Interview With Michael Bevan: The Arabidopsis Genome is Sequenced,What Next?

Professor Michael Bevan is at the John Innes Centre, Norwich, UK, where he is Head of the Cell and Developmental Biology Department. He was the co-ordinator of the European Union Arabidopsis Genome Sequencing Consortium, which contributed to the sequence and analysis of the complete Arabidopsis genome that was published late last year. He is the co-ordinator of the EC funded EXOTIC program and is also a member of GARNet and UK CropNet. (For more background detail on these projects, please see our Featured Organism: Arabidopsis thaliana piece, also in this issue of CFG, or visit the websites listed below).     

Finding the functional gems in plant genomes

A report on the joint second Plant Genomics European Meeting (Plant GEMs) and fourth Genomic Arabidopsis Resource Network (GARNet) meeting, York, UK, 3-6 September 2003.     

The impact of Arabidopsis research on plant biotechnology

Arabidopsis thaliana, a small annual weed belonging to the mustard family, has become a widely used model in plant genetic research. It has a small genome, short life cycle, and is easy to mutagenize. Identification of genes based on phenotype alone, often a rather difficult part of molecular genetic research, is easiest in this plant. Laboratories working on the "model" plant Arabidopsis thaliana have created a network for sharing resources and ideas, so progress has been rapid. The importance of this plant to biotechnology is that genes isolated from Arabidopsis can be used to find their homologs in crop plants. Likewise, fundamental mechanisms can be understood in a model plant, and applied in crop plants.     

VIZARD: analysis of Affymetrix Arabidopsis GeneChip data

SUMMARY: The Affymetrix GeneChip Arabidopsis genome array has proved to be a very powerful tool for the analysis of gene expression in Arabidopsis thaliana, the most commonly studied plant model organism. VIZARD is a Java program created at the University of California, Berkeley, to facilitate analysis of Arabidopsis GeneChip data. It includes several integrated tools for filtering, sorting, clustering and visualization of gene expression data as well as tools for the discovery of regulatory motifs in upstream sequences. VIZARD also includes annotation and upstream sequence databases for the majority of genes represented on the Affymetrix Arabidopsis GeneChip array. AVAILABILITY: VIZARD is available free of charge for educational, research, and not-for-profit purposes, and can be downloaded at http://www.anm.f2s.com/research/vizard/ CONTACT: moseyko@uclink4.berkeley.edu     

An International Bioinformatics Infrastructure to Underpin the Arabidopsis Community

