Integrative Approaches for the Identification and Localization of Specialized Metabolites in Tripterygium Roots

Members of the genus Tripterygium are known to contain an astonishing diversity of specialized metabolites. The lack of authentic standards has been an impediment to the rapid identification of such metabolites in extracts. We employed an approach that involves the searching of multiple, complementary chromatographic and spectroscopic data sets against the Spektraris database to speed up the metabolite identification process. Mass spectrometry-based imaging indicated a differential localization of triterpenoids to the periderm and sesquiterpene alkaloids to the cortex layer of Tripterygium roots. We further provide evidence that triterpenoids are accumulated to high levels in cells that contain suberized cell walls, which might indicate a mechanism for storage. To our knowledge, our data provide first insights into the cell type specificity of metabolite accumulation in Tripterygium and set the stage for furthering our understanding of the biological implications of specialized metabolites in this genus.

Misexpression of the Niemann-Pick disease type C1 (NPC1)-like protein in Arabidopsis causes sphingolipid accumulation and reproductive defects

Misexpression of the AtNPC1 - 1 and AtNPC1 - 2 genes leads to altered sphingolipid metabolism, growth impairment, and male reproductive defects in a hemizygous Arabidopsis thaliana (L.) double-mutant population. Abolishing the expression of both gene copies has lethal effects. Niemann-Pick disease type C1 is a lysosomal storage disorder caused by mutations in the NPC1 gene. At the cellular level, the disorder is characterized by the accumulation of storage lipids and lipid trafficking defects. The Arabidopsis thaliana genome contains two genes (At1g42470 and At4g38350) with weak homology to mammalian NPC1. The corresponding proteins have 11 predicted membrane-spanning regions and contain a putative sterol-sensing domain. The At1g42470 protein is localized to the plasma membrane, while At4g38350 protein has a dual localization in the plasma and tonoplast membranes. A phenotypic analysis of T-DNA insertion mutants indicated that At1g42470 and At4g38350 (designated AtNPC1-1 and AtNPC1-2, respectively) have partially redundant functions and are essential for plant reproductive viability and development. Homozygous plants impaired in the expression of both genes were not recoverable. Plants of a hemizygous AtNPC1-1/atnpc1-1/atnpc1-2/atnpc1-2 population were severely dwarfed and exhibited male gametophytic defects. These gene disruptions did not have an effect on sterol concentrations; however, hemizygous AtNPC1-1/atnpc1-1/atnpc1-2/atnpc1-2 mutants had increased fatty acid amounts. Among these, fatty acid α-hydroxytetracosanoic acid (h24:0) occurs in plant sphingolipids. Follow-up analyses confirmed the accumulation of significantly increased levels of sphingolipids (assayed as hydrolyzed sphingoid base component) in the hemizygous double-mutant population. Certain effects of NPC1 misexpression may be common across divergent lineages of eukaryotes (sphingolipid accumulation), while other defects (sterol accumulation) may occur only in certain groups of eukaryotic organisms.

NMR spectroscopic search module for Spektraris, an online resource for plant natural product identification--Taxane diterpenoids from Taxus × media cell suspension cultures as a case study

Development and testing of Spektraris-NMR, an online spectral resource, is reported for the NMR-based structural identification of plant natural products (PNPs). Spektraris-NMR allows users to search with multiple spectra at once and returns a table with a list of hits arranged according to the goodness of fit between query data and database entries. For each hit, a link to a tabulated alignment of (1)H NMR and (13)C NMR spectroscopic peaks (query versus database entry) is provided. Furthermore, full spectroscopic records and experimental meta information about each database entry can be accessed online. To test the utility of Spektraris-NMR for PNP identification, the database was populated with NMR data (total of 466 spectra) for ∼ 250 taxanes, which are structurally complex diterpenoids (including the anticancer drug taxol) commonly found in the genus Taxus. NMR data generated with metabolites purified from Taxus cell suspension cultures were then used to search Spektraris-NMR, and enabled the identification of eight taxanes with high confidence. A ninth isolated metabolite could be assigned, based on spectral searches, to a taxane skeletal class, but no high confidence hit was produced. Using various spectroscopic methods, this metabolite was characterized as 2-deacetylbaccatin IV, a novel taxane. These results indicate that Spektraris-NMR is a valuable resource for rapid and reliable identification of known metabolites and has the potential to contribute to de-replication efforts in novel PNP discovery.

