Evolution of Y chromosomes : lessons from mammals and amphibians

RÉSUMÉ : Le sexe des individus peut être déterminé par l'environnement ou la génétique. Lorsque la détermination du sexe est génétique, il y a dans le génome, la présence de chromosomes spécifiques qui détermineront le sexe. Dans cette thèse, j'ai étudié l'évolution des chromosomes sexuels et dans quel contexte des marqueurs sur ces chromosomes peuvent être utilisés. Pour explorer la formation du chromosome Y, nous avons étudié les caractéristiques des chromosomes sexuels chez la rainette verte, Hyla arborea. Dans un premier temps, nous avons utilisé un marqueur situé sur les chromosomes sexuels X et Y chez plusieurs espèces appartenant au groupe de la rainette verte. Cela nous a permis de révéler chez toutes ces espèces une hétérogamétie mâle. Dans un deuxième temps, nous avons tiré profit de deux autres marqueurs situés sur les chromosomes sexuels pour montrer que la recombinaison est supprimée chez les mâles mais pas chez les femelles. Pour expliquer la réduction de la variabilité sur le chromosome Y, il n'est pas nécessaire d'invoquer le balayage sélectif ou la sélection d'arrière-plan : le nombre de copies plus petit du chromosome Y dans le génome et l'absence de recombinaison suffisent à l'expliquer. Nous avons également analysé plus en détail la suppression de la recombinaison chez les mâles de H. arborea. Les modèles classiques de l'évolution des chromosomes sexuels supposent que la taille de la région non-recombinante augmente progressivement pendant l'évolution du chromosome Y, due à l'accumulation de changements structuraux. Dans cette étude, nous montrons un modèle différent, à savoir que la recombinaison est supprimée ou diminuée non seulement sur les chromosomes sexuels mais aussi sur les autosomes chez les mâles, dû à l'action de modificateurs généraux. En utilisant des marqueurs localisés sur le chromosome Y, ainsi que sur l'ADN mitochondrial et le chromosome X, nous avons étudié l'histoire évolutive de la musaraigne musette, Crocidura russula. Cette étude illustre que les analyses génétiques avec plusieurs types de marqueurs génétiques peuvent faciliter l'interprétation de l'histoire évolutive des espèces, mais que l'utilisation des marqueurs sur les chromosomes X et Y pour des études phylogéographiques est limitée par le peu de polymorphisme observé sur ces deux types de marqueurs. Le même jeu de données combiné avec des simulations a été employé pour comprendre les facteurs responsables de la faible variabilité sur le chromosome Y qui peut être expliqué, dans notre étude, par la démographie et les traits d'histoire de vie de C. russula. SUMMARY The sex of an individual is determined either by its environment or its genetics. Genetic sex determination relies on the presence of specific chromosomes that will determine the sex of their bearer. In this thesis, I studied the evolution of the sex chromosomes and the context in which markers on this type of chromosomes can be used. To explore the evolution of a Y chromosome, we studied the nascent sex chromosomes in the European tree frog Hyla arborea. First; we amplified a sex specific marker in several related species of European tree frog and found a homogeneous pattern of male heterogamety. Secondly, we used two additional sex-specific markers to show that recombination is suppressed in males but not in females. There is, therefore, no need to invoke background selection or selective sweeps to explain the reduced genetic variability on the Y chromosome, because the lower number of copies of the Y chromosomes per breeding pair and the absence of recombination are sufficient. To further analyze the suppression of recombination in male European. tree frogs, we constructed a microsatellite linkage map for this species. Classical models of sex-chromosome evolution assume that the non-recombining region expands progressively during the long-term evolution of the Y chromosome, owing to the accumulation of structural changes. Here we show a strikingly different pattern: recombination is suppressed or depressed both on sex chromosomes and autosomes in the heterogametic sex, presumably due to the action of general modifiers. We investigated the evolutionary history of the greater white-toothed shrew, Crocidura russula, using markers on both sex chromosomes and mtDNA. This study illustrates that multilocus genetic analyses facilitates the interpretation of a species' evolutionary history. It also demonstrates that phylogeographic inferences from X and Y chromosomal markers are restricted by the low levels of observed polymorphism. Combining this genetic study with simulations, we determined that the demography and the life-history traits of this species can alone be responsible for the low Y diversity. In conclusion, this thesis shows that sex chromosomes, in combination with autosomes or mtDNA, are necessary to understand the evolution of sex chromosomes and to precisely infer the population history of a species.

