Synthetic eco-evolutionary dynamics in simple molecular environment.

The understanding of eco-evolutionary dynamics, and in particular the mechanism of coexistence of species, is still fragmentary and in need of test bench model systems. To this aim we developed a variant of SELEX in vitro selection to study the evolution of a population of ∼10 single-strand DNA oligonucleotide 'individuals'. We begin with a seed of random sequences which we select via affinity capture from ∼10 DNA oligomers of fixed sequence ('resources') over which they compete.

Seeing the forest for the trees through metabolic scaling.

We demonstrate that when power scaling occurs for an individual tree and in a forest, there is great resulting simplicity notwithstanding the underlying complexity characterizing the system over many size scales. Our scaling framework unifies seemingly distinct trends in a forest and provides a simple yet promising approach to quantitatively understand a bewilderingly complex many-body system with imperfectly known interactions. We show that the effective dimension, , of a tree is close to 3, whereas a mature forest has approaching 1.

Upscaling human activity data: A statistical ecology approach.

Big data require new techniques to handle the information they come with. Here we consider four datasets (email communication, Twitter posts, Wikipedia articles and Gutenberg books) and propose a novel statistical framework to predict global statistics from random samples. More precisely, we infer the number of senders, hashtags and words of the whole dataset and how their abundances (i.

Upscaling Statistical Patterns from Reduced Storage in Social and Life Science Big Datasets.

Recent technological and computational advances have enabled the collection of data at an unprecedented rate. On the one hand, the large amount of data suddenly available has opened up new opportunities for new data-driven research but, on the other hand, it has brought into light new obstacles and challenges related to storage and analysis limits. Here, we strengthen an upscaling approach borrowed from theoretical ecology that allows us to infer with small errors relevant patterns of a dataset in its entirety, although only a limited fraction of it has been analysed.

Taxonomic classification method for metagenomics based on core protein families with Core-Kaiju.

Characterizing species diversity and composition of bacteria hosted by biota is revolutionizing our understanding of the role of symbiotic interactions in ecosystems. Determining microbiomes diversity implies the assignment of individual reads to taxa by comparison to reference databases. Although computational methods aimed at identifying the microbe(s) taxa are available, it is well known that inferences using different methods can vary widely depending on various biases.

The distance decay of similarity in tropical rainforests. A spatial point processes analytical formulation.

In this paper we are concerned with the analytical description of the change in floristic composition (species turnover) with the distance between two plots of a tropical rainforest due to the clustering of the individuals of the different species. We describe the plant arrangement by a superposition of spatial point processes and in this framework we introduce an analytical function which represents the average spatial density of the Sørensen similarity between two infinitesimal plots at distance r. We see that the decay in similarity with the distance is essentially described by the pair correlation function of the superposed process and that it is governed by the most abundant species.

Upscaling species richness and abundances in tropical forests.

The quantification of tropical tree biodiversity worldwide remains an open and challenging problem. More than two-fifths of the number of worldwide trees can be found either in tropical or in subtropical forests, but only ≈0.000067% of species identities are known.

Update on psychological functioning in adults with congenital heart disease: a systematic review.

The population of adults with congenital heart disease is increasing due to advancements in cardiology and cardiac surgery. Many patients face medical complications and psychosocial difficulties; however, it is not yet clear whether there is a direct relationship between medical status and the psychological functioning of these patients. This systematic review of the relevant literature is an attempt to: provide a comparison between the population of adults with congenital heart disease, the healthy reference population and similar cardiac populations when it comes to psychological functioning; explore the relationship between medical status/cardiac condition and psychological functioning; and identify the predictors of psychological distress in this population.