32 results on '"Madeline A, Crosby"'
Search Results
2. Alliance of Genome Resources Portal: unified model organism research platform.
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Julie Agapite, Laurent-Philippe Albou, Suzi A. Aleksander, Joanna Argasinska, Valerio Arnaboldi, Helen Attrill, Susan M. Bello, Judith A. Blake, Olin Blodgett, Yvonne M. Bradford, Carol J. Bult, Scott Cain, Brian R. Calvi, Seth Carbon, Juancarlos Chan, Wen J. Chen, J. Michael Cherry, Jae-Hyoung Cho, Karen R. Christie, Madeline A. Crosby, Jeff de Pons, Mary E. Dolan, Gilberto dos Santos, Barbara Dunn, Nathan A. Dunn, Anne E. Eagle, Dustin Ebert, Stacia R. Engel, David Fashena, Ken Frazer, Sibyl Gao, Felix Gondwe, Joshua L. Goodman, L. Sian Gramates, Christian A. Grove, Todd W. Harris, Marie-Claire Harrison, Douglas G. Howe, Kevin L. Howe, Sagar Jha, James A. Kadin, Thomas C. Kaufman, Patrick Kalita, Kalpana Karra, Ranjana Kishore, Stanley J. F. Laulederkind, Raymond Y. N. Lee, Kevin A. MacPherson, Steven J. Marygold, Beverley Matthews, Gillian H. Millburn, Stuart R. Miyasato, Sierra A. T. Moxon, Hans-Michael Müller, Christopher J. Mungall, Anushya Muruganujan, Tremayne Mushayahama, Robert S. Nash, Patrick Ng, Michael Paulini, Norbert Perrimon, Christian Pich 0002, Daniela Raciti, Joel E. Richardson, Matthew Russell, Susan Russo Gelbart, Leyla Ruzicka, Kevin Schaper, Mary Shimoyama, Matt Simison, Cynthia L. Smith, David R. Shaw, Ajay Shrivatsav, Marek S. Skrzypek, Jennifer R. Smith, Paul W. Sternberg, Christopher J. Tabone, Paul D. Thomas, Jyothi Thota, Sabrina Toro, Monika Tomczuk, Marek Tutaj, Monika Tutaj, Jose-Maria Urbano, Kimberly Van Auken, Ceri E. Van Slyke, Shur-Jen Wang, Shuai Weng, Monte Westerfield, Gary Williams, Edith D. Wong, Adam Wright, and Karen Yook
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- 2020
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3. FlyBase at 25: looking to the future.
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L. Sian Gramates, Steven J. Marygold, Gilberto dos Santos, Jose-Maria Urbano, Giulia Antonazzo, Beverley Matthews, Alix J. Rey, Christopher J. Tabone, Madeline A. Crosby, David B. Emmert, Kathleen Falls, Joshua L. Goodman, Yanhui Hu, Laura Ponting, Andrew J. Schroeder, Victor B. Strelets, Jim Thurmond, Pinglei Zhou, and The FlyBase Consortium
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- 2017
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4. FlyBase portals to human disease research using Drosophila models
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Gillian H. Millburn, Madeline A. Crosby, L. Sian Gramates, Susan Tweedie, and the FlyBase Consortium
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Drosophila ,Disease model ,Online resource ,FlyBase ,Medicine ,Pathology ,RB1-214 - Abstract
The use of Drosophila melanogaster as a model for studying human disease is well established, reflected by the steady increase in both the number and proportion of fly papers describing human disease models in recent years. In this article, we highlight recent efforts to improve the availability and accessibility of the disease model information in FlyBase (http://flybase.org), the model organism database for Drosophila. FlyBase has recently introduced Human Disease Model Reports, each of which presents background information on a specific disease, a tabulation of related disease subtypes, and summaries of experimental data and results using fruit flies. Integrated presentations of relevant data and reagents described in other sections of FlyBase are incorporated into these reports, which are specifically designed to be accessible to non-fly researchers in order to promote collaboration across model organism communities working in translational science. Another key component of disease model information in FlyBase is that data are collected in a consistent format – using the evolving Disease Ontology (an open-source standardized ontology for human-disease-associated biomedical data) – to allow robust and intuitive searches. To facilitate this, FlyBase has developed a dedicated tool for querying and navigating relevant data, which include mutations that model a disease and any associated interacting modifiers. In this article, we describe how data related to fly models of human disease are presented in individual Gene Reports and in the Human Disease Model Reports. Finally, we discuss search strategies and new query tools that are available to access the disease model data in FlyBase.
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- 2016
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5. FlyBase: introduction of the Drosophila melanogaster Release 6 reference genome assembly and large-scale migration of genome annotations.
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Gilberto dos Santos, Andrew J. Schroeder, Joshua L. Goodman, Victor B. Strelets, Madeline A. Crosby, Jim Thurmond, David B. Emmert, and William M. Gelbart
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- 2015
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6. FlyBase: a guided tour of highlighted features
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L Sian, Gramates, Julie, Agapite, Helen, Attrill, Brian R, Calvi, Madeline A, Crosby, Gilberto, Dos Santos, Joshua L, Goodman, Damien, Goutte-Gattat, Victoria K, Jenkins, Thomas, Kaufman, Aoife, Larkin, Beverley B, Matthews, Gillian, Millburn, Victor B, Strelets, and TyAnna, Lovato
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Drosophila melanogaster ,Genome ,Databases, Genetic ,Genetics ,Animals ,Genomics - Abstract
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.
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- 2022
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7. FlyBase: genomes by the dozen.
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Madeline A. Crosby, Joshua L. Goodman, Victor B. Strelets, Peili Zhang, and William M. Gelbart
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- 2007
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8. FlyBase: genes and gene models.
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Rachel A. Drysdale and Madeline A. Crosby
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- 2005
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9. FlyBase: a Drosophila database. The FlyBase consortium.
