Combining probabilistic land-use change and tree population dynamics modelling to simulate responses in mountain forests

Altitudinal tree lines are mainly constrained by temperature, but can also be influenced by factors such as human activity, particularly in the European Alps, where centuries of agricultural use have affected the tree-line. Over the last decades this trend has been reversed due to changing agricultural practices and land-abandonment. We aimed to combine a statistical land-abandonment model with a forest dynamics model, to take into account the combined effects of climate and human land-use on the Alpine tree-line in Switzerland. Land-abandonment probability was expressed by a logistic regression function of degree-day sum, distance from forest edge, soil stoniness, slope, proportion of employees in the secondary and tertiary sectors, proportion of commuters and proportion of full-time farms. This was implemented in the TreeMig spatio-temporal forest model. Distance from forest edge and degree-day sum vary through feed-back from the dynamics part of TreeMig and climate change scenarios, while the other variables remain constant for each grid cell over time. The new model, TreeMig-LAb, was tested on theoretical landscapes, where the variables in the land-abandonment model were varied one by one. This confirmed the strong influence of distance from forest and slope on the abandonment probability. Degree-day sum has a more complex role, with opposite influences on land-abandonment and forest growth. TreeMig-LAb was also applied to a case study area in the Upper Engadine (Swiss Alps), along with a model where abandonment probability was a constant. Two scenarios were used: natural succession only (100% probability) and a probability of abandonment based on past transition proportions in that area (2.1% per decade). The former showed new forest growing in all but the highest-altitude locations. The latter was more realistic as to numbers of newly forested cells, but their location was random and the resulting landscape heterogeneous. Using the logistic regression model gave results consistent with observed patterns of land-abandonment: existing forests expanded and gaps closed, leading to an increasingly homogeneous landscape.

Red blood cell structure and dynamics explored with digital holographic microspcopy

Digital holographic microscopy (DHM) is a technique that allows obtaining, from a single recorded hologram, quantitative phase image of living cell with interferometric accuracy. Specifically the optical phase shift induced by the specimen on the transmitted wave front can be regarded as a powerful endogenous contrast agent, depending on both the thickness and the refractive index of the sample. Thanks to a decoupling procedure cell thickness and intracellular refractive index can be measured separately. Consequently, Mean corpuscular volume (MCV) and mean corpuscular hemoglobin concentration (MCHC), two highly relevant clinical parameters, have been measured non-invasively at a single cell level. The DHM nanometric axial and microsecond temporal sensitivities have permitted to measure the red blood cell membrane fluctuations (CMF) on the whole cell surface. ©2009 COPYRIGHT SPIE--The International Society for Optical Engineering.

Role of topological exclusion in formation and organization of chromosomal territories

Chromosomes of eukaryotic organisms are composed of chromatin loops. Using Monte Carlo simulations we investigate how the topological exclusion between loops belonging to different chromosomes affects chromosome behaviour. We show that in a confined space the topological exclusion limiting catenation between loops belonging to different chromosomes entropically drives the formation of chromosomal territories. The same topological exclusion in a connection with interchromosomal binding via transcription factories explains why actively transcribed genes are found preferentially at the peripheries of their chromosomal territories. This paper is based in part on the results presented in J. Dorier and A. Stasiak, Nucl. Acids Res. 37 (2009), 6316 and 38 (2010), 7410.

How local excitation-inhibition ratio impacts the whole brain dynamics.

The spontaneous activity of the brain shows different features at different scales. On one hand, neuroimaging studies show that long-range correlations are highly structured in spatiotemporal patterns, known as resting-state networks, on the other hand, neurophysiological reports show that short-range correlations between neighboring neurons are low, despite a large amount of shared presynaptic inputs. Different dynamical mechanisms of local decorrelation have been proposed, among which is feedback inhibition. Here, we investigated the effect of locally regulating the feedback inhibition on the global dynamics of a large-scale brain model, in which the long-range connections are given by diffusion imaging data of human subjects. We used simulations and analytical methods to show that locally constraining the feedback inhibition to compensate for the excess of long-range excitatory connectivity, to preserve the asynchronous state, crucially changes the characteristics of the emergent resting and evoked activity. First, it significantly improves the model's prediction of the empirical human functional connectivity. Second, relaxing this constraint leads to an unrealistic network evoked activity, with systematic coactivation of cortical areas which are components of the default-mode network, whereas regulation of feedback inhibition prevents this. Finally, information theoretic analysis shows that regulation of the local feedback inhibition increases both the entropy and the Fisher information of the network evoked responses. Hence, it enhances the information capacity and the discrimination accuracy of the global network. In conclusion, the local excitation-inhibition ratio impacts the structure of the spontaneous activity and the information transmission at the large-scale brain level.

