| Literature DB >> 17997307 |
Amy L Sherborne1, Michael D Thom, Steve Paterson, Francine Jury, William E R Ollier, Paula Stockley, Robert J Beynon, Jane L Hurst.
Abstract
Animals might be able to use highly polymorphic genetic markers to recognize very close relatives and avoid inbreeding. The major histocompatibility complex (MHC) is thought to provide such a marker because it influences individual scent in a broad range of vertebrates. However, direct evidence is very limited. In house mice (Mus musculus domesticus), the major urinary protein (MUP) gene cluster provides another highly polymorphic scent signal of genetic identity that could underlie kin recognition. We demonstrate that wild mice breeding freely in seminatural enclosures show no avoidance of mates with the same MHC genotype when genome-wide similarity is controlled. Instead, inbreeding avoidance is fully explained by a strong deficit in successful matings between mice sharing both MUP haplotypes. Single haplotype sharing is not a good guide to the identification of full sibs, and there was no evidence of behavioral imprinting on maternal MHC or MUP haplotypes. This study, the first to examine wild animals with normal variation in MHC, MUP, and genetic background, demonstrates that mice use self-referent matching of a species-specific polymorphic signal to avoid inbreeding. Recognition of close kin as unsuitable mates might be more variable across species than a generic vertebrate-wide ability to avoid inbreeding based on MHC.Entities:
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Year: 2007 PMID: 17997307 PMCID: PMC2148465 DOI: 10.1016/j.cub.2007.10.041
Source DB: PubMed Journal: Curr Biol ISSN: 0960-9822 Impact factor: 10.834
Multinomial Logistic Models for Frequency of Mating
| β | Log Likelihood | Likelihood Ratio (LR) Statistic | df | P | |
|---|---|---|---|---|---|
| Model 1: Full-Sib Avoidance | |||||
| full sib | −0.36 | −491.07 | 3.42 | 1 | 0.08 (one tailed) |
| Model 2: MHC Sharing | |||||
| one MHC haplotype | 0.36 | −490.63 | 4.31 | 2 | 0.27 |
| both MHC haplotypes | 0.12 | ||||
| Model 3: MUP Sharing | |||||
| one MUP haplotype | 0.15 | −483.60 | 18.36 | 2 | 0.005 |
| both MUP haplotypes | −1.36 | ||||
| Model 4: Full MUP Sharing | |||||
| both MUP haplotypes | −1.44 | −484.04 | 17.48 | 1 | 0.002 |
| Model 5: Relatedness and Full MUP Sharing | |||||
| full sib | −0.12 | −483.86 | 17.84 | 2 | 0.65 |
| both MUP haplotypes | −1.38 | ||||
| Model 6: Maternal MHC Imprinting and Full MUP Sharing | |||||
| one MHC haplotype match between male and female's mother | −0.33 | −482.61 | 20.34 | 2 | 0.18 |
| both MUP haplotypes | −1.31 | ||||
| Model 7: Maternal MUP Imprinting and Full MUP Sharing | |||||
| one MUP haplotype match between male and female's mother | −0.11 | −483.76 | 18.04 | 2 | 0.54 |
| both MUP haplotypes | −1.35 | ||||
Summary of observed and expected frequencies for each category shown in Table S2.
Compared to null model (log likelihood = −492.78).
Probabilities calculated by random permutation of data (n = 10,000).
Comparison to model 4.
Multinomial Logistic Models for Number of Offspring per Mating
| β | Log Likelihood | LR Statistic | df | P | |
|---|---|---|---|---|---|
| Model 1: Full-Sib Avoidance | |||||
| full sib | −0.44 | −497.90 | 7.69 | 1 | 0.02 |
| Model 2: MHC Sharing | |||||
| one MHC haplotype | −0.12 | −499.24 | 5.02 | 2 | 0.25 |
| both MHC haplotypes | −0.49 | ||||
| Model 3: MUP Sharing | |||||
| one MUP haplotype | 0.11 | −500.59 | 2.33 | 2 | 0.52 |
| both MUP haplotypes | −0.34 | ||||
Summary of observed and expected frequencies for each category shown in Table S2.
Compared to null model (log likelihood = −501.75).
Probabilities calculated by random permutation of data (n = 10,000).
Model 1 would also be significant at p < 0.05 in a two-tailed test.