De nos jours plus que jamais, il est nécessaire d’anticiper et de comprendre les réponses évolutives des organismes vivants, face à des habitats instables et hétérogènes. Mais à quel point cela est-il possible ? Reproduire l’ensemble du déroulé d’une trajectoire évolutive nécessite de pouvoir décrire, d’une part, le « matériel » disponible pour s’adapter (c’est-à-dire les effets phénotypiques associés à la variabilité génétique produite), d’autre part, comment agissent les forces évolutives, associées à un contexte écologique, pour aboutir à un certain « assemblage » de ce matériel. Dans sa version la plus simple, ce processus évolutif peut-être décrit par plusieurs cycles d’évènements de mutations-sélection conduisant à l’adaptation d’une population à son environnement. Cette dynamique correspond assez bien à celle qui est décrite par les populations bactériennes dans les expériences d’évolution contrôlées en laboratoire. Parallèlement, les modèles de paysages adaptatifs (phénotypiques), et en particulier le modèle géométrique de Fisher, sont des outils très puissants pour formuler des prédictions générales et quantitativement testables sur ces trajectoires évolutives. Cependant, ils restent très théoriques et ont été largement pensés dans un contexte écologique simplifié. Au cours de cette thèse, nous avons identifié les déterminants (mutationnels et sélectifs) des trajectoires évolutives à long terme de populations bactériennes s’adaptant dans différents contextes environnementaux. Une première partie des résultats est mise en lumière par la validation expérimentale et la reconstruction de la topographie du paysage adaptatif généré par différentes doses d’un antibiotique, le long d’un gradient. Une deuxième partie expérimentale vise à intégrer une composante biotique (une autre bactérie) à ce même contexte environnemental. Les processus évolutifs intervenant au cours d’une coévolution à long terme maintenue par sélection fréquence-dépendante, y sont étudiés. / Today more than ever, it is crucial to anticipate and understand the evolutionary responses of living organisms faced with heterogeneous and unstable habitats. But to what extent is this possible? To reproduce an entire evolutionary trajectory, we must first describe the “material” available for adaptation (e.g. the phenotypic effects associated with the existing and novel genetic variability), and second describe the way evolutionary forces, shaped by the ecological context, result in specific “assemblies” of this material. At its simplest, this evolutionary process can be described by several cycles of mutation-selection events, leading to the adaptation of a population to an environment. This process is reflected in the evolutionary trajectories of bacterial lineages undergoing controlled experimental evolution in the lab. Concurrently, adaptive (phenotypic) landscape models, and especially Fisher’s geometrical model of adaptation, are powerful tools to formulate general predictions, which can then be tested on such evolutionary trajectories. However, they remain highly theoretical, and are widely conceived in a simple ecological context. In this thesis, we identified the (mutational and selective) determinants of the evolutionary trajectories of bacterial lines adapting to various environmental contexts. A first set of results regards evolution along a gradient of antibiotic doses, and their relevance is highlighted by experimental validation and by the reconstruction of the underlying adaptive landscape. A second experimental part integrates a biotic component (another bacteria) to the same environmental context. The evolutionary processes acting throughout the resulting long-term coevolution – maintained by frequency-dependent selection – are studied.

<p>In this thesis, I combined comparative and experimental approaches to examine selection on reproductive traits and population differentiation in the insect-pollinated, self-incompatible, perennial herb <i>Primula farinosa</i>. More specifically, I (1) determined whether the effects of floral display and interactions with pollinators and seed predators, and plant reproductive success were frequency-dependent and affected by surrounding vegetation context, (2) examined the consequences of intermittent drought years on population dynamics using numerical simulations based on demographic data collected over seven years, (3) analyzed among-population differentiation in flowering phenology and reproductive allocation, and its relationship to soil-depth at the site of origin. </p><p>A field experiment suggested that conspicuous plants facilitate inconspicuous plants in terms of pollinator attraction, and that the facilitation effect is contingent on the height of the surrounding vegetation. Further experiments revealed that both mutualistic and antagonistic interactions can result in frequency-dependent selection on floral display. Among inconspicuous plants, both fruit initiation, and damage from seed predators increased with the proportion of the conspicuous morph. The relative strength of these effects, and therefore their net outcome on the relationship between morph ratio and seed production varied among years. </p><p>I combined information on vital rates and their relation to environmental conditions in simulations to predict future population viability in changing environments. Simulated stochastic population growth rate decreased with increasing frequency of drought years. </p><p>Reproductive allocation varied significantly among populations both in the field and in a common-garden experiment, but was correlated with soil depth at the site of origin only in the field. The results suggest that among-population variation in reproductive effort in the field mainly reflects plastic responses to environmental conditions, and that this plasticity may be adaptive. The common-garden experiment suggested that the study populations have diverged genetically in flowering time.</p>

The European rewardless orchid Dactylorhiza sambucina commonly produces yellow- and purple-flowered individuals in frequencies that in different populations range from balanced to very unbalanced ones (we can find even monochromatic populations). I studied an effect of abiotic factors (soil pH, hydrolimits, slope and altitude of the locality), biotic factors (weight and viability of the seeds obtained from crossing between and within morphs) and the size of the populations on corolla colour of two morphs in European populations (the Czech Republic, Italy, Austria, Germany, France).

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