Are Greenhouse Gas Signals of Northern Hemisphere winter extra-tropical cyclone activity dependent on the identification and tracking algorithm?

For Northern Hemisphere extra-tropical cyclone activity, the dependency of a potential anthropogenic climate change signal on the identification method applied is analysed. This study investigates the impact of the used algorithm on the changing signal, not the robustness of the climate change signal itself. Using one single transient AOGCM simulation as standard input for eleven state-of-the-art identification methods, the patterns of model simulated present day climatologies are found to be close to those computed from re-analysis, independent of the method applied. Although differences in the total number of cyclones identified exist, the climate change signals (IPCC SRES A1B) in the model run considered are largely similar between methods for all cyclones. Taking into account all tracks, decreasing numbers are found in the Mediterranean, the Arctic in the Barents and Greenland Seas, the mid-latitude Pacific and North America. Changing patterns are even more similar, if only the most severe systems are considered: the methods reveal a coherent statistically significant increase in frequency over the eastern North Atlantic and North Pacific. We found that the differences between the methods considered are largely due to the different role of weaker systems in the specific methods.

Identification and phenotypic characterization of a second collagen adhesin, Scm, and genome-based identification and analysis of 13 other predicted MSCRAMMs, including four distinct pilus loci, in Enterococcus faecium.

Attention has recently been drawn to Enterococcus faecium because of an increasing number of nosocomial infections caused by this species and its resistance to multiple antibacterial agents. However, relatively little is known about the pathogenic determinants of this organism. We have previously identified a cell-wall-anchored collagen adhesin, Acm, produced by some isolates of E. faecium, and a secreted antigen, SagA, exhibiting broad-spectrum binding to extracellular matrix proteins. Here, we analysed the draft genome of strain TX0016 for potential microbial surface components recognizing adhesive matrix molecules (MSCRAMMs). Genome-based bioinformatics identified 22 predicted cell-wall-anchored E. faecium surface proteins (Fms), of which 15 (including Acm) had characteristics typical of MSCRAMMs, including predicted folding into a modular architecture with multiple immunoglobulin-like domains. Functional characterization of one [Fms10; redesignated second collagen adhesin of E. faecium (Scm)] revealed that recombinant Scm(65) (A- and B-domains) and Scm(36) (A-domain) bound to collagen type V efficiently in a concentration-dependent manner, bound considerably less to collagen type I and fibrinogen, and differed from Acm in their binding specificities to collagen types IV and V. Results from far-UV circular dichroism measurements of recombinant Scm(36) and of Acm(37) indicated that these proteins were rich in beta-sheets, supporting our folding predictions. Whole-cell ELISA and FACS analyses unambiguously demonstrated surface expression of Scm in most E. faecium isolates. Strikingly, 11 of the 15 predicted MSCRAMMs clustered in four loci, each with a class C sortase gene; nine of these showed similarity to Enterococcus faecalis Ebp pilus subunits and also contained motifs essential for pilus assembly. Antibodies against one of the predicted major pilus proteins, Fms9 (redesignated EbpC(fm)), detected a 'ladder' pattern of high-molecular-mass protein bands in a Western blot analysis of cell surface extracts from E. faecium, suggesting that EbpC(fm) is polymerized into a pilus structure. Further analysis of the transcripts of the corresponding gene cluster indicated that fms1 (ebpA(fm)), fms5 (ebpB(fm)) and ebpC(fm) are co-transcribed, a result consistent with those for pilus-encoding gene clusters of other Gram-positive bacteria. All 15 genes occurred frequently in 30 clinically derived diverse E. faecium isolates tested. The common occurrence of MSCRAMM- and pilus-encoding genes and the presence of a second collagen-binding protein may have important implications for our understanding of this emerging pathogen.

Identification and characterization of the herpes simplex virus type 2 gene encoding the essential capsid protein ICP32/VP19c.

