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Genome-wide association study (GWAS) has identified thousands of genetic variants associated with complex traits and diseases. Compared with analyzing a single phenotype at a time, the joint analysis of multiple phenotypes can improve statistical power by taking into account the information from phenotypes. However, most established joint algorithms ignore the different level of correlations between multiple phenotypes; instead of that, they simultaneously analyze all phenotypes in a genetic model. Thus, they may fail to capture the genetic structure of phenotypes and consequently reduce the statistical power. In this study, we develop a novel method agglomerative nesting clustering algorithm for phenotypic dimension reduction analysis (AGNEP) to jointly analyze multiple phenotypes for GWAS. First, AGNEP uses an agglomerative nesting clustering algorithm to group correlated phenotypes and then applies principal component analysis (PCA) to generate representative phenotypes for each group. Finally, multivariate analysis is employed to test associations between genetic variants and the representative phenotypes rather than all phenotypes. We perform three simulation experiments with various genetic structures and a real dataset analysis for 19 Arabidopsis phenotypes. Compared to established methods, AGNEP is more powerful in terms of statistical power, computing time, and the number of quantitative trait nucleotides (QTNs). The analysis of the Arabidopsis real dataset further illustrates the efficiency of AGNEP for detecting QTNs, which are confirmed by The Arabidopsis Information Resource gene bank. more...

Conceived as a replacement for the anticipated retirement of The Arabidopsis Information Resource (TAIR), the Araport project was funded by the U.S. National Science Foundation (NSF) in 2013 to develop a new, extensible framework for Arabidopsis ( Arabidopsis thaliana ) bioinformatics that would more...

Phytohormones play a crucial role in regulating plant developmental processes. Among them, ethylene and jasmonate are known to be involved in plant defense responses to a wide range of biotic stresses as their levels increase with pathogen infection. In addition, these two phytohormones have been shown to inhibit plant nodulation in legumes. Here, exogenous salicylic acid (SA), jasmonate acid (JA), and ethephon (ET) were applied to the root system of Casuarina glauca plants before Frankia inoculation, in order to analyze their effects on the establishment of actinorhizal symbiosis. This protocol further describes how to identify putative ortholog genes involved in ethylene and jasmonate biosynthesis and/or signaling pathways in plant, using the Arabidopsis Information Resource (TAIR), Legume Information System (LIS), and Genevestigator databases. The expression of these genes in response to the bacterium Frankia was analyzed using the gene atlas for Casuarina-Frankia symbiosis (SESAM web site). more...

Euphorbia jolkini, a medicinal herb that grows on the warm beaches in Japan and South Korea, is known to be used for traditional medicines to treat a variety of ailments, including bruises, stiffness, indigestion, toothache, and diabetes. It is to analyze the whole transcriptome and identify the genes related to the phenylpropanoid biosynthesis in the medicinally important herb E jolkini. Paired-end Illumina HiSeq™ 2500 sequencing technology was employed for cDNA library construction and Illumina sequencing. Public databases like TAIR (The Arabidopsis Information Resource), Swissprot and KEGG (Kyoto Encyclopedia of Genes and Genomes) were used for annotations of unigenes obtained. The transcriptome of E. jolkini generated 139,215 assembled transcripts with an average length of 868 bp and an N50 value of 1460 bp that were further clustered using CD-HIT into 93,801 unigenes with an average length of 847 bp (N50-1410 bp). Sixty-three percent of the coding sequences (CDS) were annotated from the longest open reading frame (ORF). A remarkable percentage of unigenes were annotated against various databases. The differentially expressed gene analysis revealed that the expression of genes related to the terpenoid backbone biosynthesis pathway was higher in the flowers, whereas that of genes related to the phenylpropanoid biosynthesis pathway was both up- and downregulated in flowers and leaves. A search of against the transcription factor domain found 1023 transcription factors (TFs) that were from 54 TF families. Assembled sequences of the E. jolkini transcriptome are made available for the first time in this study E. jolkini and lay a foundation for the investigation of secondary metabolite biosynthesis. more...

Effective research, education, and outreach efforts by the Arabidopsis thaliana community, as well as other scientific communities that depend on Arabidopsis resources, depend vitally on easily available and publicly-shared resources. These resources include reference genome sequence data and an ever-increasing number of diverse data sets and data types. TAIR (The Arabidopsis Information Resource) and Araport (originally named the Arabidopsis Information Portal) are community informatics resources that provide tools, data, and applications to the more than 30,000 researchers worldwide that use in their work either Arabidopsis as a primary system of study or data derived from Arabidopsis. Four years after Araport's establishment, the IAIC held another workshop to evaluate the current status of Arabidopsis Informatics and chart a course for future research and development. The workshop focused on several challenges, including the need for reliable and current annotation, community-defined common standards for data and metadata, and accessible and user-friendly repositories/tools/methods for data integration and visualization. Solutions envisioned included (a) a centralized annotation authority to coalesce annotation from new groups, establish a consistent naming scheme, distribute this format regularly and frequently, and encourage and enforce its adoption. (b) Standards for data and metadata formats, which are essential, but challenging when comparing across diverse genotypes and in areas with less-established standards (e.g., phenomics, metabolomics). Community-established guidelines need to be developed. (c) A searchable, central repository for analysis and visualization tools. Improved versioning and user access would make tools more accessible. Workshop participants proposed a "one-stop shop" website, an Arabidopsis "Super-Portal" to link tools, data resources, programmatic standards, and best practice descriptions for each data type. This must have community buy-in and participation in its establishment and development to encourage adoption. Published version more...

The Arabidopsis Information Resource (TAIR) is a continuously updated, online database of genetic and molecular biology data for the model plant Arabidopsis thaliana that provides a global research community with centralized access to data for over 30,000 Arabidopsis genes. TAIR's biocurators systematically extract, organize, and interconnect experimental data from the literature along with computational predictions, community submissions, and high throughput datasets to present a high quality and comprehensive picture of Arabidopsis gene function. TAIR provides tools for data visualization and analysis, and enables ordering of seed and DNA stocks, protein chips, and other experimental resources. TAIR actively engages with its users who contribute expertise and data that augments the work of the curatorial staff. TAIR's focus in an extensive and evolving ecosystem of online resources for plant biology is on the critically important role of extracting experimentally based research findings from the literature and making that information computationally accessible. In response to the loss of government grant funding, the TAIR team founded a nonprofit entity, Phoenix Bioinformatics, with the aim of developing sustainable funding models for biological databases, using TAIR as a test case. Phoenix has successfully transitioned TAIR to subscription-based funding while still keeping its data relatively open and accessible. more...

Iron (Fe) is an essential element for plant growth and development. Iron deficiency results in abnormal metabolisms from respiration to photosynthesis. Exploration of Fe-deficient responsive genes and their networks is critically important to understand molecular mechanisms leading to the plant adaptation to soil Fe-limitation. Co-expression genes are a cluster of genes that have a similar expression pattern to execute relatively biological functions at a stage of development or under a certain environmental condition. They may share a common regulatory mechanism. In this study, we investigated Fe-starved-related co-expression genes from Arabidopsis. From the biological process GO annotation of TAIR (The Arabidopsis Information Resource), 180 iron-deficient responsive genes were detected. Using ATTED-II database, we generated six gene co-expression networks. Among these, two modules of PYE and IRT1 were successfully constructed. There are 30 co-expression genes that are incorporated in the two modules (12 in PYE-module and 18 in IRT1-module). Sixteen of the co-expression genes were well characterized. The remaining genes (14) are poorly or not functionally identified with iron stress. Validation of the 14 genes using real-time PCR showed differential expression under iron-deficiency. Most of the co-expression genes (23/30) could be validated in pye and fit mutant plants with iron-deficiency. We further identified iron-responsive cis-elements upstream of the co-expression genes and found that 22 out of 30 genes contain the iron-responsive motif IDE1. Furthermore, some auxin and ethylene-responsive elements were detected in the promoters of the co-expression genes. These results suggest that some of the genes can be also involved in iron stress response through the phytohormone-responsive pathways. more...

