FlyBase: a guided tour of highlighted features

FlyBase provides a centralized resource for the genetic and genomic data of Drosophila melanogaster. As FlyBase enters our fourth decade of service to the research community, we reflect on our unique aspects and look forward to our continued collaboration with the larger research and model organism communities. In this study, we emphasize the dedicated reports and tools we have constructed to meet the specialized needs of fly researchers but also to facilitate use by other research communities. We also highlight ways that we support the fly community, including an external resources page, help resources, and multiple avenues by which researchers can interact with FlyBase.     

Condor-G: A Computation Management Agent for Multi-Institutional Grids

In recent years, there has been a dramatic increase in the number of available computing and storage resources. Yet few tools exist that allow these resources to be exploited effectively in an aggregated form. We present the Condor-G system, which leverages software from Globus and Condor to enable users to harness multi-domain resources as if they all belong to one personal domain. We describe the structure of Condor-G and how it handles job management, resource selection, security, and fault tolerance. We also present results from application experiments with the Condor-G system. We assert that Condor-G can serve as a general-purpose interface to Grid resources, for use by both end users and higher-level program development tools.     

Eye development at the Houston "Fly Meeting"

The 47th Annual Drosophila Research Conference or "Fly Meeting" took place at Houston, Texas, USA from March 29th- April 2nd, 2006, under the aegis of the Genetics Society of America. The Fly Meeting provides an excellent opportunity for fly researchers to present their work and to get a snapshot of recent developments and upcoming trends in their research field. The fruit fly, Drosophila melanogaster is a very versatile model to study growth, patterning, neural development, evolution, systemetics and various other facets of biomedical science. The topics presented in the meeting covered a very broad spectrum of fly research. In this commentary, I have focused mainly on the presentations related to two fields: 1) research in various fields that use the Drosophila eye as a model system, and 2) the community resources available to all fly researchers.     

pyResearchInsights—An open‐source Python package for scientific text analysis

1. With an increasing number of scientific articles published each year, there is a need to synthesize and obtain insights across ever‐growing volumes of literature. Here, we present pyResearchInsights, a novel open‐source automated content analysis package that can be used to analyze scientific abstracts within a natural language processing framework.
2. The package collects abstracts from scientific repositories, identifies topics of research discussed in these abstracts, and presents interactive concept maps to visualize these research topics. To showcase the utilities of this package, we present two examples, specific to the field of ecology and conservation biology.
3. First, we demonstrate the end‐to‐end functionality of the package by presenting topics of research discussed in 1,131 abstracts pertaining to birds of the Tropical Andes. Our results suggest that a large proportion of avian research in this biodiversity hotspot pertains to species distributions, climate change, and plant ecology.
4. Second, we retrieved and analyzed 22,561 abstracts across eight journals in the field of conservation biology to identify twelve global topics of conservation research. Our analysis shows that conservation policy and landscape ecology are focal topics of research. We further examined how these conservation‐associated research topics varied across five biodiversity hotspots.
5. Lastly, we compared the utilities of this package with existing tools that carry out automated content analysis, and we show that our open‐source package has wider functionality and provides end‐to‐end utilities that seldom exist across other tools.

     

Programs,databases, and expert systems for human geneticists — a survey

We present an overview of the variety of databases and programs that offer substantial aid to medical and molecular geneticists. Databases and expert systems for genetic diseases and birth defects, programs for segregation and linkage analysis, certain DNA and protein sequence databases, and information resources in general for molecular biology are addressed. These systems cannot be used effectively without the newly developed techniques of information exchange based on international computer networks. A short introduction is given to the Internet and to European institutions and organizations that offer help with the aquisition and use of bioinformatic resources.     