We describe the characterization of the herpes simplex virus type 2 (HSV-2) gene encoding infected cell protein 32 (ICP32) and virion protein 19c (VP19c). We also demonstrate that the HSV-1 UL38/ORF.553 open reading frame (ORF), which has been shown to specify a viral protein essential for capsid formation (B. Pertuiset, M. Boccara, J. Cebrian, N. Berthelot, S. Chousterman, F. Puvian-Dutilleul, J. Sisman, and P. Sheldrick, J. Virol. 63: 2169-2179, 1989), must encode the cognate HSV type 1 (HSV-1) ICP32/VP19c protein. The region of the HSV-2 genome deduced to contain the gene specifying ICP32/VP19c was isolated and subcloned, and the nucleotide sequence of 2,158 base pairs of HSV-2 DNA mapping immediately upstream of the gene encoding the large subunit of the viral ribonucleotide reductase was determined. This region of the HSV-2 genome contains a large ORF capable of encoding two related 50,538- and 49,472-molecular-weight polypeptides. Direct evidence that this ORF encodes HSV-2 ICP32/VP19c was provided by immunoblotting experiments that utilized antisera directed against synthetic oligopeptides corresponding to internal portions of the predicted polypeptides encoded by the HSV-2 ORF or antisera directed against a TrpE/HSV-2 ORF fusion protein. The type-common immunoreactivity of the two antisera and comparison of the primary amino acid sequences of the predicted products of the HSV-2 ORF and the equivalent genomic region of HSV-1 provided evidence that the HSV-1 UL38 ORF encodes the HSV-1 ICP32/VP19c. Analysis of the expression of the HSV-1 and HSV-2 ICP32/VP19c cognate proteins indicated that there may be differences in their modes of synthesis. Comparison of the predicted structure of the HSV-2 ICP32/VP19c protein with the structures of related proteins encoded by other herpes viruses suggested that the internal capsid architecture of the herpes family of viruses varies substantially.

Sex identification and PIT-tagging: tools and prospects for studying intersexual differences in freshwater fishes

This study evaluated a technique to allow the long-term monitoring of individual fishes of known sex in the wild using sex confirmation in close proximity to the reproductive period combined with individual tagging. Hundreds of partially migratory roach Rutilus rutilus were tagged with passive integrated transponders (PIT) following sex determination in spring and various performance measures were compared with fish tagged outside the reproductive period in autumn. Short-term survival was > 95% for R. rutilus sexed and tagged under natural field conditions. Total length (LT) did not affect the probability of survival within the size range tagged (119–280mm), nor were there differences in timing of migration the following season between individuals sexed and tagged in spring and individuals tagged in autumn (i.e. outside the reproductive period). Also, a similar per cent of R. rutilus sexed and tagged in spring and tagged in autumn migrated the following season (34·5 and 34·7%). Moreover, long-term recapture data revealed no significant differences in body condition between R. rutilus individuals sexed and tagged in spring, individuals tagged in autumn and unmanipulated individuals. The observed sex ratio of recaptured fish did not differ from the expected values of equal recapture rates between males and females. Hence, there is no observable evidence for an adverse effect of tagging close to the reproductive period and therefore this method is suitable for studying intersexual differences and other phenotypic traits temporarily expressed during reproduction at the individual level in fishes.

Computational identification and functional validation of regulatory motifs in cartilage-expressed genes.

Chondrocyte gene regulation is important for the generation and maintenance of cartilage tissues. Several regulatory factors have been identified that play a role in chondrogenesis, including the positive transacting factors of the SOX family such as SOX9, SOX5, and SOX6, as well as negative transacting factors such as C/EBP and delta EF1. However, a complete understanding of the intricate regulatory network that governs the tissue-specific expression of cartilage genes is not yet available. We have taken a computational approach to identify cis-regulatory, transcription factor (TF) binding motifs in a set of cartilage characteristic genes to better define the transcriptional regulatory networks that regulate chondrogenesis. Our computational methods have identified several TFs, whose binding profiles are available in the TRANSFAC database, as important to chondrogenesis. In addition, a cartilage-specific SOX-binding profile was constructed and used to identify both known, and novel, functional paired SOX-binding motifs in chondrocyte genes. Using DNA pattern-recognition algorithms, we have also identified cis-regulatory elements for unknown TFs. We have validated our computational predictions through mutational analyses in cell transfection experiments. One novel regulatory motif, N1, found at high frequency in the COL2A1 promoter, was found to bind to chondrocyte nuclear proteins. Mutational analyses suggest that this motif binds a repressive factor that regulates basal levels of the COL2A1 promoter.

Identification and quantification of phytochelatins in roots of rice to long-term exposure: evidence of individual role on arsenic accumulation and translocation

Rice has the predilection to take up arsenic in the form of methylated arsenic (o-As) and inorganic arsenic species (i-As). Plants defend themselves using i-As efflux systems and the production of phytochelatins (PCs) to complex i-As. Our study focused on the identification and quantification of phytochelatins by HPLC-ICP-MS/ESI-MS, relating them to the several variables linked to As exposure. GSH, 11 PCs, and As–PC complexes from the roots of six rice cultivars (Italica Carolina, Dom Sofid, 9524, Kitrana 508, YRL-1, and Lemont) exposed to low and high levels of i-As were compared with total, i-As, and o-As in roots, shoots, and grains. Only Dom Sofid, Kitrana 508, and 9524 were found to produce higher levels of PCs even when exposed to low levels of As. PCs were only correlated to i-As in the roots (r=0.884, P <0.001). However, significant negative correlations to As transfer factors (TF) roots–grains (r= –0.739, P <0.05) and shoots–grains (r= –0.541, P <0.05), suggested that these peptides help in trapping i-As but not o-As in the roots, reducing grains’ i-As. Italica Carolina reduced i-As in grains after high exposure, where some specific PCs had a special role in this reduction. In Lemont, exposure to elevated levels of i-As did not result in higher i-As levels in the grains and there were no significant increases in PCs or thiols. Finally, the high production of PCs in Kitrana 508 and Dom Sofid in response to high As treatment did not relate to a reduction of i-As in grains, suggesting that other mechanisms such as As–PC release and transport seems to be important in determining grain As in these cultivars.