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William M. Gelbart, Madeline A. Crosby, Beverley Matthews, W. P. Rindone, J. Chillemi, S. Russo Twombly, David B. Emmert, Michael Ashburner, Rachel A. Drysdale, E. Whitfield, Gillian H. Millburn, A. de Grey, Thomas C. Kaufman, K. Matthews, David R. Gilbert, Victor B. Strelets, and C. Tolstoshev
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- 1997
10. Gene Model Annotations for Drosophila melanogaster: Impact of High-Throughput Data
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L. Sian Gramates, Andrew J. Schroeder, Pinglei Zhou, Susan E. St. Pierre, Victor B. Strelets, William M. Gelbart, Beverley B. Matthews, Susan M. Russo, David B. Emmert, Madeline A. Crosby, Gilberto dos Santos, and Kathleen Falls
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Male ,Pseudogene ,Computational biology ,Investigations ,Exon ,Annotation ,lncRNA ,Databases, Genetic ,Genetics ,Animals ,FlyBase : A Database of Drosophila Genes & Genomes ,3' Untranslated Regions ,Molecular Biology ,Gene ,Genetics (clinical) ,alternative splice ,Models, Genetic ,biology ,Sequence Analysis, RNA ,Molecular Sequence Annotation ,Exons ,Gene Annotation ,biology.organism_classification ,Drosophila melanogaster ,exon junction ,RNA, Small Untranslated ,Female ,Transcription Initiation Site ,Transcriptome ,transcription start site - Abstract
We report the current status of the FlyBase annotated gene set for Drosophila melanogaster and highlight improvements based on high-throughput data. The FlyBase annotated gene set consists entirely of manually annotated gene models, with the exception of some classes of small non-coding RNAs. All gene models have been reviewed using evidence from high-throughput datasets, primarily from the modENCODE project. These datasets include RNA-Seq coverage data, RNA-Seq junction data, transcription start site profiles, and translation stop-codon read-through predictions. New annotation guidelines were developed to take into account the use of the high-throughput data. We describe how this flood of new data was incorporated into thousands of new and revised annotations. FlyBase has adopted a philosophy of excluding low-confidence and low-frequency data from gene model annotations; we also do not attempt to represent all possible permutations for complex and modularly organized genes. This has allowed us to produce a high-confidence, manageable gene annotation dataset that is available at FlyBase (http://flybase.org). Interesting aspects of new annotations include new genes (coding, non-coding, and antisense), many genes with alternative transcripts with very long 3′ UTRs (up to 15–18 kb), and a stunning mismatch in the number of male-specific genes (approximately 13% of all annotated gene models) vs. female-specific genes (less than 1%). The number of identified pseudogenes and mutations in the sequenced strain also increased significantly. We discuss remaining challenges, for instance, identification of functional small polypeptides and detection of alternative translation starts.
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- 2015
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11. Gene Model Annotations forDrosophila melanogaster: The Rule-Benders
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Susan E. St. Pierre, L. Sian Gramates, Beverley B. Matthews, David B. Emmert, Andrew J. Schroeder, Pinglei Zhou, Madeline A. Crosby, Susan M. Russo, Gilberto dos Santos, Kathleen Falls, and William M. Gelbart
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Context (language use) ,Computational biology ,Investigations ,multiphasic exon ,non-AUG translation start ,Databases, Genetic ,Genetics ,Animals ,shared promoter ,FlyBase : A Database of Drosophila Genes & Genomes ,Sequence Ontology ,Molecular Biology ,Gene ,Genetics (clinical) ,Translational frameshift ,Base Sequence ,Models, Genetic ,biology ,Intron ,Molecular Sequence Annotation ,biology.organism_classification ,Mitochondria ,Drosophila melanogaster ,Protein Biosynthesis ,Codon, Terminator ,stop-codon suppression ,bicistronic ,RNA Editing ,RNA Splice Sites - Abstract
In the context of the FlyBase annotated gene models in Drosophila melanogaster, we describe the many exceptional cases we have curated from the literature or identified in the course of FlyBase analysis. These range from atypical but common examples such as dicistronic and polycistronic transcripts, noncanonical splices, trans-spliced transcripts, noncanonical translation starts, and stop-codon readthroughs, to single exceptional cases such as ribosomal frameshifting and HAC1-type intron processing. In FlyBase, exceptional genes and transcripts are flagged with Sequence Ontology terms and/or standardized comments. Because some of the rule-benders create problems for handlers of high-throughput data, we discuss plans for flagging these cases in bulk data downloads.
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- 2015
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12. Exploring FlyBase Data Using QuickSearch
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Steven J Marygold, Beverley B. Matthews, Madeline A. Crosby, Jim Thurmond, Gilberto dos Santos, Marta Costa, L. Sian Gramates, Giulia Antonazzo, Alix J. Rey, Helen Attrill, and Joshua L. Goodman
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0301 basic medicine ,Focus (computing) ,Genome ,Computer science ,Online database ,Biological database ,Genomics ,Biochemistry ,Article ,World Wide Web ,03 medical and health sciences ,Annotation ,Drosophila melanogaster ,030104 developmental biology ,0302 clinical medicine ,Data access ,Structural Biology ,Databases, Genetic ,Animals ,FlyBase : A Database of Drosophila Genes & Genomes ,030217 neurology & neurosurgery - Abstract
FlyBase (flybase.org) is the primary online database of genetic, genomic, and functional information about Drosophila species, with a major focus on the model organism Drosophila melanogaster. The long and rich history of Drosophila research, combined with recent surges in genomic-scale and high-throughput technologies, mean that FlyBase now houses a huge quantity of data. Researchers need to be able to rapidly and intuitively query these data, and the QuickSearch tool has been designed to meet these needs. This tool is conveniently located on the FlyBase homepage and is organized into a series of simple tabbed interfaces that cover the major data and annotation classes within the database. This unit describes the functionality of all aspects of the QuickSearch tool. With this knowledge, FlyBase users will be equipped to take full advantage of all QuickSearch features and thereby gain improved access to data relevant to their research. © 2016 by John Wiley & Sons, Inc.
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- 2016
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13. Large-Scale Functional Annotation and Expanded Implementations of the P{wHy} Hybrid Transposon in the Drosophila melanogaster Genome
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Kyl V. Myrick, Madeline A. Crosby, Ines Alvarez-Garcia, William M. Gelbart, Mark A. Smith, Jeffrey Lu, Stephanie E. Mohr, and François Huet
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Recombination, Genetic ,Genetics ,Transposable element ,Whole genome sequencing ,Binding Sites ,Models, Genetic ,Heterochromatin ,Genetic Complementation Test ,Genome, Insect ,Chromosome Mapping ,Mutagenesis (molecular biology technique) ,Genome project ,Investigations ,Biology ,biology.organism_classification ,Genome ,Mutagenesis, Insertional ,Drosophila melanogaster ,Databases, Genetic ,DNA Transposable Elements ,Animals ,Transposon mutagenesis ,Sequence Deletion - Abstract
Whole genome sequencing of the model organisms has created increased demand for efficient tools to facilitate the genome annotation efforts. Accordingly, we report the further implementations and analyses stemming from our publicly available P{wHy} library for Drosophila melanogaster. A two-step regime—large scale transposon mutagenesis followed by hobo-induced nested deletions—allows mutation saturation and provides significant enhancements to existing genomic coverage. We previously showed that, for a given starting insert, deletion saturation is readily obtained over a 60-kb interval; here, we perform a breakdown analysis of efficiency to identify rate-limiting steps in the process. Transrecombination, the hobo-induced recombination between two P{wHy} half molecules, was shown to further expand the P{wHy} mutational range, pointing to a potent, iterative process of transrecombination–reconstitution–transrecombination for alternating between very large and very fine-grained deletions in a self-contained manner. A number of strains also showed partial or complete repression of P{wHy} markers, depending on chromosome location, whereby asymmetric marker silencing allowed continuous phenotypic detection, indicating that P{wHy}-based saturational mutagenesis should be useful for the study of heterochromatin/positional effects.
