Martin Hugh-Jones
Louisiana State University
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Featured researches published by Martin Hugh-Jones.
Journal of Bacteriology | 2000
Paul Keim; Lance B. Price; A. M. Klevytska; K. L. Smith; James M. Schupp; Richard T. Okinaka; Paul J. Jackson; Martin Hugh-Jones
Bacillus anthracis is one of the most genetically homogeneous pathogens described, making strain discrimination particularly difficult. In this paper, we present a novel molecular typing system based on rapidly evolving variable-number tandem repeat (VNTR) loci. Multiple-locus VNTR analysis (MLVA) uses the combined power of multiple alleles at several marker loci. In our system, fluorescently labeled PCR primers are used to produce PCR amplification products from eight VNTR regions in the B. anthracis genome. These are detected and their sizes are determined using an ABI377 automated DNA sequencer. Five of these eight loci were discovered by sequence characterization of molecular markers (vrrC(1), vrrC(2), vrrB(1), vrrB(2), and CG3), two were discovered by searching complete plasmid nucleotide sequences (pXO1-aat and pXO2-at), and one was known previously (vrrA). MLVA characterization of 426 B. anthracis isolates identified 89 distinct genotypes. VNTR markers frequently identified multiple alleles (from two to nine), with Neis diversity values between 0.3 and 0.8. Unweighted pair-group method arithmetic average cluster analysis identified six genetically distinct groups that appear to be derived from clones. Some of these clones show worldwide distribution, while others are restricted to particular geographic regions. Human commerce doubtlessly has contributed to the dispersal of particular clones in ancient and modern times.
PLOS ONE | 2007
Matthew N. Van Ert; W. Ryan Easterday; Lynn Y. Huynh; Richard T. Okinaka; Martin Hugh-Jones; Jacques Ravel; Shaylan Zanecki; Talima Pearson; Tatum S. Simonson; Jana M. U'Ren; Sergey Kachur; Rebecca R. Leadem-Dougherty; Shane D. Rhoton; Guenevier Zinser; Jason Farlow; Pamala R. Coker; Kimothy L. Smith; Bingxiang Wang; Leo J. Kenefic; Claire M. Fraser-Liggett; David M. Wagner; Paul Keim
Anthrax, caused by the bacterium Bacillus anthracis, is a disease of historical and current importance that is found throughout the world. The basis of its historical transmission is anecdotal and its true global population structure has remained largely cryptic. Seven diverse B. anthracis strains were whole-genome sequenced to identify rare single nucleotide polymorphisms (SNPs), followed by phylogenetic reconstruction of these characters onto an evolutionary model. This analysis identified SNPs that define the major clonal lineages within the species. These SNPs, in concert with 15 variable number tandem repeat (VNTR) markers, were used to subtype a collection of 1,033 B. anthracis isolates from 42 countries to create an extensive genotype data set. These analyses subdivided the isolates into three previously recognized major lineages (A, B, and C), with further subdivision into 12 clonal sub-lineages or sub-groups and, finally, 221 unique MLVA15 genotypes. This rare genomic variation was used to document the evolutionary progression of B. anthracis and to establish global patterns of diversity. Isolates in the A lineage are widely dispersed globally, whereas the B and C lineages occur on more restricted spatial scales. Molecular clock models based upon genome-wide synonymous substitutions indicate there was a massive radiation of the A lineage that occurred in the mid-Holocene (3,064–6,127 ybp). On more recent temporal scales, the global population structure of B. anthracis reflects colonial-era importation of specific genotypes from the Old World into the New World, as well as the repeated industrial importation of diverse genotypes into developed countries via spore-contaminated animal products. These findings indicate humans have played an important role in the evolution of anthrax by increasing the proliferation and dispersal of this now global disease. Finally, the value of global genotypic analysis for investigating bioterrorist-mediated outbreaks of anthrax is demonstrated.
Journal of Applied Microbiology | 1999
Paul Keim; A. M. Klevytska; Lance B. Price; James M. Schupp; Guenevier Zinser; K. L. Smith; Martin Hugh-Jones; Richard T. Okinaka; Karen K. Hill; Paul J. Jackson
Molecular typing of Bacillus anthracis has been extremely difficult due to the lack of polymorphic DNA markers. We have identified nine novel variable number tandemly repeated loci from previously known amplified fragment length polymorphism markers or from the DNA sequence. In combination with the previously known vrrA locus, these markers provide discrimination power to genetically characterize B. anthracis isolates. The variable number tandem repeat (VNTR) loci are found in both gene coding (genic) and non‐coding (non‐genic) regions. The genic differences are ‘in frame’ and result in additions or deletion of amino acids to the predicted proteins. Due the rarity of molecular differences, the VNTR changes represent a significant portion of the genetic variation found within B. anthracis. This variation could represent an important adaptive mechanism. Marker similarity and differences among diverse isolates have identified seven major diversity groups that may represent the only world‐wide B. anthracis clones. The lineages reconstructed using these data may reflect the dispersal and evolution of this pathogen.
Journal of Applied Microbiology | 1999
Martin Hugh-Jones
While there is a general decrease in the number of anthrax outbreaks, and thus of human cases, worldwide this is still a disease that is extensively under‐diagnosed and under‐reported. However, it is now very infrequent to rare in Canada, the United States, and many countries in Europe. An increasing number of countries are now free. At the other extreme, it is a significant problem in West Africa, Spain, Greece, Turkey, Albania, Romania and in Central Asia. In spite of the textbooks, livestock and wildlife deaths do occur, sometimes commonly, without any ‘diagnostic’ extravasation of blood and, if not realised, infected carcasses get recycled into meat and bone meals for feed.
