The 'glass transition' in protein dynamics: what it is, why it occurs, and how to exploit it

All proteins undergo a dramatic change in their dynamical properties at approximately 200 K. Above this temperature, their dynamic behavior is dominated by large-scale collective motions of bonded and nonbonded groups of atoms. At lower temperatures, simple harmonic vibrations predominate. The transition has been described as a 'glass transition' to emphasize certain similarities between the change in dynamic behavior of individual protein molecules and the changes in viscosity and other properties of liquids when they form a glass. The glass transition may reflect the intrinsic temperature dependence of the motions of atoms in the protein itself, in the bound solvent on the surface of the protein, or it may reflect contributions from both. Protein function is significantly altered below this transition temperature; a fact that can be exploited to trap normally unstable intermediates in enzyme-catalyzed reactions and stabilize them for periods long enough to permit their characterization by high-resolution protein crystallography.     

Analysis of cell cycle activity and population dynamics in heterogeneous plant cell suspensions using flow cytometry

Flow cytometry was used to measure cell cycle parameters in Solanum aviculare plant cell suspensions. Methods for bromodeoxyuridine (BrdU) labeling of plant nuclei were developed so that cell cycle times and the proportion of cells participating in growth could be determined as a function of culture time and conditions. The percentage of cells active in the cell cycle at 25 degrees C decreased from 52% to 19% within 7.6 d of culture; presence of a relatively large proportion of non-active cells was reflected in the results for culture growth. While the maximum specific growth rate of the suspensions at 25 degrees C was 0.34 d-1 (doubling time: 2.0 d), the specific growth rate of active cells was significantly greater at 0.67 d-1, corresponding to a cell cycle time of 1.0 d. A simple model of culture growth based on exponential and linear growth kinetics and the assumption of constant cell cycle time was found to predict with reasonable accuracy the proportion of active cells in the population as a function of time. Reducing the temperature to 17 degrees C lowered the culture growth rate but prolonged the exponential growth phase compared with 25 degrees C; the percentage of cells participating in the cell cycle was also higher. Exposure of plant cells to different agitation intensities in shake flasks had a pronounced effect on the distribution of cells within the cell cycle. The proportion of cells in S phase was 1.8 times higher at a shaker speed of 160 rpm than at 100 rpm, while the frequency of G0 + G1 cells decreased by up to 27%. Because of the significant levels of intraculture heterogeneity in suspended plant cell systems, flow cytometry is of particular value in characterizing culture properties and behavior.     

Old drugs, new tricks: using genetically sensitized yeast to reveal drug targets

A study in this issue of Cell illustrates the power of applying genomic approaches with model systems to characterize the biological activity of small molecules and to identify their cellular targets, which can clarify the mode of action of human therapeutics.     

Some like it hot and some like it cold,but not too much: plant responses to climate extremes

Current climatic models predict increasing frequency and magnitude of extreme climatic events (ECEs). Ecological studies recognize the importance of these extremes as drivers of plant growth and mortality, as well as drivers of ecological and evolutionary processes. Here we review observational and experimental studies on ECEs on herbaceous plants and shrubs. Extreme events considered were heat waves, drought, advanced or delayed snowmelt, heavy rainfalls, frosts, pulsed watering and flooding. We analysed 39 studies dealing with direct response of plant to ECEs in different ecosystems, with a particular focus on cold ecosystems (alpine and arctic). Although the number of studies increases every year, the understanding of ecological consequences of ECEs is fragmentary. In general, ECEs affected negatively on physiological processes (efficiency of photosystem II, stomatal conductance and leaf water potential), productivity and reproduction, and had consequences on population demography and recruitment several years after ECE. Indeed, the plant responses to ECEs were species specific and depended on the plant life stage and the timing of ECE. In fact, the magnitude of the effect of ECEs decreased over the growing season. Drought had the most severe effect on plants, while heat waves had minor effect if water was available. The overlap of different ECEs had an additive effect (e.g. drought associated to heat-waves). In general, both neutral or positive plant responses were found and acclimation is possible. In some cases, ECEs exert a strong selective pressure on plant species.     

