Bacterial diversity of a Carolina bay as determined by 16S rRNA gene analysis: confirmation of novel taxa.

Carolina bays are naturally occurring shallow elliptical depressions largely fed by rain and shallow ground water. To identify members of the domain Bacteria which inhibit such an environment, we used PCR to construct a library of 16S rRNA genes (16S rDNAs) cloned from DNA extracted from the sediments of Rainbow bay, located on the Savannah River Site, near Aiken, S.C. Oligonucleotides complementary to conserved regions of 16S rDNA were used as primers for PCR, and gel-purified PCR products were cloned into vector pGEM-T. Partial sequencing of the cloned 16S rDNAs revealed an extensive amount of phylogenetic diversity within this system. Of the 35 clones sequenced, 32 were affiliated with five bacterial groups: 11 clustered with the Proteobacteria division (including members of the alpha, beta, and delta subdivisions), 8 clustered with the Acidobacterium subdivision of the Fibrobacter division (as categorized by the Ribosomal Database Project's taxonomic scheme, version 5.0), 7 clustered with the Verrucomicrobium subdivision of the Planctomyces division, 3 clustered with the gram-positive bacteria (Clostridium and relatives subdivision), and 3 clustered with the green nonsulfur bacteria. One sequence branched very deeply from the Bacteria and was found not to be associated with any of the major divisions when phylogenetic trees were constructed. Two clones did not consistently cluster with specific groups and may be chimeric sequences. None of the clones exhibited an exact match to any of the 16S rDNA sequences deposited in the databases, suggesting that most of the bacteria in Rainbow Bay are novel species. In particular, the clones related to the Acidobacterium subdivision and the Verrucomicrobium subdivision confirm the presence of novel taxa discovered previously in other molecular surveys of this type.     

Narrow hybrid zone between two subspecies of big sagebrush (ARTEMISIA TRIDENTATA: Asteraceae). IX. Elemental uptake and niche separation

The concentrations of selected elements and their biological absorption coefficients were determined for leaves from plants in native stands and reciprocal transplant gardens to determine whether niche differentiation occurs among the parental taxa and their hybrids in the big sagebrush hybrid zone in Utah. The bounded hybrid superiority model predicts such niche differentiation, while the ecologically neutral dynamic equilibrium model predicts complete niche overlap, at least in the vicinity of the hybrid zone. The concentrations of elements in the leaves of site-indigenous sagebrush and the biological absorption coefficients differed significantly between the subspecies and between either parental taxon and hybrids. Within reciprocal transplant gardens, both the elemental concentrations and the biological absorption coefficients differed among the gardens and taxa. Significant genotype-by-environment interactions were observed for several essential elements. Niche differentiation was evident as correspondence analyses ordinated the parental taxa and hybrids into separate groups even when raised in the same garden. These findings support the ecologically based bounded hybrid superiority model and suggest that the big sagebrush parental taxa and their hybrids have adapted to their respective unique habitats.     

Functional relatedness in the Inv/Mxi‐Spa type III secretion system family

Type III Secretion Systems (T3SSs) are structurally conserved nanomachines that span the inner and outer bacterial membranes, and via a protruding needle complex contact host cell membranes and deliver type III effector proteins. T3SS are phylogenetically divided into several families based on structural basal body components. Here we have studied the evolutionary and functional conservation of four T3SS proteins from the Inv/Mxi‐Spa family: a cytosolic chaperone, two hydrophobic translocators that form a plasma membrane‐integral pore, and the hydrophilic ‘tip complex’ translocator that connects the T3SS needle to the translocon pore. Salmonella enterica serovar Typhimurium (S. Typhimurium), a common cause of food‐borne gastroenteritis, possesses two T3SSs, one belonging to the Inv/Mxi‐Spa family. We used invasion‐deficient S. Typhimurium mutants as surrogates for expression of translocator orthologs identified from an extensive phylogenetic analysis, and type III effector translocation and host cell invasion as a readout for complementation efficiency, and identified several Inv/Mxi‐Spa orthologs that can functionally substitute for the S. Typhimurium chaperone and translocator proteins. Functional complementation correlates with amino acid sequence identity between orthologs, but varies considerably between the four proteins. This is the first in‐depth survey of the functional interchangeability of Inv/Mxi‐Spa T3SS proteins acting directly at the host‐pathogen interface.     

Effects of S1 Cleavage on the Structure,Surface Export,and Signaling Activity of Human Notch1 and Notch2

Background

Notch receptors are normally cleaved during maturation by a furin-like protease at an extracellular site termed S1, creating a heterodimer of non-covalently associated subunits. The S1 site lies within a key negative regulatory region (NRR) of the receptor, which contains three highly conserved Lin12/Notch repeats and a heterodimerization domain (HD) that interact to prevent premature signaling in the absence of ligands. Because the role of S1 cleavage in Notch signaling remains unresolved, we investigated the effect of S1 cleavage on the structure, surface trafficking and ligand-mediated activation of human Notch1 and Notch2, as well as on ligand-independent activation of Notch1 by mutations found in human leukemia.