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- 2009
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14. Using FlyBase, a Database of Drosophila Genes & Genomes
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Steven J Marygold, Madeline A. Crosby, and Joshua L. Goodman
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0301 basic medicine ,Proteomics ,Genome, Insect ,Datasets as Topic ,Genomics ,Translational research ,Genes, Insect ,computer.software_genre ,Genome ,Data type ,History, 21st Century ,Article ,Cell Line ,Translational Research, Biomedical ,03 medical and health sciences ,Databases, Genetic ,Animals ,Humans ,Data content ,FlyBase : A Database of Drosophila Genes & Genomes ,Drosophila ,Internet ,Database ,biology ,Online database ,History, 20th Century ,biology.organism_classification ,Disease Models, Animal ,030104 developmental biology ,ComputingMethodologies_PATTERNRECOGNITION ,Drosophila melanogaster ,computer ,Software - Abstract
For nearly 25 years, FlyBase (flybase.org) has provided a freely available online database of biological information about Drosophila species, focusing on the model organism D. melanogaster. The need for a centralized, integrated view of Drosophila research has never been greater as advances in genomic, proteomic, and high-throughput technologies add to the quantity and diversity of available data and resources.FlyBase has taken several approaches to respond to these changes in the research landscape. Novel report pages have been generated for new reagent types and physical interaction data; Drosophila models of human disease are now represented and showcased in dedicated Human Disease Model Reports; other integrated reports have been established that bring together related genes, datasets, or reagents; Gene Reports have been revised to improve access to new data types and to highlight functional data; links to external sites have been organized and expanded; and new tools have been developed to display and interrogate all these data, including improved batch processing and bulk file availability. In addition, several new community initiatives have served to enhance interactions between researchers and FlyBase, resulting in direct user contributions and improved feedback.This chapter provides an overview of the data content, organization, and available tools within FlyBase, focusing on recent improvements. We hope it serves as a guide for our diverse user base, enabling efficient and effective exploration of the database and thereby accelerating research discoveries.
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- 2016
15. Comparative genome sequencing of Drosophila pseudoobscura: Chromosomal, gene, and cis-element evolution
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Kevin R. Thornton, Michael L. Metzker, Peili Zhang, Stephen W. Schaeffer, Marinus F. van Batenburg, Steven E. Scherer, Melissa J. Hubisz, Catharine M. Rives, Paul Havlak, Yanmei Huang, David A. Wheeler, Cerissa Hamilton, Richard P. Meisel, Margaret Morgan, Bettencourt Brian, Graham R. Scott, Rui Chen, Mohamed A. F. Noor, Erica Sodergren, Lenee Waldron, Rasmus Nielsen, Olivier Couronne, Yue Liu, William M. Gelbart, Harmen J. Bussemaker, Andrew G. Clark, Donna M. Muzny, Inna Dubchak, Andrew J. Schroeder, Stan Letovsky, K. James Durbin, Rachel Gill, George Miner, Mark A. Smith, David Steffen, Madeline A. Crosby, Richard A. Gibbs, Kerstin P. Clerc-Blankenburg, Beverly B. Matthews, Stephen Richards, Kim C. Worley, Pavel Hradecky, Sally Howells, Wyatt W. Anderson, Amy Egan, George M. Weinstock, Sujun Hua, Jing Liu, Kevin P. White, Daniel Verduzco, Daniel Ortiz-Barrientos, and Jennifer Hume
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Sequence analysis ,Molecular Sequence Data ,Genes, Insect ,Chromosomal rearrangement ,Genome ,Chromosomes ,Evolution, Molecular ,Drosophila pseudoobscura ,Predictive Value of Tests ,Genetics ,Animals ,Gene ,Conserved Sequence ,Genetics (clinical) ,Repetitive Sequences, Nucleic Acid ,Synteny ,Gene Rearrangement ,Whole genome sequencing ,biology ,fungi ,Chromosome Mapping ,Genetic Variation ,Chromosome Breakage ,Articles ,Sequence Analysis, DNA ,biology.organism_classification ,Drosophila melanogaster ,Enhancer Elements, Genetic ,Chromosome Inversion ,Drosophila - Abstract
We have sequenced the genome of a second Drosophila species, Drosophila pseudoobscura, and compared this to the genome sequence of Drosophila melanogaster, a primary model organism. Throughout evolution the vast majority of Drosophila genes have remained on the same chromosome arm, but within each arm gene order has been extensively reshuffled, leading to a minimum of 921 syntenic blocks shared between the species. A repetitive sequence is found in the D. pseudoobscura genome at many junctions between adjacent syntenic blocks. Analysis of this novel repetitive element family suggests that recombination between offset elements may have given rise to many paracentric inversions, thereby contributing to the shuffling of gene order in the D. pseudoobscura lineage. Based on sequence similarity and synteny, 10,516 putative orthologs have been identified as a core gene set conserved over 25–55 million years (Myr) since the pseudoobscura/melanogaster divergence. Genes expressed in the testes had higher amino acid sequence divergence than the genome-wide average, consistent with the rapid evolution of sex-specific proteins. Cis-regulatory sequences are more conserved than random and nearby sequences between the species—but the difference is slight, suggesting that the evolution of cis-regulatory elements is flexible. Overall, a pattern of repeat-mediated chromosomal rearrangement, and high coadaptation of both male genes and cis-regulatory sequences emerges as important themes of genome divergence between these species of Drosophila.
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- 2005
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16. A deletion-generator compound element allows deletion saturation analysis for genomewide phenotypic annotation
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Kyl V. Myrick, William M. Gelbart, L. Ryan Baugh, Madeline A. Crosby, François Huet, and Jeffrey Lu
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Genetics ,Transposable element ,Multidisciplinary ,biology ,ved/biology ,ved/biology.organism_classification_rank.species ,biology.organism_classification ,Genome ,P element ,Genetic marker ,Drosophila melanogaster ,Mobile genetic elements ,Model organism ,Gene - Abstract
With the available eukaryotic genome sequences, there are predictions of thousands of previously uncharacterized genes without known function or available mutational variant. Thus, there is an urgent need for efficient genetic tools for genomewide phenotypic analysis. Here we describe such a tool: a deletion-generator technology that exploits properties of a double transposable element to produce molecularly defined deletions at high density and with high efficiency. This double element, called P { wHy }, is composed of a “deleter” element hobo , bracketed by two genetic markers and inserted into a “carrier” P element. We have used this P { wHy } element in Drosophila melanogaster to generate sets of nested deletions of sufficient coverage to discriminate among every transcription unit within 60 kb of the starting insertion site. Because these two types of mobile elements, carrier and deleter, can be found in other species, our strategy should be applicable to phenotypic analysis in a variety of model organisms.
