Comparative performance of supertree algorithms in large data sets using the soapberry family (Sapindaceae) as a case study.

For the last 2 decades, supertree reconstruction has been an active field of research and has seen the development of a large number of major algorithms. Because of the growing popularity of the supertree methods, it has become necessary to evaluate the performance of these algorithms to determine which are the best options (especially with regard to the supermatrix approach that is widely used). In this study, seven of the most commonly used supertree methods are investigated by using a large empirical data set (in terms of number of taxa and molecular markers) from the worldwide flowering plant family Sapindaceae. Supertree methods were evaluated using several criteria: similarity of the supertrees with the input trees, similarity between the supertrees and the total evidence tree, level of resolution of the supertree and computational time required by the algorithm. Additional analyses were also conducted on a reduced data set to test if the performance levels were affected by the heuristic searches rather than the algorithms themselves. Based on our results, two main groups of supertree methods were identified: on one hand, the matrix representation with parsimony (MRP), MinFlip, and MinCut methods performed well according to our criteria, whereas the average consensus, split fit, and most similar supertree methods showed a poorer performance or at least did not behave the same way as the total evidence tree. Results for the super distance matrix, that is, the most recent approach tested here, were promising with at least one derived method performing as well as MRP, MinFlip, and MinCut. The output of each method was only slightly improved when applied to the reduced data set, suggesting a correct behavior of the heuristic searches and a relatively low sensitivity of the algorithms to data set sizes and missing data. Results also showed that the MRP analyses could reach a high level of quality even when using a simple heuristic search strategy, with the exception of MRP with Purvis coding scheme and reversible parsimony. The future of supertrees lies in the implementation of a standardized heuristic search for all methods and the increase in computing power to handle large data sets. The latter would prove to be particularly useful for promising approaches such as the maximum quartet fit method that yet requires substantial computing power.

Prevalence of Neural Tube Defects (NTD) in Younger Mothers in Europe 2000-2008: Analysis of the EUROCAT Database - Report to Bayer Schiering Pharma

M.C. Addor is included in the Eurocat Working Group

Two high throughput technologies to detect segmental aneuploidies identify new Williams-Beuren syndrome patients with atypical deletions.

OBJECTIVE: To develop and compare two new technologies for diagnosing a contiguous gene syndrome, the Williams-Beuren syndrome (WBS). METHODS: The first proposed method, named paralogous sequence quantification (PSQ), is based on the use of paralogous sequences located on different chromosomes and quantification of specific mismatches present at these loci using pyrosequencing technology. The second exploits quantitative real time polymerase chain reaction (QPCR) to assess the relative quantity of an analysed locus. RESULTS: A correct and unambiguous diagnosis was obtained for 100% of the analysed samples with either technique (n = 165 and n = 155, respectively). These methods allowed the identification of two patients with atypical deletions in a cohort of 182 WBS patients. Both patients presented with mild facial anomalies, mild mental retardation with impaired visuospatial cognition, supravalvar aortic stenosis, and normal growth indices. These observations are consistent with the involvement of GTF2IRD1 or GTF2I in some of the WBS facial features. CONCLUSIONS: Both PSQ and QPCR are robust, easy to interpret, and simple to set up. They represent a competitive alternative for the diagnosis of segmental aneuploidies in clinical laboratories. They have advantages over fluorescence in situ hybridisation or microsatellites/SNP genotyping for detecting short segmental aneuploidies as the former is costly and labour intensive while the latter depends on the informativeness of the polymorphisms.

Epigenetic regulation of histone H3 serine 10 phosphorylation status by HCF-1 proteins in C. elegans and mammalian cells.

BACKGROUND: The human herpes simplex virus (HSV) host cell factor HCF-1 is a transcriptional coregulator that associates with both histone methyl- and acetyltransferases, and a histone deacetylase and regulates cell proliferation and division. In HSV-infected cells, HCF-1 associates with the viral protein VP16 to promote formation of a multiprotein-DNA transcriptional activator complex. The ability of HCF proteins to stabilize this VP16-induced complex has been conserved in diverse animal species including Drosophila melanogaster and Caenorhabditis elegans suggesting that VP16 targets a conserved cellular function of HCF-1. METHODOLOGY/PRINCIPAL FINDINGS: To investigate the role of HCF proteins in animal development, we have characterized the effects of loss of the HCF-1 homolog in C. elegans, called Ce HCF-1. Two large hcf-1 deletion mutants (pk924 and ok559) are viable but display reduced fertility. Loss of Ce HCF-1 protein at reduced temperatures (e.g., 12 degrees C), however, leads to a high incidence of embryonic lethality and early embryonic mitotic and cytokinetic defects reminiscent of mammalian cell-division defects upon loss of HCF-1 function. Even when viable, however, at normal temperature, mutant embryos display reduced levels of phospho-histone H3 serine 10 (H3S10P), a modification implicated in both transcriptional and mitotic regulation. Mammalian cells with defective HCF-1 also display defects in mitotic H3S10P status. CONCLUSIONS/SIGNIFICANCE: These results suggest that HCF-1 proteins possess conserved roles in the regulation of cell division and mitotic histone phosphorylation.

