Evidence map›Paper›PMID 39340219›Full record

ArticleMolecular ecology2024

Adaptive potential in the face of a transmissible cancer in Tasmanian devils.

Kasha Strickland, Menna E Jones, Andrew Storfer, Rodrigo K Hamede, Paul A Hohenlohe, Mark J Margres, Hamish I McCallum, Sebastien Comte, Shelly Lachish, Loeske E B Kruuk

Abstract read
In one paragraph

Article in Molecular ecology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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

10 authors.

Kasha StricklandSchool of Biological Sciences, Institute of Ecology and Evolution, University of Edinburgh, Edinburgh, UK.ORCID 0000-0002-2490-0607
Menna E JonesSchool of Natural Sciences, University of Tasmania, Hobart, Tasmania, Australia.ORCID 0000-0001-7558-9022
Andrew StorferSchool of Biological Sciences, Washington State University, Pullman, Washington, USA.
Rodrigo K HamedeSchool of Natural Sciences, University of Tasmania, Hobart, Tasmania, Australia.ORCID 0000-0003-1526-225X
Paul A HohenloheDepartment of Biological Sciences, University of Idaho, Moscow, Idaho, USA.ORCID 0000-0002-7616-0161
Mark J MargresDepartment of Integrative Biology, University of South Florida, Tampa, Florida, USA.ORCID 0000-0002-6153-6701
Hamish I McCallumEnvironmental Futures Research Institute, Griffith University, Nathan, Queensland, Australia.ORCID 0000-0002-3493-0412
Sebastien ComteVertebrate Pest Research Unit, NSW Department of Primary Industries, Orange, New South Wales, Australia.ORCID 0000-0001-7984-8159
Shelly LachishPublic Health Intelligence Branch, Queensland Public Health and Scientific Services Division, Queensland Health, Herston, Queensland, Australia.
Loeske E B KruukSchool of Biological Sciences, Institute of Ecology and Evolution, University of Edinburgh, Edinburgh, UK.ORCID 0000-0001-8588-1123

Funding

Evolution of cancer transmissionR01GM126563 · NIGMS · WASHINGTON STATE UNIVERSITY · PI STORFER, ANDREW T · 2017 to 2020
$2.3M
Australian Research Council A00000162Australian Research Council DP110102656Australian Research Council FT100100031Australian Research Council LP0561120Australian Research Council LP0989613Common FundEuropean Research Council 101020503NIGMS NIH HHS R01 GM126563NIH HHS R01-GM12653NSF Division of Environmental Biology DEB-1316549NSF Division of Environmental Biology DEB-2027446The Royal Society RSRP\R1\211017
6 · The paper itself

Abstract

Emerging infectious diseases (EIDs) not only cause catastrophic declines in wildlife populations but also generate selective pressures that may result in rapid evolutionary responses. One such EID is devil facial tumour disease (DFTD) in the Tasmanian devil. DFTD is almost always fatal and has reduced the average lifespan of individuals by around 2 years, likely causing strong selection for traits that reduce susceptibility to the disease, but population decline has also left Tasmanian devils vulnerable to inbreeding depression. We analysed 22 years of data from an ongoing study of a population of Tasmanian devils on Freycinet Peninsula, Tasmania, to (1) identify whether DFTD may be causing selection on body size, by estimating phenotypic and genetic correlations between DFTD and size traits, (2) estimate the additive genetic variance of susceptibility to DFTD, and (3) investigate whether size traits or susceptibility to DFTD were under inbreeding depression. We found a positive phenotypic relationship between head width and susceptibility to DFTD, but this was not underpinned by a genetic correlation. Conversely, we found a negative phenotypic relationship between body weight and susceptibility to DFTD, and there was evidence for a negative genetic correlation between susceptibility to DFTD and body weight. There was additive genetic variance in susceptibility to DFTD, head width and body weight, but there was no evidence for inbreeding depression in any of these traits. These results suggest that Tasmanian devils have the potential to respond adaptively to DFTD, although the realised evolutionary response will critically further depend on the evolution of DFTD itself.

Indexed as

Facial NeoplasmsMarsupialiaPhenotypeAnimalsBody SizeBody WeightGenetic Predisposition to DiseaseGenetic VariationInbreeding DepressionSelection, GeneticTasmaniaadaptive potentialinbreeding depressionquantitative geneticsselection differentialtransmissible cancerwildlife disease

Identifiers

PMID39340219
PMCPMC11521764

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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.