Maximum likelihood molecular clock comb: analytic solutions.

Maximum likelihood (ML) is increasingly used as an optimality criterion for selecting evolutionary trees, but finding the global optimum is a hard computational task. Because no general analytic solution is known, numeric techniques such as hill climbing or expectation maximization (EM), are used in order to find optimal parameters for a given tree. So far, analytic solutions were derived only for the simplest model--three taxa, two state characters, under a molecular clock. Four taxa rooted trees have two topologies--the fork (two subtrees with two leaves each) and the comb (one subtree with three leaves, the other with a single leaf). In a previous work, we devised a closed form analytic solution for the ML molecular clock fork. In this work, we extend the state of the art in the area of analytic solutions ML trees to the family of all four taxa trees under the molecular clock assumption. The change from the fork topology to the comb incurs a major increase in the complexity of the underlying algebraic system and requires novel techniques and approaches. We combine the ultrametric properties of molecular clock trees with the Hadamard conjugation to derive a number of topology dependent identities. Employing these identities, we substantially simplify the system of polynomial equations. We finally use tools from algebraic geometry (e.g., Gr?bner bases, ideal saturation, resultants) and employ symbolic algebra software to obtain analytic solutions for the comb. We show that in contrast to the fork, the comb has no closed form solutions (expressed by radicals in the input data). In general, four taxa trees can have multiple ML points. In contrast, we can now prove that under the molecular clock assumption, the comb has a unique (local and global) ML point. (Such uniqueness was previously shown for the fork.).     

An Immunomodulating Motif of the HIV-1 Fusion Protein Is Chirality-independent: IMPLICATIONS FOR ITS MODE OF ACTION*

An immunosuppressive motif was recently found within the HIV-1 gp41 fusion protein (termed immunosuppressive loop-associated determinant core motif (ISLAD CM)). Peptides containing the motif interact with the T-cell receptor (TCR) complex; however, the mechanism by which the motif exerts its immunosuppressive activity is yet to be determined. Recent studies showed that interactions between protein domains in the membrane milieu are not always sterically controlled. Therefore, we utilized the unique membrane leniency toward association between d- and l-stereoisomers to investigate the detailed mechanism by which ISLAD CM inhibits T-cell activation. We show that a d-enantiomer of ISLAD CM (termed ISLAD d-CM) inhibited the proliferation of murine myelin oligodendrocyte glycoprotein (MOG)-(35–55)-specific line T-cells to the same extent as the l-motif form. Moreover, the d- and l-forms preferentially bound spleen-derived T-cells over B-cells by 13-fold. Furthermore, both forms of ISLAD CM co-localized with the TCR on activated T-cells and interacted with the transmembrane domain of the TCR. FRET experiments revealed the importance of basic residues for the interaction between ISLAD CM forms and the TCR transmembrane domain. Ex vivo studies demonstrated that ISLAD d-CM administration inhibited the proliferation (72%) and proinflammatory cytokine secretion of pathogenic MOG(35–55)-specific T-cells. This study provides insights into the immunosuppressive mechanism of gp41 and demonstrates that chirality-independent interactions in the membrane can take place in diverse biological systems. Apart from HIV pathogenesis, the d-peptide reported herein may serve as a potential tool for treating T-cell-mediated pathologies.     

H2S gas biological removal efficiency and bacterial community diversity in biofilter treating wastewater odor

The objective of this study was to assess the feasibility of using a biofilter system to treat hydrogen sulfide (H2S) contaminated air and to characterize its microbial community. The biofilter system was packed with peat. During the experimental work, the peat was divided in three layers (down, middle, and up). Satisfactory removal efficiencies of H2S were proved and reached 99% for the majority of the run time at an empty bed retention time (EBRT) of 60 s. The polymerase chain reaction-single strand conformation polymorphism (PCR-SSCP) method was used to uncover the changes in the microbial community between the different layers. Analysis of SSCP profiles demonstrated significant differences in community structure from a layer to another with a strong decrease in species diversity towards the up layer. It was found that the used support was suitable for microorganism growth, and may have a potential application in H2S biofiltration system.     

Can Genetic Pleiotropy Replicate Common Clinical Constellations of Cardiovascular Disease and Risk?

