A Novel Cholinergic Action of Alcohol and the Development of Tolerance to That Effect in Caenorhabditis elegans

The Prp43 DExD/H-box protein is required for progression of the biochemically distinct pre-messenger RNA and ribosomal RNA (rRNA) maturation pathways. In Saccharomyces cerevisiae, the Spp382/Ntr1, Sqs1/Pfa1, and Pxr1/Gno1 proteins are implicated as cofactors necessary for Prp43 helicase activation during spliceosome dissociation (Spp382) and rRNA processing (Sqs1 and Pxr1). While otherwise dissimilar in primary sequence, these Prp43-binding proteins each contain a short glycine-rich G-patch motif required for function and thought to act in protein or nucleic acid recognition. Here yeast two-hybrid, domain-swap, and site-directed mutagenesis approaches are used to investigate G-patch domain activity and portability. Our results reveal that the Spp382, Sqs1, and Pxr1 G-patches differ in Prp43 two-hybrid response and in the ability to reconstitute the Spp382 and Pxr1 RNA processing factors. G-patch protein reconstitution did not correlate with the apparent strength of the Prp43 two-hybrid response, suggesting that this domain has function beyond that of a Prp43 tether. Indeed, while critical for Pxr1 activity, the Pxr1 G-patch appears to contribute little to the yeast two-hybrid interaction. Conversely, deletion of the primary Prp43 binding site within Pxr1 (amino acids 102–149) does not impede rRNA processing but affects small nucleolar RNA (snoRNA) biogenesis, resulting in the accumulation of slightly extended forms of select snoRNAs, a phenotype unexpectedly shared by the prp43 loss-of-function mutant. These and related observations reveal differences in how the Spp382, Sqs1, and Pxr1 proteins interact with Prp43 and provide evidence linking G-patch identity with pathway-specific DExD/H-box helicase activity.     

Gene Copy-Number Variation in Haploid and Diploid Strains of the Yeast Saccharomyces cerevisiae

The kinetochore is the macromolecular protein complex that mediates chromosome segregation. The Dsn1 component is crucial for kinetochore assembly and is phosphorylated by the Aurora B kinase. We found that Aurora B phosphorylation of Dsn1 promotes the interaction between outer and inner kinetochore proteins in budding yeast.     

UniDrug-target: a computational tool to identify unique drug targets in pathogenic bacteria

Background

Targeting conserved proteins of bacteria through antibacterial medications has resulted in both the development of resistant strains and changes to human health by destroying beneficial microbes which eventually become breeding grounds for the evolution of resistances. Despite the availability of more than 800 genomes sequences, 430 pathways, 4743 enzymes, 9257 metabolic reactions and protein (three-dimensional) 3D structures in bacteria, no pathogen-specific computational drug target identification tool has been developed.

Methods

A web server, UniDrug-Target, which combines bacterial biological information and computational methods to stringently identify pathogen-specific proteins as drug targets, has been designed. Besides predicting pathogen-specific proteins essentiality, chokepoint property, etc., three new algorithms were developed and implemented by using protein sequences, domains, structures, and metabolic reactions for construction of partial metabolic networks (PMNs), determination of conservation in critical residues, and variation analysis of residues forming similar cavities in proteins sequences. First, PMNs are constructed to determine the extent of disturbances in metabolite production by targeting a protein as drug target. Conservation of pathogen-specific protein''s critical residues involved in cavity formation and biological function determined at domain-level with low-matching sequences. Last, variation analysis of residues forming similar cavities in proteins sequences from pathogenic versus non-pathogenic bacteria and humans is performed.

Results

The server is capable of predicting drug targets for any sequenced pathogenic bacteria having fasta sequences and annotated information. The utility of UniDrug-Target server was demonstrated for Mycobacterium tuberculosis (H37Rv). The UniDrug-Target identified 265 mycobacteria pathogen-specific proteins, including 17 essential proteins which can be potential drug targets.

Conclusions/Significance

UniDrug-Target is expected to accelerate pathogen-specific drug targets identification which will increase their success and durability as drugs developed against them have less chance to develop resistances and adverse impact on environment. The server is freely available at http://117.211.115.67/UDT/main.html. The standalone application (source codes) is available at http://www.bioinformatics.org/ftp/pub/bioinfojuit/UDT.rar.     