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- 2002
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17. FlyBase: introduction of the Drosophila melanogaster Release 6 reference genome assembly and large-scale migration of genome annotations
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Jim Thurmond, Gilberto dos Santos, Joshua L. Goodman, Victor B. Strelets, William M. Gelbart, Andrew J. Schroeder, Madeline A. Crosby, and David B. Emmert
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Genome, Insect ,Molecular Sequence Data ,Sequence assembly ,Genomics ,Computational biology ,Genome ,03 medical and health sciences ,0302 clinical medicine ,Databases, Genetic ,Genetics ,Animals ,Database Issue ,FlyBase : A Database of Drosophila Genes & Genomes ,030304 developmental biology ,0303 health sciences ,Internet ,biology ,Models, Genetic ,fungi ,High-Throughput Nucleotide Sequencing ,Molecular Sequence Annotation ,Genome project ,Reference Standards ,biology.organism_classification ,Drosophila melanogaster ,Sequence Alignment ,030217 neurology & neurosurgery ,Software ,Reference genome - Abstract
Release 6, the latest reference genome assembly of the fruit fly Drosophila melanogaster, was released by the Berkeley Drosophila Genome Project in 2014; it replaces their previous Release 5 genome assembly, which had been the reference genome assembly for over 7 years. With the enormous amount of information now attached to the D. melanogaster genome in public repositories and individual laboratories, the replacement of the previous assembly by the new one is a major event requiring careful migration of annotations and genome-anchored data to the new, improved assembly. In this report, we describe the attributes of the new Release 6 reference genome assembly, the migration of FlyBase genome annotations to this new assembly, how genome features on this new assembly can be viewed in FlyBase (http://flybase.org) and how users can convert coordinates for their own data to the corresponding Release 6 coordinates.
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- 2014
18. The trithorax Group Gene moira Encodes a Brahma-Associated Putative Chromatin-Remodeling Factor in Drosophila melanogaster
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Madeline A. Crosby, Naomi B. Zak, Ronit Goldman-Levi, Chaya Miller, C. Peter Verrijzer, Kellie L. Watson, and Tamar Alon
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Leucine zipper ,Saccharomyces cerevisiae Proteins ,animal structures ,Chromatin Remodeling Factor ,Cell Cycle Proteins ,Genes, Insect ,Biology ,Fungal Proteins ,Animals ,Drosophila Proteins ,Humans ,Amino Acid Sequence ,Cloning, Molecular ,Molecular Biology ,Gene ,Alleles ,DNA Primers ,Transcriptional Regulation ,Genetics ,Base Sequence ,Sequence Homology, Amino Acid ,fungi ,Genes, Homeobox ,Chromosome Mapping ,Gene Expression Regulation, Developmental ,Nuclear Proteins ,Cell Biology ,biology.organism_classification ,Chromatin ,DNA-Binding Proteins ,Drosophila melanogaster ,Trans-Activators ,Insect Proteins ,Homeotic gene ,human activities ,Drosophila Protein ,Transcription Factors ,SANT domain - Abstract
The genes of the trithorax group (trxG) in Drosophila melanogaster are required to maintain the pattern of homeotic gene expression that is established early in embryogenesis by the transient expression of the segmentation genes. The precise role of each of the diverse trxG members and the functional relationships among them are not well understood. Here, we report on the isolation of the trxG gene moira (mor) and its molecular characterization. mor encodes a fruit fly homolog of the human and yeast chromatin-remodeling factors BAF170, BAF155, and SWI3. mor is widely expressed throughout development, and its 170-kDa protein product is present in many embryonic tissues. In vitro, MOR can bind to itself and it interacts with Brahma (BRM), an SWI2-SNF2 homolog, with which it is associated in embryonic nuclear extracts. The leucine zipper motif of MOR is likely to participate in self-oligomerization; the equally conserved SANT domain, for which no function is known, may be required for optimal binding to BRM. MOR thus joins BRM and Snf5-related 1 (SNR1), two known Drosophila SWI-SNF subunits that act as positive regulators of the homeotic genes. These observations provide a molecular explanation for the phenotypic and genetic relationships among several of the trxG genes by suggesting that they encode evolutionarily conserved components of a chromatin-remodeling complex.
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- 1999
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19. FlyBase: a Drosophila database
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S. Russo Twombly, Madeline A. Crosby, Michael Ashburner, W. P. Rindone, Gillian Millburn, William M. Gelbart, David Gilbert, J. Chillemi, Kathy Matthews, Beverley B. Matthews, A. de Grey, Thomas C. Kaufman, C. Tolstoshev, David B. Emmert, Rachel Drysdale, Victor B. Strelets, and E. Whitfield
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animal structures ,Database ,biology ,Flat file database ,Relational database ,fungi ,computer.software_genre ,biology.organism_classification ,Data sequences ,Genetics ,Drosophila genome ,Base sequence ,Drosophila melanogaster ,FlyBase : A Database of Drosophila Genes & Genomes ,computer - Abstract
FlyBase is a database of genetic and molecular data concerning Drosophila. FlyBase is maintained as a relational database (in Sybase) and is made available as html documents and flat files. The scope of FlyBase includes: genes, alleles (and phenotypes), aberrations, transposons, pointers to sequence data, clones, stock lists, Drosophila workers and bibliographic references. The Encyclopedia of Drosophila is a joint effort between FlyBase and the Berkeley Drosophila Genome Project which integrates FlyBase data with those from the BDGP.
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- 1997
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20. Revisiting the protein-coding gene catalog of Drosophila melanogaster using 12 fly genomes
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Kyl V. Myrick, L. Sian Gramates, Margaret Roark, Joseph W. Carlson, Charles Yu, Rob J. Kulathinal, Soo Park, Susan E. St. Pierre, Michael F. Lin, William M. Gelbart, Manolis Kellis, Beverley B. Matthews, Jerry V. Antone, Andrew J. Schroeder, Peili Zhang, Madeline A. Crosby, Kenneth H. Wan, Kenneth L. Wiley, and Susan E. Celniker
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Reading Frames ,Genome, Insect ,Molecular Sequence Data ,Genes, Insect ,Computational biology ,Genome ,Evolution, Molecular ,Start codon ,Genetics ,Melanogaster ,Animals ,Drosophila Proteins ,Codon ,Gene ,Genetics (clinical) ,Conserved Sequence ,Genomic organization ,Comparative genomics ,biology ,Base Sequence ,biology.organism_classification ,Stop codon ,Drosophila melanogaster ,12 Drosophila Genomes/Letter ,Sequence Alignment - Abstract
The availability of sequenced genomes from 12 Drosophila species has enabled the use of comparative genomics for the systematic discovery of functional elements conserved within this genus. We have developed quantitative metrics for the evolutionary signatures specific to protein-coding regions and applied them genome-wide, resulting in 1193 candidate new protein-coding exons in the D. melanogaster genome. We have reviewed these predictions by manual curation and validated a subset by directed cDNA screening and sequencing, revealing both new genes and new alternative splice forms of known genes. We also used these evolutionary signatures to evaluate existing gene annotations, resulting in the validation of 87% of genes lacking descriptive names and identifying 414 poorly conserved genes that are likely to be spurious predictions, noncoding, or species-specific genes. Furthermore, our methods suggest a variety of refinements to hundreds of existing gene models, such as modifications to translation start codons and exon splice boundaries. Finally, we performed directed genome-wide searches for unusual protein-coding structures, discovering 149 possible examples of stop codon readthrough, 125 new candidate ORFs of polycistronic mRNAs, and several candidate translational frameshifts. These results affect >10% of annotated fly genes and demonstrate the power of comparative genomics to enhance our understanding of genome organization, even in a model organism as intensively studied as Drosophila melanogaster.