Improvement of the specificity of cancer detection by autofluorescence imaging in the tracheo-bronchial tree using backscattered violet light.

BACKGROUND: Autofluorescence bronchoscopy (AFB) is a highly sensitive tool for the detection of early bronchial cancers. However, its specificity remains limited due to primarily false positive results induced by hyperplasia, metaplasia and inflammation. We have investigated the potential of blue-violet backscattered light to eliminate false positive results during AFB in a clinical pilot study. METHODS: The diagnostic autofluorescence endoscopy (DAFE) system was equipped with a variable band pass filter in the imaging detection path. The backscattering properties of normal and abnormal bronchial mucosae were assessed by computing the contrast between the two tissue types for blue-violet wavelengths ranging between 410 and 490 nm in 12 patients undergoing routine DAFE examination. In a second study including 6 patients we used a variable long pass (LP) filter to determine the spectral design of the emission filter dedicated to the detection of this blue-violet light with the DAFE system. RESULTS: (Pre-)neoplastic mucosa showed a clear wavelength dependence of the backscattering properties of blue-violet light while the reflectivity of normal, metaplastic and hyperplastic autofluorescence positive mucosa was wavelength independent. CONCLUSIONS: Our results showed that the detection of blue-violet light has the potential to reduce the number of false positive results in AFB. In addition we determined the spectral design of the emission filter dedicated to the detection of this blue-violet light with the DAFE system.

The molecular basis of social behavior: models, methods and advances.

Elucidating the molecular and neural basis of complex social behaviors such as communal living, division of labor and warfare requires model organisms that exhibit these multi-faceted behavioral phenotypes. Social insects, such as ants, bees, wasps and termites, are attractive models to address this problem, with rich ecological and ethological foundations. However, their atypical systems of reproduction have hindered application of classical genetic approaches. In this review, we discuss how recent advances in social insect genomics, transcriptomics, and functional manipulations have enhanced our ability to observe and perturb gene expression, physiology and behavior in these species. Such developments begin to provide an integrated view of the molecular and cellular underpinnings of complex social behavior.

Evaluation cardiologique préopératoire avant chirurgie non cardiaque: du choix cornélien a l'arbre décisionnel [Pre-operative cardiac assessment in non-cardiac surgery: a frequent dilemma simplified by a decision tree].

In patients undergoing non-cardiac surgery, cardiac events are the most common cause of perioperative morbidity and mortality. It is often difficult to choose adequate cardiologic examinations before surgery. This paper, inspired by the guidelines of the European and American societies of cardiology (ESC, AHA, ACC), discusses the place of standard ECG, echocardiography, treadmill or bicycle ergometer and pharmacological stress testing in preoperative evaluations. The role of coronary angiography and prophylactic revascularization will also be discussed. Finally, we provide a decision tree which will be helpful to both general practitioners and specialists.

A tractable consideration set structure for network revenue management

Models incorporating more realistic models of customer behavior, as customers choosing from an offerset, have recently become popular in assortment optimization and revenue management. The dynamicprogram for these models is intractable and approximated by a deterministic linear program called theCDLP which has an exponential number of columns. When there are products that are being consideredfor purchase by more than one customer segment, CDLP is difficult to solve since column generationis known to be NP-hard. However, recent research indicates that a formulation based on segments withcuts imposing consistency (SDCP+) is tractable and approximates the CDLP value very closely. In thispaper we investigate the structure of the consideration sets that make the two formulations exactly equal.We show that if the segment consideration sets follow a tree structure, CDLP = SDCP+. We give acounterexample to show that cycles can induce a gap between the CDLP and the SDCP+ relaxation.We derive two classes of valid inequalities called flow and synchronization inequalities to further improve(SDCP+), based on cycles in the consideration set structure. We give a numeric study showing theperformance of these cycle-based cuts.

