Is local selection so widespread in river organisms? Fractal geometry of river networks leads to high bias in outlier detection - Université de Rennes Accéder directement au contenu
Article Dans Une Revue Molecular Ecology Année : 2013

Is local selection so widespread in river organisms? Fractal geometry of river networks leads to high bias in outlier detection

Y. Fourcade
Audrey Chaput-Bardy
  • Fonction : Auteur
  • PersonId : 857307
Jean Secondi
  • Fonction : Auteur
  • PersonId : 844709
Christophe Lemaire
  • Fonction : Auteur

Résumé

Identifying local adaptation is crucial in conservation biology to define ecotypes and establish management guidelines. Local adaptation is often inferred from the detection of loci showing a high differentiation between populations, the so-called FST outliers. Methods of detection of loci under selection are reputed to be robust in most spatial population models. However, using simulations we showed that FST outlier tests provided a high rate of false-positives (up to 60%) in fractal environments such as river networks. Surprisingly, the number of sampled demes was correlated with parameters of population genetic structure, such as the variance of FSTs, and hence strongly influenced the rate of outliers. This unappreciated property of river networks therefore needs to be accounted for in genetic studies on adaptation and conservation of river organisms.

Dates et versions

hal-00812551 , version 1 (12-04-2013)

Identifiants

Citer

Y. Fourcade, Audrey Chaput-Bardy, Jean Secondi, Cyril Fleurant, Christophe Lemaire. Is local selection so widespread in river organisms? Fractal geometry of river networks leads to high bias in outlier detection. Molecular Ecology, 2013, 22 (8), pp.2065-2073. ⟨10.1111/mec.12158⟩. ⟨hal-00812551⟩
255 Consultations
0 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More