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Featured researches published by Susan Russo.


Genome Biology | 2002

Annotation of the Drosophila melanogaster euchromatic genome: a systematic review

Sima Misra; Madeline A. Crosby; Christopher J. Mungall; Beverley B. Matthews; Kathryn S. Campbell; Pavel Hradecky; Yanmei Huang; Joshua S Kaminker; Gillian Millburn; Simon E Prochnik; Christopher D. Smith; Jonathan L Tupy; Eleanor J Whitfield; Leyla Bayraktaroglu; Benjamin P. Berman; Brian Bettencourt; Susan E. Celniker; Aubrey D.N.J. de Grey; Rachel Drysdale; Nomi L. Harris; John Richter; Susan Russo; Andrew J. Schroeder; ShengQiang Shu; Mark Stapleton; Chihiro Yamada; Michael Ashburner; William M. Gelbart; Gerald M. Rubin; Suzanna E. Lewis

BackgroundThe 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.ResultsAlthough 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.ConclusionsIdentification 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.


Genetics | 2008

Chromosomal Rearrangement Inferred From Comparisons of 12 Drosophila Genomes

Arjun Bhutkar; Stephen W. Schaeffer; Susan Russo; Mu Xu; Temple F. Smith; William M. Gelbart

The availability of 12 complete genomes of various species of genus Drosophila provides a unique opportunity to analyze genome-scale chromosomal rearrangements among a group of closely related species. This article reports on the comparison of gene order between these 12 species and on the fixed rearrangement events that disrupt gene order. Three major themes are addressed: the conservation of syntenic blocks across species, the disruption of syntenic blocks (via chromosomal inversion events) and its relationship to the phylogenetic distribution of these species, and the rate of rearrangement events over evolutionary time. Comparison of syntenic blocks across this large genomic data set confirms that genetic elements are largely (95%) localized to the same Muller element across genus Drosophila species and paracentric inversions serve as the dominant mechanism for shuffling the order of genes along a chromosome. Gene-order scrambling between species is in accordance with the estimated evolutionary distances between them and we find it to approximate a linear process over time (linear to exponential with alternate divergence time estimates). We find the distribution of synteny segment sizes to be biased by a large number of small segments with comparatively fewer large segments. Our results provide estimated chromosomal evolution rates across this set of species on the basis of whole-genome synteny analysis, which are found to be higher than those previously reported. Identification of conserved syntenic blocks across these genomes suggests a large number of conserved blocks with varying levels of embryonic expression correlation in Drosophila melanogaster. On the other hand, an analysis of the disruption of syntenic blocks between species allowed the identification of fixed inversion breakpoints and estimates of breakpoint reuse and lineage-specific breakpoint event segregation.


Genetics | 2008

Polytene Chromosomal Maps of 11 Drosophila Species: The Order of Genomic Scaffolds Inferred From Genetic and Physical Maps

Stephen W. Schaeffer; Arjun Bhutkar; Bryant F. McAllister; Muneo Matsuda; Luciano M. Matzkin; Patrick M. O'Grady; Claudia Rohde; Vera L. S. Valente; Montserrat Aguadé; Wyatt W. Anderson; Kevin A. Edwards; Ana Cristina Lauer Garcia; Josh Goodman; James Hartigan; Eiko Kataoka; Richard T. Lapoint; Elena R. Lozovsky; Carlos A. Machado; Mohamed A. F. Noor; Montserrat Papaceit; Laura K. Reed; Stephen Richards; Tania T. Rieger; Susan Russo; Hajime Sato; Carmen Segarra; Douglas R. Smith; Temple F. Smith; Victor Strelets; Yoshiko N. Tobari

The sequencing of the 12 genomes of members of the genus Drosophila was taken as an opportunity to reevaluate the genetic and physical maps for 11 of the species, in part to aid in the mapping of assembled scaffolds. Here, we present an overview of the importance of cytogenetic maps to Drosophila biology and to the concepts of chromosomal evolution. Physical and genetic markers were used to anchor the genome assembly scaffolds to the polytene chromosomal maps for each species. In addition, a computational approach was used to anchor smaller scaffolds on the basis of the analysis of syntenic blocks. We present the chromosomal map data from each of the 11 sequenced non-Drosophila melanogaster species as a series of sections. Each section reviews the history of the polytene chromosome maps for each species, presents the new polytene chromosome maps, and anchors the genomic scaffolds to the cytological maps using genetic and physical markers. The mapping data agree with Mullers idea that the majority of Drosophila genes are syntenic. Despite the conservation of genes within homologous chromosome arms across species, the karyotypes of these species have changed through the fusion of chromosomal arms followed by subsequent rearrangement events.


Nucleic Acids Research | 2007

VectorBase: a home for invertebrate vectors of human pathogens

Daniel John Lawson; Peter Arensburger; Peter W. Atkinson; Nora J. Besansky; Robert V. Bruggner; Ryan Butler; Kathryn S. Campbell; George K. Christophides; Scott Christley; Emmanuel Dialynas; David B. Emmert; Martin Hammond; Catherine A. Hill; Ryan C. Kennedy; Neil F. Lobo; Robert M. MacCallum; Gregory R. Madey; Karine Megy; Seth Redmond; Susan Russo; David W. Severson; Eric O. Stinson; Pantelis Topalis; Evgeni M. Zdobnov; Ewan Birney; William M. Gelbart; Fotis C. Kafatos; Christos Louis; Frank H. Collins

VectorBase () is a web-accessible data repository for information about invertebrate vectors of human pathogens. VectorBase annotates and maintains vector genomes providing an integrated resource for the research community. Currently, VectorBase contains genome information for two organisms: Anopheles gambiae, a vector for the Plasmodium protozoan agent causing malaria, and Aedes aegypti, a vector for the flaviviral agents causing Yellow fever and Dengue fever.


