Abstract

The Human Oral Microbiome Database (HOMD) provides an extensive collection of genome sequences from oral bacteria. The sequence information is a static snapshot of the microbial potential of the so far sequenced species. A major challenge is to connect the microbial potential encoded in the metagenome to an actual function in the in vivo oral biofilm. In the present study we took a reductionist approach and identified a considerably conserved metabolic gene, spxB to be encoded by a majority of oral streptococci using the HOMD metagenome information. spxB encodes the pyruvate oxidase responsible for the production of growth inhibiting amounts of hydrogen peroxide (H2O2) and has previously been shown as important in the interspecies competition in the oral biofilm. Here we demonstrate a strong correlation of H2O2 production and the presence of the spxB gene in dental plaque. Using Real-Time RT PCR we show that spxB is expressed in freshly isolated human plaque samples from several donors and that the expression is relative constant when followed over time in one individual. This is the first demonstration of an oral community encoded gene expressed in vivo suggesting a functional role of spxB in oral biofilm physiology. This also demonstrates a possible strategy to connect the microbial potential of the metagenome to its functionality in future studies by identifying similar highly conserved genes in the oral microbial community.

Highlights

  • The Human Oral Microbiome Database (HOMD) contains DNA sequence information from over 1300 genomes [1]

  • The homology of the spxB genes encoded by the oral streptococcal community is high ranging from 93% to 97% on the nucleotide level with a core sequence of about 1700 bp when compared to the 2308 bp of S. gordonii CH1

  • No homolog was found in cariogenic Streptococcus mutans confirming our previous observation that S. mutans does not produce competitive amounts of H2O2 [11]

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Summary

Introduction

The Human Oral Microbiome Database (HOMD) contains DNA sequence information from over 1300 genomes [1]. This number is most likely to grow in the future. One caveat of this approach is that the metagenome only gives a static snapshot of the oral bacterial community potential at the time of sampling [2]. It will not allow determining a dynamic relationship or the functionality of the bacterial community at any given time. The amount of species open reading frames would lead to large amounts of diverse sequences reads requiring specific software to adequately manage the data [5,6,7]

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