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Journal of Bacteriology
Article . 2013 . Peer-reviewed
License: ASM Journals Non-Commercial TDM
Data sources: Crossref
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Probing Bacterial Metabolism during Infection Using High-Resolution Transcriptomics

Authors: Peter Jorth; Marvin Whiteley; Kendra P. Rumbaugh; Urvish Trivedi;

Probing Bacterial Metabolism during Infection Using High-Resolution Transcriptomics

Abstract

ABSTRACT A fundamental aspect of most infectious diseases is the need for the invading microbe to proliferate in the host. However, little is known about the metabolic pathways required for pathogenic microbes to colonize and persist in their hosts. In this study, we used RNA sequencing (RNA-seq) to generate a high-resolution transcriptome of the opportunistic pathogen Aggregatibacter actinomycetemcomitans in vivo . We identified 691 A. actinomycetemcomitans transcriptional start sites and 210 noncoding RNAs during growth in vivo and as a biofilm in vitro . Compared to in vitro biofilm growth on a defined medium, ∼14% of the A. actinomycetemcomitans genes were differentially regulated in vivo . A disproportionate number of genes coding for proteins involved in metabolic pathways were differentially regulated in vivo , suggesting that A. actinomycetemcomitans in vivo metabolism is distinct from in vitro growth. Mutational analyses of differentially regulated genes revealed that formate dehydrogenase H and fumarate reductase are important A. actinomycetemcomitans fitness determinants in vivo . These results not only provide a high-resolution genomic analysis of a bacterial pathogen during in vivo growth but also provide new insight into metabolic pathways required for A. actinomycetemcomitans in vivo fitness.

Keywords

Disease Models, Animal, Mice, RNA, Untranslated, Sequence Analysis, RNA, Gene Expression Profiling, Animals, Pasteurellaceae, Pasteurellaceae Infections, Transcription Initiation Site, Transcriptome, Abscess, Metabolic Networks and Pathways

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
43
Top 10%
Top 10%
Top 10%
bronze
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