Comparative Transcriptomic Profiling of Yersinia enterocolitica O:3 and O:8 Reveals Major Expression Differences of Fitness- and Virulence-Relevant Genes Indicating Ecological Separation

Author:

Schmühl Carina1,Beckstette Michael1,Heroven Ann Kathrin1,Bunk Boyke2,Spröer Cathrin2,McNally Alan3,Overmann Jörg245,Dersch Petra1456

Affiliation:

1. Department of Molecular Infection Biology, Helmholtz Centre for Infection Research, Braunschweig, Germany

2. Leibniz Institute DSMZ—German Collection of Microorganisms and Cell Cultures, Braunschweig, Germany

3. Institute of Microbiology and Infection, University of Birmingham, Birmingham, United Kingdom

4. Department of Microbiology, Technical University Braunschweig, Braunschweig, Germany

5. German Center for Infection Research, Braunschweig, Germany

6. Institute for Infectiology, Center for Molecular Biology of Inflammation, University of Münster, Münster, Germany

Abstract

Yersinia enterocolitica is a major diarrheal pathogen and is associated with a large range of gut-associated diseases. Members of this species have evolved into different phylogroups with genotypic variations. We performed the first characterization of the Y. enterocolitica transcriptional landscape and tracked the consequences of the genomic variations between two different pathogenic phylogroups by comparing their RNA repertoire, promoter usage, and expression profiles under four different virulence-relevant conditions. Our analysis revealed major differences in the transcriptional outputs of the closely related strains, pointing to an ecological separation in which one is more adapted to an environmental lifestyle and the other to a mostly mammal-associated lifestyle. Moreover, a variety of pathoadaptive alterations, including alterations in acid resistance genes, colonization factors, and toxins, were identified which affect virulence and host specificity. This illustrates that comparative transcriptomics is an excellent approach to discover differences in the functional output from closely related genomes affecting niche adaptation and virulence, which cannot be directly inferred from DNA sequences.

Funder

Lichtenberg Stipend

Leibniz-Gemeinschaft

Helmholtz Association

Publisher

American Society for Microbiology

Subject

Computer Science Applications,Genetics,Molecular Biology,Modeling and Simulation,Ecology, Evolution, Behavior and Systematics,Biochemistry,Physiology,Microbiology

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