Jason D. Gans

A rapid multiplex assay for nucleic acid-based diagnostics

We have developed a rapid (under 4 hours), multiplex, nucleic acid assay, adapted to a microsphere array detection platform. We call this assay multiplex oligonucleotide ligation-PCR (MOL-PCR). Unlike other ligation-based assays that require multiple steps, our protocol consists of a single tube reaction, followed by hybridization to a Luminex microsphere array for detection. We demonstrate the ability of this assay to simultaneously detect diverse nucleic acid signatures (e.g., unique sequences, single nucleotide polymorphisms) in a single multiplex reaction. Detection probes consist of modular components that enable target detection, probe amplification, and subsequent capture onto microsphere arrays. To demonstrate the utility of our assay, we applied it to the detection of three biothreat agents, B. anthracis, Y. pestis, and F. tularensis. Combined with the ease and robustness of this assay, the results presented here show a strong potential of our assay for use in diagnostics and surveillance.

Steps toward broad-spectrum therapeutics: discovering virulence-associated genes present in diverse human pathogens.

BackgroundNew and improved antimicrobial countermeasures are urgently needed to counteract increased resistance to existing antimicrobial treatments and to combat currently untreatable or new emerging infectious diseases. We demonstrate that computational comparative genomics, together with experimental screening, can identify potential generic (i.e., conserved across multiple pathogen species) and novel virulence-associated genes that may serve as targets for broad-spectrum countermeasures.ResultsUsing phylogenetic profiles of protein clusters from completed microbial genome sequences, we identified seventeen protein candidates that are common to diverse human pathogens and absent or uncommon in non-pathogens. Mutants of 13 of these candidates were successfully generated in Yersinia pseudotuberculosis and the potential role of the proteins in virulence was assayed in an animal model. Six candidate proteins are suggested to be involved in the virulence of Y. pseudotuberculosis, none of which have previously been implicated in the virulence of Y. pseudotuberculosis and three have no record of involvement in the virulence of any bacteria.ConclusionThis work demonstrates a strategy for the identification of potential virulence factors that are conserved across a number of human pathogenic bacterial species, confirming the usefulness of this tool.

A robust PCR primer design platform applied to the detection of Acidobacteria Group 1 in soil

Environmental biosurveillance and microbial ecology studies use PCR-based assays to detect and quantify microbial taxa and gene sequences within a complex background of microorganisms. However, the fragmentary nature and growing quantity of DNA-sequence data make group-specific assay design challenging. We solved this problem by developing a software platform that enables PCR-assay design at an unprecedented scale. As a demonstration, we developed quantitative PCR assays for a globally widespread, ecologically important bacterial group in soil, Acidobacteria Group 1. A total of 33 684 Acidobacteria 16S rRNA gene sequences were used for assay design. Following 1 week of computation on a 376-core cluster, 83 assays were obtained. We validated the specificity of the top three assays, collectively predicted to detect 42% of the Acidobacteria Group 1 sequences, by PCR amplification and sequencing of DNA from soil. Based on previous analyses of 16S rRNA gene sequencing, Acidobacteria Group 1 species were expected to decrease in response to elevated atmospheric CO2. Quantitative PCR results, using the Acidobacteria Group 1-specific PCR assays, confirmed the expected decrease and provided higher statistical confidence than the 16S rRNA gene-sequencing data. These results demonstrate a powerful capacity to address previously intractable assay design challenges.

Genomorama: genome visualization and analysis

BackgroundThe ability to visualize genomic features and design experimental assays that can target specific regions of a genome is essential for modern biology. To assist in these tasks, we present Genomorama, a software program for interactively displaying multiple genomes and identifying potential DNA hybridization sites for assay design.ResultsUseful features of Genomorama include genome search by DNA hybridization (probe binding and PCR amplification), efficient multi-scale display and manipulation of multiple genomes, support for many genome file types and the ability to search for and retrieve data from the National Center for Biotechnology Information (NCBI) Entrez server.ConclusionGenomorama provides an efficient computational platform for visualizing and analyzing multiple genomes.

Simultaneous pathogen detection and antibiotic resistance characterization using SNP-based multiplexed oligonucleotide ligation-PCR (MOL-PCR).

Extensive use of antibiotics in both public health and animal husbandry has resulted in rapid emergence of antibiotic resistance in almost all human pathogens, including biothreat pathogens. Antibiotic resistance has thus become a major concern for both public health and national security. We developed multiplexed assays for rapid, simultaneous pathogen detection and characterization of ciprofloxacin and doxycycline resistance in Bacillus anthracis, Yersinia pestis, and Francisella tularensis. These assays are SNP-based and use Multiplexed Oligonucleotide Ligation-PCR (MOL-PCR). The MOL-PCR assay chemistry and MOLigo probe design process are presented. A web-based tool - MOLigoDesigner (http://MOLigoDesigner.lanl.gov) was developed to facilitate the probe design. All probes were experimentally validated individually and in multiplexed assays, and minimal sets of multiplexed MOLigo probes were identified for simultaneous pathogen detection and antibiotic resistance characterization.

APART: Automated Preprocessing for NMR Assignments with Reduced Tedium

MOTIVATION High-throughput NMR structure determination is a goal that will require progress on many fronts, one of which is rapid resonance assignment. An important rate-limiting step in the resonance assignment process is accurate identification of resonance peaks in the NMR spectra. Peak-picking schemes range from incomplete (which lose essential assignment connectivities) to noisy (which obscure true connectivities with many false ones). We introduce an automated preassignment process that removes false peaks from noisy peak lists by requiring consensus between multiple NMR experiments and exploiting a priori information about NMR spectra. This process is designed to accept multiple input formats and generate multiple output formats, in an effort to be compatible with a variety of user preferences. RESULTS Automated preprocessing with APART rapidly identifies and removes false peaks from initial peak lists, reduces the burden of manual data entry, and documents and standardizes the peak filtering process. Successful preprocessing is demonstrated by the increased number of correct assignments obtained when data are submitted to an automated assignment program. AVAILABILITY APART is available from http://sir.lanl.gov/NMR/APART.htm CONTACT npawley@lanl.gov; rmichalczyk@lanl.gov SUPPLEMENTARY INFORMATION Manual pages with installation instructions, procedures and screen shots can also be found at http://sir.lanl.gov/NMR/APART_Manual1.pdf.

Evaluation of DNA extraction methods to detect bacterial targets in aerosol samples

DNA-based monitoring of pathogens in aerosol samples requires extraction methods that provide high recovery of DNA. To identify a suitable method, we evaluated six DNA extraction methods for recovery of target-specific DNA from samples with four bacterial agents at low abundance (<10,000 genome copies per detection assay). These methods differed in rigor of cell disruption, approach for DNA capture, and extent of DNA purification. The six methods varied 1000-fold in the recovery of DNA from spores or cells of surrogates of Bacillus anthracis, Yersinia pestis, Burkholderia pseudomallei, and Francisella tularensis, each at about 105 CFU per sample. A custom method using paramagnetic Dynabeads for DNA capture greatly outperformed the other five methods. The cDynabead method provided about 80% recovery of target-specific DNA. The cDynabead method and a filtration method were further evaluated for DNA recovery from bacterial agents spiked on filters (c.a. 105 CFU of each agent per filter quadrant) that were subsequently used to collect background outdoor air particulates for 24-h. The filtration method generally failed to recover detectable quantities of target DNA from the spiked filters, suggesting at least a 100-fold loss of target DNA during extraction, whereas the custom cDynabead method consistently yielded DNA sufficient for target detection.