| Literature DB >> 22815816 |
Martin Reichard1, Rowena Spence, Anna Bryjová, Josef Bryja, Carl Smith.
Abstract
The role of genetic benefits in female mate choice remains a controversial aspect of sexual selection theory. In contrast to "good allele" models of sexual selection, "compatible allele" models of mate choice predict that females prefer mates with alleles complementary to their own rather than conferring additive effects. While correlative results suggest complementary genetic effects to be plausible, direct experimental evidence is scarce. A previous study on the Chinese rose bitterling (Rhodeus ocellatus) demonstrated a positive correlation between female mate choice, offspring growth and survival, and the functional dissimilarity between the Major Histocompatibility Complex (MHC) alleles of males and females. Here we directly tested whether females used cues associated with MHC genes to select genetically compatible males in an experimental framework. By sequentially pairing females with MHC similar and dissimilar males, based on a priori known MHC profiles, we showed that females discriminated between similar and dissimilar males and deposited significantly more eggs with MHC dissimilar males. Notably, the degree of dissimilarity was an important factor for female decision to mate, possibly indicating a potential threshold value of dissimilarity for decision making, or of an indirect effect of the MHC.Entities:
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Year: 2012 PMID: 22815816 PMCID: PMC3399850 DOI: 10.1371/journal.pone.0040780
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
PCR conditions and details on primers used for DAB3 sequencing.
| Primer combination | Annealing temperature | Primer name | Primer sequence (5′- 3′) |
| I. | 58°C | DAB3-Ex1Fw | CYCATACTGATGCTGTCTGC |
| DAB3-Ex3rev |
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| II. | 59°C | DAB3-Ex2Fw |
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| III. | 59°C | DAB3-Ex2Fw |
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| DAB3-Ex4rev1 |
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Figure 1Relationship between measures of mate dissimilarity and female choice.
The measures of mate dissimilarity were (a) allele summation, (b) allele divergence and (c) simple contrast. Full (n = 20, left panel) and limited (n = 17, right panel) datasets were used for calculation. Female choice was measured as the number of eggs deposited by females when spawning with a particular male. Symbol size (a, b) represents the level of overlap of individual data points, with a maximum of 6 overlapping points (the largest square). The line represents the best fit of a simple linear regression. Error bars (c) represent ±1 standard error.
General Linear Mixed Models explaining female mate choice decision based on three measures of mate dissimilarity.
| (a) Allele divergence | Full dataset (n = 20) | Reduced dataset (n = 17) | ||||||||
| Random Effects | Female ID 8.21 | Female ID 8.21 | ||||||||
| Fixed Effects | Estimate | SE | df | F | P | Estimate | SE | df | F | P |
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| order of presentation | 1,18 | 0.66 | 0.428 | 1,15 | 0.08 | 0.786 | ||||
| interaction | 1,17 | <0.01 | 1.000 | 1,14 | 0.01 | 0.973 | ||||
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| 0.72 | 3.02 | 1,16 | 60.59 | 0.812 |
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| allele summation ^2 | 1,18 | 1.05 | 0.320 | 1,15 | 0.04 | 0.854 | ||||
| order of presentation | 1,18 | 0.79 | 0.387 | 1,15 | 0.06 | 0.810 | ||||
| interaction | 1,17 | 1.43 | 0.248 | 1,14 | 0.51 | 0.487 | ||||
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| 1,19 | 3.63 | 0.072 |
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| order of presentation | 1,19 | 1.09 | 0.311 | 1,15 | 0.02 | 0.888 | ||||
| interaction | 1,17 | 0.32 | 0.580 | 1,14 | 1.41 | 0.254 | ||||
Table shows parameter estimates (with 1 standard error) for significant terms, degrees of freedom (df), test statistics (F), and significance levels (P). For the terms not included in the final model, the level of non-significance was obtained by entering the term into the minimal adequate model. The fixed terms included in minimal adequate models are indicated by bold typeset.