Unknown,Transcriptomics,Genomics,Proteomics

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Analysis of severe feather pecking behavior in a high feather pecking selection line

ABSTRACT: Even though feather pecking (FP) in laying hens has been extensively studied, a good solution to prevent chickens from this behavior under commercial circumstances has not been found. Selection against FP behavior is possible, but for a more effective selection across different populations, it is necessary to characterize the genetic mechanism associated with this behavior. In this study, we use a high FP selection line, which has been selected for 8 generations. We present evidence of the presence of a major dominant allele affecting the FP behavior by using an argument based on the presence of mixture in the distribution of the observed FP and by studying the evolution of the proportion of very high FP along the sequence of 8 generations. This hypothesis is further supported by the fact that the gene transcription profile of the birds performing high FP differs from the profile of the other birds performing FP (456 genes differentially expressed from a total of 14,077 investigated genes). Keywords: severe feather pecking , selection , modeling , inheritance pattern From each selection line (high feather pecking line, low feather pecking line and control line) 60 animals were randomly selected. Within each line the birds were randomly assigned to a cage of 20. The cages were kept in a randomized block design. Number of samples analyzed in total: 179 (60 high feather pecking line, 60 low feather pecking line, 59 control line samples. Common reference design using total-RNA purified from brain from a single F1 cross between the high and low feather pecking line as reference.

ORGANISM(S): Gallus gallus

SUBMITTER: Jakob Hedegaard

PROVIDER: E-GEOD-10380 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Differentially expressed genes for aggressive pecking behaviour in laying hens.

Buitenhuis Bart B Hedegaard Jakob J Janss Luc L Sørensen Peter P

BMC genomics 20091119

<h4>Background</h4>Aggressive behaviour is an important aspect in the daily lives of animals living in groups. Aggressive animals have advantages, such as better access to food or territories, and they produce more offspring than low ranking animals. The social hierarchy in chickens is measured using the 'pecking order' concept, which counts the number of aggressive pecks given and received. To date, little is known about the underlying genetics of the 'pecking order'.<h4>Results</h4>A total of ...[more]

PMID: 19925670

Publication: 1/2

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Project description:The recent development within high-throughput technologies for expression profiling has allowed for parallel analysis of transcriptomes and proteomes in biological systems such as comparative analysis of transcript and protein levels of tissue regulated genes. Until now, such studies of have only included microarray or short length sequence tags for transcript profiling. Furthermore, most comparisons of transcript and protein levels have been based on absolute expression values from within the same tissue and not relative expression values based on tissue ratios. Presented here is a novel study of two porcine tissues based on integrative analysis of data from expression profiling of identical samples using cDNA microarray, 454-sequencing and iTRAQ-based proteomics. Sequence homology identified 2.541 unique transcripts that are detectable by both microarray hybridizations and 454-sequencing of 1.2 million cDNA tags. Both transcript-based technologies showed high reproducibility between sample replicates of the same tissue, but the correlation across these two technologies was modest. Thousands of genes being differentially expressed were identified with microarray. Out of the 306 differentially expressed genes, identified by 454-sequencing, 198 (65 %) were also found by microarray. The relationship between the regulation of transcript and protein levels was analyzed by integrating iTRAQ-based proteomics data. Protein expression ratios were determined for 354 genes, of which 148 could be mapped to both microarray and 454-sequencing data. A comparison of the expression ratios from the three technologies revealed that differences in transcript and protein levels across heart and muscle tissues are positively correlated. We show that the reproducibility within cDNA microarray and 454-sequencing is high, but that the agreement across these two technologies is modest. We demonstrate that the regulation of transcript and protein levels across identical tissue samples is positively correlated when the tissue expression ratios are used for comparison. The results presented are of interest in systems biology research in terms of integration and analysis of high-throughput expression data from mammalian tissues. Keywords: tissue comparison, platform comparison Tissue samples of heart (HEA) and Longissimus dorsi (LDO) were prepared by pooling from five healthy Hampshire gilts at age four to six months and division into six sub-samples, three for each tissue named HEA1, HEA2, HEA3, LDO1, LDO2 and LDO3. The exact same six tissue samples were used for subsequent expression profiling with cDNA microarray, 454-sequencing and iTRAQ-based proteomics. A reference sample for the cDNA microarray experiment and iTRAQ-based proteomics was constructed by combining the six samples. In the microarray experiment, three cDNA microarray slides were used per sample.

Project description:The introduction of long oligonucleotide-based probes has led to many comparative studies of these two platforms in mammals, but remains to be performed for pig. Further, the characteristics of global gene expression in diverse porcine muscle tissues have not been yet been fully established. This is the first global gene expression study of a collection of nine porcine muscle tissues consisting of cardiac and various skeletal muscle types using both cDNA-based and long oligonucleotide-based microarray platforms. The expression profiles from the two platforms agree in differentiating between cardiac, skeletal red, skeletal intermediate and skeletal white muscle types by producing almost identical hierarchical expression clusters. The clusters from both platforms also reveal that gene expression profiles of the skeletal intermediate type are more similar to the red type than to the white type. Analysis of the ability to identify differentially expressed genes based on gene set analysis and GO term integration show a platform overlap of at least 80% for the cardiac-skeletal comparisons and a platform overlap of at least 58% for the skeletal red-white comparisons. Interestingly, the oligonucleotide platform was always able to identify more GO terms associated with differential expression than the cDNA platform. We further examined the skeletal red-white expression differences and found many GO biological processes that are known to be associated with these phenotypes including calcium ion transport, glycolysis, fatty acid beta-oxidation and muscle contraction. In addition, the expression of genes involved in differentiation between slow (red) and fast (white) muscle types such as MYBPC1, TNNI1, TNNT3 and ATP2A1 is highly regulated between red and white type muscles. Not previously shown to be associated with this tissue difference we found the biological process post-Golgi vesicle-mediated transport. Similar results were obtained with GO classes cellular components and molecular functions. Using the gene expression profiles from the oligonucleotide platform we presented and applied an approach for predicting alternatively spliced transcripts across cardiac and skeletal type muscles. One of the predicted transcripts from the gene named UBE2C has been shown to have six transcript variants in human, but they are not expressed in a cardiac-skeletal specific manner as we have observed here. We speculate that one of our oligonucleotide probes for this gene is able to detect only three of these variants whereas the other detects all six variants and that these variants are expressed in a cardiac-skeletal muscle specific manner. These results supports some of the advantages of using oligonucleotide-based microarray platforms for global gene expression profiling and the observed differences in gene expression among muscle tissues contribute to the understanding of the molecular processes behind porcine muscle biology. Keywords: tissue comparison, platform comparison Muscle tissue samples from heart (HEA), Vastus intermedius (VIN), Infraspinatus (ISP), Supraspinatus (SSP), Biceps femoris (BFE), Longissimus dorsi (LDO), Semimembranosus (SME), Semitendinosus (STE) and Triceps brachii (TBR). A common reference sample was constructed by combining all samples. The exact same tissue samples were used for expression profiling with cDNA microarrays and 70-mer long oligonucleotide microarrays.

Dataset Information

Analysis of severe feather pecking behavior in a high feather pecking selection line

Publications

Differentially expressed genes for aggressive pecking behaviour in laying hens.

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