Evidence map›Paper›PMID 37492149›Full record

ArticleEvolutionary applications2023

The tumour is in the detail: Local phylogenetic, population and epidemiological dynamics of a transmissible cancer in Tasmanian devils.

Rodrigo Hamede, Nicholas M Fountain-Jones, Fernando Arce, Menna Jones, Andrew Storfer, Paul A Hohenlohe, Hamish McCallum, Benjamin Roche, Beata Ujvari, Frédéric Thomas

Open access · goldAbstract read
In one paragraph

Article in Evolutionary applications, 2023. 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
1.1field-weighted citation impact, top 25% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. De novo evolution of transmissible tumours in hydra.Proceedings. Biological sciences · 2024
    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 at 6 institutions in 3 countries.

Rodrigo HamedeSchool of Natural Sciences University of Tasmania Hobart Tasmania Australia.ORCID https://orcid.org/0000-0003-1526-225X
Nicholas M Fountain-JonesSchool of Natural Sciences University of Tasmania Hobart Tasmania Australia.
Fernando ArceSchool of Natural Sciences University of Tasmania Hobart Tasmania Australia.
Menna JonesSchool of Natural Sciences University of Tasmania Hobart Tasmania Australia.
Andrew StorferSchool of Biological Sciences Washington State University Pullman Washington USA.
Paul A HohenloheDepartment of Biological Sciences, Institute for Bioinformatics and Evolutionary Studies University of Idaho Moscow Idaho USA.
Hamish McCallumCentre for Planetary Health and Food Security Griffith University, Nathan Campus Nathan Queensland Australia.
Benjamin RocheCREEC, MIVEGEC (CREES) University of Montpellier, CNRS, IRD Montpelier France.
Beata UjvariCANECEV, Centre de Recherches Ecologiques et Evolutives sur le Cancer Montpellier France.ORCID https://orcid.org/0000-0003-2391-2988
Frédéric ThomasCANECEV, Centre de Recherches Ecologiques et Evolutives sur le Cancer Montpellier France.ORCID https://orcid.org/0000-0003-2238-1978
University of Tasmania · AUCentre National de la Recherche Scientifique · FRDeakin University · AUGriffith University · AUUniversity of Idaho · USWashington State University · US

Funding

Evolution of cancer transmissionR01GM126563 · NIGMS · WASHINGTON STATE UNIVERSITY · PI STORFER, ANDREW T · 2017 to 2020
$2.3M
NIGMS NIH HHS R01 GM126563
6 · The paper itself

Abstract

Infectious diseases are a major threat for biodiversity conservation and can exert strong influence on wildlife population dynamics. Understanding the mechanisms driving infection rates and epidemic outcomes requires empirical data on the evolutionary trajectory of pathogens and host selective processes. Phylodynamics is a robust framework to understand the interaction of pathogen evolutionary processes with epidemiological dynamics, providing a powerful tool to evaluate disease control strategies. Tasmanian devils have been threatened by a fatal transmissible cancer, devil facial tumour disease (DFTD), for more than two decades. Here we employ a phylodynamic approach using tumour mitochondrial genomes to assess the role of tumour genetic diversity in epidemiological and population dynamics in a devil population subject to 12 years of intensive monitoring, since the beginning of the epidemic outbreak. DFTD molecular clock estimates of disease introduction mirrored observed estimates in the field, and DFTD genetic diversity was positively correlated with estimates of devil population size. However, prevalence and force of infection were the lowest when devil population size and tumour genetic diversity was the highest. This could be due to either differential virulence or transmissibility in tumour lineages or the development of host defence strategies against infection. Our results support the view that evolutionary processes and epidemiological trade-offs can drive host-pathogen coexistence, even when disease-induced mortality is extremely high. We highlight the importance of integrating pathogen and population evolutionary interactions to better understand long-term epidemic dynamics and evaluating disease control strategies.

Indexed as

cancer evolutiondisease ecologyhost‐pathogen coevolutionphylodynamicsTasmanian devil facial tumour diseasevirulence

Identifiers

PMID37492149
PMCPMC10363845
OpenAlexW4381432356

What OpenQuestion 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 OpenQuestion graph.