Project description:Background: The chicken (Gallus gallus) is an important model organism that bridges the evolutionary gap between mammals and other vertebrates. Copy number variations (CNVs) are a form of genomic structural variation widely distributed in the genome. CNV analysis has recently gained greater attention and momentum, as the identification of CNVs can contribute to a better understanding of traits important to both humans and other animals. To detect chicken CNVs, we genotyped 475 animals derived from two broiler chicken lines divergently selected for abdominal fat content using chicken 60K SNP array, which is a high-throughput method widely used in chicken genomics studies. Results: Using PennCNV algorithm, we detected 438 and 291 CNVs in the lean and fat lines, respectively, corresponding to 271 and 188 CNV regions (CNVRs), which were obtained by merging overlapping CNVs. Out of these CNVRs, 99% were confirmed also by the CNVPartition program. These CNVRs covered 40.26 and 30.60 Mb of the chicken genome in the lean and fat lines, respectively. Moreover, CNVRs included 176 loss, 68 gain and 27 both (i.e. loss and gain within the same region) events in the lean line, and 143 loss, 25 gain and 20 both events in the fat line. Ten CNVRs were chosen for the validation experiment using qPCR method, and all of them were confirmed in at least one qPCR assay. We found a total of 886 genes located within these CNVRs, and Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses showed they could play various roles in a number of biological processes. Integrating the results of CNVRs, known quantitative trait loci (QTL) and selective sweeps for abdominal fat content suggested that some genes (including SLC9A3, GNAL, SPOCK3, ANXA10, HELIOS, MYLK, CCDC14, SPAG9, SOX5, VSNL1, SMC6, GEN1, MSGN1 and ZPAX) may be important for abdominal fat deposition in the chicken. Conclusions: Our study provided a genome-wide CNVR map of the chicken genome, thereby contributing to our understanding of genomic structural variations and their potential roles in abdominal fat content in the chicken. In total, 475 birds (203 and 272 individuals from the lean and fat lines, respectively) from the 11th generation population of Northeast Agricultural University broiler lines divergently selected for abdominal fat content (NEAUHLF) were used. These 475 birds were genotyped by the chicken 60k SNP chip and PennCNV method were used to perform genome-wide CNV detection.

Project description:Background: The chicken (Gallus gallus) is an important model organism that bridges the evolutionary gap between mammals and other vertebrates. Copy number variations (CNVs) are a form of genomic structural variation widely distributed in the genome. CNV analysis has recently gained greater attention and momentum, as the identification of CNVs can contribute to a better understanding of traits important to both humans and other animals. To detect chicken CNVs, we genotyped 475 animals derived from two broiler chicken lines divergently selected for abdominal fat content using chicken 60K SNP array, which is a high-throughput method widely used in chicken genomics studies. Results: Using PennCNV algorithm, we detected 438 and 291 CNVs in the lean and fat lines, respectively, corresponding to 271 and 188 CNV regions (CNVRs), which were obtained by merging overlapping CNVs. Out of these CNVRs, 99% were confirmed also by the CNVPartition program. These CNVRs covered 40.26 and 30.60 Mb of the chicken genome in the lean and fat lines, respectively. Moreover, CNVRs included 176 loss, 68 gain and 27 both (i.e. loss and gain within the same region) events in the lean line, and 143 loss, 25 gain and 20 both events in the fat line. Ten CNVRs were chosen for the validation experiment using qPCR method, and all of them were confirmed in at least one qPCR assay. We found a total of 886 genes located within these CNVRs, and Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses showed they could play various roles in a number of biological processes. Integrating the results of CNVRs, known quantitative trait loci (QTL) and selective sweeps for abdominal fat content suggested that some genes (including SLC9A3, GNAL, SPOCK3, ANXA10, HELIOS, MYLK, CCDC14, SPAG9, SOX5, VSNL1, SMC6, GEN1, MSGN1 and ZPAX) may be important for abdominal fat deposition in the chicken. Conclusions: Our study provided a genome-wide CNVR map of the chicken genome, thereby contributing to our understanding of genomic structural variations and their potential roles in abdominal fat content in the chicken.

Project description:Tetrahydrobiopterin (BH4) is an essential cofactor for several metabolic enzymes, including the aromatic amino acid hydroxylases, alkylglycerol mono-oxygenase and NO synthases. BH4 deficiency due to an autosomal recessive defect in its biosynthetic enzyme 6-pyruvoyltetrahydropterin synthase (PTPS, encoded by the PTS gene) leads to a variant form of hyperphenylalaninemia concomitant with severe deficiency of brain monoamine neurotransmitters. In contrast, augmentation of BH4 by pharmacological supplementation or stimulation of its biosynthesis is thought to correct eNOS dysfunction, to protect from (cardio) vascular disease and/or to prevent from abdominal obesity and development of the metabolic syndrome. We have previously reported that complete Pts knock-out (ko) mice die after birth (Elzaouk et al JBC 2003). Here we generated a murine Pts-knock-in (ki) allele expressing a PTPS-p.Arg15Cys mutant enzyme with low residual activity (12% of wild-type in vitro) and investigated heterozygous Pts-ko/wt, homozygous Pts-ki/ki and compound heterozygous Pts-ki/ko mutant mice. All mice were viable and, depending on the severity of the Pts alleles, exhibited up to 90% reduction of PTPS activity in liver and brain tissues concomitant with high neopterin, but neither an elevation of blood L-Phe, nor a decrease in brain monoamine neurotransmitters dopamine or serotonin. Upon a standard systemic and comprehensive phenotyping of Pts-ki/ki mice, we found alterations in energy metabolites with reduced body mass, higher fat content, lower lean mass, and increased blood glucose and cholesterol in mutant animals. Furthermore, heterozygous Pts-ko/wt and/or homozygous Pts-ki/ki mice exhibited increased body weight and elevated intra-abdominal fat tissue when fed with normal chow or high fat diet. We conclude that a reduced BH4-biosynthetic activity in mice leads to abnormal body fat distribution and abdominal obesity potentially through a mildly compromised eNOS function.

Dataset Information

Quantitative proteome profiling analyses on differential abdominal fat deposition between fat and lean chicken lines

Publications

Integrated transcriptome and proteome analysis reveals potential mechanisms for differential abdominal fat deposition between divergently selected chicken lines.

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