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- 2007
21. Discovery of functional elements in 12 Drosophila genomes using evolutionary signatures
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Matthew W. Hahn, Angie S. Hinrichs, Benedict Paten, Colin N. Dewey, Stein Aerts, Jacques van Helden, Yongkyu Park, Madeline A. Crosby, Seung-Won Park, J. Graham Ruby, Alexander Stark, Sushmita Roy, Emily Hodges, David P. Bartel, Pouya Kheradpour, Michael B. Eisen, Gregory J. Hannon, Julius Brennecke, Michael P. Weir, Morgan L. Maeder, Lior Pachter, Benjamin J. Polansky, Jakob Skou Pedersen, Eric C. Lai, Bryanne E. Robson, Anat Caspi, Douglas Smith, David Haussler, W. James Kent, Andrew G. Clark, Susan E. Celniker, Deborah Eastman, Michael F. Lin, Mira V. Han, Ameya N. Deoras, Donald G. Gilbert, Thomas C. Kaufman, Joseph W. Carlson, Bassem A. Hassan, Matthew D. Rasmussen, Michael D. Rice, William M. Gelbart, Manolis Kellis, and Leopold Parts
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Sequence analysis ,Genome, Insect ,Molecular Sequence Data ,Genomics ,Genes, Insect ,Computational biology ,Biology ,Genome ,Article ,Evolution, Molecular ,Phylogenetics ,Molecular evolution ,Untranslated Regions ,Animals ,Drosophila Proteins ,Gene ,Conserved Sequence ,Phylogeny ,Comparative genomics ,Genetics ,Multidisciplinary ,Binding Sites ,Base Sequence ,Exons ,MicroRNAs ,Gene Expression Regulation ,Organ Specificity ,Drosophila ,Drosophila Protein - Abstract
Sequencing of multiple related species followed by comparative genomics analysis constitutes a powerful approach for the systematic understanding of any genome. Here, we use the genomes of 12 Drosophila species for the de novo discovery of functional elements in the fly. Each type of functional element shows characteristic patterns of change, or 'evolutionary signatures', dictated by its precise selective constraints. Such signatures enable recognition of new protein-coding genes and exons, spurious and incorrect gene annotations, and numerous unusual gene structures, including abundant stop-codon readthrough. Similarly, we predict non-protein-coding RNA genes and structures, and new microRNA (miRNA) genes. We provide evidence of miRNA processing and functionality from both hairpin arms and both DNA strands. We identify several classes of pre- and post-transcriptional regulatory motifs, and predict individual motif instances with high confidence. We also study how discovery power scales with the divergence and number of species compared, and we provide general guidelines for comparative studies.
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- 2007
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22. FlyBase: genomes by the dozen
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Victor B. Strelets, Joshua L. Goodman, William M. Gelbart, Peili Zhang, and Madeline A. Crosby
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Genome, Insect ,Genomics ,Computational biology ,Biology ,Genome ,03 medical and health sciences ,User-Computer Interface ,0302 clinical medicine ,Phylogenetics ,Drosophilidae ,Databases, Genetic ,Genetics ,Animals ,FlyBase : A Database of Drosophila Genes & Genomes ,Drosophila ,Phylogeny ,030304 developmental biology ,0303 health sciences ,Internet ,Phylogenetic tree ,Articles ,biology.organism_classification ,Drosophila melanogaster ,030217 neurology & neurosurgery ,Software - Abstract
FlyBase (http://flybase.org/) is the primary database of genetic and genomic data for the insect family Drosophilidae. Historically, Drosophila melanogaster has been the most extensively studied species in this family, but recent determination of the genomic sequences of an additional 11 Drosophila species opens up new avenues of research for other Drosophila species. This extensive sequence resource, encompassing species with well-defined phylogenetic relationships, provides a model system for comparative genomic analyses. FlyBase has developed tools to facilitate access to and navigation through this invaluable new data collection.
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- 2006
23. Insights into social insects from the genome of the honeybee Apis mellifera
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George M. Weinstock, Andrew K. Jones, Katherine A Aronstein, Irene Gattermeier, Kiyoshi Kimura, Susan E. Fahrbach, Laura I. Decanini, Christina M. Grozinger, Evgeny M. Zdobnov, Susan J. Brown, Jonathan V. Sweedler, Kazutoyo Osoegawa, Christian A. Ross, Joseph J. Gillespie, Ngoc Nguyen, Geert Baggerman, Frank Hauser, Dan Graur, Michelle M. Elekonich, Alison R. Mercer, Amanda F. Svatek, Jean Marie Cornuet, Cornelis J. P. Grimmelikhuijzen, Aleksandar Milosavljevic, Anand Venkatraman, Andrew J. Schroeder, Huaiyang Jiang, Michael R. Kanost, Justin T. Reese, Margaret Morgan, Tomoko Fujiyuki, Kim C. Worley, Susanta K. Behura, Jun Kawai, Robert Kucharski, Gildardo Aquino-Perez, Miguel Corona, Diana E. Wheeler, Kathryn S. Campbell, William M. Gelbart, Amy L. Toth, Yanping Chen, Mira Cohen, Noam Kaplan, Michihira Tagami, Miguel A. Peinado, Peter K. Dearden, Glenford Savery, Liliane Schoofs, Takeo Kubo, Giuseppe Cazzamali, Sylvain Forêt, Thomas C. Newman, Ross Overbeek, Piero Carninci, Ryszard Maleszka, Barbara J. Ruef, Michal Linial, Alexandre S. Cristino, Mary A. Schuler, Huyen Dinh, J. Troy Littleton, Manoj P. Samanta, Waraporn Tongprasit, L. Sian Grametes, Eran Elhaik, Jean-Luc Imler, Zhen Zou, Rodrigo A. Velarde, Tanja Gempe, Dorothea Eisenhardt, Juan Manuel Anzola, Graham J. Thompson, Aaron J. Mackey, René Feyereisen, Mrcia M.G. Bitondi, Lora Lewis, Guy Bloch, Richard A. Gibbs, Jane Peterson, Jay D. Evans, Robert E. Page, Amanda B. Hummon, Viktor Stolc, Donna M. Muzny, Yair Shemesh, Francis M. F. Nunes, Dawn Lopez, Judith H. Willis, Martin Hasselmann, Mark S. Guyer, John G. Oakeshott, Pinglei Zhou, Eriko Kage, Dominique Vautrin, Kevin J. Hackett, Sandra L. Lee, Clay Davis, Christine Emore, Gene E. Robinson, Alexandre Souvorov, T.A. Richmond, Rachel Thorn, Jurgen Huybrechts, Elad B. Rubin, Craig Mizzen, Deborah R. Smith, Walter S. Sheppard, Takekazu Kunieda, Adam Felsenfeld, Bingshan Li, Jeffrey G. Reid, La Ronda Jackson, Jamie J. Cannone, Robin R. Gutell, Jireh Santibanez, Megan J. Wilson, David B. Sattelle, Azusa Kamikouchi, George Miner, Hideaki Takeuchi, Geoffrey Okwuonu, Jennifer Hume, Jonathan Miller, Kazuaki Ohashi, Angela Jovilet, Yoshihide Hayashizaki, Joseph Chacko, Paul Kitts, Erica Sodergren, Charles Hetru, Andrew V. Suarez, Brian P. Lazzaro, Susan E. St. Pierre, Evy Vierstraete, Haobo Jiang, Sandra Hines, Teresa D. Shippy, Greg J. Hunt, Peter Kosarev, Dan Hultmark, Stefan Albert, Susan M. Russo, Chung Li Shu, Michel Solignac, H. Michael G. Lattorff, Xu Ling, Grard Leboulle, Miklós Csürös, Neil D. Tsutsui, Lynne V. Nazareth, Ying Wang, Florence Mougel, Beverly B. Matthews, Kevin L. Childs, Rita A. Wright, Hugh M. Robertson, Lan Zhang, Peter Verleyen, Daniel