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Trade-off between cost and efficiency during mRNA translation is largely driven by natural selection in angiosperms
- Source :
- Plant Systematics and Evolution. 306
- Publication Year :
- 2020
- Publisher :
- Springer Science and Business Media LLC, 2020.
-
Abstract
- Synonymous codons are decoded at different rates during translation elongation, presumably due to the differences in tRNA availability. The biosynthetic cost of each synonymous codon might also differ from each other. Lower cost and higher translation efficiency are both favorable, but optimization of both features is rare. In the plant kingdom, whether the cost-efficiency trade-off/dilemma exists remains largely unknown. To address this, we collected nine well-annotated angiosperms plus additional 60 plant species. We investigated the selection patterns of the cost-efficiency trade-off. At both codon and gene level, the biosynthetic cost and translation efficiency are positively correlated. Higher efficiency is achieved at the expense of higher cost. Interestingly, the genes undergoing stronger selection constraint tend to optimize their cost-efficiency balance. In Arabidopsis, optimized genes are enriched in the most conserved and highly expressed genes. Our study demonstrates the presence of cost-efficiency trade-offs in plants and shows how variation in cost and efficiency interplay at codon and gene levels. Our findings could provide novel perspectives for genome evolution in angiosperms.
- Subjects :
- 0106 biological sciences
Genome evolution
Natural selection
biology
Translation (biology)
Plant Science
biology.organism_classification
Trade-off
010603 evolutionary biology
01 natural sciences
Evolutionary biology
Arabidopsis
Transfer RNA
Gene
health care economics and organizations
Ecology, Evolution, Behavior and Systematics
Selection (genetic algorithm)
010606 plant biology & botany
Subjects
Details
- ISSN :
- 16156110 and 03782697
- Volume :
- 306
- Database :
- OpenAIRE
- Journal :
- Plant Systematics and Evolution
- Accession number :
- edsair.doi...........2bafc9d1c1016759fe573265b951eb04