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Yang B, Zhang H, Feng X, Yu Z, Cao J, Niu Y, Wan P, Liu G, Zhao X. Genetic Diversity Estimation and Genome-Wide Selective Sweep Analysis of the Bazhou Yak. Animals (Basel) 2025; 15:849. [PMID: 40150378 PMCID: PMC11939585 DOI: 10.3390/ani15060849] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2025] [Revised: 03/01/2025] [Accepted: 03/14/2025] [Indexed: 03/29/2025] Open
Abstract
The Bazhou yak, a major native meat yak breed in Xinjiang, China, is renowned for its fast growth rate, strong adaptability, and particularly high intramuscular fat (IMF) content. However, limited knowledge regarding its phylogenetic history and genomic composition has hindered its long-term conservation and utilization. This study evaluated the genetic diversity, population phylogenetics, and genome-wide selective sweep analysis (GWSA) of 100 newly obtained Bazhou yaks through genome resequencing, as well as 340 public yak genomes from nine other populations on the Qinghai-Tibet Plateau. The results revealed moderate diversity, lower genomic inbreeding levels, and rapid linkage disequilibrium (LD) decay in Bazhou yaks. Principal component analysis (PCA) and phylogenetic analysis showed a clear separation of Bazhou yaks from other yak populations, indicating the Bazhou yak as an independent genetic population. Furthermore, less genetic differentiation was found between the Bazhou yak and the Huanhu yak, while ADMIXTURE analysis revealed a common ancestral lineage between Bazhou yaks and Huanhu yaks, indicating an important genetic contribution of the Qinghai yak population to Bazhou yaks. The GWSA identified a total of 833 selected genes in Bazhou yaks using the top 5% interaction windows of both parameters (FST, Pi ratio, and XP-EHH). A significant number of these genes are related to fat synthesis and deposition, such as MTOR, APOA1, and GPAT4. In summary, this study sheds light on the phylogenetic status and distinctive genomic features of Bazhou yaks, which facilitates our understanding of the genetic basis of the IMF phenotype in Bazhou yaks.
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Affiliation(s)
- Baigao Yang
- Institute of Animal Sciences (IAS), Chinese Academy of Agricultural Sciences (CAAS), No. 2 Yuanmingyuan Western Road, Haidian District, Beijing 100193, China; (B.Y.); (H.Z.); (X.F.); (Z.Y.); (J.C.); (Y.N.)
| | - Hang Zhang
- Institute of Animal Sciences (IAS), Chinese Academy of Agricultural Sciences (CAAS), No. 2 Yuanmingyuan Western Road, Haidian District, Beijing 100193, China; (B.Y.); (H.Z.); (X.F.); (Z.Y.); (J.C.); (Y.N.)
| | - Xiaoyi Feng
- Institute of Animal Sciences (IAS), Chinese Academy of Agricultural Sciences (CAAS), No. 2 Yuanmingyuan Western Road, Haidian District, Beijing 100193, China; (B.Y.); (H.Z.); (X.F.); (Z.Y.); (J.C.); (Y.N.)
| | - Zhou Yu
- Institute of Animal Sciences (IAS), Chinese Academy of Agricultural Sciences (CAAS), No. 2 Yuanmingyuan Western Road, Haidian District, Beijing 100193, China; (B.Y.); (H.Z.); (X.F.); (Z.Y.); (J.C.); (Y.N.)
| | - Jianhua Cao
- Institute of Animal Sciences (IAS), Chinese Academy of Agricultural Sciences (CAAS), No. 2 Yuanmingyuan Western Road, Haidian District, Beijing 100193, China; (B.Y.); (H.Z.); (X.F.); (Z.Y.); (J.C.); (Y.N.)
| | - Yifan Niu
- Institute of Animal Sciences (IAS), Chinese Academy of Agricultural Sciences (CAAS), No. 2 Yuanmingyuan Western Road, Haidian District, Beijing 100193, China; (B.Y.); (H.Z.); (X.F.); (Z.Y.); (J.C.); (Y.N.)
| | - Pengcheng Wan
- State Key Laboratory of Sheep Genetic Improvement and Healthy Breeding, Institute of Animal Husbandry and Veterinary Sciences, Xinjiang Academy of Agricultural and Reclamation Sciences, Shihezi 832000, China;
| | - Gang Liu
- National Animal Husbandry Service, Beijing 100193, China
| | - Xueming Zhao
- Institute of Animal Sciences (IAS), Chinese Academy of Agricultural Sciences (CAAS), No. 2 Yuanmingyuan Western Road, Haidian District, Beijing 100193, China; (B.Y.); (H.Z.); (X.F.); (Z.Y.); (J.C.); (Y.N.)
- State Key Laboratory of Sheep Genetic Improvement and Healthy Breeding, Institute of Animal Husbandry and Veterinary Sciences, Xinjiang Academy of Agricultural and Reclamation Sciences, Shihezi 832000, China;
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Al-Ajli FO, Formenti G, Fedrigo O, Tracey A, Sims Y, Howe K, Al-Karkhi IM, Althani AA, Jarvis ED, Rahman S, Ayub Q. Chromosome-level reference genome assembly of the gyrfalcon (Falco rusticolus) and population genomics offer insights into the falcon population in Mongolia. Sci Rep 2025; 15:4154. [PMID: 39900672 PMCID: PMC11790892 DOI: 10.1038/s41598-025-88216-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2024] [Accepted: 01/24/2025] [Indexed: 02/05/2025] Open
Abstract
The taxonomic classification of a falcon population found in the Mongolian Altai region in Asia has been heavily debated for two centuries and previous studies have been inconclusive, hindering a more informed conservation approach. Here, we generated a chromosome-level gyrfalcon reference genome using the Vertebrate Genomes Project (VGP) assembly pipeline. Using whole genome sequences of 49 falcons from different species and populations, including "Altai" falcons, we analyzed their population structure, admixture patterns, and demographic history. We find that the Altai falcons are genomic mosaics of saker and gyrfalcon ancestries, and carry distinct W and mitochondrial haplotypes that cluster with the lanner falcon. The Altai maternally-inherited haplotypes diverged 422,000 years before present (290,000-550,000 YBP) from the ancestor of sakers and gyrfalcons, both of which, in turn, split 109,000 YBP (70,000-150,000 YBP). The Altai W chromosome has 31 coding variants in 29 genes that may possibly influence important structural, behavioral, and reproductive traits. These findings provide insights into the question of Altai falcons as a candidate distinct species.
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Affiliation(s)
- Farooq Omar Al-Ajli
- Qatar Falcon Genome Project, Doha, Qatar.
- School of Science, Monash University, Subang Jaya, Malaysia.
- Vertebrate Genome Laboratory, The Rockefeller University, NY, USA.
| | - Giulio Formenti
- Vertebrate Genome Laboratory, The Rockefeller University, NY, USA
| | - Olivier Fedrigo
- Vertebrate Genome Laboratory, The Rockefeller University, NY, USA
| | | | - Ying Sims
- Wellcome Sanger Institute, Cambridge, UK
| | | | | | - Asmaa Ali Althani
- Biomedical Research Center, Qatar University, Doha, Qatar
- Health Cluster, Qatar University, Doha, Qatar
| | - Erich D Jarvis
- Vertebrate Genome Laboratory, The Rockefeller University, NY, USA
- Howard Hughes Medical Institute, Chevy Chase, Maryland, USA
| | - Sadequr Rahman
- School of Science, Monash University, Subang Jaya, Malaysia
- Tropical Medicine and Biology Multidisciplinary Platform, School of Science, Monash University, Subang Jaya, Malaysia
| | - Qasim Ayub
- School of Science, Monash University, Subang Jaya, Malaysia.
- Tropical Medicine and Biology Multidisciplinary Platform, School of Science, Monash University, Subang Jaya, Malaysia.
- Genomics Platform, School of Science, Monash University, Subang Jaya, Malaysia.
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Li Z, Wu H, Fu J, Mushtaq M, Khan M, Liu Y, Azeem Z, Shi H, He Y, Zhang R, Rahman MAU, Kang J, Ge C, Wang K. Eggshell Quality Traits and Transcriptome Gene Screening Between Yunnong and Jingfen Chicken Breeds. BIOLOGY 2024; 13:1048. [PMID: 39765715 PMCID: PMC11673107 DOI: 10.3390/biology13121048] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/07/2024] [Revised: 12/12/2024] [Accepted: 12/12/2024] [Indexed: 01/11/2025]
Abstract
The eggshell quality traits in avian species, including Yunnong chickens (YN), are crucial for commercial and breeding purposes. The use of advanced biotechnologies, such as gene sequencing, has become increasingly common for identifying genetic markers and comparing specific traits in livestock. However, genetic markers related to eggshell traits in YN chickens remain unexplored. This study aimed to compare eggshell quality traits and identify genetic markers in YN chickens versus commercial Jingfen chickens (JF). A total of 400 chicks (200 per breed) were reared for 300 days under controlled conditions. At the end, 60 eggs from each breed were analyzed using scanning electron microscopy to examine eggshell cross-sections and mammillary layer structure. Tissue samples from kidneys and eggshell glands were collected from six hens per breed for RT-qPCR analysis to study gene expression profiles. Results showed that YN chickens had significantly higher eggshell strength, thickness, mammillary density, and effective layer thickness than JF chickens (p < 0.01). Despite this, YN chickens had a thinner mammillary layer. RT-qPCR analysis confirmed five candidate genes related to eggshells (LSS, NSDHL, MSMO1, SQLE, and FDFT1) that play an important role in this process. Pathway analysis revealed significant enrichment in several biological processes, including steroid biosynthesis, glycerolipid metabolism, purine metabolism, and thiamine metabolism. Based on these results, the YN chickens have strong eggshells with better thickness, mammillary density, and effective layer thickness. In addition, genomic and pathways analysis suggest a complex interaction of metabolic, immune, and cellular processes potentially influencing eggshell quality traits in poultry.
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Affiliation(s)
- Zijian Li
- College of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China; (Z.L.); (H.W.); (Y.H.); (J.K.); (C.G.)
| | - Hao Wu
- College of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China; (Z.L.); (H.W.); (Y.H.); (J.K.); (C.G.)
| | - Jing Fu
- Yunnan Animal Science and Veterinary Institute, Panlong District, Kunming 650201, China; (J.F.); (M.M.); (R.Z.)
| | - Maida Mushtaq
- Yunnan Animal Science and Veterinary Institute, Panlong District, Kunming 650201, China; (J.F.); (M.M.); (R.Z.)
| | - Muhammad Khan
- Yunnan Animal Science and Veterinary Institute, Panlong District, Kunming 650201, China; (J.F.); (M.M.); (R.Z.)
| | - Yong Liu
- Yunnan Rural Revitalization Education Institute, Yunnan Open University, Kunming 650101, China; (Y.L.); (H.S.)
| | - Zobia Azeem
- Department of Zoology, University of Veterinary and Animal Sciences, Lahore 54000, Pakistan;
| | - Hongmei Shi
- Yunnan Rural Revitalization Education Institute, Yunnan Open University, Kunming 650101, China; (Y.L.); (H.S.)
| | - Yang He
- College of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China; (Z.L.); (H.W.); (Y.H.); (J.K.); (C.G.)
| | - Ru Zhang
- Yunnan Animal Science and Veterinary Institute, Panlong District, Kunming 650201, China; (J.F.); (M.M.); (R.Z.)
| | | | - Jiajia Kang
- College of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China; (Z.L.); (H.W.); (Y.H.); (J.K.); (C.G.)
| | - Changrong Ge
- College of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China; (Z.L.); (H.W.); (Y.H.); (J.K.); (C.G.)
| | - Kun Wang
- College of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China; (Z.L.); (H.W.); (Y.H.); (J.K.); (C.G.)