B. Weaver, Christie Kovar, Chikatoshi Kai, Charles W. Whitfield, Madeline A. Crosby, Natalia V. Milshina, Reed M. Johnson, Michael A. Ewing, Peter L. Jones, Sandra L. Rodriguez-Zas, Michael B. Eisen, Klaus Hartfelder, Karl H.J. Gordon, W. Augustine Dunn, Ling Ling Pu, M. Monnerot, Stephen Richards, Richa Agarwala, Judith Hernandez, Pieter J. de Jong, Michael Williamson, Marcé D. Lorenzen, Zilá Luz Paulino Simões, Mark D. Drapeau, Donna Villasana, Katarína Bíliková, J. Spencer Johnston, David I. Schlipalius, Xuehong Wei, Laurent Duret, Venky N. Iyer, Andrew G. Clark, Christine G. Elsik, Hilary Ranson, Kyle T. Beggs, Mireia Jordà, Shiro Fukuda, Seth A. Ament, Vivek Iyer, Jozef Šimúth, Stewart H. Berlocher, May R. Berenbaum, Robin F. A. Moritz, Tatsuhiko Kadowaki, Charles Claudianos, Gro V. Amdam, Yue Liu, Naoko Sakazume, Morten Schioett, Paul Havlak, Anita M. Collins, Dirk C. de Graaf, Derek Collinge, Ivica Letunic, Carlos H. Lobo, Mizue Morioka, Martin Beye, Rachel Gill, C. Michael Dickens, Daisuke Sasaki, Victor V. Solovyev, Peer Bork, Sunita Biswas, David A. Wheeler, Heidi Paul, Bioinformatique, phylogénie et génomique évolutive (BPGE), Département PEGASE [LBBE] (PEGASE), Laboratoire de Biométrie et Biologie Evolutive - UMR 5558 (LBBE), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de Recherche en Informatique et en Automatique (Inria)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de Recherche en Informatique et en Automatique (Inria)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Centre National de la Recherche Scientifique (CNRS)-Laboratoire de Biométrie et Biologie Evolutive - UMR 5558 (LBBE), Université de Lyon-Université de Lyon-Institut National de Recherche en Informatique et en Automatique (Inria)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Centre National de la Recherche Scientifique (CNRS), Laboratoire Evolution, Génomes et Spéciation (LEGS), Centre National de la Recherche Scientifique (CNRS), and Physical and genetic mapping
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Male ,0106 biological sciences ,Transposable element ,[SDV.OT]Life Sciences [q-bio]/Other [q-bio.OT] ,Proteome ,Genome, Insect ,Molecular Sequence Data ,Genes, Insect ,Genomics ,Biology ,010603 evolutionary biology ,01 natural sciences ,Genome ,Article ,Evolution, Molecular ,03 medical and health sciences ,Molecular evolution ,Phylogenetics ,Animals ,Gene ,Phylogeny ,abeille domestique ,030304 developmental biology ,Whole genome sequencing ,Genetics ,Base Composition ,0303 health sciences ,[SDV.GEN]Life Sciences [q-bio]/Genetics ,Multidisciplinary ,Behavior, Animal ,Reproduction ,SOCIAL BEHAVIOR ,[SDV.BA]Life Sciences [q-bio]/Animal biology ,Immunity ,APIS MELLIFERA ,food and beverages ,Bees ,Telomere ,Physical Chromosome Mapping ,INSECTE ,Gene Expression Regulation ,DNA methylation ,DNA Transposable Elements ,Female ,GENETIQUE DES POPULATIONS ,Signal Transduction - Abstract
Ce travail résulte de la collaboration de très nombreux chercheurs. Seuls les auteurs de la rubrique Physical and Genetic Mapping sont cités explicitement.; Here we report the genome sequence of the honeybee Apis mellifera, a key model for social behaviour and essential to global ecology through pollination. Compared with other sequenced insect genomes, the A. mellifera genome has high A1T and CpG contents, lacks major transposon families, evolves more slowly, and is more similar to vertebrates for circadian rhythm, RNA interference and DNA methylation genes, among others. Furthermore, A.mellifera has fewer genes for innate immunity, detoxification enzymes, cuticle-forming proteins and gustatory receptors, more genes for odorant receptors, and novel genes for nectar and pollen utilization, consistent with its ecology and social organization. Compared to Drosophila, genes in early developmental pathways differ in Apis, whereas similarities exist for functions that differ markedly, such as sex determination, brain function and behaviour. Population genetics suggests a novel African origin for the species A.mellifera and insights into whether Africanized bees spread throughout the New World via hybridization or displacement
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- 2006
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24. [Untitled]
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Christopher D. Smith, Yanmei Huang, Eleanor J Whitfield, William M. Gelbart, Bettencourt Brian, Beverley B. Matthews, Suzanna E. Lewis, Madeline A. Crosby, Gillian Millburn, Aubrey D.N.J. de Grey, Pavel Hradecky, Sima Misra, Christopher J. Mungall, Rachel Drysdale, Susan E. Celniker, Simon Prochnik, ShengQiang Shu, Andrew J. Schroeder, Mark Stapleton, Chihiro Yamada, Jonathan L. Tupy, Gerald M. Rubin, Leyla Bayraktaroglu, J. Richter, Nomi L. Harris, Benjamin P. Berman, Michael Ashburner, Joshua S. Kaminker, Kathryn S. Campbell, and Susan M. Russo
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Transposable element ,Regulation of gene expression ,Genetics ,0303 health sciences ,biology ,biology.organism_classification ,Genome ,03 medical and health sciences ,Nested gene ,0302 clinical medicine ,Drosophila melanogaster ,FlyBase : A Database of Drosophila Genes & Genomes ,Gene ,030217 neurology & neurosurgery ,Drosophila Protein ,030304 developmental biology - Abstract
Background: The recent completion of the Drosophila melanogaster genomic sequence to high quality and the availability of a greatly expanded set of Drosophila cDNA sequences, aligning to 78% of the predicted euchromatic genes, afforded FlyBase the opportunity to significantly improve genomic annotations. We made the annotation process more rigorous by inspecting each gene visually, utilizing a comprehensive set of curation rules, requiring traceable evidence for each gene model, and comparing each predicted peptide to SWISS-PROT and TrEMBL sequences. Results: Although the number of predicted protein-coding genes in Drosophila remains essentially unchanged, the revised annotation significantly improves gene models, resulting in structural changes to 85% of the transcripts and 45% of the predicted proteins. We annotated transposable elements and non-protein-coding RNAs as new features, and extended the annotation of untranslated (UTR) sequences and alternative transcripts to include more than 70% and 20% of genes, respectively. Finally, cDNA sequence provided evidence for dicistronic transcripts, neighboring genes with overlapping UTRs on the same DNA sequence strand, alternatively spliced genes that encode distinct, non-overlapping peptides, and numerous nested genes. Conclusions: Identification of so many unusual gene models not only suggests that some mechanisms for gene regulation are more prevalent than previously believed, but also underscores the complex challenges of eukaryotic gene prediction. At present, experimental data and human curation remain essential to generate high-quality genome annotations.
