The potential of TaqMan Array Cards for detection of multiple biological agents by real-time PCR.

The TaqMan Array Card architecture, normally used for gene expression studies, was evaluated for its potential to detect multiple bacterial agents by real-time PCR. Ten PCR assays targeting five biological agents (Bacillus anthracis, Burkholderia mallei, Burkholderia pseudomallei, Francisella tularensis, and Yersinia pestis) were incorporated onto Array Cards. A comparison of PCR performance of each PCR in Array Card and singleplex format was conducted using DNA extracted from pure bacterial cultures. When 100 fg of agent DNA was added to Array Card channels the following levels of agent detection (where at least one agent PCR replicate returned a positive result) were observed: Y. pestis 100%, B. mallei & F. tularensis 93%; B. anthracis 71%; B. pseudomallei 43%. For B. mallei & pseudomallei detection the BPM2 PCR, which detects both species, outperformed PCR assays specific to each organism indicating identification of the respective species would not be reproducible at the 100 fg level. Near 100% levels of detection were observed when 100 fg of DNA was added to each PCR in singleplex format with singleplex PCRs also returning sporadic positives at the 10 fg per PCR level. Before evaluating the use of Array Cards for the testing of environmental and clinical sample types, with potential levels of background DNA and PCR inhibitors, users would therefore have to accept a 10-fold reduction in sensitivity of PCR assays on the Array Card format, in order to benefit for the capacity to test multiple samples for multiple agents. A two PCR per agent strategy would allow the testing of 7 samples for the presence of 11 biological agents or 3 samples for 23 biological agents per card (with negative control channels).

Comparison of eight methods for the extraction of Bacillus atrophaeus spore DNA from eleven common interferents and a common swab.

Eight DNA extraction products or methods (Applied Biosystems PrepFiler Forensic DNA Extraction Kit; Bio-Rad Instagene Only, Bio-Rad Instagene & Spin Column Purification; EpiCentre MasterPure DNA & RNA Kit; FujiFilm QuickGene Mini80; Idaho Technologies 1-2-3 Q-Flow Kit; MoBio UltraClean Microbial DNA Isolation Kit; Sigma Extract-N-Amp Plant and Seed Kit) were adapted to facilitate extraction of DNA under BSL3 containment conditions. DNA was extracted from 12 common interferents or sample types, spiked with spores of Bacillus atropheaus. Resulting extracts were tested by real-time PCR. No one method was the best, in terms of DNA extraction, across all sample types. Statistical analysis indicated that the PrepFiler method was the best method from six dry powders (baking, biological washing, milk, plain flour, filler and talcum) and one solid (Underarm deodorant), the UltraClean method was the best from four liquids (aftershave, cola, nutrient broth, vinegar), and the MasterPure method was the best from the swab sample type. The best overall method, in terms of DNA extraction, across all sample types evaluated was the UltraClean method.

Application of a recA gene-based identification approach to the maize rhizosphere reveals novel diversity in Burkholderia species.

Burkholderia species are widely distributed in the natural environment. We evaluated the use of the recA gene in a cultivation-independent approach to examine the Burkholderia diversity associated with the maize rhizosphere. Two types of recA gene library were constructed, one with broad-specificity recA primers (BUR1 and BUR2) and a second from the products of nested PCRs using Burkholderia-specific primers (BUR3 and BUR4). The broad-specificity primer set provided near full-length recA sequences (869 bp) suitable for the creation of robust environmental sequence data sets; however, the nested PCR approach demonstrated the greatest specificity (84%) for detection of Burkholderia species recA genes. In addition, the screening approach was able to identify recA phylotypes matching Burkholderia cepacia complex species previously cultivated from the maize samples and discriminate these from other Burkholderia. The ecological benefit of Burkholderia species cultivated from maize rhizosphere is well documented, however, the fact that the majority of Burkholderia recA genes detected in this study (90%) were suggestive of novel taxa indicates that a wealth of potentially important interactions with uncultivated Burkholderia species remain unstudied in this habitat.