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Featured researches published by David W. Burt.


Nature | 2010

The genome of a songbird.

Wesley C. Warren; David F. Clayton; Hans Ellegren; Arthur P. Arnold; LaDeana W. Hillier; Axel Künstner; Steve Searle; Simon White; Albert J. Vilella; Susan Fairley; Andreas Heger; Lesheng Kong; Chris P. Ponting; Erich D. Jarvis; Claudio V. Mello; Patrick Minx; Peter V. Lovell; Tarciso Velho; Margaret Ferris; Christopher N. Balakrishnan; Saurabh Sinha; Charles Blatti; Sarah E. London; Yun Li; Ya-Chi Lin; Julia M. George; Jonathan V. Sweedler; Bruce R. Southey; Preethi H. Gunaratne; M. G. Watson

The zebra finch is an important model organism in several fields with unique relevance to human neuroscience. Like other songbirds, the zebra finch communicates through learned vocalizations, an ability otherwise documented only in humans and a few other animals and lacking in the chicken—the only bird with a sequenced genome until now. Here we present a structural, functional and comparative analysis of the genome sequence of the zebra finch (Taeniopygia guttata), which is a songbird belonging to the large avian order Passeriformes. We find that the overall structures of the genomes are similar in zebra finch and chicken, but they differ in many intrachromosomal rearrangements, lineage-specific gene family expansions, the number of long-terminal-repeat-based retrotransposons, and mechanisms of sex chromosome dosage compensation. We show that song behaviour engages gene regulatory networks in the zebra finch brain, altering the expression of long non-coding RNAs, microRNAs, transcription factors and their targets. We also show evidence for rapid molecular evolution in the songbird lineage of genes that are regulated during song experience. These results indicate an active involvement of the genome in neural processes underlying vocal communication and identify potential genetic substrates for the evolution and regulation of this behaviour.


Science | 2014

Comparative genomics reveals insights into avian genome evolution and adaptation

Guojie Zhang; Cai Li; Qiye Li; Bo Li; Denis M. Larkin; Chul Hee Lee; Jay F. Storz; Agostinho Antunes; Matthew J. Greenwold; Robert W. Meredith; Qi Zhou; Luohao Xu; Zongji Wang; Pei Zhang; Haofu Hu; Wei Yang; Jiang Hu; Jin Xiao; Zhikai Yang; Yang Liu; Qiaolin Xie; Hao Yu; Jinmin Lian; Ping Wen; Fang Zhang; Hui Li; Yongli Zeng; Zijun Xiong; Shiping Liu; Zhiyong Huang

Birds are the most species-rich class of tetrapod vertebrates and have wide relevance across many research fields. We explored bird macroevolution using full genomes from 48 avian species representing all major extant clades. The avian genome is principally characterized by its constrained size, which predominantly arose because of lineage-specific erosion of repetitive elements, large segmental deletions, and gene loss. Avian genomes furthermore show a remarkably high degree of evolutionary stasis at the levels of nucleotide sequence, gene synteny, and chromosomal structure. Despite this pattern of conservation, we detected many non-neutral evolutionary changes in protein-coding genes and noncoding regions. These analyses reveal that pan-avian genomic diversity covaries with adaptations to different lifestyles and convergent evolution of traits.


Current Biology | 2002

A Comprehensive Collection of Chicken cDNAs

Paul E. Boardman; Juan Jose Sanz-Ezquerro; Ian M. Overton; David W. Burt; Elizabeth Bosch; Willy T. Fong; Cheryll Tickle; William Brown; Stuart A. Wilson; Simon J. Hubbard

Birds have played a central role in many biological disciplines, particularly ecology, evolution, and behavior. The chicken, as a model vertebrate, also represents an important experimental system for developmental biologists, immunologists, cell biologists, and geneticists. However, genomic resources for the chicken have lagged behind those for other model organisms, with only 1845 nonredundant full-length chicken cDNA sequences currently deposited in the EMBL databank. We describe a large-scale expressed-sequence-tag (EST) project aimed at gene discovery in chickens (http://www.chick.umist.ac.uk). In total, 339,314 ESTs have been sequenced from 64 cDNA libraries generated from 21 different embryonic and adult tissues. These were clustered and assembled into 85,486 contiguous sequences (contigs). We find that a minimum of 38% of the contigs have orthologs in other organisms and define an upper limit of 13,000 new chicken genes. The remaining contigs may include novel avian specific or rapidly evolving genes. Comparison of the contigs with known chicken genes and orthologs indicates that 30% include cDNAs that contain the start codon and 20% of the contigs represent full-length cDNA sequences. Using this dataset, we estimate that chickens have approximately 35,000 genes in total, suggesting that this number may be a characteristic feature of vertebrates.