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- 2002
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25. [Untitled]
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Christopher J. Mungall, Jonathan L. Tupy, Joshua S. Kaminker, Colin Wiel, Leyla Bayraktaroglu, Madeline A. Crosby, Vivek Iyer, J. Richter, Suzanna E. Lewis, Gerald M. Rubin, M Gibson, Michele Clamp, Sima Misra, Christopher D. Smith, Smj Searle, Simon Prochnik, Nomi L. Harris, Beverley B. Matthews, and Ewan Birney
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0106 biological sciences ,0303 health sciences ,Information retrieval ,Point (typography) ,biology ,Apollo ,Genome project ,Computational biology ,biology.organism_classification ,01 natural sciences ,Genome ,03 medical and health sciences ,Annotation ,ComputingMethodologies_PATTERNRECOGNITION ,Sequence annotation ,Software design ,FlyBase : A Database of Drosophila Genes & Genomes ,030304 developmental biology ,010606 plant biology & botany - Abstract
The well-established inaccuracy of purely computational methods for annotating genome sequences necessitates an interactive tool to allow biological experts to refine these approximations by viewing and independently evaluating the data supporting each annotation. Apollo was developed to meet this need, enabling curators to inspect genome annotations closely and edit them. FlyBase biologists successfully used Apollo to annotate the Drosophila melanogaster genome and it is increasingly being used as a starting point for the development of customized annotation editing tools for other genome projects.
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- 2002
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26. LETHAL MUTATIONS FLANKING THE 68C GLUE GENE CLUSTER ON CHROMOSOME 3 OF DROSOPHILA MELANOGASTER
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Madeline A. Crosby and Elliot M. Meyerowitz
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Male ,Ethyl methanesulfonate ,Investigations ,Biology ,medicine.disease_cause ,Genetic analysis ,chemistry.chemical_compound ,Gene cluster ,Genetics ,medicine ,Animals ,Gene ,Alleles ,Crosses, Genetic ,Mutation ,Polytene chromosome ,Genetic Complementation Test ,Chromosome Mapping ,Molecular biology ,Complementation ,Drosophila melanogaster ,Chromosome 3 ,chemistry ,Larva ,Female ,Genes, Lethal ,Mutagens - Abstract
We have conducted a genetic analysis of the region flanking the 68C glue gene cluster in Drosophila melanogaster by isolating lethal and semilethal mutations uncovered by deficiencies which span this region. Three different mutagens were used: ethyl methanesulfonate (EMS), ethyl nitrosourea (ENU) and diepoxybutane (DEB). In the region from 68A3 to 68C11, 64 lethal, semilethal, and visible mutations were recovered. These include alleles of 13 new lethal complementation groups, as well as new alleles of rotated, low xanthine dehydrogenase, lethal(3)517 and lethal(3)B76. Six new visible mutations from within this region were recovered on the basis of their reduced viability; all proved to be semiviable alleles of lethal complementation groups. No significant differences were observed in the distributions of lethals recovered using the three different mutagens. Each lethal was mapped on the basis of complementation with overlapping deficiencies; mutations that mapped within the same interval were tested for complementation, and the relative order of the lethal groups within each interval was determined by recombination. The cytological distribution of genes within the 68A3-68C11 region is not uniform: the region from 68A2,3 to 68B1,3 (seven to ten polytene chromosome bands) contains at least 13 lethal complementation groups and the mutation low xanthine dehydrogenase; the adjoining region from 68B1,3 to 68C5,6 (six to nine bands) includes the 68C glue gene cluster, but no known lethal or visible complementation groups; and the interval from 68C5,6 to 68C10,11 (three to five bands) contains at least three lethal complementation groups and the visible mutation rotated. The developmental stage at which lethality is observed was determined for a representative allele from each lethal complementation group.
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- 1986
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27. Drosophila glue gene Sgs-3: Sequences required for puffing and transcriptional regulation
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Madeline A. Crosby and Elliot M. Meyerowitz
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Transcription, Genetic ,DNA, Recombinant ,Chromosomes ,Salivary Glands ,chemistry.chemical_compound ,Transformation, Genetic ,stomatognathic system ,Transcription (biology) ,Gene expression ,Gene cluster ,Transcriptional regulation ,Animals ,Salivary Proteins and Peptides ,Molecular Biology ,Gene ,Base Sequence ,biology ,Glue Proteins, Drosophila ,RNA ,DNA ,Cell Biology ,biology.organism_classification ,Molecular biology ,Drosophila melanogaster ,Gene Expression Regulation ,chemistry ,Plasmids ,Developmental Biology - Abstract
The 68C intermolt puff of Drosophila melanogaster contains a cluster of three glue protein genes, Sgs-3, Sgs-7, and Sgs-8. By analysis of chromosomal rearrangements which break near the glue gene cluster, we have established that a region of no more than 20 kb is required for normal expression of the glue genes and for formation of the 68C puff. Using P element-mediated transformation, we have introduced defined segments of the 68C region into the fly genome and assayed the expression of the Sgs-3 gene. Based on the criteria of correct tissue- and stage-specific expression, transcription of an RNA of appropriate size and abundance, and production of an sgs-3 protein, the correctly regulated expression of the Sgs-3 gene requires less than 3.4 kb of total flanking sequences, approximately 2.3 kb 5' and 1.1 kb 3'. Formation of a new intermolt puff at the site of insertion is not observed for all transformants which produce high levels of Sgs-3 RNA. Only transformants in which the introduced DNA from 68C also contains the Sgs-7 and Sgs-8 genes cause a new intermolt puff at the chromosomal location of the insert.
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- 1986
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28. The abdominal region of the bithorax complex
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Welcome Bender, Susan E. Celniker, Edward B. Lewis, Barbara Weiffenbach, Mark Peifer, François Karch, Ian Duncan, and Madeline A. Crosby
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Male ,Mutant ,DNA, Recombinant ,Biology ,medicine.disease_cause ,General Biochemistry, Genetics and Molecular Biology ,chemistry.chemical_compound ,Sequence Homology, Nucleic Acid ,Abdomen ,Genes, Regulator ,Morphogenesis ,medicine ,Animals ,Cloning, Molecular ,Alleles ,Loss function ,Genes, Dominant ,Genetics ,Mutation ,Genetic Complementation Test ,fungi ,Chromosome Mapping ,Chromosome ,Cell Differentiation ,DNA ,Complementation ,Drosophila melanogaster ,Phenotype ,Genes ,chemistry ,Bithorax complex ,Female ,Homeotic gene - Abstract
The homeotic mutations in the right half of the bithorax complex of Drosophila cause segmental transformations in the second through the eighth segments of the fly. A chromosomal walk in the bithorax complex has now been extended 215 kb through the right half of the complex, and lesions for over 40 mutations have been located on the DNA map. The mutations can be grouped in a series of phenotypic classes, one for each abdominal segment, although each mutation typically affects more than one segment. The mutant lesions of each class are clustered, and they are aligned on the chromosome in the order of the body segments that they affect. Complementation tests suggest interactions between widely spaced DNA regions; indeed, the right half cannot be split anywhere without some loss of function.
