Evidence map›Paper›PMID 32382123›Full record

ReviewNature reviews. Genetics2020

The genomics of coloration provides insights into adaptive evolution.

Anna Orteu, Chris D Jiggins

Erratum issuedAbstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 72 papers.

0numbers the graph read from it
0cells of the map it votes in
72citing papers in PubMed
10.1field-weighted citation impact, top 1% 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

72 citing papers in PubMed, 159 citations in OpenAlex.

  1. Genetics and genomics of hybridization.Nature reviews. Genetics · 2026
    Review
  2. Deconstruction ofbioRxiv : the preprint server for biology · 2026
    Article
  3. Review
  4. Article
  5. Article
  6. Review
  7. Adaptation: by giant leaps or many tiny steps?Nature reviews. Genetics · 2026
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Effects ofJournal of animal science and technology · 2025
    Article
  19. The next generation of colour pattern genomics.Nature ecology & evolution · 2025
    Article
  20. Article

12 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Anna OrteuDepartment of Zoology, University of Cambridge, Cambridge, UK. af658@cam.ac.uk.ORCID http://orcid.org/0000-0002-3911-0747
Chris D JigginsDepartment of Zoology, University of Cambridge, Cambridge, UK. c.jiggins@zoo.cam.ac.uk.ORCID http://orcid.org/0000-0002-7809-062X
University of Cambridge · GB

Funding

Biotechnology and Biological Sciences Research Council BB/R007500/1
6 · The paper itself

Abstract

Coloration is an easily quantifiable visual trait that has proven to be a highly tractable system for genetic analysis and for studying adaptive evolution. The application of genomic approaches to evolutionary studies of coloration is providing new insight into the genetic architectures underlying colour traits, including the importance of large-effect mutations and supergenes, the role of development in shaping genetic variation and the origins of adaptive variation, which often involves adaptive introgression. Improved knowledge of the genetic basis of traits can facilitate field studies of natural selection and sexual selection, making it possible for strong selection and its influence on the genome to be demonstrated in wild populations.

Indexed as

Adaptation, BiologicalBiological EvolutionGenomeGenomicsQuantitative Trait, HeritableAnimalsGenetic VariationMultifactorial InheritanceMutationPhenotypePigmentationPigments, BiologicalQuantitative Trait LociSelection, GeneticPigments, Biological

Identifiers

PMID32382123
OpenAlexW3023241302

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.