Genetic and demographic constraints on adaptation: insights from Integro-projection models and research challenges

• Ophélie Ronce (Institut des sciences de l'évolution-Montpellier)

Room: bâtiment 9, Salle 109 The concept of evolutionary potential is central to many questions in evolutionary biology and key in particular to our understanding of adaptation prospects to ongoing global changes.  I will illustrate  how understanding limits to adaptation necessitates to integrate together genetic and demographic constraints. I will deal with structured heterogeneous populations, where different individuals make different contributions to the demography and evolution of the population, because they belong to different stages in the life cycle, have a different age  and size, affecting their growth, fecundity and survival. We use 30 years of demographic surveys in the endangered highly endemic plant Centaurea corymbosa to predict under which conditions boosting the genetic diversity  through assisted gene flow could rescue the small declining populations from short-term extinction in an already too warm climate. Through this example, I will introduce Integro-Projection Models, which have become extremely popular in population dynamics studies in recent years, but are the subject of controversies about how evolution is integrated. These Integro-Projection models, which emerged from empirical research, have been explored exclusively numerically and are potentially an area of research where greater mathematical insight could lead to some breakthrough in their validation and use.

Exposé

• Jessica Guerand (Institut Montpelliérain Alexander Grothendieck)

Room: bâtiment 9, Salle 109

Niche construction as an emerging phenomenon between fast ecological and slow evolutionary timescales in individual-based models

• Nicolas Champagnat (Inria Nancy)

Room: bâtiment 9, Salle 109 The concept of evolutionary potential is central to many questions in evolutionary biology and key in particular to our understanding of adaptation prospects to ongoing global changes.  I will illustrate  how understanding limits to adaptation necessitates to integrate together genetic and demographic constraints. I will deal with structured heterogeneous populations, where different individuals make different contributions to the demography and evolution of the population, because they belong to different stages in the life cycle, have a different age  and size, affecting their growth, fecundity and survival. We use 30 years of demographic surveys in the endangered highly endemic plant Centaurea corymbosa to predict under which conditions boosting the genetic diversity  through assisted gene flow could rescue the small declining populations from short-term extinction in an already too warm climate. Through this example, I will introduce Integro-Projection Models, which have become extremely popular in population dynamics studies in recent years, but are the subject of controversies about how evolution is integrated. These Integro-Projection models, which emerged from empirical research, have been explored exclusively numerically and are potentially an area of research where greater mathematical insight could lead to some breakthrough in their validation and use.

Exposé

• Pascal Maillard (Institut de mathématiques de Toulouse)

Room: bâtiment 9, Salle 109

Exposé

• Sylvain Gandon (Centre d'écologie fonctionnelle et évolutive-Montpellier)

Room: bâtiment 9, Salle 109

Exposé

• Viet Chi Tran (Inria Lille)

Room: bâtiment 9, Salle 109

Concentration in selection-mutation models: error estimates and asymptotic expansions

• Caroline Guinet (Institut de mathématiques de Toulouse)

Room: bâtiment 9, Salle 109 n this presentation we study an integro-differential equation which describes the evolutionary dynamics of a population structured by a phenotypic trait. This population undergoes asexual reproduction, competition, selection, and mutation. We provide an asymptotic analysis of the model, assuming that the mutations have small effects.  A standard approach for the analysis of the qualitative properties of the solutions of such an equation is to apply a logarithmic transformation, which yields a Hamilton–Jacobi equation with constraint. When the reproduction term is a concave function of the trait, it has been established that the solution is classical. We rigorously derive a first-order asymptotic expansion of the solution. This expansion allows us to approximate the moments of the phenotypic density. This result establishes a connection between the approximations of the phenotypic density obtained via the Hamilton-Jacobi approach and relevant biological quantities, which are more suitable from a modeling perspective. This is a joint work with my PhD advisors, Sepideh Mirrahimi and Jean-Michel Roquejoffre.

Evolution of the (co)variances of quantitative traits in stage-structured populations.

