The trafficking of the cellulose synthase complex in higher plants

Background

Cellulose is an important constituent of plant cell walls in a biological context, and is also a material commonly utilized by mankind in the pulp and paper, timber, textile and biofuel industries. The biosynthesis of cellulose in higher plants is a function of the cellulose synthase complex (CSC). The CSC, a large transmembrane complex containing multiple cellulose synthase proteins, is believed to be assembled in the Golgi apparatus, but is thought only to synthesize cellulose when it is localized at the plasma membrane, where CSCs synthesize and extrude cellulose directly into the plant cell wall. Therefore, the delivery and endocytosis of CSCs to and from the plasma membrane are important aspects for the regulation of cellulose biosynthesis.

Scope

Recent progress in the visualization of CSC dynamics in living plant cells has begun to reveal some of the routes and factors involved in CSC trafficking. This review highlights the most recent major findings related to CSC trafficking, provides novel perspectives on how CSC trafficking can influence the cell wall, and proposes potential avenues for future exploration.     

高等植物纤维素合成的最新研究进展

继１９９６年从棉花和水稻中克隆出β－葡糖基转移酶基因ｃｅｌ Ａ后，１９９８年又从拟南芥细胞壁突变体中鉴定出了ｃｅｌ Ａ的同源基因ＲＳＷ１。这两项研究充分表明，ｃｅｌ Ａ与高等植物的纤维素合成有关。ｃｅｌ类（ｃｅｌ Ａ－ｌｉｋｅ）超基因家族的蛋白质都具有与底物相结合和催化有关的保守功能域。纤维素离体合成方面的研究进展虽然揭示了包括纤维素在内的多糖生物合成机制的某些方面，但活体的纤维素合成还涉及许多其     

Analysis of gene expression data using self-organizing maps.

DNA microarray technologies together with rapidly increasing genomic sequence information is leading to an explosion in available gene expression data. Currently there is a great need for efficient methods to analyze and visualize these massive data sets. A self-organizing map (SOM) is an unsupervised neural network learning algorithm which has been successfully used for the analysis and organization of large data files. We have here applied the SOM algorithm to analyze published data of yeast gene expression and show that SOM is an excellent tool for the analysis and visualization of gene expression profiles.     

Structural details of crystalline cellulose from higher plants

It is commonly assumed that cellulose from higher plants contains the Ialpha and Ibeta crystalline allomorphs together with surface and disordered chains. For cellulose Ialpha, the evidence for its presence in higher plants is restricted to the C-4 signals in the solid-state (13)C NMR spectrum, which match those of crystalline cellulose Ialpha from algal sources. Algal cellulose Ialpha can be converted to the Ibeta form by high-temperature annealing. We used this approach to generate cellulose samples differing in Ibeta content from flax fibers and celery collenchyma, which respectively are representative of textile (secondary-wall) and primary-wall cellulose. It was then possible to isolate the detailed spectral contributions of the surface, Ibeta and Ialpha-like phases from linear combinations of the observed (13)C NMR and FTIR spectra. The (13)C NMR spectra resembled those of highly crystalline tunicate or algal cellulose Ibeta and Ialpha, with slight differences implying increased disorder and minor conformational discrepancies. The FTIR spectrum of the Ibeta form was closely similar to its more crystalline counterparts, but the FTIR spectrum of the Ialpha form was not. In addition to increased bandwith indicative of lower order, it showed substantial differences in the profile of hydroxyl stretching bands. These results confirm that higher plants synthesize cellulose Ibeta but show that the Ialpha-like chains, although conformationally quite similar to crystalline algal cellulose Ialpha, sit in a different hydrogen-bonding environment in higher plants. The differences are presumably occasioned by the small diameter of the crystallites and the influence of the crystallite surface on chain packing.     

Conformational features of crystal-surface cellulose from higher plants

Native cellulose in higher plants forms crystalline fibrils a few nm across, with a substantial fraction of their glucan chains at the surface. The accepted crystal structures feature a flat-ribbon 21 helical chain conformation with every glucose residue locked to the next by hydrogen bonds from O-3' to O-5 and from O-2 to O-6'. Using solid-state NMR spectroscopy we show that the surface chains have a different C-6 conformation so that O-6 is not in the correct position for the hydrogen bond from O-2. We also present evidence consistent with a model in which alternate glucosyl residues are transiently or permanently twisted away from the flat-ribbon conformation of the chain, weakening the O-3' - 0-5 hydrogen bond. Previous molecular modelling and the modelling studies reported here indicate that this 'translational' chain conformation is energetically feasible and does not preclude binding of the surface chains to the interior chains, because the surface chains share the axial repeat distance of the 21 helix. Reduced intramolecular hydrogen bonding allows the surface chains to form more hydrogen bonds to external molecules in textiles, wood, paper and the living plant.     

