What can ecosystems learn? Expanding evolutionary ecology with learning theory.

BACKGROUND: The structure and organisation of ecological interactions within an ecosystem is modified by the evolution and coevolution of the individual species it contains. Understanding how historical conditions have shaped this architecture is vital for understanding system responses to change at scales from the microbial upwards. However, in the absence of a group selection process, the collective behaviours and ecosystem functions exhibited by the whole community cannot be organised or adapted in a Darwinian sense. A long-standing open question thus persists: Are there alternative organising principles that enable us to understand and predict how the coevolution of the component species creates and maintains complex collective behaviours exhibited by the ecosystem as a whole? RESULTS: Here we answer this question by incorporating principles from connectionist learning, a previously unrelated discipline already using well-developed theories on how emergent behaviours arise in simple networks. Specifically, we show conditions where natural selection on ecological interactions is functionally equivalent to a simple type of connectionist learning, 'unsupervised learning', well-known in neural-network models of cognitive systems to produce many non-trivial collective behaviours. Accordingly, we find that a community can self-organise in a well-defined and non-trivial sense without selection at the community level; its organisation can be conditioned by past experience in the same sense as connectionist learning models habituate to stimuli. This conditioning drives the community to form a distributed ecological memory of multiple past states, causing the community to: a) converge to these states from any random initial composition; b) accurately restore historical compositions from small fragments; c) recover a state composition following disturbance; and d) to correctly classify ambiguous initial compositions according to their similarity to learned compositions. We examine how the formation of alternative stable states alters the community's response to changing environmental forcing, and we identify conditions under which the ecosystem exhibits hysteresis with potential for catastrophic regime shifts. CONCLUSIONS: This work highlights the potential of connectionist theory to expand our understanding of evo-eco dynamics and collective ecological behaviours. Within this framework we find that, despite not being a Darwinian unit, ecological communities can behave like connectionist learning systems, creating internal conditions that habituate to past environmental conditions and actively recalling those conditions. REVIEWERS: This article was reviewed by Prof. Ricard V Solé, Universitat Pompeu Fabra, Barcelona and Prof. Rob Knight, University of Colorado, Boulder.

Inactive matrix gla-protein is associated with arterial atiffness in an adult population-based study

La vitesse de l'onde de pouls (VOP) est la méthode pour mesurer la rigidité artérielle la plus répandue et la plus validée. C'est aussi un prédicteur indépendant de la mortalité. La Matrix Gla- protein (MGP) est une protein qui inhibe les calcifications vasculaires. MGP nécessite une enzyme dérivée de la vitamine K pour être activée, à l'instar de certains facteurs de coagulation. La forme inactive de MGP, connue sous le terme de « desphospho-uncarboxylated MGP » (dp-ucMGP), peut-être mesurée dans le plasma. Plus les apports de vitamine K sont importants plus les taux de dp-ucMGP diminue. Les taux de dp-ucMGP ont déjà été étudiés et associés à différents marqueurs cardiovasculaires (CV), aux événements CV et à la mortalité. Dans notre travail de recherche nous avons émis l'hypothèse que des taux élevés de dp-ucMGP seraient associés à une VOP élevée. Nous avons recruté les participants à travers une étude multicentrique suisse (SKIPOGH). Le processus de recrutement ciblait des familles dans lesquelles plusieurs membres étaient d'accord de participer. Nous avons mesuré la dp-ucMGP plasmatique grâce à la méthode immuno-enzymatique « ELISA ». Concernant la VOP, nous avons mesuré les ondes de pression au niveau carotidien et fémorale grâce à un tonomètre et calculer la vitesse de leurs propagations. Par la suite nous avons utilisé un modèle de régression linéaire multiple afin de déterminer le lien entre la VOP et dp- ucMGP. Le modèle était ajusté pour l'âge, la fonction rénale et les risques CV classiques. Nous avons inclut 1001 participants dans les analyses (475 hommes et 526 femmes). La valeur moyenne de la VOP était de 7.87 ± 2.10 (m/s) et celle de dp-ucMGP de 0.43 ± 0.20 (nmol/L). La VOP était positivement et significativement associée à dp-ucMGP avant comme après ajustement pour le sexe, l'âge, l'indice de masse corporel, la taille, la pression artérielle systolique et diastolique, la fréquence cardiaque, la fonction rénale, les taux de cholestérol (LDL, HDL), la glycémie, la consommation de tabac, la présence d'un diabète, l'utilisation de médicaments antihypertenseurs ou hypolipémiants et la présence d'antécédents CV (P<0.01). En conclusion, des taux élevés de dp-ucMGP sont positivement et indépendamment associés à la rigidité artérielle après ajustement pour les facteurs de risques CV traditionnels, la fonction rénale et l'âge. Des études expérimentales sont nécessaires afin de déterminer si une supplémentation en vitamine K permet de ralentir l'avancement de la rigidité artérielle grâce à son activation de la MGP.

