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David W Burt

Publications and source records attributed to David W Burt.

At least 19 recordsLinked to original sources

Development of a chicken 5 K microarray targeted towards immune function.

BACKGROUND: The development of microarray resources for the chicken is an important step in being able to profile gene expression changes occurring in birds in response to different challenges and stimuli. The creation of an immune-related array is highly valuable in determining the host immune response in relation to infection with a wide variety of bacterial and viral diseases. RESULTS: Here we report the development of chicken immune-related cDNA libraries and the subsequent construction of a microarray containing 5190 elements (in duplicate). Clones on the array originate from tissues known to contain high levels of cells related to the immune system, namely Bursa, Peyers patch, thymus and spleen. Represented on the array are genes that are known to cluster with existing chicken ESTs as well as genes that are unique to our libraries. Some of these genes have no known homologies and represent novel genes in the chicken collection. A series of reference genes (ie. genes of known immune function) are also present on the array. Functional annotation data is also provided for as many of the genes on the array as is possible. CONCLUSION: Six new chicken immune cDNA libraries have been created and nearly 10,000 sequences submitted to GenBank [GenBank: AM063043-AM071350; AM071520-AM072286; AM075249-AM075607]. A 5 K immune-related array has been developed from these libraries. Individual clones and arrays are available from the ARK-Genomics resource centre.

Animals↗

Identification of a non-mammalian leptin-like gene: characterization and expression in the tiger salamander (Ambystoma tigrinum).

Leptin is well established as a multifunctional cytokine in mammals. However, little is known about the evolution of the leptin gene in other vertebrates. A recently published set of ESTs from the tiger salamander (Ambystoma tigrinum) contains a sequence sharing 56% nucleotide sequence identity with the human leptin cDNA. To confirm that the EST is naturally expressed in the salamander, a 409bp cDNA was amplified by RT-PCR of salamander testis and stomach mRNAs. The coding sequence of the cDNA is predicted to encode 169 amino acids, and the mature peptide to consist of 146 residues, as in mammals. Although the overall amino acid identity with mammalian leptins is only 29%, the salamander and mammalian peptides share common structural features. An intron was identified between coding exons providing evidence that the sequence is present in the salamander genome. Phylogenetic analysis showed a rate of molecular divergence consistent with the accepted view of vertebrate evolution. The pattern of tissue expression of the leptin-like cDNA differed between metamorphosed adult individuals of different sizes suggesting possible developmental regulation. Expression was most prominent in the skin and testis, but was also detected in tissues in which leptin mRNA is present in mammals, including the fat body, stomach, and muscle. The characterization of a salamander leptin-like gene provides a basis for understanding how the structure and functions of leptin have altered during the evolution of tetrapod vertebrates.

Ambystoma↗

Mutation in the guanine nucleotide-binding protein beta-3 causes retinal degeneration and embryonic mortality in chickens.

PURPOSE: To identify the gene defect that causes blindness and the predisposition to embryonic death in the retinopathy globe enlarged (rge) chicken. METHODS: Linkage analysis, with previously uncharacterized microsatellite markers from chicken chromosome 1, was performed on 138 progeny of an rge/+ and an rge/rge cross, and candidate genes were sequenced. RESULTS: The rge locus was refined and the gene for guanine nucleotide-binding protein beta-3 (GNB3), which encodes a cone transducin beta subunit, was found to have a 3-bp deletion (D153del) that segregated with the rge phenotype. This mutation deleted a highly conserved aspartic acid residue in the third of seven WD domains in GNB3. In silico modeling suggested that this mutation destabilized the protein. Furthermore, a 70% reduction was found in immunoreactivity to anti-GNB3 in the rge-affected retina. CONCLUSIONS: These findings implicate the beta-subunit of cone transducin as the defective protein underlying the rge phenotype. Furthermore, GNB3 is ubiquitously expressed, and the c.825C-->T GNB3 splicing variant (MIM 139130) has been associated with hypertension, obesity, diabetes, low birth weight, coronary heart disease, and stroke in the human population. It therefore seems likely that the defect underlying these human diseases also causes reduced embryonic viability in the rge chicken, making it a powerful model for studying the pathology involved in these associations.

