Fiche du document
2011
- doi: 10.1186/1471-2148-11-359
- issn: 1471-2148
Ce document est lié à :
info:eu-repo/semantics/altIdentifier/doi/10.1186/1471-2148-11-359
Ce document est lié à :
info:eu-repo/semantics/altIdentifier/pmid/22166098
Ce document est lié à :
info:eu-repo/semantics/altIdentifier/eissn/1471-2148
Ce document est lié à :
info:eu-repo/semantics/altIdentifier/urn/urn:nbn:ch:serval-BIB_F4935B22F12A8
info:eu-repo/semantics/openAccess , Copying allowed only for non-profit organizations , https://serval.unil.ch/disclaimer
Sujets proches
Ratios, Sex Ratio, Sex Sex ratiosCiter ce document
L. Keller et al., « Inbreeding and selection on sex ratio in the bark beetle Xylosandrus germanus. », Serveur académique Lausannois, ID : 10.1186/1471-2148-11-359
Métriques
Partage / Export
Résumé
: BACKGROUND: Local Mate Competition (LMC) theory predicts a female should produce a more female-biased sex ratio if her sons compete with each other for mates. Because it provides quantitative predictions that can be experimentally tested, LMC is a textbook example of the predictive power of evolutionary theory. A limitation of many earlier studies in the field is that the population structure and mating system of the studied species are often estimated only indirectly. Here we use microsatellites to characterize the levels of inbreeding of the bark beetle Xylosandrus germanus, a species where the level of LMC is expected to be high. RESULTS: For three populations studied, genetic variation for our genetic markers was very low, indicative of an extremely high level of inbreeding (FIS = 0.88). There was also strong linkage disequilibrium between microsatellite loci and a very strong genetic differentiation between populations. The data suggest that matings among non-siblings are very rare (3%), although sex ratios from X. germanus in both the field and the laboratory have suggested more matings between non-sibs, and so less intense LMC. CONCLUSIONS: Our results confirm that caution is needed when inferring mating systems from sex ratio data, especially when a lack of biological detail means the use of overly simple forms of the model of interest.