of Borrelia burgdorferiand subsequently developed a multiple-locus VNTR analysis (MLVA) typing system for this disease agent. We report here the successful application of MLVA for strain discrimination among a group of 41 globally diverse Borreliaisolates including B. burgdorferi, B. afzelii, and B. garinii. PCR assays displayed diversity at these loci, with total allele numbers ranging from two to nine and Nei's diversity (D) values ranging from 0.10 to 0.87. The average Dvalue was 0.53 across all VNTR loci. A clear correlation exists between the repeat copy number and the Dvalue (r= 0.62) or the number of alleles (r= 0.93) observed across diverse strains. Cluster analysis by the unweighted pair-group method with arithmetic means resolved the 30 observed unique Borreliagenotypes into five distinct groups. B. burgdorferi, B. afzelii, and B. gariniiclustered into distinct affiliations, consistent with current 16S rRNA phylogeny studies. Genetic similarity and diversity suggest that B. afzeliiand B. gariniiare close relatives and were perhaps recently derived from B. burgdorferi. MLVA provides both phylogenetic relationships and additional resolution to discriminate among strains of Borreliaspecies. This new level of strain identification and discrimination will allow more detailed epidemiological and phylogenetic analysis in future studies.

ABSTRACTFrancisella tularensis, the etiological agent of tularemia, is found throughout the Northern hemisphere. After analyzing the F. tularensisgenomic sequence for potential variable-number tandem repeats (VNTRs), we developed a multilocus VNTR analysis (MLVA) typing system for this pathogen. Variation was detected at six VNTR loci in a set of 56 isolates from California, Oklahoma, Arizona, and Oregon and the F. tularensislive vaccine strain. PCR assays revealed diversity at these loci with total allele numbers ranging from 2 to 20, and Nei's diversity index values ranging from 0.36 to 0.93. Cluster analysis identified two genetically distinct groups consistent with the current biovar classification system ofF. tularensis. These findings suggest that these VNTR markers are useful for identifying F. tularensisisolates at this taxonomic level. In this study, biovar B isolates were less diverse than those in biovar A, possibly reflecting the history of tularemia in North America. Seven isolates from a recent epizootic in Maricopa County, Ariz., were identical at all VNTR marker loci. Their identity, even at a hypervariable VNTR locus, indicates a common source of infection. This demonstrates the applicability of MLVA for rapid characterization and identification of outbreak isolates. Future construction of reference databases will allow faster outbreak tracking as well as providing a foundation for deciphering global genetic relationships.

ABSTRACTYersinia pestis, the infamous plague-causing pathogen, appears to have emerged in relatively recent history. Evidence of this fact comes from several studies that document a lack of nucleotide diversity in the Y. pestisgenome. In contrast, we report that variable-number tandem repeat (VNTR) sequences are common in the Y. pestisgenome and occur frequently in gene coding regions. Larger tandem repeat arrays, most useful for phylogenetic analysis, are present at an average of 2.18 arrays per 10 kbp and are distributed evenly throughout the genome and the two virulence plasmids, pCD1 and pMT1. We examined allelic diversity at 42 chromosomal VNTR loci in 24 selected isolates (12 globally distributed and 12 from Siskiyou County, Calif.). Vast differences in diversity were observed among the 42 VNTR loci, ranging from 2 to 11 alleles. We found that the maximum copy number of repeats in an array was highly correlated with diversity (R= 0.86). VNTR-based phylogenetic analysis of the 24 strains successfully grouped isolates from biovar orientalis and most of the antiqua and mediaevalis strains. Hence, multiple-locus VNTR analysis (MLVA) appears capable of both distinguishing closely related strains and successfully classifying more distant relationships. Harnessing the power of MLVA to establish standardized databases will enable researchers to better understand plague ecology and evolution around the world.

