Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Elina Numminen"'
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-11 (2022)
The ecological and evolutionary impacts of disease vary in spatially structured populations. Here, the authors study ~4000 populations of Plantago lanceolata and find that resistance evolution depends on both disease history and population structure,
Externí odkaz:
https://doaj.org/article/cdfd1197b75140299fcca4f6144d24ac
Publikováno v:
BMC Evolutionary Biology, Vol 19, Iss 1, Pp 1-11 (2019)
Abstract Background Understanding the mechanisms by which diversity is maintained in pathogen populations is critical for epidemiological predictions. Life-history trade-offs have been proposed as a hypothesis for explaining long-term maintenance of
Externí odkaz:
https://doaj.org/article/b7d433b43c6242bebcbf418ee087fd3a
Autor:
Elina Numminen, Anna-Liisa Laine
Publikováno v:
PLoS Computational Biology, Vol 16, Iss 3, p e1007703 (2020)
Spatial analyses of pathogen occurrence in their natural surroundings entail unique opportunities for assessing in vivo drivers of disease epidemiology. Such studies are however confronted by the complexity of the landscape driving epidemic spread an
Externí odkaz:
https://doaj.org/article/e8ecf46ec038413489efc208d36c38a5
Publikováno v:
eLife, Vol 8 (2019)
Many pathogens possess the capacity for sex through outcrossing, despite being able to reproduce also asexually and/or via selfing. Given that sex is assumed to come at a cost, these mixed reproductive strategies typical of pathogens have remained pu
Externí odkaz:
https://doaj.org/article/f1fa0dd8c66d465c90ea91978cac8ceb
Autor:
Mikael Sunnåker, Alberto Giovanni Busetto, Elina Numminen, Jukka Corander, Matthieu Foll, Christophe Dessimoz
Publikováno v:
PLoS Computational Biology, Vol 9, Iss 1, p e1002803 (2013)
Approximate Bayesian computation (ABC) constitutes a class of computational methods rooted in Bayesian statistics. In all model-based statistical inference, the likelihood function is of central importance, since it expresses the probability of the o
Externí odkaz:
https://doaj.org/article/9376965912b5427199a2a3385b7ddec0
1) Species distribution models (SDMs) are currently the main tools to derive species niche estimates and spatially explicit predictions for species geographical distribution. However, unobserved environmental conditions and ecological processes may c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8dd23e801288205f8fd6d1a2b9540c6c
http://hdl.handle.net/10138/350497
http://hdl.handle.net/10138/350497
Publikováno v:
Biological Conservation. 283:110115
Autor:
Jenalle L. Eck, Rachel M. Penczykowski, Anna-Liisa Laine, Elina Numminen, Fletcher W. Halliday, Benoit Barrès
Publikováno v:
Nature Ecology & Evolution
Nature Ecology & Evolution, Nature, 2020, 4 (11), pp.1510-1521. ⟨10.1038/s41559-020-01289-9⟩
Nature Ecology & Evolution, 2020, 4 (11), pp.1510-1521. ⟨10.1038/s41559-020-01289-9⟩
Nature Ecology & Evolution, Nature, 2020, 4 (11), pp.1510-1521. ⟨10.1038/s41559-020-01289-9⟩
Nature Ecology & Evolution, 2020, 4 (11), pp.1510-1521. ⟨10.1038/s41559-020-01289-9⟩
International audience; Host individuals are often coinfected with diverse parasite assemblages, resulting in complex interactions among parasites within hosts. Within hosts, priority effects occur when the infection sequence alters the outcome of in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::81975433e33eb0d3ae10e7141a11fbaa
Autor:
Anna-Liisa Laine, Elina Numminen
Publikováno v:
PLoS Computational Biology, Vol 16, Iss 3, p e1007703 (2020)
PLoS Computational Biology
PLOS Computational Biology
PLoS Computational Biology
PLOS Computational Biology
Spatial analyses of pathogen occurrence in their natural surroundings entail unique opportunities for assessing in vivo drivers of disease epidemiology. Such studies are however confronted by the complexity of the landscape driving epidemic spread an