Gallus gallus
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ABSTRACT:
PROVIDER: PRJNA189977 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Chromosomal structural variation can cause alterations in gene dosage and gene regulation between genomes. Structural variants producing a change in the number of copies of a genomic region are termed copy number variants (CNVs). CNVs have been demonstrated to have causative effects on both Mendelian and complex traits, including susceptibility to infectious diseases. We are interested in mapping CNVs to domesticated chicken breeds to help determine structural variation between genomes that influences economically important traits. For this study, Fayoumi, Leghorn, Line A broiler and Line B broiler chicken were chosen. Fayoumi and Leghorn chickens were selected as these two breeds harbor different responses certain pathogens like Avian Influenza Virus and coccidiosis; Broiler Line A and Line B indivduals were chosen as they harbor different intestinal colonization loads to the bacterium Campylobacter jejuni. Campylobacter genetic Line A and genetic Line B are from a commercial producer have been previously described as either resistant (Line A) or susceptible (Line B). Highly inbred chicken lines Fayoumi M15.2 (n=6) and Leghorn GHs6 (n=6) and broilers from Line A (n=24 individuals in pools of 4) and Line B (n=24 individuals in pools of 4)were subjected to array Comparative Genomic Hybridization (aCGH). Each sample was normalized to a Red Jungle Fowl reference. CNVs for each individual and between lines were determined. The major goal of this study was to discover and characterize CNVs in chickens to further narrow in on Quantitative Trait Loci (QTLs) affecting disease response.
2016-02-11 | GSE44440 | GEO
Project description:Chromosomal structural variation can cause alterations in gene dosage and gene regulation between genomes. Structural variants producing a change in the number of copies of a genomic region are termed copy number variants (CNVs). CNVs have been demonstrated to have causative effects on both Mendelian and complex traits, including susceptibility to infectious diseases. We are interested in mapping CNVs to domesticated chicken breeds to help determine structural variation between genomes that influences economically important traits. For this study, Fayoumi, Leghorn, Line A broiler and Line B broiler chicken were chosen. Fayoumi and Leghorn chickens were selected as these two breeds harbor different responses certain pathogens like Avian Influenza Virus and coccidiosis; Broiler Line A and Line B indivduals were chosen as they harbor different intestinal colonization loads to the bacterium Campylobacter jejuni. Campylobacter genetic Line A and genetic Line B are from a commercial producer have been previously described as either resistant (Line A) or susceptible (Line B). Highly inbred chicken lines Fayoumi M15.2 (n=6) and Leghorn GHs6 (n=6) and broilers from Line A (n=24 individuals in pools of 4) and Line B (n=24 individuals in pools of 4)were subjected to array Comparative Genomic Hybridization (aCGH). Each sample was normalized to a Red Jungle Fowl reference. CNVs for each individual and between lines were determined. The major goal of this study was to discover and characterize CNVs in chickens to further narrow in on Quantitative Trait Loci (QTLs) affecting disease response. For the test DNA in Fayoumi and Leghorn, samples from 6 inbred Fayoumi and 6 inbred Leghorn individuals were used; For the test DNA in the Campylobacter genetic lines, samples from 24 individual broilers of Line A (in pools of 4) and 24 individual broilers of Line B (in pools of 4) were used. For the reference DNA, Red Jungle Fowl line UCD001 was used from a self-self hybridization.
2016-02-11 | E-GEOD-44440 | biostudies-arrayexpress
Project description:3 genetic chicken lines (Leghorn G-B1, Fayoumi, broiler) were used. chicken were challenged with SE at day 1, spleen and cecum tissues were collected at 2 hours and 16 hours after post challenge Keywords: time-course
2006-04-23 | GSE2562 | GEO
Project description:3 genetic chicken lines (Leghorn G-B1, Fayoumi, broiler) were used. chicken were challenged with SE at day 1, spleen and cecum tissues were collected at 2 hours and 16 hours after post challenge
2010-06-11 | E-GEOD-2562 | biostudies-arrayexpress
Project description:Domestic chicken has been intensively studied because of its role as an efficient source of lean meat. However, commercial broilers resulting from genetic selection for rapid growth demonstrate detrimental traits, such as excess deposition of abdominal adipose tissue, metabolic disorders, and reduced reproduction. Therefore fast-growing broilers represent “obese” chickens compared to slow-growing egg layers (e.g, Leghorn) or wild strain of meat-type chickens (e.g., Fayoumi). Fayoumi chickens, originating from Egypt, represent a harder stain of chickens, which are more resistant to diseases. Leghorn chickens are the original breed of commercial U.S layers. Both lines were maintained highly inbred by Iowa State University poultry geneticists with an inbreeding coefficient higher than 0.95. Both Fayoumi and Leghorn demonstrated lean phenotype compared to broilers, and these three lines of chickens are genetically distant from each other.