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Jimoh AO, Tughobo OS, Uwaeziozi UC, Ojo OA, Ihejirika UDG, Ejiko SO. Leptin, adiponectin, biochemicals, metabolic hormones and performance characteristics of broiler administered with spices essential oil. Trop Anim Health Prod 2024; 56:392. [PMID: 39579269 DOI: 10.1007/s11250-024-04237-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2024] [Accepted: 11/13/2024] [Indexed: 11/25/2024]
Abstract
A study was conducted to evaluate adipokines, metabolic hormones and serum biochemicals of broiler chicken administered with essential oils (EO) of turmeric, ginger, cinnamon and garlic. EO of the four spices were extracted by steam distillation using standard procedures. The EO were administered to 200 one- day-old unsexed broiler birds randomly allotted to five treatment groups (each of the four spices EO plus a control group) replicated 10 times in a completely randomized design. The spices EO were added to water consumed by the birds at 30 ml/L and standard diets were fed in a 42-day feed trial to determine weight changes and feed consumption. At the end of the trial, blood samples were collected, serum obtained and were assayed for metabolic and biochemical indicators. Results obtained indicates that the weight gain trends shows that birds on cinnamon EO and garlic EO were significantly (p < 0.05) higher than those on turmeric EO. Abdominal fat of birds on EO were significantly (p < 0.05) lesser than birds on control. Cholesterol of birds on EOs-based treatments were significantly (p < 0.05) lesser than birds on control. Triiodothyronine of birds were not significantly influenced by EOs. Insulin of birds on EOs were statistically (p < 0.05) reduced compared with those on control. Consumption of cinnamon EO significantly (p < 0.05) increased adiponectin of birds compared with garlic EO. Intake of garlic EO significantly (p < 0.05) enhance leptin of birds compared with cinnamon EO. This study suggests that cinnamon and garlic EO are potent oral phytogenic supplements to promote growth and lean yield in broiler chicken.
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Affiliation(s)
- Abubakar Olatunji Jimoh
- Department of Animal Production Technology, The Federal Polytechnic Ado Ekiti, Ado Ekiti, Nigeria.
| | - Oladimeji Samuel Tughobo
- Department of Science Laboratory Technology, The Federal Polytechnic Ado Ekiti, Ado Ekiti, Nigeria
| | - Uche Carlos Uwaeziozi
- Department of Animal Science, University of Agriculture and Environmental Science Umuagwo, Umuagwo, Imo State, Nigeria
| | - Olayinka Abosede Ojo
- Department of Animal Production, Fisheries and Aquaculture, Kwara State University Molete, Molete, Nigeria
| | - Uchechi Daureen Gift Ihejirika
- Animal Physiology and Bioclimatology, Department of Animal and Environmental Biology, Kingsley Ozumba Mbadiwe University Ideato, Ideato, Imo State, Nigeria
| | - Samuel Omojola Ejiko
- Department of Mechanical Engineering, Federal Polytechnic Ado Ekiti, Ado Ekiti, Nigeria
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Yu S, Wang G, Shen X, Chen J, Liao J, Yang Y, Aikebai G. Comprehensive analysis of changes in expression of lncRNA, microRNA and mRNA in liver tissues of chickens with high or low abdominal fat deposition. Br Poult Sci 2024; 65:250-258. [PMID: 38808584 DOI: 10.1080/00071668.2024.2319779] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2023] [Accepted: 12/07/2023] [Indexed: 05/30/2024]
Abstract
1. The liver of chickens is a dominant lipid biosynthetic tissue and plays a vital role in fat deposition, particularly in the abdomen. To determine the molecular mechanisms involved in its lipid metabolism, the livers of chickens with high (H) or low (L) abdominal fat content were sampled and sequencing on long non-coding RNA (lncRNA), messenger RNA (mRNA) and small RNA (microRNA) was performed.2. In total, 351 expressed protein-coding genes for long non-coding RNA (DEL; 201 upregulated and 150 downregulated), 400 differentially expressed genes (DEG; 223 upregulated and 177 downregulated) and 10 differentially expressed miRNA (DEM; four upregulated and six downregulated) were identified between the two groups. Multiple potential signalling pathways related to lipogenesis and lipid metabolism were identified via pathway enrichment analysis. In addition, 173 lncRNA - miRNA - mRNA interaction regulatory networks were identified, including 30 lncRNA, 27 mRNA and seven miRNA.3. These networks may help regulate lipid metabolism and fat deposition. Five promising candidate genes and two lncRNA may play important roles in the regulation of adipogenesis and lipid metabolism in chickens.
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Affiliation(s)
- S Yu
- Engineering Research Center of Sichuan Province Higher School of Local Chicken Breeds Industrialization in Southern Sichuan, College of Life Science, Leshan Normal University, Leshan, China
| | - G Wang
- Engineering Research Center of Sichuan Province Higher School of Local Chicken Breeds Industrialization in Southern Sichuan, College of Life Science, Leshan Normal University, Leshan, China
| | - X Shen
- Engineering Research Center of Sichuan Province Higher School of Local Chicken Breeds Industrialization in Southern Sichuan, College of Life Science, Leshan Normal University, Leshan, China
| | - J Chen
- Engineering Research Center of Sichuan Province Higher School of Local Chicken Breeds Industrialization in Southern Sichuan, College of Life Science, Leshan Normal University, Leshan, China
| | - J Liao
- Engineering Research Center of Sichuan Province Higher School of Local Chicken Breeds Industrialization in Southern Sichuan, College of Life Science, Leshan Normal University, Leshan, China
| | - Y Yang
- Engineering Research Center of Sichuan Province Higher School of Local Chicken Breeds Industrialization in Southern Sichuan, College of Life Science, Leshan Normal University, Leshan, China
| | - G Aikebai
- Engineering Research Center of Sichuan Province Higher School of Local Chicken Breeds Industrialization in Southern Sichuan, College of Life Science, Leshan Normal University, Leshan, China
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Jing Y, Cheng B, Wang H, Bai X, Zhang Q, Wang N, Li H, Wang S. The landscape of the long non-coding RNAs and circular RNAs of the abdominal fat tissues in the chicken lines divergently selected for fatness. BMC Genomics 2022; 23:790. [PMID: 36456907 PMCID: PMC9714206 DOI: 10.1186/s12864-022-09045-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2022] [Accepted: 11/24/2022] [Indexed: 12/04/2022] Open
Abstract
BACKGROUND Excessive deposition of abdominal fat poses serious problems in broilers owing to rapid growth. Recently, the evolution of the existing knowledge on long non-coding RNAs (lncRNAs) and circular RNAs (circRNAs) have established their indispensable roles in multiple physiological metabolic processes, including adipogenesis and fat deposition. However, not much has been explored on their profiles in the abdominal fat tissues of broilers to date. In the study, we aimed to characterize the vital candidates of lncRNAs and circRNAs and their underlying regulations for abdominal fat deposition in broilers. RESULTS The present study sequenced the lncRNAs and circRNAs expression profiles in the abdominal fat tissues isolated from 7-week-old broilers, who were divergently selected for their fatness. It identified a total of 3359 lncRNAs and 176 circRNAs, demonstrating differential expressed (DE) 30 lncRNAs and 17 circRNAs between the fat- and lean-line broilers (|log2FC| ≥ 1, P < 0.05). Subsequently, the 20 cis-targets and 48 trans-targets of the candidate DE lncRNAs were identified for depositing abdominal fat by adjacent gene analysis and co-expression analysis, respectively. In addition, the functional enrichment analysis showed the DE lncRNAs targets and DE circRNAs host genes to be mainly involved in the cellular processes, amino/fatty acid metabolism, and immune inflammation-related pathways and GO terms. Finally, the vital 16 DE lncRNAs located in cytoplasm and specifically expressed in fat/lean line and their targets were used to construct the lncRNA-miRNA-mRNA competing endogenous RNA (ceRNA) regulatory network, comprising 7 DE lncRNAs, 28 miRNAs, 11 DE mRNAs. Notably, three lncRNAs including XR_001468036.2, XR_003077610.1 and XR_001466431.2 with the most connected degrees might play hub regulatory roles in abdominal fat deposition of broilers. CONCLUSIONS This study characterized the whole expression difference of lncRNAs and circRNAs between the two lines broilers with divergently ability of abdominal fat. The vital candidate DE lncRNAs/circRNAs and ceRNA regulations were identified related to the deposition of abdominal fat in chicken. These results might further improve our understanding of regulating the non-coding RNAs in obesity.
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Affiliation(s)
- Yang Jing
- grid.418524.e0000 0004 0369 6250Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and Rural Affairs, Harbin, 150030 People’s Republic of China ,grid.453075.0Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department of Heilongjiang Province, Harbin, 150030 People’s Republic of China ,grid.412243.20000 0004 1760 1136College of Animal Science and Technology, Northeast Agricultural University, Harbin, 150030 People’s Republic of China
| | - Bohan Cheng
- grid.418524.e0000 0004 0369 6250Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and Rural Affairs, Harbin, 150030 People’s Republic of China ,grid.453075.0Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department of Heilongjiang Province, Harbin, 150030 People’s Republic of China ,grid.412243.20000 0004 1760 1136College of Animal Science and Technology, Northeast Agricultural University, Harbin, 150030 People’s Republic of China
| | - Haoyu Wang
- grid.418524.e0000 0004 0369 6250Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and Rural Affairs, Harbin, 150030 People’s Republic of China ,grid.453075.0Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department of Heilongjiang Province, Harbin, 150030 People’s Republic of China ,grid.412243.20000 0004 1760 1136College of Animal Science and Technology, Northeast Agricultural University, Harbin, 150030 People’s Republic of China
| | - Xue Bai
- grid.418524.e0000 0004 0369 6250Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and Rural Affairs, Harbin, 150030 People’s Republic of China ,grid.453075.0Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department of Heilongjiang Province, Harbin, 150030 People’s Republic of China ,grid.412243.20000 0004 1760 1136College of Animal Science and Technology, Northeast Agricultural University, Harbin, 150030 People’s Republic of China
| | - Qi Zhang
- grid.418524.e0000 0004 0369 6250Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and Rural Affairs, Harbin, 150030 People’s Republic of China ,grid.453075.0Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department of Heilongjiang Province, Harbin, 150030 People’s Republic of China ,grid.412243.20000 0004 1760 1136College of Animal Science and Technology, Northeast Agricultural University, Harbin, 150030 People’s Republic of China
| | - Ning Wang
- grid.418524.e0000 0004 0369 6250Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and Rural Affairs, Harbin, 150030 People’s Republic of China ,grid.453075.0Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department of Heilongjiang Province, Harbin, 150030 People’s Republic of China ,grid.412243.20000 0004 1760 1136College of Animal Science and Technology, Northeast Agricultural University, Harbin, 150030 People’s Republic of China
| | - Hui Li
- grid.418524.e0000 0004 0369 6250Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and Rural Affairs, Harbin, 150030 People’s Republic of China ,grid.453075.0Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department of Heilongjiang Province, Harbin, 150030 People’s Republic of China ,grid.412243.20000 0004 1760 1136College of Animal Science and Technology, Northeast Agricultural University, Harbin, 150030 People’s Republic of China
| | - Shouzhi Wang
- grid.418524.e0000 0004 0369 6250Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and Rural Affairs, Harbin, 150030 People’s Republic of China ,grid.453075.0Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department of Heilongjiang Province, Harbin, 150030 People’s Republic of China ,grid.412243.20000 0004 1760 1136College of Animal Science and Technology, Northeast Agricultural University, Harbin, 150030 People’s Republic of China
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Zhang X, Su J, Huang T, Wang X, Wu C, Li J, Li J, Zhang J, Wang Y. Characterization of the chicken melanocortin 5 receptor and its potential role in regulating hepatic glucolipid metabolism. Front Physiol 2022; 13:917712. [PMID: 36277187 PMCID: PMC9583845 DOI: 10.3389/fphys.2022.917712] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2022] [Accepted: 09/16/2022] [Indexed: 11/18/2022] Open
Abstract
Melanocortin receptors (MC1R-MC5R) and their accessory proteins (MRAPs) are involved in a variety of physiological processes, including pigmentation, lipolysis, adrenal steroidogenesis, and immunology. However, the physiological roles of MC5R are rarely characterized in vertebrates, particularly in birds. In this work, we cloned the full-length cDNA of chicken MC5R and identified its core promoter region. Functional studies revealed that cMC5R was more sensitive to ACTH/α-MSH than β-MSH/γ-MSH, and was coupled to the cAMP/PKA signaling pathway. We demonstrated that MRAP2 decreased MC5R sensitivity to α-MSH, whereas MRAP1 did not have a similar effect, and that both MRAPs significantly reduced MC5R expression on the cell membrane surface. Transcriptome and qPCR data showed that both MRAP1 and MC5R were highly expressed in chicken liver. Additionally, we observed that ACTH might increase hepatic glucose production and decrease lipogenesis in primary hepatocytes, and dose-dependently downregulated the expression levels of ELOVL6 and THRSPA genes. These findings indicated that ACTH may act directly on hepatocytes to regulate glucolipid metabolism, which will help to understand the function of MC5R in avian.