Alternative splicing is an essential biological process to generate proteome diversity and phenotypic complexity. Recent improvements in RNA sequencing accuracy and computational algorithms have provided unprecedented opportunities to examine the expression levels of Arabidopsis (Arabidopsis thaliana) transcripts. In this article, we analyzed 61 RNA sequencing samples from 10 totally independent studies of Arabidopsis and calculated the transcript expression levels in different tissues, treatments, developmental stages, and varieties. These data provide a comprehensive profile of Arabidopsis transcripts with single-base resolution. We quantified the expression levels of 40,745 transcripts annotated in The Arabidopsis Information Resource 10, comprising 73% common transcripts, 15% rare transcripts, and 12% nondetectable transcripts. In addition, we investigated diverse common transcripts in detail, including ubiquitous transcripts, dominant/subordinate transcripts, and switch transcripts, in terms of their expression and transcript ratio. Interestingly, alternative splicing was the highly enriched function for the genes related to dominant/subordinate transcripts and switch transcripts. In addition, motif analysis revealed that TC motifs were enriched in dominant transcripts but not in subordinate transcripts. These motifs were found to have a strong relationship with transcription factor activity. Our results shed light on the complexity of alternative splicing and the diversity of the contributing factors. more...

Plants posses a complex co-regulatory network which helps them to elicit a response under diverse adverse conditions. We used an in silico approach to identify the genes with both DRE and ABRE motifs in their promoter regions in Arabidopsis thaliana. Our results showed that Arabidopsis contains a set of 2,052 genes with ABRE and DRE motifs in their promoter regions. Approximately 72% or more of the total predicted 2,052 genes had a gap distance of less than 400 bp between DRE and ABRE motifs. For positional orientation of the DRE and ABRE motifs, we found that the DR form (one in direct and the other one in reverse orientation) was more prevalent than other forms. These predicted 2,052 genes include 155 transcription factors. Using microarray data from The Arabidopsis Information Resource (TAIR) database, we present 44 transcription factors out of 155 which are upregulated by more than twofold in response to osmotic stress and ABA treatment. Fifty-one transcripts from the one predicted above were validated using semiquantitative expression analysis to support the microarray data in TAIR. Taken together, we report a set of genes containing both DRE and ABRE motifs in their promoter regions in A. thaliana, which can be useful to understand the role of ABA under osmotic stress condition. more...

We have optimized and extended the widely used annotation engine MAKER in order to better support plant genome annotation efforts. New features include better parallelization for large repeat-rich plant genomes, noncoding RNA annotation capabilities, and support for pseudogene identification. We have benchmarked the resulting software tool kit, MAKER-P, using the Arabidopsis (Arabidopsis thaliana) and maize (Zea mays) genomes. Here, we demonstrate the ability of the MAKER-P tool kit to automatically update, extend, and revise the Arabidopsis annotations in light of newly available data and to annotate pseudogenes and noncoding RNAs absent from The Arabidopsis Informatics Resource 10 build. Our results demonstrate that MAKER-P can be used to manage and improve the annotations of even Arabidopsis, perhaps the best-annotated plant genome. We have also installed and benchmarked MAKER-P on the Texas Advanced Computing Center. We show that this public resource can de novo annotate the entire Arabidopsis and maize genomes in less than 3 h and produce annotations of comparable quality to those of the current The Arabidopsis Information Resource 10 and maize V2 annotation builds. more...

The use of online databases to collect and disseminate data is typically portrayed as crucial to the management of ‘big science’. At the same time, databases are not deemed successful unless they facilitate the re-use of data towards new scientific discoveries, which often involves engaging with several highly diverse and inherently unstable research communities. This article examines the tensions encountered by database developers in their efforts to foster both the global circulation and the local adoption of data. I focus on two prominent attempts to build data infrastructures in the fields of plant science and cancer research over the last decade: The Arabidopsis Information Resource and the Cancer Biomedical Informatics Grid. I show how curators’ experience of the diverse and dynamic nature of biological research led them to envision databases as catering primarily for local, rather than global, science; and to structure them as platforms where methodological and epistemic diversity can be expressed and explored, rather than denied or overcome. I conclude that one way to define the scale of data infrastructure is to consider the range and scope of the biological and biomedical questions that it helps to address; and that within this perspective, databases have a larger scale than the science that they serve, which tends to remain fragmented into a wide variety of specialised projects. more...

This manuscript describes an update of the leaf senescence database (LSD) previously featured in the 2011 NAR Database Issue. LSD provides comprehensive information concerning senescence-associated genes (SAGs) and their corresponding mutants. We have made extensive annotations for these SAGs through both manual and computational approaches. Recently, we updated LSD to a new version LSD 2.0 (http://www.eplantsenescence.org/), which contains 5356 genes and 322 mutants from 44 species, an extension from the previous version containing 1145 genes and 154 mutants from 21 species. In the current version, we also included several new features: (i) Primer sequences retrieved based on experimental evidence or designed for high-throughput analysis were added; (ii) More than 100 images of Arabidopsis SAG mutants were added; (iii) Arabidopsis seed information obtained from The Arabidopsis Information Resource (TAIR) was integrated; (iv) Subcellular localization information of SAGs in Arabidopsis mined from literature or generated from the SUBA3 program was presented; (v) Quantitative Trait Loci information was added with links to the original database and (vi) New options such as primer and miRNA search for database query were implemented. The updated database will be a valuable and informative resource for basic research of leaf senescence and for the manipulation of traits of agronomically important plants. more...

Plant microRNA (miRNA) is a crucial regulator of gene expression. It has been reported that more than one miRNA/miRNA* duplex could be produced from a microRNA precursor (pre-miRNA). In this study, we performed a comprehensive search for the novel miRNA candidates on the pre-miRNAs of Arabidopsis. AGO1 enrichment, co-existence of the miRNA*-like coordinates, and unique genome-wide match sites were taken into consideration for candidate screening. As a result, 43 miRNA-like candidates derived from 25 pre-miRNAs were identified. Among these candidates, 31 strong candidates from 22 pre-miRNAs passed all the filtering steps. Interestingly, some of these miRNA-like candidates showed organ-specific expression patterns. After target prediction and degradome sequencing data-based validation, five miRNA candidate–target pairs (ath-miR863-5p.2–AT1G76550.1, ath-miR822.2–AT5G03552.1, ath-miR822.3–AT5G02350.1, sRNA4–AT1G66290.1 and sRNA6–AT1G66310.1) were identified, providing a basis for in-depth functional analysis of these miRNA candidates. These results could update the current understanding of the biogenesis and the action of the plant miRNAs. more...

Cocoa bean is one of the main commodities from Indonesia for the world, which still have problem regarding yield degradation due to pathogens and disease attack. Developing robust cacao plant that genetically resistant to pathogen and disease attack is an ideal solution in over taking on this problem. The aim of this study was to identify Theobroma cacao genes on database of cacao genome that homolog to response genes of pathogen and disease attack in other plant, through in silico analysis. Basic information survey and gene identification were performed in GenBank and The Arabidopsis Information Resource database. The In silico analysis contains protein BLAST, homology test of each gene’s protein candidates, and identification of homologue gene in Cacao Genome Database using data source “Theobroma cacao cv. Matina 1-6 v1.1” genome. Identification found that Thecc1EG011959t1 (EDS1), Thecc1EG006803t1 (EDS5), Thecc1EG013842t1 (ICS1), and Thecc1EG015614t1 (BG_PPAP) gene of Cacao Genome Database were Theobrom... more...

Community databases have become crucial to the collection, ordering and retrieval of data gathered on model organisms, as well as to the ways in which these data are interpreted and used across a range of research contexts. This paper analyses the impact of community databases on research practices in model organism biology by focusing on the history and current use of four community databases: FlyBase, Mouse Genome Informatics, WormBase and The Arabidopsis Information Resource. We discuss the standards used by the curators of these databases for what counts as reliable evidence, acceptable terminology, appropriate experimental set-ups and adequate materials (e.g., specimens). On the one hand, these choices are informed by the collaborative research ethos characterising most model organism communities. On the other hand, the deployment of these standards in databases reinforces this ethos and gives it concrete and precise instantiations by shaping the skills, practices, values and background knowledge required of the database users. We conclude that the increasing reliance on community databases as vehicles to circulate data is having a major impact on how researchers conduct and communicate their research, which affects how they understand the biology of model organisms and its relation to the biology of other species. more...

