Evidence map›Paper›PMID 27601680›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2016

Emergent rules for codon choice elucidated by editing rare arginine codons in Escherichia coli.

Michael G Napolitano, Matthieu Landon, Christopher J Gregg, Marc J Lajoie, Lakshmi Govindarajan, Joshua A Mosberg, Gleb Kuznetsov, Daniel B Goodman, Oscar Vargas-Rodriguez, Farren J Isaacs and 2 more

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

36 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Genomically recodedbioRxiv : the preprint server for biology · 2024
    Article
  9. Review
  10. Recent advances in genome-scale engineering inEngineering microbiology · 2024
    Review
  11. Article
  12. Review
  13. Investigation of Genome Biology by Synthetic Genome Engineering.Bioengineering (Basel, Switzerland) · 2023
    Review
  14. Article
  15. Article
  16. Review
  17. Review
  18. Article
  19. Reprogramming the genetic code.Nature reviews. Genetics · 2021
    Review
  20. Recombineering and MAGE.Nature reviews. Methods primers · 2021
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Michael G NapolitanoDepartment of Genetics, Harvard Medical School, Boston, MA 02115; Wyss Institute for Biologically Inspired Engineering, Harvard Medical School, Boston, MA 02115; Biological and Biomedical Sciences, Harvard Medical School, Boston, MA 02115;
Matthieu LandonDepartment of Genetics, Harvard Medical School, Boston, MA 02115; Wyss Institute for Biologically Inspired Engineering, Harvard Medical School, Boston, MA 02115; Systems Biology Graduate Program, Harvard Medical School, Boston, MA 02115; Ecole des Mines de Paris, Mines Paristech, 75272 Paris, France;
Christopher J GreggDepartment of Genetics, Harvard Medical School, Boston, MA 02115; Wyss Institute for Biologically Inspired Engineering, Harvard Medical School, Boston, MA 02115;
Marc J LajoieDepartment of Genetics, Harvard Medical School, Boston, MA 02115; Wyss Institute for Biologically Inspired Engineering, Harvard Medical School, Boston, MA 02115; Program in Chemical Biology, Harvard University, Cambridge, MA 02138; gchurch@genetics.med.harvard.edu mlajoie@uw.edu.
Lakshmi GovindarajanNational University of Singapore, School of Computing, Singapore 117417;
Joshua A MosbergDepartment of Genetics, Harvard Medical School, Boston, MA 02115; Wyss Institute for Biologically Inspired Engineering, Harvard Medical School, Boston, MA 02115; Program in Chemical Biology, Harvard University, Cambridge, MA 02138;
Gleb KuznetsovDepartment of Genetics, Harvard Medical School, Boston, MA 02115; Wyss Institute for Biologically Inspired Engineering, Harvard Medical School, Boston, MA 02115; Program in Biophysics, Harvard University, Boston, MA 02115;
Daniel B GoodmanDepartment of Genetics, Harvard Medical School, Boston, MA 02115; Wyss Institute for Biologically Inspired Engineering, Harvard Medical School, Boston, MA 02115; Harvard-MIT Health Sciences and Technology, Cambridge, MA 02139;
Oscar Vargas-RodriguezDepartment of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT 06516;
Farren J IsaacsMolecular, Cellular, Developmental and Systems Biology Institute, Yale University, New Haven, CT 06516;
Dieter SöllDepartment of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT 06516; Department of Chemistry Yale University, New Haven, CT 06516.
George M ChurchDepartment of Genetics, Harvard Medical School, Boston, MA 02115; Wyss Institute for Biologically Inspired Engineering, Harvard Medical School, Boston, MA 02115; gchurch@genetics.med.harvard.edu mlajoie@uw.edu.

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
TRANSFER RNAR01GM022854 · NIGMS · YALE UNIVERSITY · PI SOLL, DIETER · 1985 to 2016
$21.3M
MOLECULAR BIOPHYSICS TRAINING GRANTT32GM008313 · NIGMS · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI MURTHY, VENKATESH N · 1989 to 2023
$14.6M
NCATS NIH HHS UL1 TR001863NIGMS NIH HHS R01 GM022854NIGMS NIH HHS T32 GM008313
6 · The paper itself

Abstract

The degeneracy of the genetic code allows nucleic acids to encode amino acid identity as well as noncoding information for gene regulation and genome maintenance. The rare arginine codons AGA and AGG (AGR) present a case study in codon choice, with AGRs encoding important transcriptional and translational properties distinct from the other synonymous alternatives (CGN). We created a strain of Escherichia coli with all 123 instances of AGR codons removed from all essential genes. We readily replaced 110 AGR codons with the synonymous CGU codons, but the remaining 13 "recalcitrant" AGRs required diversification to identify viable alternatives. Successful replacement codons tended to conserve local ribosomal binding site-like motifs and local mRNA secondary structure, sometimes at the expense of amino acid identity. Based on these observations, we empirically defined metrics for a multidimensional "safe replacement zone" (SRZ) within which alternative codons are more likely to be viable. To evaluate synonymous and nonsynonymous alternatives to essential AGRs further, we implemented a CRISPR/Cas9-based method to deplete a diversified population of a wild-type allele, allowing us to evaluate exhaustively the fitness impact of all 64 codon alternatives. Using this method, we confirmed the relevance of the SRZ by tracking codon fitness over time in 14 different genes, finding that codons that fall outside the SRZ are rapidly depleted from a growing population. Our unbiased and systematic strategy for identifying unpredicted design flaws in synthetic genomes and for elucidating rules governing codon choice will be crucial for designing genomes exhibiting radically altered genetic codes.

Indexed as

Amino AcidsArginineCodonEscherichia coliGenes, EssentialGenetic CodeGenome, BacterialProtein BiosynthesisRNA, MessengerAmino AcidsArginineCodonRNA, Messengercodon choicegenome editingrecoded genomes

Identifiers

PMID27601680
PMCPMC5035903

What OpenQuestion holds

Textmetadata
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.