Animals↗

ChickVD: a sequence variation database for the chicken genome.

Working in parallel with the efforts to sequence the chicken (Gallus gallus) genome, the Beijing Genomics Institute led an international team of scientists from China, USA, UK, Sweden, The Netherlands and Germany to map extensive DNA sequence variation throughout the chicken genome by sampling DNA from domestic breeds. Using the Red Jungle Fowl genome sequence as a reference, we identified 3.1 million non-redundant DNA sequence variants. To facilitate the application of our data to avian genetics and to provide a foundation for functional and evolutionary studies, we created the 'Chicken Variation Database' (ChickVD). A graphical MapView shows variants mapped onto the chicken genome in the context of gene annotations and other features, including genetic markers, trait loci, cDNAs, chicken orthologs of human disease genes and raw sequence traces. ChickVD also stores information on quantitative trait loci using data from collaborating institutions and public resources. Our data can be queried by search engine and homology-based BLAST searches. ChickVD is publicly accessible at http://chicken.genomics.org.cn.

Animals↗

Isolation and mapping the chicken zona pellucida genes: an insight into the evolution of orthologous genes in different species.

The avian oocyte is surrounded by a specialized extracellular glycoproteinaceous matrix, the perivitelline membrane, which is equivalent to the zona pellucida (ZP) in mammals and the chorion in teleosts. A number of related ZP genes encode the proteins that make up this matrix. These proteins play an important role in the sperm/egg interaction and may be involved in speciation. The human genome is known to contain ZP1, ZP2, ZP3, and ZPB genes, while a ZPAX gene has also been identified in Xenopus. The rapid evolution of these genes has confused the nomenclature and thus orthologous relationships across species. In order to clarify these homologies, we have identified ZP1, ZP2, ZPC, ZPB, and ZPAX genes in the chicken and mapped them to chromosomes 5, 14, 10, 6, and 3, respectively, establishing conserved synteny with human and mouse. The amino acid sequences of these genes were compared to the orthologous genes in human, mouse, and Xenopus, and have given us an insight into the evolution of these genes in a variety of different species. The presence of the ZPAX gene in the chicken has highlighted a pattern of probable gene loss by deletion in mouse and gene inactivation by deletion, and base substitution in human.

Amino Acid Sequence↗

Chicken genome: current status and future opportunities.

The chicken genome sequence is important for several reasons. First, the chicken shared a common ancestor with mammals approximately 310 million years ago (Mya) at a phylogenetic distance not previously covered by other genome sequences. It therefore fills a gap in our knowledge and understanding of the evolution and conservation of genes, regulatory sequences, genomes, and karyotypes. The chicken is also a major source of protein in the world, with billions of birds used in meat and egg production each year. It is the first livestock species to be sequenced and so leads the way for others. The sequence and the 2.8 million genetic polymorphisms defined in a parallel project are expected to benefit agriculture and cast new light on animal domestication. Also, as the first bird to be sequenced, it is a model for the 9600 avian species thought to exist today. Many of the features of the chicken genome and its biology make it an ideal organism for studies in development and evolution, along with applications in agriculture and medicine.

Animals↗

A genetic variation map for chicken with 2.8 million single-nucleotide polymorphisms.

We describe a genetic variation map for the chicken genome containing 2.8 million single-nucleotide polymorphisms (SNPs). This map is based on a comparison of the sequences of three domestic chicken breeds (a broiler, a layer and a Chinese silkie) with that of their wild ancestor, red jungle fowl. Subsequent experiments indicate that at least 90% of the variant sites are true SNPs, and at least 70% are common SNPs that segregate in many domestic breeds. Mean nucleotide diversity is about five SNPs per kilobase for almost every possible comparison between red jungle fowl and domestic lines, between two different domestic lines, and within domestic lines--in contrast to the notion that domestic animals are highly inbred relative to their wild ancestors. In fact, most of the SNPs originated before domestication, and there is little evidence of selective sweeps for adaptive alleles on length scales greater than 100 kilobases.

