bioRxivMicrobiologyPreprint
The evolution lifecycle of ribosome hibernation factors
Lewis I. ChaniD, Kimiho OmaeiD, Charlotte R. BrowniD, Kazuaki AmikuraiD, Chinenye L. EkemezieiD, Jessica Clark, Kenji Nishide, Karla Helena-BuenoiD, Paweł PalmowskiiD, Andrew PorteriD, Shino SuzukiiD, Sergey V. MelnikoviD
Abstract
Bacteria defend against hostile environments through a variety of molecular mechanisms, including ribosome hibernation. Previously, bacteria were shown to initiate ribosome hibernation by activating protective proteins known as hibernation factors. It was demonstrated that hibernation factors prevent ribosome degradation by nucleases, which allows bacteria to safely store their inactive ribosomes and survive under starvation or persistent stress. Because homologs of hibernation factors were found in diverse lineages of bacteria, it is currently assumed that the mechanism of ribosome hibernation is highly conserved across species. Here, we assess 46,015 complete bacterial genomes to reveal the principles underlying the origin and evolution of these essential proteins in bacterial cells. We find that hibernation factors emerged in ancient bacteria as relatively large proteins that then gradually reduced in size and have undergone complete extinction in over 10% of studied bacteria. We then demonstrate that the degeneration of ancient hibernation factors is often accompanied by "borrowing" hibernation factors from other species via gene transfers, de novo gene birth or fusion of truncated hibernation factors with fragments from other stress-response proteins. These findings reveal a unique evolutionary pathway in which bacteria respond to the reductive evolution of hibernation machinery by inventing novel hibernation mechanisms, thus restoring their capacity to survive starvation and stress. This model implies that most ribosome hibernation factors are yet to be discovered and predicts the organisms that rely on currently unknown hibernation mechanisms.
- organism: bacteria (other)
- assay: whole-genome sequencing
- research focus: phylogenetics / evolution
- approach: statistical model
- Citations
- 5
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