Christiane Honisch

Comparative genome sequencing of Escherichia coli allows observation of bacterial evolution on a laboratory timescale

We applied whole-genome resequencing of Escherichia coli to monitor the acquisition and fixation of mutations that conveyed a selective growth advantage during adaptation to a glycerol-based growth medium. We identified 13 different de novo mutations in five different E. coli strains and monitored their fixation over a 44-d period of adaptation. We obtained proof that the observed spontaneous mutations were responsible for improved fitness by creating single, double and triple site-directed mutants that had growth rates matching those of the evolved strains. The success of this new genome-scale approach indicates that real-time evolution studies will now be practical in a wide variety of contexts.

Association testing by DNA pooling: An effective initial screen

With an ever-increasing resource of validated single-nucleotide polymorphisms (SNPs), the limiting factors in genome-wide association analysis have become genotyping capacity and the availability of DNA. We provide a proof of concept of the use of pooled DNA as a means of efficiently screening SNPs and prioritizing them for further study. This approach reduces the final number of SNPs that undergo full, sample-by-sample genotyping as well as the quantity of DNA used overall. We have examined 15 SNPs in the cholesteryl ester transfer protein (CETP) gene, a gene previously demonstrated to be associated with serum high-density lipoprotein cholesterol levels. The SNPs were amplified in two pools of DNA derived from groups of individuals with extremely high and extremely low serum high-density lipoprotein cholesterol levels, respectively. P values <0.05 were obtained for 14 SNPs, supporting the described association. Genotyping of the individual samples showed that the average margin of error in frequency estimate was ≈4% when pools were used. These findings clearly demonstrate the potential of pooling techniques and their associated technologies as an initial screen in the search for genetic associations.

Novel Mass Spectrometry-Based Tool for Genotypic Identification of Mycobacteria

ABSTRACT Matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS) after base-specific cleavage of PCR amplified and in vitro-transcribed 16S rRNA gene (rDNA) was used for the identification of mycobacteria. Full-length 16S rDNA reference sequences of 12 type strains of Mycobacterium spp. frequently isolated from clinical specimens were determined by PCR, cloning, and sequencing. For MALDI-TOF MS-based comparative sequence analysis, mycobacterial 16S rDNA signature sequences (∼500 bp) of the 12 type strains and 24 clinical isolates were PCR amplified using RNA promoter-tagged forward primers. T7 RNA polymerase-mediated transcription of forward strands in the presence of 5-methyl ribo-CTP maximized mass differences of fragments generated by base-specific cleavage. In vitro transcripts were subsequently treated with RNase T1, resulting in G-specific cleavage. Sample analysis by MALDI-TOF MS showed a specific mass signal pattern for each of the 12 type strains, allowing unambiguous identification. All 24 clinical isolates were identified unequivocally by comparing their detected mass signal pattern to the reference sequence-derived in silico pattern of the type strains and to the in silico mass patterns of published 16S rDNA sequences. A 16S rDNA microheterogeneity of the Mycobacterium xenopi type strain (DSM 43995) was detected by MALDI-TOF MS and later confirmed by Sanger dideoxy sequencing. In conclusion, analysis of 16S rDNA amplicons by MS after base-specific cleavage of RNA transcripts allowed fast and reliable identification of the Mycobacterium tuberculosis complex and ubiquitous mycobacteria (mycobacteria other than tuberculosis). The technology delivers an open platform for high-throughput microbial identification on the basis of any specific genotypic marker region.

Automated comparative sequence analysis by base-specific cleavage and mass spectrometry for nucleic acid-based microbial typing

Traditional microbial typing technologies for the characterization of pathogenic microorganisms and monitoring of their global spread are often difficult to standardize and poorly portable, and they lack sufficient ease of use, throughput, and automation. To overcome these problems, we introduce the use of comparative sequencing by MALDI-TOF MS for automated high-throughput microbial DNA sequence analysis. Data derived from the public multilocus sequence typing (MLST) database (http://pubmlst.org/neisseria) established a reference set of expected peak patterns. A model pathogen, Neisseria meningitidis, was used to validate the technology and explore its applicability as an alternative to dideoxy sequencing. One hundred N. meningitidis samples were typed by comparing MALDI-TOF MS fingerprints of the standard MLST loci to reference sequences available in the public MLST database. Identification results can be obtained in 2 working days. Results were in concordance with classical dideoxy sequencing with 98% correct automatic identification. Sequence types (STs) of 89 samples were represented in the database, seven samples revealed new STs, including three new alleles, and four samples contained mixed populations of multiple STs. The approach shows interlaboratory reproducibility and allows for the exchange of mass spectrometric fingerprints to study the geographic spread of epidemic N. meningitidis strains or other microbes of clinical importance.