BCOR analysis in patients with OFCD and Lenz microphthalmia syndromes, mental retardation with ocular anomalies, and cardiac laterality defects.

Oculofaciocardiodental (OFCD) and Lenz microphthalmia syndromes form part of a spectrum of X-linked microphthalmia disorders characterized by ocular, dental, cardiac and skeletal anomalies and mental retardation. The two syndromes are allelic, caused by mutations in the BCL-6 corepressor gene (BCOR). To extend the series of phenotypes associated with pathogenic mutations in BCOR, we sequenced the BCOR gene in patients with (1) OFCD syndrome, (2) putative X-linked ('Lenz') microphthalmia syndrome, (3) isolated ocular defects and (4) laterality phenotypes. We present a new cohort of females with OFCD syndrome and null mutations in BCOR, supporting the hypothesis that BCOR is the sole molecular cause of this syndrome. We identify for the first time mosaic BCOR mutations in two females with OFCD syndrome and one apparently asymptomatic female. We present a female diagnosed with isolated ocular defects and identify minor features of OFCD syndrome, suggesting that OFCD syndrome may be mild and underdiagnosed. We have sequenced a cohort of males diagnosed with putative X-linked microphthalmia and found a mutation, p.P85L, in a single case, suggesting that BCOR mutations are not a major cause of X-linked microphthalmia in males. The absence of BCOR mutations in a panel of patients with non-specific laterality defects suggests that mutations in BCOR are not a major cause of isolated heart and laterality defects. Phenotypic analysis of OFCD and Lenz microphthalmia syndromes shows that in addition to the standard diagnostic criteria of congenital cataract, microphthalmia and radiculomegaly, patients should be examined for skeletal defects, particularly radioulnar synostosis, and cardiac/laterality defects.

Identification and validation of copy number variants using SNP genotyping arrays from a large clinical cohort.

BACKGROUND: Genotypes obtained with commercial SNP arrays have been extensively used in many large case-control or population-based cohorts for SNP-based genome-wide association studies for a multitude of traits. Yet, these genotypes capture only a small fraction of the variance of the studied traits. Genomic structural variants (GSV) such as Copy Number Variation (CNV) may account for part of the missing heritability, but their comprehensive detection requires either next-generation arrays or sequencing. Sophisticated algorithms that infer CNVs by combining the intensities from SNP-probes for the two alleles can already be used to extract a partial view of such GSV from existing data sets. RESULTS: Here we present several advances to facilitate the latter approach. First, we introduce a novel CNV detection method based on a Gaussian Mixture Model. Second, we propose a new algorithm, PCA merge, for combining copy-number profiles from many individuals into consensus regions. We applied both our new methods as well as existing ones to data from 5612 individuals from the CoLaus study who were genotyped on Affymetrix 500K arrays. We developed a number of procedures in order to evaluate the performance of the different methods. This includes comparison with previously published CNVs as well as using a replication sample of 239 individuals, genotyped with Illumina 550K arrays. We also established a new evaluation procedure that employs the fact that related individuals are expected to share their CNVs more frequently than randomly selected individuals. The ability to detect both rare and common CNVs provides a valuable resource that will facilitate association studies exploring potential phenotypic associations with CNVs. CONCLUSION: Our new methodologies for CNV detection and their evaluation will help in extracting additional information from the large amount of SNP-genotyping data on various cohorts and use this to explore structural variants and their impact on complex traits.

