Evidence map›Paper›PMID 31209374›Full record

ReviewNature biotechnology2019

Synthetic evolution.

Anna J Simon, Simon d'Oelsnitz, Andrew D Ellington

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature biotechnology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed
4.8field-weighted citation impact, top 4% of its field
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

44 citing papers in PubMed, 92 citations in OpenAlex.

  1. Biological Systems as Physical Data Processors: Evolution as a Case of Embodied Computing.BioEssays : news and reviews in molecular, cellular and developmental biology · 2026
    Review
  2. Article
  3. Article
  4. Review
  5. Whole-genome combinatorial gene fusions generate novel genes for advanced microbial trait development.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  6. Article
  7. Review
  8. Review
  9. Article
  10. Directed evolution of hydrocarbon-producing enzymes.Biotechnology for biofuels and bioproducts · 2025
    Review
  11. The design and engineering of synthetic genomes.Nature reviews. Genetics · 2025
    Review
  12. Article
  13. Review
  14. Review
  15. Article
  16. Article
  17. Review
  18. Review
  19. Article
  20. Evolution and synthetic biology.Current opinion in microbiology · 2023
    Review
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

3 authors at 1 institution in 1 country.

Anna J SimonCenter for Systems and Synthetic Biology and Department of Molecular Biosciences, University of Texas at Austin, Austin, TX, USA.ORCID http://orcid.org/0000-0002-1879-5628
Simon d'OelsnitzCenter for Systems and Synthetic Biology and Department of Molecular Biosciences, University of Texas at Austin, Austin, TX, USA.
Andrew D EllingtonCenter for Systems and Synthetic Biology and Department of Molecular Biosciences, University of Texas at Austin, Austin, TX, USA. ellingtonlab@gmail.com.ORCID http://orcid.org/0000-0001-6246-5338
The University of Texas at Austin · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The combination of modern biotechnologies such as DNA synthesis, λ red recombineering, CRISPR-based editing and next-generation high-throughput sequencing increasingly enables precise manipulation of genes and genomes. Beyond rational design, these technologies also enable the targeted, and potentially continuous, introduction of multiple mutations. While this might seem to be merely a return to natural selection, the ability to target evolution greatly reduces fitness burdens and focuses mutation and selection on those genes and traits that best contribute to a desired phenotype, ultimately throwing evolution into fast forward.

Indexed as

Directed Molecular EvolutionAnimalsCRISPR-Cas SystemsDNAGenetic EngineeringGenomeMutationDNA

Identifiers

PMID31209374
OpenAlexW4211014389

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.