Evidence map›Paper›PMID 35634925›Full record

ReviewPhilosophical transactions of the Royal Society of London. Series B, Biological sciences2022

A synthetic synthesis to explore animal evolution and development.

Mindy Liu Perkins, Lautaro Gandara, Justin Crocker

Open access · hybridAbstract readReview
In one paragraph

Review in Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.0field-weighted citation impact, top 27% 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

4 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Interdisciplinary approaches to predicting evolutionary biology.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023
    Article
  3. Mutational scans reveal differential evolvability ofPhilosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023
    Article
  4. Genetic basis of speciation and adaptation: from loci to causative mutations.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2022
    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

3 authors at 1 institution in 4 countries.

Mindy Liu PerkinsDevelopmental Biology Unit, European Molecular Biology Laboratory, 69117 Heidelberg, Germany.ORCID 0000-0001-7839-5055
Lautaro GandaraDevelopmental Biology Unit, European Molecular Biology Laboratory, 69117 Heidelberg, Germany.ORCID 0000-0003-3695-6592
Justin CrockerDevelopmental Biology Unit, European Molecular Biology Laboratory, 69117 Heidelberg, Germany.ORCID 0000-0002-5113-0476
Developmental Studies Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Identifying the general principles by which genotypes are converted into phenotypes remains a challenge in the post-genomic era. We still lack a predictive understanding of how genes shape interactions among cells and tissues in response to signalling and environmental cues, and hence how regulatory networks generate the phenotypic variation required for adaptive evolution. Here, we discuss how techniques borrowed from synthetic biology may facilitate a systematic exploration of evolvability across biological scales. Synthetic approaches permit controlled manipulation of both endogenous and fully engineered systems, providing a flexible platform for investigating causal mechanisms

Indexed as

GenomicsSynthetic BiologyAdaptation, PhysiologicalAnimalsGenomePhenotypebiophysical constraintsenhancerevolvabilitygene regulatory networkphenomicssynthetic biology

Identifiers

PMID35634925
PMCPMC9149795
OpenAlexW4281758979

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.