TLM-Converter: reorganization of long time-lapse microscopy datasets for downstream image analysis

Automated microscopy enables in vivo studies in developmental biology over long periods of time. Time-lapse recordings in three or more dimensions to study the dynamics of developmental processes can produce huge data sets that extend into the terabyte range. However, depending on the available computational resources and software design, downstream processing of very large image data sets can become highly inefficient, if not impossible. To address the lack of available open source and commercial software tools to efficiently reorganize time-lapse data on a desktop computer with limited system resources, we developed TLM-Converter. The software either fragments oversized files or concatenates multiple files representing single time frames and saves the output files in open standard formats. Our application is undemanding on system resources as it does not require the whole data set to be loaded into the system memory. We tested our tool on time-lapse data sets of live Drosophila specimens recorded by laser scanning confocal microscopy. Image data reorganization dramatically enhances the productivity of time-lapse data processing and allows the use of downstream image analysis software that is unable to handle large data sets of ≥2 GB. In addition, saving the outputs in open standard image file formats enables data sharing between independently developed software tools.     

Open Source Tracking and Analysis of Adult Drosophila Locomotion in Buridan's Paradigm with and without Visual Targets

Background

Insects have been among the most widely used model systems for studying the control of locomotion by nervous systems. In Drosophila, we implemented a simple test for locomotion: in Buridan''s paradigm, flies walk back and forth between two inaccessible visual targets [1]. Until today, the lack of easily accessible tools for tracking the fly position and analyzing its trajectory has probably contributed to the slow acceptance of Buridan''s paradigm.

Methodology/Principal Findings

We present here a package of open source software designed to track a single animal walking in a homogenous environment (Buritrack) and to analyze its trajectory. The Centroid Trajectory Analysis (CeTrAn) software is coded in the open source statistics project R. It extracts eleven metrics and includes correlation analyses and a Principal Components Analysis (PCA). It was designed to be easily customized to personal requirements. In combination with inexpensive hardware, these tools can readily be used for teaching and research purposes. We demonstrate the capabilities of our package by measuring the locomotor behavior of adult Drosophila melanogaster (whose wings were clipped), either in the presence or in the absence of visual targets, and comparing the latter to different computer-generated data. The analysis of the trajectories confirms that flies are centrophobic and shows that inaccessible visual targets can alter the orientation of the flies without changing their overall patterns of activity.

Conclusions/Significance

Using computer generated data, the analysis software was tested, and chance values for some metrics (as well as chance value for their correlation) were set. Our results prompt the hypothesis that fixation behavior is observed only if negative phototaxis can overcome the propensity of the flies to avoid the center of the platform. Together with our companion paper, we provide new tools to promote Open Science as well as the collection and analysis of digital behavioral data.     

An update on data standards for gel electrophoresis

The use of gel electrophoresis to separate and, in some instances, to quantify the abundance of large numbers of proteins from complex mixtures, has been well established for several decades. The quantity of publicly available data is still relatively modest due to a lack of community accepted data standards, tools to facilitate the data sharing process and controlled vocabularies to ensure that consistent terminology is used to describe the experimental methodology. It is becoming widely recognised that there are significant benefits in data sharing for proteomics, allowing results to be verified and new findings to be generated by re-analysis of published studies. We report on standards development by the Gel Analysis Workgroup of the Proteomics Standards Initiative. The workgroup develops reporting requirements, data formats and controlled vocabularies for experimental gel electrophoresis, and informatics performed on gel images. We present a tutorial on how such resources can be used and how the community should get involved with the on-going projects. Finally, we present a roadmap for future developments in this area.     

A versatile strategy for gene trapping and trap conversion in emerging model organisms

Genetic model organisms such as Drosophila, C. elegans and the mouse provide formidable tools for studying mechanisms of development, physiology and behaviour. Established models alone, however, allow us to survey only a tiny fraction of the morphological and functional diversity present in the animal kingdom. Here, we present iTRAC, a versatile gene-trapping approach that combines the implementation of unbiased genetic screens with the generation of sophisticated genetic tools both in established and emerging model organisms. The approach utilises an exon-trapping transposon vector that carries an integrase docking site, allowing the targeted integration of new constructs into trapped loci. We provide proof of principle for iTRAC in the emerging model crustacean Parhyale hawaiensis: we generate traps that allow specific developmental and physiological processes to be visualised in unparalleled detail, we show that trapped genes can be easily cloned from an unsequenced genome, and we demonstrate targeting of new constructs into a trapped locus. Using this approach, gene traps can serve as platforms for generating diverse reporters, drivers for tissue-specific expression, gene knockdown and other genetic tools not yet imagined.     

