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Dive into the research topics where Jane Rogers is active.

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Featured researches published by Jane Rogers.


Nature | 1998

Deciphering the biology of Mycobacterium tuberculosis from the complete genome sequence.

Stewart T. Cole; Roland Brosch; Julian Parkhill; Thierry Garnier; Carol Churcher; David Harris; Stephen V. Gordon; Karin Eiglmeier; S. Gas; Clifton E. Barry; Fredj Tekaia; K. L. Badcock; D. Basham; D. Brown; Tracey Chillingworth; R. Connor; Robert Davies; K. Devlin; Theresa Feltwell; S. Gentles; N. Hamlin; S. Holroyd; T. Hornsby; Kay Jagels; Anders Krogh; J. McLean; Sharon Moule; Lee Murphy; Karen Oliver; J. Osborne

Countless millions of people have died from tuberculosis, a chronic infectious disease caused by the tubercle bacillus. The complete genome sequence of the best-characterized strain of Mycobacterium tuberculosis, H37Rv, has been determined and analysed in order to improve our understanding of the biology of this slow-growing pathogen and to help the conception of new prophylactic and therapeutic interventions. The genome comprises 4,411,529 base pairs, contains around 4,000 genes, and has a very high guanine + cytosine content that is reflected in the biased amino-acid content of the proteins. M. tuberculosis differs radically from other bacteria in that a very large portion of its coding capacity is devoted to the production of enzymes involved in lipogenesis and lipolysis, and to two new families of glycine-rich proteins with a repetitive structure that may represent a source of antigenic variation.


Nature Genetics | 2006

DNA methylation profiling of human chromosomes 6, 20 and 22

Florian Eckhardt; Jörn Lewin; Rene Cortese; Vardhman K. Rakyan; John Attwood; Matthias Burger; John Burton; Tony Cox; Rob Davies; Thomas A. Down; Carolina Haefliger; Roger Horton; Kevin L. Howe; David K. Jackson; Jan Kunde; Christoph Koenig; Jennifer Liddle; David Niblett; Thomas Otto; Roger Pettett; Stefanie Seemann; Christian Thompson; Tony West; Jane Rogers; Alex Olek; Kurt Berlin; Stephan Beck

DNA methylation is the most stable type of epigenetic modification modulating the transcriptional plasticity of mammalian genomes. Using bisulfite DNA sequencing, we report high-resolution methylation profiles of human chromosomes 6, 20 and 22, providing a resource of about 1.9 million CpG methylation values derived from 12 different tissues. Analysis of six annotation categories showed that evolutionarily conserved regions are the predominant sites for differential DNA methylation and that a core region surrounding the transcriptional start site is an informative surrogate for promoter methylation. We find that 17% of the 873 analyzed genes are differentially methylated in their 5′ UTRs and that about one-third of the differentially methylated 5′ UTRs are inversely correlated with transcription. Despite the fact that our study controlled for factors reported to affect DNA methylation such as sex and age, we did not find any significant attributable effects. Our data suggest DNA methylation to be ontogenetically more stable than previously thought.


PLOS Biology | 2003

The genome sequence of Caenorhabditis briggsae: A platform for comparative genomics

Lincoln Stein; Zhirong Bao; Darin Blasiar; Thomas Blumenthal; Michael R. Brent; Nansheng Chen; Asif T. Chinwalla; Laura Clarke; Chris Clee; Avril Coghlan; Alan Coulson; Peter D'Eustachio; David H. A. Fitch; Lucinda A. Fulton; Robert Fulton; Sam Griffiths-Jones; Todd W. Harris; LaDeana W. Hillier; Ravi S. Kamath; Patricia E. Kuwabara; Elaine R. Mardis; Marco A. Marra; Tracie L. Miner; Patrick Minx; James C. Mullikin; Robert W. Plumb; Jane Rogers; Jacqueline E. Schein; Marc Sohrmann; John Spieth

