| Literature DB >> 21984912 |
Rémi Chargé1, Gabriele Sorci, Yves Hingrat, Frédéric Lacroix, Michel Saint Jalme.
Abstract
BACKGROUND: The "good genes" theory of sexual selection postulates that females choose mates that will improve their offspring's fitness through the inheritance of paternal genes. In spite of the attention that this hypothesis has given rise to, the empirical evidence remains sparse, mostly because of the difficulties of controlling for the many environmental factors that may covary with both the paternal phenotype and offspring fitness. Here, we tested the hypothesis that offspring sired by males of a preferred phenotype should have better survival in an endangered bird, the houbara bustard (Chlamydotis undulata undulata). METHODOLOGY/PRINCIPALEntities:
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Year: 2011 PMID: 21984912 PMCID: PMC3184954 DOI: 10.1371/journal.pone.0025305
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Figure 1Effect of the LPS injection on the number of days with courtship display in sire houbara bustards in 2007.
Values on the y-axis represent the pre-injection values (time 0) and the weekly post-injection values. Bars represent standard errors.
Generalized linear mixed models (with a binomial error distribution and a logit link function) exploring the effect of sire courtship display in 2006 (model 1), and sire courtship display in 2007 (prior to the immune challenge) (model 2) on the survival of juvenile houbara bustards released in the wild.
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| Source of variation | Estimate | SE | df | F | P |
| Sire age | 0.804 | 0.290 | 1,18 | 7.67 | 0.013 |
| Courtship display in 2006 | −0.178 | 0.165 | 1,18 | 1.17 | 0.294 |
| Age at release | −0.048 | 0.025 | 1,18 | 3.66 | 0.072 |
| Dam age | −0.258 | 0.148 | 1,18 | 3.01 | 0.099 |
| Sex | (F) −1.08 | 1.15 | 1,18 | 0.88 | 0.361 |
| Body mass at release | −0.0001 | 0.002 | 1,18 | 0.00 | 0.950 |
*Prior to the immune challenge.
The models also included sire and dam age, offspring sex, offspring body mass and age at release. Sire and dam identity were fitted as random factors.
Generalized linear mixed model (with a binomial error distribution and a logit link function) exploring the effect of sire change in courtship display, sire and dam age, offspring sex, offspring body mass and age at release on the survival of juvenile houbara bustards released in the wild.
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| Source of variation | Estimate | SE | df | F | P |
| Sire age | 0.679 | 0.261 | 1,18 | 6.76 | 0.018 |
| Sire change in courtship display | 0.499 | 0.223 | 1,18 | 4.88 | 0.040 |
| Age at release | −0.046 | 0.027 | 1,18 | 2.94 | 0.104 |
| Dam age | −0.242 | 0.159 | 1,18 | 2.31 | 0.146 |
| Sex | (F) −1.02 | 1.19 | 1,18 | 0.75 | 0.398 |
| Body mass at release | −0.0001 | 0.002 | 1,18 | 0.00 | 0.996 |
The model also included the sire and dam identity as random factors. The table presents the initial model and the variables that were retained in the final model.
Stepwise Cox regression exploring the effect of sire change in courtship activity, sire and dam age, offspring sex, offspring body mass and age at release on the survival of juvenile houbara bustards released in the wild.
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| Variables entered | Wald χ2 | P | |
| 1. Sire age | 7.76 | 0.005 | |
| 2. Sire change in courtship display | 12.72 | 0.002 | |
| 3. Dam age | 16.33 | 0.001 |
The table reports the order in which variables were entered into the model by the stepwise procedure and the analysis of maximum likelihood estimates for the variables that reached the 0.05 significance threshold to enter the model.
Figure 2Positive correlation between offspring survival and sire traits.
(a) Change in sire courtship behaviour induced by the inflammatory insult. (b) Sire age. Both plots report the percentage of offspring survival per sire with the adjustment based on the predicted values of a generalized linear mixed model where sire and dam identities were fitted as random factors.
Figure 3Timeline of the experiment.
The figure describes the different steps of the study, for sires (daily behavioural scans, LPS injection) and for offspring (birth, release, post-release monitoring).