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Affiliation(s)
- Xiao Zhang
- Key Laboratory of Bio-resources and Eco-environment of Ministry of Education, Animal Disease Prevention and Food Safety Key Laboratory of Sichuan Province, College of Life Sciences, Sichuan University, Chengdu, China
| | - Jiancheng Su
- Key Laboratory of Bio-resources and Eco-environment of Ministry of Education, Animal Disease Prevention and Food Safety Key Laboratory of Sichuan Province, College of Life Sciences, Sichuan University, Chengdu, China
| | - Tianjiao Huang
- Key Laboratory of Bio-resources and Eco-environment of Ministry of Education, Animal Disease Prevention and Food Safety Key Laboratory of Sichuan Province, College of Life Sciences, Sichuan University, Chengdu, China
| | - Xinglong Wang
- Key Laboratory of Bio-resources and Eco-environment of Ministry of Education, Animal Disease Prevention and Food Safety Key Laboratory of Sichuan Province, College of Life Sciences, Sichuan University, Chengdu, China
| | - Chenlei Wu
- Key Laboratory of Bio-resources and Eco-environment of Ministry of Education, Animal Disease Prevention and Food Safety Key Laboratory of Sichuan Province, College of Life Sciences, Sichuan University, Chengdu, China
| | - Jing Li
- Key Laboratory of Bio-resources and Eco-environment of Ministry of Education, Animal Disease Prevention and Food Safety Key Laboratory of Sichuan Province, College of Life Sciences, Sichuan University, Chengdu, China
| | - Juan Li
- Key Laboratory of Bio-resources and Eco-environment of Ministry of Education, Animal Disease Prevention and Food Safety Key Laboratory of Sichuan Province, College of Life Sciences, Sichuan University, Chengdu, China
| | - Jiannan Zhang
- Key Laboratory of Bio-resources and Eco-environment of Ministry of Education, Animal Disease Prevention and Food Safety Key Laboratory of Sichuan Province, College of Life Sciences, Sichuan University, Chengdu, China
| | - Yajun Wang
- Key Laboratory of Bio-resources and Eco-environment of Ministry of Education, Animal Disease Prevention and Food Safety Key Laboratory of Sichuan Province, College of Life Sciences, Sichuan University, Chengdu, China
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Chicken Protein S Gene Regulates Adipogenesis and Affects Abdominal Fat Deposition. Animals (Basel) 2022; 12:ani12162046. [PMID: 36009634 PMCID: PMC9404415 DOI: 10.3390/ani12162046] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2022] [Revised: 08/02/2022] [Accepted: 08/09/2022] [Indexed: 11/16/2022] Open
Abstract
Simple Summary Low-fat meat is increasingly desired by the public due to the growing popularity of healthy diets, and the excessive accumulation of abdominal fat increases costs in the broiler breeding industry, all of which have encouraged breeding changes in the broiler industry. Investigating fat accumulation at a cellular level from a genetic perspective will help us understand gene-mediated abdominal fat accumulation in chickens. This study aimed to explore the role of the PROS1 gene in adipose cells and its application prospect in broiler breeding. Based on our findings, we found that the PROS1 gene can contribute to adipose cell proliferation and can reduce fat deposits at the cellular level, and its mutations are highly correlated with chicken fat traits. Abstract (1) Background: Excessive abdominal fat deposition in broilers not only causes feed waste but also leads to a series of metabolic diseases. It has gradually become a new breeding goal of the broiler industry to improve growth rates and to reduce abdominal fat rates. In a previous study, PROS1 was highly expressed in low-abdominal fat broilers, suggesting a potential role in broilers adipogenesis. However, the function of PROS1 in preadipocytes and its association with abdominal fat traits need to be characterized. (2) Methods: qRT-PCR and Western Blot were used to quantify gene expression at the RNA and protein levels; flow cytometry and EdU were carried out to detect cell proliferation; and a GLM analysis was used to determine the association between PROS1 SNPs and carcass traits. (3) Results: PROS1 was downregulated in high-abdominal fat chicken; PROS1 contributed preadipocyte proliferation but suppressed preadipocyte differentiation; and the SNPs in the PROS1 5′ flank were significantly associated with the abdominal fat weight rate. (4) Conclusions: Chicken PROS1 is able to suppress adipogenesis, and its polymorphisms are associated with the abdominal fat weight rate, which can be considered the molecular markers for chicken breeding, indicating that PROS1 is an effective potential gene in regulating abdominal fat deposition.
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Jing Y, Yuan Y, Monson M, Wang P, Mu F, Zhang Q, Na W, Zhang K, Wang Y, Leng L, Li Y, Luan P, Wang N, Guo R, Lamont SJ, Li H, Yuan H. Multi-Omics Association Reveals the Effects of Intestinal Microbiome-Host Interactions on Fat Deposition in Broilers. Front Microbiol 2022; 12:815538. [PMID: 35250914 PMCID: PMC8892104 DOI: 10.3389/fmicb.2021.815538] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2021] [Accepted: 12/31/2021] [Indexed: 12/12/2022] Open
Abstract
Growing evidence indicates that gut microbiota factors cannot be viewed as independent in the occurrence of obesity. Because the gut microbiome is highly dimensional and complex, studies on interactions between gut microbiome and host in obesity are still rare. To explore the relationship of gut microbiome-host interactions with obesity, we performed multi-omics associations of gut metagenome, intestinal transcriptome, and host obesity phenotypes in divergently selected obese-lean broiler lines. Metagenomic shotgun sequencing generated a total of 450 gigabases of clean data from 80 intestinal segment contents of 20 broilers (10 of each line). The microbiome comparison showed that microbial diversity and composition in the duodenum, jejunum, ileum, and ceca were altered variously between the lean- and fat-line broilers. We identified two jejunal microbes (Escherichia coli and Candidatus Acetothermia bacterium) and four cecal microbes (Alistipes sp. CHKCI003, Ruminococcaceae bacterium CPB6, Clostridiales bacterium, and Anaeromassilibacillus sp. An200), which were significantly different between the two lines (FDR < 0.05). When comparing functional metagenome, the fat-line broilers had an intensive microbial metabolism in the duodenum and jejunum but degenerative microbial activities in the ileum and ceca. mRNA-sequencing identified a total of 1,667 differentially expressed genes (DEG) in the four intestinal compartments between the two lines (| log2FC| > 1.5 and FDR < 0.05). Multi-omics associations showed that the 14 microbial species with abundances that were significantly related with abdominal fat relevant traits (AFRT) also have significant correlations with 155 AFRT-correlated DEG (p < 0.05). These DEG were mainly involved in lipid metabolism, immune system, transport and catabolism, and cell growth-related pathways. The present study constructed a gut microbial gene catalog of the obese-lean broiler lines. Intestinal transcriptome and metagenome comparison between the two lines identified candidate DEG and differential microbes for obesity, respectively. Multi-omics associations suggest that abdominal fat deposition may be influenced by the interactions of specific gut microbiota abundance and the expression of host genes in the intestinal compartments in which the microbes reside. Our study explored the interactions between gut microbiome and host intestinal gene expression in lean and obese broilers, which may expand knowledge on the relationships between obesity and gut microbiome.
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Affiliation(s)
- Yang Jing
- Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and Rural Affairs, Harbin, China
- Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department of Heilongjiang Province, Harbin, China
- College of Animal Science and Technology, Northeast Agricultural University, Harbin, China
| | - Yuqi Yuan
- Novogene Bioinformatics Institute, Beijing, China
| | - Melissa Monson
- Department of Animal Science, Iowa State University, Ames, IA, United States
| | - Peng Wang
- Novogene Bioinformatics Institute, Beijing, China
| | - Fang Mu
- Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and Rural Affairs, Harbin, China
- Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department of Heilongjiang Province, Harbin, China
- College of Animal Science and Technology, Northeast Agricultural University, Harbin, China
| | - Qi Zhang
- Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and Rural Affairs, Harbin, China
- Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department of Heilongjiang Province, Harbin, China
- College of Animal Science and Technology, Northeast Agricultural University, Harbin, China
| | - Wei Na
- Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and Rural Affairs, Harbin, China
- Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department of Heilongjiang Province, Harbin, China
- College of Animal Science and Technology, Northeast Agricultural University, Harbin, China
| | - Ke Zhang
- Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and Rural Affairs, Harbin, China
- Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department of Heilongjiang Province, Harbin, China
- College of Animal Science and Technology, Northeast Agricultural University, Harbin, China
| | - Yuxiang Wang
- Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and Rural Affairs, Harbin, China
- Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department of Heilongjiang Province, Harbin, China
- College of Animal Science and Technology, Northeast Agricultural University, Harbin, China
| | - Li Leng
- Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and Rural Affairs, Harbin, China
- Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department of Heilongjiang Province, Harbin, China
- College of Animal Science and Technology, Northeast Agricultural University, Harbin, China
| | - Yumao Li
- Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and Rural Affairs, Harbin, China
- Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department of Heilongjiang Province, Harbin, China
- College of Animal Science and Technology, Northeast Agricultural University, Harbin, China
| | - Peng Luan
- Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and Rural Affairs, Harbin, China
- Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department of Heilongjiang Province, Harbin, China
- College of Animal Science and Technology, Northeast Agricultural University, Harbin, China
| | - Ning Wang
- Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and Rural Affairs, Harbin, China
- Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department of Heilongjiang Province, Harbin, China
- College of Animal Science and Technology, Northeast Agricultural University, Harbin, China
| | - Rongjun Guo
- Novogene Bioinformatics Institute, Beijing, China
| | - Susan J. Lamont
- Department of Animal Science, Iowa State University, Ames, IA, United States
| | - Hui Li
- Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and Rural Affairs, Harbin, China
- Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department of Heilongjiang Province, Harbin, China
- College of Animal Science and Technology, Northeast Agricultural University, Harbin, China
| | - Hui Yuan
- Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and Rural Affairs, Harbin, China
- Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department of Heilongjiang Province, Harbin, China
- College of Animal Science and Technology, Northeast Agricultural University, Harbin, China
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Kim M, Voy BH. Fighting Fat With Fat: n-3 Polyunsaturated Fatty Acids and Adipose Deposition in Broiler Chickens. Front Physiol 2021; 12:755317. [PMID: 34658934 PMCID: PMC8511411 DOI: 10.3389/fphys.2021.755317] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2021] [Accepted: 09/09/2021] [Indexed: 12/13/2022] Open
Abstract
Modern broiler chickens are incredibly efficient, but they accumulate more adipose tissue than is physiologically necessary due to inadvertent consequences of selection for rapid growth. Accumulation of excess adipose tissue wastes feed in birds raised for market, and it compromises well-being in broiler-breeders. Studies driven by the obesity epidemic in humans demonstrate that the fatty acid profile of the diet influences adipose tissue growth and metabolism in ways that can be manipulated to reduce fat accretion. Omega-3 polyunsaturated fatty acids (n-3 PUFA) can inhibit adipocyte differentiation, induce fatty acid oxidation, and enhance energy expenditure, all of which can counteract the accretion of excess adipose tissue. This mini-review summarizes efforts to counteract the tendency for fat accretion in broilers by enriching the diet in n-3 PUFA.