Abstract: We used fluorescence in situ hybridization to identify and map the position of B chromosomes (supernumerary chromosomes) within maize sperm cells. Observations on over 1,000 sperm cells from several genotypes show that, on average, the B chromosomes are positioned in the tip one-fourth of the sperm nucleus two-thirds of the time. In contrast, the centromeres and knobs of the A chromosomes (the normal set) are not restricted to the tip portion of the nucleus. To our knowledge, this is the first example of specific chromosome positioning within a plant gamete. Studies on nuclear architecture of somatic cells in both plants and animals suggest that chromosome behavior and gene expression may correlate with chromosome position within the nucleus. The functional significance of nonrandom positioning of the B chromosomes within maize sperm is as yet unclear.

Amplification fragment-length polymorphism (AFLP) analysis has proven to be a powerful tool for developing a large number of reliable genetic markers across a wide variety of organisms. Often it is desirable to further characterize these markers by obtaining internal and flanking sequence information. Here, we present a systematic approach for obtaining such information from AFLP markers. AFLP fragments can be isolated from dried polyacryamide sequencing gels (that have been stored for extended periods of time), amplified using PCR and subjected to sequence analysis. Outwardly oriented locus-specific primers are designed from the internal sequence and used in conjunction with adapter primers to amplify unknown regions that flank the internal sequence from up to 22 different restriction-ligation (R-L) reactions. This often results in multiple reactions yielding products of appropriate size and specificity for direct sequencing without the need for a nested PCR, extensive gel purification or subcloning. The detailed protocol is presented with PCR results from a variable AFLP fragment from Bacillus anthracis.

Abstract: A simple DNA extraction method based on CTAB precipitation was used to obtain DNA from members of the genusSaccharum and related species. DNA yields and purities were similar for allSaccharum species sampled. The method described here resulted in high quality total DNA suitable for polymerase chain reaction (PCR)-based techniques as well as restriction endonuclease digestion, Southern hybridization, and DNA cycle-sequencing.

Abstract: Short single-copy probes have been widely used in plant molecular biology. However, they have rarely been effective in plant research usingin situ hybridization techniques, possibly due to limitations imposed by the cell wall. We recently developed two fluorescencein situ hybridization protocols for the single-copy sequence detection in soybean. By enzymatically removing the cell wall, single-copy sequences as short as 1 kb were detected by probes using standard fluorescencein situ hybridization or PCR-primedin situ hybridization (PCR-PRINS). Such technology is useful for genome analysis, in plant molecular, cellular, and biotechnological research.

Soybean is believed to be a diploidized tetraploid generated from an allotetraploid ancestor. In this study, we used hypomethylated genomic DNA as a source of probes to investigate the genomic structure and methylation patterns of duplicated sequences. Forty-five genomic clones from Phaseolus vulgaris and 664 genomic clones from Glycine max were used to examine the duplicated regions in the soybean genome. Southern analysis of genomic DNA using probes from both sources revealed that greater than 15% of the hypomethylated genomic regions were only present once in the soybean genome. The remaining ca. 85% of the hypomethylated regions comprise duplicated or middle repetitive DNA sequences. If only the ratio of single to duplicate probe patterns is considered, it appears that 25% of the single-copy sequences have been lost. By using a subset of probes that only detected duplicated sequences, we examined the methylation status of the homeologous genomes with the restriction enzymes MspI and HpaII. We found that in all cases both copies of these regions were hypomethylated, although there were examples of low-level methylation. It appears that duplicate sequences are being eliminated in the diploidization process. Our data reveal no evidence that duplicated sequences are being “silenced” by inactivation correlated with methylation patterns.

Summary DNA from the kangaroo rat,Dipodomys ordii, contains a 3.3-kb, highly repeated sequence that is interspersed throughout the genome in small tandem clusters. One 3.3-kb unit has been cloned into pBR322 and the nucleotide sequence determined. The clone used was shown to be representative of the bulk of such sequences found in the genomic DNA. The sequence contains 10 homologous subunits each ca. 260 bp in length. Comparison of these to one another yielded a 258-bp consensus sequence containing a 35-bp terminal inverted repeat. Two unique stretches also occur. One of these contains a region that could serve as a promoter for RNA polymerase III; the other contains a sequence related to the ARS sequences of yeast. It is proposed that an ancestral sequence similar to the consensus sequence was amplified to 10 or more units, and that, subsequently, two other sequences were inserted. The properties of these insertions may have led to the dispersal of the sequence throughout the genome.