Complete genome sequence of the motile actinomycete Actinoplanes missouriensis 431T (= NBRC 102363T)

Actinoplanes missouriensis Couch 1963 is a well-characterized member of the genus Actinoplanes, which is of morphological interest because its members typically produce sporangia containing motile spores. The sporangiospores are motile by means of flagella and exhibit chemotactic properties. It is of further interest that members of Actinoplanes are prolific sources of novel antibiotics, enzymes, and other bioactive compounds. Here, we describe the features of A. missouriensis 431^T, together with the complete genome sequence and annotation. The 8,773,466 bp genome contains 8,125 protein-coding and 79 RNA genes.     

Discovery of protein phosphorylation motifs through exploratory data analysis

Background

The need for efficient algorithms to uncover biologically relevant phosphorylation motifs has become very important with rapid expansion of the proteomic sequence database along with a plethora of new information on phosphorylation sites. Here we present a novel unsupervised method, called Motif Finder (in short, F-Motif) for identification of phosphorylation motifs. F-Motif uses clustering of sequence information represented by numerical features that exploit the statistical information hidden in some foreground data. Furthermore, these identified motifs are then filtered to find “actual” motifs with statistically significant motif scores.

Results and Discussion

We have applied F-Motif to several new and existing data sets and compared its performance with two well known state-of-the-art methods. In almost all cases F-Motif could identify all statistically significant motifs extracted by the state-of-the-art methods. More importantly, in addition to this, F-Motif uncovers several novel motifs. We have demonstrated using clues from the literature that most of these new motifs discovered by F-Motif are indeed novel. We have also found some interesting phenomena. For example, for CK2 kinase, the conserved sites appear only on the right side of S. However, for CDK kinase, the adjacent site on the right of S is conserved with residue P. In addition, three different encoding methods, including a novel position contrast matrix (PCM) and the simplest binary coding, are used and the ability of F-motif to discover motifs remains quite robust with respect to encoding schemes.

Conclusions

An iterative algorithm proposed here uses exploratory data analysis to discover motifs from phosphorylated data. The effectiveness of F-Motif has been demonstrated using several real data sets as well as using a synthetic data set. The method is quite general in nature and can be used to find other types of motifs also. We have also provided a server for F-Motif at http://f-motif.classcloud.org/, http://bio.classcloud.org/f-motif/ or http://ymu.classcloud.org/f-motif/.     

Genome sequence and description of Alistipes senegalensis sp. nov.

Alistipes senegalensis strain JC50^T is the type strain of A. senegalensis sp. nov., a new species within the Alistipes genus. This strain, whose genome is described here, was isolated from the fecal flora of an asymptomatic patient. A. senegalensis is an anaerobic Gram-negative rod-shaped bacterium. Here we describe the features of this organism, together with the complete genome sequence and annotation. The 4,017,609 bp long genome (1 chromosome, but no plasmid) contains 3,113 protein-coding and 50 RNA genes, including 5 rRNA genes.     

High resolution population maps for low income nations: combining land cover and census in East Africa

Background

Between 2005 and 2050, the human population is forecast to grow by 2.7 billion, with the vast majority of this growth occurring in low income countries. This growth is likely to have significant social, economic and environmental impacts, and make the achievement of international development goals more difficult. The measurement, monitoring and potential mitigation of these impacts require high resolution, contemporary data on human population distributions. In low income countries, however, where the changes will be concentrated, the least information on the distribution of population exists. In this paper we investigate whether satellite imagery in combination with land cover information and census data can be used to create inexpensive, high resolution and easily-updatable settlement and population distribution maps over large areas.

Methodology/Principal Findings

We examine various approaches for the production of maps of the East African region (Kenya, Uganda, Burundi, Rwanda and Tanzania) and where fine resolution census data exists, test the accuracies of map production approaches and existing population distribution products. The results show that combining high resolution census, settlement and land cover information is important in producing accurate population distribution maps.

Conclusions

We find that this semi-automated population distribution mapping at unprecedented spatial resolution produces more accurate results than existing products and can be undertaken for as little as $0.01 per km². The resulting population maps are a product of the Malaria Atlas Project (MAP: http://www.map.ox.ac.uk) and are freely available.     