Mining the genomes of plant pathogenic bacteria: how not to drown in gigabases of sequence

Hundreds of bacterial genomes including the genomes of dozens of plant pathogenic bacteria have been sequenced. These genomes represent an invaluable resource for molecular plant pathologists. In this review, we describe different approaches that can be used for mining bacterial genome sequences and examples of how some of these approaches have been used to analyse plant pathogen genomes so far. We review how genomes can be mined one by one and how comparative genomics of closely related genomes releases the true power of genomics. Databases and tools useful for genome mining that are publicly accessible on the Internet are also described. Finally, the need for new databases and tools to efficiently mine today's plant pathogen genomes and hundreds more in the near future is discussed.     

基因转录调控相关数据库集成系统及其应用

通过互联网访问的有关基因转录调控的数据库集成系统及其应用 ,包括调控区 (3’和 5’调控区、内显子和外显子调控区等 )、调控单元 (启动子 ,增强子 ,沉默子等 )和转录因子结合位点相关数据库及其数据库系统的性质、组成和功能。也介绍了这些数据库和系统的查询和搜索方法以及相关开发的程序工具。这些生物信息学资源对于从事生物信息学、分子生物学、遗传工程、基因功能、生物技术、代谢工程、药物设计、病理学和药理学研究的机构及人员在教学研究方面具一定的参考价值和帮助。     

High-resolution, high-throughput SNP mapping in Drosophila melanogaster

Single nucleotide polymorphisms (SNPs) are useful markers for genetic mapping experiments in model organisms. Here we report the establishment of a high-density SNP map and high-throughput genotyping assays for Drosophila melanogaster. Our map comprises 27,367 SNPs in common laboratory Drosophila stocks. These SNPs were clustered within 2,238 amplifiable markers at an average density of 1 marker every 50.3 kb, or 6.3 genes. We have also constructed a set of 62 Drosophila stocks, each of which facilitates the generation of recombinants within a defined genetic interval of 1-2 Mb. For flexible, high-throughput SNP genotyping, we used fluorescent tag-array mini-sequencing (TAMS) assays. We designed and validated TAMS assays for 293 SNPs at an average resolution of 391.3 kb, and demonstrated the utility of these tools by rapidly mapping 14 mutations that disrupt embryonic muscle patterning. These resources enable high-resolution high-throughput genetic mapping in Drosophila.     

Database and tools for metabolic network analysis

Metabolic network analysis has attracted much attention in the area of systems biology. It has a profound role in understanding the key features of organism metabolic networks and has been successfully applied in several fields of systems biology, including in silico gene knockouts, production yield improvement using engineered microbial strains, drug target identification, and phenotype prediction. A variety of metabolic network databases and tools have been developed in order to assist research in these fields. Databases that comprise biochemical data are normally integrated with the use of metabolic network analysis tools in order to give a more comprehensive result. This paper reviews and compares eight databases as well as twenty one recent tools. The aim of this review is to study the different types of tools in terms of the features and usability, as well as the databases in terms of the scope and data provided. These tools can be categorised into three main types: standalone tools; toolbox-based tools; and web-based tools. Furthermore, comparisons of the databases as well as the tools are also provided to help software developers and users gain a clearer insight and a better understanding of metabolic network analysis. Additionally, this review also helps to provide useful information that can be used as guidance in choosing tools and databases for a particular research interest.     

A genome-scale shRNA resource for transgenic RNAi in Drosophila

Existing transgenic RNAi resources in Drosophila melanogaster based on long double-stranded hairpin RNAs are powerful tools for functional studies, but they are ineffective in gene knockdown during oogenesis, an important model system for the study of many biological questions. We show that shRNAs, modeled on an endogenous microRNA, are extremely effective at silencing gene expression during oogenesis. We also describe our progress toward building a genome-wide shRNA resource.     