The role of the vacuolar H+ - ATPase in membrane fusion

RésuméLa H+-ATPase vacuolaire (V-ATPase) est un complexe enzymatique composé de deux secteurs multimériques (VQ et Vi) dont l'association dans la cellule est réversible. Le secteur intramembranaire de la V-ATPase (V0) interagit physiquement avec des protéines SNARE et stimule la fusion homotypique des vacuoles de la levure (lysosomes), la sécrétion de neurotransmetteurs et d'insuline, la fusion entre phagosome et lysosome ainsi que la sécrétion des corps multivésiculaires par un mécanisme inconnu. Dans cette étude j'ai identifié des résidues d'acides amines situés dans des sous-unités de V0 impliqués dans le mécanisme de fusion des vacuoles mais non essentiels pour l'acidification vacuolaire par la V-ATPase. j'ai utilisé un protocole de mutagenèse aléatoire pour produire des libraries de mutants des sous unités de V0. Ces libraries ont été analysées in vivo afin d'identifier des alleles qui permettent la translocation des protons mais produisent une vacuole fragmentée, phénotype indiquant un défaut dans la fusion membranaire. Les vacuoles des mutants ont été isolées et caractéisées en utilisant une grande variété d'outils biochimiques pour déterminer précisément l'impact des différentes mutations sur l'accomplissement d'événements clés du processus de fusion.J'ai identifié des mutations associées à des défauts spécifiques de la fusion dans plusieurs sous-unités de V0. Dans les protéolipides c, c' et c" ces mutations se concentrent dans la partie cytosolique des domaines transmembranaires. Elles renforcent les associations entre les secteurs de la V-ATPase et entre V0 et les SNAREs. Dans la fusion vacuolaire ces mutations permettent la formation de complexes SNAREs en trans mais inhibent l'induction de la fusion. Par contre, la deletion de la sous- unité d influence les étapes de la fusion qui précèdent la formation des complexes trans-SNAREs. Mes résultats démontrent que V0 joue des rôles différents dans plusieurs étapes de la fusion et que ces fonctions sont liées au système des SNAREs. Ils différencient génétiquement les activités de V0 dans la translocation des protons et dans la fusion et identifient de nombreux résidus importants pour la fusion vacuolaire. De plus, compte tenu de la grande conservation de sequence des protéolipides chez les eukaryotes les mutations identifiées dans cette l'étude apportent de nouvelles informations pour analyser la fonction de V0 dans des organismes multicellulaires pour lesquels la function catalytique de la V-ATPase est essentielle à la survie.Résumé pour le large publicLe transport de protéines et de membranes est important pour maintenir la fonction des organelles dans la cellule. Il s'excerce au niveau des vesicules. La fusion membranaire est un processus élémentaire de ce transport. Pour fusionner deux membranes, il faut la coordination de deux activités: le rapprochement et la déstabiiization des deux membranes. La collaboration d'un ensemble de proteins conservés chez les eukaryotes, est nécessaire pour catalyser ces activités. Les proteins SNAREs sont les protagonistes principaux dans la fusion membranaire. Néanmoins, d'autres protéines, comme des Rab-GTPases et des chaperonnes, sont nécessaires pour permettre ce phénomène de fusion. Toutes ces protéines sont temporairement associées avec les SNAREs et leur fonction dans la fusion membranaire est souvent directement liée à leur activité dans cette association. Le secteur transmembranaire V0 de la V-ATPase rnteragit avec des SNAREs et est essentiel pour la fusion dans une variété de systèmes modèles comme la mouche, la souris et la levure. Le secteur V0 est composé de six protéines différentes. Avec te secteur Va, qui réside dans le cytosol, il forme la V-ATPase dont la fonction principale est l'acidification des organelles par translocation des protons à travers la membrane par un mécanisme ressemblant à celui d'une pompe. V0joue un role dans la fusion membranaire, indépendamment de son activité catalytique liée au pompage des protons, et ce rôle est encore largement méconnu à ce jour. Le but de ma thèse était de mieux comprendre l'implication de V0 dans ce contexte.Pour étudier des activités liées à la V-ATPase, la levure est un excellent modèle d'étude car elle survie à une inactivation de l'enzyme alors que le meme traitement serait léthal pour des organismes multicellulaires. Dans ma thèse j'ai utilisé la fusion homotypique de la vacuole de levure comme système modèle pour étudier le rôle de V0 dans la fusion. J'ai muté des gènes qui encodent des sous- unités de V0 et les ai introduit dans des souches privées des gènes respectifs. Dans les librairies de souches portant différentes versions de ces gènes j'ai cherché des clones exprimant une V-ATPase intacte et fonctionnelle mais qui possèdent une vacuole fragmentée. Le plus souvent, une vacuole fragmentée indique un défaut dans la fusion vacuolaire. Dans les trois types de protéolipides qui composent un cylindre dans le secteur V0, j'ai trouvé des clones avec une vacuole fragmentée. Après avoir isolé les mutations responsable de ce type de morphologie vacuolaire, j'ai isolé les vacuoles de ces clones pour étudier leur activités dans différentes étapes de la fusion vacuolaire. Les résultats de ces analyses mettent en évidence une implication de V0 dans plusieurs étapes de la fusion vacuolaire. Certaines mutations sélectionnées dans mon étude inhibent une étape précoce de la fusion qui inclue la dissociation des complexes SNARE, tandis que d'autres mutations inhibent une étape tardive du processus de fusion qui inclue la transmission d'une force disruptive dans la membrane.AbstractThe membrane-integral V0 sector of the vacuolar H+-ATPase (V-ATPase) interacts with SNARE proteins. V0 stimulates fusion between yeast vacuoles (lysosomes) (Peters et al., 2001b), secretion of neurotransmitters and insulin (Hiesinger et al., 2005a, Sun-Wada et al., 2006a), phagosome-lysosome fusion (Peri and Nusslein-Volhard, 2008) and secretion of multivesicular bodies (Liegeois et al., 2006b) by a yet unknown mechanism. In my thesis, I identified sites in V0 subunits that are involved in yeast vacuole fusion but dispensable for the proton pumping by the V-ATPase. I randomly mutagenized V0 subunits and screened in vivo for mutant alleles that support proton pumping but cause fragmented vacuoles, a phenotype indicative of a fusion defect. Mutant vacuoles were isolated and analyzed in a cell-free system, allowing assay of key events in fusion, such as trans-SNARE pairing, lipid transition and fusion pore opening (Reese et al., 2005b).Mutants with selective fusion defects were found in several V0 subunits. In the proteolipids c, c' and c", critical mutations are concentated in the cytosolic half of the transmembrane domains. These mutations rendered the V-ATPase holoenzyme more stable and modulated V0-SNARE associations. In vacuole fusion critical proteolipid mutations permitted trans-SNARE pairing but impeded the induction of lipid flow between the membranes. Deletion of subunit d, by contrast, influenced early stages of fusion that precede trans-SNARE pairing. My results show that V0 acts in several steps of the fusion process and that its function is intimately connected to the SNARE system. They genetically separate the proton pump and fusion activities of V0 and identify numerous critical residues. Given the high sequence conservation of proteolipids in eukaryotic life, the identified mutations may be helpful in analyzing the fusion function of V0 also in mammalian cells, where V- ATPase pump function is essential for survival.

