Publications des scientifiques de l'IRD

Séré M., Thévenon S., Belem A. M. G., De Meeûs Thierry. (2017). Comparison of different genetic distances to test isolation by distance between populations. Heredity, 119 (2), p. 55-63. ISSN 0018-067X.

Titre du document
Comparison of different genetic distances to test isolation by distance between populations
Année de publication
2017
Type de document
Article référencé dans le Web of Science WOS:000405484200001
Auteurs
Séré M., Thévenon S., Belem A. M. G., De Meeûs Thierry
Source
Heredity, 2017, 119 (2), p. 55-63 ISSN 0018-067X
Studying isolation by distance can provide useful demographic information. To analyze isolation by distance from molecular data, one can use some kind of genetic distance or coalescent simulations. Molecular markers can often display technical caveats, such as PCR-based amplification failures (null alleles, allelic dropouts). These problems can alter population parameter inferences that can be extracted from molecular data. In this simulation study, we analyze the behavior of different genetic distances in Island (null hypothesis) and stepping stone models displaying varying neighborhood sizes. Impact of null alleles of increasing frequency is also studied. In stepping stone models without null alleles, the best statistic to detect isolation by distance in most situations is the chord distance DCSE. Nevertheless, for markers with genetic diversities H-S
Plan de classement
Sciences fondamentales / Techniques d'analyse et de recherche [020] ; Entomologie médicale / Parasitologie / Virologie [052]
Localisation
Fonds IRD [F B010070316]
Identifiant IRD
fdi:010070316
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