Microtubule and katanin-dependent dynamics of microtubule nucleation complexes in the acentrosomal Arabidopsis cortical array

Microtubule nucleation in interphase plant cells primarily occurs through branching from pre-existing microtubules at dispersed sites in the cell cortex. The minus ends of new microtubules are often released from the sites of nucleation, and the free microtubules are then transported to new locations by polymer treadmilling. These nucleation-and-release events are characteristic features of plant arrays in interphase cells, but little is known about the spatiotemporal control of these events by nucleating protein complexes. We visualized the dynamics of two fluorescently-tagged γ-tubulin complex proteins, GCP2 and GCP3, in Arabidopsis thaliana. These probes labelled motile complexes in the cytosol that transiently stabilized at fixed locations in the cell cortex. Recruitment of labelled complexes occurred preferentially along existing cortical microtubules, from which new microtubule was synthesized in a branching manner, or in parallel to the existing microtubule. Complexes localized to microtubules were approximately 10-fold more likely to display nucleation than were complexes recruited to other locations. Nucleating complexes remained stable until daughter microtubules were either completely depolymerized from their plus ends or released by katanin-dependent severing activity. These observations suggest that the nucleation complexes are primarily activated on association with microtubule lattices, and that nucleation complex stability depends on association with daughter microtubules and is regulated in part by katanin activity.     

Microtubule cortical array organization and plant cell morphogenesis

Plant cell cortical microtubule arrays attain a high degree of order without the benefit of an organizing center such as a centrosome. New assays for molecular behaviors in living cells and gene discovery are yielding insight into the mechanisms by which acentrosomal microtubule arrays are created and organized, and how microtubule organization functions to modify cell form by regulating cellulose deposition. Surprising and potentially important behaviors of cortical microtubules include nucleation from the walls of established microtubules, and treadmilling-driven motility leading to polymer interaction, reorientation, and microtubule bundling. These behaviors suggest activities that can act to increase or decrease the local level of order in the array. The SPIRAL1 (SPR1) and SPR2 microtubule-localized proteins and the radial swollen 6 (rsw-6) locus are examples of new molecules and genes that affect both microtubule array organization and cell growth pattern. Functional tagging of cellulose synthase has now allowed the dynamic relationship between cortical microtubules and the cell-wall-synthesizing machinery to be visualized, providing direct evidence that cortical microtubules can organize cellulose synthase complexes and guide their movement through the plasma membrane as they create the cell wall.     

Establishment of polarity during organization of the acentrosomal plant cortical microtubule array

The plant cortical microtubule array is a unique acentrosomal array that is essential for plant morphogenesis. To understand how this array is organized, we exploited the microtubule (+)-end tracking activity of two Arabidopsis EB1 proteins in combination with FRAP (fluorescence recovery after photobleaching) experiments of GFP-tubulin to examine the relationship between cortical microtubule array organization and polarity. Significantly, our observations show that the majority of cortical microtubules in ordered arrays, within a particular cell, face the same direction in both Arabidopsis plants and cultured tobacco cells. We determined that this polar microtubule coalignment is at least partially due to a selective stabilization of microtubules, and not due to a change in microtubule polymerization rates. Finally, we show that polar microtubule coalignment occurs in conjunction with parallel grouping of cortical microtubules and that cortical array polarity is progressively enhanced during array organization. These observations reveal a novel aspect of plant cortical microtubule array organization and suggest that selective stabilization of dynamic cortical microtubules plays a predominant role in the self-organization of cortical arrays.     

Higher plant cortical microtubule array analyzed in vitro in the presence of the cell wall

