Terrigenous sediment-dominated reef platform infilling: an unexpected precursor to reef island formation and a test of the reef platform size–island age model in the Pacific

Low-lying coral reef islands are considered highly vulnerable to climate change, necessitating an improved understanding of when and why they form, and how the timing of formation varies within and among regions. Several testable models have been proposed that explain inter-regional variability as a function of sea-level history and, more recently, a reef platform size model has been proposed from the Maldives (central Indian Ocean) to explain intra-regional (intra-atoll) variability. Here we present chronostratigraphic data from Pipon Island, northern Great Barrier Reef (GBR), enabling us to test the applicability of existing regional island evolution models, and the platform size control hypothesis in a Pacific context. We show that reef platform infilling occurred rapidly (~4–5 mm yr⁻¹) under a “bucket-fill” type scenario. Unusually, this infilling was dominated by terrigenous sedimentation, with platform filling and subsequent reef flat formation complete by ~5000 calibrated years BP (cal BP). Reef flat exposure as sea levels slowly fell post highstand facilitated a shift towards intertidal and subaerial-dominated sedimentation. Our data suggest, however, a lag of ~1500 yr before island initiation (at ~3200 cal BP), i.e. later than that reported from smaller and more evolutionarily mature reef platforms in the region. Our data thus support: (1) the hypothesis that platform size acts to influence the timing of platform filling and subsequent island development at intra-regional scales; and (2) the hypothesis that the low wooded islands of the northern GBR conform to a model of island formation above an elevated reef flat under falling sea levels.

     

Support Vector Machine-based method for predicting subcellular localization of mycobacterial proteins using evolutionary information and motifs

Background

Annotations that describe the function of sequences are enormously important to researchers during laboratory investigations and when making computational inferences. However, there has been little investigation into the data quality of sequence function annotations. Here we have developed a new method of estimating the error rate of curated sequence annotations, and applied this to the Gene Ontology (GO) sequence database (GOSeqLite). This method involved artificially adding errors to sequence annotations at known rates, and used regression to model the impact on the precision of annotations based on BLAST matched sequences.

Results

We estimated the error rate of curated GO sequence annotations in the GOSeqLite database (March 2006) at between 28% and 30%. Annotations made without use of sequence similarity based methods (non-ISS) had an estimated error rate of between 13% and 18%. Annotations made with the use of sequence similarity methodology (ISS) had an estimated error rate of 49%.

Conclusion

While the overall error rate is reasonably low, it would be prudent to treat all ISS annotations with caution. Electronic annotators that use ISS annotations as the basis of predictions are likely to have higher false prediction rates, and for this reason designers of these systems should consider avoiding ISS annotations where possible. Electronic annotators that use ISS annotations to make predictions should be viewed sceptically. We recommend that curators thoroughly review ISS annotations before accepting them as valid. Overall, users of curated sequence annotations from the GO database should feel assured that they are using a comparatively high quality source of information.     

Identification of Proteins Secreted by Malaria Parasite into Erythrocyte using SVM and PSSM profiles

Background  

Malaria parasite secretes various proteins in infected RBC for its growth and survival. Thus identification of these secretory proteins is important for developing vaccine/drug against malaria. The existing motif-based methods have got limited success due to lack of universal motif in all secretory proteins of malaria parasite.     

Identification of ATP binding residues of a protein from its primary sequence

Background  

One of the major challenges in post-genomic era is to provide functional annotations for large number of proteins arising from genome sequencing projects. The function of many proteins depends on their interaction with small molecules or ligands. ATP is one such important ligand that plays critical role as a coenzyme in the functionality of many proteins. There is a need to develop method for identifying ATP interacting residues in a ATP binding proteins (ABPs), in order to understand mechanism of protein-ligands interaction.     

Phospholipase C may be involved in norepinephrine-induced cardiac hypertrophy

Cardiac hypertrophy is characterized by increased cardiomyocyte size, mRNA levels for atrial natriuretic factor (ANF), and protein synthesis. Although activation of the phosphoinositide-specific phospholipase C (PLC) leads to the generation of diacylglycerol (DAG) and inositol 1,4,5-trisphosphate, the involvement of PLC in hypertrophic response remains to be fully understood. The present study was therefore undertaken to examine if the inhibition of PLC activity is associated with a decrease in ANF expression and protein synthesis in cardiomyocytes, due to norepinephrine (NE), a known hypertrophic agent. NE resulted in an increase in ANF gene expression and protein synthesis in adult rat cardiomyocytes, these effects of NE were attenuated by a PLC inhibitor, U73122. The NE-induced increase in ANF gene expression and protein synthesis was also inhibited by an alpha-adrenoceptor blocker, prazosin. Both U73122 and prazosin depressed the NE-induced increase in DAG production in cardiomyocytes. These results indicate that the alpha-adrenoceptor mediated PLC activation may be involved in the process of NE-induced cardiac hypertrophy.     