Protein interactions are fundamental to the molecular processes occurring within an organism and can be utilized in network biology to help organize, simplify, and understand biological complexity. Currently, there are more than 10 publicly available Arabidopsis (Arabidopsis thaliana) protein interaction databases. However, there are limitations with these databases, including different types of interaction evidence, a lack of defined standards for protein identifiers, differing levels of information, and, critically, a lack of integration between them. In this paper, we present an interactive bioinformatics Web tool, ANAP (Arabidopsis Network Analysis Pipeline), which serves to effectively integrate the different data sets and maximize access to available data. ANAP has been developed for Arabidopsis protein interaction integration and network-based study to facilitate functional protein network analysis. ANAP integrates 11 Arabidopsis protein interaction databases, comprising 201,699 unique protein interaction pairs, 15,208 identifiers (including 11,931 The Arabidopsis Information Resource Arabidopsis Genome Initiative codes), 89 interaction detection methods, 73 species that interact with Arabidopsis, and 6,161 references. ANAP can be used as a knowledge base for constructing protein interaction networks based on user input and supports both direct and indirect interaction analysis. It has an intuitive graphical interface allowing easy network visualization and provides extensive detailed evidence for each interaction. In addition, ANAP displays the gene and protein annotation in the generated interactive network with links to The Arabidopsis Information Resource, the AtGenExpress Visualization Tool, the Arabidopsis 1,001 Genomes GBrowse, the Protein Knowledgebase, the Kyoto Encyclopedia of Genes and Genomes, and the Ensembl Genome Browser to significantly aid functional network analysis. The tool is available open access at http://gmdd.shgmo.org/Computational-Biology/ANAP. more...

The Arabidopsis Information Resource (TAIR, http://arabidopsis.org) is a genome database for Arabidopsis thaliana, an important reference organism for many fundamental aspects of biology as well as basic and applied plant biology research. TAIR serves as a central access point for Arabidopsis data, annotates gene function and expression patterns using controlled vocabulary terms, and maintains and updates the A. thaliana genome assembly and annotation. TAIR also provides researchers with an extensive set of visualization and analysis tools. Recent de- velopments include several new genome releases (TAIR8, TAIR9 and TAIR10) in which the A. thaliana assembly was updated, pseudogenes and transposon genes were re-annotated, and new data from proteomics and next generation transcriptome sequencing were incorporated into gene models and splice variants. Other highlights include progress on functional anno- tation of the genome and the release of sev- eral new tools including Textpresso for Arabidopsis which provides the capability to carry out full text searches on a large body of research literature. more...

Map-based cloning has been widely used to identify genes responsible for mutant phenotypes in Arabidopsis, especially those mutants generated by EMS or fast neutron mutagenesis. The success of map-based cloning relies on the availability of molecular markers that distinguish the polymorphisms between two Arabidopsis ecotypes. So far, most molecular markers in Arabidopsis have been generated by individual laboratories or the Arabidopsis Information Resource (TAIR). However, the TAIR markers, which are distributed unevenly on the five Arabidopsis chromosomes, only cover approximately 25% of the Arabidopsis BACs. Designing and testing molecular markers is still a time-consuming endeavor. Here we report the construction of a high-resolution BAC-based Arabidopsis mapping platform (AMP), using Col-0 and Ler as model ecotypes. The AMP comprises 1346 markers (1073 INDEL and 273 CAPS/dCAPS markers), of which 971 were newly designed and experimentally confirmed, 179 were from published papers and 196 were TAIR markers. These AMP markers cover 1186 BACs, 1121 of which are in non-centromere regions, representing approximately 75% of the Arabidopsis BACs in non-centromere regions. All the marker information is included on the AMP website (http://amp.genomics.org.cn/) for easy access and download, and sets of standard markers for initial chromosomal localization of a particular gene are recommended. The feasibility of using the AMP to map mutated genes is also discussed. more...

Literature curation by model organism databases (MODs) results in the interconnection of papers, genes, gene functions, and other experimentally supported biological information, and aims to make research data more discoverable and accessible to the research community. That said, there is a paucity of quantitative data about if and how literature curation affects access and reuse of the curated data. One potential measure of data reuse is the citation rate of the article used in curation. If articles and their corresponding data are easier to find, then we might expect that curated articles would exhibit different citation profiles when compared to articles that are not curated. That is, what are the effects of having scholarly articles curated by MODs on their citation rates? To address this question we have been comparing the citation behavior of different groups of articles and asking the following questions: (1) given a collection of 'similar' articles about Arabidopsis, is there a difference in the citation numbers between articles that have been curated in TAIR (The Arabidopsis Information Resource) and ones that have not, (2) for articles annotated in TAIR, is there a difference in the citation behavior before vs. after curation and, (3) is there a difference in citation behavior between Arabidopsis articles added to TAIR's database and those that are not in TAIR? Our data indicate that curated articles do have a different citation profile than non-curated articles that appears to result from increased visibility in TAIR. We believe data of this type could be used to quantify the impact of literature curation on data reuse and may also be useful for MODs and funders seeking incentives for community literature curation. This project is a research partnership between TAIR and Elsevier Labs. more...

The Arabidopsis Information Resource (TAIR, http://arabidopsis.org) is the model organism database for the fully sequenced and intensively studied model plant Arabidopsis thaliana. Data in TAIR is derived in large part from manual curation of the Arabidopsis research literature and direct submissions from the research community. New developments at TAIR include the addition of the GBrowse genome viewer to the TAIR site, a redesigned home page, navigation structure and portal pages to make the site more intuitive and easier to use, the launch of several TAIR web services and a new genome annotation release (TAIR7) in April 2007. A combination of manual and computational methods were used to generate this release, which contains 27,029 protein-coding genes, 3889 pseudogenes or transposable elements and 1123 ncRNAs (32,041 genes in all, 37,019 gene models). A total of 681 new genes and 1002 new splice variants were added. Overall, 10,098 loci (one-third of all loci from the previous TAIR6 release) were updated for the TAIR7 release. more...

Formal description of plant phenotypes and standardized annotation of gene expression and protein localization data require uniform terminology that accurately describes plant anatomy and morphology. This facilitates cross species comparative studies and quantitative comparison of phenotypes and expression patterns. A major drawback is variable terminology that is used to describe plant anatomy and morphology in publications and genomic databases for different species. The same terms are sometimes applied to different plant structures in different taxonomic groups. Conversely, similar structures are named by their species-specific terms. To address this problem, we created the Plant Structure Ontology (PSO), the first generic ontological representation of anatomy and morphology of a flowering plant. The PSO is intended for a broad plant research community, including bench scientists, curators in genomic databases, and bioinformaticians. The initial releases of the PSO integrated existing ontologies for Arabidopsis (Arabidopsis thaliana), maize (Zea mays), and rice (Oryza sativa); more recent versions of the ontology encompass terms relevant to Fabaceae, Solanaceae, additional cereal crops, and poplar (Populus spp.). Databases such as The Arabidopsis Information Resource, Nottingham Arabidopsis Stock Centre, Gramene, MaizeGDB, and SOL Genomics Network are using the PSO to describe expression patterns of genes and phenotypes of mutants and natural variants and are regularly contributing new annotations to the Plant Ontology database. The PSO is also used in specialized public databases, such as BRENDA, GENEVESTIGATOR, NASCArrays, and others. Over 10,000 gene annotations and phenotype descriptions from participating databases can be queried and retrieved using the Plant Ontology browser. The PSO, as well as contributed gene associations, can be obtained at www.plantontology.org. more...

