Evolution on the Biophysical Fitness Landscape of an RNA Virus.

Viral evolutionary pathways are determined by the fitness landscape, which maps viral genotype to fitness. However, a quantitative description of the landscape and the evolutionary forces on it remain elusive. Here, we apply a biophysical fitness model based on capsid folding stability and antibody binding affinity to predict the evolutionary pathway of norovirus escaping a neutralizing antibody. The model is validated by experimental evolution in bulk culture and in a drop-based microfluidics that propagates millions of independent small viral subpopulations. We demonstrate that along the axis of binding affinity, selection for escape variants and drift due to random mutations have the same direction, an atypical case in evolution. However, along folding stability, selection and drift are opposing forces whose balance is tuned by viral population size. Our results demonstrate that predictable epistatic tradeoffs between molecular traits of viral proteins shape viral evolution.

Characterization of microbial mixtures by mass spectrometry.

MS applications in microbiology have increased significantly in the past 10 years, due in part to the proliferation of regulator-approved commercial MALDI MS platforms for rapid identification of clinical infections. In parallel, with the expansion of MS technologies in the "omics" fields, novel MS-based research efforts to characterize organismal as well as environmental microbiomes have emerged. Successful characterization of microorganisms found in complex mixtures of other organisms remains a major challenge for researchers and clinicians alike. Here, we review recent MS advances toward addressing that challenge. These include sample preparation methods and protocols, and established, for example, MALDI, as well as newer, for example, atmospheric pressure ionization (API) techniques. MALDI mass spectra of intact cells contain predominantly information on the highly expressed house-keeping proteins used as biomarkers. The API methods are applicable for small biomolecule analysis, for example, phospholipids and lipopeptides, and facilitate species differentiation. MS hardware and techniques, for example, tandem MS, including diverse ion source/mass analyzer combinations are discussed. Relevant examples for microbial mixture characterization utilizing these combinations are provided. Chemometrics and bioinformatics methods and algorithms, including those applied to large scale MS data acquisition in microbial metaproteomics and MS imaging of biofilms, are highlighted. Select MS applications for polymicrobial culture analysis in environmental and clinical microbiology are reviewed as well.

Establishing drug resistance in microorganisms by mass spectrometry.

A rapid method to determine drug resistance in bacteria based on mass spectrometry is presented. In it, a mass spectrum of an intact microorganism grown in drug-containing stable isotope-labeled media is compared with a mass spectrum of the intact microorganism grown in non-labeled media without the drug present. Drug resistance is determined by predicting characteristic mass shifts of one or more microorganism biomarkers using bioinformatics algorithms. Observing such characteristic mass shifts indicates that the microorganism is viable even in the presence of the drug, thus incorporating the isotopic label into characteristic biomarker molecules. The performance of the method is illustrated on the example of intact E. coli, grown in control (unlabeled) and (13)C-labeled media, and analyzed by MALDI TOF MS. Algorithms for data analysis are presented as well.

Enhanced in-source fragmentation in MALDI-TOF-MS of oligonucleotides using 1,5-diaminonapthalene.

The capability to rapidly and confidently determine or confirm the sequences of short oligonucleotides, including native and chemically-modified DNA and RNA, is important for a number of fields. While matrix-assisted laser desorption/ionization (MALDI) time-of-flight (TOF) mass spectrometry (MS) has been used previously to sequence short oligonucleotides, the typically low fragmentation efficiency of in-source or post-source decay processes necessitates the accumulation of a large number of spectra, thus limiting the throughput of these methods. Here we introduce a novel matrix, 1,5-diaminonapthalene (DAN), for facile in-source decay (ISD) of DNA and RNA molecular anions, which allows for rapid sequence confirmation. d-, w-, and y-series ions are prominent in the spectra, complementary to the (a-B)- and w- ions that are typically produced by MALDI post-source decay (PSD). Results are shown for several model DNA and RNA oligonucleotides, including combinations of DAN-induced fragmentation with true tandem TOF MS (MS/MS) for pseudo-MS(3) and "activated-ion PSD."