Journal of Clinical Microbiology | 2003
Pamala R. Coker; Kimothy L. Smith; Patricia F. Fellows; Galena Rybachuck; Konstantin G. Kousoulas; Martin Hugh-Jones
ABSTRACT Bacillus anthracis is a bacterial pathogen of great importance, both historically and in the present. This study presents data collected from several investigations and indicates that B. anthracis virulence is associated with the clonality and virulence of plasmids pXO1 and pXO2. Guinea pigs vaccinated with Anthrax Vaccine Adsorbed were challenged with 20 B. anthracis isolates representative of worldwide genetic diversity. These same isolates were characterized with respect to plasmid copy number by using a novel method of quantitative PCR developed for rapid and efficient detection of B. anthracis from environmental samples. We found that the copy numbers for both pXO1 and pXO2 differed from those in previously published reports. By combining the data on survival, plasmid copy numbers, and clonality, we developed a model predicting virulence. This model was validated by using a randomly chosen set of 12 additional B. anthracis isolates. Results from this study will be helpful in future efforts to elucidate the basis for variation in the virulence of this important pathogen.
PLOS ONE | 2010
Timothy Andrew Joyner; Larissa Lukhnova; Yerlan Pazilov; Gulnara Temiralyeva; Martin Hugh-Jones; Alim Aikimbayev; Jason K. Blackburn
Anthrax, caused by the bacterium Bacillus anthracis, is a zoonotic disease that persists throughout much of the world in livestock, wildlife, and secondarily infects humans. This is true across much of Central Asia, and particularly the Steppe region, including Kazakhstan. This study employed the Genetic Algorithm for Rule-set Prediction (GARP) to model the current and future geographic distribution of Bacillus anthracis in Kazakhstan based on the A2 and B2 IPCC SRES climate change scenarios using a 5-variable data set at 55 km2 and 8 km2 and a 6-variable BioClim data set at 8 km2. Future models suggest large areas predicted under current conditions may be reduced by 2050 with the A2 model predicting ∼14–16% loss across the three spatial resolutions. There was greater variability in the B2 models across scenarios predicting ∼15% loss at 55 km2, ∼34% loss at 8 km2, and ∼30% loss with the BioClim variables. Only very small areas of habitat expansion into new areas were predicted by either A2 or B2 in any models. Greater areas of habitat loss are predicted in the southern regions of Kazakhstan by A2 and B2 models, while moderate habitat loss is also predicted in the northern regions by either B2 model at 8 km2. Anthrax disease control relies mainly on livestock vaccination and proper carcass disposal, both of which require adequate surveillance. In many situations, including that of Kazakhstan, vaccine resources are limited, and understanding the geographic distribution of the organism, in tandem with current data on livestock population dynamics, can aid in properly allocating doses. While speculative, contemplating future changes in livestock distributions and B. anthracis spore promoting environments can be useful for establishing future surveillance priorities. This study may also have broader applications to global public health surveillance relating to other diseases in addition to B. anthracis.
Preventive Veterinary Medicine | 1984
John B. Malone; A.F. Loyacano; Martin Hugh-Jones; K.C. Corkum
Abstract Seasonal transmission data on sentinel calves, herd prevalence and snail population dynamics over a 3-year period indicate that major transmission of Fasciola hepatica to cattle occurs between February and July in Louisiana. Soil temperature and water budget were used as indicators of microhabitat suitability for development of snail populations and extra-mammalian stages of F. hepatica and were related to wide annual variation in fascioliasis risk.
Antimicrobial Agents and Chemotherapy | 2002
Pamala R. Coker; Kimothy L. Smith; Martin Hugh-Jones
ABSTRACT A test of 25 genetically diverse isolates of Bacillus anthracis was conducted to determine their susceptibility to seven clinically relevant antimicrobial agents. Etest strips (AB BIODISK, Solna, Sweden) were used to measure the MICs for the isolates. Using the National Committee for Clinical Laboratory Standards MIC breakpoints for staphylococci, three isolates were found to be resistant to penicillin and five were found to be resistant to cefuroxime. The penicillin-resistant isolates were negative for β-lactamase production. Continued surveillance of B. anthracis field isolates is recommended to monitor antimicrobial susceptibility.
Journal of Applied Microbiology | 1999
K. L. Smith; V. De Vos; H. B. Bryden; Martin Hugh-Jones; A. M. Klevytska; Lance B. Price; Paul Keim; D. T. Scholl
It has only recently been possible to detect sufficient genetic diversity among anthrax isolates to allow genotype grouping ( Keim et al. 1997 ). Early results of such grouping suggest that the southern African subcontinent may be the geographical origin of Bacillus anthracis. This report describes a pilot investigation of the genetic diversity of a study group of isolates from the Kruger National Park, South Africa, and efforts to detect spatio‐temporal clustering within the study group. This study has also served as further validation for the newly developed Multi‐Locus VNTR Analysis (MLVA), designed to simplify genotyping of B. anthracis isolates. The results reveal a diverse range of genotypes within the park allied with three genotype reference groups, and show that the MLVA procedure is robust for rapid analysis of B. anthracis genotypes. We also observed multiple genotype groups within epidemics and between geographically and temporally close epidemic episodes. This is in contrast to earlier characterizations of anthrax epidemics. The result of a Mantel test for time–space clustering indicates clustering of the anthrax isolates selected for the study.
Emerging Infectious Diseases | 2010
Alim M. Aikembayev; Larissa Lukhnova; Gulnara A. Temiraliyeva; T.V. Meka-Mechenko; Yerlan Pazylov; Sarkis Zakaryan; Georgiy Denissov; W. Ryan Easterday; Matthew N. Van Ert; Paul Keim; Stephen C. Francesconi; Jason K. Blackburn; Martin Hugh-Jones; Ted L. Hadfield
This study provides useful baseline data for guiding future disease control programs.