Gérard A. L., Owen R. S., Dujon A. M., Roche Benjamin, Hamede R., Thomas F., Ujvari B., Siddle H. V. (2024). In vitro competition between two transmissible cancers and potential implications for their host, the Tasmanian devil. Evolutionary Applications, 17 (3), p. e13670 [12 p.]. ISSN 1752-4571.
Titre du document
In vitro competition between two transmissible cancers and potential implications for their host, the Tasmanian devil
Année de publication
2024
Auteurs
Gérard A. L., Owen R. S., Dujon A. M., Roche Benjamin, Hamede R., Thomas F., Ujvari B., Siddle H. V.
Source
Evolutionary Applications, 2024,
17 (3), p. e13670 [12 p.] ISSN 1752-4571
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.
Plan de classement
Sciences fondamentales / Techniques d'analyse et de recherche [020]
Description Géographique
AUSTRALIE
Localisation
Fonds IRD [F B010089644]
Identifiant IRD
fdi:010089644