Plant growth stages are identified as distinct morphological landmarks in a continuous developmental process. The terms describing these developmental stages record the morphological appearance of the plant at a specific point in its life cycle. The widely differing morphology of plant species consequently gave rise to heterogeneous vocabularies describing growth and development. Each species or family specific community developed distinct terminologies for describing whole-plant growth stages. This semantic heterogeneity made it impossible to use growth stage description contained within plant biology databases to make meaningful computational comparisons. The Plant Ontology Consortium (http://www.plantontology.org) was founded to develop standard ontologies describing plant anatomical as well as growth and developmental stages that can be used for annotation of gene expression patterns and phenotypes of all flowering plants. In this article, we describe the development of a generic whole-plant growth stage ontology that describes the spatiotemporal stages of plant growth as a set of landmark events that progress from germination to senescence. This ontology represents a synthesis and integration of terms and concepts from a variety of species-specific vocabularies previously used for describing phenotypes and genomic information. It provides a common platform for annotating gene function and gene expression in relation to the developmental trajectory of a plant described at the organismal level. As proof of concept the Plant Ontology Consortium used the plant ontology growth stage ontology to annotate genes and phenotypes in plants with initial emphasis on those represented in The Arabidopsis Information Resource, Gramene database, and MaizeGDB. more...

Defensins represent an ancient and diverse set of small, cysteine-rich, antimicrobial peptides in mammals, insects, and plants. According to published accounts, most species' genomes contain 15 to 50 defensins. Starting with a set of largely nodule-specific defensin-like sequences (DEFLs) from the model legume Medicago truncatula, we built motif models to search the near-complete Arabidopsis (Arabidopsis thaliana) genome. We identified 317 DEFLs, yet 80% were unannotated at The Arabidopsis Information Resource and had no prior evidence of expression. We demonstrate that many of these DEFL genes are clustered in the Arabidopsis genome and that individual clusters have evolved from successive rounds of gene duplication and divergent or purifying selection. Sequencing reverse transcription-PCR products from five DEFL clusters confirmed our gene predictions and verified expression. For four of the largest clusters of DEFLs, we present the first evidence of expression, most frequently in floral tissues. To determine the abundance of DEFLs in other plant families, we used our motif models to search The Institute for Genomic Research's gene indices and identified approximately 1,100 DEFLs. These expressed DEFLs were found mostly in reproductive tissues, consistent with our reverse transcription-PCR results. Sequence-based clustering of all identified DEFLs revealed separate tissue- or taxon-specific subgroups. Previously, we and others showed that more than 300 DEFL genes were expressed in M. truncatula nodules, organs not present in most plants. We have used this information to annotate the Arabidopsis genome and now provide evidence of a large DEFL superfamily present in expressed tissues of all sequenced plants. more...

The Plant Ontology Consortium (POC) (www.plantontology.org) is a collaborative effort among several plant databases and experts in plant systematics, botany and genomics. A primary goal of the POC is to develop simple yet robust and extensible controlled vocabularies that accurately reflect the biology of plant structures and developmental stages. These provide a network of vocabularies linked by relationships (ontology) to facilitate queries that cut across datasets within a database or between multiple databases. The current version of the ontology integrates diverse vocabularies used to describeArabidopsis, maize and rice (Oryzasp.) anatomy, morphology and growth stages. Using the ontology browser, over 3500 gene annotations from three species-specific databases, The Arabidopsis Information Resource (TAIR) forArabidopsis, Gramene for rice and MaizeGDB for maize, can now be queried and retrieved. more...

Controlled vocabularies are increasingly used by databases to describe genes and gene products because they facilitate identification of similar genes within an organism or among different organisms. One of The Arabidopsis Information Resource's goals is to associate all Arabidopsis genes with terms developed by the Gene Ontology Consortium that describe the molecular function, biological process, and subcellular location of a gene product. We have also developed terms describing Arabidopsis anatomy and developmental stages and use these to annotate published gene expression data. As of March 2004, we used computational and manual annotation methods to make 85,666 annotations representing 26,624 unique loci. We focus on associating genes to controlled vocabulary terms based on experimental data from the literature and use The Arabidopsis Information Resource-developed PubSearch software to facilitate this process. Each annotation is tagged with a combination of evidence codes, evidence descriptions, and references that provide a robust means to assess data quality. Annotation of all Arabidopsis genes will allow quantitative comparisons between sets of genes derived from sources such as microarray experiments. The Arabidopsis annotation data will also facilitate annotation of newly sequenced plant genomes by using sequence similarity to transfer annotations to homologous genes. In addition, complete and up-to-date annotations will make unknown genes easy to identify and target for experimentation. Here, we describe the process of Arabidopsis functional annotation using a variety of data sources and illustrate several ways in which this information can be accessed and used to infer knowledge about Arabidopsis and other plant species. more...

Arabidopsis thaliana is the most widely-studied plant today. The concerted efforts of over 11 000 researchers and 4000 organizations around the world are generating a rich diversity and quantity of information and materials. This information is made available through a comprehensive on-line resource called the Arabidopsis Information Resource (TAIR) (http://arabidopsis.org), which is accessible via commonly used web browsers and can be searched and downloaded in a number of ways. In the last two years, efforts have been focused on increasing data content and diversity, functionally annotating genes and gene products with controlled vocabularies, and improving data retrieval, analysis and visualization tools. New information include sequence polymorphisms including alleles, germplasms and phenotypes, Gene Ontology annotations, gene families, protein information, metabolic pathways, gene expression data from microarray experiments and seed and DNA stocks. New data visualization and analysis tools include SeqViewer, which interactively displays the genome from the whole chromosome down to 10 kb of nucleotide sequence and AraCyc, a metabolic pathway database and map tool that allows overlaying expression data onto the pathway diagrams. Finally, we have recently incorporated seed and DNA stock information from the Arabidopsis Biological Resource Center (ABRC) and implemented a shopping-cart style on-line ordering system. more...

The Arabidopsis Information Resource (TAIR; http://arabidopsis.org) provides an integrated view of genomic data for Arabidopsis thaliana. The information is obtained from a battery of sources, including the Arabidopsis user community, the literature, and the major genome centers. Currently TAIR provides information about genes, markers, polymorphisms, maps, sequences, clones, DNA and seed stocks, gene families and proteins. In addition, users can find Arabidopsis publications and information about Arabidopsis researchers. Our emphasis is now on incorporating functional annotations of genes and gene products, genome-wide expression, and biochemical pathway data. Among the tools developed at TAIR, the most notable is the Sequence Viewer, which displays gene annotation, clones, transcripts, markers and polymorphisms on the Arabidopsis genome, and allows zooming in to the nucleotide level. A tool recently released is AraCyc, which is designed for visualization of biochemical pathways. We are also developing tools to extract information from the literature in a systematic way, and building controlled vocabularies to describe biological concepts in collaboration with other database groups. A significant new feature is the integration of the ABRC database functions and stock ordering system, which allows users to place orders for seed and DNA stocks directly from the TAIR site. more...

In plants, 14-3-3 proteins are key regulators of primary metabolism and membrane transport. Although the current dogma states that 14-3-3 isoforms are not very specific with regard to target proteins, recent data suggest that the specificity may be high. Therefore, identification and characterization of all 14-3-3 (GF14) isoforms in the model plant Arabidopsis are important. Using the information now available from The Arabidopsis Information Resource, we found three new GF14 genes. The potential expression of these three genes, and of two additional novel GF14 genes (Rosenquist et al., 2000), in leaves, roots, and flowers was examined using reverse transcriptase-polymerase chain reaction and cDNA library polymerase chain reaction screening. Under normal growth conditions, two of these genes were found to be transcribed. These genes were namedgrf11and grf12, and the corresponding new 14-3-3 isoforms were named GF14omicron and GF14iota, respectively. The gene coding for GF14omicron was expressed in leaves, roots, and flowers, whereas the gene coding for GF14iota was only expressed in flowers. Gene structures and relationships between all members of the GF14 gene family were deduced from data available through The Arabidopsis Information Resource. The data clearly support the theory that two 14-3-3 genes were present when eudicotyledons diverged from monocotyledons. In total, there are 15 14-3-3 genes (grfs 1–15) in Arabidopsis, of which 12 (grfs 1–12) now have been shown to be expressed. more...