• Julien Offresson (Institut des sciences de l'évolution-Montpellier)

Room: bâtiment 9, Salle 109 The speed of evolution of a phenotypic trait increases with the proportion of its variation that is transmitted to the next generation. The genetic variance for the trait is thus considered a good measure of evolutionary potential. The former can be computed from the joint distribution of the different gene copies that determine the trait value in the population. Evolutionary forces such as genetic drift, selection, recombination, mutation, and migration shape these distributions and thus the evolution of genetic variance. Many theoretical models for the evolution of quantitative traits, however, assume that genetic variance is constant through time and identical among different sub-groups of individuals in the population. Yet many populations are structured, with groups of individuals differing in sex, age, size, or developmental stage, which may differ in the amount of genetic variance they harbour for different traits. For instance, previous theory has shown that genetic variance for a trait subject to multiple selection episodes through the course of life decreases with age. Conversely, genetic variance for a trait expressed for the first time late in life is predicted to be higher than that for a trait first expressed when individuals are still young. However, we lack theoretical expectations for other types of structured populations, where individuals vary in the time they spend in different stages. Here, we develop a set of general recursions to predict the change across time and stages of both the mean and the variance of a Gaussian-distributed trait affecting transitions between discrete stages in a structured population. We track the variation in the phenotypic trait value, the component of the trait that is transmitted to the next generation (the breeding value), and their covariation. We illustrate our predictions by parameterizing the model using demographic data on stage transitions for various plant species and exploring different scenarios of selection on the phenotypic trait. In particular, we show how genetic variance accumulates in some stages and is depleted in others, and how this affects the probability of escaping extinction while adapting to a new environment.

Etude du modèle infinitesimal par une méthode hilbertienne

• Matthieu Hillairet (Institut Montpelliérain Alexander Grothendieck)

Room: bâtiment 9, Salle 109 Dans cet exposé, je considérerai un modèle pour la dynamique d'une population -- répartie selon un trait phénotypique -- qui se reproduit sexuellement et qui est soumise à la sélection et à la compétition.  La reproduction sexuelle est modélisée via un terme intégral non linéaire, connu sous le nom de « modèle infinitésimal » de Fisher, qui prescrit que le trait phénotypique de la descendance suit une loi gaussienne autour de la moyenne des traits des géniteurs. Dans le  régime où la variance de la reproduction est petite devant la variance de la sélection, je m'intéresserai à une description explicite de la dynamique obtenue en projetant la solution sur une base de polynômes bien choisie. Cette description permet en particulier d'étudier l'existence de distributions stationnaires et leurs stabilités. La présentation est basée sur un travail en collaboration avec Sepideh Mirrahimi.

On the approximation of the use of Hermite functions for quantum and statistical physics

• Francis Filbet (Institut de mathématiques de Toulouse)

Room: bâtiment 9, Salle 109 We propose a new approach to discretize the von Neumann equation, which is efficient in the semi-classical limit. This method is first based on the so called Weyl's variables to address the stiffness associated with the equation. Then, by applying a truncated Hermite expansion of the density operator, we successfully handle this stiffness. Additionally, we develop a finite volume approximation for practical implementation and conduct numerical simulations to illustrate the efficiency of our approach. This asymptotic preserving numerical approximation, combined with the use of Hermite polynomials, provides an efficient tool for solving the von Neumann equation in all regimes, near classical or not.

Evolutionary ecology of structured populations

• Sébastien Lion (Centre d'écologie fonctionnelle et évolutive-Montpellier)

Room: bâtiment 9, Salle 109 In natural populations, individuals may have different vital rates depending on their age, size, location, infection status, or immunity. This demographic heterogeneity has important ecological and evolutionary consequences. In evolutionary epidemiology, two important sources of heterogeneity are imperfect vaccination and infection age structure. As a result of this heterogeneity, hosts do not have the same quality for the pathogen depending on their immune or age class. In this talk I will discuss theoretical results that show how this variation in host quality can affect the evolution of pathogen life history traits (e.g. transmission, virulence...).

Recovering an initial distribution of telomere lengths from measurements of senescence times

• Jules Olayé (Institut de mathématiques de Toulouse)

Room: bâtiment 9, Salle 109 Telomeres are repetitive sequences situated at both ends of the chromosomes of eukaryotic cells. At each cell division, they are eroded until they reach a critical length that triggers a state in which the cell stops to divide: the senescent state. In this work, we are interested in the link between the initial distribution of telomere lengths and the distribution of senescence times. We propose a method to retrieve the initial distribution of telomere lengths, using only measurements of senescence times. Our approach relies on approximating our models with transport equations, which provide natural estimators for the initial telomere lengths distribution. We investigate this method from a theoretical point of view by providing bounds on the errors of our estimators, pointwise and in all Lebesgue spaces. We also illustrate it with estimations on simulations, and discuss its limitations related to the curse of dimensionality.

Exposé

• Manon Costa (Institut de mathématiques de Toulouse)

Room: bâtiment 9, Salle 109