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1. FlyBase portals to human disease research using Drosophila models

Author

Gillian H. Millburn, Madeline A. Crosby, L. Sian Gramates, Susan Tweedie, and the FlyBase Consortium

Subjects
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.

Published
2016
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2. Using FlyBase, a Database of Drosophila Genes & Genomes

Author

Steven J Marygold, Madeline A. Crosby, and Joshua L. Goodman

Subjects
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.

Published
2016

3. Discovery of functional elements in 12 Drosophila genomes using evolutionary signatures

Author

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

Subjects
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.

Published
2007
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4. Insights into social insects from the genome of the honeybee Apis mellifera

Author

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

Subjects
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

Published
2006
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