Global Analysis and Comparison of the Transcriptomes and Proteomes of Group A Streptococcus Biofilms

Author:

Freiberg Jeffrey A.1,Le Breton Yoann2,Tran Bao Q.3,Scott Alison J.1,Harro Janette M.1,Ernst Robert K.14,Goo Young Ah3,Mongodin Emmanuel F.45,Goodlett David R.3,McIver Kevin S.2,Shirtliff Mark E.14

Affiliation:

1. Department of Microbial Pathogenesis, University of Maryland School of Dentistry, Baltimore, Maryland, USA

2. Department of Cell Biology & Molecular Genetics and Maryland Pathogen Research Institute, University of Maryland—College Park, College Park, Maryland, USA

3. Department of Pharmaceutical Sciences, University of Maryland School of Pharmacy, Baltimore, Maryland, USA

4. Department of Microbiology and Immunology, University of Maryland School of Medicine, Baltimore, Maryland, USA

5. Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, Maryland, USA

Abstract

Prokaryotes are thought to regulate their proteomes largely at the level of transcription. However, the results from this first set of global transcriptomic and proteomic analyses of paired microbial samples presented here show that this assumption is false for the majority of genes and their products in S. pyogenes . In addition, the tenuousness of the link between transcription and translation becomes even more pronounced when microbes exist in a biofilm or a stationary planktonic state. Since the transcriptome level does not usually equal the proteome level, the validity attributed to gene expression studies as well as proteomic studies in microbial analyses must be brought into question. Therefore, the results attained by either approach, whether RNA-seq or shotgun proteomics, must be taken in context and evaluated with particular care since they are by no means interchangeable.

Funder

University of Maryland, Baltimore/University of Maryland, College Park Seed Grant

HHS | NIH | National Institute of Allergy and Infectious Diseases

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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