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Affiliation(s)
| | - Brynn H. Voy
- Department of Animal Science, The University of Tennessee, Knoxville, Knoxville, TN, United States
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11
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Bernardi O, Estienne A, Reverchon M, Bigot Y, Froment P, Dupont J. Adipokines in metabolic and reproductive functions in birds: An overview of current knowns and unknowns. Mol Cell Endocrinol 2021; 534:111370. [PMID: 34171419 DOI: 10.1016/j.mce.2021.111370] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/28/2021] [Revised: 06/04/2021] [Accepted: 06/14/2021] [Indexed: 01/09/2023]
Abstract
Adipose tissue is now recognized as an active endocrine organ, which synthesizes and secretes numerous peptides factors called adipokines. In mammals, they exert pleiotropic effects affecting energy metabolism but also fertility. In mammals, secretion of adipokines is altered in adipose tissue dysfunctions and may participate to obesity-associated disorders. Thus, adipokines are promising candidates both for novel pharmacological treatment strategies and as diagnostic tools. As compared to mammals, birds exhibit several unique physiological features, which make them an interesting model for comparative studies on endocrine control of metabolism and adiposity and reproductive functions. Some adipokines such as leptin and visfatin may have different roles in avian species as compared to mammals. In addition, some of them found in mammals such as CCL2 (chemokine ligand 2), resistin, omentin and FGF21 (Fibroblast Growth factor 21) have not yet been mapped to the chicken genome model and among its annotated gene models. This brief review aims to summarize data (structure, metabolic and reproductive roles and molecular mechanisms involved) related to main avian adipokines (leptin, adiponectin, visfatin, and chemerin) and we will briefly discuss the adipokines that are still lacking in avian species.
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Affiliation(s)
- Ophélie Bernardi
- CNRS, IFCE, INRAE, Université de Tours, PRC, F-37380, Nouzilly, France; SYSAAF-Syndicat des Sélectionneurs Avicoles et Aquacoles Français, Centre INRA Val de Loire, F-37380, Nouzilly, France
| | - Anthony Estienne
- CNRS, IFCE, INRAE, Université de Tours, PRC, F-37380, Nouzilly, France
| | - Maxime Reverchon
- SYSAAF-Syndicat des Sélectionneurs Avicoles et Aquacoles Français, Centre INRA Val de Loire, F-37380, Nouzilly, France
| | - Yves Bigot
- CNRS, IFCE, INRAE, Université de Tours, PRC, F-37380, Nouzilly, France
| | - Pascal Froment
- CNRS, IFCE, INRAE, Université de Tours, PRC, F-37380, Nouzilly, France
| | - Joëlle Dupont
- CNRS, IFCE, INRAE, Université de Tours, PRC, F-37380, Nouzilly, France.
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12
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Effects of stocking density on the performance, tibia mineralization, and the expression of hypothalamic appetite genes in broiler chickens. ANNALS OF ANIMAL SCIENCE 2021. [DOI: 10.2478/aoas-2020-0110] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Abstract
Abstract
The current study investigated the effects of stocking density (SD) on the performance, tibia mineralization, and the hypothalamic appetite genes expression in broilers. A total of 2,800 1-d-old male broilers (Cobb 500) were distributed in a completely randomized design to 1 of 5 SD treatments with 8 replicate cages for each treatment. The SD treatments were 12.5, 15.0, 17.5, 20.0, and 22.5 birds/m2, corresponding to 50, 60, 70, 80, and 90 birds per cage (4 m2/cage), respectively. The concentration of tibia phosphorus was determined by the ammonium metavanadate colorimetric method and the mRNA abundance in different tissues was measured by the real-time quantitative PCR method. The data were analyzed by the one-way and/or two-way analysis of variance and polynomial contrasts were used to determine the effect of increasing SD. Feed intake linearly decreased (P < 0.05) with increasing SD during d 1-42 production period. On d 42, body weight and tibia breaking strength were significantly lower in the groups of 17.5, 20.0 and 22.5 birds/m2 than in the groups of 12.5 and 15 birds/m2 (P < 0.01). Concentrations of ash and phosphorus in the tibia of broilers linearly decreased (P < 0.03) with increasing SD on d 42. The SD of 22.5 birds/m2 decreased the mRNA abundance of neuropeptide Y (NPY), NPY-receptor (NPYR) 1, and NPYR2 (P < 0.05), while it increased melanocortin receptor 4 mRNA abundance (P = 0.012) in the hypothalamus of broilers as compared with the SD of 12.5 birds/m2 on d 21 and 42. The mRNA abundance of hypothalamic cocaine and amphetamine-regulated transcript (CART), corticotrophin-releasing factor (CRF), and CRF-receptor 1 (CRFR1) were higher (P < 0.05) in the group of 22.5 birds/m2 than in the group of 12.5 birds/m2 on d 21. We concluded that increasing stocking density beyond 15 birds/m2 (corresponding to the 45 kg/m2 at 42 days of age) suppressed final BW and bone mineralization of broilers raised in multitier cage system. Hypothalamic NPY and CRF signaling might be involved in the anorexigenic effect of HSD.
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Ghafouri F, Bahrami A, Sadeghi M, Miraei-Ashtiani SR, Bakherad M, Barkema HW, Larose S. Omics Multi-Layers Networks Provide Novel Mechanistic and Functional Insights Into Fat Storage and Lipid Metabolism in Poultry. Front Genet 2021; 12:646297. [PMID: 34306005 PMCID: PMC8292821 DOI: 10.3389/fgene.2021.646297] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2020] [Accepted: 06/04/2021] [Indexed: 12/25/2022] Open
Abstract
Fatty acid metabolism in poultry has a major impact on production and disease resistance traits. According to the high rate of interactions between lipid metabolism and its regulating properties, a holistic approach is necessary. To study omics multilayers of adipose tissue and identification of genes and miRNAs involved in fat metabolism, storage and endocrine signaling pathways in two groups of broiler chickens with high and low abdominal fat, as well as high-throughput techniques, were used. The gene-miRNA interacting bipartite and metabolic-signaling networks were reconstructed using their interactions. In the analysis of microarray and RNA-Seq data, 1,835 genes were detected by comparing the identified genes with significant expression differences (p.adjust < 0.01, fold change ≥ 2 and ≤ -2). Then, by comparing between different data sets, 34 genes and 19 miRNAs were detected as common and main nodes. A literature mining approach was used, and seven genes were identified and added to the common gene set. Module finding revealed three important and functional modules, which were involved in the peroxisome proliferator-activated receptor (PPAR) signaling pathway, biosynthesis of unsaturated fatty acids, Alzheimer's disease metabolic pathway, adipocytokine, insulin, PI3K-Akt, mTOR, and AMPK signaling pathway. This approach revealed a new insight to better understand the biological processes associated with adipose tissue.
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Affiliation(s)
- Farzad Ghafouri
- Department of Animal Science, College of Agriculture and Natural Resources, University of Tehran, Karaj, Iran
| | - Abolfazl Bahrami
- Department of Animal Science, College of Agriculture and Natural Resources, University of Tehran, Karaj, Iran
- Nuclear Agriculture Research School, Nuclear Science and Technology Research Institute, Karaj, Iran
| | - Mostafa Sadeghi
- Department of Animal Science, College of Agriculture and Natural Resources, University of Tehran, Karaj, Iran
| | - Seyed Reza Miraei-Ashtiani
- Department of Animal Science, College of Agriculture and Natural Resources, University of Tehran, Karaj, Iran
| | - Maryam Bakherad
- Department of Cell and Molecular Biology, Faculty of Biological Sciences, Kharazmi University, Tehran, Iran
| | - Herman W. Barkema
- Department of Production Animal Health, University of Calgary, Calgary, AB, Canada
| | - Samantha Larose
- One Health at UCalgary, University of Calgary, Calgary, AB, Canada
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14
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Wang L, Leng L, Ding R, Gong P, Liu C, Wang N, Li H, Du ZQ, Cheng B. Integrated transcriptome and proteome analysis reveals potential mechanisms for differential abdominal fat deposition between divergently selected chicken lines. J Proteomics 2021; 241:104242. [PMID: 33901680 DOI: 10.1016/j.jprot.2021.104242] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2021] [Revised: 04/18/2021] [Accepted: 04/19/2021] [Indexed: 12/15/2022]
Abstract
Genetic selection for meat production performance of broilers concomitantly causes excessive abdominal fat deposition, accompanied by several adverse effects, such as the reduction of feed conversion efficiency and reproduction performance. Our previous studies have identified important genes regulating chicken fat deposition, using the Northeast Agricultural University broiler lines divergently selected for abdominal fat content (NEAUHLF) as an animal model. However, the molecular mechanism underlying fat deposition differences between fat and lean broilers remains largely unknown. Here, we integrated the transcriptome (RNA-Seq) and quantitative proteome (isobaric tags for relative and absolute quantitation, iTRAQ) profiling analyses on abdominal fat tissues from NEAUHLF chicken lines. Differentially expressed genes (2167 DEGs, corrected p-value < 0.01) and differentially abundant proteins (199 DAPs, corrected p-value < 0.05) were identified in lean line compared to fat line. Down-regulated DEGs and DAPs mainly enriched in pathways related to fatty acid metabolism, fatty acid biosynthesis, and PPAR signaling, and interestingly, up-regulated DEGs and DAPs enriched both in lysosome pathway. Moreover, numerous key DEGs and DAPs involved in long-chain fatty acid uptake, in situ lipogenesis (fatty acid and cholesterol synthesis), and lipid droplet accumulation were discovered after integrated transcriptome and proteome analysis. SIGNIFICANCE: Excessive abdominal fat deposition critically affects the health of broilers and causes economic loss to broiler producers, but the molecular mechanism of abdominal fat deposition is still unclear in chicken. We identified key DEGs/DAPs and potential pathways through an integration of chicken abdominal fat tissues transcriptome and proteome analyses. Our findings will facilitate a better revealing the mechanism and provide a novel insight into abdominal fat content discrepancy between the fat and lean chicken lines.
