Genetics of dispersal

Saastamoinen, Marjo; Bocedi, Greta; Côté, Julien; Legrand, Dephine; Guillaume, Frédéric; Wheat, Christopher W.; Fronhofer, Emanuel A.; García, Cristina; Henry, Roslyn; Husby, Arild; Baguette, M.; Bonte, Dries; Coulon, Aurélie; Kokko, Hanna; Matthysen, Erik; Niitepõld, Kristjan; Nonaka, Etsuko; Stevens, Virginie M.; Travis, Justin; Donohue, Kathlin; Bullock, James M.; Delgado, María del Mar

doi:10.1111/brv.12356

Cited by 212 publications

(273 citation statements)

References 436 publications

(553 reference statements)

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“…Dispersal ability in evolutionary models is usually expressed as the propensity to disperse or a summary of dispersal distances (e.g. statistical moments of distribution, non‐local dispersal; Duputié & Massol, ; Saastamoinen et al., ). Maximum dispersal distance is a useful metric as it represents long‐distance dispersal ability, directly relating to the ability to colonize new areas, and due to the high correlation with mean dispersal distances ( R 2 = .85–.90 Tamme et al., ; Thomson, Moles, Auld, & Kingsford, ), it also represents local dispersal ability relevant to within population processes.…”

Section: Methodsmentioning

confidence: 99%

High dispersal ability is related to fast life‐history strategies

2018

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Seed dispersal is an essential, yet often overlooked process in plant ecology and evolution, affecting adaptation capacity, population persistence and invasiveness. A species’ ability to disperse is expected to covary with other life‐history traits to form dispersal syndromes. Dispersal might be linked to the rate of life history, fecundity or generation time, depending on the relative selection pressures of bet‐hedging, kin competition or maintaining gene flow. However, the linkage between dispersal and plant life‐history strategies remains unknown because it is difficult to observe, quantify and manipulate the influence of dispersal over large spatiotemporal scales. We integrate datasets describing plant vital rates, dispersal and functional traits to incorporate dispersal explicitly into the rich spectra of plant life‐history strategies. For 141 plant species, we estimated dispersal ability by predicting maximum dispersal distances using allometric relationships based on growth form, dispersal mode, terminal velocity and seed mass. We derived life‐history traits from matrix population models parameterized with field data from the COMPADRE Plant Matrix Database. We analysed the covariation in dispersal ability and life‐history traits using multivariate techniques. We found that three main axes of variation described plant dispersal syndromes: the fast‐slow life‐history continuum, the dispersal strategy axis and the reproductive strategy axis. On the dispersal strategy axis, species’ dispersal abilities were positively correlated with aspects of fast life histories. Species with a high net reproductive rate, a long window of reproduction, low likelihood of escaping senescence and low shrinkage tendencies disperse their seeds further. The overall phylogenetic signal in our multidimensional analyses was low (Pagel's λ < 0.24), implying a high degree of taxonomic generality in our findings. Synthesis. Dispersal has been largely neglected in comparative demographic studies, despite its pivotal importance for populations. Our explicit incorporation of dispersal in a comparative life‐history framework provides key insights to bridge the gap between dispersal ecology and life‐history traits. Species with fast life‐history strategies disperse their seeds further than slow‐living plants, suggesting that longer dispersal distances may allow these species to take advantage of habitats varying unpredictably in space and time as a bet‐hedging strategy.

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Section: Methodsmentioning

confidence: 99%

High dispersal ability is related to fast life‐history strategies

2018

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“…The estimate precision also suggests that temporal effects or covariate effects could be detected if present in the parameter space we explored. These differences in dispersal phenotype might be associated with variation in personality traits (Ronce and Clobert 2012) or may result from phenotypic plasticity or have a genetic base (Saastamoinen et al 2017). Using MODEL 1 on yellow-bellied toad data, the model was able to distinguish the probability of forced dispersal from a pond group that had dried out from the facultative dispersal from ponds that remained flooded.…”

Section: Discussionmentioning

confidence: 99%

Estimating dispersal in spatiotemporally variable environments using multievent capture–recapture modeling