Informatics - genome and genetic databases

Databases for biologists are becoming increasingly important. Some of these can be regarded as ‘core’ resources, such as the bibliographic databases, whereas others are of greater interest to specialists. As comparative genomics develops, however, even databases limited in their scope (e.g. to a single organism) are of great interest to a wider community.     

Drosophila, an emerging model for cardiac disease

A variety of studies that are currently underway may validate the fruit fly as an in vivo model for analyzing genes involved in cardiac function. Many mutations in conserved genetic pathways have been found, including those controlling development and physiology. Because homologous genes control early developmental events as well as functional components of the Drosophila and vertebrate hearts, the fly is the simplest existing model system that can be used to assay genes involved in human congenital heart disease (CHD). The wide variety of genetic tools available to Drosophila researchers offers many technical advantages for rapidly screening through large numbers of candidate genes. Thus, an important future and long-term direction is likely to be the use of Drosophila as a vehicle for analyzing polygenic traits as an aid in human genetics. One can anticipate a time in the not too distant future when mutant lines exist for every gene in vertebrate systems, such as mice and zebrafish. However, one of the enduring problems that will not easily be addressed by such resources will be the tracking of complex traits defined by polygenic variants. For this level of genetic analysis, simple genetic model systems including yeast, Caenorhabditis elegans, and Drosophila melanogaster will undoubtedly play a crucial ongoing role. Of them, Drosophila will be critical for examining gene networks involved in organogenesis and is clearly the system of choice for studying cardiac development, function and aging, since among the simple genetic models it is the only one with a fluid pumping heart.     

Heat shock-mediated misexpression of genes in the beetle Tribolium castaneum

Insect gene function has mainly been studied in the fruit fly Drosophila melanogaster because in this species many techniques and resources are available for gene knock down and the ectopic activation of gene function. However, in order to study biological aspects that are not represented by the Drosophila model, and in order to test to what degree gene functions are conserved within insects and what changes in gene function accompanied the evolution of novel traits, the establishment of respective tools in other insect species is required. While gene knock down can be induced by RNA interference in many insects, methods to misexpress genes are much less developed. In order to allow misexpression of genes in a timely controlled manner in the red flour beetle Tribolium castaneum, we have established a heat shock-mediated misexpression system. We show that endogenous heat shock elements perform better than artificial heat shock elements derived from vertebrates. We carefully determine the optimal conditions for heat shock and define a core promoter for use in future constructs. Finally, using this system, we study the effects of misexpressing the head patterning gene Tc-orthodenticle1 (Tc-otd1), We show that Tc-otd1 suppresses Tc-wingless (Tc-wg) in the trunk and to some degree in the head.     

Intron splicing: a conserved internal signal in introns of Drosophila pre-mRNAs.

The introns of Drosophila pre-mRNAs have been analysed for conserved internal sequence elements near the 3' intron boundary similar to the T-A-C-T-A-A-C in yeast introns and the C/T-T-A/G-A-C/T in introns of other organisms. Such conserved internal elements are the 3' splice signals recognized in intron splicing. In the lariat splicing mechanism, the G at the 5' end of an intron joins covalently to the last A of a 3' splice signal to form a branch point in a splicing intermediate. Analysis of 39 published sequences of Drosophila introns reveals that potential 3' splice signals with the consensus C/T-T-A/G-A-C/T are present in 18 cases. In 17 of the remaining cases signals are present which vary from this consensus just in the middle or last position. In Drosophila introns the 3' splice signal is usually located in a discrete region between 18 and 35 nucleotides upstream from the 3' splice point. We note that the Drosophila small nuclear U2-RNA has sequences complementary to C-T-G-A-T, one variant of the signal, and to C-A-G, one variant of the 3' terminus of an intron. We also note that the absence of any A-G between -3 and -19 from the 3' splice point may be an essential feature of a strong 3' boundary.