Genome Biology | 2002

Annotation of the Drosophila melanogastereuchromatic genome: a systematic review

Sima Misra; Madeline A. Crosby; Chris Mungall; Beverley B. Matthews; Kathryn S. Campbell; Pavel Hradecky; Yanmei Huang; Joshua S Kaminker; Gillian Millburn; Simon E Prochnik; Christopher D. Smith; Jonathan L Tupy; Eleanor J Whitfield; Leyla Bayraktaroglu; Benjamin P. Berman; Brian Bettencourt; Susan E. Celniker; Aubrey D.N.J. de Grey; Rachel Drysdale; Nomi L Harris; John Richter; Susan Russo; Andrew J. Schroeder; ShengQiang Shu; Mark Stapleton; Chihiro Yamada; Michael Ashburner; William M. Gelbart; Gerald M. Rubin; Suzanna E. Lewis

BackgroundThe 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.ResultsAlthough 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.ConclusionsIdentification 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.


G3: Genes, Genomes, Genetics | 2015

Gene Model Annotations for Drosophila melanogaster: Impact of High-Throughput Data

Beverley B. Matthews; Gilberto dos Santos; Madeline A. Crosby; David B. Emmert; Susan E. St. Pierre; L. Sian Gramates; Pinglei Zhou; Andrew J. Schroeder; Kathleen Falls; Victor B. Strelets; Susan Russo; William M. Gelbart

We report the current status of the FlyBase annotated gene set for Drosophila melanogaster and highlight improvements based on high-throughput data. The FlyBase annotated gene set consists entirely of manually annotated gene models, with the exception of some classes of small non-coding RNAs. All gene models have been reviewed using evidence from high-throughput datasets, primarily from the modENCODE project. These datasets include RNA-Seq coverage data, RNA-Seq junction data, transcription start site profiles, and translation stop-codon read-through predictions. New annotation guidelines were developed to take into account the use of the high-throughput data. We describe how this flood of new data was incorporated into thousands of new and revised annotations. FlyBase has adopted a philosophy of excluding low-confidence and low-frequency data from gene model annotations; we also do not attempt to represent all possible permutations for complex and modularly organized genes. This has allowed us to produce a high-confidence, manageable gene annotation dataset that is available at FlyBase (http://flybase.org). Interesting aspects of new annotations include new genes (coding, non-coding, and antisense), many genes with alternative transcripts with very long 3′ UTRs (up to 15–18 kb), and a stunning mismatch in the number of male-specific genes (approximately 13% of all annotated gene models) vs. female-specific genes (less than 1%). The number of identified pseudogenes and mutations in the sequenced strain also increased significantly. We discuss remaining challenges, for instance, identification of functional small polypeptides and detection of alternative translation starts.


Genome Biology | 2002

Annotation of the Drosophila melanogaster

Sima Misra; Madeline A. Crosby; Christopher J. Mungall; Beverley B. Matthews; Kathryn S. Campbell; Pavel Hradecky; Yanmei Huang; Joshua S Kaminker; Gillian Millburn; Simon E Prochnik; Christopher D. Smith; Jonathan L Tupy; Eleanor J Whitfield; Leyla Bayraktaroglu; Benjamin P. Berman; Brian Bettencourt; Susan E. Celniker; Aubrey D.N.J. de Grey; Rachel Drysdale; Nomi L. Harris; John Richter; Susan Russo; Andrew J. Schroeder; ShengQiang Shu; Mark Stapleton; Chihiro Yamada; Michael Ashburner; William M. Gelbart; Gerald M. Rubin; Suzanna E. Lewis

BackgroundThe 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.ResultsAlthough 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.ConclusionsIdentification 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.


G3: Genes, Genomes, Genetics | 2015

Gene Model Annotations for Drosophila melanogaster: The Rule-Benders

Madeline A. Crosby; L. Sian Gramates; Gilberto dos Santos; Beverley B. Matthews; Susan E. St. Pierre; Pinglei Zhou; Andrew J. Schroeder; Kathleen Falls; David B. Emmert; Susan Russo; William M. Gelbart

In the context of the FlyBase annotated gene models in Drosophila melanogaster, we describe the many exceptional cases we have curated from the literature or identified in the course of FlyBase analysis. These range from atypical but common examples such as dicistronic and polycistronic transcripts, noncanonical splices, trans-spliced transcripts, noncanonical translation starts, and stop-codon readthroughs, to single exceptional cases such as ribosomal frameshifting and HAC1-type intron processing. In FlyBase, exceptional genes and transcripts are flagged with Sequence Ontology terms and/or standardized comments. Because some of the rule-benders create problems for handlers of high-throughput data, we discuss plans for flagging these cases in bulk data downloads.


Genome Research | 2007

Genome-scale analysis of positionally relocated genes

Arjun Bhutkar; Susan Russo; Temple F. Smith; William M. Gelbart


Genome Informatics | 2006

Techniques for Multi-Genome Synteny Analysis to Overcome Assembly Limitations

Arjun Bhutkar; Susan Russo; Temple F. Smith; William M. Gelbart

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Arjun Bhutkar

Massachusetts Institute of Technology

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Gerald M. Rubin

Howard Hughes Medical Institute

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