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The need for a rapid detection and characterization of biowarfare (BW) agents cannot be over emphasized. With diverse array of potential BW pathogen available presently, rapid identification of the pathogen is crucial, so that specific therapy and control measures can be initiated. We have developed a multiplex polymerase chain reaction based reverse line blot macroarray to simultaneously detect four pathogens of BW importance viz. Bacillus anthracis, Yersinia pestis, Brucella melitensis and Burkholderia pseudomallei. The multiplex PCR utilizes 14 pairs of primers targeting 18 specific markers. These markers include genes which are genus specific, species-specific chromosomal sequences and virulence markers of plasmid origin. The assay was evaluated on various human, environment and animal isolates. The assay w successful in simultaneous detection and characterization of isolates of the four pathogens on as a single platform with sensitivity ranging from 0.3 pg to 0.3 ng of genomic DNA. The assay was able to detect 5 × 10 cfu/ml for B. anthracis, 8 × 10 cfu/ml for Yersinia sp., 1.4 × 10 cfu/ml for B. melitensis and 4 × 10 cfu/ml for B. pseudomallei. [ABSTRACT FROM AUTHOR]

The ability to distinguish bacteria from mixed samples is of great interest, especially in the medical and defence arenas. This paper reports a step towards the aim of differentiating pathogenic endospores in situ, to aid any required response for hazard management using infrared spectroscopy combined with multivariate analysis. We describe a proof-of-principle study aimed at discriminating biological warfare simulants from common environmental bacteria. We also report an evaluation of multiple pre-processing techniques and subsequent differences in cross-validation of two pattern recognition models (Support Vector Machines and Principal Component-Linear Discriminant Analysis) for a six-class classification (bacterial classification). These classifications were possible with an average sensitivity of 88.0 and 86.9 %, and an average specificity of 97.6 and 97.5 % for the SVM and the PC-LDA models, respectively. Most spectroscopic models are built upon spectra from bacteria that have been specifically prepared for analysis by a particular method; this paper will comment upon the differences in the bacterial spectrum that occur between specific preparations when the bacteria have spent 30 days in the simulated weather conditions of a hot dry climate. [Figure not available: see fulltext.] [ABSTRACT FROM AUTHOR]

Anthrax, caused by the pathogenic bacterium Bacillus anthracis, is a zoonosis that causes serious disease and is of significant concern as a biological warfare agent. Validating annotated genes and reannotating misannotated genes are important to understand its biology and mechanisms of pathogenicity. Proteomics studies are, to date, the best method for verifying and improving current annotations. To this end, the proteome of B. anthracis A16R was analyzed via one-dimensional gel electrophoresis followed by liquid chromatography coupled with tandem mass spectrometry (LC-MS/MS). In total, we identified 3,712 proteins, including many regulatory and key functional proteins at relatively low abundance, representing the most complete proteome of B. anthracis to date. Interestingly, eight sequencing errors were detected by proteogenomic analysis and corrected by resequencing. More importantly, three unannotated peptide fragments were identified in this study and validated by synthetic peptide mass spectrum mapping and green fluorescent protein fusion experiments. These data not only give a more comprehensive understanding of B. anthracis A16R but also demonstrate the power of proteomics to improve genome annotations and determine true translational elements. [ABSTRACT FROM AUTHOR]