Evolutionary insights on C4 photosynthetic subtypes in grasses from genomics and phylogenetics

In plants, an oligogene family encodes NADP-malic enzymes (NADP-me), which are responsible for various functions and exhibit different kinetics and expression patterns. In particular, a chloroplast isoform of NADP-me plays a key role in one of the three biochemical subtypes of C4 photosynthesis, an adaptation to warm environments that evolved several times independently during angiosperm diversification. By combining genomic and phylogenetic approaches, this study aimed at identifying the molecular mechanisms linked to the recurrent evolutions of C4-specific NADP-me in grasses (Poaceae). Genes encoding NADP-me (nadpme) were retrieved from genomes of model grasses and isolated from a large sample of C3 and C4 grasses. Genomic and phylogenetic analyses showed that 1) the grass nadpme gene family is composed of four main lineages, one of which is expressed in plastids (nadpme-IV), 2) C4-specific NADP-me evolved at least five times independently from nadpme-IV, and 3) some codons driven by positive selection underwent parallel changes during the multiple C4 origins. The C4 NADP-me being expressed in chloroplasts probably constrained its recurrent evolutions from the only plastid nadpme lineage and this common starting point limited the number of evolutionary paths toward a C4 optimized enzyme, resulting in genetic convergence. In light of the history of nadpme genes, an evolutionary scenario of the C4 phenotype using NADP-me is discussed.

An evolutionary analysis of the relationship between spite and altruism.

We investigate the selective pressures on a social trait when evolution occurs in a population of constant size. We show that any social trait that is spiteful simultaneously qualifies as altruistic. In other words, any trait that reduces the fitness of less related individuals necessarily increases that of related ones. Our analysis demonstrates that the distinction between "Hamiltonian spite" and "Wilsonian spite" is not justified on the basis of fitness effects. We illustrate this general result with an explicit model for the evolution of a social act that reduces the recipient's survival ("harming trait"). This model shows that the evolution of harming is favoured if local demes are of small size and migration is low (philopatry). Further, deme size and migration rate determine whether harming evolves as a selfish strategy by increasing the fitness of the actor, or as a spiteful/altruistic strategy through its positive effect on the fitness of close kin.

The neuro-ICU patient and electroencephalography paroxysms: if and when to treat.

PURPOSE OF REVIEW: To review recent clinical data and summarize actual recommendations for the management of electrographic seizures and status epilepticus in neuro-ICU patients. RECENT FINDINGS: Electrographic, 'nonconvulsive', seizures are frequent in neuro-ICU patients including traumatic brain injury, subarachnoid hemorrhage, intracerebral hemorrhage and hypoxic-ischemic encephalopathy. Continuous electroencephalography monitoring is thus of great potential utility. The impact of electrographic seizures on outcome however is not entirely established and it is also unclear what type of electroencephalography paroxysms require treatment and when and how exactly to treat them. Evidence from randomized studies is lacking and will not be available in the near future. Given robust animal and human evidence showing the potential negative impact of seizures on secondary cerebral damage and outcome, treatment of seizures appears reasonable, particularly if related to status epilepticus. On the contrary, over-aggressive antiepileptic therapy entails risks. The management of seizures should therefore be guided individually, based on the underlying cause, the severity of illness and patient comorbidities. SUMMARY: We provide a pragmatic approach for the management of electrographic seizures in neuro-ICU patients. International consensus guidelines on continuous electroencephalography monitoring and seizure therapy are needed and would represent the rationale for a future multicenter randomized trial.