Plant morphogenesis depends on an array of microtubules in the cell cortex, the cortical array. Although the cortical array is known to be essential for morphogenesis, it is not known how the array becomes organized or how it functions mechanistically. Here, we report the development of an in vitro model that provides good access to the cortical array while preserving the array's organization and, importantly, its association with the cell wall. Primary roots of maize (Zea mays) are sectioned, without fixation, in a drop of buffer and then incubated as desired before eventual fixation. Sectioning removes cytoplasm except for a residuum comprising cortical microtubules, vesicles, and fragments of plasma membrane underlying the microtubules. The majority of the cortical microtubules remain in the cut-open cells for more than 1 h, fully accessible to the incubation solution. The growth zone or more mature tissue can be sectioned, providing access to cortical arrays that are oriented either transversely or obliquely to the long axis of the root. Using this assay, we report, first, that cortical microtubule stability is regulated by protein phosphorylation; second, that cortical microtubule stability is a function of orientation, with divergent microtubules within the array depolymerizing within minutes of sectioning; and third, that the polarity of microtubules in the cortical array is not uniform. These results suggest that the organization of the cortical array involves random nucleation followed by selective stabilization of microtubules formed at the appropriate orientation, and that the signal specifying alignment must treat orientations of +/- 180 degrees as equivalent.     

TONNEAU2/FASS regulates the geometry of microtubule nucleation and cortical array organization in interphase Arabidopsis cells

Organization of microtubules into ordered arrays involves spatial and temporal regulation of microtubule nucleation. Here, we show that acentrosomal microtubule nucleation in plant cells involves a previously unknown regulatory step that determines the geometry of microtubule nucleation. Dynamic imaging of interphase cortical microtubules revealed that the ratio of branching to in-bundle microtubule nucleation on cortical microtubules is regulated by the Arabidopsis thaliana B' subunit of protein phosphatase 2A, which is encoded by the TONNEAU2/FASS (TON2) gene. The probability of nucleation from γ-tubulin complexes localized at the cell cortex was not affected by a loss of TON2 function, suggesting a specific role of TON2 in regulating the nucleation geometry. Both loss of TON2 function and ectopic targeting of TON2 to the plasma membrane resulted in defects in cell shape, suggesting the importance of TON2-mediated regulation of the microtubule cytoskeleton in cell morphogenesis. Loss of TON2 function also resulted in an inability for cortical arrays to reorient in response to light stimulus, suggesting an essential role for TON2 and microtubule branching nucleation in reorganization of microtubule arrays. Our data establish TON2 as a regulator of interphase microtubule nucleation and provide experimental evidence for a novel regulatory step in the process of microtubule-dependent nucleation.     

Cooperative self-organization of afferent and lateral connections in cortical maps

A self-organizing neural network model called LISSOM for the synergetic development of afferent and lateral connections in cortical feature maps is presented. The weight adaptation process is purely activity-dependent, unsupervised, and local. The afferent input weights self-organize into a topological map of the input space. At the same time, the lateral interconnection weights adapt, and a unique lateral interaction profile develops for each neuron. Weak lateral connections die off, leaving a pattern of connections that represents the significant long-term correlations of activity on the feature map. LISSOM demonstrates how self-organization can bootstrap based on input information only, without global supervision or predetermined lateral interaction. The model gives rise to a nontopographically organized lateral connectivity similar to that observed in the mammalian neocortex as illustrated by a LISSOM model of ocular dominance column formation in the primary visual cortex. In addition, LISSOM can potentially account for the development of multiple maps of different modalities on the same undifferentiated cortical architecture. Received: 12 May 1993/Accepted in revised form: 22 September 1993     

Fast cortical selection: a principle of neuronal self-organization for perception?

 It is commonly accepted that larger visual objects are represented in the cerebral cortex by specific spatial patterns of neuronal activity. Self-organization is a key concept in the different explanations of such neuronal representations. We here propose as a hypothesis that fast cortical selection (FCS) is an intrinsic functional element of cortical self-organization during perception. Selection is a central concept in theoretical biology which has proved its explanatory power in different fields of our natural and cultural world. The central element in the cortical selection process is the pyramidal cell with its two types of excitatory input. In primary cortical areas one of these inputs comes from any of the sensory organs, determining the topological and typological receptive field properties of the cell and also driving it directly. The other type of input connects reciprocally neighbouring pyramidal cells by axon collaterals and only facilitates the driving input. These two functionally different inputs constitute the elementary selection system working by iterative mutual facilitation as a biological algorithm. A short simulation, based entirely on such biological facts, illustrates the dynamic of this selection process: the activity of cells responding better to the external stimulus ‘grow and survive’ the stimulation, whereas less responsive cells decrease their activity due to competition. Received: 13 June 1995 / Accepted in revised form: 27 May 1997     

