Paul J. Kersey
European Bioinformatics Institute
Network
Latest external collaboration on country level. Dive into details by clicking on the dots.
Publication
Featured researches published by Paul J. Kersey.
Nature | 2012
Rachel Brenchley; Manuel Spannagl; Matthias Pfeifer; Gary L. A. Barker; Rosalinda D’Amore; Alexandra M. Allen; Neil McKenzie; Melissa Kramer; Arnaud Kerhornou; Dan Bolser; Suzanne Kay; Darren Waite; Martin Trick; Ian Bancroft; Yong Gu; Naxin Huo; Ming-Cheng Luo; Sunish K. Sehgal; Bikram S. Gill; Sharyar Kianian; Olin D. Anderson; Paul J. Kersey; Jan Dvorak; W. Richard McCombie; Anthony Hall; Klaus F. X. Mayer; Keith J. Edwards; Michael W. Bevan; Neil Hall
Bread wheat (Triticum aestivum) is a globally important crop, accounting for 20 per cent of the calories consumed by humans. Major efforts are underway worldwide to increase wheat production by extending genetic diversity and analysing key traits, and genomic resources can accelerate progress. But so far the very large size and polyploid complexity of the bread wheat genome have been substantial barriers to genome analysis. Here we report the sequencing of its large, 17-gigabase-pair, hexaploid genome using 454 pyrosequencing, and comparison of this with the sequences of diploid ancestral and progenitor genomes. We identified between 94,000 and 96,000 genes, and assigned two-thirds to the three component genomes (A, B and D) of hexaploid wheat. High-resolution synteny maps identified many small disruptions to conserved gene order. We show that the hexaploid genome is highly dynamic, with significant loss of gene family members on polyploidization and domestication, and an abundance of gene fragments. Several classes of genes involved in energy harvesting, metabolism and growth are among expanded gene families that could be associated with crop productivity. Our analyses, coupled with the identification of extensive genetic variation, provide a resource for accelerating gene discovery and improving this major crop.
Nature | 2012
Kanchon K. Dasmahapatra; James R. Walters; Adriana D. Briscoe; John W. Davey; Annabel Whibley; Nicola J. Nadeau; Aleksey V. Zimin; Daniel S.T. Hughes; Laura Ferguson; Simon H. Martin; Camilo Salazar; James J. Lewis; Sebastian Adler; Seung-Joon Ahn; Dean A. Baker; Simon W. Baxter; Nicola Chamberlain; Ritika Chauhan; Brian A. Counterman; Tamas Dalmay; Lawrence E. Gilbert; Karl H.J. Gordon; David G. Heckel; Heather M. Hines; Katharina Hoff; Peter W. H. Holland; Emmanuelle Jacquin-Joly; Francis M. Jiggins; Robert T. Jones; Durrell D. Kapan
The evolutionary importance of hybridization and introgression has long been debated. Hybrids are usually rare and unfit, but even infrequent hybridization can aid adaptation by transferring beneficial traits between species. Here we use genomic tools to investigate introgression in Heliconius, a rapidly radiating genus of neotropical butterflies widely used in studies of ecology, behaviour, mimicry and speciation. We sequenced the genome of Heliconius melpomene and compared it with other taxa to investigate chromosomal evolution in Lepidoptera and gene flow among multiple Heliconius species and races. Among 12,669 predicted genes, biologically important expansions of families of chemosensory and Hox genes are particularly noteworthy. Chromosomal organization has remained broadly conserved since the Cretaceous period, when butterflies split from the Bombyx (silkmoth) lineage. Using genomic resequencing, we show hybrid exchange of genes between three co-mimics, Heliconius melpomene, Heliconius timareta and Heliconius elevatus, especially at two genomic regions that control mimicry pattern. We infer that closely related Heliconius species exchange protective colour-pattern genes promiscuously, implying that hybridization has an important role in adaptive radiation.
