Broken colinearity of the amphioxus Hox cluster.

Background In most eumetazoans studied so far, Hox genes determine the identity of structures along the main body axis. They are usually linked in genomic clusters and, in the case of the vertebrate embryo, are expressed with spatial and temporal colinearity. Outside vertebrates, temporal colinearity has been reported in the cephalochordate amphioxus (the least derived living relative of the chordate ancestor) but only for anterior and central genes, namely Hox1 to Hox4 and Hox6. However, most of the Hox gene expression patterns in amphioxus have not been reported. To gain global insights into the evolution of Hox clusters in chordates, we investigated a more extended expression profile of amphioxus Hox genes. Results Here we report an extended expression profile of the European amphioxus Branchiostoma lanceolatum Hox genes and describe that all Hox genes, except Hox13, are expressed during development. Interestingly, we report the breaking of both spatial and temporal colinearity for at least Hox6 and Hox14, which thus have escaped from the classical Hox code concept. We show a previously unidentified Hox6 expression pattern and a faint expression for posterior Hox genes in structures such as the posterior mesoderm, notochord, and hindgut. Unexpectedly, we found that amphioxus Hox14 had the most divergent expression pattern. This gene is expressed in the anterior cerebral vesicle and pharyngeal endoderm. Amphioxus Hox14 expression represents the first report of Hox gene expression in the most anterior part of the central nervous system. Nevertheless, despite these divergent expression patterns, amphioxus Hox6 and Hox14 seem to be still regulated by retinoic acid. Conclusions Escape from colinearity by Hox genes is not unusual in either vertebrates or amphioxus and we suggest that those genes escaping from it are probably associated with the patterning of lineage-specific morphological traits, requiring the loss of those developmental constraints that kept them colinear.

The Plesiomonas shigelloides wbO1 gene cluster and the role of O1-antigen LPS in pathogenicity

The Plesiomonas shigelloides 302-73 strain (serotype O1) wb gene cluster encodes 15 proteins which are consistent with the chemical structure of the O1-antigen lypopolysaccharide (LPS) previously described for this strain. The P. shigelloides O1-antigen LPS export uses the Wzy-dependent pathway as correspond to heteropolysaccharides structures. By the isolation of two mutants lacking this O1-antigen LPS, we could establish that the presence of the O1-antigen LPS is crucial for to survive in serum mainly to become resistant to complement. Also, it is an important factor in the bacterial adhesion and invasion to some eukaryotic cells, and in the ability to form biofilms. This is the first report on the genetics from a P. shigelloides O-antigen LPS cluster (wb) not shared by Shigella like P. shigelloides O17, the only one reported until now.

Subtypes of adolescents with substance use disorders and psychiatric comorbidity using cluster and discriminant analysis of MMPI-A profiles

The main aim of this study was to replicate and extend previous results on subtypes of adolescents with substance use disorders (SUD), according to their Minnesota Multiphasic Personality Inventory for adolescents (MMPI-A) profiles. Sixty patients with SUD and psychiatric comorbidity (41.7% male, mean age = 15.9 years old) completed the MMPI-A, the Teen Addiction Severity Index (T-ASI), the Child Behaviour Checklist (CBCL), and were interviewed in order to determine DSMIV diagnoses and level of substance use. Mean MMPI-A personality profile showed moderate peaks in Psychopathic Deviate, Depression and Hysteria scales. Hierarchical cluster analysis revealed four profiles (acting-out, 35% of the sample; disorganized-conflictive, 15%; normative-impulsive, 15%; and deceptive-concealed, 35%). External correlates were found between cluster 1, CBCL externalizing symptoms at a clinical level and conduct disorders, and between cluster 2 and mixed CBCL internalized/externalized symptoms at a clinical level. Discriminant analysis showed that Depression, Psychopathic Deviate and Psychasthenia MMPI-A scales correctly classified 90% of the patients into the clusters obtained.

A Forwarding Cooperation Protocol for Plain and Cluster-based Ad Hoc Networks

Peer-reviewed

Emergence and development of a financial cluster: the evolution of Andorra’s banking deposits in the long-term, 1931-2007

This paper explores the origins of Andorra’s financial cluster. It shows that the free movement of currency, the protection of infant industry, and geographical concentration lie at the foundation of the cluster’s competitive advantage. Drawing on a new set of data, the paper also provides for the first time an estimate of the total deposits held by Andorra’s banks between 1931 and 2007. Based on this new information, the paper reaches the conclusion that the development of the cluster went through four distinct phases in which large companies, acting as leaders, played an important role in enhancing the cluster’s business capabilities.

Cómo aplicar un cluster jerárquico en SPSS

L'anàlisi de conglomerats o cluster és una tècnica multivariant que busca agrupar elements o variables tractant d'aconseguir la màxima homogeneïtat en cada grup i la major diferència entre ells, mitjançant una estructura jerarquitzada per poder decidir quin nivell jeràrquic és el més apropiat per establir la classificació. El programa SPSS disposa de tres tipus d'anàlisi de conglomerats: l'anàlisi de conglomerats jeràrquic, bietàpic i de K mitjanes. Aplicarem el mètode jeràrquic com el més idoni per determinar el nombre òptim de conglomerats existent en les dades i el contingut dels mateixos per al nostre cas pràctic.

A Fair and Secure Cluster Formation Process for Ad Hoc Networks

An efficient approach for organizing large ad hoc networks is to divide the nodesinto multiple clusters and designate, for each cluster, a clusterhead which is responsible forholding intercluster control information. The role of a clusterhead entails rights and duties.On the one hand, it has a dominant position in front of the others because it manages theconnectivity and has access to other node¿s sensitive information. But on the other hand, theclusterhead role also has some associated costs. Hence, in order to prevent malicious nodesfrom taking control of the group in a fraudulent way and avoid selfish attacks from suitablenodes, the clusterhead needs to be elected in a secure way. In this paper we present a novelsolution that guarantees the clusterhead is elected in a cheat-proof manner.