Arabidopsis thaliana, a small annual plant belonging to the mustard family, is the subject of study by an estimated 7000 researchers around the world. In addition to the large body of genetic, physiological and biochemical data gathered for this plant, it will be the first higher plant genome to be completely sequenced, with completion expected at the end of the year 2000. The sequencing effort has been coordinated by an international collaboration, the Arabidopsis Genome Initiative (AGI). The rationale for intensive investigation of Arabidopsis is that it is an excellent model for higher plants. In order to maximize use of the knowledge gained about this plant, there is a need for a comprehensive database and information retrieval and analysis system that will provide user-friendly access to Arabidopsis information. This paper describes the initial steps we have taken toward realizing these goals in a project called The Arabidopsis Information Resource (TAIR) (www.arabidopsis.org). more...

We are proud to present the fourth Database Issue of Plant and Cell Physiology (PCP) (available online at http://pcp.oxfordjour nals.org/). As we have introduced in previous years (Matsuoka and Yano 2010, Obayashi and Yano 2013), the ultimate goal of PCP’s annual Database Issue is to provide a useful online resource and forum for discussion of bioinformatics research, and in particular the development and maintenance of the infrastructure of web databases for plant science. Recently, largescale biological data sets, such as those for DNA polymorphisms and gene expression, have been obtained using next-generation sequencing technology. In addition, website and database construction has also become easier due to the many commercial and non-commercial types of software that have been recently released and widely distributed. This has resulted in the creation of many diverse web-based tools and databases that house and/or analyze large-scale data. However, it is not always easy for researchers to extract data efficiently from such databases, since their concept, contents and/or functions may sometimes be unclear. Therefore, to promote discussion and develop bioinformatics approaches and omics/knowledge information specifically for the plant sciences, databases ought to be designed with particular specifications in mind, for instance to include user-friendly interfaces, search functions and manuals. To ensure that a common consensus is reached in this and future Database Issues, PCP has updated its Instructions for Authors and implemented standard key features and descriptions of databases and online tools (see http://www.oxfordjournals.org/our_journals/pcp/pcp_2013_ call_for_paper.html), which will aid researchers in extracting relevant data. This year’s collection of Database articles promises to provide useful omics data to plant researchers, and comprise descriptions of nine sophisticated web databases. On pages 1–9 (e3), Kiefer et al. (2014) report on a new Brassica database—BrassiBase (http://brassibase.cos.uni-heidelberg.de/). The authors aim to develop an online database system of cross-referenced information and resources on Brassicaceae taxonomy, systematics, evolution, traits and germplasm resources. Biological material and resources, either collected directly in the wild or held in germplasm collections, are often taxonomically misidentified and are very rarely further characterized and documented. BrassiBase will close these various gaps and provide the full potential of research focusing on the adaptive characters and character trait evolution in the Brassicaceae. MEGANTE (https://megante.dna.affrc.go.jp/) is a web-based annotation system that makes plant genome annotation easy for non-bioinformaticians (Numa and Itoh 2014; see pp. 1–8 (e2)). Users can submit a sequence of up to 10 Mb in length and save up to 100 sequences on the server. The annotation is visualized with a genome browser and the results can be downloaded in a Microsoft Excel format. Yonemaru et al. (2014; see pp. 1–12 (e9)) introduce the HapRice database, which provides information about single nucleotide polymorphisms (SNPs) in different rice genomes. The SNP haplotypes were determined by the allele frequencies in two populations consisting of 3,334 SNPs within 76 world accessions and 3,252 SNPs within 177 Japanese accessions, and will aid marker-assisted breeding and provide useful additional markers for geneticists. The SNP information is available from the HapRice database (http://qtaro.abr.affrc.go.jp/). To allow a comprehensive understanding of the interactions between an organism’s metabolites and the chemical-level contribution of metabolites to human health, Nakamura et al. (2014; see pp. 1–9 (e7)) constructed a metabolite activity database known as the KNApSAcK Metabolite Activity DB (http://kanaya.naist.jp/MetaboliteActivity/top. jsp). The KNApSAcK Metabolite Activity DB is integrated within the KNApSAcK Family DBs (Afendi et al. 2012, Nakamura et al. 2013) to facilitate further systematized research in various omics fields, especially metabolomics, nutrigenomics and foodomics. The KNApSAcK Metabolite Activity DB could also be utilized for developing novel drugs and materials, as well as for identifying viable drug resources and other useful compounds. On pages 1–9 (e5), Fukami-Kobayashi et al. (2014) also describe the integration of omics information and resources in plant science. The original SABRE (Systematic consolidation of Arabidopsis and other Botanical Resources) database (Yamazaki et al. 2010), retrieved TAIR (The Arabidopsis Information Resource) gene models and their annotations, together with homologous gene clones from various species, and more...

TAIR (The Arabidopsis Information Resource) is the model organism database (MOD) for Arabidopsis thaliana, a model plant with a literature corpus of about 39 000 articles in PubMed, with over 4300 new articles added in 2011. We have developed a literature curation workflow incorporating both automated and manual elements to cope with this flood of new research articles. The current workflow can be divided into two phases: article selection and curation. Structured controlled vocabularies, such as the Gene Ontology and Plant Ontology are used to capture free text information in the literature as succinct ontology-based annotations suitable for the application of computational analysis methods. We also describe our curation platform and the use of text mining tools in our workflow. Database URL: www.arabidopsis.org more...

WormBase, dictyBase and The Arabidopsis Information Resource (TAIR) are model organism databases containing information about Caenorhabditis elegans and other nematodes, the social amoeba Dictyostelium discoideum and related Dictyostelids and the flowering plant Arabidopsis thaliana, respectively. Each database curates multiple data types from the primary research literature. In this article, we describe the curation workflow at WormBase, with particular emphasis on our use of text-mining tools (BioCreative 2012, Workshop Track II). We then describe the application of a specific component of that workflow, Textpresso for Cellular Component Curation (CCC), to Gene Ontology (GO) curation at dictyBase and TAIR (BioCreative 2012, Workshop Track III). We find that, with organism-specific modifications, Textpresso can be used by dictyBase and TAIR to annotate gene productions to GO's Cellular Component (CC) ontology. more...

As the scientific literature grows, leading to an increasing volume of published experimental data, so does the need to access and analyze this data using computational tools. The most commonly used method to convert published experimental data on gene function into controlled vocabulary annotations relies on a professional curator, employed by a model organism database or a more general resource such as UniProt, to read published articles and compose annotation statements based on the articles' contents. A more cost-effective and scalable approach capable of capturing gene function data across the whole range of biological research organisms in computable form is urgently needed. We have analyzed a set of ontology annotations generated through collaborations between the Arabidopsis Information Resource and several plant science journals. Analysis of the submissions entered using the online submission tool shows that most community annotations were well supported and the ontology terms chosen were at an appropriate level of specificity. Of the 503 individual annotations that were submitted, 97% were approved and community submissions captured 72% of all possible annotations. This new method for capturing experimental results in a computable form provides a cost-effective way to greatly increase the available body of annotations without sacrificing annotation quality. Database URL: www.arabidopsis.org. more...

In the next 20 years, the world population is expected to reach a total of 8.3 billion people. Agriculture will have to produce sufficient food knowing that presently and globally agricultural production nearly matches world consumption. Yet, malnutrition is not only a matter of food amount but also concerns food nutritional quality. In particular, the nutritional value and quality of seeds should be improved to alleviate malnutrition and provide a well-balance diet. Progress in seed biology has considerably benefited from the rise in the last decade of the two model plants Arabidopsis and rice. Along with their genome sequences obtained respectively in 2000 for Arabidopsis and in 2005 for rice, functional genomics became possible because of the rapid development of their mutant libraries, full-length cDNA libraries, stock centers, web-accessible databases, and information portals, such as TAIR (The Arabidopsis Information Resource). Then, the development of high-throughput technological breakthroughs (e.g. DNA and protein array, mass spectrometry) helped to survey the omics state (transcriptome, proteome, and metabolome) of seeds at different developmental and environmental conditions. These approaches fuel candidate genes for seed quality (composition, germination vigor and capacity, good resistance to stress, etc.) that can be confirmed using functional genomics resources. Finally, exploitation of the confirmed candidate genes by plant breeders should improve seed nutritional quality and yield. In this chapter, we discuss how global “omics” technologies can help to find new candidate genes relevant for improvement of seed nutritional quality. Examples of omics application in unraveling the rice seed biology are particularly discussed. more...

