Issue |
BIO Web of Conferences
Volume 4, 2015
ORIGINS – Studies in Biological and Cultural Evolution
|
|
---|---|---|
Article Number | 00001 | |
Number of page(s) | 5 | |
DOI | https://doi.org/10.1051/bioconf/20150400001 | |
Published online | 24 June 2015 |
The quest for the origins in evolutionary biology
Institut de Systématique, Evolution, Biodiversité (ISYEB), UMR 7205 CNRS MNHN UPMC EPHE, Muséum National d'Histoire Naturelle, Sorbonne Universités, CP. 50, 57 rue Cuvier, 75005 Paris, France
a e-mail: marie-christine.maurel@upmc.fr
b e-mail: philippe.grandcolas@mnhn.fr
Studying origins in evolutionary biology is an endeavour to reconstruct a chronicle of past events. Traditionally rooted in comparative biology and phylogenetics, these studies can also be conducted with either logical or experimental modelling approaches. The interaction between these two domains of inference – comparative reconstruction of the evolutionary past and modeling/experimenting the evolutionary process – must be encouraged. In both domains, the study of origins needs to be carefully designed to take into account anterior evolutionary stages on which they could depend. Comparative biology and past reconstruction must be performed on simple observational data (natural kinds), not on artificial general classes. And finally, understanding causality relationships calls for correlation approaches that must be optimized with regard to the number of natural replicates.
© Owned by the authors, published by EDP Sciences, 2015
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.