Alleles↗

Comparison of the chicken and turkey genomes reveals a higher rate of nucleotide divergence on microchromosomes than macrochromosomes.

A distinctive feature of the avian genome is the large heterogeneity in the size of chromosomes, which are usually classified into a small number of macrochromosomes and numerous microchromosomes. These chromosome classes show characteristic differences in a number of interrelated features that could potentially affect the rate of sequence evolution, such as GC content, gene density, and recombination rate. We studied the effects of these factors by analyzing patterns of nucleotide substitution in two sets of chicken-turkey sequence alignments. First, in a set of 67 orthologous introns, divergence was significantly higher in microchromosomes (chromosomes 11-38; 11.7% divergence) than in both macrochromosomes (chromosomes 1-5; 9.9% divergence; P = 0.016) and intermediate-sized chromosomes (chromosomes 6-10; 9.5% divergence; P = 0.026). At least part of this difference was due to the higher incidence of CpG sites on microchromosomes. Second, using 155 orthologous coding sequences we noted a similar pattern, in which synonymous substitution rates on microchromosomes (13.1%) were significantly higher than were rates on macrochromosomes (10.3%; P = 0.024). Broadly assuming neutrality of introns and synonymous sites, or constraints on such sequences do not differ between chromosomal classes, these observations imply that microchromosomal genes are exposed to more germ line mutations than those on other chromosomes. We also find that dN/dS ratios for genes located on microchromosomes (average, 0.094) are significantly lower than those of macrochromosomes (average, 0.185; P = 0.025), suggesting that the proteins of genes on microchromosomes are under greater evolutionary constraint.

Animals↗

In-silico identification of chicken immune-related genes.

In order to increase the resources available in chicken, a large-scale expressed sequence tag (EST) project was recently undertaken, resulting in the addition of more than 330,000 sequences to the databases. With the sequencing of further EST collections, there are now more than 460,000 chicken EST sequences publicly available (http://www.ncbi.nlm.nih.gov/). Previous analyses of the EST data estimate that the chicken genome may contain up to 35,000 genes. However, human data indicate that there may only be around 25,000, although there may be many more transcripts than actual genes. Here we describe how we used a bioinformatics approach with this large EST collection in order to identify immune-related genes, many of which were previously unreported in the chicken. The ESTs include cytokines, chemokines, antigens, cell surface proteins, receptors and MHC-associated genes. The identification of these kinds of genes will allow further study of avian immunology and will pave the way for large-scale immune-related microarray experiments, giving new insight into functional and evolutionary studies.

Animals↗

The chicken genome and the developmental biologist.

Recently the initial draft sequence of the chicken genome was released. The reasons for sequencing the chicken were to boost research and applications in agriculture and medicine, through its use as a model of vertebrate development. In addition, the sequence of the chicken would provide an important anchor species in the phylogenetic study of genome evolution. The chicken genome project has its roots in a decade of map building by genetic and physical mapping methods. Chicken genetic markers for map building have generally depended on labour intensive screening procedures. In recent years this has all changed with the availability of over 450,000 EST sequences, a draft sequence of the entire chicken genome and a map of over 1 million SNPs. Clearly, the future for the chicken genome and developmental biology is an exciting one. Through the integration of these resources, it will be possible to solve challenging scientific questions exploiting the power of a chicken model. In this paper we review progress in chicken genomics and discuss how the new tools and information on the chicken genome can help the developmental biologists now and in the future.

Animals↗

On reassessment of the chicken TGFB4 gene as TGFB1.

Three TGFB isoforms, TGFB1-3, are present in mammalian cells. The presence of four TGFB isoforms has been reported in avian species, though the sequence of TGFB4 was not conclusively determined. Our previously published data show that TGFB4 is actually the chicken ortholog of TGFB1. We mapped TGFB1 but not TGFB4 to linkage group E25C31 on GGA32 next to RYR1 forming a conserved segment with human chromosome HSA19q13.1-q13.2 and, therefore, being definitely the ortholog of human TGFB1. We, therefore, suggest that what was once called chicken "TGFB4" is actually TGFB1. Thus, in the evolutionary lineages of birds and mammals there are only three TGFB isoforms.

