Why AGG is associated with high transgene output: passenger effects and their implications for transgene design

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Abstract

In bacteria, high A and low G content of the 5′ end of the coding sequence (CDS) promotes low RNA stability, facilitating ribosomal initiation and subsequently a high protein to transcript ratio. Additionally, 5′ NGG codons are suppressive owing to peptidyl-tRNA drop off. It was, therefore, surprising that the first large-scale transgene experiment to interrogate the 5′ effect by codon randomization found the NGG, G-rich codon AGG to be the most associated with high transgene output. Why is this? We show that this is not replicated in other large transgene datasets, where AGG and NGG are associated with low efficiency. More generally, there is limited agreement between the first experiment and others. This we find to be a consequence of non-random construct design. In constructs of the first experiment, AGG disproportionately occurs with non-AGG codons associated with low stability and high protein output, making AGG’s association with high output an artefact. While translationally non-optimal codons like AGG are conjectured to slow ribosomes for orderly initiation, we find that in the less biased constructs high, not low, translational adaptation in the first 10 codons is (weakly) predictive of higher translational efficiency. These results have implications for both transgene and experimental design.
Original languageEnglish
Article numberlqaf086
JournalNAR Genomics and Bioinformatics
Volume7
Issue number2
Early online date19 Jun 2025
DOIs
Publication statusPublished - 25 Jun 2025

Data Availability Statement

All input data and downstream scripts, both processing and figure/statistical analyses are available at https://doi.org/10.5281/zenodo.15084715. Supplementary Data is available at NAR Genomics & Bioinformatics online.

Funding

We acknowledge the funding provided by Evolution Education Trust and the co-supervision of Dr Namshik Han (Milner Therapeutics Institute, University of Cambridge) to support the research conducted by S.R. Research by S.R. is funded by the Evolution Education Trust.

FundersFunder number
Evolution Education Trust
Milner Therapeutics Institute
University of Cambridge

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