Superinfection prevents recombination of the alphaherpesvirus bovine herpesvirus 1

Homologous recombination between strains of the same alphaherpesvirus species occurs frequently both in vitro and in vivo. This process has been described between strains of herpes simplex virus type 1, herpes simplex virus type 2, pseudorabies virus, feline herpesvirus 1, varicella-zoster virus, and bovine herpesvirus 1 (BoHV-1). In vivo, the rise of recombinant viruses can be modulated by different factors, such as the dose of the inoculated viruses, the distance between inoculation sites, the time interval between inoculation of the first and the second virus, and the genes in which the mutations are located. The effect of the time interval between infections with two distinguishable BoHV-1 on recombination was studied in three ways: (i) recombination at the level of progeny viruses, (ii) interference induced by the first virus infection on β-galactosidase gene expression of a superinfecting virus, and (iii) recombination at the level of concatemeric DNA. A time interval of 2 to 8 h between two successive infections allows the establishment of a barrier, which reduces or prevents any successful superinfection needed to generate recombinant viruses. The dramatic effect of the time interval on the rise of recombinant viruses is particularly important for the risk assessment of recombination between glycoprotein E-negative marker vaccine and field strains that could threaten BoHV-1 control and eradication programs.     

Maximizing the Power of Principal-Component Analysis of Correlated Phenotypes in Genome-wide Association Studies

Many human traits are highly correlated. This correlation can be leveraged to improve the power of genetic association tests to identify markers associated with one or more of the traits. Principal component analysis (PCA) is a useful tool that has been widely used for the multivariate analysis of correlated variables. PCA is usually applied as a dimension reduction method: the few top principal components (PCs) explaining most of total trait variance are tested for association with a predictor of interest, and the remaining components are not analyzed. In this study we review the theoretical basis of PCA and describe the behavior of PCA when testing for association between a SNP and correlated traits. We then use simulation to compare the power of various PCA-based strategies when analyzing up to 100 correlated traits. We show that contrary to widespread practice, testing only the top PCs often has low power, whereas combining signal across all PCs can have greater power. This power gain is primarily due to increased power to detect genetic variants with opposite effects on positively correlated traits and variants that are exclusively associated with a single trait. Relative to other methods, the combined-PC approach has close to optimal power in all scenarios considered while offering more flexibility and more robustness to potential confounders. Finally, we apply the proposed PCA strategy to the genome-wide association study of five correlated coagulation traits where we identify two candidate SNPs that were not found by the standard approach.     

Transformation of 2,4,6-Trinitrotoluene (TNT) Reduction Products by Lignin Peroxidase (H8) from the White-Rot Basidiomycete Phanerochaete chrysosporium

White-rot fungi are known to degrade a wide range of xenobiotic environmental pollutants, including the nitroaromatic explosive 2,4,6-trinitrotoluene (TNT). TNT is first reduced by the fungal mycelium to aminodinitrotoluenes and diaminonitrotoluenes. In a second phase, reduced TNT metabolites are oxidatively transformed and mineralized. The extracellular oxidative enzyme of the ligninolytic system of these fungi includes the lignin peroxidases (LiP) and the manganese-dependent peroxidases (MnP). In the present study, we have shown that a cell-free enzymatic system containing fast protein liquid chromatography (FPLC)-purified LiP (H8) from the white-rot fungus Phanerochaete chrysosporium was able to completely transform 50 mg/L of 2,4-diamino-6-nitrotoluene (2,4-DA-6-NT) and 2-amino-4,6-dinitrotoluene (2-A-4,6-DNT) in 1 and 48 h, respectively. Veratryl alcohol (VA), often described as a mediator in the LiP-catalyzed oxidative depolymerization of lignin, was not required for the enzymatic transformation of 2,4-DA-6-NT or 2-A-4,6-DNT. 2,4-DA-6-NT was also shown to be a competitive inhibitor of the LiP activity measured through the oxidation of VA. Experiments using ¹⁴C-U-ring labeled compounds showed that 2-A-4,6-DNT was converted to 2,2'-azoxy-4,4' ,6,6'-tetranitrotoluene. No significant mineralization, measured by the release of ¹⁴CO2, was observed over 5 d.     

Effects of putative galanin antagonists M35 and C7 on rat exocrine pancreas.

Galanin is a neuropeptide having a wide range of biological actions. Recently selective galanin receptor antagonists such as M35 [galanin(1-12)-Pro-bradykinin(2-9)-amide] and C7 [galanin(1-12)-Pro-spantide-amide] have been described. These antagonists have blocked the actions of galanin on flexor reflex, glucose-induced insulin secretion, and acetyicholine release from hippocampus. Our present aim was to investigate whether M35 and C7 can affect galanin-induced inhibition of pancreatic enzyme secretion in rats. Pancreatic enzyme secretion was studied in urethane-anesthetized rats supplied with jugular vein catheter and pancreatic cannula. Amylase secretion evoked by submaximal CCK-8 stimulation was inhibited dose-dependently by galanin in anesthetized rats. Surprisingly, neither M35 nor C7 was able to inhibit the responses of the exocrine pancreas to galanin. However, both putative galanin receptor antagonists behaved as agonists in our experimental models. Our data suggest that the effects of galanin on pancreatic enzyme secretion are not mediated by M35- or C7-sensitive galanin receptors. Therefore, these galanin receptors are different from those described in the central nervous system.     