Animals↗

Chicken genomics charts a path to the genome sequence.

In this paper, the current status of chicken genomics is reviewed. This is timely given the current intense activity centred on sequencing the complete genome of this model species. The genome project is based on a decade of map building by genetic linkage and cytogenetic methods, which are now being replaced by high-resolution radiation hybrid and bacterial artificial chromosome (BAC) contig maps. Markers for map building have generally depended on labour-intensive screening procedures, but in recent years this has changed with the availability of almost 500,000 chicken expressed sequence tags (ESTs). These resources and tools will be critical in the coming months when the chicken genome sequence is being assembled (eg cross-checked with other maps) and annotated (eg gene structures based on ESTs). The future for chicken genome and biological research is an exciting one, through the integration of these resources. For example, through the proposed chicken Ensembl database, it will be possible to solve challenging scientific questions by exploiting the power of a chicken model. One area of interest is the study of developmental mechanisms and the discovery of regulatory networks throughout the genome. Another is the study of the molecular nature of quantitative genetic variation. No other animal species have been phenotyped and selected so intensively as agricultural animals and thus there is much to be learned in basic and medical biology from this research.

Animals↗

Craniofacial development in the talpid3 chicken mutant.

The talpid(3) chicken mutant has a pleiotropic phenotype including polydactyly and craniofacial abnormalities. Limb polydactyly in talpid(3) suggests a gain of Hedgehog (Hh) signaling, whereas, paradoxically, absence of midline facial structures suggests a loss of Hh function. Here we analyze the status of Shh signaling in the talpid(3) mutant head. We show that Shh expression domains are lost from the talpid(3) head--in hindbrain, midbrain, zona limitans intrathalamica, and stomodeal ectoderm--and that direct targets of Hedgehog signaling, Ptc1, Ptc2, and Gli1, are also absent even in areas associated with primary Shh expression. These data suggest that the talpid(3) mutation leads to defective activation of the Shh pathway and, furthermore, that tissue-to-tissue transduction of Shh expression in the developing head depends on Hh pathway activation. Failure to activate the Shh pathway can also explain absence of floor plate and Hnf-3beta and Netrin-1 expression in midbrain and hindbrain and absence of Fgf-8 expression in commissural plate. Other aspects of gene expression in the talpid(3) head, however, suggest misspecification, such as maintenance of floor plate-like gene expression in telencephalon. In branchial arches and lower jaw, where Shh is expressed, changes in expression of genes involved in patterning and mesodermal specification suggest both gain and loss of Hedgehog function. Thus, analysis of gene expression in talpid(3) head shows that, as in talpid(3) limb, expression of some genes is lost, while others are ectopically expressed. Unlike the limb, many head regions depend on Hh induction of a secondary domain of Shh expression, and failure of this induction in talpid(3), together with the inability to activate the Shh pathway, explain the loss-of-function head phenotype. This gene expression analysis in the talpid(3) head also confirms and extends knowledge of the importance of Shh signaling and the balance between activation and repression of Shh targets in many aspects of craniofacial morphogenesis.

Animals↗

Genetic, ophthalmic, morphometric and histopathological analysis of the Retinopathy Globe Enlarged (rge) chicken.