2013-12-23 | GSE44394 | GEO
Project description:Here we provided the first single-base resolution DNA methylatome in chicken lungs by whole-genome bisulfite sequencing (MethylC-seq). In addition, two genetically distinct highly inbred chicken lines, Leghorn and Fayoumi, were used to examine how DNA methylation regulates mRNA gene expression between two lines. The methylation profile demonstrated that methylcytosines in the chicken were more likely to occur in CG dinucleotides than in non-CG sites. DNA methylation in the gene body region, especially in the internal exons, was higher than in the 5’ and 3’ flanking regions of genes.Differentially methylated region (DMR) analysis indicated widespread differences between the Leghorn and Fayoumi lines. Of particular interest, many identified DMR-associated genes were significantly enriched in immune-related groups, which indicate that DNA methylation may regulate host immune response to pathogen infection in chickens as these two genetic lines have demonstrated differential resistance to a few pathogens. This work establishes a comprehensive and precise DNA methylation pattern in chickens and lays a solid foundation for future studies on epigenetic modifications related to poultry growth, disease, and development. DNA methylation profiles of two highly inbred chicken lines, Leghorn and Fayoumi,which were generated by deep sequencing, using Illumina GAII
2015-06-28 | E-GEOD-56975 | biostudies-arrayexpress
Project description:Three-week-old chickens were inoculated with low pathogenic H5N3 AIV and tissues were harvested 4 d pos tinoculation. Four lung cDNA libraries (1 library each for infected and noninfected Leghorn, and infected and noninfected Fayoumi) were prepared and sequenced by Illumina Genome Analyzer II, which yielded a total of 116 million, 75-bp single-end reads.M-BM- The objective of this study was to identify genes and signal pathways associated with resistance to AIV infection in 2 genetically distinct highly inbred chicken lines (Fayoumi, relatively resistant to AIV infection, and Leghorn, susceptible to AIV infection).
2014-05-28 | E-GEOD-57616 | biostudies-arrayexpress
Project description:In the two F8 advanced crosses of broiler by Leghorn and broiler by Fayoumi, birds at day 1 were challenged with Salmonella enteritidis (SE). Spleen were collected at day 7 and 8. SE bacterial load in spleen were measured. Based on the bacterial load, birds were divided into high and low SE load groups. Keywords: Salmonella enteritidis challenge
2006-06-01 | GSE4273 | GEO
Project description:Here we provided the first single-base resolution DNA methylatome in chicken lungs by whole-genome bisulfite sequencing (MethylC-seq). In addition, two genetically distinct highly inbred chicken lines, Leghorn and Fayoumi, were used to examine how DNA methylation regulates mRNA gene expression between two lines. The methylation profile demonstrated that methylcytosines in the chicken were more likely to occur in CG dinucleotides than in non-CG sites. DNA methylation in the gene body region, especially in the internal exons, was higher than in the 5’ and 3’ flanking regions of genes.Differentially methylated region (DMR) analysis indicated widespread differences between the Leghorn and Fayoumi lines. Of particular interest, many identified DMR-associated genes were significantly enriched in immune-related groups, which indicate that DNA methylation may regulate host immune response to pathogen infection in chickens as these two genetic lines have demonstrated differential resistance to a few pathogens. This work establishes a comprehensive and precise DNA methylation pattern in chickens and lays a solid foundation for future studies on epigenetic modifications related to poultry growth, disease, and development.
2015-06-28 | GSE56975 | GEO
Project description:Chromosomal segmental copy number variation (CNV) has been recently recognized as a very important source of genetic variability. Some CNV loci involve genes or conserved regulatory regions. Compelling evidence indicates that CNVs impact genome functions. The chicken is a very important farm animal species which has also served as model animal for biological and biomedical research for hundreds of years. A map of CNVs in chickens could facilitate the identification of chromosome regions that segregate for important agricultural and disease phenotypes. NimbleGen 385k whole genome tiling arrays were used to map CNVs in the chicken. This study has identified 96 CNVs in three lines of chickens (broiler, Leghorn and Rhode Island red). These CNVs encompass 16 Mb (1.3%) of the chicken genome. Twenty six CNVs were found in two or more animals. Smaller sized CNVs mostly affect none coding sequences while larger CNV regions involve genes, for example prolactin receptor, aldose reductase and zinc finger proteins, suggesting chicken CNVs potentially affect agricultural or disease related traits.
2010-06-11 | GSE19469 | GEO