Top-down identification of protein biomarkers in bacteria with unsequenced genomes.

MALDI mass spectrometry-based systems for rapid characterization of microorganisms in biodefense or medical diagnostics usually detect intact proteins in the 5000-20,000 Da range. To evaluate the reliability of species discrimination, and also for forensic applications, it is important that these biomarker proteins be identified. In the present study we apply high resolution tandem mass analysis on an Orbitrap and top-down bioinformatics to identify major biomarker proteins observed in MALDI spectra of intact bacteria for which little genomic or protein sequence information is available. The strategy depends on recognition of proteins with very high homology in related (sequenced) species, making it possible to place unsequenced organisms in their correct phylogenetic context. We show that this rapid proteomics based approach to phylogenetic characterization produces similar results to the traditional techniques, and may even be applied to target organisms of undetermined taxonomy. We further discuss important issues in combining genomics/proteomics databases and MALDI MS for the rapid characterization of microorganisms.

Mass spectrometry in biodefense.

Potential agents for biological attacks include both microorganisms and toxins. In mass spectrometry (MS), rapid identification of potential bioagents is achieved by detecting the masses of unique biomarkers, correlated to each agent. Currently, proteins are the most reliable biomarkers for detection and characterization of both microorganisms and toxins, and MS-based proteomics is particularly well suited for biodefense applications. Confident identification of an organism can be achieved by top-down proteomics following identification of individual protein biomarkers from their tandem mass spectra. In bottom-up proteomics, rapid digestion of intact protein biomarkers is again followed by MS/MS to provide unambiguous bioagent identification and characterization. Bioinformatics obviates the need for culturing and rigorous control of experimental variables to create and use MS fingerprint libraries for various classes of bioweapons. For specific applications, MS methods, instruments and algorithms have also been developed for identification based on biomarkers other than proteins and peptides.

Mass spectrometry for rapid characterization of microorganisms.

Advances in instrumentation, proteomics, and bioinformatics have contributed to the successful applications of mass spectrometry (MS) for detection, identification, and classification of microorganisms. These MS applications are based on the detection of organism-specific biomarker molecules, which allow differentiation between organisms to be made. Intact proteins, their proteolytic peptides, and nonribosomal peptides have been successfully utilized as biomarkers. Sequence-specific fragments for biomarkers are generated by tandem MS of intact proteins or proteolytic peptides, obtained after, for instance, microwave-assisted acid hydrolysis. In combination with proteome database searching, individual biomarker proteins are unambiguously identified from their tandem mass spectra, and from there the source microorganism is also identified. Such top-down or bottom-up proteomics approaches permit rapid, sensitive, and confident characterization of individual microorganisms in mixtures and are reviewed here. Examples of MS-based functional assays for detection of targeted microorganisms, e.g., Bacillus anthracis, in environmental or clinically relevant backgrounds are also reviewed.

Top-down proteomics for rapid identification of intact microorganisms.

We apply MALDI-TOF/TOF mass spectrometry for the rapid and high-confidence identification of intact Bacillus spore species. In this method, fragment ion spectra of whole (undigested) protein biomarkers are obtained without the need for biomarker prefractionation, digestion, separation, and cleanup. Laser-induced dissociation (unimolecular decay) of higher mass (>5 kDa) precursor ions in the first TOF analyzer is followed by reacceleration and subsequent high-resolution mass analysis of the resulting sequence-specific fragments in a reflectron TOF analyzer. In-house-developed software compares an experimental MS/MS spectrum with in silico-generated tandem mass spectra from all protein sequences, contained in a proteome database, with masses within a preset range around the precursor ion mass. A p-value, the probability that the observed matches between experimental and in silico-generated fragments occur by chance, is computed and used to rank the database proteins to identify the most plausible precursor protein. By inference, the source microorganism is then identified on the basis of the identification of individual, unique protein biomarker(s). As an example, intact Bacillus atrophaeus and Bacillus cereus spores, either pure or in mixtures, were unambiguously identified by this method after fragmenting and identifying individual small, acid-soluble spore proteins that are specific for each species. Factors such as experimental mass accuracy and number of detected fragment ions, precursor ion charge state, and sequence-specific fragmentation have been evaluated with the objective of extending the approach to other microorganisms. MALDI-TOF/TOF-MS in a lab setting is an efficient tool for in situ confirmation/verification of initial microorganism identification.