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Affiliation(s)
- Lijian Wang
- Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and Rural Affairs, Harbin 150030, PR China; Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department of Heilongjiang Province, Harbin 150030, PR China; College of Animal Science and Technology, Northeast Agricultural University, Harbin 150030, PR China
| | - Li Leng
- Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and Rural Affairs, Harbin 150030, PR China; Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department of Heilongjiang Province, Harbin 150030, PR China; College of Animal Science and Technology, Northeast Agricultural University, Harbin 150030, PR China
| | - Ran Ding
- Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and Rural Affairs, Harbin 150030, PR China; Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department of Heilongjiang Province, Harbin 150030, PR China; College of Animal Science and Technology, Northeast Agricultural University, Harbin 150030, PR China
| | - Pengfei Gong
- Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and Rural Affairs, Harbin 150030, PR China; Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department of Heilongjiang Province, Harbin 150030, PR China; College of Animal Science and Technology, Northeast Agricultural University, Harbin 150030, PR China
| | - Chang Liu
- Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and Rural Affairs, Harbin 150030, PR China; Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department of Heilongjiang Province, Harbin 150030, PR China; College of Animal Science and Technology, Northeast Agricultural University, Harbin 150030, PR China
| | - Ning Wang
- Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and Rural Affairs, Harbin 150030, PR China; Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department of Heilongjiang Province, Harbin 150030, PR China; College of Animal Science and Technology, Northeast Agricultural University, Harbin 150030, PR China
| | - Hui Li
- Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and Rural Affairs, Harbin 150030, PR China; Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department of Heilongjiang Province, Harbin 150030, PR China; College of Animal Science and Technology, Northeast Agricultural University, Harbin 150030, PR China
| | - Zhi-Qiang Du
- Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and Rural Affairs, Harbin 150030, PR China; Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department of Heilongjiang Province, Harbin 150030, PR China; College of Animal Science and Technology, Northeast Agricultural University, Harbin 150030, PR China.
| | - Bohan Cheng
- Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and Rural Affairs, Harbin 150030, PR China; Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department of Heilongjiang Province, Harbin 150030, PR China; College of Animal Science and Technology, Northeast Agricultural University, Harbin 150030, PR China.
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Lin XJ, Li L, Gou ZY, Fan QL, Wang YB, Jiang SQ. Reproductive performance, metabolism and oxidative stress profile in Chinese yellow-feathered broiler breeder hens fed multiple levels of isoleucine. Br Poult Sci 2021; 62:509-516. [PMID: 33764231 DOI: 10.1080/00071668.2021.1894322] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Abstract
1. This experiment was conducted to evaluate the effects of dietary isoleucine (Ile) on reproductive performance and certain indices of metabolism and oxidative stress in Chinese yellow-feathered broiler breeder hens.2. A total of 600, 40-week-old Chinese yellow-feathered broiler breeder hens were fed a basal diet formulated with maize, corn gluten meal and spray-dried blood cell meal containing 3.3 g/kg Ile, or supplemented to contain 4.5, 5.7, 6.9, or 8.1 g/kg Ile for five weeks. Each dietary treatment had six replicates with 20 birds per replicate. After three weeks of receiving the trial diets, 24 eggs were collected at random from each replicate to measure egg quality. Starting after four weeks of treatment, 50 settable eggs per replicate were collected for 7 d in succession for hatching. After five weeks of being fed the treatment diets, birds were slaughtered for tissue and organ collection.3. For the overall period, laying rate, egg weight, egg mass and hatchling weight linearly (P < 0.05) and quadratically (P < 0.05) increased with dietary Ile levels. Final body weight, feed intake and relative liver weight of birds fed 3.3 g/kg Ile was lower compared to birds fed the other diets (P < 0.05). There was no effect of Ile level on egg quality (P > 0.05). Hatchling weight was linearly (P < 0.05) and quadratically increased (P < 0.05) in line with dietary supplemental Ile.4. After three weeks on the trial diets, birds fed the diet containing 3.3 g/kg Ile had decreased blood TG concentrations compared to breeders fed 6.9 or 8.1 g/kg Ile (P < 0.05). Activities of CK were significantly higher in breeders fed the 3.3 g/kg Ile diet compared to all other levels of dietary Ile after five weeks of treatment. A quadratic effect (P < 0.05) was evident for glucose at 8.1 g/kg Ile level. After five weeks of treatment, plasma TG concentrations in birds fed 3.3 g/kg Ile were significantly lower than in birds fed all other levels of Ile. Glucose concentrations in breeder hens receiving the 3.3 g/kg Ile diet were lowest and the highest concentrations were in birds fed 5.7 g/kg Ile (P < 0.05). Plasma activities of LDH were highest in breeders on the 3.3 g/kg Ile diet but were only significantly different (P < 0.05) for birds fed 5.7 g/kg Ile.5. The current study indicated that Ile deficiency decreased reproductive performance and appeared to serve as a stressor. The optimal dietary Ile for Chinese yellow-feathered broiler breeder hens in the laying period was 5.79 g/kg feed (0.75 g/d).
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Affiliation(s)
- X J Lin
- Institute of Animal Science, Guangdong Academy of Agricultural Sciences, State Key Laboratory of Livestock and Poultry Breeding, Key Laboratory of Animal Nutrition and Feed Science in South China, Ministry of Agriculture and Rural Affairs, Guangdong Key Laboratory of Animal Breeding and Nutrition, Guangzhou, P. R. China
| | - L Li
- Institute of Animal Science, Guangdong Academy of Agricultural Sciences, State Key Laboratory of Livestock and Poultry Breeding, Key Laboratory of Animal Nutrition and Feed Science in South China, Ministry of Agriculture and Rural Affairs, Guangdong Key Laboratory of Animal Breeding and Nutrition, Guangzhou, P. R. China
| | - Z Y Gou
- Institute of Animal Science, Guangdong Academy of Agricultural Sciences, State Key Laboratory of Livestock and Poultry Breeding, Key Laboratory of Animal Nutrition and Feed Science in South China, Ministry of Agriculture and Rural Affairs, Guangdong Key Laboratory of Animal Breeding and Nutrition, Guangzhou, P. R. China
| | - Q L Fan
- Institute of Animal Science, Guangdong Academy of Agricultural Sciences, State Key Laboratory of Livestock and Poultry Breeding, Key Laboratory of Animal Nutrition and Feed Science in South China, Ministry of Agriculture and Rural Affairs, Guangdong Key Laboratory of Animal Breeding and Nutrition, Guangzhou, P. R. China
| | - Y B Wang
- Institute of Animal Science, Guangdong Academy of Agricultural Sciences, State Key Laboratory of Livestock and Poultry Breeding, Key Laboratory of Animal Nutrition and Feed Science in South China, Ministry of Agriculture and Rural Affairs, Guangdong Key Laboratory of Animal Breeding and Nutrition, Guangzhou, P. R. China
| | - S Q Jiang
- Institute of Animal Science, Guangdong Academy of Agricultural Sciences, State Key Laboratory of Livestock and Poultry Breeding, Key Laboratory of Animal Nutrition and Feed Science in South China, Ministry of Agriculture and Rural Affairs, Guangdong Key Laboratory of Animal Breeding and Nutrition, Guangzhou, P. R. China
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16
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Honda K. Peripheral regulation of food intake in chickens: adiposity signals, satiety signals and others. WORLD POULTRY SCI J 2021. [DOI: 10.1080/00439339.2021.1898296] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Affiliation(s)
- K. Honda
- Graduate School of Agricultural Science, Kobe University, Kobe, Japan
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17
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Nematbakhsh S, Pei Pei C, Selamat J, Nordin N, Idris LH, Abdull Razis AF. Molecular Regulation of Lipogenesis, Adipogenesis and Fat Deposition in Chicken. Genes (Basel) 2021; 12:genes12030414. [PMID: 33805667 PMCID: PMC8002044 DOI: 10.3390/genes12030414] [Citation(s) in RCA: 59] [Impact Index Per Article: 14.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2021] [Revised: 03/10/2021] [Accepted: 03/11/2021] [Indexed: 12/13/2022] Open
Abstract
In the poultry industry, excessive fat deposition is considered an undesirable factor, affecting feed efficiency, meat production cost, meat quality, and consumer’s health. Efforts to reduce fat deposition in economically important animals, such as chicken, can be made through different strategies; including genetic selection, feeding strategies, housing, and environmental strategies, as well as hormone supplementation. Recent investigations at the molecular level have revealed the significant role of the transcriptional and post-transcriptional regulatory networks and their interaction on modulating fat metabolism in chickens. At the transcriptional level, different transcription factors are known to regulate the expression of lipogenic and adipogenic genes through various signaling pathways, affecting chicken fat metabolism. Alternatively, at the post-transcriptional level, the regulatory mechanism of microRNAs (miRNAs) on lipid metabolism and deposition has added a promising dimension to understand the structural and functional regulatory mechanism of lipid metabolism in chicken. Therefore, this review focuses on the progress made in unraveling the molecular function of genes, transcription factors, and more notably significant miRNAs responsible for regulating adipogenesis, lipogenesis, and fat deposition in chicken. Moreover, a better understanding of the molecular regulation of lipid metabolism will give researchers novel insights to use functional molecular markers, such as miRNAs, for selection against excessive fat deposition to improve chicken production efficiency and meat quality.
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Affiliation(s)
- Sara Nematbakhsh
- Laboratory of Food Safety and Food Integrity, Institute of Tropical Agriculture and Food Security, Universiti Putra Malaysia (UPM), Serdang 43400, Selangor, Malaysia; (S.N.); (J.S.); (N.N.)
| | - Chong Pei Pei
- Faculty of Health and Medical Sciences, School of Biosciences, Taylor’s University, Subang Jaya 47500, Selangor, Malaysia;
| | - Jinap Selamat
- Laboratory of Food Safety and Food Integrity, Institute of Tropical Agriculture and Food Security, Universiti Putra Malaysia (UPM), Serdang 43400, Selangor, Malaysia; (S.N.); (J.S.); (N.N.)
- Department of Food Science, Faculty of Food Science and Technology, Universiti Putra Malaysia (UPM), Serdang 43400, Selangor, Malaysia
| | - Noordiana Nordin
- Laboratory of Food Safety and Food Integrity, Institute of Tropical Agriculture and Food Security, Universiti Putra Malaysia (UPM), Serdang 43400, Selangor, Malaysia; (S.N.); (J.S.); (N.N.)
| | - Lokman Hakim Idris
- Department of Veterinary Preclinical Sciences, Faculty of Veterinary Medicine, Universiti Putra Malaysia (UPM), Serdang 43400, Selangor, Malaysia;
| | - Ahmad Faizal Abdull Razis
- Laboratory of Food Safety and Food Integrity, Institute of Tropical Agriculture and Food Security, Universiti Putra Malaysia (UPM), Serdang 43400, Selangor, Malaysia; (S.N.); (J.S.); (N.N.)
- Department of Food Science, Faculty of Food Science and Technology, Universiti Putra Malaysia (UPM), Serdang 43400, Selangor, Malaysia
- Natural Medicines and Products Research Laboratory, Institute of Bioscience, Universiti Putra Malaysia (UPM), Serdang 43400, Selangor, Malaysia
- Correspondence:
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Yuan H, Lu J. Consensus module analysis of abdominal fat deposition across multiple broiler lines. BMC Genomics 2021; 22:115. [PMID: 33568065 PMCID: PMC7876793 DOI: 10.1186/s12864-021-07423-6] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2020] [Accepted: 02/03/2021] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND Despite several RNA-Seq and microarray studies on differentially expressed genes (DEGs) between high- and low-abdominal fat deposition in different broiler lines, to our knowledge, gene coexpression analysis across multiple broiler lines has rarely been reported. Here, we constructed a consensus gene coexpression network focused on identifying consensus gene coexpression modules associated with abdominal fat deposition across multiple broiler lines using two public RNA-Seq datasets (GSE42980 and GSE49121). RESULTS In the consensus gene coexpression network, we identified eight consensus modules significantly correlated with abdominal fat deposition across four broiler lines using the consensus module analysis function in the weighted gene coexpression network analysis (WGCNA) package. The eight consensus modules were moderately to strongly preserved in the abdominal fat RNA-Seq dataset of another broiler line (SRP058295). Furthermore, we identified 5462 DEGs between high- and low-abdominal fat lines (FL and LL) (GSE42980) and 6904 DEGs between high- and low-growth (HG and LG) (GSE49121), including 1828 overlapping DEGs with similar expression profiles in both datasets, which were clustered into eight consensus modules. Pyruvate metabolism, fatty acid metabolism, and steroid biosynthesis were significantly enriched in the green, yellow, and medium purple 3 consensus modules. The PPAR signaling pathway and adipocytokine signaling pathway were significantly enriched in the green and purple consensus modules. Autophagy, mitophagy, and lysosome were significantly enriched in the medium purple 3 and yellow consensus modules. CONCLUSION Based on lipid metabolism pathways enriched in eight consensus modules and the overexpression of numerous lipogenic genes in both FL vs. LL and HG vs. LG, we hypothesize that more fatty acids, triacylglycerols (TAGs), and cholesterol might be synthesized in broilers with high abdominal fat than in broilers with low abdominal fat. According to autophagy, mitophagy, and lysosome enrichment in eight consensus modules, we inferred that autophagy might participate in broiler abdominal fat deposition. Altogether, these studies suggest eight consensus modules associated with abdominal fat deposition in broilers. Our study also provides an idea for investigating the molecular mechanism of abdominal fat deposition across multiple broiler lines.