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- 1985
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29. The Abdominal-B gene of Drosophila melanogaster : overlapping transcripts exhibit two different spatial distributions
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Ernesto Sánchez-Herrero and Madeline A. Crosby
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Genetics ,animal structures ,General Immunology and Microbiology ,biology ,General Neuroscience ,fungi ,Articles ,In situ hybridization ,biology.organism_classification ,General Biochemistry, Genetics and Molecular Biology ,Drosophilidae ,Bithorax complex ,Gene expression ,Homeobox ,Northern blot ,Drosophila melanogaster ,Molecular Biology ,Gene - Abstract
The Abdominal-B (Abd-B) gene of Drosophila controls the specification of segment identities in the posterior abdomen. We describe here the spatial and temporal distribution of Abd-B transcripts. At least five RNA species are detected on Northern blots with probes within the region of the Abd-B homeobox. We have identified probes specific for subsets of these transcripts and have used these probes to study the distribution of each subset by in situ hybridization to embryonic tissue sections. The transcripts can be divided into two groups: one group is expressed maximally in parasegment (PS)13 and extends anteriorly to PS10; the other is expressed only in PS14 and 15. These two different patterns of expression correspond to the anatomical domains defined by two classes of mutations in Abd-B. These results help explain the complex genetic interactions and phenotypes of mutations within this gene.
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- 1988
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30. Sequences sufficient for correct regulation of Sgs-3 lie close to or within the gene
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K.V. Raghavan, Madeline A. Crosby, Elliot M. Meyerowitz, and Peter H. Mathers
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animal structures ,Transcription, Genetic ,Locus (genetics) ,General Biochemistry, Genetics and Molecular Biology ,Plasmid ,stomatognathic system ,Genes, Regulator ,Gene expression ,Animals ,Salivary Proteins and Peptides ,Molecular Biology ,Gene ,Genetics ,Messenger RNA ,Base Sequence ,General Immunology and Microbiology ,biology ,Glue Proteins, Drosophila ,General Neuroscience ,fungi ,Nucleic Acid Hybridization ,RNA ,DNA Restriction Enzymes ,biology.organism_classification ,Drosophila melanogaster ,Genes ,Plasmids ,Research Article ,Polytene chromosome puff - Abstract
The Drosophila melanogaster 68C chromosomal locus is the site of a prominent polytene chromosome puff that harbors the genes Sgs-3, Sgs-7 and Sgs-8. These genes code for proteins that are part of the salivary glue that Drosophila larvae secrete as a means of fixing themselves to an external substrate for the duration of the pre-pupal and pupal period. The 68C glue genes are regulated by the steroid hormone ecdysterone, with the hormone required for both initiation and cessation of gene expression during the third larval instar. Previous work has defined sequences sufficient for expression of abundant levels of Sgs-3 mRNA at the correct time and in the correct tissue. We show here that sequences sufficient for normal tissue- and stage-specific accumulation of Sgs-3 RNA, but adequate only for low levels of expression, lie within 130 bp of the 5' end of the gene, or within the gene.
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- 1986
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31. Structural and functional analysis of some moulting hormone-responsive genes from Drosophila
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Jacques Jami, C.W. Jones, Lucy Cherbas, Jeanne Roux, Kenneth C. Burtis, Peter Cherbas, H. Beneš, Mark D. Garfinkel, Jean-Antoine Lepesant, William A. Segraves, Carl S. Thummel, G. Guild, M. M. D. Koehler, R.A. Schulz, J. Rebers, R. Moss, Peter H. Mathers, Elliot M. Meyerowitz, Raymond Pictet, David S. Hogness, M. Bourouis, G. Richards, Florence Maschat, Christopher Martin, A. Chao, K. VijayRaghavan, and Madeline A. Crosby
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Genetics ,biology ,viruses ,medicine.medical_treatment ,Mouse mammary tumor virus ,Provirus ,biology.organism_classification ,Biochemistry ,Glucocorticoid receptor binding ,Long terminal repeat ,Cell biology ,Steroid hormone ,Insect Science ,Drosophilidae ,medicine ,Molecular Biology ,Gene ,Glucocorticoid ,medicine.drug - Abstract
Publisher Summary This chapter discusses steroid-regulated vertebrate genes. The most extensively studied steroid-responsive gene is the mouse mammary tumor virus (MMTV) provirus. In a variety of cell types, chromosomally inserted proviruses give rise to a single transcript, initiating within the left long terminal repeat (LTR). This transcript is present at very low levels until the cells are exposed to a glucocorticoid hormone. Within minutes following hormone treatment, the titre of the MMTV transcript rises, reaching a level that is at least 50-fold above the basal level within 2 hours. Glucocorticoid receptor binding sites are located within the MMTV LTR, and the same region of the LTR is both necessary and sufficient to confer glucocorticoid inducibility. Receptor binding sites are clustered between 80 and 300 base pairs upstream of the transcriptional initiation sites, and additional sites are present at several positions internal to the transcript. The chapter discusses ecdysteroid-responsive genes from drosophila and glue genes.
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- 1986
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32. The 68C glue puff of Drosophila
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Christopher Martin, Elliot M. Meyerowitz, Peter H. Mathers, Mark D. Garfinkel, Madeline A. Crosby, and K. VijayRaghavan
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animal structures ,media_common.quotation_subject ,Cuticle ,Zoology ,Biochemistry ,Salivary Glands ,parasitic diseases ,Genes, Regulator ,Genetics ,Animals ,Metamorphosis ,Eggshell ,Molecular Biology ,Drosophila ,media_common ,Larva ,biology ,Base Sequence ,fungi ,A protein ,Anatomy ,DNA ,DNA Restriction Enzymes ,biology.organism_classification ,Pupa ,Drosophila melanogaster ,Genes ,Instar ,human activities - Abstract
Drosophila melanogaster begins its life as a fertilized egg, which undergoes embryogenesis within an egg shell for about a day and then hatches from the egg as a first instar larva. The wormlike larva eats yeast for a day, then sheds its first instar skin and crawls out as a second instar larva. One day later another molt occurs, resulting in a third instar larva. The third instar stage lasts approximately 40 hours at 25 °C toward the end of this stage the larva crawls out of its medium and onto a dry surface. After a few hours of wandering, it stops, contracts, and secretes a protein glue from its salivary glands that hardens and attaches the larva to its substrate (Fraenkel and Brookes 1953). The affixed larva then tans its third larval instar cuticle into a puparial case, and some hours later pupates within this case. Complete metamorphosis follows pupation, and after several days the pupal case is opened and a new adult emerges.
- Published
- 1985
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