Sima Misra , 1 , 2 , Madeline A Crosby 3 , Christopher J Mungall 2 , 4 , Beverley B Matthews 3 , Kathryn S Campbell 3 , Pavel Hradecky 3 , Yanmei Huang 3 , Joshua S Kaminker 1 , 2 , Gillian H Millburn 5 , Simon E Prochnik 1 , 2 , Christopher D Smith 1 , 2 , Jonathan L Tupy 1 , 2 , Eleanor J Whitfield 6 , Leyla Bayraktaroglu 3 , Benjamin P Berman 1 , Brian R Bettencourt 3 , Susan E Celniker 7 , Aubrey DNJ de Grey 5 , Rachel A Drysdale 5 , Nomi L Harris 2 , 7 , John Richter 4 , Susan Russo 3 , Andrew J Schroeder 3 , ShengQiang Shu 1 , 2 , Mark Stapleton 7 , Chihiro Yamada 5 , Michael Ashburner 5 , William M Gelbart 3 , Gerald M Rubin 1 , 2 , 4 , 7 , Suzanna E Lewis 1 , 2
31 December 2002
The recent completion of the Drosophila melanogaster genomic sequence to high quality, and the availability of a greatly expanded set of Drosophila cDNA sequences, afforded FlyBase the opportunity to significantly improve genomic annotations.
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.
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.
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.