PLOS Biology | 2010

Multi-platform next-generation sequencing of the domestic Turkey (Meleagris gallopavo): Genome assembly and analysis

Rami A. Dalloul; Julie A Long; Aleksey V. Zimin; Luqman Aslam; Kathryn Beal; Le Ann Blomberg; Pascal Bouffard; David W. Burt; Oswald Crasta; R.P.M.A. Crooijmans; Kristal L. Cooper; Roger A. Coulombe; Supriyo De; Mary E. Delany; Jerry B. Dodgson; Jennifer J Dong; Clive Evans; Karin M. Frederickson; Paul Flicek; Liliana Florea; Otto Folkerts; M.A.M. Groenen; Tim Harkins; Javier Herrero; Steve Hoffmann; Hendrik-Jan Megens; Andrew Jiang; Pieter J. de Jong; Peter K. Kaiser; Heebal Kim

The combined application of next-generation sequencing platforms has provided an economical approach to unlocking the potential of the turkey genome.


Nature | 1999

The dynamics of chromosome evolution in birds and mammals.

David W. Burt; Charlotte Bruley; Ian C. Dunn; Cheryl Jones; Anne Ramage; Andy Law; David Morrice; Ian R. Paton; Jacqueline Smith; D Windsor; Alexei Sazanov; R. Fries; David Waddington

Comparative mapping, which compares the location of homologous genes in different species, is a powerful tool for studying genome evolution. Comparative maps suggest that rates of chromosomal change in mammals can vary from one to ten rearrangements per million years. On the basis of these rates we would expect 84 to 600 conserved segments in a chicken comparison with human or mouse. Here we build comparative maps between these species and estimate that numbers of conserved segments are in the lower part of this range. We conclude that the organization of the human genome is closer to that of the chicken than the mouse and by adding comparative mapping results from a range of vertebrates, we identify three possible phases of chromosome evolution. The relative stability of genomes such as those of the chicken and human will enable the reconstruction of maps of ancestral vertebrates.


BMC Genomics | 2008

Evolution of the chicken Toll-like receptor gene family: A story of gene gain and gene loss

Nicholas D Temperley; Sofia Berlin; Ian R. Paton; Darren K. Griffin; David W. Burt

BackgroundToll-like receptors (TLRs) perform a vital role in disease resistance through their recognition of pathogen associated molecular patterns (PAMPs). Recent advances in genomics allow comparison of TLR genes within and between many species. This study takes advantage of the recently sequenced chicken genome to determine the complete chicken TLR repertoire and place it in context of vertebrate genomic evolution.ResultsThe chicken TLR repertoire consists of ten genes. Phylogenetic analyses show that six of these genes have orthologs in mammals and fish, while one is only shared by fish and three appear to be unique to birds. Furthermore the phylogeny shows that TLR1-like genes arose independently in fish, birds and mammals from an ancestral gene also shared by TLR6 and TLR10. All other TLRs were already present prior to the divergence of major vertebrate lineages 550 Mya (million years ago) and have since been lost in certain lineages. Phylogenetic analysis shows the absence of TLRs 8 and 9 in chicken to be the result of gene loss. The notable exception to the tendency of gene loss in TLR evolution is found in chicken TLRs 1 and 2, each of which underwent gene duplication about 147 and 65 Mya, respectively.ConclusionComparative phylogenetic analysis of vertebrate TLR genes provides insight into their patterns and processes of gene evolution, with examples of both gene gain and gene loss. In addition, these comparisons clarify the nomenclature of TLR genes in vertebrates.


Nature Genetics | 2013

The duck genome and transcriptome provide insight into an avian influenza virus reservoir species

Yinhua Huang; Yingrui Li; David W. Burt; Hualan Chen; Yong Zhang; Wubin Qian; Heebal Kim; Shangquan Gan; Yiqiang Zhao; Jianwen Li; Kang Yi; Huapeng Feng; Pengyang Zhu; Bo Li; Qiuyue Liu; Suan Fairley; Katharine E. Magor; Zhenlin Du; Xiaoxiang Hu; Laurie Goodman; Hakim Tafer; Alain Vignal; Taeheon Lee; Kyu-Won Kim; Zheya Sheng; Yang An; Steve Searle; Javier Herrero; M.A.M. Groenen; Richard P.M.A. Crooijmans

The duck (Anas platyrhynchos) is one of the principal natural hosts of influenza A viruses. We present the duck genome sequence and perform deep transcriptome analyses to investigate immune-related genes. Our data indicate that the duck possesses a contractive immune gene repertoire, as in chicken and zebra finch, and this repertoire has been shaped through lineage-specific duplications. We identify genes that are responsive to influenza A viruses using the lung transcriptomes of control ducks and ones that were infected with either a highly pathogenic (A/duck/Hubei/49/05) or a weakly pathogenic (A/goose/Hubei/65/05) H5N1 virus. Further, we show how the ducks defense mechanisms against influenza infection have been optimized through the diversification of its β-defensin and butyrophilin-like repertoires. These analyses, in combination with the genomic and transcriptomic data, provide a resource for characterizing the interaction between host and influenza viruses.