A neural network model for the self-organization of cortical grating cells

A neural network model with incremental Hebbian learning of afferent and lateral synaptic couplings is proposed,which simulates the activity-dependent self-organization of grating cells in upper layers of striate cortex. These cells, found in areas V1 and V2 of the visual cortex of monkeys, respond vigorously and exclusively to bar gratings of a preferred orientation and periodicity. Response behavior to varying contrast and to an increasing number of bars in the grating show threshold and saturation effects. Their location with respect to the underlying orientation map and their nonlinear response behavior are investigated. The number of emerging grating cells is controlled in the model by the range and strength of the lateral coupling structure.     

Microtubule-dependent microtubule nucleation in plant cells

Regulation of microtubule nucleation sites is an essential step in microtubule organization. Cortical microtubule arrays in green plant cells at inter-phase are organized in a distinct manner—the array is formed in the absence of previously recognized organelles for microtubule nucleation, for example the centrosome and spindle pole body. Microtubules in the cortical array were recently found to be nucleated as branches on pre-existing microtubules via recruitment of cytosolic γ-tubulin. In this review we briefly summarize the mechanism of microtubule-dependent microtubule nucleation and discuss a possible role of this mechanism in other cellular processes and their evolution.     

Microinjection of fluorescent tubulin into plant cells provides a representative picture of the cortical microtubule array

By microinjecting rhodamine-labelled tubulin into living plant cells, it is possible to observe microtubules (MTs) directly and to see how the cortical array reorganizes itself. The validity of the conclusions drawn from such observations depends upon the assumption that most, if not all, of the native MTs are dynamic and incorporate labelled tubulin. However, if arrays also contain MTs that are not exchanging tubulin subunits, such MTs will remain unlabelled, and the labelled MT population will be under-representative of the whole array. To address this potential problem, we microinjected pea epidermal cells with rhodamine-labelled tubulin, then fixed the cells and used fluorescein-conjugated antibodies against tubulin to detect the entire MT array. The two fluorescent patterns corresponded well, confirming that the MTs labelled with exogenous tubulin were evenly distributed throughout the entire array. Also, by comparing the MT image before and after aldehyde fixation, we observed that, although some of the MTs were lost in the procedure, the fixation was able to preserve the arrangement of MTs seen in the living cell. We conclude that fluorescence analogue cytochemistry provides a valid representation of the entire cortical MT array.     

Insulin fibril nucleation: the role of prefibrillar aggregates

Dynamic light scattering and Fourier transform infrared spectroscopy were used to study the formation of prefibrillar aggregates and fibrils of bovine pancreatic insulin at 60°C and at pH 1. The kinetics of disintegration of the prefibrillar aggregates were also studied using these techniques after a quench to 25°C. These experiments reveal that formation of prefibrillar aggregates is reversible under the solution conditions studied and show that it is possible to significantly reduce the nucleation (lag) times associated with the onset of fibril growth in bovine pancreatic insulin solutions by increasing the concentration of prefibrillar aggregates in solution. These results provide convincing evidence that less structured prefibrillar aggregates can act as fibril-forming intermediates.     

Shedding light on plant litter decomposition: advances, implications and new directions in understanding the role of photodegradation

Litter decomposition contributes to one of the largest fluxes of carbon (C) in the terrestrial biosphere and is a primary control on nutrient cycling. The inability of models using climate and litter chemistry to predict decomposition in dry environments has stimulated investigation of non-traditional drivers of decomposition, including photodegradation, the abiotic decomposition of organic matter via exposure to solar radiation. Recent work in this developing field shows that photodegradation may substantially influence terrestrial C fluxes, including abiotic production of carbon dioxide, carbon monoxide and methane, especially in arid and semi-arid regions. Research has also produced contradictory results regarding controls on photodegradation. Here we summarize the state of knowledge about the role of photodegradation in litter decomposition and C cycling and investigate drivers of photodegradation across experiments using a meta-analysis. Overall, increasing litter exposure to solar radiation increased mass loss by 23% with large variation in photodegradation rates among and within ecosystems. This variation was tied to both litter and environmental characteristics. Photodegradation increased with litter C to nitrogen (N) ratio, but not with lignin content, suggesting that we do not yet fully understand the underlying mechanisms. Photodegradation also increased with factors that increased solar radiation exposure (latitude and litter area to mass ratio) and decreased with mean annual precipitation. The impact of photodegradation on C (and potentially N) cycling fundamentally reshapes our thinking of decomposition as a solely biological process and requires that we define the mechanisms driving photodegradation before we can accurately represent photodegradation in global C and N models.     

