Evidence map›Paper›PMID 39255270›Full record

ArticlePLoS biology2024

The genetic basis of the kākāpō structural color polymorphism suggests balancing selection by an extinct apex predator.

Lara Urban, Anna W Santure, Lydia Uddstrom, Andrew Digby, Deidre Vercoe, Daryl Eason, Jodie Crane, Kākāpō Recovery Team, Matthew J Wylie, Tāne Davis and 13 more

Abstract read
In one paragraph

Article in PLoS biology, 2024. 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
–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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. A century of theories of balancing selection.Biological reviews of the Cambridge Philosophical Society · 2026
    Review
  4. 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

23 authors.

Lara UrbanHelmholtz AI, Helmholtz Munich, Neuherberg, Germany.ORCID https://orcid.org/0000-0002-5445-9314
Anna W SantureSchool of Biological Sciences, University of Auckland, Auckland, New Zealand.
Lydia UddstromKākāpō Recovery Programme, Department of Conservation, Invercargill, Murihiku, Aotearoa New Zealand.
Andrew DigbyKākāpō Recovery Programme, Department of Conservation, Invercargill, Murihiku, Aotearoa New Zealand.
Deidre VercoeKākāpō Recovery Programme, Department of Conservation, Invercargill, Murihiku, Aotearoa New Zealand.
Daryl EasonKākāpō Recovery Programme, Department of Conservation, Invercargill, Murihiku, Aotearoa New Zealand.
Jodie CraneKākāpō Recovery Programme, Department of Conservation, Invercargill, Murihiku, Aotearoa New Zealand.
Kākāpō Recovery Team
Matthew J WylieNgāi Tahu, Ngāti Māmoe, Waitaha, New Zealand.
Tāne DavisKākāpō Recovery Programme, Department of Conservation, Invercargill, Murihiku, Aotearoa New Zealand.
Marissa F LeLecGenomics Aotearoa and Department of Biochemistry, University of Otago, Dunedin, New Zealand.
Joseph GuhlinGenomics Aotearoa and Department of Biochemistry, University of Otago, Dunedin, New Zealand.
Simon PoultonSchool of Biological Sciences, University of East Anglia, Norwich, United Kingdom.
Jon SlateSchool of Biosciences, University of Sheffield, Sheffield, United Kingdom.ORCID https://orcid.org/0000-0003-3356-5123
Alana AlexanderDepartment of Anatomy, University of Otago, Dunedin, New Zealand.
Patricia Fuentes-CrossDepartment of Anatomy, University of Otago, Dunedin, New Zealand.
Peter K DeardenGenomics Aotearoa and Department of Biochemistry, University of Otago, Dunedin, New Zealand.ORCID https://orcid.org/0000-0001-7790-9675
Neil J GemmellDepartment of Anatomy, University of Otago, Dunedin, New Zealand.
Farhan AzeemDepartment of Physics, University of Otago, Dunedin, New Zealand.
Marvin WeylandDepartment of Physics, University of Otago, Dunedin, New Zealand.
Harald G L SchwefelDepartment of Physics, University of Otago, Dunedin, New Zealand.
Cock van OosterhoutSchool of Environmental Sciences, University of East Anglia, Norwich Research Park, Norwich, United Kingdom.
Hernán E MoralesGlobe Institute, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.ORCID https://orcid.org/0000-0002-2964-020X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The information contained in population genomic data can tell us much about the past ecology and evolution of species. We leveraged detailed phenotypic and genomic data of nearly all living kākāpō to understand the evolution of its feather color polymorphism. The kākāpō is an endangered and culturally significant parrot endemic to Aotearoa New Zealand, and the green and olive feather colorations are present at similar frequencies in the population. The presence of such a neatly balanced color polymorphism is remarkable because the entire population currently numbers less than 250 birds, which means it has been exposed to severe genetic drift. We dissected the color phenotype, demonstrating that the two colors differ in their light reflectance patterns due to differential feather structure. We used quantitative genomics methods to identify two genetic variants whose epistatic interaction can fully explain the species' color phenotype. Our genomic forward simulations show that balancing selection might have been pivotal to establish the polymorphism in the ancestrally large population, and to maintain it during population declines that involved a severe bottleneck. We hypothesize that an extinct apex predator was the likely agent of balancing selection, making the color polymorphism in the kākāpō a "ghost of selection past."

Indexed as

FeathersParrotsPigmentationSelection, GeneticAnimalsColorNew ZealandPhenotypePolymorphism, GeneticPredatory Behavior

Identifiers

PMID39255270
PMCPMC11386469

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.