The future bioinformatics needs of the Arabidopsis community as well as those of other scientific communities that depend on Arabidopsis resources were discussed at a pair of recent meetings held by the Multinational Arabidopsis Steering Committee and the North American Arabidopsis Steering Committee. There are extensive tools and resources for information storage, curation, and retrieval of Arabidopsis data that have been developed over recent years primarily through the activities of The Arabidopsis Information Resource, the Nottingham Arabidopsis Stock Centre, and the Arabidopsis Biological Resource Center, among others. However, the rapid expansion in many data types, the international basis of the Arabidopsis community, and changing priorities of the funding agencies all suggest the need for changes in the way informatics infrastructure is developed and maintained. We propose that there is a need for a single core resource that is integrated into a larger international consortium of investigators. We envision this to consist of a distributed system of data, tools, and resources, accessed via a single information portal and funded by a variety of sources, under shared international management of an International Arabidopsis Informatics Consortium (IAIC). This article outlines the proposal for the development, management, operations, and continued funding for the IAIC.The Multinational Arabidopsis Steering Committee (MASC) and the North American Arabidopsis Steering Committee (NAASC) hosted workshops in Nottingham, UK (April 15 to 16, 2010) and Washington DC (May 10 to 11, 2010) to consider the future bioinformatics needs of the Arabidopsis community as well as other science communities that depend vitally on Arabidopsis resources. The outcomes of both workshops were presented and discussed at the International Conference on Arabidopsis Research (ICAR) in Yokohama, Japan. The focus of the workshops was on Arabidopsis because of its unique and essential role as a reference organism for all seed plant species. The development of the highly annotated “gold standard” Arabidopsis genome sequence has been an invaluable resource for plant and crop sciences. This platform provides important information and working practices for other species and for comparative genomic and evolutionary studies. Arabidopsis tools and resources for information storage, curation, and retrieval have been developed over recent years primarily through the activities of The Arabidopsis Information Resource (TAIR), the Nottingham Arabidopsis Stock Centre (NASC), and the Arabidopsis Biological Resource Center, among others. However, the Arabidopsis community and funding agencies recognize the need for a single data management infrastructure. The key challenge is to develop and fund this resource in a sustainable and transparent manner.Global challenges surrounding food and energy security require intelligent plant breeding strategies that will be dependent on a central Arabidopsis information resource to aid our understanding of gene function and associated phenotype in many different environments. The knowledge accrued in Arabidopsis informs our understanding of the genetic basis of plant processes and crop traits. To date, this has accumulated primarily through analysis of single genes. However, gene products do not act alone but rather in complex interacting networks. Thus, the challenge for the Arabidopsis community is to understand this higher level of complexity, to a significant extent through the application of new high volume, quantitative experimental techniques. The goals of these efforts are to develop gene/protein/metabolite networks that will enable systems-level modeling of plant processes and ultimately to translate these findings to crop plants. To achieve these goals, we must develop novel approaches to data management, integration, and access.The UK workshop addressed three principal issues: the types of data generated by the Arabidopsis community, the types of data used by the community, and future needs of the community. The objective was to produce recommendations for the type of infrastructure necessary to address the challenges and opportunities associated with the application of new technologies and recommendations for a sustainable funding model to support this infrastructure. These recommendations were considered and expanded upon at the US workshop with the ultimate goal of generating solutions to the issues discussed in the first meeting. It was recognized that cohesive, cooperative, and long-term international collaboration will be critical to successfully maintain an Arabidopsis database infrastructure that is essential for plant biology research worldwide.The workshop participants concluded that there is a continued need for a central Arabidopsis information resource, based on the productivity of the Arabidopsis community and the critical importance of the findings generated by this community. For example, ∼3000 Arabidopsis publications are currently published in peer-reviewed journals each year, a nearly 10-fold increase since the early 1990s; and in 2009, TAIR was accessed by 335,692 unique visitors and had nearly 20 million page views. Furthermore, the importance of a current, well-organized, and carefully curated Arabidopsis genome to researchers studying other plants, including crops, cannot be overstated. In the future, this resource should be part of a larger infrastructure that would be dynamic and responsive to new directions in plant biology research.     

Communal weeding

A report on the first annual Genomic Arabidopsis Resource Network (GARNet) meeting, York, UK, 2-3 October, 2000.     

Web-based platform for patient dose surveys in diagnostic and interventional radiology in Bulgaria: Functionality testing and optimisation

In the period 2013–2016 the National Centre of Radiobiology and Radiation Protection (NCRRP) at the Ministry of Health of Bulgaria has developed a web based platform for performing national patient dose surveys and establishing Diagnostic Reference Levels (DRLs). It is accessible via internet browser, allowing the users to submit data remotely. Electronic questionnaires, specific for radiography, fluoroscopy, image guided interventional procedures, mammography and CT, were provided. Short and clear manuals were added to guide users and minimise human errors. The web-based data collection platform is functional and is currently being used for performing the third national dose survey in Bulgaria, launched in 2016. Data analysis is facilitated due to the standardisation of collected data and their storing. Using the platform, the participating facilities can establish their typical dose levels based on the median value, and compare them to DRLs. A disadvantage of the platform is the need to enter data manually, but it is opened for future upgrades for automatic data harvesting and analysis. Various practical approaches were used to overcome the lack of qualified human resources and insufficient understanding of the DRL and dose tracking concept and to motivate facilities to submit data.     