Identification and characterization of IS1296 in Mycoplasma mycoides subsp. mycoides SC and presence in related mycoplasmas

IS1296, a new insertion sequence belonging to the IS3 family of insertion elements has been identified in Mycoplasma mycoides subsp. mycoides (Mmm) biotype small colony (SC), the agent of contagious bovine pleuropneumonia (CBPP). IS1296 is 1485-bp long and has 30-bp inverted repeats. It contains two open reading frames, ORFA and ORFB, which show significant similarities to the ORFs which encode the transposase function of IS elements of the IS3 family, in particular IS150 of Escherichia coli. IS1296 is present in 19 copies in Mmm SC-type strain PG1 and in 18 copies in a recently isolated field strain L2. It seems to transpose at low frequency in Mmm SC. IS1296 is also present in 5 copies in Mmm biotype large colony (LC)-type strain Y-goat, and in two copies in Mycoplasma sp. 'bovine group 7' reference strain PG50. It is, however, not present in other species of the 'mycoides cluster' or other closely related Mycoplasma sp. of ruminants.

NA61/SHINE facility at the CERN SPS: beams and detector system

NA61/SHINE (SPS Heavy Ion and Neutrino Experiment) is a multi-purpose experimental facility to study hadron production in hadron-proton, hadron-nucleus and nucleus-nucleus collisions at the CERN Super Proton Synchrotron. It recorded the first physics data with hadron beams in 2009 and with ion beams (secondary 7Be beams) in 2011. NA61/SHINE has greatly profited from the long development of the CERN proton and ion sources and the accelerator chain as well as the H2 beamline of the CERN North Area. The latter has recently been modified to also serve as a fragment separator as needed to produce the Be beams for NA61/SHINE. Numerous components of the NA61/SHINE set-up were inherited from its predecessors, in particular, the last one, the NA49 experiment. Important new detectors and upgrades of the legacy equipment were introduced by the NA61/SHINE Collaboration. This paper describes the state of the NA61/SHINE facility — the beams and the detector system — before the CERN Long Shutdown I, which started in March 2013.

Coupled human and natural system dynamics as key to the sustainability of Lake Victoria's ecosystem services

East Africa’s Lake Victoria provides resources and services to millions of people on the lake’s shores and abroad. In particular, the lake’s fisheries are an important source of protein, employment, and international economic connections for the whole region. Nonetheless, stock dynamics are poorly understood and currently unpredictable. Furthermore, fishery dynamics are intricately connected to other supporting services of the lake as well as to lakeshore societies and economies. Much research has been carried out piecemeal on different aspects of Lake Victoria’s system; e.g., societies, biodiversity, fisheries, and eutrophication. However, to disentangle drivers and dynamics of change in this complex system, we need to put these pieces together and analyze the system as a whole. We did so by first building a qualitative model of the lake’s social-ecological system. We then investigated the model system through a qualitative loop analysis, and finally examined effects of changes on the system state and structure. The model and its contextual analysis allowed us to investigate system-wide chain reactions resulting from disturbances. Importantly, we built a tool that can be used to analyze the cascading effects of management options and establish the requirements for their success. We found that high connectedness of the system at the exploitation level, through fisheries having multiple target stocks, can increase the stocks’ vulnerability to exploitation but reduce society’s vulnerability to variability in individual stocks. We describe how there are multiple pathways to any change in the system, which makes it difficult to identify the root cause of changes but also broadens the management toolkit. Also, we illustrate how nutrient enrichment is not a self-regulating process, and that explicit management is necessary to halt or reverse eutrophication. This model is simple and usable to assess system-wide effects of management policies, and can serve as a paving stone for future quantitative analyses of system dynamics at local scales.

Identification and estimation of thresholds in the fixed effects ordered logit model

This paper proposes a new estimator for the fixed effects ordered logit model. In contrast to existing methods, the new procedure allows estimating the thresholds. The empirical relevance and simplicity of implementation is illustrated in an application on the effect of unemployment on life satisfaction.