Ice nucleation in nature: supercooling point (SCP) measurements and the role of heterogeneous nucleation

In biological systems, nucleation of ice from a supercooled aqueous solution is a stochastic process and always heterogeneous. The average time any solution may remain supercooled is determined only by the degree of supercooling and heterogeneous nucleation sites it encounters. Here we summarize the many and varied definitions of the so-called "supercooling point," also called the "temperature of crystallization" and the "nucleation temperature," and exhibit the natural, inherent width associated with this quantity. We describe a new method for accurate determination of the supercooling point, which takes into account the inherent statistical fluctuations of the value. We show further that many measurements on a single unchanging sample are required to make a statistically valid measure of the supercooling point. This raises an interesting difference in circumstances where such repeat measurements are inconvenient, or impossible, for example for live organism experiments. We also discuss the effect of solutes on this temperature of nucleation. Existing data appear to show that various solute species decrease the nucleation temperature somewhat more than the equivalent melting point depression. For non-ionic solutes the species appears not to be a significant factor whereas for ions the species does affect the level of decrease of the nucleation temperature.     

Future directions in plant hormone research

Future directions in plant hormone research are discussed, with particular reference to the regulation of hormone biosynthesis, hormone perception, and signal transduction.     

Promising directions in plant phenotypic plasticity

A research agenda for the next phase of plasticity studies calls for contributions from a diverse group of biologists, working both independently and collaboratively, to pursue four promising directions: examining dynamic, anatomical/architectural, and cross-generational plasticity along with simpler growth traits; carefully assessing the adaptive significance of those plasticity patterns; investigating the intricate transduction pathways that lead from environmental signal to phenotypic response; and considering the rich environmental context of natural systems. Progress in these areas will allow us to address broad and timely questions regarding the ecological and evolutionary significance of plasticity and the nature of phenotypic determination.     

Factors affecting ice nucleation in plant tissues

Factors affecting the ice nucleation temperature of plants and plant tissues were examined. The mass of a sample had a marked effect on ice nucleation temperature. Small tissue samples supercooled to −10°C and were not accurate predictors of the nucleation temperature of intact plants in either laboratory or field experiments. This effect was not unique to plant tissues and was observed in autoclaved and control soil samples. Ice nucleation temperatures of bean, corn, cotton, and soybean seedlings were influenced by the length of subzero exposure, presence of ice nucleation active bacteria, and leaf surface wetness. The number of factors influencing ice nucleation temperature suggested that predicting the freezing behavior of plants in the field will be complex.     

The role of constrained self-organization in genome structural evolution

A hypothesis of genome structural evolution is explored. Rapid and cohesive alterations in genome organization are viewed as resulting from the dynamic and constrained interactions of chromosomal subsystem components. A combination of macromolecular boundary conditions and DNA element involvement in far-from-equilibrium reactions is proposed to increase the complexity of genomic subsystems via the channelling of genome turnover; interactions between subsystems create higher-order subsystems expanding the phase space for further genetic evolution. The operation of generic constraints on structuration in genome evolution is suggested by i) universal, homoplasic features of chromosome organization and ii) the metastable nature of genome structures where lower-level flux is constrained by higher-order structures. Phenomena such as genomic shock, bursts of transposable element activity, concerted evolution, etc., are hypothesized to result from constrained systemic responses to endogenous/exogenous, micro/macro perturbations. The constraints operating on genome turnover are expected to increase with chromosomal structural complexity, the number of interacting subsystems, and the degree to which interactions between genomic components are tightly ordered.