Arabidopsis to rice. Applying knowledge from a weed to enhance our understanding of a crop species

Although Arabidopsis is well established as the premiere model species in plant biology, rice (Oryza sativa) is moving up fast as the second-best model organism. In addition to the availability of large sets of genetic, molecular, and genomic resources, two features make rice attractive as a model species: it represents the taxonomically distinct monocots and is a crop species. Plant structural genomics was pioneered on a genome-scale in Arabidopsis and the lessons learned from these efforts were not lost on rice. Indeed, the sequence and annotation of the rice genome has been greatly accelerated by method improvements made in Arabidopsis. For example, the value of full-length cDNA clones and deep expressed sequence tag resources, obtained in Arabidopsis primarily after release of the complete genome, has been recognized by the rice genomics community. For rice >250,000 expressed sequence tags and 28,000 full-length cDNA sequences are available prior to the completion of the genome sequence. With respect to tools for Arabidopsis functional genomics, deep sequence-tagged lines, inexpensive spotted oligonucleotide arrays, and a near-complete whole genome Affymetrix array are publicly available. The development of similar functional genomics resources for rice is in progress that for the most part has been more streamlined based on lessons learned from Arabidopsis. Genomic resource development has been essential to set the stage for hypothesis-driven research, and Arabidopsis continues to provide paradigms for testing in rice to assess function across taxonomic divisions and in a crop species.     

A hard lesson for Europeans: the ASEAN CDC

Despite the growing threat of major pandemics, the European Union is planning no more than a meager surveillance agency staffed with 70 people on the 2007 horizon: the new European Centre for Disease Control. I argue that an effective structure should be much larger and include a strong research activity. Asian countries, inspired by the US CDC, are now taking this concept in hand and creating an ASEAN Center For Disease Control, with sophisticated laboratory facilities to be included. This is a tough lesson for us Europeans, and our avarice in this domain could have tragic consequences in the future.     

From bench to bountiful harvests: a road map for the next decade of Arabidopsis research

In the face of an increasing world population and climate instability, the demands for food and fuel will continue to rise. Plant science will be crucial to help meet these exponentially increasing requirements for food and fuel supplies. Fundamental plant research will play a major role in providing key advances in our understanding of basic plant processes that can then flow into practical advances through knowledge sharing and collaborations. The model plant Arabidopsis thaliana has played a major role in our understanding of plant biology, and the Arabidopsis community has developed many tools and resources to continue building on this knowledge. Drawing from previous experience of internationally coordinated projects, The international Arabidopsis community, represented by the Multinational Arabidopsis Steering Committee (MASC), has drawn up a road map for the next decade of Arabidopsis research to inform scientists and decision makers on the future foci of Arabidopsis research within the wider plant science landscape. This article provides a summary of the MASC road map.     

The NIDDK Information Network: A Community Portal for Finding Data,Materials, and Tools for Researchers Studying Diabetes,Digestive, and Kidney Diseases

The NIDDK Information Network (dkNET; http://dknet.org) was launched to serve the needs of basic and clinical investigators in metabolic, digestive and kidney disease by facilitating access to research resources that advance the mission of the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK). By research resources, we mean the multitude of data, software tools, materials, services, projects and organizations available to researchers in the public domain. Most of these are accessed via web-accessible databases or web portals, each developed, designed and maintained by numerous different projects, organizations and individuals. While many of the large government funded databases, maintained by agencies such as European Bioinformatics Institute and the National Center for Biotechnology Information, are well known to researchers, many more that have been developed by and for the biomedical research community are unknown or underutilized. At least part of the problem is the nature of dynamic databases, which are considered part of the “hidden” web, that is, content that is not easily accessed by search engines. dkNET was created specifically to address the challenge of connecting researchers to research resources via these types of community databases and web portals. dkNET functions as a “search engine for data”, searching across millions of database records contained in hundreds of biomedical databases developed and maintained by independent projects around the world. A primary focus of dkNET are centers and projects specifically created to provide high quality data and resources to NIDDK researchers. Through the novel data ingest process used in dkNET, additional data sources can easily be incorporated, allowing it to scale with the growth of digital data and the needs of the dkNET community. Here, we provide an overview of the dkNET portal and its functions. We show how dkNET can be used to address a variety of use cases that involve searching for research resources.     