Comparative Analysis of Pdf-Mediated Circadian Behaviors Between Drosophila melanogaster and D. virilis

PAR proteins (partitioning defective) are major regulators of cell polarity and asymmetric cell division. One of the par genes, par-1, encodes a Ser/Thr kinase that is conserved from yeast to mammals. In Caenorhabditis elegans, par-1 governs asymmetric cell division by ensuring the polar distribution of cell fate determinants. However the precise mechanisms by which PAR-1 regulates asymmetric cell division in C. elegans remain to be elucidated. We performed a genomewide RNAi screen and identified six genes that specifically suppress the embryonic lethal phenotype associated with mutations in par-1. One of these suppressors is mpk-1, the C. elegans homolog of the conserved mitogen activated protein (MAP) kinase ERK. Loss of function of mpk-1 restored embryonic viability, asynchronous cell divisions, the asymmetric distribution of cell fate specification markers, and the distribution of PAR-1 protein in par-1 mutant embryos, indicating that this genetic interaction is functionally relevant for embryonic development. Furthermore, disrupting the function of other components of the MAPK signaling pathway resulted in suppression of par-1 embryonic lethality. Our data therefore indicates that MAP kinase signaling antagonizes PAR-1 signaling during early C. elegans embryonic polarization.ASYMMETRIC cell division, a process in which a mother cell divides in two different daughter cells, is a fundamental mechanism to achieve cell diversity during development. We use the early embryo of Caenorhabditis elegans as a model system to study asymmetric cell division. The C. elegans one-cell embryo divides asymmetrically along its anteroposterior axis, generating two cells of different sizes and fates: the larger anterior daughter cell will generate somatic tissues while the smaller posterior daughter cell will generate the germline (Sulston et al. 1983).A group of proteins called PAR proteins (partitioning defective) is required for asymmetric cell division in C. elegans (Kemphues et al. 1988). Depletion of any of the seven par genes (par-1 to -6 and pkc-3) leads to defects in asymmetric cell division and embryonic lethality (Kemphues et al. 1988; Kirby et al. 1990; Tabuse et al. 1998; Hung and Kemphues 1999; Hao et al. 2006). PAR-3 and PAR-6 are conserved proteins that contain PDZ-domains and form a complex with PKC-3 (Etemad-Moghadam et al. 1995; Izumi et al. 1998; Tabuse et al. 1998; Hung and Kemphues 1999). This complex becomes restricted to the anterior cortex of the embryo in response to spatially defined actomyosin contractions occurring in the embryo upon fertilization (Goldstein and Hird 1996; Munro et al. 2004). The posterior cortex of the embryo that becomes devoid of the anterior PAR proteins is occupied by the RING protein PAR-2 and the Ser/Thr kinase PAR-1 (Guo and Kemphues 1995; Boyd et al. 1996; Cuenca et al. 2003). Once polarized, the anterior and posterior PAR proteins mutually exclude each other from their respective cortices (Etemad-Moghadam et al. 1995; Boyd et al. 1996; Cuenca et al. 2003; Hao et al. 2006). Loss of function of the gene par-1, as opposed to loss of most other par genes, results in embryos that exhibit only subtle effects on the polarized cortical domains occupied by the other PAR proteins (Cuenca et al. 2003). However defects in this gene are associated with a more symmetric division in size, an aberrant distribution of cell fate specification markers, altered cell fates of the daughter cells of the embryo, and ultimately embryonic lethality (Kemphues et al. 1988; Guo and Kemphues 1995).PAR-1 controls asymmetric cell division and cell fate specification by regulating the localization of the two highly similar CCCH-type zinc-finger proteins MEX-5 and MEX-6 (referred to as MEX-5/6). MEX-5 and MEX-6 are 70% identical in their amino acid sequence and fulfill partially redundant functions in the embryo (Schubert et al. 2000). In wild-type animals, endogenous MEX-5 and GFP fusions of MEX-6 localize primarily to the anterior of the embryo while both proteins are evenly distributed in par-1 mutant embryos (Schubert et al. 2000; Cuenca et al. 2003). This suggests that in wild-type animals, PAR-1 acts in part by restricting MEX-5 and MEX-6 to the anterior of the embryo. The precise mechanism of this regulation is not known, but an elegant study performed for MEX-5 indicates that differential protein mobility in the anterior and posterior cytoplasm of the one-cell embryo contributes to this asymmetry (Tenlen et al. 2008). While increased mobility in the posterior of the one-cell embryo correlates with a par-1- and par-4-dependent phosphorylation on MEX-5, the kinase directly phosphorylating MEX-5 remains to be identified (Tenlen et al. 2008).Some of the phenotypes associated with loss of par-1 function are dependent on the function of mex-5 and mex-6. First, loss of function of par-1 leads to a decreased stability and aberrant localization of the posterior cell fate specification marker PIE-1, a protein that is usually inherited by the posterior daughter cell in wild-type animals and ensures the correct specification of the germline (Mello et al. 1996; Seydoux et al. 1996). This decreased stability is dependent on mex-5/6 function as PIE-1 levels are restored, albeit with symmetrical distribution, in mex-6(RNAi); mex-5(RNAi); par-1(b274) embryos (Schubert et al. 2000; Cuenca et al. 2003; Derenzo et al. 2003). Second, embryos lacking par-1 function exhibit decreased amounts of P granules in the one-cell embryo, while these markers are present in mex-6(pk440); mex-5(zu199); par-1(RNAi) embryos of comparable age (Cheeks et al. 2004). Third, in par-1(RNAi) one-cell embryos the posterior cortical domain occupied by the polarity protein PAR-2 is extended anteriorly, when compared to wild-type embryos (Cuenca et al. 2003). This anterior extension is rescued in embryos deficient for both par-1 and mex-5/6 (Cuenca et al. 2003). Taken together, these results indicate that par-1 acts in the embryo—at least in part—by regulating the localization and/or activity of the proteins MEX-5 and MEX-6. However, it remains unclear whether other proteins can modulate PAR-1 function to affect MEX-5/6 activity.To gain insight into the mechanisms of par-1 function in the embryo, we sought to identify genes that act together with par-1 during embryonic development. We performed an RNAi-based screen for genetic interactors of the temperature-sensitive allele par-1(zu310), using the embryonic lethal phenotype of this mutant as a readout. This method has proven successful in previous screens to identify genes involved in early embryonic processes (Labbé et al. 2006; O''Rourke et al. 2007). We were able to identify six genes that, upon disruption of their function, suppress the embryonic lethal phenotype of par-1 mutant embryos. One of these genes is mpk-1, the C. elegans homolog of the highly conserved MAP kinase ERK. Closer analysis subsequently showed that reduction of function of mpk-1 not only increases viability of par-1 mutant embryos, but also reverts several polarity phenotypes associated with loss of function of par-1. Our data indicate that mpk-1 antagonizes par-1 activity to regulate polarization and asymmetric cell divisions in the early embryo.     