Filtering molecular dynamics trajectories to reveal low-frequency collective motions: phospholipase A2

A novel method for analysing molecular dynamics trajectories has been developed, which filters out high frequencies using digital signal processing techniques and facilitates focusing on the low-frequency collective motions of proteins. These motions involve low energy slow motions, which lead to important biological phenomena such as domain closure and allosteric effects in enzymes. The filtering method treats each of the atomic trajectories obtained from the molecular dynamics simulation as a "signal". The trajectories of each of the atoms in the system (or any subset of interest) are Fourier transformed to the frequency domain, a filtering function is applied and then an inverse transformation back to the time domain yields the filtered trajectory. The filtering method has been used to study the dynamics of the enzyme phospholipase A2. In the filtered trajectory, all the high frequency bond and valence angle vibrations were eliminated, leaving only low-frequency motion, mainly fluctuations in torsions and conformational transitions. Analysis of this trajectory revealed interesting motions of the protein, including concerted movements of helices, and changes in shape of the active site cavity. Unlike normal mode analysis, which has been used to study the motion of proteins, this method does not require converged minimizations or diagonalization of a matrix of second derivatives. In addition, anharmonicity, multiple minima and conformational transitions are treated explicitly. Thus, the filtering method avoids most of the approximations implicit in other investigations of the dynamic behaviour of large systems.     

Swing it to the left, swing it to the right: enacting flexible spatial language using a neurodynamic framework

Research is continually expanding the empirical and theoretical picture of embodiment and dynamics in language. To date, however, a formalized neural dynamic framework for embodied linguistic processes has yet to emerge. To advance embodied theories of language, the present work develops a formalized neural dynamic framework of spatial language that explicitly integrates linguistic processes and dynamic sensory-motor systems. We then implement and test our spatial language architecture on a robotic platform continuously linked to real-time camera input. In a suite of tasks using everyday objects we demonstrate the framework’s capacity for both contextually-dependent behavioral flexibility and the seamless integration of spatial, non-spatial, and symbolic representations. To our knowledge this is the first unified, neurally-grounded architecture integrating these processes and behaviors.     

Molecular biology of the plant cell wall: searching for the genes that define structure,architecture and dynamics

Plant Molecular Biology -     

Wall extensibility: its nature, measurement and relationship to plant cell growth

Expansive growth of plant cells is controlled principally by processes that loosen the wall and enable it to expand irreversibly. The central role of wall relaxation for cell expansion is reviewed. The most common methods for assessing the extension properties of plant cell walls ( wall extensibility') are described, categorized and assessed critically. What emerges are three fundamentally different approaches which test growing cells for their ability (a) to enlarge at different values of turgor, (b) to induce wall relaxation, and (c) to deform elastically or plastically in response to an applied tensile force. Analogous methods with isolated walls are similarly reviewed. The results of these different assays are related to the nature of plant cell growth and pertinent biophysical theory. I argue that the extensibilities' measured by these assays are fundamentally different from one another and that some are more pertinent to growth than others.     

Application of imaging tools to plant cell culture: Relationship between plant cell aggregation and flavonoid production

Summary Image analysis tools were developed to measure biomass concentration, aggregate size and distribution, and pigmentation from anthocyanin-producing cell suspension cultures of ohelo (Vaccinium pahalae). The ex situ imaging system could image cell aggregates from 30 μm to 2 mm in diameter. The image analysis algorithm was based on extracted geometric features and morphological methods for biomass volume estimates, and hue, saturation, and intensity color characteristics for pigmentation estimates. Detailed information available from sampled cell culture images was validated by comparison to standard destructive manual measurements. Image analysis measurements revealed that pigment accumulation was negatively correlated with aggregate size. Although a substantial proportion of small aggregates remained colorless, the highly-pigmented small aggregates, 18 to 238 μm in breadth, contributed over 70% of the culture anthocyanin production (mg L⁻¹), despite their minor contribution to the overall biomass. The relative frequency of pigmented aggregates was higher in large-size aggregate classes; however, the pigmented sectors were mostly confined to only the periphery of the aggregates. As a result, large aggregate classes had only a minor contribution to overall culture anthocyanin yield.     

Redefining plant systems biology: from cell to ecosystem

Molecular biologists typically restrict systems biology to cellular levels. By contrast, ecologists define biological systems as communities of interacting individuals at different trophic levels that process energy, nutrient and information flows. Modern plant breeding needs to increase agricultural productivity while decreasing the ecological footprint. This requires a holistic systems biology approach that couples different aggregation levels while considering the variables that affect these biological systems from cell to community. The challenge is to generate accurate experimental data that can be used together with modelling concepts and techniques that allow experimentally verifying in silico predictions. The coupling of aggregation levels in plant sciences, termed Integral Quantification of Biological Organization (IQ(BiO)), might enhance our abilities to generate new desired plant phenotypes.