Detection of Plasmodium falciparum in pregnancy by laser desorption mass spectrometry.

Detection of Plasmodium falciparum malaria during pregnancy is complicated by sequestration of parasites in the placenta, which reduces peripheral blood microscopic detection. Laser desorption mass spectrometry (LDMS) has previously demonstrated sensitive detection of hemozoin from P. falciparum blood cultures and the ability to track parasitemia in a Plasmodium yoelii malaria mouse model. Here we use a simple, dilution in water, blood sample preparation protocol for LDMS detection of malaria in 45 asymptomatic, pregnant Zambian women. We compare LDMS to microscopy and polymerase chain reaction (PCR) analysis. All women were microscopy negative. LDMS detected P. falciparum hemozoin in 15 out of 45 women, while PCR results were positive in 25 women. Compared with PCR, which analyzed 20-30 microL of blood, the sensitivity of LDMS, which analyzed < 1 microL of blood, was 52%, with a specificity of 92%. LDMS is a potentially rapid and more sensitive alternate diagnostic method than microscopy.

Arrayed time-of-flight mass spectrometry for time-critical detection of hazardous agents.

The design and operation of an arrayed time-of-flight (TOF) mass spectrometer for simultaneous data acquisition from multiple samples is described. Versions of the instrument employ sets of two or four linear or reflectron mass analyzers. They are housed in the same vacuum chamber and utilize the same laser for ion desorption. Instrument performance is illustrated in the example of a two-linear-mass-analyzer array using MALDI-MS for mixtures of commercially available proteins as well as intact microorganisms. We also describe the properties of a novel short delay time (<170 ns) pulsed extraction method for linear TOF analyzers. This configuration allows uniform resolution improvements to be achieved in a wide m/z range. In addition, we present multiplexed sample preparation methods, using different reagents prior to mass analysis in the arrayed system, to increase the overall sensitivity of the MS method and to allow wider and more efficient detection across the entire range of potentially hazardous agents. In addition to the multifold increase in data collection rates, arrayed TOF-MS configurations provide a high degree of redundancy, critical for rapid, high confidence agent identification as well as for reduction in false alarm rates.

Rapid detection of malaria infection in vivo by laser desorption mass spectrometry.

Rapid diagnosis leading to effective treatment is essential to control escalating infectious diseases such as malaria. Malaria pigment (hemozoin) detection by laser desorption mass spectometry (LDMS) was recently shown to be a sensitive (<10 parasites/muL) technique for detecting Plasmodium falciparum parasites cultured in human blood. To examine the use of LDMS in a rapid new malaria screening assay, we followed the time course of P. yoelii infections in mice in parallel with light microscopy and a colorimetric hemozoin assay. Hemozoin was detected by LDMS in 0.3 muL of blood within two days of infection independently of the inoculating dose of 10(6), 10(4), or 10(2) parasite-infected erythrocytes. Microscopy and colorimetric hemozoin determinations lagged the LDMS detection of infections by 2-4 and 3-5 days, respectively, except at the highest inoculation dose. The LDMS detection of hemozoin is a potentially more rapid screen than light microscopy for detecting malaria infection in this mouse model at parasitemias <0.1%.

Mass spectrometry for malaria diagnosis.

A physical method currently being developed for malaria parasite detection and diagnosis in blood is reviewed in this article. The method - direct laser desorption mass spectrometry - is based on the detection of heme (iron protoporphyrin) as a unique qualitative and quantitative molecular biomarker for malaria. In infected erythrocytes, the parasite sequesters heme in a molecular crystal (hemozoin) - a volume of highly concentrated and purified biomarker molecules. Laser desorption mass spectrometry detects only heme from hemozoin in parasite-infected blood, and not heme that is bound to hemoglobin or other proteins in uninfected blood samples. The method requires only a drop of blood with minimal sample preparation. Laser desorption mass spectrometry may become a rapid and high-throughput tool for specific and sensitive pan-malaria detection at levels below 10 parasites/mul of blood.