The 19th International Conference on Arabidopsis Research was a successful meeting attended by 815 scientists from around the world including 322 from the United States, 146 attendees from Canada, 179 from Europe, 134 from Asia, and 34 from a combination of Australia, South America, Africa and the Middle East. The scientific program was of excellent quality featuring 64 talks, including 41 from invited speakers. The Keynote Lecture, delivered by Chris Somerville (Energy Biosciences Institute/UC Berkeley) was particularly relevant to US agriculture and energy research and was titled The Development of Cellulosic Biofuels. There were also 6 community-organized workshops featuring 30 additional talks on topics including Frontiers in Plant Systems Biology, Sources and strategies for Gene Structure, Gene Function, and Metabolic Pathway annotation at TAIR and AraCyc, Advanced Bioinformatic Resources for Arabidopsis, Laser Microtechniques and Applications with Arabidopsis, Plant Proteomics- Tools, Approaches, Standards and Breakthroughs in Studying the Proteome, and Phytohormone Biosynthesis and Signal Transduction. Conference organizers arranged a special seminar by Jim Collins (head of the Directorate of Biosciences at NSF) to provide a community discussion forum regarding the future of Arabidopsis research. Approximately 575 posters were presented in topic areas including, among others, Development, Signal Transduction, Cell Walls, Non-Arabidopsismore » Systems, and Interactions with Biotic and Abiotic Factors. All conference abstracts and the full program are posted at The Arabidopsis Information Resource (TAIR), a publicly-accessibly website (www.arabidopsis.org/news/abstracts.jsp.) A survey completed by approximately 40% of the meeting attendees showed high satisfaction with the quality of the presentations, meeting organization and the city of Montreal. The conference is the largest annual international Arabidopsis venue which allowed the exchange of information at the forefront of Arabidopsis research and facilitated the establishment of new, and the strengthening of old, collaborations and networks. In addition, the conference provides the site for the annual meetings of the Multinational Arabidopsis Steering Committee (MASC) and the North American Arabidopsis Steering Committee (NAASC.) Graduate students, postdoctoral researchers, junior faculty, and underrepresented minorities made up half of the oral presentations thereby promoting the training of young scientists and facilitating important career development opportunities for speakers. Several poster sessions provided an opportunity for younger participants to freely meet with more established scientists. The NAASC continued its outreach efforts and again sponsored two special luncheons to encourage personal and professional development of young scientists and underrepresented minorities. The Emerging Scientists Luncheon featured 8 graduate students selected on the basis of scientific excellence of their submitted research abstracts. Also attending were the Keynote Speaker and faculty conference organizers. The Minority Funding Luncheon, featured 7 awardees (2 female graduate students, 2 female faculty, 2 male graduate students and 1 male faculty) selected by the NAASC through a widely-publicized application process. This luncheon was established specifically to provide an opportunity for underrepresented minorities, and/or scientists from Minority-Serving Institutions/Historically Black Colleges and Universities to network with NAASC members and representatives from federal funding agencies in an informal and intimate setting. This luncheon included introductions of each award recipient and discussion of outreach efforts and informal research and career discussions. Staff members from The Arabidopsis Information Resource (TAIR), the public U.S. Arabidopsis bioinformatics resource, led one workshop and participated in another to convey information to the community about Arabidopsis resources. Participation by young researchers was facilitated through DOE-sponsored registration awards to 10 early career applicants from the US including five graduate students, four postdoctoral scholars and one new assistant faculty member.« less more...

As ecosystem engineers, seagrasses are angiosperms of paramount ecological importance in shallow shoreline habitats around the globe. Furthermore, the ancestors of independent seagrass lineages have secondarily returned into the sea in separate, independent evolutionary events. Thus, understanding the molecular adaptation of this clade not only makes significant contributions to the field of ecology, but also to principles of parallel evolution as well. With the use of Dr. Zompo, the first interactive seagrass sequence database presented here, new insights into the molecular adaptation of marine environments can be inferred. The database is based on a total of 14 597 ESTs obtained from two seagrass species, Zostera marina and Posidonia oceanica, which have been processed, assembled and comprehensively annotated. Dr. Zompo provides experimentalists with a broad foundation to build experiments and consider challenges associated with the investigation of this class of non-domesticated monocotyledon systems. Our database, based on the Ruby on Rails framework, is rich in features including the retrieval of experimentally determined heat-responsive transcripts, mining for molecular markers (SSRs and SNPs), and weighted key word searches that allow access to annotation gathered on several levels including Pfam domains, GeneOntology and KEGG pathways. Well established plant genome sites such as The Arabidopsis Information Resource (TAIR) and the Rice Genome Annotation Project are interfaced by Dr. Zompo. With this project, we have initialized a valuable resource for plant biologists in general and the seagrass community in particular. The database is expected to grow together with more data to come in the near future, particularly with the recent initiation of the Zostera genome sequencing project.The Dr. Zompo database is available at http://drzompo.uni-muenster.de/ more...

High-throughput techniques that have been established in the field of molecular biology in this decade have brought about vast amounts of sequence, expression and structure data for genes and proteins. One of these techniques, DNA array analysis, produces information on relative expression levels for thousands of genes simultaneously. In addition, large collections of DNA array data contain information about concerted changes in transcript levels in these datasets beyond the original purpose of each dataset. DNA array data have been collected in several general repositories, including ArrayExpress (I), Gene Expression Omnibus (GEO) (2) and the Center for Information Biology Gene Expression Database (CIBEX) (3). However, it is difficult for experimental researchers who lack bioinformatics expertise to retrieve the information as they want to do. For the model plant Arabidopsis thaliana, The Arabidopsis Information Resource (TAIR) (4) and the Nottingham Arabidopsis Stock Centre Arrays (NASCArrays) (5) are species-specific repositories for DNA array data. These datasets provide not only each gene response, but also systemic response by which plants might globally adapt for various stimuli. Since DNA array could provide a large set of expression data for more than thousand of genes simultaneously, these dataset could not be managed without the aid of computer. Moreover, several problems arise to be solved. How data quality of DNA array could be evaluated? How different data set obtained by independent series of more...

Databases and data repositories provide essential functions for the research community by integrating, curating, archiving and otherwise packaging data to facilitate discovery and reuse. Despite their importance, funding for maintenance of these resources is increasingly hard to obtain. Fueled by a desire to find long term, sustainable solutions to database funding, staff from the Arabidopsis Information Resource (TAIR), founded the nonprofit organization, Phoenix Bioinformatics, using TAIR as a test case for user-based funding. Subscription-based funding has been proposed as an alternative to grant funding but its application has been very limited within the nonprofit sector. Our testing of this model indicates that it is a viable option, at least for some databases, and that it is possible to strike a balance that maximizes access while still incentivizing subscriptions. One year after transitioning to subscription support, TAIR is self-sustaining and Phoenix is poised to expand and support additional resources that wish to incorporate user-based funding strategies. Database URL: www.arabidopsis.org. more...