Genomic analysis and expression investigation of caleosin gene family in Arabidopsis

Caleosin is a common lipid-droplet surface protein, which has the ability to bind calcium. Arabidopsis (Arabidopsis thaliana) is considered a model organism in plant researches. Although there are growing researches about caleosin in the past few years, a systemic analysis of caleosins in Arabidopsis is still scarce. In this study, a comprehensive investigation of caleosins in Arabidopsis was performed by bioinformatics methods. Firstly, eight caleosins in Arabidopsis are divided into two types, L-caleosin and H-caleosin, according to their molecular weights, and these two types of caleosin have many differences in characteristics. Secondly, phylogenetic tree result indicates that L-caleosin may evolve from H-caleosin. Thirdly, duplication pattern analysis shows that segmental and tandem duplication are main reasons for Arabidopsis caleosin expansion with the equal part. Fourthly, the expression profiles of caleosins are also investigated in silico in different organs and under various stresses and hormones. In addition, based on promoter analysis, caleosin may be involved in calcium signal transduction and lipid accumulation. Thus, the classification and expression analysis of caleosin genes in Arabidopsis provide facilities to the research of phylogeny and functions in this gene family.     

A fortunate choice: the history of Arabidopsis as a model plant

During the past 20 years, the flowering plant Arabidopsis thaliana has been adopted as a model organism by thousands of biologists. This community has developed important tools, resources and experimental approaches that have greatly stimulated plant biological research. Here, we review some of the key events that led to the uptake of Arabidopsis as a model plant and to the growth of the Arabidopsis community.     

Proteomics in Drosophila melanogaster.

To be able to understand cellular mechanisms, we require fully integrated data sets combining information about gene expression, protein expression, post-translational modification states, sub-cellular location and complex formation. Proteomics is a very powerful technique that can be applied to interrogate changes at the protein level. Studying this effectively requires specialised facilities within research institutes. Here, we describe the setting up and operation of such a facility, providing a resource for the Arabidopsis and Drosophila research communities.     

Improved plant transformation vectors for fluorescent protein tagging

Fluorescent protein labelling technologies enable dynamic protein actions to be imaged in living cells and can also be used in conjunction with other methods such as Forster resonance energy transfer and biomolecular fluorescence complementation. In this report, we describe the generation of a series of 23 novel GATEWAY-compatible vectors based on pGreenII and pDH51 backbones with the latest fluorescent protein tags (Cerulean, EGFP and Venus) and the choice of three in planta selection markers. These vectors can be obtained from the Nottingham Arabidopsis Stock Centre (N9819-N9846) and should be a powerful tool box for transgenic research in plants.     

Reflections of an Ethnographic Filmmaker-Maker: An Interview with Paul Henley, Director of the Granada Centre for Visual Anthropology, University of Manchester

ABSTRACT  Two decades ago the Granada Centre for Visual Anthropology (GCVA) at the University of Manchester, U.K., was created. Since then it has become one of the most acclaimed postgraduate visual anthropology schools in the world, providing a space for theoretical debate and training in ethnographic filmmaking techniques. Conceived originally as a master's program under the sponsorship of Granada Television and the University of Manchester, it has now extended training to the Ph.D. level to students from around the world. In this interview, Professor Paul Henley, GCVA's director since its inception, reflects on the last 20 years of the Granada Centre, ethnographic filmmaking, the state of the art in theory and practice in visual anthropology, and new possibilities and challenges for the future. [Keywords: visual anthropology, ethnographic filmmaking, documentary, Granada Centre for Visual Anthropology]     

MASCP Gator: an aggregation portal for the visualization of Arabidopsis proteomics data

Proteomics has become a critical tool in the functional understanding of plant processes at the molecular level. Proteomics-based studies have also contributed to the ever-expanding array of data in modern biology, with many generating Web portals and online resources that contain incrementally expanding and updated information. Many of these resources reflect specialist research areas with significant and novel information that is not currently captured by centralized repositories. The Arabidopsis (Arabidopsis thaliana) community is well served by a number of online proteomics resources that hold an abundance of functional information. These sites can be difficult to locate among a multitude of online resources. Furthermore, they can be difficult to navigate in order to identify specific features of interest without significant technical knowledge. Recently, members of the Arabidopsis proteomics community involved in developing many of these resources decided to develop a summary aggregation portal that is capable of retrieving proteomics data from a series of online resources on the fly. The Web portal is known as the MASCP Gator and can be accessed at the following address: http://gator.masc-proteomics.org/. Significantly, proteomics data displayed at this site retrieve information from the data repositories upon each request. This means that information is always up to date and displays the latest data sets. The site also provides hyperlinks back to the source information hosted at each of the curated databases to facilitate more in-depth analysis of the primary data.