Biosynthesis of sesquiterpenes in grape berry exocarp of Vitis vinifera L.: evidence for a transport of farnesyl diphosphate precursors from plastids to the cytosol

The participation of the mevalonic acid (MVA) and 1-deoxy-d-xylulose 5-phosphate/2-C-methyl-d-erythritol-4-phosphate (DOXP/MEP) pathways in sesquiterpene biosynthesis of grape berries was investigated. There is an increasing interest in this class of terpenoids, since the oxygenated sesquiterpene rotundone was identified as the peppery aroma impact compound in Australian Shiraz wines. To investigate precursor supply pathway utilization, in vivo feeding experiments were performed with the deuterium labeled, pathway specific, precursors [5,5-(2)H2]-1-deoxy-d-xylulose and [5,5-(2)H2]-mevalonic acid lactone. Head Space-Solid Phase Micro Extraction-Gas Chromatography-Mass Spectrometry (HS-SPME-GC-MS) analysis of the generated volatile metabolites demonstrated that de novo sesquiterpene biosynthesis is mainly located in the grape berry exocarp (skin), with no detectable activity in the mesocarp (flesh) of the Lemberger variety. Interestingly, precursors from both the (primarily) cytosolic MVA and plastidial DOXP/MEP pathways were incorporated into grape sesquiterpenes in the varieties Lemberger, Gewürztraminer and Syrah. Our labeling data provide evidence for a homogenous, cytosolic pool of precursors for sesquiterpene biosynthesis, indicating that a transport of precursors occurs mostly from plastids to the cytosol. The labeling patterns of the sesquiterpene germacrene D were in agreement with a cyclization mechanism analogous to that of a previously cloned enantioselective (R)-germacrene D synthase from Solidago canadensis. This observation was subsequently confirmed by enantioselective GC-MS analysis demonstrating the exclusive presence of (R)-germacrene D, and not the (S)-enantiomer, in grape berries.

Accurate mass-time tag library for LC/MS-based metabolite profiling of medicinal plants

We report the development and testing of an accurate mass-time (AMT) tag approach for the LC/MS-based identification of plant natural products (PNPs) in complex extracts. An AMT tag library was developed for approximately 500 PNPs with diverse chemical structures, detected in electrospray and atmospheric pressure chemical ionization modes (both positive and negative polarities). In addition, to enable peak annotations with high confidence, MS/MS spectra were acquired with three different fragmentation energies. The LC/MS and MS/MS data sets were integrated into online spectral search tools and repositories (Spektraris and MassBank), thus allowing users to interrogate their own data sets for the potential presence of PNPs. The utility of the AMT tag library approach is demonstrated by the detection and annotation of active principles in 27 different medicinal plant species with diverse chemical constituents.

Metabolic engineering of plant monoterpenes, sesquiterpenes and diterpenes--current status and future opportunities

Terpenoids (a.k.a. isoprenoids) represent the most diverse class of natural products found in plants, with tens of thousands of reported structures. Plant-derived terpenoids have a multitude of pharmaceutical and industrial applications, but the natural resources for their extraction are often limited and, in many cases, synthetic routes are not commercially viable. Some of the most valuable terpenoids are not accumulated in model plants or crops, and genetic resources for breeding of terpenoid natural product traits are thus poorly developed. At present, metabolic engineering, either in the native producer or a heterologous host, is the only realistic alternative to improve yield and accessibility. In this review article, we will evaluate the state of the art of modulating the biosynthetic pathways for the production of mono-, sesqui- and diterpenes in plants.

Terpenoid biosynthesis in trichomes--current status and future opportunities

Glandular trichomes are anatomical structures specialized for the synthesis of secreted natural products. In this review we focus on the description of glands that accumulate terpenoid essential oils and oleoresins. We also provide an in-depth account of the current knowledge about the biosynthesis of terpenoids and secretion mechanisms in the highly specialized secretory cells of glandular trichomes, and highlight the implications for metabolic engineering efforts.

Utility of metabolomics toward assessing the metabolic basis of quality traits in apple fruit with an emphasis on antioxidants

A gas chromatography-mass spectrometry approach was employed to evaluate the use of metabolite patterns to differentiate fruit from six commercially grown apple cultivars harvested in 2008. Principal component analysis (PCA) of apple fruit peel and flesh data indicated that individual cultivar replicates clustered together and were separated from all other cultivar samples. An independent metabolomics investigation with fruit harvested in 2003 confirmed the separate clustering of fruit from different cultivars. Further evidence for cultivar separation was obtained using a hierarchical clustering analysis. An evaluation of PCA component loadings revealed specific metabolite classes that contributed the most to each principal component, whereas a correlation analysis demonstrated that specific metabolites correlate directly with quality traits such as antioxidant activity, total phenolics, and total anthocyanins, which are important parameters in the selection of breeding germplasm. These data sets lay the foundation for elucidating the metabolic basis of commercially important fruit quality traits.