An efficient algorithm to perform multiple testing in epistasis screening

Background: Research in epistasis or gene-gene interaction detection for human complex traits has grown over the last few years. It has been marked by promising methodological developments, improved translation efforts of statistical epistasis to biological epistasis and attempts to integrate different omics information sources into the epistasis screening to enhance power. The quest for gene-gene interactions poses severe multiple-testing problems. In this context, the maxT algorithm is one technique to control the false-positive rate. However, the memory needed by this algorithm rises linearly with the amount of hypothesis tests. Gene-gene interaction studies will require a memory proportional to the squared number of SNPs. A genome-wide epistasis search would therefore require terabytes of memory. Hence, cache problems are likely to occur, increasing the computation time. In this work we present a new version of maxT, requiring an amount of memory independent from the number of genetic effects to be investigated. This algorithm was implemented in C++ in our epistasis screening software MBMDR-3.0.3. We evaluate the new implementation in terms of memory efficiency and speed using simulated data. The software is illustrated on real-life data for Crohn’s disease. Results: In the case of a binary (affected/unaffected) trait, the parallel workflow of MBMDR-3.0.3 analyzes all gene-gene interactions with a dataset of 100,000 SNPs typed on 1000 individuals within 4 days and 9 hours, using 999 permutations of the trait to assess statistical significance, on a cluster composed of 10 blades, containing each four Quad-Core AMD Opteron(tm) Processor 2352 2.1 GHz. In the case of a continuous trait, a similar run takes 9 days. Our program found 14 SNP-SNP interactions with a multiple-testing corrected p-value of less than 0.05 on real-life Crohn’s disease (CD) data. Conclusions: Our software is the first implementation of the MB-MDR methodology able to solve large-scale SNP-SNP interactions problems within a few days, without using much memory, while adequately controlling the type I error rates. A new implementation to reach genome-wide epistasis screening is under construction. In the context of Crohn’s disease, MBMDR-3.0.3 could identify epistasis involving regions that are well known in the field and could be explained from a biological point of view. This demonstrates the power of our software to find relevant phenotype-genotype higher-order associations.

A Canonical Genetic Algorithm for Blind Inversion of Linear Channels

It is well known the relationship between source separation and blind deconvolution: If a filtered version of an unknown i.i.d. signal is observed, temporal independence between samples can be used to retrieve the original signal, in the same manner as spatial independence is used for source separation. In this paper we propose the use of a Genetic Algorithm (GA) to blindly invert linear channels. The use of GA is justified in the case of small number of samples, where other gradient-like methods fails because of poor estimation of statistics.

Evolutionary fate of retroposed gene copies in the human genome.

Given that retroposed copies of genes are presumed to lack the regulatory elements required for their expression, retroposition has long been considered a mechanism without functional relevance. However, through an in silico assay for transcriptional activity, we identify here >1,000 transcribed retrocopies in the human genome, of which at least approximately 120 have evolved into bona fide genes. Among these, approximately 50 retrogenes have evolved functions in testes, more than half of which were recruited as functional autosomal counterparts of X-linked genes during spermatogenesis. Generally, retrogenes emerge "out of the testis," because they are often initially transcribed in testis and later evolve stronger and sometimes more diverse spatial expression patterns. We find a significant excess of transcribed retrocopies close to other genes or within introns, suggesting that retrocopies can exploit the regulatory elements and/or open chromatin of neighboring genes to become transcribed. In direct support of this hypothesis, we identify 36 retrocopy-host gene fusions, including primate-specific chimeric genes. Strikingly, 27 intergenic retrogenes have acquired untranslated exons de novo during evolution to achieve high expression levels. Notably, our screen for highly transcribed retrocopies also uncovered a retrogene linked to a human recessive disorder, gelatinous drop-like corneal dystrophy, a form of blindness. These functional implications for retroposition notwithstanding, we find that the insertion of retrocopies into genes is generally deleterious, because it may interfere with the transcription of host genes. Our results demonstrate that natural selection has been fundamental in shaping the retrocopy repertoire of the human genome.

Evolutionary implications of polygyny in the Argentine ant, Iridomyrmex humilis (Mayr) (Hymenoptera: Formicidae): an experimental study

A comparison of several physiological parameters of queens of Iridomyrmex humilis in experimental monogynous and polygynous colonies showed that queens in monogynous colonies became heavier, had more developed ovaries and laid about twice as many eggs. Workers in monogynous colonies were more attracted to queens, which therefore probably received more food. This may partially explain the higher weight and fecundity of queens in monogynous colonies of Iridomyrmex humilis and possibly other ant species. In polygynous colonies, queens differed greatly in their fecundity. These differences did not appear to be the result of a dominance hierarchy. These results are discussed from an evolutionary point of view. Two hypotheses of mutualism and colony level selection are proposed as an alternative to kin selection which is unlikely to be the exclusive selective influence in the evolution of polygyny either in I. humilis or in most other ant species.

Typing less common ovarian tumors: A training tool based on a pattern-based algorithm applied to a set of 20 virtual slides.

