Evidence map›Paper›PMID 28499033›Full record

ArticleNucleic acids research2017

Large-scale recoding of a bacterial genome by iterative recombineering of synthetic DNA.

Yu Heng Lau, Finn Stirling, James Kuo, Michiel A P Karrenbelt, Yujia A Chan, Adam Riesselman, Connor A Horton, Elena Schäfer, David Lips, Matthew T Weinstock and 3 more

Abstract read
In one paragraph

Article in Nucleic acids research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed
–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

46 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. The design and engineering of synthetic genomes.Nature reviews. Genetics · 2025
    Review
  6. Article
  7. Article
  8. Genomically recodedbioRxiv : the preprint server for biology · 2024
    Article
  9. Synthetic genomes unveil the effects of synonymous recoding.bioRxiv : the preprint server for biology · 2024
    Article
  10. Review
  11. Microbial Catalysis for COCold Spring Harbor perspectives in biology · 2024
    Review
  12. Article
  13. Engineering bacteria for cancer immunotherapy.Current opinion in biotechnology · 2024
    Review
  14. Article
  15. Review
  16. Article
  17. Article
  18. Review
  19. Review
  20. 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

13 authors.

Yu Heng LauWyss Institute for Biologically Inspired Engineering, Harvard University, 3 Blackfan Circle, 5th Floor, Boston, MA 02115, USA.
Finn StirlingWyss Institute for Biologically Inspired Engineering, Harvard University, 3 Blackfan Circle, 5th Floor, Boston, MA 02115, USA.
James KuoWyss Institute for Biologically Inspired Engineering, Harvard University, 3 Blackfan Circle, 5th Floor, Boston, MA 02115, USA.
Michiel A P KarrenbeltWyss Institute for Biologically Inspired Engineering, Harvard University, 3 Blackfan Circle, 5th Floor, Boston, MA 02115, USA.
Yujia A ChanWyss Institute for Biologically Inspired Engineering, Harvard University, 3 Blackfan Circle, 5th Floor, Boston, MA 02115, USA.
Adam RiesselmanProgram in Biomedical Informatics, Harvard Medical School, Boston, MA 02115, USA.
Connor A HortonWyss Institute for Biologically Inspired Engineering, Harvard University, 3 Blackfan Circle, 5th Floor, Boston, MA 02115, USA.
Elena SchäferWyss Institute for Biologically Inspired Engineering, Harvard University, 3 Blackfan Circle, 5th Floor, Boston, MA 02115, USA.
David LipsWyss Institute for Biologically Inspired Engineering, Harvard University, 3 Blackfan Circle, 5th Floor, Boston, MA 02115, USA.
Matthew T WeinstockSynthetic Genomics, Inc., 11149 North Torrey Pines Road, La Jolla, CA 92037, USA.
Daniel G GibsonSynthetic Genomics, Inc., 11149 North Torrey Pines Road, La Jolla, CA 92037, USA.
Jeffrey C WayWyss Institute for Biologically Inspired Engineering, Harvard University, 3 Blackfan Circle, 5th Floor, Boston, MA 02115, USA.
Pamela A SilverWyss Institute for Biologically Inspired Engineering, Harvard University, 3 Blackfan Circle, 5th Floor, Boston, MA 02115, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The ability to rewrite large stretches of genomic DNA enables the creation of new organisms with customized functions. However, few methods currently exist for accumulating such widespread genomic changes in a single organism. In this study, we demonstrate a rapid approach for rewriting bacterial genomes with modified synthetic DNA. We recode 200 kb of the Salmonella typhimurium LT2 genome through a process we term SIRCAS (stepwise integration of rolling circle amplified segments), towards constructing an attenuated and genetically isolated bacterial chassis. The SIRCAS process involves direct iterative recombineering of 10-25 kb synthetic DNA constructs which are assembled in yeast and amplified by rolling circle amplification. Using SIRCAS, we create a Salmonella with 1557 synonymous leucine codon replacements across 176 genes, the largest number of cumulative recoding changes in a single bacterial strain to date. We demonstrate reproducibility over sixteen two-day cycles of integration and parallelization for hierarchical construction of a synthetic genome by conjugation. The resulting recoded strain grows at a similar rate to the wild-type strain and does not exhibit any major growth defects. This work is the first instance of synthetic bacterial recoding beyond the Escherichia coli genome, and reveals that Salmonella is remarkably amenable to genome-scale modification.

Indexed as

CodonDNA, BacterialGenes, BacterialGenes, SyntheticGenetic EngineeringGenome, BacterialLeucineMicrobial ViabilityReproducibility of ResultsSalmonella typhimuriumCodonDNA, BacterialLeucine

Identifiers

PMID28499033
PMCPMC5499800

What OpenQuestion holds

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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.