|
|
Research@StAndrews:FullText >
University of St Andrews Research >
University of St Andrews Research >
University of St Andrews Research >
Please use this identifier to cite or link to this item:
http://hdl.handle.net/10023/2606
| Title: | Inbreeding and selection on sex ratio in the bark beetle Xylosandrus germanus |
| Authors: | Keller, Laurent Peer, Katharina Bernasconi, Christian Taborsky, Michael Shuker, David M. |
| Keywords: | QH426 Genetics |
| Issue Date: | 13-Dec-2011 |
| Citation: | Keller , L , Peer , K , Bernasconi , C , Taborsky , M & Shuker , D M 2011 , ' Inbreeding and selection on sex ratio in the bark beetle Xylosandrus germanus ' BMC Evolutionary Biology , vol 11 , pp. - . |
| Abstract: | 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 (F-IS = 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. |
| Version: | Publisher PDF |
| Status: | Peer reviewed |
| URI: | http://hdl.handle.net/10023/2606 |
| DOI: | http://dx.doi.org/10.1186/1471-2148-11-359 |
| ISSN: | 1471-2148 |
| Type: | Journal article |
| Rights: | © 2011 Keller et al; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
| Appears in Collections: | University of St Andrews Research Biology Research Institute of Behavioural and Neural Sciences Research Scottish Oceans Institute Research Centre for Higher Education Research (CHER) Research
|
This item is protected by original copyright
|
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.
|