"Accomodating science" : a new way of thinking about rhetorical dynamics

By analyzing three case studies (neutrinos, victimization survey and quality of mass media), our present issue is to figure out if underlying successive accommodations to new rhetorical situations will have an impact on the respective importance of logos, ethos and pathos. We would like to pinpoint the stakes of science's public dimensions considering the scientists' image, their expertise, and also the given results' implication. We will especially take into account scientific papers that may be or are potentially controversial in the political, media and civic spheres.

HIV-1 reverse transcriptase connection domain mutations: dynamics of emergence and implications for success of combination antiretroviral therapy.

BACKGROUND: Factors promoting the emergence of human immunodeficiency virus type 1 (HIV-1) reverse transcriptase (RT) connection domain mutations and their effect on antiretroviral therapy (ART) are still largely undetermined. We investigated this matter by analyzing genotypic resistance tests covering 400 amino acid positions in the RT of HIV-1 subtype B viruses and corresponding treatment histories and laboratory measurements. METHODS: The emergence of connection domain mutations was studied in 334 patients receiving monotherapy or dual therapy with thymidine analogues at the time of the genotypic resistance test. Response to subsequent combination ART (cART) was analyzed using Cox regression for 291 patients receiving unboosted protease inhibitors. Response was defined by ever reaching an HIV RNA level <50 copies/mL during the first cART. RESULTS: The connection domain mutations N348I, R356K, R358K, A360V, and A371V were more frequently observed in ART-exposed than ART-naive patients, of which only N348I and A360V were nonpolymorphic (with a prevalence of <1.5% in untreated patients). N348I correlated with M184V and predominantly occurred in patients receiving lamivudine and zidovudine concomitantly. A360V was not associated with specific drug combinations and was found to emerge later than M184V or thymidine analogue mutations. Nonpolymorphic connection domain mutations were rarely detected in the absence of established drug resistance mutations in ART-exposed individuals (prevalence, <1%). None of the 5 connection domain mutations associated with treatment showed a statistically significant effect on response to cART. CONCLUSIONS: Despite their frequent emergence, connection domain mutations did not show large detrimental effects on response to cART. Currently, routine implementation of connection domain sequencing seems unnecessary for developed health care settings.

A topological invariant to predict the three-dimensional writhe of ideal configurations of knots and links.

We present herein a topological invariant of oriented alternating knots and links that predicts the three-dimensional (3D) writhe of the ideal geometrical configuration of the considered knot/link. The fact that we can correlate a geometrical property of a given configuration with a topological invariant supports the notion that the ideal configuration contains important information about knots and links. The importance of the concept of ideal configuration was already suggested by the good correlation between the 3D writhe of ideal knot configurations and the ensemble average of the 3D writhe of random configurations of the considered knots. The values of the new invariant are quantized: multiples of 4/7 for links with an odd number of components (including knots) and 2/7 plus multiples of 4/7 for links with an even number of components.

