Comparative validation of the D. melanogaster modENCODE transcriptome annotation

Research output: Contribution to journalArticlepeer-review

Authors

  • Zhen-Xia Chen
  • David Sturgill
  • Jiaxin Qu
  • Huaiyang Jiang
  • Soo Park
  • Nathan Boley
  • Ana Maria Suzuki
  • Anthony R Fletcher
  • David C Plachetzki
  • Peter C FitzGerald
  • Carlo G Artieri
  • Joel Atallah
  • Olga Barmina
  • Kerstin P Blankenburg
  • Emily Clough
  • Abhijit Dasgupta
  • Sai Gubbala
  • Yi Han
  • Joy C Jayaseelan
  • Divya Kalra
  • Yoo-Ah Kim
  • Christie L Kovar
  • Sandra L Lee
  • Mingmei Li
  • James D Malley
  • John H Malone
  • Tittu Mathew
  • Nicolas R Mattiuzzo
  • Mala Munidasa
  • Donna M Muzny
  • Fiona Ongeri
  • Lora Perales
  • Teresa M Przytycka
  • Ling-Ling Pu
  • Garrett Robinson
  • Rebecca L Thornton
  • Nehad Saada
  • Steven E Scherer
  • Harold E Smith
  • Charles Vinson
  • Crystal B Warner
  • Kim C Worley
  • Yuan-Qing Wu
  • Xiaoyan Zou
  • Peter Cherbas
  • Manolis Kellis
  • Michael B Eisen
  • Fabio Piano
  • Karin Kionte

Colleges, School and Institutes

External organisations

  • Section of Developmental Genomics, Laboratory of Cellular and Developmental Biology, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, Maryland 20892, USA.
  • Human Genome Sequencing Center, Baylor College of Medicine, Houston, Texas 77030, USA;
  • Department of Genome Dynamics, Life Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA;
  • Department of Statistics, University of California, Berkeley, 367 Evans Hall, Berkeley, California 94720-3860, USA.
  • Technology Development Group, RIKEN Omics Science Center and RIKEN Center for Life Science Technologies, Division of Genomic Technologies, Yokohama City, Kanagawa, Japan 230-0045;
  • Division of Computational Bioscience, Center For Information Technology, National Institutes of Health, Bethesda, Maryland 20814, USA;
  • Department of Evolution and Ecology, University of California, Davis, California 95616, USA;
  • National Cancer Institute, National Institutes of Health, Bethesda, Maryland 20892, USA;
  • Clinical Trials and Outcomes Branch, National Institute of Arthritis and Musculoskeletal and Skin Diseases, National Institutes of Health, Bethesda, Maryland 20892, USA;
  • National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, Maryland 20892, USA;
  • Department of Biology, Indiana University, 1001 East 3rd Street, Bloomington, Indiana 47405-7005, USA.
  • Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, Massachusetts 20139, USA;
  • Department of Molecular and Cell Biology, University of California, Berkeley, California 94720, USA.
  • Department of Biology, New York University, New York, New York 10003, USA;

Abstract

Accurate gene model annotation of reference genomes is critical for making them useful. The modENCODE project has improved the D. melanogaster genome annotation by using deep and diverse high-throughput data. Since transcriptional activity that has been evolutionarily conserved is likely to have an advantageous function, we have performed large-scale interspecific comparisons to increase confidence in predicted annotations. To support comparative genomics, we filled in divergence gaps in the Drosophila phylogeny by generating draft genomes for eight new species. For comparative transcriptome analysis, we generated mRNA expression profiles on 81 samples from multiple tissues and developmental stages of 15 Drosophila species, and we performed cap analysis of gene expression in D. melanogaster and D. pseudoobscura. We also describe conservation of four distinct core promoter structures composed of combinations of elements at three positions. Overall, each type of genomic feature shows a characteristic divergence rate relative to neutral models, highlighting the value of multispecies alignment in annotating a target genome that should prove useful in the annotation of other high priority genomes, especially human and other mammalian genomes that are rich in noncoding sequences. We report that the vast majority of elements in the annotation are evolutionarily conserved, indicating that the annotation will be an important springboard for functional genetic testing by the Drosophila community.

Details

Original languageEnglish
Pages (from-to)1209-1223
Number of pages15
JournalGenome Research
Volume24
Issue number7
Publication statusPublished - 1 Jul 2014

Keywords

  • Animals, Cluster Analysis, Computational Biology/methods, Drosophila melanogaster/classification, Evolution, Molecular, Exons, Female, Gene Expression Profiling, Genome, Insect, Humans, Male, Molecular Sequence Annotation, Nucleotide Motifs, Phylogeny, Position-Specific Scoring Matrices, Promoter Regions, Genetic, RNA Editing, RNA Splice Sites, RNA Splicing, Reproducibility of Results, Transcription Initiation Site, Transcriptome