Enhanced specificity of bacterial spore identification by oxidation and mass spectrometry.

Addition of an oxidizing agent (e.g., hydrogen peroxide) to intact spores selectively and completely oxidizes Met-containing biomarker proteins by formation of Met sulfoxides. This reaction increases the masses of the biomarker proteins observed in matrix-assisted laser desorption/ionization mass spectrometry (MALDI-MS) of Bacillus spores by Deltam = (16 x n) Da, where n is the number of Met residues in the sequence of each individual protein. The procedure is very rapid, and can be performed in situ (i.e., on the MALDI target). It confirms the identity of individual biomarkers by comparing the number of Met amino acids from the experimentally determined mass shifts with predictions for n from the tentative amino acid sequence for each protein. In turn, accurate determination of n for several biomarkers allows rapid validation of the initial spore identification by MALDI-MS.

Microorganism identification by matrix-assisted laser/desorption ionization mass spectrometry and model-derived ribosomal protein biomarkers.

An improved data analysis method is described for rapid identification of intact microorganisms from MALDI-TOF-MS data. The method makes no use of mass spectral fingerprints. Instead, a microorganism database is automatically generated that contains biomarker masses derived from ribosomal protein sequences and a model of N-terminal Met loss. We quantitatively validate the method via a blind study that seeks to identify microorganisms with known ribosomal protein sequences. We also include in the database microorganisms with incompletely known sets of ribosomal proteins to test the specificity of the method. With an optimal MALDI protocol, and at the 95% confidence level, microorganisms represented in the database with 20 or more biomarkers (i.e., those with complete or nearly completely sequenced genomes) are correctly identified from their spectra 100% of the time, with no incorrect identifications. Microorganisms with seven or less biomarkers (i.e., incompletely sequenced genomes) are either not identified or misidentified. Robustness with respect to variations in sample preparation protocol and mass analysis protocol is demonstrated by collecting data with two different matrixes and under two different ion-mode configurations. Statistical analysis suggests that, even without further improvement, the method described here would successfully scale up to microorganism databases with roughly 1000 microorganisms. The results demonstrate that microorganism identification based on proteome data and modeling can perform as well as methods based on mass spectral fingerprinting.

Covariance mapping in matrix-assisted laser desorption/ionization time-of-flight mass spectrometry.

A novel method for acquisition and numerical analysis of matrix-assisted laser desorption/ionization (MALDI) time-of-flight mass spectral data is described. The digitized ion current transient from each consecutive laser shot is first acquired and stored independently. Subsequently, statistical correlation parameters between all stored transients are computed. We illustrate the uses of this event-by-event analysis method for studies of sample surface heterogeneity as well as for elucidating the mechanisms of ion formation in MALDI. Other potential applications of the method are also outlined.

Mass spectrometry-based proteolytic mapping for rapid virus identification.

A novel method is proposed for rapid identification of viruses and other organisms that show a low number of biomarkers, based on the construction of databases of organism-specific tryptic peptide masses. The peptide products of any protease that cuts at specific residues can be accommodated. Experimentally, a sample of intact virus, e.g., one collected from the atmosphere, is digested with a selective protease for a short time, and the digestion products are analyzed by MALDI-TOF mass spectrometry without fractionation or purification. In the present proof of concept, the Sindbis virus AR 339 was identified by using the masses of observed tryptic peptide products to query a database composed of tryptic peptide masses generated in silico for six viruses whose genomes have been sequenced. Two algorithms were tested for identification--a direct score-ranking algorithm and an algorithm that evaluates the probability of random matching. The Sindbis virus was unambiguously identified by either approach. The influence of factors such as experimental mass accuracy, number of missed cleavages, and database size on the identification algorithms has also been evaluated, with the objective of extending the approach to other microorganisms.