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Affiliation(s)
- Hui Yuan
- College of Animal Science and Technology, Northeast Agricultural University, Harbin, 150030, Heilongjiang, China.
| | - Jun Lu
- College of Animal Science and Technology, Northeast Agricultural University, Harbin, 150030, Heilongjiang, China
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Anand P, Kumar SV, Ravi K, Simmi T. Differential gene expression in duodenum of colored broiler chicken divergently selected for residual feed intake. Trop Anim Health Prod 2021; 53:59. [PMID: 33389221 DOI: 10.1007/s11250-020-02519-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2020] [Accepted: 12/07/2020] [Indexed: 11/29/2022]
Abstract
Feed constitutes about 70% of the total expenditure of poultry production. Maximizing the feed efficiency in juvenile period is essential to achieve low production cost. The efficiency of feed utilization was measured by RFI (residual feed intake) by calculating the difference between an individual animal's observed and its expected feed intake. The expression of genes influencing low and high RFI is required to know the basic molecular mechanism influencing feed efficiency. The present study aimed to estimate the RFI (0-5 week) in a population of indigenously developed colored broiler sire line chicken. The duodenum sample of high and low-RFI broiler chicken was used for microarray analysis. Duodenum exhibited 1030 differentially expressed genes after analysis. Out of total DEGs, 461 genes were downregulated and 569 were upregulated. The fold change of differentiallly expressed genes varies from - 162.6 to 1549.28. A subset of genes was validated by qRT-PCR and results were correlated well with microarray data. In functional annotation study of DEGs, 89 biological processes, 30 cellular components, and 29 molecular functions were identified. Study of the important differentially expressed genes and the related molecular pathways in the population may hold the potential for future breeding strategies for augmenting feed efficiency.
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Affiliation(s)
- Prakash Anand
- Department of Livestock Farm Complex, College of Veterinary Science, Rampura Phul, GADVASU, Ludhiana, India.
| | - Saxena Vishesh Kumar
- Division of Avian Genetics and Breeding, Central Avian Research Institute, Indian Council of Agricultural Research, Bareilly (Uttar Pradesh), India
| | - Kumar Ravi
- National institute of animal biotechnology, Hyderabad, Telangana, India
| | - Tomar Simmi
- Division of Avian Genetics and Breeding, Central Avian Research Institute, Indian Council of Agricultural Research, Bareilly (Uttar Pradesh), India
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Identification of Differentially Expressed Genes and Lipid Metabolism Signaling Pathways between Muscle and Fat Tissues in Broiler Chickens. J Poult Sci 2021; 58:131-137. [PMID: 33927567 PMCID: PMC8076620 DOI: 10.2141/jpsa.0200040] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
In this study, signaling pathways and key differentially expressed genes (DEGs) involved in lipid metabolism in muscle and fat tissues were investigated. Muscle and abdominal fat tissues were obtained from 35-day-old female broilers for RNA sequencing. DEGs between muscle and fat tissues were identified. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analyses of DEGs were performed. A total of 6130 DEGs were identified to be significantly enriched in 365 GO terms, most of which were involved in biological processes, cellular components, and molecular functions in muscle and fat tissues. Three important lipid signaling pathways (pyruvate metabolism, the insulin signaling pathway, and the adipocytokine signaling pathway) were identified among the fat and muscle tissues of broilers. The key common DEGs in these pathways included phosphoenolpyruvate carboxykinase 2 (PCK2), acetyl-CoA carboxylase 1 alpha and beta (ACACA and ACACB), and the mitogen-activated protein kinase (AMPK) gene family. Hence, our findings revealed the pathways and key genes and gene families involved in the regulation of fat deposition in the muscle and fat tissues of broilers.
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21
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Effect of Vitamin E Supplementation on Deposition and Gene Expression Profiling of Abdominal Fat in Broiler Chickens. J Poult Sci 2021; 58:40-50. [PMID: 33519285 PMCID: PMC7837805 DOI: 10.2141/jpsa.0200011] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
The aim of this study was to study the regulation of abdominal fat deposition by DL-α-tocopherol acetate (vitamin E) in broilers. Diets supplemented with 50 IU vitamin E significantly diminished abdominal fat deposition in broilers at day 35. Transcriptome sequencing results for abdominal fat tissues of the control (FC) and 50 IU vitamin E-supplemented (FT) groups identified 602 differentially expressed genes (DEGs), which were enriched in cellular process, cell and cell part, and binding Gene Ontology terms. Pathway functional analysis revealed that the DEGs were enriched in 42 metabolic pathways. Notably, the most enriched pathway, fatty acid biosynthesis, was found to play a key role in lipid metabolism. Further, the key regulators of lipid metabolism, including fatty acid synthase, acetyl-CoA carboxylase alpha, and acyl-CoA synthetase long-chain family member 1, demonstrated decreased expression following vitamin E supplementation. Herein, we have identified pathways and genes regulated by vitamin E, thereby providing novel insights into the nutrients regulating abdominal fat deposition in broilers.
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Hanlon C, Ramachandran R, Zuidhof MJ, Bédécarrats GY. Should I Lay or Should I Grow: Photoperiodic Versus Metabolic Cues in Chickens. Front Physiol 2020; 11:707. [PMID: 32670092 PMCID: PMC7332832 DOI: 10.3389/fphys.2020.00707] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2020] [Accepted: 05/29/2020] [Indexed: 12/11/2022] Open
Abstract
While photoperiod has been generally accepted as the primary if not the exclusive cue to stimulate reproduction in photoperiodic breeders such as the laying hen, current knowledge suggests that metabolism, and/or body composition can also play an influential role to control the hypothalamic-pituitary gonadal (HPG)-axis. This review thus intends to first describe how photoperiodic and metabolic cues can impact the HPG axis, then explore and propose potential common pathways and mechanisms through which both cues could be integrated. Photostimulation refers to a perceived increase in day-length resulting in the stimulation of the HPG. While photoreceptors are present in the retina of the eye and the pineal gland, it is the deep brain photoreceptors (DBPs) located in the hypothalamus that have been identified as the potential mediators of photostimulation, including melanopsin (OPN4), neuropsin (OPN5), and vertebrate-ancient opsin (VA-Opsin). Here, we present the current state of knowledge surrounding these DBPs, along with their individual and relative importance and, their possible downstream mechanisms of action to initiate the activation of the HPG axis. On the metabolic side, specific attention is placed on the hypothalamic integration of appetite control with the stimulatory (Gonadotropin Releasing Hormone; GnRH) and inhibitory (Gonadotropin Inhibitory Hormone; GnIH) neuropeptides involved in the control of the HPG axis. Specifically, the impact of orexigenic peptides agouti-related peptide (AgRP), and neuropeptide Y (NPY), as well as the anorexigenic peptides pro-opiomelanocortin (POMC), and cocaine-and amphetamine regulated transcript (CART) is reviewed. Furthermore, beyond hypothalamic control, several metabolic factors involved in the control of body weight and composition are also presented as possible modulators of reproduction at all three levels of the HPG axis. These include peroxisome proliferator-activated receptor gamma (PPAR-γ) for its impact in liver metabolism during the switch from growth to reproduction, adiponectin as a potential modulator of ovarian development and follicular maturation, as well as growth hormone (GH), and leptin (LEP).
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Affiliation(s)
- Charlene Hanlon
- Department of Animal Biosciences, University of Guelph, Guelph, ON, Canada
| | - Ramesh Ramachandran
- Center for Reproductive Biology and Health, Department of Animal Science, Pennsylvania State University, University Park, PA, United States
| | - Martin J. Zuidhof
- Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, AB, Canada
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Praud C, Jimenez J, Pampouille E, Couroussé N, Godet E, Le Bihan-Duval E, Berri C. Molecular Phenotyping of White Striping and Wooden Breast Myopathies in Chicken. Front Physiol 2020; 11:633. [PMID: 32670085 PMCID: PMC7328665 DOI: 10.3389/fphys.2020.00633] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2020] [Accepted: 05/18/2020] [Indexed: 01/10/2023] Open
Abstract
The White Striping (WS) and Wooden Breast (WB) defects are two myopathic syndromes whose occurrence has recently increased in modern fast-growing broilers. The impact of these defects on the quality of breast meat is very important, as they greatly affect its visual aspect, nutritional value, and processing yields. The research conducted to date has improved our knowledge of the biological processes involved in their occurrence, but no solution has been identified so far to significantly reduce their incidence without affecting growing performance of broilers. This study aims to follow the evolution of molecular phenotypes in relation to both fast-growing rate and the occurrence of defects in order to identify potential biomarkers for diagnostic purposes, but also to improve our understanding of physiological dysregulation involved in the occurrence of WS and WB. This has been achieved through enzymatic, histological, and transcriptional approaches by considering breast muscles from a slow- and a fast-growing line, affected or not by WS and WB. Fast-growing muscles produced more reactive oxygen species (ROS) than slow-growing ones, independently of WS and WB occurrence. Within fast-growing muscles, despite higher mitochondria density, muscles affected by WS or WB defects did not show higher cytochrome oxidase activity (COX) activity, suggesting altered mitochondrial function. Among the markers related to muscle remodeling and regeneration, immunohistochemical staining of FN1, NCAM, and MYH15 was higher in fast- compared to slow-growing muscles, and their amount also increased linearly with the presence and severity of WS and WB defects, making them potential biomarkers to assess accurately their presence and severity. Thanks to an innovative histological technique based on fluorescence intensity measurement, they can be rapidly quantified to estimate the injuries induced in case of WS and WB. The muscular expression of several other genes correlates also positively to the presence and severity of the defects like TGFB1 and CTGF, both involved in the development of connective tissue, or Twist1, known as an inhibitor of myogenesis. Finally, our results suggested that a balance between TGFB1 and PPARG would be essential for fibrosis or adiposis induction and therefore for determining WS and WB phenotypes.
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Affiliation(s)
| | | | | | | | - Estelle Godet
- INRAE, Université de Tours, UMR BOA, Nouzilly, France
| | | | - Cecile Berri
- INRAE, Université de Tours, UMR BOA, Nouzilly, France
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Gao Z, Ding R, Zhai X, Wang Y, Chen Y, Yang CX, Du ZQ. Common Gene Modules Identified for Chicken Adiposity by Network Construction and Comparison. Front Genet 2020; 11:537. [PMID: 32547600 PMCID: PMC7272656 DOI: 10.3389/fgene.2020.00537] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2019] [Accepted: 05/04/2020] [Indexed: 12/12/2022] Open
Abstract
Excessive fat deposition can cause chicken health problem, and affect production efficiency by causing great economic losses to the industry. However, the molecular underpinnings of the complex adiposity trait remain elusive. In the current study, we constructed and compared the gene co-expression networks on four transcriptome profiling datasets, from two chicken lines under divergent selection for abdominal fat contents, in an attempt to dissect network compositions underlying adipose tissue growth and development. After functional enrichment analysis, nine network modules important to adipogenesis were discovered to be involved in lipid metabolism, PPAR and insulin signaling pathways, and contained hub genes related to adipogenesis, cell cycle, inflammation, and protein synthesis. Moreover, after additional functional annotation and network module comparisons, common sub-modules of similar functionality for chicken fat deposition were identified for different chicken lines, apart from modules specific to each chicken line. We further validated the lysosome pathway, and found TFEB and its downstream target genes showed similar expression patterns along with chicken preadipocyte differentiation. Our findings could provide novel insights into the genetic basis of complex adiposity traits, as well as human obesity and related metabolic diseases.