ELECTROCORTICAL DYNAMICS OF MOTOR INHIBITORY CONTROL WITH AGING

Motor inhibitory control plays a central role in adaptive behaviors during the entire lifespan. Inhibitory motor control refers to the ability to stop all (global) or a part (selective) of a planned or ongoing motor action. Although the neural processing underlying the global inhibitory control has received much attention from cognitive neuroscientists, brain modulations that occur during selective inhibitory motor control remain unknown. The aim of the present thesis is to investigate the spatio-temporal brain processes of selective inhibitory motor control in young and old adults using high-density electroencephalography. In the first part, we focus on early (preparatory period) spatio-temporal brain processes involved in selective and global inhibitory control in young (study I) and old adults (study II) using a modified Go/No-go task. In study I, we distinguished global from selective inhibition in the early attentional stage of inhibitory control and provided neurophysiological evidence in favor of the combination model. In study II, we showed an under-recruitment of neural resources associated with preservation of performance in old adults during selective inhibition, suggesting efficient cerebral and behavioral adaptations to environmental changes. In the second part, we investigate beta oscillations in the late (post-execution period) spatio-temporal brain processes of selective inhibition during a motor Switching task (i.e., tapping movement from bimanual to unimanual) in young (study III) and old adults (study IV). In study III, we identified concomitant beta synchronization related (i) to sensory reafference processes, which enabled the stabilization of the movement that was perturbed after switching, and (ii) to active inhibition processes that prevented movement of the stopping hand. In study IV, we demonstrated a larger beta synchronization in frontal and parietal regions in old adults compared to young adults, suggesting age-related brain modulations in active inhibition processes. Apart from contributing to a basic understanding of the electrocortical dynamics underlying inhibitory motor control, the findings of the present studies contribute to knowledge regarding the further establishment of specific trainings with aging. -- Le contrôle de l'inhibition motrice joue un rôle central dans les adaptations comportementales quel que soit l'âge. L'inhibition motrice se réfère à la capacité à arrêter entièrement (globale) ou en partie (sélective) une action motrice planifiée ou en cours. Bien que les processus neuronaux sous-jacents de l'inhibition globale aient suscité un grand intérêt auprès des neurosciences cognitives, les modulations cérébrales dans le contrôle de l'inhibition motrice sélective sont encore peu connues. Le but de cette thèse est d'étudier les processus cérébraux spatio-temporels du contrôle de l'inhibition motrice sélective chez les adultes jeunes et âgés en utilisant l'électroencéphalogramme à haute densité. Dans la première partie, nous comparons les processus cérébraux spatio-temporels précoces (préparation motrice) de l'inhibition sélective et globale chez des adultes jeunes (étude I) et âgés (étude II) en utilisant une tâche Go/No-go modifiée. Dans l'étude I, nous avons distingué l'inhibition globale et sélective au niveau des processus attentionnels précoces du contrôle de l'inhibition et nous avons apporté des preuves neurophysiologiques de l'existence d'un modèle de combinaison. Dans l'étude II, nous avons montré une sous-activation neuronale associée à un maintien de la performance dans l'inhibition sélective chez les adultes âgés, suggérant des adaptations cérébrales et comportementales aux contraintes environnementales. Dans la seconde partie, nous examinons les processus cérébraux spatio-temporels tardifs (post-exécution motrice) de l'inhibition sélective pendant une tâche de Switching (tapping bimanuel vers un tapping unimanuel) chez des adultes jeunes (étude III) et âgés (étude IV). Dans l'étude III, nous avons distingué des synchronisations beta liées (i) au traitement des réafférences sensorielles permettant de stabiliser le mouvement perturbé après le switching, et (ii) aux processus d'inhibition active afin d'empêcher les mouvements de la main arrêtée. Dans l'étude IV, cette synchronisation beta était plus forte dans les régions frontales et pariétales chez les âgés par rapport aux jeunes adultes suggérant des modulations cérébrales de l'inhibition active avec l'âge. Outre la contribution fondamentale sur la compréhension des dynamiques électrocorticales dans le contrôle de l'inhibition motrice, les résultats de ces études contribuent à développer les connaissances pour la mise en place de programmes d'entraînements adaptés aux personnes âgées.

Actin filament dynamics impacts keratinocyte stem cell maintenance.

Cultured human epidermal keratinocyte stem cells (holoclones) are crucial for regenerative medicine for burns and genetic disorders. In serial culture, holoclones progressively lose their proliferative capacity to become transient amplifying cells with limited growth (paraclones), a phenomenon termed clonal conversion. Although it negatively impacts the culture lifespan and the success of cell transplantation, little is known on the molecular mechanism underlying clonal conversion. Here, we show that holoclones and paraclones differ in their actin filament organization, with actin bundles distributed radially in holoclones and circumferentially in paraclones. Moreover, actin organization sets the stage for a differing response to epidermal growth factor (EGF), since EGF signalling induces a rapid expansion of colony size in holoclones and a significant reduction in paraclones. Furthermore, inhibition of PI3K or Rac1 in holoclones results in the reorganization of actin filaments in a pattern that is similar to that of paraclones. Importantly, continuous Rac1 inhibition in holoclones results in clonal conversion and reduction of growth potential. Together, our data connect loss of stem cells to EGF-induced colony dynamics governed by Rac1.

Niche dynamics in space and time.

Niche conservatism, the tendency of a species niche to remain unchanged over time, is often assumed when discussing, explaining or predicting biogeographical patterns. Unfortunately, there has been no basis for predicting niche dynamics over relevant timescales, from tens to a few hundreds of years. The recent application of species distribution models (SDMs) and phylogenetic methods to analysis of niche characteristics has provided insight to niche dynamics. Niche shifts and conservatism have both occurred within the last 100 years, with recent speciation events, and deep within clades of species. There is increasing evidence that coordinated application of these methods can help to identify species which likely fulfill one key assumption in the predictive application of SDMs: an unchanging niche. This will improve confidence in SDM-based predictions of the impacts of climate change and species invasions on species distributions and biodiversity.