BMC Genomics | 2013

Development of a high density 600K SNP genotyping array for chicken

Andreas Kranis; Almas Gheyas; Clarissa Boschiero; Frances Turner; Le Yu; Sarah Smith; Richard Talbot; Ali Pirani; Fiona Brew; Peter K. Kaiser; Paul Hocking; Mark Fife; Nigel Salmon; Janet E. Fulton; Tim M. Strom; G. Haberer; Steffen Weigend; Rudolf Preisinger; Mahmood Gholami; Saber Qanbari; Henner Simianer; Kellie Watson; John Woolliams; David W. Burt

BackgroundHigh density (HD) SNP genotyping arrays are an important tool for genetic analyses of animals and plants. Although the chicken is one of the most important farm animals, no HD array is yet available for high resolution genetic analysis of this species.ResultsWe report here the development of a 600 K Affymetrix® Axiom® HD genotyping array designed using SNPs segregating in a wide variety of chicken populations. In order to generate a large catalogue of segregating SNPs, we re-sequenced 243 chickens from 24 chicken lines derived from diverse sources (experimental, commercial broiler and layer lines) by pooling 10–15 samples within each line. About 139 million (M) putative SNPs were detected by mapping sequence reads to the new reference genome (Gallus_gallus_4.0) of which ~78 M appeared to be segregating in different lines. Using criteria such as high SNP-quality score, acceptable design scores predicting high conversion performance in the final array and uniformity of distribution across the genome, we selected ~1.8 M SNPs for validation through genotyping on an independent set of samples (n = 282). About 64% of the SNPs were polymorphic with high call rates (>98%), good cluster separation and stable Mendelian inheritance. Polymorphic SNPs were further analysed for their population characteristics and genomic effects. SNPs with extreme breach of Hardy-Weinberg equilibrium (P < 0.00001) were excluded from the panel. The final array, designed on the basis of these analyses, consists of 580,954 SNPs and includes 21,534 coding variants. SNPs were selected to achieve an essentially uniform distribution based on genetic map distance for both broiler and layer lines. Due to a lower extent of LD in broilers compared to layers, as reported in previous studies, the ratio of broiler and layer SNPs in the array was kept as 3:2. The final panel was shown to genotype a wide range of samples including broilers and layers with over 100 K to 450 K informative SNPs per line. A principal component analysis was used to demonstrate the ability of the array to detect the expected population structure which is an important pre-investigation step for many genome-wide analyses.ConclusionsThis Affymetrix® Axiom® array is the first SNP genotyping array for chicken that has been made commercially available to the public as a product. This array is expected to find widespread usage both in research and commercial application such as in genomic selection, genome-wide association studies, selection signature analyses, fine mapping of QTLs and detection of copy number variants.


Journal of Leukocyte Biology | 2010

Pivotal Advance: Avian colony-stimulating factor 1 (CSF-1), interleukin-34 (IL-34), and CSF-1 receptor genes and gene products

Valerie Garceau; Jacqueline Smith; Ian R. Paton; Megan Davey; Mario A. Fares; David P. Sester; David W. Burt; David A. Hume

Macrophages are involved in many aspects of development, host defense, pathology, and homeostasis. Their normal differentiation, proliferation, and survival are controlled by CSF‐1 via the activation of the CSF1R. A recently discovered cytokine, IL‐34, was shown to bind the same receptor in humans. Chicken is a widely used model organism in developmental biology, but the factors that control avian myelopoiesis have not been identified previously. The CSF‐1, IL‐34, and CSF1R genes in chicken and zebra finch were identified from respective genomic/cDNA sequence resources. Comparative analysis of the avian CSF1R loci revealed likely orthologs of mammalian macrophage‐specific promoters and enhancers, and the CSF1R gene is expressed in the developing chick embryo in a pattern consistent with macrophage‐specific expression. Chicken CSF‐1 and IL‐34 were expressed in HEK293 cells and shown to elicit macrophage growth from chicken BM cells in culture. Comparative sequence and co‐evolution analysis across all vertebrates suggests that the two ligands interact with distinct regions of the CSF1R. These studies demonstrate that there are two separate ligands for a functional CSF1R across all vertebrates.


Genetics | 2004

Molecular Cytogenetic Definition of the Chicken Genome: The First Complete Avian Karyotype

Julio S. Masabanda; David W. Burt; Patricia C. M. O'Brien; Alain Vignal; Valerie Fillon; Philippa S. Walsh; Helen Cox; Helen G. Tempest; Jacqueline Smith; Felix A. Habermann; Yoichi Matsuda; Malcolm A. Ferguson-Smith; Richard P.M.A. Crooijmans; M.A.M. Groenen; Darren K. Griffin

Chicken genome mapping is important for a range of scientific disciplines. The ability to distinguish chromosomes of the chicken and other birds is thus a priority. Here we describe the molecular cytogenetic characterization of each chicken chromosome using chromosome painting and mapping of individual clones by FISH. Where possible, we have assigned the chromosomes to known linkage groups. We propose, on the basis of size, that the NOR chromosome is approximately the size of chromosome 22; however, we suggest that its original assignment of 16 should be retained. We also suggest a definitive chromosome classification system and propose that the probes developed here will find wide utility in the fields of developmental biology, DT40 studies, agriculture, vertebrate genome organization, and comparative mapping of avian species.

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Paul Hocking

University of Edinburgh

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Victor J. Dzau

New York Academy of Medicine

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Ian C. Dunn

University of Edinburgh

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Norifumi Nakamura

Brigham and Women's Hospital

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