The genetic basis of the kākāpō structural color polymorphism suggests balancing selection by an extinct apex predator Article Swipe
Lara Urban
,
Anna W. Santure
,
Lydia Uddstrom
,
Andrew Digby
,
Deidre Vercoe
,
Daryl Eason
,
Jodie M. S. Crane
,
Matthew J. Wylie
,
Tāne Davis
,
Marissa F. LeLec
,
Joseph Guhlin
,
Simon Poulton
,
Jon Slate
,
Alana Alexander
,
Patricia Fuentes-Cross
,
Peter K. Dearden
,
Neil J. Gemmell
,
Farhan Azeem
,
Marvin Weyland
,
Harald G. L. Schwefel
,
Cock van Oosterhout
,
Hernán E. Morales
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1371/journal.pbio.3002755
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1371/journal.pbio.3002755
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.”
Related Topics
Concepts
Biology
Apex predator
Selection (genetic algorithm)
Evolutionary biology
Balancing selection
Predator
Apex (geometry)
Polymorphism (computer science)
Genetics
Genetic variation
Ecology
Anatomy
Gene
Predation
Allele
Artificial intelligence
Computer science
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1371/journal.pbio.3002755
- OA Status
- gold
- Cited By
- 5
- References
- 30
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4402405481
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4402405481Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1371/journal.pbio.3002755Digital Object Identifier
- Title
-
The genetic basis of the kākāpō structural color polymorphism suggests balancing selection by an extinct apex predatorWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-09-10Full publication date if available
- Authors
-
Lara Urban, Anna W. Santure, Lydia Uddstrom, Andrew Digby, Deidre Vercoe, Daryl Eason, Jodie M. S. Crane, Matthew J. Wylie, Tāne Davis, Marissa F. LeLec, Joseph Guhlin, Simon Poulton, Jon Slate, Alana Alexander, Patricia Fuentes-Cross, Peter K. Dearden, Neil J. Gemmell, Farhan Azeem, Marvin Weyland, Harald G. L. Schwefel, Cock van Oosterhout, Hernán E. MoralesList of authors in order
- Landing page
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https://doi.org/10.1371/journal.pbio.3002755Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.1371/journal.pbio.3002755Direct OA link when available
- Concepts
-
Biology, Apex predator, Selection (genetic algorithm), Evolutionary biology, Balancing selection, Predator, Apex (geometry), Polymorphism (computer science), Genetics, Genetic variation, Ecology, Anatomy, Gene, Predation, Allele, Artificial intelligence, Computer scienceTop concepts (fields/topics) attached by OpenAlex
- Cited by
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5Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 5Per-year citation counts (last 5 years)
- References (count)
-
30Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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