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Cellular glycosylation is characterized by chemical complexity and heterogeneity, which is challenging to reproduce synthetically. Here we show chemoenzymatic synthesis on phage to produce a genetically-encoded liquid glycan array (LiGA) of complex type N-glycans. Implementing the approach involved by ligating an azide-containing sialylglycosyl-asparagine to phage functionalized with 50–1000 copies of dibenzocyclooctyne. The resulting intermediate can be trimmed by glycosidases and extended by glycosyltransferases yielding a phage library with different N-glycans. Post-reaction analysis by MALDI-TOF MS allows rigorous characterization of N-glycan structure and mean density, which are both encoded in the phage DNA. Use of this LiGA with fifteen glycan-binding proteins, including CD22 or DC-SIGN on cells, reveals optimal structure/density combinations for recognition. Injection of the LiGA into mice identifies glycoconjugates with structures and avidity necessary for enrichment in specific organs. This work provides a quantitative evaluation of the interaction of complex N-glycans with GBPs in vitro and in vivo. Cellular glycosylation is complex and heterogeneous, which is challenging to reproduce synthetically. Here, the authors report on enzymatic remodelling of multivalent glycosylated bacteriophages to produce genetically encoded library of N-glycans which can be used to measure glycan-protein interactions with lectins on the surface of live cells and organs. [ABSTRACT FROM AUTHOR]

Green plants (Viridiplantae) include around 450,000–500,000 species1,2 of great diversity and have important roles in terrestrial and aquatic ecosystems. Here, as part of the One Thousand Plant Transcriptomes Initiative, we sequenced the vegetative transcriptomes of 1,124 species that span the diversity of plants in a broad sense (Archaeplastida), including green plants (Viridiplantae), glaucophytes (Glaucophyta) and red algae (Rhodophyta). Our analysis provides a robust phylogenomic framework for examining the evolution of green plants. Most inferred species relationships are well supported across multiple species tree and supermatrix analyses, but discordance among plastid and nuclear gene trees at a few important nodes highlights the complexity of plant genome evolution, including polyploidy, periods of rapid speciation, and extinction. Incomplete sorting of ancestral variation, polyploidization and massive expansions of gene families punctuate the evolutionary history of green plants. Notably, we find that large expansions of gene families preceded the origins of green plants, land plants and vascular plants, whereas whole-genome duplications are inferred to have occurred repeatedly throughout the evolution of flowering plants and ferns. The increasing availability of high-quality plant genome sequences and advances in functional genomics are enabling research on genome evolution across the green tree of life. The One Thousand Plant Transcriptomes Initiative provides a robust phylogenomic framework for examining green plant evolution that comprises the transcriptomes and genomes of diverse species of green plants. [ABSTRACT FROM AUTHOR]

Optogenetic tools enable examination of how specific cell types contribute to brain circuit functions. A long-standing question is whether it is possible to independently activate two distinct neural populations in mammalian brain tissue. Such a capability would enable the study of how different synapses or pathways interact to encode information in the brain. Here we describe two channelrhodopsins, Chronos and Chrimson, discovered through sequencing and physiological characterization of opsins from over 100 species of alga. Chrimson's excitation spectrum is red shifted by 45 nm relative to previous channelrhodopsins and can enable experiments in which red light is preferred. We show minimal visual system-mediated behavioral interference when using Chrimson in neurobehavioral studies in Drosophila melanogaster. Chronos has faster kinetics than previous channelrhodopsins yet is effectively more light sensitive. Together these two reagents enable two-color activation of neural spiking and downstream synaptic transmission in independent neural populations without detectable cross-talk in mouse brain slice. [ABSTRACT FROM AUTHOR]

Purpose: To explore possible ways in which yew tree tubulin is naturally resistant to paclitaxel. While the yew produces a potent cytotoxin, paclitaxel, it is immune to paclitaxel's cytotoxic action. Methods: Tubulin sequence data for plant species were obtained from Alberta 1000 Plants Initiative. Sequences were assembled with Trinity de novo assembly program and tubulin identified. Homology modeling using MODELLER software was done to generate structures for yew tubulin. Molecular dynamics simulations and molecular mechanics Poisson-Boltzmann calculations were performed with the Amber package to determine binding affinity of paclitaxel to yew tubulin. ClustalW2 program and PHYLIP package were used to perform phylogenetic analysis on plant tubulin sequences. Results: We specifically analyzed several important regions in tubulin structure: the high-affinity paclitaxel binding site, as well as the intermediate binding site and microtubule nanopores. Our analysis indicates that the high-affinity binding site contains several substitutions compared to human tubulin, all of which reduce the binding energy of paclitaxel. Conclusions: The yew has achieved a significant reduction of paclitaxel's affinity for its tubulin by utilizing several specific residue changes in the binding pocket for paclitaxel. [ABSTRACT FROM AUTHOR]

Correlating the experimentally observed kinetics of protein conformational changes with theoretical predictions is a formidable and challenging task, due to the multitude of degrees of freedom (>5,000) in a protein and the huge gap between the timescale of the kinetic event of interest (ms) and the typical timescale of computer simulations (ns). In this study we show that using the targeted molecular dynamics (TMD) method it is possible to simulate conformational changes of the ms time range and to correlate multiple simulations of single pathways with ensemble experiments on both the structural and energetic basis. As a model system we chose to study the conformational change of rat-Δα-chymotrypsin from its inactive to its active conformation. This activation process has been analyzed previously by experimental and theoretical methods, i.e. fluorescence stopped-flow spectroscopy (FSF), molecular dynamics (MD) and TMD. Inspired by the results of these studies on the wild type (WT) enzyme, several mutants were constructed to alter the conformational pathway and studied by FSF measurements. In the present work WT and mutant N18G were subjected to multiple MD and subsequent TMD simulations. We report the existence of two main activation pathways, a feature of chymotrypsin activation that has been hitherto unknown. A method to correlate the energetics of the different pathways calculated by TMD and the kinetic parameters observed by experimental methods such as FSF is presented. Our work is relevant for experimental single molecule studies of enzymes in general. [ABSTRACT FROM AUTHOR]

Using comparative modeling, we have generated structural models of 475 α and β tubulins. Using these models, we observed a global, structural similarity between the tubulin isotypes. However, a number of subtle differences in the isotypes physical properties, including net electric charges, solvent accessible surface areas, and electric dipole moments were also apparent. In order to examine the roles that these properties may play in microtubule (MT) assembly and stability, we have created a model to evaluate the dipole–dipole interaction energies of varying MT lattice conformations, using human tubulin isotypes as particularly important examples. We conclude that the dipole moments of each tubulin isotype may influence their functional characteristics within the cell, resulting in differences for MT assembly kinetics and stability. [ABSTRACT FROM AUTHOR]

An addendum to the article "Independent Optical Excitation of Distinct Neural Populations" that was published in the August 28, 2014 issue is presented.

A correction to the article "Independent Optical Excitation of Distinct Neural Populations" that was published in the August 28, 2014 issue is presented.