Evidence map›Paper›PMID 38468711›Full record

ArticleEvolutionary applications2024

In vitro competition between two transmissible cancers and potential implications for their host, the Tasmanian devil.

Anne-Lise Gérard, Rachel S Owen, Antoine M Dujon, Benjamin Roche, Rodrigo Hamede, Frédéric Thomas, Beata Ujvari, Hannah V Siddle

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Article in Evolutionary applications, 2024. 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

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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

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

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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

8 authors.

Anne-Lise GérardSchool of Life and Environmental Sciences Deakin University Waurn Ponds Victoria Australia.ORCID https://orcid.org/0000-0001-9495-2894
Rachel S OwenSchool of Biological Sciences University of Southampton Southampton UK.ORCID https://orcid.org/0000-0001-6441-2213
Antoine M DujonSchool of Life and Environmental Sciences Deakin University Waurn Ponds Victoria Australia.
Benjamin RocheCREEC/MIVEGEC, CNRS, IRD Université de Montpellier Montpellier France.
Rodrigo HamedeSchool of Natural Sciences University of Tasmania Hobart Tasmania Australia.
Frédéric ThomasCREEC/MIVEGEC, CNRS, IRD Université de Montpellier Montpellier France.ORCID https://orcid.org/0000-0003-2238-1978
Beata UjvariSchool of Life and Environmental Sciences Deakin University Waurn Ponds Victoria Australia.ORCID https://orcid.org/0000-0003-2391-2988
Hannah V SiddleSchool of Biological Sciences University of Southampton Southampton UK.ORCID https://orcid.org/0000-0003-2906-4385

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since the emergence of a transmissible cancer, devil facial tumour disease (DFT1), in the 1980s, wild Tasmanian devil populations have been in decline. In 2016, a second, independently evolved transmissible cancer (DFT2) was discovered raising concerns for survival of the host species. Here, we applied experimental and modelling frameworks to examine competition dynamics between the two transmissible cancers in vitro. Using representative cell lines for DFT1 and DFT2, we have found that in monoculture, DFT2 grows twice as fast as DFT1 but reaches lower maximum cell densities. Using co-cultures, we demonstrate that DFT2 outcompetes DFT1: the number of DFT1 cells decreasing over time, never reaching exponential growth. This phenomenon could not be replicated when cells were grown separated by a semi-permeable membrane, consistent with exertion of mechanical stress on DFT1 cells by DFT2. A logistic model and a Lotka-Volterra competition model were used to interrogate monoculture and co-culture growth curves, respectively, suggesting DFT2 is a better competitor than DFT1, but also showing that competition outcomes might depend on the initial number of cells, at least in the laboratory. We provide theories how the in vitro results could be translated to observations in the wild and propose that these results may indicate that although DFT2 is currently in a smaller geographic area than DFT1, it could have the potential to outcompete DFT1. Furthermore, we provide a framework for improving the parameterization of epidemiological models applied to these cancer lineages, which will inform future disease management.

Indexed as

competition modelLotka–Volterra modelTasmanian deviltransmissible cancer

Identifiers

PMID38468711
PMCPMC10925828

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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.