Identification of conformational B-cell Epitopes in an antigen from its primary sequence

Background

One of the major challenges in the field of vaccine design is to predict conformational B-cell epitopes in an antigen. In the past, several methods have been developed for predicting conformational B-cell epitopes in an antigen from its tertiary structure. This is the first attempt in this area to predict conformational B-cell epitope in an antigen from its amino acid sequence.

Results

All Support vector machine (SVM) models were trained and tested on 187 non-redundant protein chains consisting of 2261 antibody interacting residues of B-cell epitopes. Models have been developed using binary profile of pattern (BPP) and physiochemical profile of patterns (PPP) and achieved a maximum MCC of 0.22 and 0.17 respectively. In this study, for the first time SVM model has been developed using composition profile of patterns (CPP) and achieved a maximum MCC of 0.73 with accuracy 86.59%. We compare our CPP based model with existing structure based methods and observed that our sequence based model is as good as structure based methods.

Conclusion

This study demonstrates that prediction of conformational B-cell epitope in an antigen is possible from is primary sequence. This study will be very useful in predicting conformational B-cell epitopes in antigens whose tertiary structures are not available. A web server CBTOPE has been developed for predicting B-cell epitope http://www.imtech.res.in/raghava/cbtope/.     

Wnt/��-catenin signaling in hepatic organogenesis

Wnt/β-catenin signaling has come to the forefront of liver biology in recent years. This pathway regulates key pathophysiological events inherent to the liver including development, regeneration and cancer, by dictating several biological processes such as proliferation, apoptosis, differentiation, adhesion, zonation and metabolism in various cells of the liver. This review will examine the studies that have uncovered the relevant roles of Wnt/β-catenin signaling during the process of liver development. We will discuss the potential roles of Wnt/β-catenin signaling during the phases of development, including competence, hepatic induction, expansion and morphogenesis. In addition, we will discuss the role of negative and positive regulation of this pathway and how the temporal expression of Wnt/β-catenin can direct key processes during hepatic development. We will also identify some of the major deficits in the current understanding of the role of Wnt/β-catenin signaling in liver development in order to provide a perspective for future studies. Thus, this review will provide a contextual overview of the role of Wnt/β-catenin signaling during hepatic organogenesis.Key words: liver development, liver cancer, liver regeneration, Wnt signaling, proliferation, differentiationThe Wnt/β-catenin pathway is an evolutionarily well-conserved pathway that has proven to be essential to normal cellular processes such as development, growth, survival, regeneration and self-renewal.^1–5 Its diverse functions also include the initiation and progression of cancer.⁶ In fact, one area in which this pathway has been extensively studied is in liver cancer.Mutations of Wnt/β-catenin pathway members in hepatocarcinogenesis are common. For example, 90–100% of hepatoblastomas contain mutations in adenomatous polyposis coli (APC), CTNNB1 and/or Axin1/2, which causes cytoplasmic and nuclear localization of β-catenin.^7–9 Axin1 and β-catenin mutations have also been identified in approximately 25% of hepatocellular carcinomas,^10–12 while overexpression of the frizzled-7 receptor¹³ and glycogen synthase kinase-3 (GSK-3) inactivation¹⁴ can also lead to aberrant β-catenin pathway activation. The dysregulation of this pathway in hepatic cancers makes it an attractive target for potential therapies, and experimental treatment in vivo has shown promising results. For example, inhibiting β-catenin expression by siRNA or R-Etodolac decreases proliferation and survival of human hepatoma cell lines.^15,16 Since cancer recapitulates development, determining the timing of β-catenin activation during hepatogenesis will help us to better understand the inappropriate activation of this pathway in hepatocarcinogenesis.Recent work has elucidated the role of β-catenin signaling in the liver, and has highlighted its essential role in liver health and disease.¹⁷ In addition, emerging evidence suggests that this pathway plays a key role in liver organogenesis.