Mynodbcsv: Lightweight Zero-Config Database Solution for Handling Very Large CSV Files.

Volumes of data used in science and industry are growing rapidly. When researchers face the challenge of analyzing them, their format is often the first obstacle. Lack of standardized ways of exploring different data layouts requires an effort each time to solve the problem from scratch. Possibility to access data in a rich, uniform manner, e.g. using Structured Query Language (SQL) would offer expressiveness and user-friendliness. Comma-separated values (CSV) are one of the most common data storage formats. Despite its simplicity, with growing file size handling it becomes non-trivial. Importing CSVs into existing databases is time-consuming and troublesome, or even impossible if its horizontal dimension reaches thousands of columns. Most databases are optimized for handling large number of rows rather than columns, therefore, performance for datasets with non-typical layouts is often unacceptable. Other challenges include schema creation, updates and repeated data imports. To address the above-mentioned problems, I present a system for accessing very large CSV-based datasets by means of SQL. It's characterized by: "no copy" approach - data stay mostly in the CSV files; "zero configuration" - no need to specify database schema; written in C++, with boost [1], SQLite [2] and Qt [3], doesn't require installation and has very small size; query rewriting, dynamic creation of indices for appropriate columns and static data retrieval directly from CSV files ensure efficient plan execution; effortless support for millions of columns; due to per-value typing, using mixed text/numbers data is easy; very simple network protocol provides efficient interface for MATLAB and reduces implementation time for other languages. The software is available as freeware along with educational videos on its website [4]. It doesn't need any prerequisites to run, as all of the libraries are included in the distribution package. I test it against existing database solutions using a battery of benchmarks and discuss the results.