The Interactomes of Influenza Virus NS1 and NS2 Proteins Identify New Host Factors and Provide Insights for ADAR1 Playing a Supportive Role in Virus Replication

Influenza A NS1 and NS2 proteins are encoded by the RNA segment 8 of the viral genome. NS1 is a multifunctional protein and a virulence factor while NS2 is involved in nuclear export of viral ribonucleoprotein complexes. A yeast two-hybrid screening strategy was used to identify host factors supporting NS1 and NS2 functions. More than 560 interactions between 79 cellular proteins and NS1 and NS2 proteins from 9 different influenza virus strains have been identified. These interacting proteins are potentially involved in each step of the infectious process and their contribution to viral replication was tested by RNA interference. Validation of the relevance of these host cell proteins for the viral replication cycle revealed that 7 of the 79 NS1 and/or NS2-interacting proteins positively or negatively controlled virus replication. One of the main factors targeted by NS1 of all virus strains was double-stranded RNA binding domain protein family. In particular, adenosine deaminase acting on RNA 1 (ADAR1) appeared as a pro-viral host factor whose expression is necessary for optimal viral protein synthesis and replication. Surprisingly, ADAR1 also appeared as a pro-viral host factor for dengue virus replication and directly interacted with the viral NS3 protein. ADAR1 editing activity was enhanced by both viruses through dengue virus NS3 and influenza virus NS1 proteins, suggesting a similar virus-host co-evolution.     

Gene expression profile in response to <Emphasis Type="Italic">Xanthomonas axonopodis</Emphasis> pv. <Emphasis Type="Italic">manihotis</Emphasis> infection in cassava using a cDNA microarray

A cassava cDNA microarray based on a large cassava EST database was constructed and used to study the incompatible interaction between cassava and Xanthomonas axonopodis pv. manihotis (Xam) strain CIO151. For microarray construction, 5700 clones from the cassava unigene set were amplified by polymerase chain reaction (PCR) and printed on glass slides. Microarray hybridization was performed using cDNA from cassava plants (resistant variety MBra685) collected at 12, 24, 48 h and 7 and 15 days post-infection as treatment and cDNA from mock-inoculated plants as control. A total of 199 genes were found to be differentially expressed (126 up-regulated and 73 down-regulated). A greater proportion of differentially-expressed genes was observed at 7 days after inoculation. Expression profiling and cluster analyses indicate that, in response to inoculation with Xam, cassava induces dozens of genes, including principally those involved in oxidative burst, protein degradation and pathogenesis-related (PR) genes. In contrast, genes encoding proteins that are involved in photosynthesis and metabolism were down regulated. In addition, various other genes encoding proteins with unknown function or showing no similarity to other proteins were also induced. Quantitative real time PCR experiments confirmed the reliability of our microarray data. In addition we showed that some genes are induced more rapidly in the resistant than in the susceptible cultivar.These authors made equal contributions to this work.     

Plant functional traits capture species richness variations along a flooding gradient

Local species coexistence is the outcome of abiotic and biotic filtering processes which sort species according to their trait values. However, the capacity of trait‐based approaches to predict the variation in realized species richness remains to be investigated. In this study, we asked whether a limited number of plant functional traits, related to the leaf‐height‐seed strategy scheme and averaged at the community level, is able to predict the variation in species richness over a flooding disturbance gradient. We further investigated how these mean community traits are able to quantify the strength of abiotic and biotic processes involved in the disturbance–productivity–diversity relationship. We thus tested the proposal that the deviation between the fundamental species richness, assessed from ecological niche‐based models, and realized species richness, i.e. field‐observed richness, is controlled by species interactions. Flooding regime was determined using a detailed hydrological model. A precise vegetation sampling was performed across 222 quadrats located throughout the flooding gradient. Three core functional traits were considered: specific leaf area (SLA), plant height and seed mass. Species richness showed a hump‐shaped response to disturbance and productivity, but was better predicted by only two mean community traits: SLA and height. On the one hand, community SLA that increased with flooding, controlled the disturbance‐diversity relationship through habitat filtering. On the other hand, species interactions, the strength of which was captured by community height values, played a strong consistent role throughout the disturbance gradient by reducing the local species richness. Our study highlights that a limited number of simple, quantitative, easily measurable functional traits can capture the variation in plant species richness at a local scale and provides a promising quantification of key community assembly mechanisms.