Developmental regulation of expression of the malate synthase gene in transgenic plants

The cucumber malate synthase (MS) gene, including 1856 bp of 5 non-trnascribed sequence, has been transferred into Petunia (Mitchell) and Nicotiana plumbaginifolia plants using an Agrobacterium binary vector. The transferred gene is found in variable copy number in different transformants, and is stably transmitted in each case as a single Mendelian character. Transgene mRNA accumulates in the seedling during the first three days of germination, then declines in amount as the cotyledons emerge from the seed. The decline is more pronounced in light-grown seedlings than in dark-grown seedlings. Expression of the MS transgene is also detected at a low level in petals of transformed Petunia plants. In these respects the pattern of MS gene expression is similar in cucumber and in trnasformed plants, showing that the transferred DNA fragment contains a functional MS gene. A 1076 bp fragment of 5 sequence was linked to the -glucuronidase reporter gene and transferred into Nicotiana, where it was shown to direct temporal and spatial patterns of expression similar to that of the complete MS gene. However, histochemical localisation of -glucuronidase activity demonstrated that the chimaeric gene is expressed not only in cotyledons of transgenic plants, but also in endosperm and some hypocotyl cells during early germination. The relevance of these findings to the control of malate synthase gene expression is discussed.     

The light-dependent regulation of gene expression during plastid development in higher plants

In recent years there has been a considerable increase in our understanding of the manner by which light affects gene expression during chloroplast development. In most systems that have been studied, light acts through sensitive photoreceptor molecules and quantitatively increases or represses the level of expression of specific nuclear-and plastid-encoded genes. Although the mechanisms are obscure, a picture is beginning to emerge in which the coordination of nuclear and plastid gene expression is controlled by regulatory mechanisms originating within their respective subcellular compartments. This review summarizes some of our current knowledge concerning the nature of light-regulated gene expression in higher plants and provides a prospectus for future research in this area.     

Firefly luciferase as a reporter of regulated gene expression in higher plants

The firefly luciferase, assayedin vivo with a low-light video camera, acts as a non-invasive, real-time reporter of the temporal and spatial regulation of gene expression in single plants. Furthermore, the sensitivity of the luciferase assay in extracts of transformed plant tissue makes it a particularly useful marker in transient or stable transformation experiments.     

The cellulose synthase superfamily in fully sequenced plants and algae

Background  

White lupin (Lupinus albus L.) roots efficiently take up and accumulate (heavy) metals, adapt to phosphate deficiency by forming cluster roots, and secrete antimicrobial prenylated isoflavones during development. Genomic and proteomic approaches were applied to identify candidate genes and proteins involved in antimicrobial defense and (heavy) metal uptake and translocation.     

The cellulose synthase superfamily in fully sequenced plants and algae

Background  

The cellulose synthase superfamily has been classified into nine cellulose synthase-like (Csl) families and one cellulose synthase (CesA) family. The Csl families have been proposed to be involved in the synthesis of the backbones of hemicelluloses of plant cell walls. With 17 plant and algal genomes fully sequenced, we sought to conduct a genome-wide and systematic investigation of this superfamily through in-depth phylogenetic analyses.     

Computational strategies for analyzing data in gene expression microarray experiments

Microarray analysis has become a widely used method for generating gene expression data on a genomic scale. Microarrays have been enthusiastically applied in many fields of biological research, even though several open questions remain about the analysis of such data. A wide range of approaches are available for computational analysis, but no general consensus exists as to standard for microarray data analysis protocol. Consequently, the choice of data analysis technique is a crucial element depending both on the data and on the goals of the experiment. Therefore, basic understanding of bioinformatics is required for optimal experimental design and meaningful interpretation of the results. This review summarizes some of the common themes in DNA microarray data analysis, including data normalization and detection of differential expression. Algorithms are demonstrated by analyzing cDNA microarray data from an experiment monitoring gene expression in T helper cells. Several computational biology strategies, along with their relative merits, are overviewed and potential areas for additional research discussed. The goal of the review is to provide a computational framework for applying and evaluating such bioinformatics strategies. Solid knowledge of microarray informatics contributes to the implementation of more efficient computational protocols for the given data obtained through microarray experiments.