Evaluating Purifying Selection in the Mitochondrial DNA of Various Mammalian Species

Mitochondrial DNA (mtDNA), the circular DNA molecule inside the mitochondria of all eukaryotic cells, has been shown to be under the effect of purifying selection in several species. Traditional testing of purifying selection has been based simply on ratios of nonsynonymous to synonymous mutations, without considering the relative age of each mutation, which can be determined by phylogenetic analysis of this non-recombining molecule. The incorporation of a mutation time-ordering from phylogeny and of predicted pathogenicity scores for nonsynonymous mutations allow a quantitative evaluation of the effects of purifying selection in human mtDNA. Here, by using this additional information, we show that purifying selection undoubtedly acts upon the mtDNA of other mammalian species/genera, namely Bos sp., Canis lupus, Mus musculus, Orcinus orca, Pan sp. and Sus scrofa. The effects of purifying selection were comparable in all species, leading to a significant major proportion of nonsynonymous variants with higher pathogenicity scores in the younger branches of the tree. We also derive recalibrated mutation rates for age estimates of ancestors of these various species and proposed a correction curve in order to take into account the effects of selection. Understanding this selection is fundamental to evolutionary studies and to the identification of deleterious mutations.     

Identification,design and synthesis of novel pyrazolopyridine influenza virus nonstructural protein 1 antagonists

Nonstructural protein 1 (NS1) plays a crucial function in the replication, spread, and pathogenesis of influenza virus by inhibiting the host innate immune response. Here we report the discovery and optimization of novel pyrazolopyridine NS1 antagonists that can potently inhibit influenza A/PR/8/34 replication in MDCK cells, rescue MDCK cells from cytopathic effects of seasonal influenza A strains, reverse NS1-dependent inhibition of IFN-β gene expression, and suppress the slow growth phenotype in NS1-expressing yeast. These pyrazolopyridines will enable researchers to investigate NS1 function during infection and how antagonists can be utilized in the next generation of treatments for influenza infection.     

Gene-based sequence diversity analysis of field pea (Pisum)

Sequence diversity of 39 dispersed gene loci was analyzed in 48 diverse individuals representative of the genus Pisum. The different genes show large variation in diversity parameters, suggesting widely differing levels of selection and a high overall diversity level for the species. The data set yields a genetic diversity tree whose deep branches, involving wild samples, are preserved in a tree derived from a polymorphic retrotransposon insertions in an identical sample set. Thus, gene regions and intergenic "junk DNA" share a consistent picture for the genomic diversity of Pisum, despite low linkage disequilibrium in wild and landrace germplasm, which might be expected to allow independent evolution of these very different DNA classes. Additional lines of evidence indicate that recombination has shuffled gene haplotypes efficiently within Pisum, despite its high level of inbreeding and widespread geographic distribution. Trees derived from individual gene loci show marked differences from each other, and genetic distance values between sample pairs show high standard deviations. Sequence mosaic analysis of aligned sequences identifies nine loci showing evidence for intragenic recombination. Lastly, phylogenetic network analysis confirms the non-treelike structure of Pisum diversity and indicates the major germplasm classes involved. Overall, these data emphasize the artificiality of simple tree structures for representing genomic sequence variation within Pisum and emphasize the need for fine structure haplotype analysis to accurately define the genetic structure of the species.     

Community response grids: using information technology to help communities respond to bioterror emergencies

Access to accurate and trusted information is vital in preparing for, responding to, and recovering from an emergency. To facilitate response in large-scale emergency situations, Community Response Grids (CRGs) integrate Internet and mobile technologies to enable residents to report information, professional emergency responders to disseminate instructions, and residents to assist one another. CRGs use technology to help residents and professional emergency responders to work together in community response to emergencies, including bioterrorism events. In a time of increased danger from bioterrorist threats, the application of advanced information and communication technologies to community response is vital in confronting such threats. This article describes CRGs, their underlying concepts, development efforts, their relevance to biosecurity and bioterrorism, and future research issues in the use of technology to facilitate community response.