Evidence map›Paper›PMID 37117168›Full record

ArticleNature communications2023

Robustness and innovation in synthetic genotype networks.

Javier Santos-Moreno, Eve Tasiudi, Hadiastri Kusumawardhani, Joerg Stelling, Yolanda Schaerli

Abstract read
In one paragraph

Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Review
  2. Article
  3. Design of CRISPRi-Based Synthetic Gene Circuits in Bacteria.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Evolvability in vertebrate segmentation.Seminars in cell & developmental biology · 2025
    Review
  9. Article
  10. Article
  11. Article
  12. Bioengineering hybrid artificial life.Frontiers in bioinformatics · 2025
    Review
  13. Morphogens in the evolution of size, shape and patterning.Development (Cambridge, England) · 2024
    Review
  14. Review
  15. Article
  16. Article
  17. Mutation bias and the predictability of evolution.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 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

5 authors.

Javier Santos-Moreno *Department of Fundamental Microbiology, University of Lausanne, Biophore Building, 1015, Lausanne, Switzerland.ORCID 0000-0001-6268-2623
Eve Tasiudi *Department of Biosystems Science and Engineering, ETH Zurich and SIB Swiss Institute of Bioinformatics, Basel, Switzerland.ORCID 0000-0002-5425-7675
Hadiastri KusumawardhaniDepartment of Fundamental Microbiology, University of Lausanne, Biophore Building, 1015, Lausanne, Switzerland.ORCID 0000-0003-2755-5017
Joerg StellingDepartment of Biosystems Science and Engineering, ETH Zurich and SIB Swiss Institute of Bioinformatics, Basel, Switzerland. joerg.stelling@bsse.ethz.ch.ORCID 0000-0002-1145-891X
Yolanda SchaerliDepartment of Fundamental Microbiology, University of Lausanne, Biophore Building, 1015, Lausanne, Switzerland. yolanda.schaerli@unil.ch.ORCID 0000-0002-9083-7343

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genotype networks are sets of genotypes connected by small mutational changes that share the same phenotype. They facilitate evolutionary innovation by enabling the exploration of different neighborhoods in genotype space. Genotype networks, first suggested by theoretical models, have been empirically confirmed for proteins and RNAs. Comparative studies also support their existence for gene regulatory networks (GRNs), but direct experimental evidence is lacking. Here, we report the construction of three interconnected genotype networks of synthetic GRNs producing three distinct phenotypes in Escherichia coli. Our synthetic GRNs contain three nodes regulating each other by CRISPR interference and governing the expression of fluorescent reporters. The genotype networks, composed of over twenty different synthetic GRNs, provide robustness in face of mutations while enabling transitions to innovative phenotypes. Through realistic mathematical modeling, we quantify robustness and evolvability for the complete genotype-phenotype map and link these features mechanistically to GRN motifs. Our work thereby exemplifies how GRN evolution along genotype networks might be driving evolutionary innovation.

Indexed as

Gene Regulatory NetworksModels, GeneticGenotypeMutationPhenotype

Identifiers

PMID37117168
PMCPMC10147661

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.