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Affiliation(s)
- Zhuoran Gao
- College of Animal Science, Yangtze University, Jingzhou, China.,College of Animal Science and Technology, Northeast Agricultural University, Harbin, China
| | - Ran Ding
- College of Animal Science and Technology, Northeast Agricultural University, Harbin, China
| | - Xiangyun Zhai
- College of Animal Science and Technology, Northeast Agricultural University, Harbin, China
| | - Yuhao Wang
- College of Animal Science and Technology, Northeast Agricultural University, Harbin, China
| | - Yaofeng Chen
- College of Animal Science and Technology, Northeast Agricultural University, Harbin, China
| | - Cai-Xia Yang
- College of Animal Science, Yangtze University, Jingzhou, China.,College of Animal Science and Technology, Northeast Agricultural University, Harbin, China
| | - Zhi-Qiang Du
- College of Animal Science, Yangtze University, Jingzhou, China.,College of Animal Science and Technology, Northeast Agricultural University, Harbin, China
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Transcriptome analyses of liver in newly-hatched chicks during the metabolic perturbation of fasting and re-feeding reveals THRSPA as the key lipogenic transcription factor. BMC Genomics 2020; 21:109. [PMID: 32005146 PMCID: PMC6995218 DOI: 10.1186/s12864-020-6525-0] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2019] [Accepted: 01/22/2020] [Indexed: 12/17/2022] Open
Abstract
Background The fasting-refeeding perturbation has been used extensively to reveal specific genes and metabolic pathways that control energy metabolism in the chicken. Most global transcriptional scans of the fasting-refeeding response in liver have focused on juvenile chickens that were 1, 2 or 4 weeks old. The present study was aimed at the immediate post-hatch period, in which newly-hatched chicks were subjected to fasting for 4, 24 or 48 h, then refed for 4, 24 or 48 h, and compared with a fully-fed control group at each age (D1-D4). Results Visual analysis of hepatic gene expression profiles using hierarchical and K-means clustering showed two distinct patterns, genes with higher expression during fasting and depressed expression upon refeeding and those with an opposing pattern of expression, which exhibit very low expression during fasting and more abundant expression with refeeding. Differentially-expressed genes (DEGs), identified from five prominent pair-wise contrasts of fed, fasted and refed conditions, were subjected to Ingenuity Pathway Analysis. This enabled mapping of analysis-ready (AR)-DEGs to canonical and metabolic pathways controlled by distinct gene interaction networks. The largest number of hepatic DEGs was identified by two contrasts: D2FED48h/D2FAST48h (968 genes) and D2FAST48h/D3REFED24h (1198 genes). The major genes acutely depressed by fasting and elevated upon refeeding included ANGTPL, ATPCL, DIO2, FASN, ME1, SCD, PPARG, SREBP2 and THRSPA—a primary lipogenic transcription factor. In contrast, major lipolytic genes were up-regulated by fasting or down-regulated after refeeding, including ALDOB, IL-15, LDHB, LPIN2, NFE2L2, NR3C1, NR0B1, PANK1, PPARA, SERTAD2 and UPP2. Conclusions Transcriptional profiling of liver during fasting/re-feeding of newly-hatched chicks revealed several highly-expressed upstream regulators, which enable the metabolic switch from fasted (lipolytic/gluconeogenic) to fed or refed (lipogenic/thermogenic) states. This rapid homeorhetic shift of whole-body metabolism from a catabolic-fasting state to an anabolic-fed state appears precisely orchestrated by a small number of ligand-activated transcription factors that provide either a fasting-lipolytic state (PPARA, NR3C1, NFE2L2, SERTAD2, FOX01, NR0B1, RXR) or a fully-fed and refed lipogenic/thermogenic state (THRSPA, SREBF2, PPARG, PPARD, JUN, ATF3, CTNNB1). THRSPA has emerged as the key transcriptional regulator that drives lipogenesis and thermogenesis in hatchling chicks, as shown here in fed and re-fed states.
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Pirany N, Bakrani Balani A, Hassanpour H, Mehraban H. Differential expression of genes implicated in liver lipid metabolism in broiler chickens differing in weight. Br Poult Sci 2019; 61:10-16. [PMID: 31630531 DOI: 10.1080/00071668.2019.1680802] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
Abstract
1. Lipid parameters and expression of ACACA, APOA1, CPT1A, FASN, FOXO1, LIPG, PPARα and SIRT1 genes involved in lipid metabolism were investigated in two groups of high (HW) and low (LW) weight broilers from the same strain.2. Blood cholesterol and liver triglyceride levels were significantly increased in HW chickens compared to LW broilers, while other parameters, i.e. blood triglyceride, blood HDL/LDL, liver cholesterol and total liver fat showed no significant changes in either group.3. The relative expression of ACACA, APOA1 and CPT1A genes was significantly lower in the liver tissues of HW broilers than in the LW group. The mRNA levels of these three genes showed a significant negative correlation with abdominal fat deposition and live weight of broilers. However, relative expression of FASN, FOXO1, LIPG, PPARα and SIRT1 hepatic genes did not differ among broilers.4. It was concluded that, of eight hepatic genes implicated in lipid metabolism, only the expression of three (ACACA, APOA1 and CPT1A) were significant for fat and leanness within the same strain of chicken. Since reducing body fat is a major goal in the broiler industry, these data can provide fresh insight into the molecular processes underlying the regulation of fat deposition in broilers.
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Affiliation(s)
- N Pirany
- Department of Animal Science, Faculty of Agriculture, Shahrekord University, Shahrekord, Iran
| | - A Bakrani Balani
- Department of Animal Science, Faculty of Agriculture, Shahrekord University, Shahrekord, Iran
| | - H Hassanpour
- Department of Basic Sciences, Faculty of Veterinary Medicine, Shahrekord University, Shahrekord, Iran
| | - H Mehraban
- Department of Animal Science, Faculty of Agriculture, Shahrekord University, Shahrekord, Iran
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Chen Y, Zhao Y, Jin W, Li Y, Zhang Y, Ma X, Sun G, Han R, Tian Y, Li H, Kang X, Li G. MicroRNAs and their regulatory networks in Chinese Gushi chicken abdominal adipose tissue during postnatal late development. BMC Genomics 2019; 20:778. [PMID: 31653195 PMCID: PMC6815035 DOI: 10.1186/s12864-019-6094-2] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2019] [Accepted: 09/10/2019] [Indexed: 12/13/2022] Open
Abstract
Background Abdominal fat is the major adipose tissue in chickens. The growth status of abdominal fat during postnatal late development ultimately affects meat yield and quality in chickens. MicroRNAs (miRNAs) are endogenous small noncoding RNAs that regulate gene expression at the post-transcriptional level. Studies have shown that miRNAs play an important role in the biological processes involved in adipose tissue development. However, few studies have investigated miRNA expression profiles and their interaction networks associated with the postnatal late development of abdominal adipose tissue in chickens. Results We constructed four small RNA libraries from abdominal adipose tissue obtained from Chinese domestic Gushi chickens at 6, 14, 22, and 30 weeks. A total of 507 known miRNAs and 53 novel miRNAs were identified based on the four small RNA libraries. Fifty-one significant differentially expressed (SDE) miRNAs were identified from six combinations by comparative analysis, and the expression patterns of these SDE miRNAs were divided into six subclusters by cluster analysis. Gene ontology enrichment analysis showed that the SDE miRNAs were primarily involved in the regulation of fat cell differentiation, regulation of lipid metabolism, regulation of fatty acid metabolism, and unsaturated fatty acid metabolism in the lipid metabolism- or deposition-related biological process categories. In addition, we constructed differentially expressed miRNA–mRNA interaction networks related to abdominal adipose development. The results showed that miRNA families, such as mir-30, mir-34, mir-199, mir-8, and mir-146, may have key roles in lipid metabolism, adipocyte proliferation and differentiation, and cell junctions during abdominal adipose tissue development in chickens. Conclusions This study determined the dynamic miRNA transcriptome and characterized the miRNA–mRNA interaction networks in Gushi chicken abdominal adipose tissue for the first time. The results expanded the number of known miRNAs in abdominal adipose tissue and provide novel insights and a valuable resource to elucidate post-transcriptional regulation mechanisms during postnatal late development of abdominal adipose tissue in chicken.
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Affiliation(s)
- Yi Chen
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zheng zhou, Henan Province, 450002, People's Republic of China
| | - Yinli Zhao
- College of Biological Engineering, Henan University of Technology, Zheng zhou, Henan Province, 450001, People's Republic of China
| | - Wenjiao Jin
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zheng zhou, Henan Province, 450002, People's Republic of China
| | - Yuanfang Li
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zheng zhou, Henan Province, 450002, People's Republic of China
| | - Yanhua Zhang
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zheng zhou, Henan Province, 450002, People's Republic of China
| | - Xuejie Ma
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zheng zhou, Henan Province, 450002, People's Republic of China
| | - Guirong Sun
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zheng zhou, Henan Province, 450002, People's Republic of China
| | - Ruili Han
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zheng zhou, Henan Province, 450002, People's Republic of China
| | - Yadong Tian
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zheng zhou, Henan Province, 450002, People's Republic of China
| | - Hong Li
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zheng zhou, Henan Province, 450002, People's Republic of China
| | - Xiangtao Kang
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zheng zhou, Henan Province, 450002, People's Republic of China
| | - Guoxi Li
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zheng zhou, Henan Province, 450002, People's Republic of China.
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Garneau AP, Marcoux AA, Slimani S, Tremblay LE, Frenette-Cotton R, Mac-Way F, Isenring P. Physiological roles and molecular mechanisms of K + -Cl - cotransport in the mammalian kidney and cardiovascular system: where are we? J Physiol 2019; 597:1451-1465. [PMID: 30659612 DOI: 10.1113/jp276807] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2018] [Accepted: 12/07/2018] [Indexed: 11/08/2022] Open
Abstract
In the early 80s, renal microperfusion studies led to the identification of a basolateral K+ -Cl- cotransport mechanism in the proximal tubule, thick ascending limb of Henle and collecting duct. More than ten years later, this mechanism was found to be accounted for by three different K+ -Cl- cotransporters (KCC1, KCC3 and KCC4) that are differentially distributed along the renal epithelium. Two of these isoforms (KCC1 and KCC3) were also found to be expressed in arterial walls, the myocardium and a variety of neurons. Subsequently, valuable insights have been gained into the molecular and physiological properties of the KCCs in both the mammalian kidney and cardiovascular system. There is now robust evidence indicating that KCC4 sustains distal renal acidification and that KCC3 regulates myogenic tone in resistance vessels. However, progress in understanding the functional significance of these transporters has been slow, probably because each of the KCC isoforms is not identically distributed among species and some of them share common subcellular localizations with other KCC isoforms or sizeable conductive Cl- pathways. In addition, the mechanisms underlying the process of K+ -Cl- cotransport are still ill defined. The present review focuses on the knowledge gained regarding the roles and properties of KCCs in renal and cardiovascular tissues.