The soil nematodes Caenorhabditis briggsae and Caenorhabditis elegans diverged from a common ancestor roughly 100 million years ago and yet are almost indistinguishable by eye. They have the same chromosome number and genome sizes, and they occupy the same ecological niche. To explore the basis for this striking conservation of structure and function, we have sequenced the C. briggsae genome to a high-quality draft stage and compared it to the finished C. elegans sequence. We predict approximately 19,500 protein-coding genes in the C. briggsae genome, roughly the same as in C. elegans. Of these, 12,200 have clear C. elegans orthologs, a further 6,500 have one or more clearly detectable C. elegans homologs, and approximately 800 C. briggsae genes have no detectable matches in C. elegans. Almost all of the noncoding RNAs (ncRNAs) known are shared between the two species. The two genomes exhibit extensive colinearity, and the rate of divergence appears to be higher in the chromosomal arms than in the centers. Operons, a distinctive feature of C. elegans, are highly conserved in C. briggsae, with the arrangement of genes being preserved in 96% of cases. The difference in size between the C. briggsae (estimated at approximately 104 Mbp) and C. elegans (100.3 Mbp) genomes is almost entirely due to repetitive sequence, which accounts for 22.4% of the C. briggsae genome in contrast to 16.5% of the C. elegans genome. Few, if any, repeat families are shared, suggesting that most were acquired after the two species diverged or are undergoing rapid evolution. Coclustering the C. elegans and C. briggsae proteins reveals 2,169 protein families of two or more members. Most of these are shared between the two species, but some appear to be expanding or contracting, and there seem to be as many as several hundred novel C. briggsae gene families. The C. briggsae draft sequence will greatly improve the annotation of the C. elegans genome. Based on similarity to C. briggsae, we found strong evidence for 1,300 new C. elegans genes. In addition, comparisons of the two genomes will help to understand the evolutionary forces that mold nematode genomes.


Nature | 2008

Dynamic repertoire of a eukaryotic transcriptome surveyed at single-nucleotide resolution

Brian T. Wilhelm; Samuel Marguerat; Stephen Watt; Falk Schubert; Valerie Wood; Ian Goodhead; Christopher J. Penkett; Jane Rogers; Jürg Bähler

Recent data from several organisms indicate that the transcribed portions of genomes are larger and more complex than expected, and that many functional properties of transcripts are based not on coding sequences but on regulatory sequences in untranslated regions or non-coding RNAs. Alternative start and polyadenylation sites and regulation of intron splicing add additional dimensions to the rich transcriptional output. This transcriptional complexity has been sampled mainly using hybridization-based methods under one or few experimental conditions. Here we applied direct high-throughput sequencing of complementary DNAs (RNA-Seq), supplemented with data from high-density tiling arrays, to globally sample transcripts of the fission yeast Schizosaccharomyces pombe, independently from available gene annotations. We interrogated transcriptomes under multiple conditions, including rapid proliferation, meiotic differentiation and environmental stress, as well as in RNA processing mutants to reveal the dynamic plasticity of the transcriptional landscape as a function of environmental, developmental and genetic factors. High-throughput sequencing proved to be a powerful and quantitative method to sample transcriptomes deeply at maximal resolution. In contrast to hybridization, sequencing showed little, if any, background noise and was sensitive enough to detect widespread transcription in >90% of the genome, including traces of RNAs that were not robustly transcribed or rapidly degraded. The combined sequencing and strand-specific array data provide rich condition-specific information on novel, mostly non-coding transcripts, untranslated regions and gene structures, thus improving the existing genome annotation. Sequence reads spanning exon–exon or exon–intron junctions give unique insight into a surprising variability in splicing efficiency across introns, genes and conditions. Splicing efficiency was largely coordinated with transcript levels, and increased transcription led to increased splicing in test genes. Hundreds of introns showed such regulated splicing during cellular proliferation or differentiation.


Nature | 2009

The genome of the blood fluke Schistosoma mansoni

Matthew Berriman; Brian J. Haas; Philip T. LoVerde; R. Alan Wilson; Gary P. Dillon; Gustavo C. Cerqueira; Susan T. Mashiyama; Bissan Al-Lazikani; Luiza F. Andrade; Peter D. Ashton; Martin Aslett; Daniella Castanheira Bartholomeu; Gaëlle Blandin; Conor R. Caffrey; Avril Coghlan; Richard M. R. Coulson; Tim A. Day; Arthur L. Delcher; Ricardo DeMarco; Appoliniare Djikeng; Tina Eyre; John Gamble; Elodie Ghedin; Yong-Hong Gu; Christiane Hertz-Fowler; Hirohisha Hirai; Yuriko Hirai; Robin Houston; Alasdair Ivens; David A. Johnston

Schistosoma mansoni is responsible for the neglected tropical disease schistosomiasis that affects 210 million people in 76 countries. Here we present analysis of the 363 megabase nuclear genome of the blood fluke. It encodes at least 11,809 genes, with an unusual intron size distribution, and new families of micro-exon genes that undergo frequent alternative splicing. As the first sequenced flatworm, and a representative of the Lophotrochozoa, it offers insights into early events in the evolution of the animals, including the development of a body pattern with bilateral symmetry, and the development of tissues into organs. Our analysis has been informed by the need to find new drug targets. The deficits in lipid metabolism that make schistosomes dependent on the host are revealed, and the identification of membrane receptors, ion channels and more than 300 proteases provide new insights into the biology of the life cycle and new targets. Bioinformatics approaches have identified metabolic chokepoints, and a chemogenomic screen has pinpointed schistosome proteins for which existing drugs may be active. The information generated provides an invaluable resource for the research community to develop much needed new control tools for the treatment and eradication of this important and neglected disease.