Context: Ovarian tumors (OT) typing is a competency expected from pathologists, with significant clinical implications. OT however come in numerous different types, some rather rare, with the consequence of few opportunities for practice in some departments. Aim: Our aim was to design a tool for pathologists to train in less common OT typing. Method and Results: Representative slides of 20 less common OT were scanned (Nano Zoomer Digital Hamamatsu®) and the diagnostic algorithm proposed by Young and Scully applied to each case (Young RH and Scully RE, Seminars in Diagnostic Pathology 2001, 18: 161-235) to include: recognition of morphological pattern(s); shortlisting of differential diagnosis; proposition of relevant immunohistochemical markers. The next steps of this project will be: evaluation of the tool in several post-graduate training centers in Europe and Québec; improvement of its design based on evaluation results; diffusion to a larger public. Discussion: In clinical medicine, solving many cases is recognized as of utmost importance for a novice to become an expert. This project relies on the virtual slides technology to provide pathologists with a learning tool aimed at increasing their skills in OT typing. After due evaluation, this model might be extended to other uncommon tumors.

Natural genetic variation in Arabidopsis: tools, traits and prospects for evolutionary ecology.

BACKGROUND: The model plant Arabidopsis thaliana (Arabidopsis) shows a wide range of genetic and trait variation among wild accessions. Because of its unparalleled biological and genomic resources, the potential of Arabidopsis for molecular genetic analysis of this natural variation has increased dramatically in recent years. SCOPE: Advanced genomics has accelerated molecular phylogenetic analysis and gene identification by quantitative trait loci (QTL) mapping and/or association mapping in Arabidopsis. In particular, QTL mapping utilizing natural accessions is now becoming a major strategy of gene isolation, offering an alternative to artificial mutant lines. Furthermore, the genomic information is used by researchers to uncover the signature of natural selection acting on the genes that contribute to phenotypic variation. The evolutionary significance of such genes has been evaluated in traits such as disease resistance and flowering time. However, although molecular hallmarks of selection have been found for the genes in question, a corresponding ecological scenario of adaptive evolution has been difficult to prove. Ecological strategies, including reciprocal transplant experiments and competition experiments, and utilizing near-isogenic lines of alleles of interest will be a powerful tool to measure the relative fitness of phenotypic and/or allelic variants. CONCLUSIONS: As the plant model organism, Arabidopsis provides a wealth of molecular background information for evolutionary genetics. Because genetic diversity between and within Arabidopsis populations is much higher than anticipated, combining this background information with ecological approaches might well establish Arabidopsis as a model organism for plant evolutionary ecology.

A hybrid algorithm combining metaheuristic with Monte Carlo simulation for solving the Stochastic Flow Shop problem

In this paper, a hybrid simulation-based algorithm is proposed for the StochasticFlow Shop Problem. The main idea of the methodology is to transform the stochastic problem into a deterministic problem and then apply simulation to the latter. In order to achieve this goal, we rely on Monte Carlo Simulation and an adapted version of a deterministic heuristic. This approach aims to provide flexibility and simplicity due to the fact that it is not constrained by any previous assumption and relies in well-tested heuristics.

A hybrid algorithm combining metaheuristic with Monte Carlo simulation for solving the Stochastic Flow Shop problem

In this paper, a hybrid simulation-based algorithm is proposed for the StochasticFlow Shop Problem. The main idea of the methodology is to transform the stochastic problem into a deterministic problem and then apply simulation to the latter. In order to achieve this goal, we rely on Monte Carlo Simulation and an adapted version of a deterministic heuristic. This approach aims to provide flexibility and simplicity due to the fact that it is not constrained by any previous assumption and relies in well-tested heuristics.

Evolutionary ecology of the colour-dimorphic rewardless orchid "Dactylorhiza sambucina"

