Mate choice for neutral and <scp>MHC</scp> genetic characteristics in Alpine marmots: different targets in different contexts?

Ferrandiz-Rovira, Mariona; Allainé, Dominique; Callait-Cardinal, Marie-Pierre; Cohas, Aurélie

doi:10.1002/ece3.2189

Cited by 15 publications

(22 citation statements)

References 104 publications

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“…Additionally, the length of the studies and of the pair-bonds differ greatly among species in the data set. Although some studies provided data from multiple breeding seasons or years (e.g., Alpine marmots, Ferrandiz-Rovira et al, 2016), others either did not follow pairs across multiple seasons or only sampled within one breeding season (e.g., Bornean gibbon, Oka and Takenaka, 2001). Finally, although our three indices of genetic monogamy are each different ways to quantify genetic monogamy, they are not necessarily of equal biological importance.…”

Section: Summary Of Main Findingsmentioning

confidence: 97%

Genetic Monogamy in Socially Monogamous Mammals Is Primarily Predicted by Multiple Life History Factors: A Meta-Analysis

2018

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Background: We still do not understand the key drivers or prevalence of genetic monogamy in mammals despite the amount of attention that the evolution of mammalian monogamy has received. There have been numerous reviews of the hypotheses proposed to explain monogamy, some of which focused on animals in general, while others focused on particular classes like birds or mammals, or on specific orders within a class. Because monogamy is rare in mammals overall but relatively common in some of the orders in which it has been observed (e.g., Primates, Macroscelidea, and Carnivora), mammals provide a unique taxon in which to study the evolution and maintenance of monogamy However, the term "monogamy" encompasses related but separate phenomena; i.e., social monogamy (pair-living by opposite-sex conspecifics) and genetic monogamy or reproductive monogamy (mating exclusivity). A recent review of mammalian monogamy reported that 226 species (9%) in 9 orders (35%) were socially monogamous, although socially monogamous mammals are not necessarily genetically monogamous.Methods: Since factors that predispose socially monogamous mammals to be genetically monogamous are still subject to debate, we conducted meta-analyses using model selection to determine the relative importance of several life history, demographic, and environmental factors in predicting genetic monogamy. Results:We found sufficient data to include 41 species in our analysis, about 2x more than have been included in previous analyses of mammalian genetic monogamy. We found that living as part of a socially monogamous pair vs. in a group was the best predictor of genetic monogamy, either by itself or in combination with high levels of paternal care. A male-biased sex ratio and low population density were inversely related to the number of pairs that were genetically monogamous, but not to the production of intra-pair young or litters. Conclusion:Our results agree with the results of some previous analyses but suggest that more than one factor may be important in driving genetic monogamy in mammals.

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Section: Summary Of Main Findingsmentioning

confidence: 97%

Genetic Monogamy in Socially Monogamous Mammals Is Primarily Predicted by Multiple Life History Factors: A Meta-Analysis

2018

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“…Extra‐pair behaviours are also associated with genetic characteristics, especially the relatedness of the dominant pair measured with microsatellites. Higher EPP levels are observed for both low and high within‐pair relatedness, whereas lower EPP levels are observed at intermediate within‐pair relatedness (Cohas et al ., ; Ferrandiz‐Rovira et al ., ).…”

Section: Methodsmentioning

confidence: 97%

“…In this socially monogamous species, social pair‐bonding lasts until the death or eviction of one member of the dominant pair by a third individual and divorce is never observed (Lardy et al ., ). Dominant males never reproduce with any female other than the dominant female, but a strategy for a female to counteract a suboptimal social mate choice is to obtain extra‐pair paternities (EPPs) (Cohas et al ., ; Ferrandiz‐Rovira et al ., ). Marmots live in families, and the social context is an extrinsic factor strongly constraining the proportion of extra‐pair young (EPY) (Cohas et al ., ).…”

Section: Introductionmentioning

confidence: 97%

Extrinsic and intrinsic constraints interact to drive extra‐pair paternities in the Alpine marmot

Bichet

Lepetit

Cohas

2018

J of Evolutionary Biology

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To reproduce, animals have to form pairs and large variations in the degree of mate switching are observed. Extrinsic and intrinsic factors can constrain individual's mate switching. Among intrinsic factors, genes involved in pair-bonding, such as Avpr-1a, receive increasing attention. The length of microsatellites present in the regulatory region of Avpr-1a determines the neural densities and distributions of the vasopressin receptors known to impact pair-bonding behaviours. For the first time, we investigated whether and how the genetic makeup at Avpr-1a, an intrinsic factor, and the social context, an extrinsic factor, experienced by wild Alpine marmot (Marmota marmota) females affect the proportion of extra-pair young. This proportion was positively correlated with the length of their Avpr-1a regulatory region but only when the social constraints were relaxed, that is when mature male subordinates were present. When ignoring the interactive effect between the length of their Avpr-1a regulatory region and the social constraints, the genetic makeup at Avpr-1a was not associated with the proportion of extra-pair young. Under natural conditions, the genetic regulation of pair-bonding could be hidden by extrinsic factors constraining mate choice.

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“…The annual number of recruits per individual ( NR ti ) was estimated as the number of offspring produced per individual (determined by genetic kinship analyses) that survived the first hibernation. More details on the study species, the study area, and the genetic analyses can be found elsewhere (Allainé & Theuriau, ; Cohas, Yoccoz, & Allainé, ; Ferrandiz‐Rovira, Allainé, Callait‐Cardinal, & Cohas, ).…”

Section: Methodsmentioning

confidence: 99%

“…Balanced α π = 0 (π = 0.5) , 2004;Cohas, Yoccoz, & Allainé, 2007;Ferrandiz-Rovira, Allainé, Callait-Cardinal, & Cohas, 2016).…”

Section: Proportion Of Individuals In Each Clustermentioning

confidence: 99%

Testing determinants of the annual individual fitness: An overall mean mixture model for de‐lifing data

et al. 2017

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The de‐lifing method (Coulson et al., 2006, Proceedings of the Royal Society of London B: Biological Sciences, 273, 547), though very promising for studying ecological and evolutionary changes, has been scarcely used to identify factors influential on fitness. Through simulations representative of a variety of iteroparous species, we establish that a two‐component normal mixture usually provides a much better representation of de‐lifing data than the single normal distribution assumed in classical linear models. To test determinants of the annual individual fitness, we propose the overall mean mixture model (O3M), a mixture model parameterised in terms of the overall mean of the mixture distribution. We examine the gain in performance and accuracy when using the O3M over classical linear models and bootstrap methods on simulated finite normal mixture distributions for different regression shapes and variance structure, and apply it to a real dataset to study how the annual individual fitness varies with age in alpine marmots. The O3M improves considerably the precision of the estimates and hence the power of the analysis. We discuss the adaptation of the O3M model to more complex distributions and advise on its use.

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Mate choice for neutral and MHC genetic characteristics in Alpine marmots: different targets in different contexts?

Cited by 15 publications

References 104 publications

Genetic Monogamy in Socially Monogamous Mammals Is Primarily Predicted by Multiple Life History Factors: A Meta-Analysis

Genetic Monogamy in Socially Monogamous Mammals Is Primarily Predicted by Multiple Life History Factors: A Meta-Analysis

Extrinsic and intrinsic constraints interact to drive extra‐pair paternities in the Alpine marmot

Testing determinants of the annual individual fitness: An overall mean mixture model for de‐lifing data

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