Cayuela

Pradel

Joly

et al. 2018

Ecology

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Dispersal is a key process in ecological and evolutionary dynamics. Spatiotemporal variation in habitat availability and characteristics has been suggested to be one of the main cause involved in dispersal evolution and has a strong influence on metapopulation dynamics. In recent decades, the study of dispersal has led to the development of capture-recapture (CR) models that allow movement between sites to be quantified, while handling imperfect detection. For studies involving numerous recapture sites, Lagrange et al. () proposed a multievent CR model that allows dispersal to be estimated while omitting site identity by distinguishing between individuals that stay and individuals that move. More recently, Cayuela et al. () extended this model to allow survival and dispersal probabilities to differ for the different types of habitat represented by several sites within a study area. Yet in both of these modeling systems, the state of sites is assumed to be static over time, which is not a realistic assumption in dynamic landscapes. For that purpose, we generalized the multievent CR model proposed by Cayuela et al. () to allow the estimation of dispersal, survival and recapture probabilities when a site may appear or disappear over time (MODEL 1) or when the characteristics of a site fluctuate over space and time (MODEL 2). This paper first presents these two new modeling systems, and then provides an illustration of their efficacy and usefulness by applying them to simulated CR data and data collected on two metapopulations of amphibians. MODEL 1 was tested using CR data recorded on a metapopulation of yellow-bellied toads (Bombina variegata). In this first empirical case, we examined whether the drying-out dynamics of ponds and the past dispersal status of an individual might affect dispersal behavior. Our study revealed that the probability of facultative dispersal (i.e., from a pond group that remained available/flooded) fluctuated between years and was higher in individuals that had previously dispersed. MODEL 2 was tested using CR data collected on a metapopulation of great crested newts (Triturus cristatus). In this second empirical example, we investigated whether the density of alpine newts (Ichthyosaura alpestris), a potential competitor, might affect the dispersal and survival of the crested newt. Our study revealed that the departure rate was lower in ponds with a high density of heterospecifics than in ponds with a low density of heterospecifics at both inter-annual and intra-annual scales. Moreover, annual survival was slightly higher in ponds with a high density of heterospecifics. Overall, our findings indicate that these multievent CR models provide a highly flexible means of modeling dispersal in dynamic landscapes.

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“…The identification of genes influencing a complex behaviour like dispersal is still challenging (Pardo‐Diaz et al ., ), but some studies on heritability have revealed a genetic component of the dispersal determinism (Pasinelli et al ., ; Sinervo et al ., ; Saastamoinen et al ., ). At least one sex‐linked gene of dispersal has been identified in male pea aphid, Acyrthosiphon pisum , suggesting that sex‐linked dispersal determinism is possible (Caillaud et al ., ).…”

Section: Discussionmentioning

confidence: 99%

The sex chromosome system can influence the evolution of sex‐biased dispersal

Brom

Massot

Laloi

2018

J of Evolutionary Biology

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Sex-biased dispersal is a much-discussed feature in literature on dispersal. Diverse hypotheses have been proposed to explain the evolution of sex-biased dispersal, a difference in dispersal rate or dispersal distance between males and females. An early hypothesis has indicated that it may rely on the difference in sex chromosomes between males and females. However, this proposal was quickly rejected without a real assessment. We propose a new perspective on this hypothesis by investigating the evolution of sex-biased dispersal when dispersal genes are sex-linked, that is when they are located on the sex chromosomes. We show that individuals of the heterogametic sex disperse relatively more than do individuals of the homogametic sex when dispersal genes are sex-linked rather than autosomal. Although such a sex-biased dispersal towards the heterogametic sex is always observed in monogamous species, the mating system and the location of dispersal genes interact to modulate sex-biased dispersal in monandry and polyandry. In the context of the multicausality of dispersal, we suggest that sex-linked dispersal genes can influence the evolution of sex-biased dispersal.

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Genetics of dispersal

Cited by 212 publications

References 436 publications

High dispersal ability is related to fast life‐history strategies

High dispersal ability is related to fast life‐history strategies

Estimating dispersal in spatiotemporally variable environments using multievent capture–recapture modeling

The sex chromosome system can influence the evolution of sex‐biased dispersal

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