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Related Experiment Video

Updated: Apr 1, 2026

In Vivo Monitoring of Transcriptional Activity During Metabolic Transition Using a Bioluminescent Reporter in Yeast

In Vivo Monitoring of Transcriptional Activity During Metabolic Transition Using a Bioluminescent Reporter in Yeast

Published on: February 21, 2025

Evolutionary Pressures on the Yeast Transcriptome.

Dominique Chu, Anton Salykin

IEEE/ACM Transactions on Computational Biology and Bioinformatics

|October 10, 2015

Summary

This summary is machine-generated.

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Codon usage bias is driven by selection for translation speed. Comparing mRNA with synonymous variants confirms the Gromadski-Rodnina model

Area of Science:

Molecular Biology
Evolutionary Biology
Genomics

Background:

Codon usage bias (CUB) describes unequal synonymous codon frequencies, likely due to adaptive pressures.
The Gromadski-Rodnina model is the standard for calculating translation speed, but its relevance is debated.

Purpose of the Study:

To investigate the role of translation speed in codon usage bias.
To evaluate the validity of the Gromadski-Rodnina model using a novel approach.

Main Methods:

Comparing natural messenger RNA (mRNA) sequences with random synonymous variants.
Estimating evolutionary pressures acting on the transcriptome.

Main Results:

Over 70% of open reading frames (ORFs) show strong selection for translation speed.

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High Throughput Yeast Strain Phenotyping with Droplet-Based RNA Sequencing

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In Vivo Monitoring of Transcriptional Activity During Metabolic Transition Using a Bioluminescent Reporter in Yeast

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Published on: February 21, 2025

Techniques for the Evolution of Robust Pentose-fermenting Yeast for Bioconversion of Lignocellulose to Ethanol

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Published on: October 24, 2016

High Throughput Yeast Strain Phenotyping with Droplet-Based RNA Sequencing

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Published on: May 21, 2020

Evidence of selection pressure to avoid translational "traffic jams" was found.

Both homogeneous and highly heterogeneous transcripts are over-represented.

Conclusions:

The findings support the Gromadski-Rodnina model's relevance in understanding translation dynamics.
Selection for translation speed and avoidance of traffic jams are significant evolutionary pressures on the transcriptome.