Application of electronic nose technology for the detection of fungal contamination in library paper

Studies were carried out in vitro on a cellulose based agar at two water activities (a_w,0.975,0.995) and on three types of paper at two relative humidities (75, 100% RH) for the potential for differentiation of contamination and colonisation by Aspergillus terreus, A. holandicus and Eurotium chevalieri. In vitro studies showed that conducting polymer sensor array gave different responses to each of these species when grown on cellulose agar at both a_w levels. Discriminant function analyses of the data showed differentiation of the controls from the spoilage fungi. Cluster analysis gave a significant (P=0.05) separation of the control and each spoilage fungus. In situ studies on three types of paper showed that using natural substrates the volatile patterns produced by each of these fungi was different from each other and from the control. The results obtained were better at the higher humidity. The three paper types could be successfully differentiated into clusters. For a single paper type, differentiation of controls from spoilage fungal treatments was better at the higher humidity. This study has shown that this technology has potential for the early detection of fungal contamination in library materials and archives for the improved protection of cultural heritage.     

BATS: a Bayesian user-friendly software for Analyzing Time Series microarray experiments

Background  

Gene expression levels in a given cell can be influenced by different factors, namely pharmacological or medical treatments. The response to a given stimulus is usually different for different genes and may depend on time. One of the goals of modern molecular biology is the high-throughput identification of genes associated with a particular treatment or a biological process of interest. From methodological and computational point of view, analyzing high-dimensional time course microarray data requires very specific set of tools which are usually not included in standard software packages. Recently, the authors of this paper developed a fully Bayesian approach which allows one to identify differentially expressed genes in a 'one-sample' time-course microarray experiment, to rank them and to estimate their expression profiles. The method is based on explicit expressions for calculations and, hence, very computationally efficient.     

Does polyamine catabolism influence root development and xylem differentiation under stress conditions?

Amine oxidases (AOs) oxidize polyamines (PAs) to aldehydes, simultaneously producing the removed amine moiety and hydrogen peroxide (H₂O₂). AOs, which include copper-containing amine oxidases (CuAOs) and flavin-containing amine oxidases (PAOs), are stress-inducible enzymes involved in both PA homeostasis and H₂O₂ production. Here, we suggest that H₂O₂ derived from PAO-mediated PA catabolism has a role in inducing root xylem differentiation during plant stress responses, whereas its involvement in this event during plant development under physiological conditions is not suitably supported by the currently available data. Moreover, we show that spermidine (Spd) supply leads to a higher induction of cell death in wild-type (WT) tobacco (Nicotiana tabacum) plants as compared to tobacco plants over-expressing maize (Zea mays) PAO (S-ZmPAO) in the cell wall, in apparent contradiction with the already reported results obtained by the analysis of the corresponding WT and S-ZmPAO Spd-untreated plants. Considering this last observation, we propose that PAs  diversely affect plant development and stress responses depending on the expression levels of AOs, which in turn may lead to different plant responses by altering the PAs/H₂O₂ balance.     

Ring chromosome 21. Observation in a female infant

A case of a female infant with karyotype 46,XX,r(21)/45,XX,-21 is reported. From comparison of the phenotypic anomalies with the other similar cases the large variability of the 21q- syndrome is evident.     

A global analysis of avian island diversity–area relationships in the Anthropocene

Research on island species–area relationships (ISAR) has expanded to incorporate functional (IFDAR) and phylogenetic (IPDAR) diversity. However, relative to the ISAR, we know little about IFDARs and IPDARs, and lack synthetic global analyses of variation in form of these three categories of island diversity–area relationship (IDAR). Here, we undertake the first comparative evaluation of IDARs at the global scale using 51 avian archipelagic data sets representing true and habitat islands. Using null models, we explore how richness-corrected functional and phylogenetic diversity scale with island area. We also provide the largest global assessment of the impacts of species introductions and extinctions on the IDAR. Results show that increasing richness with area is the primary driver of the (non-richness corrected) IPDAR and IFDAR for many data sets. However, for several archipelagos, richness-corrected functional and phylogenetic diversity changes linearly with island area, suggesting that the dominant community assembly processes shift along the island area gradient. We also find that archipelagos with the steepest ISARs exhibit the biggest differences in slope between IDARs, indicating increased functional and phylogenetic redundancy on larger islands in these archipelagos. In several cases introduced species seem to have ‘re-calibrated’ the IDARs such that they resemble the historic period prior to recent extinctions.