Direct Comparison of Immunogenicity Induced by 10- or 13-Valent Pneumococcal Conjugate Vaccine around the 11-Month Booster in Dutch Infants

Background & Aims

Since 2009/10, a 10- and a 13-valent pneumococcal conjugate vaccine (PCV) are available, but only the 10-valent vaccine is now being used for the children in the Netherlands. As the vaccines differ in number of serotypes, antigen concentration, and carrier proteins this study was designed to directly compare quantity and quality of the antibody responses induced by PCV10 and PCV13 before and after the 11-month booster.

Methods

Dutch infants (n = 132) were immunized with either PCV10 or PCV13 and DTaP-IPV-Hib-HepB at the age of 2, 3, 4 and 11 months. Blood samples were collected pre-booster and post-booster at one week and one month post-booster for quantitative and qualitative immunogenicity against 13 pneumococcal serotypes, as well as quantitative immunogenicity against diphtheria, tetanus, pertussis and Haemophilus influenzae type b. We compared immunogenicity induced by PCV13 and PCV10 for their ten shared serotypes.

Results

One month post-booster, pneumococcal serotype-specific IgG geometric mean concentrations (GMCs) for the PCV13 group were higher compared with the PCV10 group for six serotypes, although avidity was lower. Serotype 19F showed the most distinct difference in IgG and, in contrast to other serotypes, its avidity was higher in the PCV13 group. One week post-booster, opsonophagocytosis for serotype 19F did not differ significantly between the PCV10- and the PCV13 group.

Conclusion

Both PCV10 and PCV13 were immunogenic and induced a booster response. Compared to the PCV10 group, the PCV13 group showed higher levels for serotype 19F GMCs and avidity, pre- as well as post-booster, although opsonophagocytosis did not differ significantly between groups. In our study, avidity is not correlated to opsonophagocytotic activity (OPA) and correlations between IgG and OPA differ per serotype. Therefore, besides assays to determine IgG GMCs, assays to detect opsonophagocytotic activity, i.e., the actual killing of the pneumococcus, are important for PCV evaluation. How differences between the two vaccines relate to long-term protection requires further investigation.

Trial Registration

www.trialregister.nl NTR3069     

Non-contiguous finished genome sequence and description of Brevibacterium senegalense sp. nov.

Brevibacterium senegalense strain JC43^T sp. nov. is the type strain of Brevibacterium senegalense sp. nov., a new species within the Brevibacterium genus. This strain, whose genome is described here, was isolated from the fecal flora of a healthy Senegalese patient. B. senegalense is an aerobic rod-shaped Gram-positive bacterium. Here we describe the features of this organism, together with the complete genome sequence and annotation. The 3,425,960 bp long genome (1 chromosome but no plasmid) contains 3,064 protein-coding and 49 RNA genes.