PLOS Biology | 2008

A novel CpG island set identifies tissue-specific methylation at developmental gene loci.

Robert S. Illingworth; Alastair Kerr; Dina DeSousa; Helle F. Jørgensen; Peter Ellis; Jim Stalker; David Jackson; Chris Clee; Robert Plumb; Jane Rogers; Sean Humphray; Tony V. Cox; Cordelia Langford; Adrian Bird

CpG islands (CGIs) are dense clusters of CpG sequences that punctuate the CpG-deficient human genome and associate with many gene promoters. As CGIs also differ from bulk chromosomal DNA by their frequent lack of cytosine methylation, we devised a CGI enrichment method based on nonmethylated CpG affinity chromatography. The resulting library was sequenced to define a novel human blood CGI set that includes many that are not detected by current algorithms. Approximately half of CGIs were associated with annotated gene transcription start sites, the remainder being intra- or intergenic. Using an array representing over 17,000 CGIs, we established that 6%–8% of CGIs are methylated in genomic DNA of human blood, brain, muscle, and spleen. Inter- and intragenic CGIs are preferentially susceptible to methylation. CGIs showing tissue-specific methylation were overrepresented at numerous genetic loci that are essential for development, including HOX and PAX family members. The findings enable a comprehensive analysis of the roles played by CGI methylation in normal and diseased human tissues.


Nature Genetics | 2007

Interleukin-2 gene variation impairs regulatory T cell function and causes autoimmunity

Jun Yamanouchi; Dan Rainbow; Pau Serra; Sarah Howlett; Kara Hunter; Valerie Garner; Andrea Gonzalez-Munoz; Jan Clark; Riitta Veijola; Rose M. Cubbon; Show-Ling Chen; Ray Rosa; Anne Marie Cumiskey; David V. Serreze; Simon G. Gregory; Jane Rogers; Paul A. Lyons; Barry Healy; Luc J. Smink; John A. Todd; Laurence B. Peterson; Linda S. Wicker; Pere Santamaria

Autoimmune diseases are thought to result from imbalances in normal immune physiology and regulation. Here, we show that autoimmune disease susceptibility and resistance alleles on mouse chromosome 3 (Idd3) correlate with differential expression of the key immunoregulatory cytokine interleukin-2 (IL-2). In order to test directly that an approximately twofold reduction in IL-2 underpins the Idd3-linked destabilization of immune homeostasis, we show that engineered haplodeficiency of Il2 gene expression not only reduces T cell IL-2 production by twofold but also mimics the autoimmune dysregulatory effects of the naturally occurring susceptibility alleles of Il2. Reduced IL-2 production achieved by either genetic mechanism correlates with reduced function of CD4+ CD25+ regulatory T cells, which are critical for maintaining immune homeostasis.


Nature | 2002

A physical map of the mouse genome

Simon G. Gregory; Mandeep Sekhon; Jacqueline E. Schein; Shaying Zhao; Kazutoyo Osoegawa; Carol Scott; Richard S. Evans; Paul W. Burridge; Tony Cox; Christopher A. Fox; Richard D. Hutton; Ian R. Mullenger; Kimbly J. Phillips; James Smith; Jim Stalker; Glen Threadgold; Ewan Birney; Kristine M. Wylie; Asif T. Chinwalla; John W. Wallis; LaDeana W. Hillier; Jason Carter; Tony Gaige; Sara Jaeger; Colin Kremitzki; Dan Layman; Jason Maas; Rebecca McGrane; Kelly Mead; Rebecca Walker

A physical map of a genome is an essential guide for navigation, allowing the location of any gene or other landmark in the chromosomal DNA. We have constructed a physical map of the mouse genome that contains 296 contigs of overlapping bacterial clones and 16,992 unique markers. The mouse contigs were aligned to the human genome sequence on the basis of 51,486 homology matches, thus enabling use of the conserved synteny (correspondence between chromosome blocks) of the two genomes to accelerate construction of the mouse map. The map provides a framework for assembly of whole-genome shotgun sequence data, and a tile path of clones for generation of the reference sequence. Definition of the human–mouse alignment at this level of resolution enables identification of a mouse clone that corresponds to almost any position in the human genome. The human sequence may be used to facilitate construction of other mammalian genome maps using the same strategy.


