Brian Bettencourt
Harvard University
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Featured researches published by Brian Bettencourt.
Genome Biology | 2002
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.
BMC Biology | 2008
Brian Bettencourt; Catherine C Hogan; Mario Nimali; Brian Drohan
BackgroundThe heat shock protein Hsp70 promotes inducible thermotolerance in nearly every organism examined to date. Hsp70 interacts with a network of other stress-response proteins, and dissecting the relative roles of these interactions in causing thermotolerance remains difficult. Here we examine the effect of Hsp70 gene copy number modification on thermotolerance and the expression of multiple stress-response genes in Drosophila melanogaster, to determine which genes may represent mechanisms of stress tolerance independent of Hsp70.ResultsHsp70 copy number in four strains is positively associated with Hsp70 expression and inducible thermotolerance of severe heat shock. When assayed at carefully chosen temperatures, Hsp70 null flies are almost entirely deficient in thermotolerance. In contrast to expectations, increasing Hsp70 expression levels induced by thermal pretreatment are associated with increasing levels of seven other inducible Hsps across strains. In addition, complete Hsp70 loss causes upregulation of the inducible Hsps and six constitutive stress-response genes following severe heat shocks.ConclusionModification of Hsp70 copy number quantitatively and qualitatively affects the expression of multiple other stress-response genes. A positive association between absolute expression levels of Hsp70 and other Hsps after thermal pretreatment suggests novel regulatory mechanisms. Severe heat shocks induce both novel gene expression patterns and almost total mortality in the Hsp70 null strain: alteration of gene expression in this strain does not compensate for Hsp70 loss but suggests candidates for overexpression studies.
Genome Biology | 2002
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.
Journal of Biosciences | 2007
Brian Bettencourt; Catherine C Hogan; Mario Nimali
Repetitive DNA sequences that encode polyglutamine tracts are prone to expansion and cause highly deleterious phenotypes of neurodegeneration. Despite this tendency, polyglutamine tracts (“polyQs”) are conserved features of eukaryotic genomes. PolyQs are the most frequent protein-coding homotypic repeat in insect genomes, and are found predominantly in genes encoding transcription factors conserved from Drosophila through human. Although highly conserved across species, polyQ lengths vary widely within species. In D. melanogaster, polyQs in 25 genes have more alleles and higher heterozygosity than all other poly-amino acid tracts. The heat shock protein Hsp70 is a principal suppressor of polyQ expansions and may play a key role in modulating the phenotypes of the alleles that encode them. Hsp70 also promotes tolerance of natural thermal stress in Drosophila and diverse organisms, a role which may deplete the chaperone from buffering against polyQ toxicity. Thus in stressful environments, natural selection against long polyQ alleles more prone to expansion and deleterious phenotypes may be more effective. This hypothesis can be tested by measuring the phenotypic interactions between Hsp70 and polyQ transgenes in D. melanogaster undergoing natural thermal stress, an approach which integrates comparative genomics with experimental and ecological genetics.
Genome Biology | 2002
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.
Behavior Genetics | 2009
Brian Bettencourt; Brian Drohan; Andrea T. Ireland; Mahalakshmi Santhanam; Mary Beth Smrtic; Erin M. Sullivan
Thermotolerance involves more than life or death. Investigating the complexity of this trait will aid identification of its genetic contributors. We examined variation in thermally stressed walking behavior and performance in natural Drosophila melanogaster strains and strains mutant for the heat shock protein Hsp70, to determine which aspects of locomotion are affected by heat shock and genotype. We developed software for the large-scale capture, analysis, and visualization of locomotion, and determined: (1) Heat shock and thermal pretreatment significantly and differentially impact fly locomotor behavior and performance. (2) Stressed locomotion traits vary extensively among natural strains. (3) Interactions among treatments, strains, and traits are substantial and often counterintuitive. (4) Hsp70 overexpressing flies are faster and more basally thermoprotected in performance than Hsp70 null flies, but null flies are more unidirectional. (5) Natural variation in most stressed locomotion traits exceeds that caused by Hsp70 mutation, reveals uncoupling between thermoprotection of behavior and performance, and suggests significant genetic variation for trait-specific modifiers of thermotolerance.
Journal of Molecular Evolution | 2009
Catherine C Hogan; Brian Bettencourt
Hsc/Hsp70-interacting protein (HIP) is a rapidly evolving Hsp70 cofactor. Analyses of multiple Drosophila species indicate that the HIP gene is duplicated only in D. melanogaster. The HIP region, in fact, contains seven distinctly evolving duplicated genes. The regional duplication occurred in two steps, fixed rapidly, and illustrates multiple modes of duplicate gene evolution. HIP and its duplicate HIP-R are adaptively evolving in a manner unique to the region: they exhibit elevated divergence from other drosophilids and low polymorphism within D. melanogaster. HIP and HIP-R are virtually identical, share polymorphisms, and are subject to gene conversion. In contrast, two other duplicate genes in the region, CG33221 and GP-CG32779, are pseudogenes, and the chimeric gene Crg1 is subject to balancing selection. HIP and HIP-R are evolving rapidly and adaptively; however, positive selection is not sufficient to explain the molecular evolution of the region as a whole.
Genome Research | 2005
Stephen Richards; Yue Liu; Brian Bettencourt; Pavel Hradecky; Stan Letovsky; Rasmus Nielsen; Kevin R. Thornton; Melissa J. Hubisz; Rui Chen; Richard P. Meisel; Olivier Couronne; Sujun Hua; Mark A. Smith; Peili Zhang; Jing Liu; Harmen J. Bussemaker; Marinus F. van Batenburg; Sally L. Howells; Steven E. Scherer; Erica Sodergren; Beverly B. Matthews; Madeline A. Crosby; Andrew J. Schroeder; Daniel Ortiz-Barrientos; Catharine M. Rives; Michael L. Metzker; Donna M. Muzny; Graham Scott; David Steffen; David A. Wheeler
Molecular Biology and Evolution | 2005
Bernardo Lemos; Brian Bettencourt; Colin D. Meiklejohn; Daniel L. Hartl
Science | 2004
Rob J. Kulathinal; Brian Bettencourt; Daniel L. Hartl