Design and Experimental Evaluation of a Minimal, Innocuous Watermarking Strategy to Distinguish Near-Identical DNA and RNA Sequences

Journal Article (2020)
Authors

Francine J. Boonekamp (TU Delft - BT/Industriele Microbiologie)

Sofia Dashko (TU Delft - BT/Industriele Microbiologie)

Donna Duiker (Student TU Delft)

Thies Gehrmann (Westerdijk Institute)

MA van den Broek (TU Delft - BT/Industriele Microbiologie)

Maxime Ridder (OLD BT/Cell Systems Engineering)

Martin Pabst (OLD BT/Cell Systems Engineering)

Vincent Robert (Westerdijk Institute)

T.E.P.M.F. Abeel (TU Delft - Pattern Recognition and Bioinformatics)

Eline D. Postma (TU Delft - BT/Industriele Microbiologie)

Jean-Marc Daran (TU Delft - BT/Industriele Microbiologie)

P.A.S. Daran-Lapujade (TU Delft - BT/Industriele Microbiologie)

Research Group
BT/Industriele Microbiologie
Copyright
© 2020 F.J. Boonekamp, S. Dashko, Donna Duiker, T. Gehrmann, M.A. van den Broek, M.J. den Ridder, Martin Pabst, Vincent Robert, T.E.P.M.F. Abeel, E.D. Postma, J.G. Daran, P.A.S. Daran-Lapujade
To reference this document use:
https://doi.org/10.1021/acssynbio.0c00045
More Info
expand_more
Publication Year
2020
Language
English
Copyright
© 2020 F.J. Boonekamp, S. Dashko, Donna Duiker, T. Gehrmann, M.A. van den Broek, M.J. den Ridder, Martin Pabst, Vincent Robert, T.E.P.M.F. Abeel, E.D. Postma, J.G. Daran, P.A.S. Daran-Lapujade
Research Group
BT/Industriele Microbiologie
Issue number
6
Volume number
9
Pages (from-to)
1361-1375
DOI:
https://doi.org/10.1021/acssynbio.0c00045
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

The construction of powerful cell factories requires intensive and extensive remodelling of microbial genomes. Considering the rapidly increasing number of these synthetic biology endeavors, there is an increasing need for DNA watermarking strategies that enable the discrimination between synthetic and native gene copies. While it is well documented that codon usage can affect translation, and most likely mRNA stability in eukaryotes, remarkably few quantitative studies explore the impact of watermarking on transcription, protein expression, and physiology in the popular model and industrial yeast Saccharomyces cerevisiae. The present study, using S. cerevisiae as eukaryotic paradigm, designed, implemented, and experimentally validated a systematic strategy to watermark DNA with minimal alteration of yeast physiology. The 13 genes encoding proteins involved in the major pathway for sugar utilization (i.e., glycolysis and alcoholic fermentation) were simultaneously watermarked in a yeast strain using the previously published pathway swapping strategy. Carefully swapping codons of these naturally codon optimized, highly expressed genes, did not affect yeast physiology and did not alter transcript abundance, protein abundance, and protein activity besides a mild effect on Gpm1. The markerQuant bioinformatics method could reliably discriminate native from watermarked genes and transcripts. Furthermore, presence of watermarks enabled selective CRISPR/Cas genome editing, specifically targeting the native gene copy while leaving the synthetic, watermarked variant intact. This study offers a validated strategy to simply watermark genes in S. cerevisiae.