Assessing the biosynthetic capabilities of secretory glands in Citrus peel

Epithelial cells (ECs) lining the secretory cavities of Citrus peel have been hypothesized to be responsible for the synthesis of essential oil, but direct evidence for such a role is currently sparse. We used laser-capture microdissection and pressure catapulting to isolate ECs and parenchyma cells (as controls not synthesizing oil) from the peel of young grapefruit (Citrus × paradisi 'Duncan'), isolated RNA, and evaluated transcript patterns based on oligonucleotide microarrays. A Gene Ontology analysis of these data sets indicated an enrichment of genes involved in the biosynthesis of volatile terpenoids and nonvolatile phenylpropanoids in ECs (when compared with parenchyma cells), thus indicating a significant metabolic specialization in this cell type. The gene expression patterns in ECs were consistent with the accumulation of the major essential oil constituents (monoterpenes, prenylated coumarins, and polymethoxylated flavonoids). Morphometric analyses demonstrated that secretory cavities are formed early during fruit development, whereas the expansion of cavities, and thus oil accumulation, correlates with later stages of fruit expansion. Our studies have laid the methodological and experimental groundwork for a vastly improved knowledge of the as yet poorly understood processes controlling essential oil biosynthesis in Citrus peel.

Experimental sink removal induces stress responses, including shifts in amino acid and phenylpropanoid metabolism, in soybean leaves

The repeated removal of flower, fruit, or vegetative buds is a common treatment to simulate sink limitation. These experiments usually lead to the accumulation of specific proteins, which are degraded during later stages of seed development, and have thus been designated as vegetative storage proteins. We used oligonucleotide microarrays to assess global effects of sink removal on gene expression patterns in soybean leaves and found an induction of the transcript levels of hundreds of genes with putative roles in the responses to biotic and abiotic stresses. In addition, these data sets indicated potential changes in amino acid and phenylpropanoid metabolism. As a response to sink removal we detected an induced accumulation of γ-aminobutyric acid, while proteinogenic amino acid levels decreased. We also observed a shift in phenylpropanoid metabolism with an increase in isoflavone levels, concomitant with a decrease in flavones and flavonols. Taken together, we provide evidence that sink removal leads to an up-regulation of stress responses in distant leaves, which needs to be considered as an unintended consequence of this experimental treatment.

Metabolomics as a Hypothesis-Generating Functional Genomics Tool for the Annotation of Arabidopsis thaliana Genes of "Unknown Function"

Metabolomics is the methodology that identifies and measures global pools of small molecules (of less than about 1,000 Da) of a biological sample, which are collectively called the metabolome. Metabolomics can therefore reveal the metabolic outcome of a genetic or environmental perturbation of a metabolic regulatory network, and thus provide insights into the structure and regulation of that network. Because of the chemical complexity of the metabolome and limitations associated with individual analytical platforms for determining the metabolome, it is currently difficult to capture the complete metabolome of an organism or tissue, which is in contrast to genomics and transcriptomics. This paper describes the analysis of Arabidopsis metabolomics data sets acquired by a consortium that includes five analytical laboratories, bioinformaticists, and biostatisticians, which aims to develop and validate metabolomics as a hypothesis-generating functional genomics tool. The consortium is determining the metabolomes of Arabidopsis T-DNA mutant stocks, grown in standardized controlled environment optimized to minimize environmental impacts on the metabolomes. Metabolomics data were generated with seven analytical platforms, and the combined data is being provided to the research community to formulate initial hypotheses about genes of unknown function (GUFs). A public database (www.PlantMetabolomics.org) has been developed to provide the scientific community with access to the data along with tools to allow for its interactive analysis. Exemplary datasets are discussed to validate the approach, which illustrate how initial hypotheses can be generated from the consortium-produced metabolomics data, integrated with prior knowledge to provide a testable hypothesis concerning the functionality of GUFs.