Nature | 2011
Xiangchao Gan; Oliver Stegle; Jonas Behr; Joshua G. Steffen; Philipp Drewe; Katie L. Hildebrand; Rune Lyngsoe; Sebastian J. Schultheiss; Edward J. Osborne; Vipin T. Sreedharan; André Kahles; Regina Bohnert; Géraldine Jean; Paul S. Derwent; Paul J. Kersey; Eric J. Belfield; Nicholas P. Harberd; Eric Kemen; Christopher Toomajian; Paula X. Kover; Richard M. Clark; Gunnar Rätsch; Richard Mott
Genetic differences between Arabidopsis thaliana accessions underlie the plant’s extensive phenotypic variation, and until now these have been interpreted largely in the context of the annotated reference accession Col-0. Here we report the sequencing, assembly and annotation of the genomes of 18 natural A. thaliana accessions, and their transcriptomes. When assessed on the basis of the reference annotation, one-third of protein-coding genes are predicted to be disrupted in at least one accession. However, re-annotation of each genome revealed that alternative gene models often restore coding potential. Gene expression in seedlings differed for nearly half of expressed genes and was frequently associated with cis variants within 5 kilobases, as were intron retention alternative splicing events. Sequence and expression variation is most pronounced in genes that respond to the biotic environment. Our data further promote evolutionary and functional studies in A. thaliana, especially the MAGIC genetic reference population descended from these accessions.
Genome Research | 2011
Dent Earl; Keith Bradnam; John St. John; Aaron E. Darling; Dawei Lin; Joseph Fass; Hung On Ken Yu; Vince Buffalo; Daniel R. Zerbino; Mark Diekhans; Ngan Nguyen; Pramila Ariyaratne; Wing-Kin Sung; Zemin Ning; Matthias Haimel; Jared T. Simpson; Nuno A. Fonseca; Inanc Birol; T. Roderick Docking; Isaac Ho; Daniel S. Rokhsar; Rayan Chikhi; Dominique Lavenier; Guillaume Chapuis; Delphine Naquin; Nicolas Maillet; Michael C. Schatz; David R. Kelley; Adam M. Phillippy; Sergey Koren
Low-cost short read sequencing technology has revolutionized genomics, though it is only just becoming practical for the high-quality de novo assembly of a novel large genome. We describe the Assemblathon 1 competition, which aimed to comprehensively assess the state of the art in de novo assembly methods when applied to current sequencing technologies. In a collaborative effort, teams were asked to assemble a simulated Illumina HiSeq data set of an unknown, simulated diploid genome. A total of 41 assemblies from 17 different groups were received. Novel haplotype aware assessments of coverage, contiguity, structure, base calling, and copy number were made. We establish that within this benchmark: (1) It is possible to assemble the genome to a high level of coverage and accuracy, and that (2) large differences exist between the assemblies, suggesting room for further improvements in current methods. The simulated benchmark, including the correct answer, the assemblies, and the code that was used to evaluate the assemblies is now public and freely available from http://www.assemblathon.org/.
GigaScience | 2013
Keith Bradnam; Joseph Fass; Anton Alexandrov; Paul Baranay; Michael Bechner; Inanc Birol; Sébastien Boisvert; Jarrod Chapman; Guillaume Chapuis; Rayan Chikhi; Hamidreza Chitsaz; Wen Chi Chou; Jacques Corbeil; Cristian Del Fabbro; Roderick R. Docking; Richard Durbin; Dent Earl; Scott J. Emrich; Pavel Fedotov; Nuno A. Fonseca; Ganeshkumar Ganapathy; Richard A. Gibbs; Sante Gnerre; Élénie Godzaridis; Steve Goldstein; Matthias Haimel; Giles Hall; David Haussler; Joseph Hiatt; Isaac Ho
BackgroundThe process of generating raw genome sequence data continues to become cheaper, faster, and more accurate. However, assembly of such data into high-quality, finished genome sequences remains challenging. Many genome assembly tools are available, but they differ greatly in terms of their performance (speed, scalability, hardware requirements, acceptance of newer read technologies) and in their final output (composition of assembled sequence). More importantly, it remains largely unclear how to best assess the quality of assembled genome sequences. The Assemblathon competitions are intended to assess current state-of-the-art methods in genome assembly.ResultsIn Assemblathon 2, we provided a variety of sequence data to be assembled for three vertebrate species (a bird, a fish, and snake). This resulted in a total of 43 submitted assemblies from 21 participating teams. We evaluated these assemblies using a combination of optical map data, Fosmid sequences, and several statistical methods. From over 100 different metrics, we chose ten key measures by which to assess the overall quality of the assemblies.ConclusionsMany current genome assemblers produced useful assemblies, containing a significant representation of their genes and overall genome structure. However, the high degree of variability between the entries suggests that there is still much room for improvement in the field of genome assembly and that approaches which work well in assembling the genome of one species may not necessarily work well for another.
