Management and analysis of high-throughput sequence data for infectious animal diseases.

Advances in technology and decreasing costs have accelerated the use of high-throughput sequencing (HTS) for both diagnosis and characterisation of infectious animal diseases. High-throughput sequencing offers several advantages over previous techniques, including rapid turnaround times and the ability to resolve single nucleotide changes among samples, both of which are important for epidemiological investigations of outbreaks. However, due to the plethora of genetic data being routinely generated, the storage and analysis of these data are proving challenging in their own right. In this article, the authors provide insight into the aspects of data management and analysis that should be considered before adopting HTS for routine animal health diagnostics. These elements fall largely into three interrelated categories: data storage, data analysis and quality assurance. Each has numerous complexities and may need to be adapted as HTS evolves. Making appropriate strategic decisions about bioinformatic sequence analysis early on in project development will help to avert major issues in the long term.

Les avancées technologiques dans le domaine du séquençage à haut débit (SHD) et la diminution des coûts liés à cette technique en ont accéléré l'utilisation à des fins de diagnostic et de caractérisation des maladies animales infectieuses. Le séquençage à haut débit offre plusieurs avantages par rapport aux techniques antérieures, en particulier la rapidité de son exécution et une résolution de l'ordre d'un seul changement de nucléotide parmi plusieurs échantillons, ce qui présente un grand intérêt lors des enquêtes épidémiologiques sur les foyers. Néanmoins, la pléthore de données génétiques générées en routine par le SHD devient un véritable problème en termes de stockage et d'analyse de ces données. Les auteurs apportent un éclairage sur les aspects de la gestion et de l'analyse des données qu'il convient de prendre en compte avant d'adopter le SHD pour le diagnostic de routine en santé animale. Ces éléments relèvent de trois catégories étroitement reliées : le stockage de données, l'analyse de données et l'assurance qualité. Chacun de ces aspects présente de nombreuses complexités et nécessitera sans doute d'être adapté à mesure que le SHD évolue. Lorsqu'elles sont prises dès la phase initiale d'un projet, des décisions stratégiques appropriées en matière d'analyse bio-informatique de séquences peuvent contribuer à éviter des problèmes majeurs sur le long terme.

Los avances tecnológicos y la reducción de los costos han acelerado el uso de la secuenciación de alto rendimiento (SAR) con fines de diagnóstico y caracterización de enfermedades animales infecciosas. La secuenciación de alto rendimiento presenta varias ventajas en comparación con otras técnicas anteriores, en particular ciclos más rápidos y una resolución que permite detectar diferencias de un solo nucleótido entre las muestras, aspectos ambos de gran importancia para el estudio epidemiológico de brotes infecciosos. Sin embargo, debido al sinnúmero de datos genéticos que constantemente se generan, no es de extrañar que esté resultando problemático almacenar y analizar los datos obtenidos. Los autores arrojan luz sobre los aspectos de la gestión y el análisis de datos que conviene tener en cuenta antes de aplicar la SAR a las labores sistemáticas de diagnóstico en sanidad animal. Estos elementos corresponden a grandes líneas a tres categorías relacionadas entre sí: el almacenamiento de datos; el análisis de datos; y la garantía de calidad. Cada una de ellas presenta multitud de complicaciones y exige un proceso permanente de adaptación a medida que la técnica de secuenciación va evolucionando. El hecho de adoptar las buenas decisiones estratégicas sobre el análisis bioinformático de secuencias en los primeros momentos de la concepción de un proyecto ayudará a evitar importantes problemas a largo plazo.

Contrasting patterns of population structure and gene flow facilitate exploration of connectivity in two widely distributed temperate octocorals.

Connectivity is an important component of metapopulation dynamics in marine systems and can influence population persistence, migration rates and conservation decisions associated with Marine Protected Areas (MPAs). In this study, we compared the genetic diversity, gene flow and population structure of two octocoral species, Eunicella verrucosa and Alcyonium digitatum, in the northeast Atlantic (ranging from the northwest of Ireland and the southern North Sea, to southern Portugal), using two panels of 13 and 8 microsatellite loci, respectively. Our results identified regional genetic structure in E. verrucosa partitioned between populations from southern Portugal, northwest Ireland and Britain/France; subsequent hierarchical analysis of population structure also indicated reduced gene flow between southwest Britain and northwest France. However, over a similar geographical area, A. digitatum showed little evidence of population structure, suggesting high gene flow and/or a large effective population size; indeed, the only significant genetic differentiation detected in A. digitatum occurred between North Sea samples and those from the English Channel/northeast Atlantic. In both species the vast majority of gene flow originated from sample sites within regions, with populations in southwest Britain being the predominant source of contemporary exogenous genetic variants for the populations studied. Overall, historical patterns of gene flow appeared more complex, though again southwest Britain appeared to be an important source of genetic variation for both species. Our findings have major conservation implications, particularly for E. verrucosa, a protected species in UK waters and listed by the IUCN as 'Vulnerable', and for the designation and management of European MPAs.

Fulminant meningococcemia in pediatric patients: nursing considerations.

The mortality rate of children with fulminant meningococcemia is high, and early recognition and intervention by the health care team is crucial for patient survival. Critical care nurses who have knowledge in the cause and treatment of this catastrophic disease and current trends in therapy will be able to provide essential care to these patients.

Interactions of BCNU, low pH, glucose and hyperthermia in cultured RIF cells.

The interactions of BCNU (1,3-bis[2-chloroethyl]-1-nitrosourea) with low pH, glucose and hyperthermia were studied in cultured RIF tumor cells. The effect of a mild heat treatment of 43 degrees C, 1 h at pH 7.4 on cell killing [surviving fraction (S) = 0.27 +/- 0.05, standard error of the mean (S.E.)] was significantly enhanced by pH 6.5 (S = 0.11 +/- 0.02, S.E.) and 50 mM D-glucose (S = 0.14 +/- 0.01, S.E.). When heat (43 degrees C, 1 h) was added to BCNU, cytotoxicity was increased approximately 14-fold over BCNU alone. Moreover, pH 6.5 increased killing with BCNU and heat by an additional factor of 28. The presence of glucose at 37 degrees C at either pH 6.5 or 7.4 reduced BCNU toxicity in a dose dependent fashion. However, the presence of glucose did not reduce cell killing by BCNU at 43 degrees C. As a result BCNU cytotoxicity was enhanced by approximately 2 orders of magnitude when tumor cell acidification (glucose and low pH) was combined with BCNU and heat.