Evidence map›Paper›PMID 40171701›Full record

ArticleGenome biology and evolution2025

Parameterizing Pantherinae: De Novo Mutation Rate Estimates from Panthera and Neofelis Pedigrees.

Ellie E Armstrong, Sarah B Carey, Alex Harkess, Gabriele Zenato Lazzari, Katherine A Solari, Jesús E Maldonado, Robert C Fleischer, Neel Aziz, Patricia Walsh, Klaus-Peter Koepfli and 3 more

Abstract read
In one paragraph

Article in Genome biology and evolution, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. ThebioRxiv : the preprint server for biology · 2026
    Article
  4. Article
  5. Exceedingly low genetic diversity in snow leopards due to persistently small population size.Proceedings of the National Academy of Sciences of the United States of America · 2025
    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

13 authors.

Ellie E ArmstrongDepartment of Biology, Stanford University, Stanford, CA, USA.ORCID 0000-0001-7107-6318
Sarah B CareyHudsonAlpha Institute for Biotechnology, Huntsville, AL, USA.ORCID 0000-0002-6431-0660
Alex HarkessHudsonAlpha Institute for Biotechnology, Huntsville, AL, USA.ORCID 0000-0002-2035-0871
Gabriele Zenato LazzariSchool of Health and Life Sciences, Pontifical Catholic University of Rio Grande do Sul, Porto Alegre, RS, Brazil.ORCID 0000-0002-0898-7618
Katherine A SolariDepartment of Biology, Stanford University, Stanford, CA, USA.ORCID 0000-0001-7029-6554
Jesús E MaldonadoCenter for Conservation Genomics, Smithsonian's National Zoo and Conservation Biology Institute, Washington, DC, USA.ORCID 0000-0002-4282-1072
Robert C FleischerCenter for Conservation Genomics, Smithsonian's National Zoo and Conservation Biology Institute, Washington, DC, USA.ORCID 0000-0002-2792-7055
Neel AzizDepartment of Animal Care Sciences, Smithsonian's National Zoo and Conservation Biology Institute, Washington, DC, USA.ORCID 0009-0005-5561-7424
Patricia WalshDepartment of Animal Care Sciences, Smithsonian's National Zoo and Conservation Biology Institute, Washington, DC, USA.ORCID 0009-0007-9780-8805
Klaus-Peter KoepfliSmithsonian-Mason School of Conservation, George Mason University, Front Royal, VA, USA.ORCID 0000-0001-7281-0676
Eduardo EizirikSchool of Health and Life Sciences, Pontifical Catholic University of Rio Grande do Sul, Porto Alegre, RS, Brazil.ORCID 0000-0002-9658-0999
Dmitri A PetrovDepartment of Biology, Stanford University, Stanford, CA, USA.ORCID 0000-0002-3664-9130
Michael G CampanaCenter for Conservation Genomics, Smithsonian's National Zoo and Conservation Biology Institute, Washington, DC, USA.ORCID 0000-0003-0461-6462

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Estimates of de novo mutation rates are essential for phylogenetic and demographic analyses, but their inference has previously been impeded by high error rates in sequence data and uncertainty in the fossil record. Here, we directly estimate de novo germline mutation rates for all extant members of Panthera, as well as the closely related outgroup Neofelis nebulosa, using pedigrees. We use a previously validated pipeline (RatesTools) to calculate mutation rates for each species and subsequently explore the impacts of the novel rates on historic effective population size estimates in each of these charismatic felids of conservation concern. Importantly, we find that the choice of reference genome, the data type and coverage, and the individual all impact estimates of the mutation rate, but these can be largely ameliorated through extensive manual curation. Despite these stochastic effects, manual validation of de novo mutation candidates permitted the reliable inference of pantherine mutation rates. We inferred that base pair mutation rates for all species fell between 3.6 × 10-9 and 7.6 × 10-9 per generation per base pair (mean 5.5 × 10-9 ± 1.7 × 10-9 across Pantherinae at a mean parental age of 5.5 years). Similar to other studies, we show a positive trend of mean parental age with mutation rate and our inferred rates are well within the expected range for other mammals.

Indexed as

FelidaeMutation RatePantheraAnimalsGerm-Line MutationPedigreePhylogenygermline mutationmutation rateNeofelisPantherasingle-nucleotide polymorphism

Identifiers

PMID40171701
PMCPMC11997302

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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.