Nucleic Acids Research | 2016
Paul J. Kersey; James E. Allen; Irina M. Armean; Sanjay Boddu; Bruce J. Bolt; Denise R. Carvalho-Silva; Mikkel Christensen; Paul Davis; Lee J. Falin; Christoph Grabmueller; Jay Humphrey; Arnaud Kerhornou; Julia Khobova; Naveen K. Aranganathan; Nicholas Langridge; Ernesto Lowy; Mark D. McDowall; Uma Maheswari; Michael Nuhn; Chuang Kee Ong; Bert Overduin; Michael Paulini; Helder Pedro; Emily Perry; Giulietta Spudich; Electra Tapanari; Brandon Walts; Gareth Williams; Marcela Tello–Ruiz; Joshua C. Stein
Ensembl Genomes (http://www.ensemblgenomes.org) is an integrating resource for genome-scale data from non-vertebrate species, complementing the resources for vertebrate genomics developed in the context of the Ensembl project (http://www.ensembl.org). Together, the two resources provide a consistent set of programmatic and interactive interfaces to a rich range of data including reference sequence, gene models, transcriptional data, genetic variation and comparative analysis. This paper provides an update to the previous publications about the resource, with a focus on recent developments. These include the development of new analyses and views to represent polyploid genomes (of which bread wheat is the primary exemplar); and the continued up-scaling of the resource, which now includes over 23 000 bacterial genomes, 400 fungal genomes and 100 protist genomes, in addition to 55 genomes from invertebrate metazoa and 39 genomes from plants. This dramatic increase in the number of included genomes is one part of a broader effort to automate the integration of archival data (genome sequence, but also associated RNA sequence data and variant calls) within the context of reference genomes and make it available through the Ensembl user interfaces.
Nucleic Acids Research | 2012
Valerie Wood; Midori A. Harris; Mark D. McDowall; Kim Rutherford; Brendan W. Vaughan; Daniel M. Staines; Martin Aslett; Antonia Lock; Jürg Bähler; Paul J. Kersey; Stephen G. Oliver
PomBase (www.pombase.org) is a new model organism database established to provide access to comprehensive, accurate, and up-to-date molecular data and biological information for the fission yeast Schizosaccharomyces pombe to effectively support both exploratory and hypothesis-driven research. PomBase encompasses annotation of genomic sequence and features, comprehensive manual literature curation and genome-wide data sets, and supports sophisticated user-defined queries. The implementation of PomBase integrates a Chado relational database that houses manually curated data with Ensembl software that supports sequence-based annotation and web access. PomBase will provide user-friendly tools to promote curation by experts within the fission yeast community. This will make a key contribution to shaping its content and ensuring its comprehensiveness and long-term relevance.
Nucleic Acids Research | 2012
Karen Yook; Todd W. Harris; Tamberlyn Bieri; Abigail Cabunoc; Juancarlos Chan; Wen J. Chen; Paul H. Davis; Norie De La Cruz; Adrian Duong; Ruihua Fang; Uma Ganesan; Christian A. Grove; Kevin L. Howe; Snehalata Kadam; Ranjana Kishore; Raymond Y. N. Lee; Yuling Li; Hans-Michael Müller; Cecilia Nakamura; Bill Nash; Philip Ozersky; Michael Paulini; Daniela Raciti; Arun Rangarajan; Gary Schindelman; Xiaoqi Shi; Erich M. Schwarz; Mary Ann Tuli; Kimberly Van Auken; Daniel Wang
Since its release in 2000, WormBase (http://www.wormbase.org) has grown from a small resource focusing on a single species and serving a dedicated research community, to one now spanning 15 species essential to the broader biomedical and agricultural research fields. To enhance the rate of curation, we have automated the identification of key data in the scientific literature and use similar methodology for data extraction. To ease access to the data, we are collaborating with journals to link entities in research publications to their report pages at WormBase. To facilitate discovery, we have added new views of the data, integrated large-scale datasets and expanded descriptions of models for human disease. Finally, we have introduced a dramatic overhaul of the WormBase website for public beta testing. Designed to balance complexity and usability, the new site is species-agnostic, highly customizable, and interactive. Casual users and developers alike will be able to leverage the public RESTful application programming interface (API) to generate custom data mining solutions and extensions to the site. We report on the growth of our database and on our work in keeping pace with the growing demand for data, efforts to anticipate the requirements of users and new collaborations with the larger science community.