Soybean vegetative lipoxygenases are not vacuolar storage proteins

The paraveinal mesophyll (PVM) of soybean is a distinctive uniseriate layer of branched cells situated between the spongy and palisade chlorenchyma of leaves that contains an abundance of putative vegetative storage proteins, Vspα and Vspβ, in its vacuoles. Soybean vegetative lipoxygenases (five isozymes designated as Vlx(A-E)) have been reported to co-localise with Vsp in PVM vacuoles; however, conflicting results regarding the tissue-level and subcellular localisations of specific Vlx isozymes have been reported. We employed immuno-cytochemistry with affinity-purified, isozyme-specific antibodies to reinvestigate the subcellular locations of soybean Vlx isozymes during a sink limitation experiment. VlxB and VlxC were localised to the cytoplasm and nucleoplasm of PVM cells, whereas VlxD was present in the cytoplasm and nucleoplasm of mesophyll chlorenchyma (MC) cells. Label was not associated with storage vacuoles or any evident protein bodies, so our results cast doubt on the hypothesis that Vlx isozymes function as vegetative storage proteins.

PlantMetabolomics.org: a web portal for plant metabolomics experiments

PlantMetabolomics.org (PM) is a web portal and database for exploring, visualizing, and downloading plant metabolomics data. Widespread public access to well-annotated metabolomics datasets is essential for establishing metabolomics as a functional genomics tool. PM integrates metabolomics data generated from different analytical platforms from multiple laboratories along with the key visualization tools such as ratio and error plots. Visualization tools can quickly show how one condition compares to another and which analytical platforms show the largest changes. The database tries to capture a complete annotation of the experiment metadata along with the metabolite abundance databased on the evolving Metabolomics Standards Initiative. PM can be used as a platform for deriving hypotheses by enabling metabolomic comparisons between genetically unique Arabidopsis (Arabidopsis thaliana) populations subjected to different environmental conditions. Each metabolite is linked to relevant experimental data and information from various annotation databases. The portal also provides detailed protocols and tutorials on conducting plant metabolomics experiments to promote metabolomics in the community. PM currently houses Arabidopsis metabolomics data generated by a consortium of laboratories utilizing metabolomics to help elucidate the functions of uncharacterized genes. PM is publicly available at http://www.plantmetabolomics.org.

Mathematical modeling-guided evaluation of biochemical, developmental, environmental, and genotypic determinants of essential oil composition and yield in peppermint leaves

We have previously reported the use of a combination of computational simulations and targeted experiments to build a first generation mathematical model of peppermint (Menthaxpiperita) essential oil biosynthesis. Here, we report on the expansion of this approach to identify the key factors controlling monoterpenoid essential oil biosynthesis under adverse environmental conditions. We also investigated determinants of essential oil biosynthesis in transgenic peppermint lines with modulated essential oil profiles. A computational perturbation analysis, which was implemented to identify the variables that exert prominent control over the outputs of the model, indicated that the essential oil composition should be highly dependent on certain biosynthetic enzyme concentrations [(+)-pulegone reductase and (+)-menthofuran synthase], whereas oil yield should be particularly sensitive to the density and/or distribution of leaf glandular trichomes, the specialized anatomical structures responsible for the synthesis and storage of essential oils. A microscopic evaluation of leaf surfaces demonstrated that the final mature size of glandular trichomes was the same across all experiments. However, as predicted by the perturbation analysis, differences in the size distribution and the total number of glandular trichomes strongly correlated with differences in monoterpenoid essential oil yield. Building on various experimental data sets, appropriate mathematical functions were selected to approximate the dynamics of glandular trichome distribution/density and enzyme concentrations in our kinetic model. Based on a chi2 statistical analysis, simulated and measured essential oil profiles were in very good agreement, indicating that modeling is a valuable tool for guiding metabolic engineering efforts aimed at improving essential oil quality and quantity.

Abscisic acid-induced modulation of metabolic and redox control pathways in Arabidopsis thaliana

Abscisic acid (ABA) has been implicated as a mediator in plant responses to various environmental stresses. To evaluate the transcriptional and metabolic events downstream of ABA perception, Arabidopsis thaliana seedlings were analyzed by transcript and metabolite profiling, and results were integrated, using the recently developed BioPathAt tool, in the context of the biochemical pathways affected by this treatment. Besides the up-regulation of pathways related to the biosynthesis of compatible solutes (raffinose family oligosaccharides and certain amino acids) as a response to ABA treatment, we also observed a down-regulation of numerous genes putatively localized to and possibly involved in the reorganization of cell walls, an association that had not been recognized previously. Metabolite profiling indicated that specific antioxidants, particularly alpha-tocopherol and L-ascorbic acid, were accumulated at higher levels in ABA-treated seedlings compared to appropriate controls. The transcription of genes involved in alpha-tocopherol biosynthesis were coordinately up-regulated and appeared to be integrated into a network of reactions controlling the levels of reactive oxygen species. Based upon the observed gene expression patterns, these redox control mechanisms might involve an ABA-mediated transition of mitochondrial respiration to the alternative, non-phosphorylating respiratory chain mode. The presented data herein provide indirect evidence for crosstalk between metabolic pathways and pathways regulating redox homeostasis as a response to ABA treatment, and allowed us to identify candidate genes for follow-up studies to dissect this interaction at the biochemical and molecular level. Our results also indicate an intricate relationship, at the transcriptional and possibly post-transcriptional levels, between ABA biosynthesis, the xanthophyll cycle, and ascorbic acid recycling.

