Teaching Microbial Identification with Matrix-Assisted Laser Desorption/Ionization Time-of-Flight Mass Spectrometry (MALDI-TOF MS) and Bioinformatics Tools

A simple undergraduate laboratory exercise for teaching the role of sentinel-level clinical microbiology testing in biological threat identification

Undergraduate students in the biomedical sciences are mostly unaware of how clinical microbiology laboratories handle suspected agents of bioterrorism or emerging infectious diseases. The Public Health Security Bioterrorism Preparedness and Response Act of 2002 requires the US Department of Health and Human Services (HHS) to maintain a list of microbes that pose serious biological threats to human health and safety, including Tier 1 agents with the potential for use in bioterrorism. The Laboratory Response Network (LRN), founded by the Centers for Disease Control and Prevention, the Federal Bureau of Investigation, and the Association of Public Health Laboratories, coordinates the response of sentinel, reference, and national laboratories to these biothreats. The sentinel laboratories, which comprise most hospital-based and commercial laboratories, are the first to encounter a suspicious agent. For this reason, the LRN has published a series of testing guidelines to assist the sentinel laboratories in deciding whether a microbial isolate should be considered potentially hazardous and thus sent to a reference or national laboratory for further characterization. Here, we describe a simple laboratory exercise that teaches sentinel-level testing requirements in the context of an applied setting of a potential outbreak of anthrax that would require a sentinel laboratory to recognize a potential threat, attempt to rule it out, and refer to a national laboratory for identification.

Direct MALDI-TOF MS Identification of Bacterial Mixtures

Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) is now widely used to characterize bacterial samples for clinical diagnosis, food safety control, environmental monitoring, and so on. However, existing standard approaches are only applied to analyze single colonies purified by plate culture, which limits the approaches to cultivable bacteria and makes the whole approaches time-consuming. In this work, we propose a new framework to analyze MALDI-TOF spectra of bacterial mixtures and to directly characterize each component without purification procedures. The framework is a combination of a synthetic mixture model based on a non-negative linear combination of candidate reference spectra and a statistical assessment by in silico generated spectra via a jackknife resampling. Ninety-seven model bacterial mixture samples and 8 cocultured blind-coded bacterial mixture samples, containing up to 6 strains in varied ratios in each sample, together with a reference database containing the mass spectra of 1081 strains, were used to validate the framework. High sensitivity (>80%, with error rate <5%) was achieved for balanced binary and ternary mixtures. The sensitivity was >60% for balanced quaternary and pentabasic mixtures, and 48%-71% for asymmetric situation, with error rate <5%. The work can facilitate rapid and reliable characterization of bacterial mixtures without purification procedures, which is of practical value in clinical diagnosis, food safety control, environmental monitoring, and so on. The framework can be further applied to many other spectroscopy-based analytics to interpret spectra from mixed samples.

Simulation of MICROBACT Strip Assay Using Colored Liquids to Demonstrate Identification of Unknown Gram-Negative Organisms in Undergraduate Laboratory

Identification of unknown microorganisms to the species level is an important component of a microbiology course. Modern technologies such as matrix assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS) and 16S rRNA gene sequencing offer a rapid species level identification when compared to conventional phenotype-based methods, however they rely on a well-established taxonomy database and phenotypic assays can still play an important role in species determination. Another major limitation is the up-front cost of purchasing these modern specialized instruments and the requirement of skilled personnel to operate specialized equipment and software, which makes them unsuitable to use in the undergraduate teaching laboratory. Commercial biochemical identification systems such as the Oxoid Microbact™ GNB 12A/12E/24E kit is used for the identification of Enterobacteriaceae and other Gram negative bacteria in clinical and veterinary diagnostic laboratories, and food industries for disease control and treatment. In this article, we describe a method of reliably simulating this Microbact™ strip assay using artificial color liquids (which are affordable and easy to source) for the demonstration of phenotypic characterization of unknown Gram negative organisms while providing a safe teaching environment as no bacteria are used, familiarizing students with the concept of using Microbact™ 12A kit to identify a range of unknown Gram negative organisms.

Rapid Characterization of Microalgae and Microalgae Mixtures Using Matrix-Assisted Laser Desorption Ionization Time-Of-Flight Mass Spectrometry (MALDI-TOF MS)

Current molecular methods to characterize microalgae are time-intensive and expensive. Matrix Assisted Laser Desorption/Ionization Time-of-Flight Mass Spectrometry (MALDI-TOF MS) may represent a rapid and economical alternative approach. The objectives of this study were to determine whether MALDI-TOF MS can be used to: 1) differentiate microalgae at the species and strain levels and 2) characterize simple microalgal mixtures. A common protein extraction sample preparation method was used to facilitate rapid mass spectrometry-based analysis of 31 microalgae. Each yielded spectra containing between 6 and 56 peaks in the m/z 2,000 to 20,000 range. The taxonomic resolution of this approach appeared higher than that of 18S rDNA sequence analysis. For example, two strains of Scenedesmus acutus differed only by two 18S rDNA nucleotides, but yielded distinct MALDI-TOF mass spectra. Mixtures of two and three microalgae yielded relatively complex spectra that contained peaks associated with members of each mixture. Interestingly, though, mixture-specific peaks were observed at m/z 11,048 and 11,230. Our results suggest that MALDI-TOF MS affords rapid characterization of individual microalgae and simple microalgal mixtures.