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A Fluorescence-based Method to Study Bacterial Gene Regulation in Infected Tissues

A Fluorescence-based Method to Study Bacterial Gene Regulation in Infected Tissues

Published on: February 19, 2019

Differential evolution in 3'UTRs leads to specific gene expression in Staphylococcus.

Pilar Menendez-Gil¹, Carlos J Caballero¹, Arancha Catalan-Moreno¹

¹Instituto de Agrobiotecnología (IdAB), CSIC-UPNA-Gobierno de Navarra, 31192-Mutilva, Navarra, Spain.

Nucleic Acids Research

|February 5, 2020

Summary

Bacterial species diversity arises from variations in 3' untranslated regions (3'UTRs) of mRNAs. These non-coding sequences show high diversity and affect protein production, driving species-specific evolution.

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Area of Science:

Microbiology
Evolutionary Biology
Molecular Biology

Background:

Gene expression regulation is key to species differentiation.
3' untranslated regions (3'UTRs) contain regulatory elements, but their role in bacterial divergence is understudied.

Purpose of the Study:

To investigate the role of 3'UTRs in the evolutionary divergence of bacterial species.
To determine if 3'UTR sequence variations impact protein production and contribute to species-specific traits.

Main Methods:

Genome-wide comparative analyses of mRNAs encoding orthologous proteins in Staphylococcus.
Transcriptomic mapping to assess 3'UTR length variability.
Construction of chimeric mRNAs to test the functional impact of 3'UTR variations.

Main Results:

Significant sequence diversity and length variation were observed in the 3'UTRs of orthologous genes across staphylococcal species.
Variations in 3'UTRs were shown to affect protein production levels.
3'UTR variability is widespread in bacteria, including Escherichia coli and Bacillus subtilis.

Conclusions:

Species-specific functional 3'UTRs are likely under evolutionary selection.
3'UTR variations, arising from mechanisms like gene rearrangements and transpositions, contribute to bacterial diversity.
Evolutionary bias in 3'UTRs generates species-specific non-coding sequences that drive bacterial evolution.