CellsGenomicsPeer-reviewed journal article
A trans-omics comparison reveals common gene expression strategies in four model organisms and exposes similarities and differences between them
Jaume Forés-MartosiD, Anabel ForteiD, José García‐MartíneziD, José Enrique Pérez-OrtíniD
Abstract
The ultimate goal of gene regulation should focus on the protein level. However, as mRNA is an obligate intermediary, and because the amounts of mRNAs and proteins are controlled by their synthesis and degradation rates, the cellular amount of a given protein can be attained following different strategies. By studying omics datasets for six expression variables (mRNA and protein amounts, plus their synthesis and decay rates), we previously demonstrated the existence of common expression strategies (CES) for functionally-related genes in the yeast Saccharomyces cerevisiae. Here we extend that study to two other eukaryotes: the distantly related yeast Schizosaccharomyces pombe and cultured human HeLa cells. We also use genomic datasets from the model prokaryote Escherichia coli as an external reference. We show that CES are also present in all the studied organisms and the differences in them between organisms can be used to establish their phylogenetic relationships. The phenogram based on 6VP has the expected topology for the phylogeny of these four organisms, but shows interesting branch length differences to DNA sequence-based trees. The analysis of the correlations among the six variables supports that most gene expression control occurs in actively growing organisms at the transcription rate level, and that translation plays a minor role in it. We propose that all living cells use CES for the genes acting on the same physiological pathways, especially for those belonging to stable macromolecular complexes, but CES have been modeled by evolution to adapt to the specific life circumstances of each organism. The obtained phenograms may reflect both evolutionary constraints in expression strategies, and lifestyle convergences.
- organism: yeast
- organism: human
- organism: bacteria (other)
- assay: bulk RNA-seq
- assay: proteomics
- research focus: phylogenetics / evolution
- approach: statistical model
- Citations
- 8
- FWCI
- 0.55
- Field percentile
- top 43%
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