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| Item Type: | Article |
|---|---|
| Title: | Integration of multi-omics data of a genome-reduced bacterium: prevalence of post-transcriptional regulation and its correlation with protein abundances |
| Creators Name: | Chen, W.H., van Noort, V., Lluch-Senar, M., Hennrich, M.L., Wodke, J.A.H., Yus, E., Alibes, A., Roma, G., Mende, D.R., Pesavento, C., Typas, A., Gavin, A.C., Serrano, L. and Bork, P. |
| Abstract: | We developed a comprehensive resource for the genome-reduced bacterium Mycoplasma pneumoniae comprising 1748 consistently generated '-omics' data sets, and used it to quantify the power of antisense non-coding RNAs (ncRNAs), lysine acetylation, and protein phosphorylation in predicting protein abundance (11%, 24% and 8%, respectively). These factors taken together are four times more predictive of the proteome abundance than of mRNA abundance. In bacteria, post-translational modifications (PTMs) and ncRNA transcription were both found to increase with decreasing genomic GC-content and genome size. Thus, the evolutionary forces constraining genome size and GC-content modify the relative contributions of the different regulatory layers to proteome homeostasis, and impact more genomic and genetic features than previously appreciated. Indeed, these scaling principles will enable us to develop more informed approaches when engineering minimal synthetic genomes. |
| Keywords: | Amino Acid Sequence, Bacterial Genome, Bacterial Proteins, Base Sequence, Cluster Analysis, Gene Expression Profiling, Gene Expression Regulation, Genomics, Molecular Sequence Annotation, Molecular Sequence Data, Mycoplasma pneumoniae, Post-Translational Protein Processing, Proteome, Proteomics, Systems Biology, Untranslated RNA |
| Source: | Nucleic Acids Research |
| ISSN: | 0305-1048 |
| Publisher: | Oxford University Press |
| Volume: | 44 |
| Number: | 3 |
| Page Range: | 1192-1202 |
| Date: | 18 February 2016 |
| Official Publication: | https://doi.org/10.1093/nar/gkw004 |
| PubMed: | View item in PubMed |
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