Nature | 2011

Chromosomal rearrangements maintain a polymorphic supergene controlling butterfly mimicry

Mathieu Joron; Lise Frézal; Robert T. Jones; Nicola Chamberlain; Siu Fai Lee; Christoph R. Haag; Annabel Whibley; Michel Becuwe; Simon W. Baxter; Laura Ferguson; Paul Wilkinson; Camilo Salazar; Claire Davidson; Richard Clark; Michael A. Quail; Helen Beasley; Rebecca Glithero; Christine Lloyd; Sarah Sims; Matthew C. Jones; Jane Rogers; Chris D. Jiggins; Richard H. ffrench-Constant

Supergenes are tight clusters of loci that facilitate the co-segregation of adaptive variation, providing integrated control of complex adaptive phenotypes. Polymorphic supergenes, in which specific combinations of traits are maintained within a single population, were first described for ‘pin’ and ‘thrum’ floral types in Primula and Fagopyrum, but classic examples are also found in insect mimicry and snail morphology. Understanding the evolutionary mechanisms that generate these co-adapted gene sets, as well as the mode of limiting the production of unfit recombinant forms, remains a substantial challenge. Here we show that individual wing-pattern morphs in the polymorphic mimetic butterfly Heliconius numata are associated with different genomic rearrangements at the supergene locus P. These rearrangements tighten the genetic linkage between at least two colour-pattern loci that are known to recombine in closely related species, with complete suppression of recombination being observed in experimental crosses across a 400-kilobase interval containing at least 18 genes. In natural populations, notable patterns of linkage disequilibrium (LD) are observed across the entire P region. The resulting divergent haplotype clades and inversion breakpoints are found in complete association with wing-pattern morphs. Our results indicate that allelic combinations at known wing-patterning loci have become locked together in a polymorphic rearrangement at the P locus, forming a supergene that acts as a simple switch between complex adaptive phenotypes found in sympatry. These findings highlight how genomic rearrangements can have a central role in the coexistence of adaptive phenotypes involving several genes acting in concert, by locally limiting recombination and gene flow.


PLOS Biology | 2006

A Conserved Supergene Locus Controls Colour Pattern Diversity in Heliconius Butterflies

Mathieu Joron; Riccardo Papa; Margarita Beltrán; Nicola Chamberlain; Jesús Mavárez; Simon W. Baxter; Moisés Abanto; Eldredge Bermingham; Sean Humphray; Jane Rogers; Helen Beasley; Karen Barlow; Richard H. ffrench-Constant; James Mallet; W. Owen McMillan; Chris D. Jiggins

We studied whether similar developmental genetic mechanisms are involved in both convergent and divergent evolution. Mimetic insects are known for their diversity of patterns as well as their remarkable evolutionary convergence, and they have played an important role in controversies over the respective roles of selection and constraints in adaptive evolution. Here we contrast three butterfly species, all classic examples of Müllerian mimicry. We used a genetic linkage map to show that a locus, Yb, which controls the presence of a yellow band in geographic races of Heliconius melpomene, maps precisely to the same location as the locus Cr, which has very similar phenotypic effects in its co-mimic H. erato. Furthermore, the same genomic location acts as a “supergene”, determining multiple sympatric morphs in a third species, H. numata. H. numata is a species with a very different phenotypic appearance, whose many forms mimic different unrelated ithomiine butterflies in the genus Melinaea. Other unlinked colour pattern loci map to a homologous linkage group in the co-mimics H. melpomene and H. erato, but they are not involved in mimetic polymorphism in H. numata. Hence, a single region from the multilocus colour pattern architecture of H. melpomene and H. erato appears to have gained control of the entire wing-pattern variability in H. numata, presumably as a result of selection for mimetic “supergene” polymorphism without intermediates. Although we cannot at this stage confirm the homology of the loci segregating in the three species, our results imply that a conserved yet relatively unconstrained mechanism underlying pattern switching can affect mimicry in radically different ways. We also show that adaptive evolution, both convergent and diversifying, can occur by the repeated involvement of the same genomic regions.

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Allan Bradley

Wellcome Trust Sanger Institute

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Carol Scott

Wellcome Trust Sanger Institute

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Roger Horton

Wellcome Trust Sanger Institute

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Tony Cox

Wellcome Trust Sanger Institute

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Ian Dunham

European Bioinformatics Institute

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John A. Todd

Wellcome Trust Centre for Human Genetics

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Sarah Sims

Wellcome Trust Sanger Institute

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Stephan Beck

University College London

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