Evidence map›Paper›PMID 40950793›Full record

ReviewEcology and evolution2025

Colour Confusion: Reviewing Ambiguities in the Identification and Classification of Chromatophore Deficiencies Among Amphibians.

John Gould

Abstract readReview
In one paragraph

Review in Ecology and evolution, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

1 author.

John GouldSchool of Environmental and Life Sciences University of Newcastle Callaghan New South Wales Australia.ORCID https://orcid.org/0000-0002-1206-1316

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The colour of amphibian skin and eyes (retina and iris) is the result of light interacting with cells called chromatophores, primarily xanthophores, iridophores and melanophores, that can be found in various combinations. Thus, identifying the chromatophores involved in colour abnormalities in this group is challenging, particularly if it is solely based on a visual comparison of atypical versus typical individuals, as light may be interacting with several types of chromatophores at once. As most records of colour aberrations will likely continue to be based on visual assessments without the procurement of tissue samples, given that these observations are generally opportunistic, there is a need for consistency in how they are classified and explained so that the potential chromatophores that are affected can be deduced. Yet, this is complex as the outcome of different chromatophore defects may differ between species, especially when there are spatial differences in where the defects occur between tissue regions or combinations of abnormalities, while in the presence of other chromatophore types that remain unaffected. In this review, I explore the ambiguity and confusion that currently exists within the literature with regard to terminology used to define colour aberrations among amphibians and the specific types of chromatophores that are assumed to be the basis of colour abnormalities based upon visual assessments. I subsequently establish standards for the terminology and description of colour abnormalities among amphibians, specifically those related to chromatophore deficiencies: hypo-melanism, hypo-xanthism and hypo-iridism. This is followed by guidelines for collecting data on the physical manifestation of chromatophore deficiencies to prevent future ambiguity or errors.

Indexed as

colour aberrationcolour mutationiridophoremelanophorepigmentxanthophore

Identifiers

PMID40950793
PMCPMC12426911

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.