Author
Listed:
- Grégory Boël
(702 Fairchild Center, MC2434, Columbia University
CNRS UMR8261, Institut de Biologie Physico-Chimique)
- Reka Letso
(702 Fairchild Center, MC2434, Columbia University)
- Helen Neely
(702 Fairchild Center, MC2434, Columbia University)
- W. Nicholson Price
(702 Fairchild Center, MC2434, Columbia University
†Present address: WNP, University of New Hampshire School of Law, 2 White Street, Concord, New Hampshire 03301, USA.)
- Kam-Ho Wong
(702 Fairchild Center, MC2434, Columbia University)
- Min Su
(702 Fairchild Center, MC2434, Columbia University)
- Jon D. Luff
(702 Fairchild Center, MC2434, Columbia University)
- Mayank Valecha
(702 Fairchild Center, MC2434, Columbia University)
- John K. Everett
(Center for Advanced Biotechnology and Medicine, Rutgers, the State University of New Jersey)
- Thomas B. Acton
(Center for Advanced Biotechnology and Medicine, Rutgers, the State University of New Jersey)
- Rong Xiao
(Center for Advanced Biotechnology and Medicine, Rutgers, the State University of New Jersey)
- Gaetano T. Montelione
(Center for Advanced Biotechnology and Medicine, Rutgers, the State University of New Jersey
Robert Wood Johnson Medical School, Rutgers, the State University of New Jersey)
- Daniel P. Aalberts
(Williams College)
- John F. Hunt
(702 Fairchild Center, MC2434, Columbia University)
Abstract
Degeneracy in the genetic code, which enables a single protein to be encoded by a multitude of synonymous gene sequences, has an important role in regulating protein expression, but substantial uncertainty exists concerning the details of this phenomenon. Here we analyse the sequence features influencing protein expression levels in 6,348 experiments using bacteriophage T7 polymerase to synthesize messenger RNA in Escherichia coli. Logistic regression yields a new codon-influence metric that correlates only weakly with genomic codon-usage frequency, but strongly with global physiological protein concentrations and also mRNA concentrations and lifetimes in vivo. Overall, the codon content influences protein expression more strongly than mRNA-folding parameters, although the latter dominate in the initial ~16 codons. Genes redesigned based on our analyses are transcribed with unaltered efficiency but translated with higher efficiency in vitro. The less efficiently translated native sequences show greatly reduced mRNA levels in vivo. Our results suggest that codon content modulates a kinetic competition between protein elongation and mRNA degradation that is a central feature of the physiology and also possibly the regulation of translation in E. coli.
Suggested Citation
Grégory Boël & Reka Letso & Helen Neely & W. Nicholson Price & Kam-Ho Wong & Min Su & Jon D. Luff & Mayank Valecha & John K. Everett & Thomas B. Acton & Rong Xiao & Gaetano T. Montelione & Daniel P. A, 2016.
"Codon influence on protein expression in E. coli correlates with mRNA levels,"
Nature, Nature, vol. 529(7586), pages 358-363, January.
Handle:
RePEc:nat:nature:v:529:y:2016:i:7586:d:10.1038_nature16509
DOI: 10.1038/nature16509
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