Investigating the functions of subregions within anterior hippocampus.

Previous functional MRI (fMRI) studies have associated anterior hippocampus with imagining and recalling scenes, imagining the future, recalling autobiographical memories and visual scene perception. We have observed that this typically involves the medial rather than the lateral portion of the anterior hippocampus. Here, we investigated which specific structures of the hippocampus underpin this observation. We had participants imagine novel scenes during fMRI scanning, as well as recall previously learned scenes from two different time periods (one week and 30 min prior to scanning), with analogous single object conditions as baselines. Using an extended segmentation protocol focussing on anterior hippocampus, we first investigated which substructures of the hippocampus respond to scenes, and found both imagination and recall of scenes to be associated with activity in presubiculum/parasubiculum, a region associated with spatial representation in rodents. Next, we compared imagining novel scenes to recall from one week or 30 min before scanning. We expected a strong response to imagining novel scenes and 1-week recall, as both involve constructing scene representations from elements stored across cortex. By contrast, we expected a weaker response to 30-min recall, as representations of these scenes had already been constructed but not yet consolidated. Both imagination and 1-week recall of scenes engaged anterior hippocampal structures (anterior subiculum and uncus respectively), indicating possible roles in scene construction. By contrast, 30-min recall of scenes elicited significantly less activation of anterior hippocampus but did engage posterior CA3. Together, these results elucidate the functions of different parts of the anterior hippocampus, a key brain area about which little is definitely known.

Systematic evaluation of matrix effects in hydrophilic interaction chromatography versus reversed phase liquid chromatography coupled to mass spectrometry.

Reversed phase liquid chromatography (RPLC) coupled to mass spectrometry (MS) is the gold standard technique in bioanalysis. However, hydrophilic interaction chromatography (HILIC) could represent a viable alternative to RPLC for the analysis of polar and/or ionizable compounds, as it often provides higher MS sensitivity and alternative selectivity. Nevertheless, this technique can be also prone to matrix effects (ME). ME are one of the major issues in quantitative LC-MS bioanalysis. To ensure acceptable method performance (i.e., trueness and precision), a careful evaluation and minimization of ME is required. In the present study, the incidence of ME in HILIC-MS/MS and RPLC-MS/MS was compared for plasma and urine samples using two representative sets of 38 pharmaceutical compounds and 40 doping agents, respectively. The optimal generic chromatographic conditions in terms of selectivity with respect to interfering compounds were established in both chromatographic modes by testing three different stationary phases in each mode with different mobile phase pH. A second step involved the assessment of ME in RPLC and HILIC under the best generic conditions, using the post-extraction addition method. Biological samples were prepared using two different sample pre-treatments, i.e., a non-selective sample clean-up procedure (protein precipitation and simple dilution for plasma and urine samples, respectively) and a selective sample preparation, i.e., solid phase extraction for both matrices. The non-selective pretreatments led to significantly less ME in RPLC vs. HILIC conditions regardless of the matrix. On the contrary, HILIC appeared as a valuable alternative to RPLC for plasma and urine samples treated by a selective sample preparation. Indeed, in the case of selective sample preparation, the compounds influenced by ME were different in HILIC and RPLC, and lower and similar ME occurrence was generally observed in RPLC vs. HILIC for urine and plasma samples, respectively. The complementary of both chromatographic modes was also demonstrated, as ME was observed only scarcely for urine and plasma samples when selecting the most appropriate chromatographic mode.