@article{fdi:010088161,
  title = {{T}he tumour is in the detail : local phylogenetic, population and epidemiological dynamics of a transmissible cancer in {T}asmanian devils},
  author = {{H}amede, {R}. and {F}ountain-{J}ones, {N}. {M}. and {A}rce, {F}. and {J}ones, {M}. and {S}torfer, {A}. and {H}ohenlohe, {P}. {A}. and {M}c{C}allum, {H}. and {R}oche, {B}enjamin and {U}jvari, {B}. and {T}homas, {F}.},
  editor = {},
  language = {{ENG}},
  abstract = {{I}nfectious diseases are a major threat for biodiversity conservation and can exert strong influence on wildlife population dynamics. {U}nderstanding the mechanisms driving infection rates and epidemic outcomes requires empirical data on the evolutionary trajectory of pathogens and host selective processes. {P}hylodynamics is a robust framework to understand the interaction of pathogen evolutionary processes with epidemiological dynamics, providing a powerful tool to evaluate disease control strategies. {T}asmanian devils have been threatened by a fatal transmissible cancer, devil facial tumour disease ({DFTD}), for more than two decades. {H}ere 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. {H}owever, prevalence and force of infection were the lowest when devil population size and tumour genetic diversity was the highest. {T}his could be due to either differential virulence or transmissibility in tumour lineages or the development of host defence strategies against infection. {O}ur results support the view that evolutionary processes and epidemiological trade-offs can drive host-pathogen coexistence, even when disease-induced mortality is extremely high. {W}e highlight the importance of integrating pathogen and population evolutionary interactions to better understand long-term epidemic dynamics and evaluating disease control strategies.},
  keywords = {cancer evolution ; disease ecology ; host-pathogen coevolution ; phylodynamics ; {T}asmanian devil facial tumour disease ; virulence ; {AUSTRALIE} ; {TAMANIE}},
  booktitle = {},
  journal = {{E}volutionary {A}pplications},
  volume = {[{E}arly access]},
  numero = {},
  pages = {[12 ]},
  ISSN = {1752-4571},
  year = {2023},
  DOI = {10.1111/eva.13569},
  URL = {https://www.documentation.ird.fr/hor/fdi:010088161},
}