Nature | 2017
Martin Mascher; Heidrun Gundlach; Axel Himmelbach; Sebastian Beier; Sven O. Twardziok; Thomas Wicker; Volodymyr Radchuk; Christoph Dockter; Peter E. Hedley; Joanne Russell; Micha Bayer; Luke Ramsay; Hui Liu; Georg Haberer; Xiao-Qi Zhang; Qisen Zhang; Roberto A. Barrero; Lin Li; Marco Groth; Marius Felder; Alex Hastie; Hana Šimková; Helena Staňková; Jan Vrána; Saki Chan; María Muñoz-Amatriaín; Rachid Ounit; Steve Wanamaker; Daniel M. Bolser; Christian Colmsee
Cereal grasses of the Triticeae tribe have been the major food source in temperate regions since the dawn of agriculture. Their large genomes are characterized by a high content of repetitive elements and large pericentromeric regions that are virtually devoid of meiotic recombination. Here we present a high-quality reference genome assembly for barley (Hordeum vulgare L.). We use chromosome conformation capture mapping to derive the linear order of sequences across the pericentromeric space and to investigate the spatial organization of chromatin in the nucleus at megabase resolution. The composition of genes and repetitive elements differs between distal and proximal regions. Gene family analyses reveal lineage-specific duplications of genes involved in the transport of nutrients to developing seeds and the mobilization of carbohydrates in grains. We demonstrate the importance of the barley reference sequence for breeding by inspecting the genomic partitioning of sequence variation in modern elite germplasm, highlighting regions vulnerable to genetic erosion.
Nucleic Acids Research | 2014
Paul J. Kersey; James E. Allen; Mikkel Christensen; Paul Davis; Lee J. Falin; Christoph Grabmueller; Daniel Seth Toney Hughes; Jay Humphrey; Arnaud Kerhornou; Julia Khobova; Nicholas Langridge; Mark D. McDowall; Uma Maheswari; Gareth Maslen; Michael Nuhn; Chuang Kee Ong; Michael Paulini; Helder Pedro; Iliana Toneva; Mary Ann Tuli; Brandon Walts; Gareth Williams; Derek Wilson; Ken Youens-Clark; Marcela K. Monaco; Joshua C. Stein; Xuehong Wei; Doreen Ware; Daniel M. Bolser; Kevin L. Howe
Ensembl Genomes (http://www.ensemblgenomes.org) is an integrating resource for genome-scale data from non-vertebrate species. The project exploits and extends technologies for genome annotation, analysis and dissemination, developed in the context of the vertebrate-focused Ensembl project, and provides a complementary set of resources for non-vertebrate species through a consistent set of programmatic and interactive interfaces. These provide access to data including reference sequence, gene models, transcriptional data, polymorphisms and comparative analysis. This article provides an update to the previous publications about the resource, with a focus on recent developments. These include the addition of important new genomes (and related data sets) including crop plants, vectors of human disease and eukaryotic pathogens. In addition, the resource has scaled up its representation of bacterial genomes, and now includes the genomes of over 9000 bacteria. Specific extensions to the web and programmatic interfaces have been developed to support users in navigating these large data sets. Looking forward, analytic tools to allow targeted selection of data for visualization and download are likely to become increasingly important in future as the number of available genomes increases within all domains of life, and some of the challenges faced in representing bacterial data are likely to become commonplace for eukaryotes in future.