Back to Search
Start Over
Differential Selection for Translation Efficiency Shapes Translation Machineries in Bacterial Species.
- Source :
- Microorganisms; Apr2024, Vol. 12 Issue 4, p768, 25p
- Publication Year :
- 2024
-
Abstract
- Different bacterial species have dramatically different generation times, from 20–30 min in Escherichia coli to about two weeks in Mycobacterium leprae. The translation machinery in a cell needs to synthesize all proteins for a new cell in each generation. The three subprocesses of translation, i.e., initiation, elongation, and termination, are expected to be under stronger selection pressure to optimize in short-generation bacteria (SGB) such as Vibrio natriegens than in the long-generation Mycobacterium leprae. The initiation efficiency depends on the start codon decoded by the initiation tRNA, the optimal Shine–Dalgarno (SD) decoded by the anti-SD (aSD) sequence on small subunit rRNA, and the secondary structure that may embed the initiation signals and prevent them from being decoded. The elongation efficiency depends on the tRNA pool and codon usage. The termination efficiency in bacteria depends mainly on the nature of the stop codon and the nucleotide immediately downstream of the stop codon. By contrasting SGB with long-generation bacteria (LGB), we predict (1) SGB to have more ribosome RNA operons to produce ribosomes, and more tRNA genes for carrying amino acids to ribosomes, (2) SGB to have a higher percentage of genes using AUG as the start codon and UAA as the stop codon than LGB, (3) SGB to exhibit better codon and anticodon adaptation than LGB, and (4) SGB to have a weaker secondary structure near the translation initiation signals than LGB. These differences between SGB and LGB should be more pronounced in highly expressed genes than the rest of the genes. We present empirical evidence in support of these predictions. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 20762607
- Volume :
- 12
- Issue :
- 4
- Database :
- Complementary Index
- Journal :
- Microorganisms
- Publication Type :
- Academic Journal
- Accession number :
- 176907798
- Full Text :
- https://doi.org/10.3390/microorganisms12040768