Mark T. Kingsley

Trichloroethene reductive dehalogenase from Dehalococcoides ethenogenes : Sequence of tceA and substrate range characterization

ABSTRACT The anaerobic bacterium Dehalococcoides ethenogenes is the only known organism that can completely dechlorinate tetrachloroethene or trichloroethene (TCE) to ethene via dehalorespiration. One of two corrinoid-containing enzymes responsible for this pathway, TCE reductive dehalogenase (TCE-RDase) catalyzes the dechlorination of TCE to ethene. TCE-RDase dehalogenated 1,2-dichloroethane and 1,2-dibromoethane to ethene at rates of 7.5 and 30 μmol/min/mg, respectively, similar to the rates for TCE,cis-dichloroethene (DCE), and 1,1-DCE. A variety of other haloalkanes and haloalkenes containing three to five carbon atoms were dehalogenated at lower rates. The gene encoding TCE-RDase,tceA, was cloned and sequenced via an inverse PCR approach. Sequence comparisons of tceA to proteins in the public databases revealed weak sequence similarity confined to the C-terminal region, which contains the eight-iron ferredoxin cluster binding motif, (CXXCXXCXXXCP)2. Direct N-terminal sequencing of the mature enzyme indicated that the first 42 amino acids constitute a signal sequence containing the twin-arginine motif, RRXFXK, associated with the Sec-independent membrane translocation system. This information coupled with membrane localization studies indicated that TCE-RDase is located on the exterior of the cytoplasmic membrane. Like the case for the two other RDases that have been cloned and sequenced, a small open reading frame, tceB, is proposed to be involved with membrane association of TCE-RDase and is predicted to be cotranscribed with tceA.

Reproducibility of matrix‐assisted laser desorption/ionization time‐of‐flight mass spectrometry for replicate bacterial culture analysis

Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOFMS) was used to demonstrate the reproducibility of bacterial spectra collected on different days. The reproducibility of analysis by MALDI-MS of intact Escherichia coli and Bacillus atrophaeus is presented as a replicate culture study in which spectra were collected on ten different occasions over a three-month period and by two different operators. The analysis resulted in the detection of specific biomarkers in the m/z 2000-20 000 range. Some of the peaks in the Escherichia coli spectra are identified by comparison with other published work. All of the spectra obtained are reproducible over the course of the experiment, but operator variability does exist. The Escherichia coli spectra show operator variability while the Bacillus atrophaeus spectra do not. This work demonstrates the utility of MALDI in obtaining consistent spectra from bacteria over a period of time.

Use of an internal control for matrix-assisted laser desorption/ionization time-of-flight mass spectrometry analysis of bacteria.

A method to aid in the analysis of bacterial samples of unknown concentration by matrix-assisted laser desorption/ionization (MALDI) mass spectrometry is demonstrated. It is shown that in MALDI analysis of bacteria, the intensities of resulting peaks in spectra are sensitive to the microbial concentration. At the high and low ends of the concentration range, no signal can be obtained, leaving very concentrated or very dilute samples indistinguishable. The addition of cytochrome c as an internal control allows the differentiation of these concentrated and dilute samples. The presence of the internal control causes only a 20% to 30% decrease in signal intensity when the bacterial concentration is optimum. However, the signal quality is improved when the internal control is added to some low concentrations of bacteria.

Fingerprinting closely related xanthomonas pathovars with random nonamer oligonucleotide microarrays.

ABSTRACT Current bacterial DNA-typing methods are typically based on gel-based fingerprinting methods. As such, they access a limited complement of genetic information and many independent restriction enzymes or probes are required to achieve statistical rigor and confidence in the resulting pattern of DNA fragments. Furthermore, statistical comparison of gel-based fingerprints is complex and nonstandardized. To overcome these limitations of gel-based microbial DNA fingerprinting, we developed a prototype, 47-probe microarray consisting of randomly selected nonamer oligonucleotides. Custom image analysis algorithms and statistical tools were developed to automatically extract fingerprint profiles from microarray images. The prototype array and new image analysis algorithms were used to analyze 14 closely related Xanthomonas pathovars. Of the 47 probes on the prototype array, 10 had diagnostic value (based on a chi-squared test) and were used to construct statistically robust microarray fingerprints. Analysis of the microarray fingerprints showed clear differences between the 14 test organisms, including the separation of X. oryzae strains 43836 and 49072, which could not be resolved by traditional gel electrophoresis of REP-PCR amplification products. The proof-of-application study described here represents an important first step to high-resolution bacterial DNA fingerprinting with microarrays. The universal nature of the nonamer fingerprinting microarray and data analysis methods developed here also forms a basis for method standardization and application to the forensic identification of other closely related bacteria.

Renewable Microcolumns for Automated DNA Purification and Flow-through Amplification: From Sediment Samples through Polymerase Chain Reaction

Abstract There is an increasing need for field-portable systems for the detection and characterization of microorganisms in the environment. Nucleic acids analysis is frequently the method of choice for discriminating between bacteria in complex systems, but standard protocols are difficult to automate and current microfluidic devices are not configured specifically for environmental sample analysis. In this report, we describe the development of an integrated DNA purification and polymerase chain reaction (PCR) amplification system and demonstrate its use for the automated purification and amplification of Geobacter chapellei DNA (genomic DNA or plasmid targets) from sediments. The system includes renewable separation columns for the automated capture and release of microparticle purification matrices, and can be easily reprogrammed for new separation chemistries and sample types. The DNA extraction efficiency for the automated system ranged from 3 to 25%, depending on the length and concentration of the DNA target. The system was more efficient than batch capture methods for the recovery of dilute genomic DNA even though the reagent volumes were smaller than required for the batch procedure. The automated DNA concentration and purification module was coupled to a flow-through, Peltier-controlled DNA amplification chamber, and used to successfully purify and amplify genomic and plasmid DNA from sediment extracts. Cleaning protocols were also developed to allow reuse of the integrated sample preparation system, including the flow-through PCR tube.

Integrated systems for DNA sample preparation and detection in environmental samples

Field-portable sensor system are currently needed for the detection and characterization of biological pathogens in the environment. Nucleic acid analysis is frequently the method of choice for discriminating between pathogenic and non-pathogenic bacteria in environmental samples, however standard protocols are difficult to automate and current microfluidic devices are not configured to analyze environmental samples. In this paper, we describe an automated DNA sample processing system and demonstrate its use for the extraction of bacterial DNA form water and sediment samples. Two challenges in environmental sample analysis are the need to process relatively large sample volumes in order to obtain detectable quantities of DNA present at low concentrations, and the need to purify DNA form a complex sample matrix for downstream detection. These problems are addressed by using sequential injection fluid handling techniques for precise manipulation of the required volumes, and renewable separation columns for automatically trapping and releasing microparticles that are used for sample purification. The renewable microcolumns are used for both bacterial cell concentration and DNA purification. The purified bacterial DNA is then amplified using an on-line PCR module in order to produce detectable quantities of the target DNA.