Massively parallel sequencing of DNA by pyrosequencing technology offers much higher throughput and lower cost than conventional Sanger sequencing. Although extensively used already for sequencing of genomes, relatively few applications of massively parallel pyrosequencing to transcriptome analysis have been reported. To test the ability of this technology to provide unbiased representation of transcripts, we analyzed mRNA from Arabidopsis (Arabidopsis thaliana) seedlings. Two sequencing runs yielded 541,852 expressed sequence tags (ESTs) after quality control. Mapping of the ESTs to the Arabidopsis genome and to The Arabidopsis Information Resource 7.0 cDNA models indicated: (1) massively parallel pyrosequencing detected transcription of 17,449 gene loci providing very deep coverage of the transcriptome. Performing a second sequencing run only increased the number of genes identified by 10%, but increased the overall sequence coverage by 50%. (2) Mapping of the ESTs to their predicted full-length transcripts indicated that all regions of the transcript were well represented regardless of transcript length or expression level. Furthermore, short, medium, and long transcripts were equally represented. (3) Over 16,000 of the ESTs that mapped to the genome were not represented in the existing dbEST database. In some cases, the ESTs provide the first experimental evidence for transcripts derived from predicted genes, and, for at least 60 locations in the genome, pyrosequencing identified likely protein-coding sequences that are not now annotated as genes. Together, the results indicate massively parallel pyrosequencing provides novel information helpful to improve the annotation of the Arabidopsis genome. Furthermore, the unbiased representation of transcripts will be particularly useful for gene discovery and gene expression analysis of nonmodel plants with less complete genomic information. EST sequence accession numbers in GenBank are EH 795234 through EH 995233 and EL 000001 through EL 341852. more...

A major goal currently in Arabidopsis research is determination of the (biochemical) function of each of its ∼27,000 genes. To date, however, ⩽12% of its genes actually have known biochemical roles. In this study, we considered it instructive to identify the gene expression patterns of nine (so-called AtCAD1–9) of 17 genes originally annotated by The Arabidopsis Information Resource (TAIR) as cinnamyl alcohol dehydrogenase (CAD, EC 1.1.1.195) homologues [see Costa, M.A., Collins, R.E., Anterola, A.M., Cochrane, F.C., Davin, L.B., Lewis N.G., 2003. An in silico assessment of gene function and organization of the phenylpropanoid pathway metabolic networks in Arabidopsis thaliana and limitations thereof. Phytochemistry 64, 1097–1112.]. In agreement with our biochemical studies in vitro [Kim, S.-J., Kim, M.-R., Bedgar, D.L., Moinuddin, S.G.A., Cardenas, C.L., Davin, L.B., Kang, C.-H., Lewis, N.G., 2004. Functional reclassification of the putative cinnamyl alcohol dehydrogenase multigene family in Arabidopsis . Proc. Natl. Acad. Sci. USA 101, 1455–1460.], and analysis of a double mutant [Sibout, R., Eudes, A., Mouille, G., Pollet, B., Lapierre, C., Jouanin, L., Seguin A., 2005. Cinnamyl Alcohol Dehydrogenase-C and - D are the primary genes involved in lignin biosynthesis in the floral stem of Arabidopsis . Plant Cell 17, 2059–2076.], both AtCAD5 (At4g34230) and AtCAD4 (At3g19450) were found to have expression patterns consistent with development/formation of different forms of the lignified vascular apparatus, e.g. lignifying stem tissues, bases of trichomes, hydathodes, abscission zones of siliques, etc. Expression was also observed in various non-lignifying zones (e.g. root caps) indicative of, perhaps, a role in plant defense. In addition, expression patterns of the four CAD-like homologues were investigated, i.e. AtCAD2 (At2g21730), AtCAD3 (At2g21890), AtCAD7 (At4g37980) and AtCAD8 (At4g37990), each of which previously had been demonstrated to have low CAD enzymatic activity in vitro (relative to AtCAD4/5) [Kim, S.-J., Kim, M.-R., Bedgar, D.L., Moinuddin, S.G.A., Cardenas, C.L., Davin, L.B., Kang, C.-H., Lewis, N.G., 2004. Functional reclassification of the putative cinnamyl alcohol dehydrogenase multigene family in Arabidopsis . Proc. Natl. Acad. Sci. USA 101, 1455–1460.]. Neither AtCAD2 nor AtCAD3, however, were expressed in lignifying tissues, with the latter being found mainly in the meristematic region and non-lignifying root tips, i.e. indicative of involvement in biochemical processes unrelated to lignin formation. By contrast, AtCAD7 and AtCAD8 [surprisingly now currently TAIR-annotated as probable mannitol dehydrogenases, but for which there is still no biochemical or other evidence for same] displayed gene expression patterns largely resembling those of AtCAD4/5, i.e. indicative perhaps of a quite minor role in monolignol/lignin formation. Lastly, AtCAD1 (At1g72680), AtCAD6 (At4g37970) and AtCAD9 (At4g39330), which lacked detectable CAD catalytic activities in vitro, were also expressed predominantly in vascular (lignin-forming) tissues. While their actual biochemical roles remain unknown, definition of their expression patterns, nevertheless, now begins to provide useful insights into potential biochemical/physiological functions, as well as the cell types in which they are expressed. These data thus indicate that the CAD metabolic network is composed primarily of AtCAD4/5 and may provisionally, to a lesser extent, involve AtCAD7/8 based on in vitro catalytic properties and (promoter regions selected to obtain) representative gene expression patterns. This analysis has, therefore, enabled us to systematically map out bona fide CAD gene involvement in both the assembly and differential emergence of the various component parts of the lignified vascular apparatus in Arabidopsis , as well as those having other (e.g. putative plant defense) functions. The data obtained also further underscore the ongoing difficulties and challenges as regards current limitations in gene annotations versus actual determination of gene function. This is exemplified by the annotation of AtCAD2, 3 and 6–9 as purported mannitol dehydrogenases, when, for example, no in vitro studies have been carried out to establish such a function biochemically. Such annotations should thus be discontinued in the absence of reliable biochemical and/or other physiological confirmation. In particular, AtCAD2, 3, 6 and 9 should be designated as dehydrogenases of unknown function. Just as importantly, the different patterns of gene expression noted during distinct phases of growth and development in specific cells/tissues gives insight into the study of the roles that these promoters have. more...

In the era of genomics, if a gene is not annotated, it is not investigated. Due to their small size, genes encoding peptides are often missed in genome annotations. Secreted peptides are important regulators of plant growth, development, and physiology. Identification of additional peptide signals by sequence homology searches has had limited success due to sequence heterogeneity. A bioinformatics approach was taken to find unannotated Arabidopsis (Arabidopsis thaliana) peptides. Arabidopsis chromosome sequences were searched for all open reading frames (ORFs) encoding peptides and small proteins between 25 and 250 amino acids in length. The translated ORFs were then sequentially queried for the presence of an amino-terminal cleavable signal peptide, the absence of transmembrane domains, and the absence of endoplasmic reticulum lumenal retention sequences. Next, the ORFs were filtered against the The Arabidopsis Information Resource 6.0 annotated Arabidopsis genes to remove those ORFs overlapping known genes. The remaining 33,809 ORFs were placed in a relational database to which additional annotation data were deposited. Genome-wide tiling array data were compared with the coordinates of the ORFs, supporting the possibility that many of the ORFs may be expressed. In addition, clustering and sequence similarity analyses revealed that many of the putative peptides are in gene families and/or appear to be present in the rice (Oryza sativa) genome. A subset of the ORFs was evaluated by reverse transcription-PCR and, for one-fifth of those, expression was detected. These results support the idea that the number and diversity of plant peptides is broader than currently assumed. The peptides identified and their annotation data may be viewed or downloaded through a searchable Web interface at peptidome.missouri.edu. more...

We introduce a tool for text mining, Dragon Plant Biology Explorer (DPBE) that integrates information on Arabidopsis (Arabidopsis thaliana) genes with their functions, based on gene ontologies and biochemical entity vocabularies, and presents the associations as interactive networks. The associations are based on (1) user-provided PubMed abstracts; (2) a list of Arabidopsis genes compiled by The Arabidopsis Information Resource; (3) user-defined combinations of four vocabulary lists based on the ones developed by the general, plant, and Arabidopsis GO consortia; and (4) three lists developed here based on metabolic pathways, enzymes, and metabolites derived from AraCyc, BRENDA, and other metabolism databases. We demonstrate how various combinations can be applied to fields of (1) gene function and gene interaction analyses, (2) plant development, (3) biochemistry and metabolism, and (4) pharmacology of bioactive compounds. Furthermore, we show the suitability of DPBE for systems approaches by integration with “omics” platform outputs. Using a list of abiotic stress-related genes identified by microarray experiments, we show how this tool can be used to rapidly build an information base on the previously reported relationships. This tool complements the existing biological resources for systems biology by identifying potentially novel associations using text analysis between cellular entities based on genome annotation terms. Thus, it allows researchers to efficiently summarize existing information for a group of genes or pathways, so as to make better informed choices for designing validation experiments. Last, DPBE can be helpful for beginning researchers and graduate students to summarize vast information in an unfamiliar area. DPBE is freely available for academic and nonprofit users at http://research.i2r.a-star.edu.sg/DRAGON/ME2/. more...