PURPOSE: To identify the locus responsible for rge (retinopathy globe enlarged) in chickens and further characterise the rge phenotype. METHODS: A colony of chickens carrying the rge mutation was rederived from a single heterozygous animal of the original line. The eyes of blind, heterozygous and normal birds were subjected to ophthalmic, morphometric and histopathological examination to confirm and extend published observations. DNA samples were obtained and subjected to a whole genome linkage search. RESULTS: From 138 classified backcross progeny, 56 birds were blind and 82 sighted. Heterozygous birds were indistinguishable from wild type, but homozygotes had sluggish or unresponsive pupils, posterior sub-capsular lens opacities and an atrophic pecten. The fundus appeared normal with no significant pigmentary disturbance, but axial length and eye weight were increased. Pathology revealed focal retinal lesions. Linkage analysis placed the rge locus in a small region of chicken chromosome 1. CONCLUSIONS: rge is a severe recessive retinal dystrophy in chickens, with associated globe enlargement. Linkage mapping has highlighted chicken chromosome 1 in a region most probably homologous to human chromosomes 7q31-35, 21q21 or 22q12-21. Candidate disease loci include RP10 (IMPDH1) and uncharacterised Ushers (USH1E) and glaucoma (GLC1F) loci.

Animals↗

Analysis of the rdd locus in chicken: a model for human retinitis pigmentosa.

PURPOSE: To identify the locus responsible for the blind mutation rdd (retinal dysplasia and degeneration) in chickens and to further characterise the rdd phenotype. METHODS: The eyes of blind and sighted birds were subjected to ophthalmic, morphometric and histopathological examination to confirm and extend published observations. Electroretinography was used to determine age of onset. Birds were crossed to create pedigrees suitable for genetic mapping. DNA samples were obtained and subjected to a linkage search. RESULTS: Measurement of IOP, axial length, corneal diameter, and eye weight revealed no gross morphological changes in the rdd eye. However, on ophthalmic examination, rdd homozygotes have a sluggish pupillary response, atrophic pecten, and widespread pigmentary disturbance that becomes more pronounced with age. Older birds also have posterior subcapsular cataracts. At three weeks of age, homozygotes have a flat ERG indicating severe loss of visual function. Pathological examination shows thinning of the RPE, ONL, photoreceptors and INL, and attenuation of the ganglion cell layer. From 77 classified backcross progeny, 39 birds were blind and 38 sighted. The rdd mutation was shown to be sex-linked and not autosomal as previously described. Linkage analysis mapped the rdd locus to a small region of the chicken Z chromosome with homologies to human chromosomes 5q and 9p. CONCLUSIONS: Ophthalmic, histopathologic, and electrophysiological observations suggest rdd is similar to human recessive retinitis pigmentosa. Linkage mapping places rdd in a region homologous to human chromosomes 9p and 5q. Candidate disease genes or loci include PDE6A, WGN1, and USH2C. This is the first use of genetic mapping in a chicken model of human disease.

Animals↗

A comprehensive collection of chicken cDNAs.

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.

Animals↗

Comparative mapping of human Chromosome 19 with the chicken shows conserved synteny and gives an insight into chromosomal evolution.

Human Chromosome 19 (HSA19) is virtually completely sequenced. A complete physical contig map made up of BACs and cosmids is also available for this chromosome. It is, therefore, a rich source of information that we have used as the basis for a comparative mapping study with the chicken. Various orthologs of genes known to map to HSA19 have been mapped in the chicken. Five chicken microchromosomes (two of which were previously undefined) are seen to show conserved synteny with this chromosome, along with individual gene homologs on Chr 1 and another tiny microchromosome. Compared with the mouse, which has 12 chromosomal regions homologous to HSA19, the chicken genotype displays fewer evolutionary rearrangements. The ancestral nature of the chicken karyotype is demonstrated and may prove to be an excellent tool for studying genome evolution.

Animals↗

Mapping quantitative trait loci and identification of genes that control fatness in poultry.

Chicken genomics has benefited from the rapid technological advances in the genomics of model organisms and man. A number of resources and approaches are now well established, in the chicken, including genetic markers and maps (both genetic and physical), quantitative trait loci mapping, comparative mapping, expressed sequence tag and bacterial artificial chromosome resources, and physical mapping. In addition, the next phase of gene discovery, functional genomics, is underway. Progress in mapping quantitative trait loci for growth and fatness traits will be discussed, as an application of these new technologies and approaches in the study of avian physiology and genetics.

Adipose Tissue↗