Evidence map›Paper›PMID 37640765›Full record

ArticleNature ecology & evolution2023

Species-wide genomics of kākāpō provides tools to accelerate recovery.

Joseph Guhlin, Marissa F Le Lec, Jana Wold, Emily Koot, David Winter, Patrick J Biggs, Stephanie J Galla, Lara Urban, Yasmin Foster, Murray P Cox and 14 more

Abstract read
PubMed Publisher
In one paragraph

Article in Nature ecology & evolution, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
8.7field-weighted citation impact, top 2% 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

25 citing papers in PubMed, 36 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Evo-devo and the Biodiversity Crisis.Results and problems in cell differentiation · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Natural dispersal is better than translocation for reducing risks of inbreeding depression in eastern black rhinoceros (Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  12. Article
  13. Article
  14. Article
  15. Microevolutionary change in wild stickleback: Using integrative time-series data to infer responses to selection.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  16. Article
  17. Review
  18. Review
  19. Article
  20. Evolutionary biogeography of Aotearoa.Journal of the Royal Society of New Zealand · 2024
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

24 authors at 10 institutions in 3 countries.

Joseph GuhlinGenomics Aotearoa, Biochemistry Department, School of Biomedical Sciences, University of Otago, Dunedin, Aotearoa New Zealand.ORCID http://orcid.org/0000-0003-3264-7178
Marissa F Le LecGenomics Aotearoa, Biochemistry Department, School of Biomedical Sciences, University of Otago, Dunedin, Aotearoa New Zealand.ORCID http://orcid.org/0000-0002-6724-9519
Jana WoldSchool of Biological Sciences, University of Canterbury, Christchurch, Aotearoa New Zealand.ORCID http://orcid.org/0000-0001-8095-4282
Emily KootThe New Zealand Institute for Plant and Food Research Ltd, Palmerston North, Aotearoa New Zealand.ORCID http://orcid.org/0000-0002-1956-3415
David WinterSchool of Natural Sciences, Massey University, Palmerston North, Aotearoa New Zealand.
Patrick J BiggsSchool of Natural Sciences, Massey University, Palmerston North, Aotearoa New Zealand.ORCID http://orcid.org/0000-0002-0285-4101
Stephanie J GallaSchool of Biological Sciences, University of Canterbury, Christchurch, Aotearoa New Zealand.ORCID http://orcid.org/0000-0002-4650-8067
Lara UrbanDepartment of Anatomy, School of Biomedical Sciences, University of Otago, Dunedin, Aotearoa New Zealand.ORCID http://orcid.org/0000-0002-5445-9314
Yasmin FosterDepartment of Zoology, University of Otago, Dunedin, Aotearoa New Zealand.ORCID http://orcid.org/0000-0002-0377-1244
Murray P CoxSchool of Natural Sciences, Massey University, Palmerston North, Aotearoa New Zealand.ORCID http://orcid.org/0000-0003-1936-0236
Andrew DigbyKākāpō Recovery Programme, Department of Conservation, Invercargill, Aotearoa New Zealand.ORCID http://orcid.org/0000-0002-1870-8811
Lydia R UddstromKākāpō Recovery Programme, Department of Conservation, Invercargill, Aotearoa New Zealand.
Daryl EasonKākāpō Recovery Programme, Department of Conservation, Invercargill, Aotearoa New Zealand.
Deidre VercoeKākāpō Recovery Programme, Department of Conservation, Invercargill, Aotearoa New Zealand.
Tāne DavisRakiura Tītī Islands Administering Body, Invercargill, Aotearoa New Zealand.
Kākāpō Recovery Team
Jason T HowardNeurogenetics of Language Lab, The Rockefeller University, New York, NY, USA.
Erich D JarvisThe Rockefeller University, New York, NY, USA.ORCID http://orcid.org/0000-0001-8931-5049
Fiona E RobertsonDepartment of Zoology, University of Otago, Dunedin, Aotearoa New Zealand.
Bruce C RobertsonDepartment of Zoology, University of Otago, Dunedin, Aotearoa New Zealand.ORCID http://orcid.org/0000-0002-5348-2731
Neil J GemmellDepartment of Anatomy, School of Biomedical Sciences, University of Otago, Dunedin, Aotearoa New Zealand.ORCID http://orcid.org/0000-0003-0671-3637
Tammy E SteevesSchool of Biological Sciences, University of Canterbury, Christchurch, Aotearoa New Zealand.ORCID http://orcid.org/0000-0003-2112-5761
Anna W SantureSchool of Biological Sciences, University of Auckland, Auckland, Aotearoa New Zealand.ORCID http://orcid.org/0000-0001-8965-1042
Peter K DeardenGenomics Aotearoa, Biochemistry Department, School of Biomedical Sciences, University of Otago, Dunedin, Aotearoa New Zealand. peter.dearden@otago.ac.nz.ORCID http://orcid.org/0000-0001-7790-9675
University of Otago · NZUniversity of Auckland · NZMassey University · NZUniversity of Canterbury · NZBoise State University · USHelmholtz Zentrum München · DEHoward Hughes Medical Institute · USMassachusetts Institute of Technology · USPlant & Food Research · NZRockefeller University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The kākāpō is a critically endangered, intensively managed, long-lived nocturnal parrot endemic to Aotearoa New Zealand. We generated and analysed whole-genome sequence data for nearly all individuals living in early 2018 (169 individuals) to generate a high-quality species-wide genetic variant callset. We leverage extensive long-term metadata to quantify genome-wide diversity of the species over time and present new approaches using probabilistic programming, combined with a phenotype dataset spanning five decades, to disentangle phenotypic variance into environmental and genetic effects while quantifying uncertainty in small populations. We find associations for growth, disease susceptibility, clutch size and egg fertility within genic regions previously shown to influence these traits in other species. Finally, we generate breeding values to predict phenotype and illustrate that active management over the past 45 years has maintained both genome-wide diversity and diversity in breeding values and, hence, evolutionary potential. We provide new pathways for informing future conservation management decisions for kākāpō, including prioritizing individuals for translocation and monitoring individuals with poor growth or high disease risk. Overall, by explicitly addressing the challenge of the small sample size, we provide a template for the inclusion of genomic data that will be transformational for species recovery efforts around the globe.

Indexed as

Endangered SpeciesParrotsAnimalsGenomeGenomicsHumansNew Zealand

Identifiers

PMID37640765
OpenAlexW4386216359

What Socratic 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 Socratic graph.