Two-sided learning in New Keynesian models: Dynamics, (lack of) convergence and the value of information

This paper investigates the role of learning by private agents and the central bank(two-sided learning) in a New Keynesian framework in which both sides of the economyhave asymmetric and imperfect knowledge about the true data generating process. Weassume that all agents employ the data that they observe (which may be distinct fordifferent sets of agents) to form beliefs about unknown aspects of the true model ofthe economy, use their beliefs to decide on actions, and revise these beliefs througha statistical learning algorithm as new information becomes available. We study theshort-run dynamics of our model and derive its policy recommendations, particularlywith respect to central bank communications. We demonstrate that two-sided learningcan generate substantial increases in volatility and persistence, and alter the behaviorof the variables in the model in a significant way. Our simulations do not convergeto a symmetric rational expectations equilibrium and we highlight one source thatinvalidates the convergence results of Marcet and Sargent (1989). Finally, we identifya novel aspect of central bank communication in models of learning: communicationcan be harmful if the central bank's model is substantially mis-specified.

Selective hiring and welfare analysis in labor market models

Firms select not only how many, but also which workers to hire. Yet, in standardsearch models of the labor market, all workers have the same probability of being hired.We argue that selective hiring crucially affects welfare analysis. Our model is isomorphicto a search model under random hiring but allows for selective hiring. With selectivehiring, the positive predictions of the model change very little, but the welfare costsof unemployment are much larger because unemployment risk is distributed unequallyacross workers. As a result, optimal unemployment insurance may be higher and welfareis lower if hiring is selective.

Bridging DSGE models and the raw data

A method to estimate DSGE models using the raw data is proposed. The approachlinks the observables to the model counterparts via a flexible specification which doesnot require the model-based component to be solely located at business cycle frequencies,allows the non model-based component to take various time series patterns, andpermits model misspecification. Applying standard data transformations induce biasesin structural estimates and distortions in the policy conclusions. The proposed approachrecovers important model-based features in selected experimental designs. Twowidely discussed issues are used to illustrate its practical use.

Calibration of stochastic volatility models via second order approximation: the Heston model case

Using a suitable Hull and White type formula we develop a methodology to obtain asecond order approximation to the implied volatility for very short maturities. Using thisapproximation we accurately calibrate the full set of parameters of the Heston model. Oneof the reasons that makes our calibration for short maturities so accurate is that we alsotake into account the term-structure for large maturities. We may say that calibration isnot "memoryless", in the sense that the option's behavior far away from maturity doesinfluence calibration when the option gets close to expiration. Our results provide a wayto perform a quick calibration of a closed-form approximation to vanilla options that canthen be used to price exotic derivatives. The methodology is simple, accurate, fast, andit requires a minimal computational cost.

Solving non-linear stochastic models by parameterizing expectations: An application to asset pricing with production

A new algorithm called the parameterized expectations approach(PEA) for solving dynamic stochastic models under rational expectationsis developed and its advantages and disadvantages are discussed. Thisalgorithm can, in principle, approximate the true equilibrium arbitrarilywell. Also, this algorithm works from the Euler equations, so that theequilibrium does not have to be cast in the form of a planner's problem.Monte--Carlo integration and the absence of grids on the state variables,cause the computation costs not to go up exponentially when the numberof state variables or the exogenous shocks in the economy increase. \\As an application we analyze an asset pricing model with endogenousproduction. We analyze its implications for time dependence of volatilityof stock returns and the term structure of interest rates. We argue thatthis model can generate hump--shaped term structures.