Replacing Reverse Line Blot Hybridization Spoligotyping of the Mycobacterium tuberculosis Complex

ABSTRACT Spoligotyping is a tool for the molecular characterization/typing of Mycobacterium tuberculosis complex (MTBC) strains based on target sequences (spacers) in the direct repeat (DR) region (14). The standard spoligotyping assay involves the hybridization of amplified sample DNA to nylon membrane-immobilized oligonucleotides whose sequences are representative of 43 spacer regions. Variations in the number of spacers as a result of deletions of adjacent blocks of repetitive units allow the differentiation of clinical isolates. In the present study, we developed a new multiplexed primer extension-based spoligotyping assay using automated matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS) that improves the classical reverse line blot hybridization assay with respect to reproducibility, throughput, process flow, ease of use, and data analysis. Validation of the MALDI-TOF MS-based spoligotyping assay with two sample sets with a total of 326 samples resulted in 96.6% concordance (315/326) when the full spoligotype patterns were compared with the results of standard spoligotyping and 99.9% concordance when the results were compared with those of individual primer extension assays. Ten strains (including two Mycobacterium canettii strains) showed discordant results with one or two spacer differences from the membrane-based spoligotyping result. Most discordant samples were identified to be the result of ambiguities in the interpretation of weak hybridization signals in the reverse line blot assay and sequence variations in the spacer regions. We established a new automated primer extension assay and successfully validated it for use for the routine typing of MTBC strains in the research and public health laboratory environments. The present multiplex levels of up to 30 are extendable and allow the additional incorporation of controls and antibiotic resistance markers.

Robust Hepatitis B Virus Genotyping by Mass Spectrometry

ABSTRACT Genotyping of hepatitis B virus (HBV) is important for tracking HBV infections, prognosticating the development of severe liver disease, and predicting outcomes of therapy. Current genotyping methods can be laborious and costly and rely on subjective data interpretation. To identify less expensive but equally reliable alternatives, we compared “gold standard” sequencing to a novel mass spectrometry approach. Sera from individuals with acute or chronic HBV infection (n = 756), representing all genotypes, were used to PCR amplify the HBV S gene. All amplicons were subjected to base-specific cleavage and matrix-assisted laser desorption ionization-time-of-flight mass spectrometry (MALDI-TOF MS). The resulting mass peak patterns were used to identify HBV genotype by automated comparison to peak patterns simulated from reference sets of HBV sequences of known genotypes. The MALDI-TOF MS data and phylogenetic analysis of HBV sequences produced completely concordant results. Several parameters such as genetic relatedness of tested HBV variants to the reference set, chronic infections, and the quality of PCR products can lower the MS score but never affected the accuracy of the genotype call. This new streamlined MS-based method provides for rapid and accurate HBV genotyping, produces automated data reports, and is therefore suitable for routine use in diagnostic settings.

Detection of Hepatitis C Virus Transmission by Use of DNA Mass Spectrometry

The molecular detection of transmission of rapidly mutating pathogens such as hepatitis C virus (HCV) is commonly achieved by assessing the genetic relatedness of strains among infected patients. We describe the development of a novel mass spectrometry (MS)-based approach to identify HCV transmission. MS was used to detect products of base-specific cleavage of RNA molecules obtained from HCV polymerase chain reaction fragments. The MS-peak profiles were found to reflect variation in the HCV genomic sequence and the intrahost composition of the HCV population. Serum specimens originating from 60 case patients from 14 epidemiologically confirmed outbreaks and 25 unrelated controls were tested. Neighbor-joining trees constructed using MS-peak profile-based Hamming distances showed 100% accuracy, and linkage networks constructed using a threshold established from the Hamming distances between epidemiologically unrelated cases showed 100% sensitivity and 99.93% specificity in transmission detection. This MS-based approach is rapid, robust, reproducible, cost-effective, and applicable to investigating transmissions of other pathogens.