Identification and characterisation of ncRNAs in dormant bacteria

Recent years have led to increasing interest and appreciation of the possible importance of single cell heterogeneity in various biological processes. One of the examples of phenotypic heterogeneity in bacterial populations is antibiotic tolerant persister cells. Such an antibiotic tolerance phenotype is of considerable clinical relevance since dormant bacteria can re-establish infections rapidly after the antibiotic treatment has been terminated. Up to now mechanisms for establishing the persistence phenomenon in bacteria have remained largely enigmatic. Persisters are cells considered to be in a dormant state with down regulated gene expression. Only recently small regulatory RNAs (sRNAs) have been appreciated as important regulators of gene expression in response to environmental stimuli and several theoretical studies have suggested a possible involvement of sRNAs in the mechanisms of regulated heterogeneity in bacteria. We have experimentally addressed this potential link between sRNAs and persistence/dormancy in E. coli as an example of heterogeneity. Beside classical sRNAs we are focusing also on sRNAs directly associating with and possibly regulating the ribosome, the central enzyme of gene expression. The persister and dormant cell specific sRNA profile is studied by the comparative analysis of sRNA profile changes of the whole bacterial population after antibiotic killing. From RNA-Seq data ~ 25 000 potentially stable RNA fragments were identified and initial analysis predicted ~300 of them to be dormant/persister cell specific. After further evaluation the most prominent dormant/persister cell specific sRNAs are functionally characterized and their potential role in the persistence/dormancy will be evaluated by applying genetic, molecular and biochemical tools. The potential results of this project will provide a better understanding on the molecular mechanism of bacterial persistence/dormancy and on the role of ribosome-bound sRNA molecules in fine-tuning gene expression.

Identification and characterisation of ncRNAs in dormant bacteria

Recent years have led to increasing interest and appreciation of the possible importance of single cell heterogeneity in various biological processes. One of the examples of phenotypic heterogeneity in bacterial populations is antibiotic tolerant persister cells. Such an antibiotic tolerance phenotype is of considerable clinical relevance since dormant bacteria can re-establish infections rapidly after the antibiotic treatment has been terminated. Up to now mechanisms for establishing the persistence phenomenon in bacteria have remained largely enigmatic. Persisters are cells considered to be in a dormant state with down regulated gene expression. Only recently small regulatory RNAs (sRNAs) have been appreciated as important regulators of gene expression in response to environmental stimuli and several theoretical studies have suggested a possible involvement of sRNAs in the mechanisms of regulated heterogeneity in bacteria. We have experimentally addressed this potential link between sRNAs and persistence/dormancy in E. coli as an example of heterogeneity. Beside classical sRNAs we are focusing also on sRNAs directly associating with and possibly regulating the ribosome, the central enzyme of gene expression. The persister and dormant cell specific sRNA profile is studied by the comparative analysis of sRNA profile changes of the whole bacterial population after antibiotic killing. From RNA-Seq data ~ 25 000 potentially stable RNA fragments were identified and initial analysis predicted ~300 of them to be dormant/persister cell specific. After further evaluation the most prominent dormant/persister cell specific sRNAs are functionally characterized and their potential role in the persistence/dormancy will be evaluated by applying genetic, molecular and biochemical tools. The potential results of this project will provide a better understanding on the molecular mechanism of bacterial persistence/dormancy and on the role of ribosome-bound sRNA molecules in fine-tuning gene expression.

Identification and characterisation of ncRNAs in dormant bacteria

Recent years have led to increasing interest and appreciation of the possible importance of single cell heterogeneity in various biological processes. One of the examples of phenotypic heterogeneity in bacterial populations is antibiotic tolerant persister cells. Such an antibiotic tolerance phenotype is of considerable clinical relevance since dormant bacteria can re-establish infections rapidly after the antibiotic treatment has been terminated. Up to now mechanisms for establishing the persistence phenomenon in bacteria have remained largely enigmatic. Persisters are cells considered to be in a dormant state with down regulated gene expression. Only recently small regulatory RNAs (sRNAs) have been appreciated as important regulators of gene expression in response to environmental stimuli and several theoretical studies have suggested a possible involvement of sRNAs in the mechanisms of regulated heterogeneity in bacteria. We have experimentally addressed this potential link between sRNAs and persistence/dormancy in E. coli as an example of heterogeneity. Beside classical sRNAs we are focusing also on sRNAs directly associating with and possibly regulating the ribosome, the central enzyme of gene expression. The persister and dormant cell specific sRNA profile is studied by the comparative analysis of sRNA profile changes of the whole bacterial population after antibiotic killing. From RNA-Seq data ~ 25 000 potentially stable RNA fragments were identified and initial analysis predicted ~300 of them to be dormant/persister cell specific. After further evaluation the most prominent dormant/persister cell specific sRNAs are functionally characterized and their potential role in the persistence/dormancy will be evaluated by applying genetic, molecular and biochemical tools. The potential results of this project will provide a better understanding on the molecular mechanism of bacterial persistence/dormancy and on the role of ribosome-bound sRNA molecules in fine-tuning gene expression.