Metabolite profiling of Calvin cycle intermediates by HPLC-MS using mixed-mode stationary phases

SUMMARY

A sensitive and robust mixed-mode high performance liquid chromatography-tandem mass spectrometry method was developed for the qualitative and quantitative determination of sugar phosphates, which are notoriously difficult to separate using reversed-phase materials. Sugar phosphates were separated on a Primesep SB column by gradient elution using aqueous ammonium formate and acetonitrile as mobile phases. Target analytes were identified by their precursor/product ions and retention times. Quantitative analysis was performed in negative ionization/multiple reaction monitoring mode with five different time segments. The method was validated by spiking authentic sugar phosphate standards into complex plant tissue extracts. Standard curves of neat authentic standards and spiked extracts were generated for concentrations in the low picomole to nanomole range, with correlation coefficients of R(2) > 0.991, and the degree of ion suppression in the presence of a plant matrix was calculated for each analyte. Analyte recoveries, which were determined by including known quantities of authentic standards in the sugar phosphate extraction protocol, ranged from 40.0% to 57.4%. The analytical reproducibility was assessed by determining the coefficient of variance based on repeated extractions/measurements (<20%). The utility of our method is demonstrated with two types of applications: profiling of Calvin cycle intermediates in (i) dark-adapted and light-treated tobacco leaves, and in (ii) antisense plants expressing reduced levels of the Calvin cycle enzymes glyceraldehyde-3-phosphate dehydrogenase or ribulose-1,5-bisphosphate carboxylase/oxygenase (comparison with wild-type controls). The broader applicability of our method is illustrated by profiling sugar phosphates extracted from the leaves of five taxonomically diverse plants.

Transcriptional regulators of stamen development in Arabidopsis identified by transcriptional profiling

In Arabidopsis, jasmonate is required for stamen and pollen maturation. Mutants deficient in jasmonate synthesis, such as opr3, are male-sterile but become fertile when jasmonate is applied to developing flower buds. We have used ATH1 oligonucleotide arrays to follow gene expression in opr3 stamens for 22 h following jasmonate treatment. In these experiments, a total of 821 genes were specifically induced by jasmonate and 480 genes were repressed. Comparisons with data from previous studies indicate that these genes constitute a stamen-specific jasmonate transcriptome, with a large proportion (70%) of the genes expressed in the sporophytic tissue but not in the pollen. Bioinformatics tools allowed us to associate many of the induced genes with metabolic pathways that are probably upregulated during jasmonate-induced maturation. Our pathway analysis led to the identification of specific genes within larger families of homologues that apparently encode stamen-specific isozymes. Extensive additional analysis of our dataset identified 13 transcription factors that may be key regulators of the stamen maturation processes triggered by jasmonate. Two of these transcription factors, MYB21 and MYB24, are the only members of subgroup 19 of the R2R3 family of MYB proteins. A myb21 mutant obtained by reverse genetics exhibited shorter anther filaments, delayed anther dehiscence and greatly reduced male fertility. A myb24 mutant was phenotypically wild-type, but production of a myb21myb24 double mutant indicated that introduction of the myb24 mutation exacerbated all three aspects of the myb21 phenotype. Exogenous jasmonate could not restore fertility to myb21 or myb21myb24 mutant plants. Together with the data from transcriptional profiling, these results indicate that MYB21 and MYB24 are induced by jasmonate and mediate important aspects of the jasmonate response during stamen development.

Integrative analysis of metabolic networks: from peaks to flux models?

Recent developments in genomic and post-genomic technologies have led to the amassment of data describing genome sequences, transcript, protein and metabolite abundances, protein modifications, and protein-protein and protein-DNA interactions. Such technologies have vastly expanded the inventory of detectable molecular species and can be used to describe their interdependence, but they have yet to fulfill their promise in enhancing our knowledge of how flux through metabolic pathways is regulated. A convergence of traditional reductionistic and novel holistic experimental approaches could aid in elucidating flux control.

