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Determining the effects of temperature on the evolution of bacterial tRNA pools
The genetic code consists of 61 codon coding for 20 amino acids. These codons are recognized by transfer RNAs (tRNA) that bind to specific codons during protein synthesis. Most organisms utilize less than all 61 possible anticodons due to base pair wobble: the ability to have a mismatch with a codon...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Cold Spring Harbor Laboratory
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10592612/ https://www.ncbi.nlm.nih.gov/pubmed/37873246 http://dx.doi.org/10.1101/2023.09.26.559538 |
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author | Jain, Vatsal Cope, Alexander L. |
author_facet | Jain, Vatsal Cope, Alexander L. |
author_sort | Jain, Vatsal |
collection | PubMed |
description | The genetic code consists of 61 codon coding for 20 amino acids. These codons are recognized by transfer RNAs (tRNA) that bind to specific codons during protein synthesis. Most organisms utilize less than all 61 possible anticodons due to base pair wobble: the ability to have a mismatch with a codon at its third nucleotide. Previous studies observed a correlation between the tRNA pool of bacteria and the temperature of their respective environments. However, it is unclear if these patterns represent biological adaptations to maintain the efficiency and accuracy of protein synthesis in different environments. A mechanistic mathematical model of mRNA translation is used to quantify the expected elongation rates and error rate for each codon based on an organism’s tRNA pool. A comparative analysis across a range of bacteria that accounts for covariance due to shared ancestry is performed to quantify the impact of environmental temperature on the evolution of the tRNA pool. We find that thermophiles generally have more anticodons represented in their tRNA pool than mesophiles or psychrophiles. Based on our model, this increased diversity is expected to lead to increased missense errors. The implications of this for protein evolution in thermophiles are discussed. |
format | Online Article Text |
id | pubmed-10592612 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Cold Spring Harbor Laboratory |
record_format | MEDLINE/PubMed |
spelling | pubmed-105926122023-10-24 Determining the effects of temperature on the evolution of bacterial tRNA pools Jain, Vatsal Cope, Alexander L. bioRxiv Article The genetic code consists of 61 codon coding for 20 amino acids. These codons are recognized by transfer RNAs (tRNA) that bind to specific codons during protein synthesis. Most organisms utilize less than all 61 possible anticodons due to base pair wobble: the ability to have a mismatch with a codon at its third nucleotide. Previous studies observed a correlation between the tRNA pool of bacteria and the temperature of their respective environments. However, it is unclear if these patterns represent biological adaptations to maintain the efficiency and accuracy of protein synthesis in different environments. A mechanistic mathematical model of mRNA translation is used to quantify the expected elongation rates and error rate for each codon based on an organism’s tRNA pool. A comparative analysis across a range of bacteria that accounts for covariance due to shared ancestry is performed to quantify the impact of environmental temperature on the evolution of the tRNA pool. We find that thermophiles generally have more anticodons represented in their tRNA pool than mesophiles or psychrophiles. Based on our model, this increased diversity is expected to lead to increased missense errors. The implications of this for protein evolution in thermophiles are discussed. Cold Spring Harbor Laboratory 2023-10-09 /pmc/articles/PMC10592612/ /pubmed/37873246 http://dx.doi.org/10.1101/2023.09.26.559538 Text en https://creativecommons.org/licenses/by/4.0/This work is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/) , which allows reusers to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator. The license allows for commercial use. |
spellingShingle | Article Jain, Vatsal Cope, Alexander L. Determining the effects of temperature on the evolution of bacterial tRNA pools |
title | Determining the effects of temperature on the evolution of bacterial tRNA pools |
title_full | Determining the effects of temperature on the evolution of bacterial tRNA pools |
title_fullStr | Determining the effects of temperature on the evolution of bacterial tRNA pools |
title_full_unstemmed | Determining the effects of temperature on the evolution of bacterial tRNA pools |
title_short | Determining the effects of temperature on the evolution of bacterial tRNA pools |
title_sort | determining the effects of temperature on the evolution of bacterial trna pools |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10592612/ https://www.ncbi.nlm.nih.gov/pubmed/37873246 http://dx.doi.org/10.1101/2023.09.26.559538 |
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