Abstract Phenotypic polymorphism is an ideal system to study natural selection in wild populations, because it allows tracking population genetic changes by means of phenotypic changes. A wide variety of polymorphic traits have been studied in numerous animals and plants, as for example colour patterns in moths, snails and birds, human laterality, male reproductive strategies, plant morphology or mating systems. This thesis focused on Dactylorhiza sarnbucina, a rewardless European orchid species, showing a striking flower colour polymorphism, with either yellow or red flowered individuals co-occurring in natural populations. Several studies have investigated its evolutionary ecology since Nilsson's seminal paper in 1980, with a particular emphasis in the evolution and maintenance of its colour polymorphism. One of the main selective forces proposed to maintain this colour polymorphism was pollinator driven negative frequency-dependent selection (NFDS), when each morph is advantaged when rare, and comparatively disadvantaged when common. However, other investigators have recently questioned the occurrence of NFDS, and proposed alternatively that fluctuating selection may maintain this colour polymorphism. In this thesis, we aimed at reviewing and synthesizing these different studies, and also brought our contribution on D. sambucina reproductive ecology. Because numerous hypotheses have still to be tested, we concluded by saying that we are a long way from understanding the evolution and dynamics of colour polymorphism in natural D. sambucina populations. Beside the debated question of colour polymorphism maintenance, one question remained to be tested: what are the consequences of polymorphism per se. We experimentally addressed this question using artificial populations of D. sambucina, and found no relationship between population phenotypic diversity and orchid pollination success. This finding suggest that polymorphism itself was not an advantage for deceptive species such D sambucina, contrarily to the expectations. Finally, we suggest potential research perspectives that could allow a better understanding of the evolutionary ecology of this species. Résumé Le polymorphisme phénotypique est un système biologique idéal pour étudier l'action de la sélection en populations naturelles, grâce à la possibilité de suivre les changements génétiques de la population en étudiant les phénotypes des individus. De très nombreuses études ont montré du polymorphisme phénotypique chez les animaux, par exemple la latéralité chez l'Homme, la coloration des escargots ou des oiseaux. Dans le règne végétal, le polymorphisme est souvent associé à des traits du système de reproduction. Cette thèse est centrée sur une espèce d'orchidée Européenne qui ne produit pas de nectar, Dactylorhiza sambucina. Cette espèce présente des individus à fleurs jaunes et des individus à fleurs rouge, généralement présents en mélange dans les populations naturelles. Plusieurs études ont investigué l'écologie évolutive de cette espèce depuis 25 ans, avec comme thème central l'évolution et le maintien de ce polymorphisme. La principale force sélective proposée pour maintenir ce polymorphisme de couleur est la sélection fréquence-dépendante, exercée par le comportement des pollinisateurs. Chacun des deux variants de couleur est favorisé quand il est rare, et défavorisé quand il devient commun. Bien que ce mécanisme semble agir, certains auteurs doutent de son importance, et ont proposé que les variations temporelles ou spatiales des forces de sélection puisse maintenir le polymorphisme de couleur chez D. sambucina. Dans cette thèse, nous avons voulu résumer et synthétiser les résultats de ces différentes études, et aussi présenter des données nouvelles concernant la reproduction de cette espèce. À la vue de ces résultats, il apparait que de nombreux points nécessitent des expériences complémentaires, et que la compréhension de ce système biologique est encore fragmentaire. Nous nous sommes également intéressés à une question laissée en suspens dans la littérature: le polymorphisme de couleur en soit confère-t-il un avantage à l'espèce, comme proposé par certains auteurs? En construisant des populations artificielles de D. sambucina, nous avons pu montrer que le polymorphisme de couleur n'augmente pas le succès reproducteur de l'espèce. Nous terminons ce travail de recherche en proposant plusieurs axes de recherche pouvant conduire à une meilleure compréhension de l'écologie et de l'évolution de cette espèce.

Molecular dating, evolutionary rates, and the age of the grasses.

Many questions in evolutionary biology require an estimate of divergence times but, for groups with a sparse fossil record, such estimates rely heavily on molecular dating methods. The accuracy of these methods depends on both an adequate underlying model and the appropriate implementation of fossil evidence as calibration points. We explore the effect of these in Poaceae (grasses), a diverse plant lineage with a very limited fossil record, focusing particularly on dating the early divergences in the group. We show that molecular dating based on a data set of plastid markers is strongly dependent on the model assumptions. In particular, an acceleration of evolutionary rates at the base of Poaceae followed by a deceleration in the descendants strongly biases methods that assume an autocorrelation of rates. This problem can be circumvented by using markers that have lower rate variation, and we show that phylogenetic markers extracted from complete nuclear genomes can be a useful complement to the more commonly used plastid markers. However, estimates of divergence times remain strongly affected by different implementations of fossil calibration points. Analyses calibrated with only macrofossils lead to estimates for the age of core Poaceae ∼51-55 Ma, but the inclusion of microfossil evidence pushes this age to 74-82 Ma and leads to lower estimated evolutionary rates in grasses. These results emphasize the importance of considering markers from multiple genomes and alternative fossil placements when addressing evolutionary issues that depend on ages estimated for important groups.