Integrative analysis of transcript and metabolite profiling data sets to evaluate the regulation of biochemical pathways during photomorphogenesis

One of the key developmental processes during photomorphogenesis is the differentiation of prolamellar bodies of proplastids into thylakoid membranes containing the photosynthetic pigment-protein complexes of chloroplasts. To study the regulatory events controlling pigment-protein complex assembly, including the biosynthesis of metabolic precursors and pigment end products, etiolated Arabidopsis thaliana seedlings were irradiated with continuous red light (Rc), which led to rapid greening, or continuous far-red light (FRc), which did not result in visible greening, and subjected to analysis by oligonucleotide microarrays and targeted metabolite profiling. An analysis using BioPathAt, a bioinformatic tool that allows the visualization of post-genomic data sets directly on biochemical pathway maps, indicated that in Rc-treated seedlings mRNA expression and metabolite patterns were tightly correlated (e.g., Calvin cycle, biosynthesis of chlorophylls, carotenoids, isoprenoid quinones, thylakoid lipids, sterols, and amino acids). K-means clustering revealed that gene expression patterns across various biochemical pathways were very similar in Rc- and FRc-treated seedlings (despite the visible phenotypic differences), whereas a principal component analysis of metabolite pools allowed a clear distinction between both treatments (in accordance with the visible phenotype). Our results illustrate the general importance of integrative approaches to correlate post-genomic data sets with phenotypic outcomes.

Single-cell genomics

The evolution of higher plants depended on the ability of cells to express hereditary information in many different ways and led to the development of specialized cell types, reflecting an elaborate system of control over gene expression in the individual component cells of various tissues. Bulk tissue sampling results in the loss of spatial resolution, and recent efforts have been directed toward improving access to specialized cell types in plants. Access to the contents of individual cells followed by analyses using post-genomic technologies promise to revolutionize our understanding of the differentiation of specialized cell types, and to enable downstream applications aimed at harnessing their unique biochemical properties.

A proposed framework for the description of plant metabolomics experiments and their results

The study of the metabolite complement of biological samples, known as metabolomics, is creating large amounts of data, and support for handling these data sets is required to facilitate meaningful analyses that will answer biological questions. We present a data model for plant metabolomics known as ArMet (architecture for metabolomics). It encompasses the entire experimental time line from experiment definition and description of biological source material, through sample growth and preparation to the results of chemical analysis. Such formal data descriptions, which specify the full experimental context, enable principled comparison of data sets, allow proper interpretation of experimental results, permit the repetition of experiments and provide a basis for the design of systems for data storage and transmission. The current design and example implementations are freely available (http://www.armet.org/). We seek to advance discussion and community adoption of a standard for metabolomics, which would promote principled collection, storage and transmission of experiment data.

Comprehensive post-genomic data analysis approaches integrating biochemical pathway maps

Post-genomic era research is focusing on studies to attribute functions to genes and their encoded proteins, and to describe the regulatory networks controlling metabolic, protein synthesis and signal transduction pathways. To facilitate the analysis of experiments using post-genomic technologies, new concepts for linking the vast amount of raw data to a biological context have to be developed. Visual representations of pathways help biologists to understand the complex relationships between components of metabolic networks, and provide an invaluable resource for the integration of transcriptomics, proteomics and metabolomics data sets. Besides providing an overview of currently available bioinformatic tools for plant scientists, we introduce BioPathAt, a newly developed visual interface that allows the knowledge-based analysis of genome-scale data by integrating biochemical pathway maps (BioPathAtMAPS module) with a manually scrutinized gene-function database (BioPathAtDB) for the model plant Arabidopsis thaliana. In addition, we discuss approaches for generating a biochemical pathway knowledge database for A. thaliana that includes, in addition to accurate annotation, condensed experimental information regarding in vitro and in vivo gene/protein function.

Structure and function of the centriole in animal cells: progress and questions

The centriole is a well-recognized, yet poorly understood, organelle present in many eukaryotic cells. Despite excellent electron-microscopic descriptions of its basic triplet microtubule structure, almost nothing is known of its specific molecular components. Here, Bodo Lange and Keith Gull survey centriole structure, duplication and maturation within the cell cycle and focus attention on the possible roles and function of centrioles as components of the centrosome in animal cells.