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Authors :
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
Susan M. Russo
Source :
Genome Biology. 3:research0083.1
Publication Year :
2002
Publisher :
Springer Science and Business Media LLC, 2002.

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.

Details

ISSN :
14656906
Volume :
3
Database :
OpenAIRE
Journal :
Genome Biology
Accession number :
edsair.doi...........37aa41d63f7bfe1fc063163304430112
Full Text :
https://doi.org/10.1186/gb-2002-3-12-research0083