Principal Findings

The X-ray structure of the Notch1 NRR after furin cleavage shows little change when compared with that of an engineered Notch1 NRR lacking the S1-cleavage loop. Likewise, NMR studies of the Notch2 HD domain show that the loop containing the S1 site can be removed or cleaved without causing a substantial change in its structure. However, Notch1 and Notch2 receptors engineered to resist S1 cleavage exhibit unexpected differences in surface delivery and signaling competence: S1-resistant Notch1 receptors exhibit decreased, but detectable, surface expression and ligand-mediated receptor activation, whereas S1-resistant Notch2 receptors are fully competent for cell surface delivery and for activation by ligands. Variable dependence on S1 cleavage also extends to T-ALL-associated NRR mutations, as common class 1 mutations display variable decrements in ligand-independent activation when introduced into furin-resistant receptors, whereas a class 2 mutation exhibits increased signaling activity.

Conclusions/Significance

S1 cleavage has distinct effects on the surface expression of Notch1 and Notch2, but is not generally required for physiologic or pathophysiologic activation of Notch proteins. These findings are consistent with models for receptor activation in which ligand-binding or T-ALL-associated mutations lead to conformational changes of the NRR that permit metalloprotease cleavage.     

Robust dynamics of Amazon dieback to climate change with perturbed ecosystem model parameters

Climate change science is increasingly concerned with methods for managing and integrating sources of uncertainty from emission storylines, climate model projections, and ecosystem model parameterizations. In tropical ecosystems, regional climate projections and modeled ecosystem responses vary greatly, leading to a significant source of uncertainty in global biogeochemical accounting and possible future climate feedbacks. Here, we combine an ensemble of IPCC‐AR4 climate change projections for the Amazon Basin (eight general circulation models) with alternative ecosystem parameter sets for the dynamic global vegetation model, LPJmL. We evaluate LPJmL simulations of carbon stocks and fluxes against flux tower and aboveground biomass datasets for individual sites and the entire basin. Variability in LPJmL model sensitivity to future climate change is primarily related to light and water limitations through biochemical and water‐balance‐related parameters. Temperature‐dependent parameters related to plant respiration and photosynthesis appear to be less important than vegetation dynamics (and their parameters) for determining the magnitude of ecosystem response to climate change. Variance partitioning approaches reveal that relationships between uncertainty from ecosystem dynamics and climate projections are dependent on geographic location and the targeted ecosystem process. Parameter uncertainty from the LPJmL model does not affect the trajectory of ecosystem response for a given climate change scenario and the primary source of uncertainty for Amazon ‘dieback’ results from the uncertainty among climate projections. Our approach for describing uncertainty is applicable for informing and prioritizing policy options related to mitigation and adaptation where long‐term investments are required.     

Proterozoic phytoplankton and timing of Chlorophyte algae origins

Abstract: Morphological and reproductive features and cell wall ultrastructure and biochemistry of Proterozoic acritarchs are used to determine their affinity to modern algae. The first appearance datum of these microbiota is traced to infer a minimum age of the divergence of the algal classes to which they may belong. The chronological appearance of microfossils that represent phycoma‐like and zygotic cysts and vegetative cells and/or aplanospores, respectively, interpreted as prasinophyceaen and chlorophyceaen microalgae is related to the Viridiplantae phylogeny. An inferred minimum age of the Chlorophyte origin is before c. 1800 Ma, the Prasinophyceae at c. 1650 Ma and the Chlorophyceae at c. 1450 Ma. These divergence times differ from molecular clock estimates, and the palaeontological evidence suggests that they are older.     

Bioinformatics Pipelines for Targeted Resequencing and Whole-Exome Sequencing of Human and Mouse Genomes: A Virtual Appliance Approach for Instant Deployment

Targeted resequencing by massively parallel sequencing has become an effective and affordable way to survey small to large portions of the genome for genetic variation. Despite the rapid development in open source software for analysis of such data, the practical implementation of these tools through construction of sequencing analysis pipelines still remains a challenging and laborious activity, and a major hurdle for many small research and clinical laboratories. We developed TREVA (Targeted REsequencing Virtual Appliance), making pre-built pipelines immediately available as a virtual appliance. Based on virtual machine technologies, TREVA is a solution for rapid and efficient deployment of complex bioinformatics pipelines to laboratories of all sizes, enabling reproducible results. The analyses that are supported in TREVA include: somatic and germline single-nucleotide and insertion/deletion variant calling, copy number analysis, and cohort-based analyses such as pathway and significantly mutated genes analyses. TREVA is flexible and easy to use, and can be customised by Linux-based extensions if required. TREVA can also be deployed on the cloud (cloud computing), enabling instant access without investment overheads for additional hardware. TREVA is available at http://bioinformatics.petermac.org/treva/.