Global analysis and comparison of the transcriptomes and proteomes of group a Streptococcus biofilms

Jeffrey A. Freiberg, Yoann Le Breton, Bao Q. Tran, Alison J. Scott, Janette M. Harro, Robert K. Ernst, Young Ah Goo, Emmanuel F. Mongodin, David R. Goodlett, Kevin S. McIver, Mark E. Shirtliff

Research output: Contribution to journalArticlepeer-review

21 Scopus citations

Abstract

To gain a better understanding of the genes and proteins involved in group A Streptococcus (GAS; Streptococcus pyogenes) biofilm growth, we analyzed the transcriptome, cellular proteome, and cell wall proteome from biofilms at different stages and compared them to those of plankton-stage GAS. Using high-throughput RNA sequencing (RNA-seq) and liquid chromatography-tandem mass spectrometry (LC-MS/MS) shotgun proteomics, we found distinct expression profiles in the transcriptome and proteome. A total of 46 genes and 41 proteins showed expression across the majority of biofilm time points that was consistently higher or consistently lower than that seen across the majority of planktonic time points. However, there was little overlap between the genes and proteins on these two lists. In line with other studies comparing transcriptomic and proteomic data, the overall correlation between the two data sets was modest. Furthermore, correlation was poorest for biofilm samples. This suggests a high degree of regulation of protein expression by nontranscriptional mechanisms. This report illustrates the benefits and weaknesses of two different approaches to global expression profiling, and it also demonstrates the advantage of using proteomics in conjunction with transcriptomics to gain a more complete picture of global expression within biofilms. In addition, this report provides the fullest characterization of expression patterns in GAS biofilms currently available.

Original languageEnglish
Article numbere00149
JournalmSystems
Volume1
Issue number6
DOIs
StatePublished - Nov 1 2016

Keywords

  • LC-MS/MS
  • RNA-seq
  • Shotgun proteomics
  • Streptococcus pyogenes
  • Transcriptomics

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