Skin transcriptome profiles associated with skin color in chickens
Ontology highlight
ABSTRACT: This work was to study the transcriptome profiles in the skin of chickens with black versus white skin using high-throughput RNA deep-sequencing technology, to investigate the different expression profiles of the genes involved in skin pigmentation, then look for the main differences between black and white skin colors in Lueyang chickens. 16-week-old white and black female Lueyang chickens (5 birds per color) were selected for the sample collection. A piece of skin (8 mm in diameter) from the left back was collected . Total RNA was extracted from the sample using Trizol reagent . Three RNA samples from either the black or white skin samples were pooled following mRNA isolation. The sequencing of the library was performed using an Illumina HiSeq 2000 (LianChuan Sciences, Hangzhou, China). According the result of sequencing, some colored gene expressions were validated using Real time quantitative polymerase chain reaction (qPCR).
Project description:This work was to study the transcriptome profiles in the skin of chickens with black versus white skin using high-throughput RNA deep-sequencing technology, to investigate the different expression profiles of the genes involved in skin pigmentation, then look for the main differences between black and white skin colors in Lueyang chickens.
Project description:Transcriptional profiling of the jejunum mucosa with 1.5 fold-change reporter genes in comparing control black-boned chickens under normal temperature (NT) conditon with heat-stress treated black-boned chickens under high temperature (HT) condition. Goal was to determine the differentially expressed genes (DEGs) in co-family black-boned chickens exposure to heat stress based on global chicken gene expression. Two-condition experiment, HT vs. NT Treatment. Biological replicates: 3 control replicates, 3 heat stressed replicates.
Project description:The genetic foundation of chicken tail feather color is not very well studied to date, though that of body feather color is extensively explored. In the present study, we used a synthetic chicken dwarf line (DW), which was originated from the hybrids between a black tail chicken breed, Rhode Island Red (RIR) and a white tail breed, Dwarf Layer (DL), to understand the genetic rules of the white/black tail color. The DW line still contain the individuals with black or white tails, even if the body feather are predominantly red, after more than ten generation of self-crossing and being selected for the body feather color. We firstly performed four crosses using the DW line chickens including black tail male to female, reciprocal crosses between the black and white, and white male to female to elucidate the inheritance pattern of the white/black tail. We found that (i) the white/black tail feather colors are independent of body feather color and (ii) the phenotype are autosomal simple trait and (iii) the white are dominant to the black in the DW lines. Furtherly, we performed a genome-wide association (GWA) analysis to determine the candidate genomic regions underlying the tail feather color by using black tail chickens from the RIR and DW chickens and white individuals from DW lines.
Project description:The RNA-Seq was used to analyze the expression profiling of genes in different ablescent stages of 'Anji Baicha' Examination of three tea leaf samples in yellow stage, white stage and green stage
Project description:we compared the skin transcriptomes of the black- and white-coated region from the Boer and Macheng Black crossbred goat with black head and white body using the Illumina RNA-Seq method. Six cDNA libraries derived from skin samples of the white coat region (n = 3) and black coat region (n = 3) were constructed from three full-sib goats. On average, we obtained approximately 76.5 and 73.5 million reads for each skin sample of black coat and white coat, respectively, of which 75.39% and 76.05% reads were covered in the genome database. Our study provides insight into the transcriptional regulation of two distinct coat color that might serve as a key resource for understanding coat color pigmentation of goat.