The relationship between obesity, diabetes, hyperlipidemia, hypertension, kidney disease and cardiovascular disease (CVD) is established when looked at from a clinical, epidemiological or pathophysiological perspective. Yet, when viewed from a genetic perspective, there is comparatively little data synthesis that these conditions have an underlying relationship. We sought to investigate the overlap of genetic variants independently associated with each of these commonly co-existing conditions from the NHGRI genome-wide association study (GWAS) catalog, in an attempt to replicate the established notion of shared pathophysiology and risk. We used pathway-based analyses to detect subsets of pleiotropic genes involved in similar biological processes. We identified 107 eligible GWAS studies related to CVD and its established comorbidities and risk factors and assigned genes that correspond to the associated signals based on their position. We found 44 positional genes shared across at least two CVD-related phenotypes that independently recreated the established relationship between the six phenotypes, but only if studies representing non-European populations were included. Seven genes revealed pleiotropy across three or more phenotypes, mostly related to lipid transport and metabolism. Yet, many genes had no relationship to each other or to genes with established functional connection. Whilst we successfully reproduced established relationships between CVD risk factors using GWAS findings, interpretation of biological pathways involved in the observed pleiotropy was limited. Further studies linking genetic variation to gene expression, as well as describing novel biological pathways will be needed to take full advantage of GWAS results.     

Down regulation effect of Rosmarinus officinalis polyphenols on cellular stress proteins in rat pheochromocytoma PC12 cells

Polyphenols are known to exhibit wide spectrum of benefit for brain health and to protect from several neurodegenerative diseases. The present study was sought to determine the neuroprotective effects of Rosmarinus officinalis' polyphenols (luteolin, carnosic acid, and rosmarinic acid) through the investigation of stress-related proteins. We carried out measurement of the expression of heat-shock protein (Hsp) 47 promoter in heat stressed Chinese hamster ovary transfected cells. We performed proteomic analysis and confirmed gene expression by real time PCR in PC12 cells. Results showed that these compounds modulated significant and different effects on the expression of 4 stress-related proteins: heat shock protein 90 α (Hsp90), Transitional endoplasmic reticulum ATPase (VCP/p97), Nucleoside diphosphate kinase (NDK), and Hypoxia up-regulated protein 1 (HYOU1)) at translational and post translational levels in PC12 cells and they downregulated the expression of Hsp47 activity in Chinese hamster transformed cells. These findings suggest that luteolin, carnosic acid, and rosmarinic acid may modulate the neuroprotective defense system against cellular stress insults and increase neuro-thermotolerance.     

The impact of gene-environment interaction and correlation on the interpretation of heritability

The presence of gene-environment statistical interaction (GxE) and correlation (rGE) in biological development has led both practitioners and philosophers of science to question the legitimacy of heritability estimates. The paper offers a novel approach to assess the impact of GxE and rGE on the way genetic and environmental causation can be partitioned. A probabilistic framework is developed, based on a quantitative genetic model that incorporates GxE and rGE, offering a rigorous way of interpreting heritability estimates. Specifically, given an estimate of heritability and the variance components associated with estimates of GxE and rGE, I arrive at a probabilistic account of the relative effect of genes and environment.     

The influence of the growth retardant CCC on endogenous gibberellin in cucumber seedlings

Summary The gibberellin content of cucumber (Cucumis sativus L.) roots and green organs from (2-chloroethyl) trimethylammonium chloride (CCC)-treated seeds was equal to or even higher than in the water controls. The main difference between control and growth retardant-treated seedlings was expressed in the differential distribution of the endogenous gibberellin between its free and bound forms.Publication of the Agricultural Research Organization, Bet Dagan, Israel, Series 1975, No. 151-E.     

The Lck Tyrosine Kinase Is Expressed in Brain Neurons

Abstract: The lck gene product, p56^lck, is a member of the src-related family of protein tyrosine kinases. It is known as lymphocyte specific and involved in thymocyte development and in the immune response mediated by the T cell receptor. We report that the lck gene is also expressed in adult mouse CNS and that brain p56^lck is similar to the thymus protein. In situ hybridization and immunohistochemistry show that the lck gene is expressed in neurons throughout the brain in distinct regions, including hippocampus and cerebellum. In primary cultures from fetal mouse brain, neuronal cells are immunoreactive to Lck antiserum. This suggests that the lck gene product might be involved in a new signal transduction pathway in mouse brain.