Abstract

BackgroundLegionella is a water and soil bacterium that can infect humans, causing a pneumonia known as Legionnaires’ disease. The pneumonia is almost exclusively caused by the species L. pneumophila, of which serogroup 1 is responsible for 90% of patients. Within serogroup 1, large differences in prevalence in clinical isolates have been described. A recent study, using a Dutch Legionella strain collection, identified five virulence associated markers. In our study, we verify whether these five Dutch markers can predict the patient or environmental origin of a French Legionella strain collection. In addition, we identify new potential virulence markers and verify whether these can predict better. A total of 219 French patient isolates and environmental strains were compared using a mixed-genome micro-array. The micro-array data were analysed to identify predictive markers, using a Random Forest algorithm combined with a logistic regression model. The sequences of the identified markers were compared with eleven known Legionella genomes, using BlastN and BlastX; the functionality for each of the predictive markers was checked in the literature.ResultsThe five Dutch markers insufficiently predicted the patient or environmental origin of the French Legionella strains. Subsequent analyses identified four predictive markers for the French collection that were used for the logistic regression model. This model showed a negative predictive value of 91%. Three of the French markers differed from the Dutch markers, one showed considerable overlap and was found in one of the Legionella genomes (Lorraine strain). This marker encodes for a structural toxin protein RtxA, described for L. pneumophila as a factor involved in virulence and entry in both human cells and amoebae.ConclusionsThe combination of a mixed-genome micro-array and statistical analysis using a Random Forest algorithm has identified virulence markers in a consistent way. The Lorraine strain and related Dutch and French Legionella strains contain a marker that encodes a RtxA protein which probably is involved in the increased prevalence in clinical isolates. The current set of predictive markers is insufficient to justify its use as a reliable test in the public health field in France. Our results suggest that genetic differences in Legionella strains exist between geographically distinct entities. It may be necessary to develop region-specific mixed-genome microarrays that are constantly adapted and updated.

Highlights

  • Legionella is a water and soil bacterium that can infect humans, causing a pneumonia known as Legionnaires’ disease

  • The negative predictive value (NPV) of this model (91%) seems insufficient to justify its use as a reliable test in the public health field in France, for this purpose the NPV should be higher

  • We identified four genetic markers that can be used to predict the patient or environmental origin of French L. pneumophila strains

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Summary

Introduction

Legionella is a water and soil bacterium that can infect humans, causing a pneumonia known as Legionnaires’ disease. A recent study, using a Dutch Legionella strain collection, identified five virulence associated markers. We verify whether these five Dutch markers can predict the patient or environmental origin of a French Legionella strain collection. Heterogeneity in virulence has be studied by comparing the genotype distributions of environmental strains with those of clinical Legionella isolates. Using genomotyping to identify virulence markers, a recent study described four markers that could discriminate clinical isolates and environmental strains in a systematic collection of 222 Dutch Legionella strains [8]

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