Project description:Chicken growth traits are important in poultry production, however, little is known for its regulatory mechanism at epigenetic level. Therefore, this study aims to compare DNA methylation profiles between fast- and slow-growing broilers in order to identify candidate genes underlying chicken growth. Methylated DNA immunoprecipitation-sequencing (MeDIP-seq) was used to investigate the genome-wide DNA methylation pattern in high and low tails of Recessive White Rock (WRRh, WRRl) and that of Xinhua Chickens (XHh, XHl). The results showed that the average of methylation density was the lowest in CGIs followed by promoters. Within the gene body, the methylation density of introns was higher than UTRs and exons. Moreover, different methylation levels were observed in different repeat types with the highest in LINE/CR1. Methylated CGIs were prominently distributed in the intergenic regions and were enriched in the size range of 200-300 bp. In total 13,294 methylated genes were found in four samples, including 4,085 differentially methylated genes between WRRh and WRRl, 5,599 between XHh and XHl, 4,204 between WRRh and XHh, as well as 7,301 between WRRl and XHl. Moreover, 132 differentially methylated genes related to growth and metabolism were observed in both inner contrasts (WRRh Vs. WRRl and XHh Vs. XHl), whereas 129 differentially methylated genes related to growth and metabolism were found in both across-breed contrasts (WRRh Vs. XHh and WRRl Vs. XHl). Further analysis showed that overall 75 genes exhibited altered DNA methylation in all four contrasts, which included some well-known growth factors of IGF1R, FGF12, FGF14, FGF18, FGFR2, and FGFR3. In addition, we further validate the MeDIP-seq results by bisulfite sequencing in some regions. 12 Breast muscle samples were collected from two breeds of different growth rate, Recessive White Rock (WRR) and Xinhua Chickens (XH). Each breed included low and high-weight groups and 3 samples from each group were pooled equally for methylated DNA immunoprecipitation-sequencing (MeDIP-seq).
Project description:To identify genes involved in nutrition metabolism of Macrobrachium nipponense, two independent cDNA libraries from hepatopancreas and muscle were constructed through high-throughput next-generation sequencing techniques. A total of 112,548,142 and 90,140,774 high quality reads were generated in the two cDNA libraries, respectively. Clustering and assembly of these reads produced a nonredundant set of 98,560 unique sequences, with an average unigene length of 793 bp. The unigene sequences were subjected to GO, COG and KEGG functional classification. A large number of differentially expressed genes were recovered by comparison of the two tissues. The differentially expressed and their functions were predicted by KEGG pathway mapping. Furthermore, 17,971SSRs and 32,935 high-confidence SNPs were identified in the two EST datasets. This study lays the foundation for further research on gene function analysis in nutrition metabolism of M. nipponense. sample 1: hepatopancreas; sample 2: muscle
Project description:Transcriptional profiling of Ovine skin samples comparing pigmentation samples from piebald and normal Merino sheep All pair comparison of 5 pigmentation samples with dye swaps. Dye swaps were performed with different biological replicates (labelled 1 or 2) NOR - White sample from a normal, non-affected wild-type individual sheep PBB - Black sample from a piebald individual sheep PBW - White sample from a piebald individual sheep RSB - Black sample from a recessive black sheep RSW - White sample from a recissive black sheep taken from the inguinal, non-pigmented area.
Project description:Transcriptional profiling of the jejunum mucosa with 1.5 fold-change reporter genes in comparing control black-boned chickens under normal temperature (NT) conditon with heat-stress treated black-boned chickens under high temperature (HT) condition. Goal was to determine the differentially expressed genes (DEGs) in co-family black-boned chickens exposure to heat stress based on global chicken gene expression.
Project description:Chronological age is one of the important factors influencing muscle development and meat quality in chickens. To evaluate the protein expression profiles during skeletal muscle development, we performed a tandem mass tag (TMT)-based quantitative proteomic strategy in pectoralis major (breast muscle) of Beijing-You chicken (BYC) at the age of 90, 120 and 150 days. A total of 1,413 proteins in chicken breast muscle and 197 of them were differentially expressed (fold change ≥ 1.2 or ≤ 0.8333 and p < 0.05). There were 110 up- and 71 down-regulated proteins in 120 d vs. 90 d group, 13 up- and 10 down-regulated proteins in 150 d vs. 120 d group. The proteomic profiles of BYC at 120 d were very similar to those at 150 d and highly different from those at 90 d, suggesting that 120 d might be an important chronological age for BYC. Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses indicated that these differentially expressed proteins were mainly involved in the pathway of glycolysis/gluconeogenesis, adrenergic signaling in cardiomyocytes, focal adhesion, oocyte meiosis and phagosome. Protein expression analysis indicated that the differences in muscle growth rate between ages were regulated by proteins such as LDHA and ENO3, whereas ATP2A1 and HSP70 were associated with water-holding capacity (WHC), and PPP1CB and COL1A2 were suggested to lie in the role of intramuscular fat (IMF) deposition. In addition, RACK1 was thought to be crucial for the sexual maturation during chicken development. Furthermore, some DEPs were quantified using parallel reaction monitoring (PRM) to validate the results from TMT analysis. Overall, the present work could strengthen our view of the temporal expression profile during development and identify novel biomarkers for genetic breeding of chickens.