The Arabidopsis Information Resource (TAIR; http://www.arabidopsis.org) is a comprehensive Web resource of Arabidopsis biology for plant scientists. TAIR curates and integrates information about genes, proteins, gene expression, mutant phenotypes, biological materials such as DNA and seed stocks, genetic markers, genetic and physical maps, biochemical pathways, genome organization, images of mutant plants and protein sub-cellular localizations, publications, and the research community Data in TAIR are extensively interconnected and can be accessed through a variety of Web-based search and display tools. This unit primarily focuses on some basic methods for searching, browsing, visualizing, and analyzing information about Arabidopsis genes. Gene expression data from microarrays is a recent addition to the database and methods for accessing these data are also described. Two pattern identification programs are described for mining TAIR's unique Arabidopsis sequence data sets. We also describe how to use AraCyc for mining plant metabolic pathways. more...

The Arabidopsis Information Resource (TAIR) is a highly sophisticated, extensive, user friendly, Web-based resource for researchers working on the model plant Arabidopsis thaliana. The main gateway to this resource is through TAIR's homepage http://www.arabidopsis.org. It is a repository of large amounts of data including gene, mapping, protein, expression and community data in the form of a relational database. These data can be searched, downloaded and analysed using the tools provided. Here, the simple search (for retrieval of information), Seq Viewer (for the visualization of the five Arabidopsis chromosomes and associated annotations) and AraCyc (database of Arabidopsis biochemical pathways, with a graphical overview onto which large data sets, such as gene expression data, can be overlaid) tools are described with examples. more...

The representation of biological knowledge in databases is a necessity for modern biomedical research. Historically, there has been very little collaboration or coordination between different database providers. Although many grandiose schemes for the "integration" of biological databases have been proposed over the years, none have been practical to the point of implementation. Yet the need for integration remains, as many biologists, both those at the bench and those who analyse data computationally, wish to integrate data from a diversity of sources. The Gene Ontology Consortium (GOC) began, some seven years ago, to develop a resource that could be used by both the model organism databases (e.g. FlyBase, WormBase, Mouse Genome Database, The Arabidopsis Information Resource) and the large "horizontal" databases (e.g. UniProt, GeneDB, TIGR Gene Index) as a standard for the annotation of gene products. The GOC now maintains several structured controlled vocabularies for the annotation of gene products. The first three of these are used for the annotation of gene products with respect to these domains: their molecular function, their cellular location and the biological processes in which they are involved. This database of nearly 18,000 terms is now used for the annotation of the gene products of all of the major experimental eukaryotes and many prokaryotes. The philosophy of the GOC is now being extended to cover further domains of biological knowledge. Under the umbrella of "obo" (open biological ontologies) structured controlled vocabularies are now available, or are being developed, for sequence annotation, anatomies and development, cells and tissues, mouse pathology and experimental treatments. In this talk I will discuss how the concept of ontologies can be used for the intelligent design of database schema, and for the development of common tools for data exchange. I will also discuss some of the major limitations of the current models of data representation used by the GO Consortium, and proposals that will make the design of ontologies for shared use both more flexible and powerful. more...

Classification of proteins into families is one of the main goals of functional analysis. Proteins are usually assigned to a family on the basis of the presence of family-specific patterns, domains, or structural elements. Whereas proteins belonging to the same family are generally similar to each other, the extent of similarity varies widely across families. Some families are characterized by short, well-defined motifs, whereas others contain longer, less-specific motifs. We present a simple method for visualizing such differences. We applied our method to the Arabidopsis thaliana families listed at The Arabidopsis Information Resource (TAIR) Web site and for 76% of the nontrivial families (families with more than one member), our method identifies simple similarity measures that are necessary and sufficient to cluster members of the family together. Our visualization method can be used as part of an annotation pipeline to identify potentially incorrectly defined families. We also describe how our method can be extended to identify novel families and to assign unclassified proteins into known families. more...

AraCyc is a database containing biochemical pathways of Arabidopsis, developed at The Arabidopsis Information Resource (http://www.arabidopsis.org). The aim of AraCyc is to represent Arabidopsis metabolism as completely as possible with a user-friendly Web-based interface. It presently features more than 170 pathways that include information on compounds, intermediates, cofactors, reactions, genes, proteins, and protein subcellular locations. The database uses Pathway Tools software, which allows the users to visualize a bird's eye view of all pathways in the database down to the individual chemical structures of the compounds. The database was built using Pathway Tools' Pathologic module with MetaCyc, a collection of pathways from more than 150 species, as a reference database. This initial build was manually refined and annotated. More than 20 plant-specific pathways, including carotenoid, brassinosteroid, and gibberellin biosyntheses have been added from the literature. A list of more than 40 plant pathways will be added in the coming months. The quality of the initial, automatic build of the database was compared with the manually improved version, and with EcoCyc, an Escherichia coli database using the same software system that has been manually annotated for many years. In addition, a Perl interface, PerlCyc, was developed that allows programmers to access Pathway Tools databases from the popular Perl language. AraCyc is available at the tools section of The Arabidopsis Information Resource Web site (http://www.arabidopsis.org/tools/aracyc). more...

In the past 20 years, Arabidopsis has been used worldwide as the most important model plant to analyze all essential plant functions. In 2000, the Arabidopsis genome sequence was determined with high reliability by the Arabidopsis Genome Initiative (AGI) groups (Arabidopsis Genome Initiative 2000). This Arabidopsis genome sequence has provided fundamental knowledge for plant scientists to analyze genomic information related to all essential functions. After the determination of the Arabidopsis genome sequence in 2000, the Arabidopsis 2010 project, an international cooperative effort, started analyzing all the coding and noncoding genes and their regulatory networks based on genomics and mutant resources. In the United States, the National Science Foundation (NSF) has supported this large project for 10 years, which has been quite successful in promoting not only Arabidopsis research but also plant and crop sciences (see http://www.arabidopsis.org/portals/ masc/projects.jsp). Similar functional genomics projects also started in Europe, Japan, and other parts of the world after 2000. In the international 2010 project, various genomic and mutant resources have been developed and deposited in resource centers. ABRC (http://www.biosci. ohio-state.edu/*plantbio/Facilities/abrc/abrchome.htm) and NASC (http://arabidopsis.info/) are major Arabidopsis resource centers established in 1991 in the United States and Europe, respectively. The Arabidopsis Information Resource (TAIR) is an important portal site for genome information, various databases, resources, and other useful information for Arabidopsis researchers (http://www. arabidopsis.org/). Most plant scientists will agree that the year 2000 was a turning point in the direction of plant research during these past 10 years. For that reason, 2010 is a year of commemoration and celebration for the success of the Arabidopsis 2010 project in the next stage of plant science and crop biotechnology. We are pleased to host the 21st International Conference on Arabidopsis Research (ICAR2010) at Yokohama, Japan, June 6–10, 2010 (http://arabidopsis2010.psc.riken. jp/index.html). The ICAR is the annual international conference on Arabidopsis thaliana, in which participants present and discuss their latest research results obtained mainly with Arabidopsis. Approximately 800 scientists are expected to participate in the ICAR2010. Because this is the final year of the 2010 project, there will be many excellent presentations and posters reporting the fruitful results of the project. An important message of the ICAR2010 is ‘‘2010 and beyond: Arabidopsis as basic knowledge for the understanding of whole plant functions and translational research to solve global problems.’’ The following points are noteworthy more...