Yandell, M. et al. A computational and experimental approach to validating annotations and gene predictions in the Drosophila melanogaster genome. Proc. Natl Acad. Sci. USA 102, 1566-1571

Howard Hughes Medical Institute and Department of Molecular and Cell Biology, University of California, Life Sciences Addition, Berkeley, CA 94720-3200, USA.
Proceedings of the National Academy of Sciences (Impact Factor: 9.67). 03/2005; 102(5):1566-71. DOI: 10.1073/pnas.0409421102
Source: PubMed


Five years after the completion of the sequence of the Drosophila melanogaster genome, the number of protein-coding genes it contains remains a matter of debate; the number of computational gene predictions greatly exceeds the number of validated gene annotations. We have assembled a collection of >10,000 gene predictions that do not overlap existing gene annotations and have developed a process for their validation that allows us to efficiently prioritize and experimentally validate predictions from various sources by sequencing RT-PCR products to confirm gene structures. Our data provide experimental evidence for 122 protein-coding genes. Our analyses suggest that the entire collection of predictions contains only approximately 700 additional protein-coding genes. Although we cannot rule out the discovery of genes with unusual features that make them refractory to existing methods, our results suggest that the D. melanogaster genome contains approximately 14,000 protein-coding genes.

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    • "The stability of gene numbers in both organisms is certainly not due to neglect. Genome-wide searches for new protein coding genes followed by PCR-verification have been undertaken in both animals [28,29]. "
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    ABSTRACT: The ever-increasing number of sequenced and annotated genomes has made management of their annotations a significant undertaking, especially for large eukaryotic genomes containing many thousands of genes. Typically, changes in gene and transcript numbers are used to summarize changes from release to release, but these measures say nothing about changes to individual annotations, nor do they provide any means to identify annotations in need of manual review. In response, we have developed a suite of quantitative measures to better characterize changes to a genome's annotations between releases, and to prioritize problematic annotations for manual review. We have applied these measures to the annotations of five eukaryotic genomes over multiple releases -- H. sapiens, M. musculus, D. melanogaster, A. gambiae, and C. elegans. Our results provide the first detailed, historical overview of how these genomes' annotations have changed over the years, and demonstrate the usefulness of these measures for genome annotation management.
    BMC Bioinformatics 03/2009; 10(1):67. DOI:10.1186/1471-2105-10-67 · 2.58 Impact Factor
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    • "Though protein-coding gene numbers have been a subject of controversy, most annotated model Eukaryotes contain on the order of 15,000–25,000 protein-coding genes (for discussion, see Yandell et al. 2005). Drosophila, e.g., is believed to contain fewer than 15,000 protein coding genes (Yandell et al. 2005), and the WS160 WormBase release puts the number of C. elegans genes at slightly less than 20,000. The latest Ensembl (Stabenau et al. 2004) release of the human genome contains 21,724 known protein-coding genes. "
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    ABSTRACT: We have developed a portable and easily configurable genome annotation pipeline called MAKER. Its purpose is to allow investigators to independently annotate eukaryotic genomes and create genome databases. MAKER identifies repeats, aligns ESTs and proteins to a genome, produces ab initio gene predictions, and automatically synthesizes these data into gene annotations having evidence-based quality indices. MAKER is also easily trainable: Outputs of preliminary runs are used to automatically retrain its gene-prediction algorithm, producing higher-quality gene-models on subsequent runs. MAKER's inputs are minimal, and its outputs can be used to create a GMOD database. Its outputs can also be viewed in the Apollo Genome browser; this feature of MAKER provides an easy means to annotate, view, and edit individual contigs and BACs without the overhead of a database. As proof of principle, we have used MAKER to annotate the genome of the planarian Schmidtea mediterranea and to create a new genome database, SmedGD. We have also compared MAKER's performance to other published annotation pipelines. Our results demonstrate that MAKER provides a simple and effective means to convert a genome sequence into a community-accessible genome database. MAKER should prove especially useful for emerging model organism genome projects for which extensive bioinformatics resources may not be readily available.
    Genome Research 02/2008; 18(1):188-96. DOI:10.1101/gr.6743907 · 14.63 Impact Factor
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    • "For D. melanogaster, estimates varied from the initial ~ 13,600 coding gene predictions [7] to about 16,000 gene predictions, based on microarray expression data [8]. A careful computational and experimental analysis carried to validate the Drosophila genome annotation has recently concluded that the D.melanogaster genome in fact contains approximately 14,000 protein-coding genes, although some genes presenting unusual features that make them refractory to prediction methods may remain to be discovered [9]. However, the truthful notion about the complexity of the D. melanogaster transcriptome is still under construction. "
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    ABSTRACT: The sequencing of the D.melanogaster genome revealed an unexpected small number of genes (~ 14,000) indicating that mechanisms acting on generation of transcript diversity must have played a major role in the evolution of complex metazoans. Among the most extensively used mechanisms that accounts for this diversity is alternative splicing. It is estimated that over 40% of Drosophila protein-coding genes contain one or more alternative exons. A recent transcription map of the Drosophila embryogenesis indicates that 30% of the transcribed regions are unannotated, and that 1/3 of this is estimated as missed or alternative exons of previously characterized protein-coding genes. Therefore, the identification of the variety of expressed transcripts depends on experimental data for its final validation and is continuously being performed using different approaches. We applied the Open Reading Frame Expressed Sequence Tags (ORESTES) methodology, which is capable of generating cDNA data from the central portion of rare transcripts, in order to investigate the presence of hitherto unnanotated regions of Drosophila transcriptome. Bioinformatic analysis of 1,303 Drosophila ORESTES clusters identified 68 sequences derived from unannotated regions in the current Drosophila genome version (4.3). Of these, a set of 38 was analysed by polyA+ northern blot hybridization, validating 17 (50%) new exons of low abundance transcripts. For one of these ESTs, we obtained the cDNA encompassing the complete coding sequence of a new serine protease, named SP212. The SP212 gene is part of a serine protease gene cluster located in the chromosome region 88A12-B1. This cluster includes the predicted genes CG9631, CG9649 and CG31326, which were previously identified as up-regulated after immune challenges in genomic-scale microarray analysis. In agreement with the proposal that this locus is co-regulated in response to microorganisms infection, we show here that SP212 is also up-regulated upon injury. Using the ORESTES methodology we identified 17 novel exons from low abundance Drosophila transcripts, and through a PCR approach the complete CDS of one of these transcripts was defined. Our results show that the computational identification and manual inspection are not sufficient to annotate a genome in the absence of experimentally derived data.
    BMC Genomics 02/2007; 8(1):249. DOI:10.1186/1471-2164-8-249 · 3.99 Impact Factor
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