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Affiliation(s)
- A P Garneau
- Nephrology Research Group, Department of Medicine, Laval University, 11, côte du Palais, Québec (Qc), Canada, G1R 2J6.,Cardiometabolic Axis, School of Kinesiology and Physical Activity Sciences, Montreal University, 900, rue Saint-Denis, Montréal, (Qc) H2X 0A9
| | - A A Marcoux
- Nephrology Research Group, Department of Medicine, Laval University, 11, côte du Palais, Québec (Qc), Canada, G1R 2J6
| | - S Slimani
- Nephrology Research Group, Department of Medicine, Laval University, 11, côte du Palais, Québec (Qc), Canada, G1R 2J6
| | - L E Tremblay
- Nephrology Research Group, Department of Medicine, Laval University, 11, côte du Palais, Québec (Qc), Canada, G1R 2J6
| | - R Frenette-Cotton
- Nephrology Research Group, Department of Medicine, Laval University, 11, côte du Palais, Québec (Qc), Canada, G1R 2J6
| | - F Mac-Way
- Nephrology Research Group, Department of Medicine, Laval University, 11, côte du Palais, Québec (Qc), Canada, G1R 2J6
| | - P Isenring
- Nephrology Research Group, Department of Medicine, Laval University, 11, côte du Palais, Québec (Qc), Canada, G1R 2J6
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Cui T, Xing T, Huang J, Mu F, Jin Y, You X, Chu Y, Li H, Wang N. Nuclear Respiratory Factor 1 Negatively Regulates the P1 Promoter of the Peroxisome Proliferator-Activated Receptor-γ Gene and Inhibits Chicken Adipogenesis. Front Physiol 2018; 9:1823. [PMID: 30618832 PMCID: PMC6305991 DOI: 10.3389/fphys.2018.01823] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2018] [Accepted: 12/05/2018] [Indexed: 12/31/2022] Open
Abstract
Peroxisome proliferator-activated receptor-γ (PPARγ) is a master regulator of adipogenesis, and alterations in its function are associated with various pathological processes related to metabolic syndrome. Recently, we found that the chicken PPARγ gene is regulated by three alternative promoters (P1, P2 and P3), producing five different transcript isoforms and two protein isoforms. In this study, the P1 promoter structure was characterized. Bioinformatics identified six putative nuclear respiratory factor 1 (NRF1) binding sites in the P1 promoter, and a reporter assay showed that NRF1 inhibited the activity of the P1 promoter. Of the six putative NRF1 binding sites, individual mutations of three of them abolished the inhibitory effect of NRF1 on P1 promoter activity. Furthermore, a ChIP assay indicated that NRF1 directly bound to the P1 promoter, and real-time quantitative RT-PCR analysis showed that NRF1 mRNA expression was negatively correlated with PPARγ1 expression (Pearson’s r = -0.148, p = 0.033). Further study showed that NRF1 overexpression inhibited the differentiation of the immortalized chicken preadipocyte cell line (ICP1), which was accompanied by reduced PPARγ1 mRNA expression. Taken together, our findings indicated that NRF1 directly negatively regulates the P1 promoter of the chicken PPARγ gene and inhibits adipogenesis.
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Affiliation(s)
- Tingting Cui
- Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and Rural Affairs, Harbin, China.,Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department of Heilongjiang Province, Harbin, China.,College of Animal Science and Technology, Northeast Agricultural University, Harbin, China.,Institute of Animal Science of Heilongjiang Province, Qiqihar, China
| | - Tianyu Xing
- Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and Rural Affairs, Harbin, China.,Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department of Heilongjiang Province, Harbin, China.,College of Animal Science and Technology, Northeast Agricultural University, Harbin, China
| | - Jiaxin Huang
- Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and Rural Affairs, Harbin, China.,Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department of Heilongjiang Province, Harbin, China.,College of Animal Science and Technology, Northeast Agricultural University, Harbin, China
| | - Fang Mu
- Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and Rural Affairs, Harbin, China.,Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department of Heilongjiang Province, Harbin, China.,College of Animal Science and Technology, Northeast Agricultural University, Harbin, China
| | - Yanfei Jin
- Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and Rural Affairs, Harbin, China.,Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department of Heilongjiang Province, Harbin, China.,College of Animal Science and Technology, Northeast Agricultural University, Harbin, China
| | - Xin You
- Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and Rural Affairs, Harbin, China.,Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department of Heilongjiang Province, Harbin, China.,College of Animal Science and Technology, Northeast Agricultural University, Harbin, China
| | - Yankai Chu
- Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and Rural Affairs, Harbin, China.,Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department of Heilongjiang Province, Harbin, China.,College of Animal Science and Technology, Northeast Agricultural University, Harbin, China
| | - Hui Li
- Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and Rural Affairs, Harbin, China.,Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department of Heilongjiang Province, Harbin, China.,College of Animal Science and Technology, Northeast Agricultural University, Harbin, China
| | - Ning Wang
- Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and Rural Affairs, Harbin, China.,Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department of Heilongjiang Province, Harbin, China.,College of Animal Science and Technology, Northeast Agricultural University, Harbin, China
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30
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Moreira GCM, Boschiero C, Cesar ASM, Reecy JM, Godoy TF, Pértille F, Ledur MC, Moura ASAMT, Garrick DJ, Coutinho LL. Integration of genome wide association studies and whole genome sequencing provides novel insights into fat deposition in chicken. Sci Rep 2018; 8:16222. [PMID: 30385857 PMCID: PMC6212401 DOI: 10.1038/s41598-018-34364-0] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2018] [Accepted: 10/12/2018] [Indexed: 02/07/2023] Open
Abstract
Excessive fat deposition is a negative factor for poultry production because it reduces feed efficiency, increases the cost of meat production and is a health concern for consumers. We genotyped 497 birds from a Brazilian F2 Chicken Resource Population, using a high-density SNP array (600 K), to estimate the genomic heritability of fat deposition related traits and to identify genomic regions and positional candidate genes (PCGs) associated with these traits. Selection signature regions, haplotype blocks and SNP data from a previous whole genome sequencing study in the founders of this chicken F2 population were used to refine the list of PCGs and to identify potential causative SNPs. We obtained high genomic heritabilities (0.43-0.56) and identified 22 unique QTLs for abdominal fat and carcass fat content traits. These QTLs harbored 26 PCGs involved in biological processes such as fat cell differentiation, insulin and triglyceride levels, and lipid biosynthetic process. Three of these 26 PCGs were located within haplotype blocks there were associated with fat traits, five overlapped with selection signature regions, and 12 contained predicted deleterious variants. The identified QTLs, PCGs and potentially causative SNPs provide new insights into the genetic control of fat deposition and can lead to improved accuracy of selection to reduce excessive fat deposition in chickens.
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Affiliation(s)
| | - Clarissa Boschiero
- Department of Animal Science, University of São Paulo, Piracicaba, SP, Brazil
| | | | - James M Reecy
- Department of Animal Science, Iowa State University, Ames, IA, USA
| | | | - Fábio Pértille
- Department of Animal Science, University of São Paulo, Piracicaba, SP, Brazil
| | | | | | - Dorian J Garrick
- School of Agriculture, Massey University, Ruakura, Hamilton, New Zealand
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31
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Cogburn LA, Trakooljul N, Chen C, Huang H, Wu CH, Carré W, Wang X, White HB. Transcriptional profiling of liver during the critical embryo-to-hatchling transition period in the chicken (Gallus gallus). BMC Genomics 2018; 19:695. [PMID: 30241500 PMCID: PMC6151027 DOI: 10.1186/s12864-018-5080-4] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2018] [Accepted: 09/14/2018] [Indexed: 11/30/2022] Open
Abstract
Background Although hatching is perhaps the most abrupt and profound metabolic challenge that a chicken must undergo; there have been no attempts to functionally map the metabolic pathways induced in liver during the embryo-to-hatchling transition. Furthermore, we know very little about the metabolic and regulatory factors that regulate lipid metabolism in late embryos or newly-hatched chicks. In the present study, we examined hepatic transcriptomes of 12 embryos and 12 hatchling chicks during the peri-hatch period—or the metabolic switch from chorioallantoic to pulmonary respiration. Results Initial hierarchical clustering revealed two distinct, albeit opposing, patterns of hepatic gene expression. Cluster A genes are largely lipolytic and highly expressed in embryos. While, Cluster B genes are lipogenic/thermogenic and mainly controlled by the lipogenic transcription factor THRSPA. Using pairwise comparisons of embryo and hatchling ages, we found 1272 genes that were differentially expressed between embryos and hatchling chicks, including 24 transcription factors and 284 genes that regulate lipid metabolism. The three most differentially-expressed transcripts found in liver of embryos were MOGAT1, DIO3 and PDK4, whereas THRSPA, FASN and DIO2 were highest in hatchlings. An unusual finding was the “ectopic” and extremely high differentially expression of seven feather keratin transcripts in liver of 16 day embryos, which coincides with engorgement of liver with yolk lipids. Gene interaction networks show several transcription factors, transcriptional co-activators/co-inhibitors and their downstream genes that exert a ‘ying-yang’ action on lipid metabolism during the embryo-to-hatching transition. These upstream regulators include ligand-activated transcription factors, sirtuins and Kruppel-like factors. Conclusions Our genome-wide transcriptional analysis has greatly expanded the hepatic repertoire of regulatory and metabolic genes involved in the embryo-to-hatchling transition. New knowledge was gained on interactive transcriptional networks and metabolic pathways that enable the abrupt switch from ectothermy (embryo) to endothermy (hatchling) in the chicken. Several transcription factors and their coactivators/co-inhibitors appear to exert opposing actions on lipid metabolism, leading to the predominance of lipolysis in embryos and lipogenesis in hatchlings. Our analysis of hepatic transcriptomes has enabled discovery of opposing, interconnected and interdependent transcriptional regulators that provide precise ying-yang or homeorhetic regulation of lipid metabolism during the critical embryo-to-hatchling transition. Electronic supplementary material The online version of this article (10.1186/s12864-018-5080-4) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Larry A Cogburn
- Department of Animal and Food Sciences, University of Delaware, Newark, DE, 19716, USA.
| | - Nares Trakooljul
- Department of Animal and Food Sciences, University of Delaware, Newark, DE, 19716, USA.,Present Address: Leibniz Institute for Farm Animal Biology (FBN), Institute for Genome Biology, 18196, Dummerstorf, Germany
| | - Chuming Chen
- Center for Bioinformatics and Computational Biology, University of Delaware, Newark, DE, 19716, USA
| | - Hongzhan Huang
- Center for Bioinformatics and Computational Biology, University of Delaware, Newark, DE, 19716, USA
| | - Cathy H Wu
- Center for Bioinformatics and Computational Biology, University of Delaware, Newark, DE, 19716, USA
| | - Wilfrid Carré
- Department of Animal and Food Sciences, University of Delaware, Newark, DE, 19716, USA.,Laboratoire de Génétique Moléculaire et Génomique, CHU Pontchaillou, 35033, Rennes, France
| | - Xiaofei Wang
- Department of Animal and Food Sciences, University of Delaware, Newark, DE, 19716, USA.,Department of Biological Sciences, Tennessee State University, Nashville, TN, 37209, USA
| | - Harold B White
- Department of Chemistry and Biochemistry, University of Delaware, Newark, DE, 19716, USA
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Sabino M, Cappelli K, Capomaccio S, Pascucci L, Biasato I, Verini-Supplizi A, Valiani A, Trabalza-Marinucci M. Dietary supplementation with olive mill wastewaters induces modifications on chicken jejunum epithelial cell transcriptome and modulates jejunum morphology. BMC Genomics 2018; 19:576. [PMID: 30068314 PMCID: PMC6090849 DOI: 10.1186/s12864-018-4962-9] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2017] [Accepted: 07/26/2018] [Indexed: 01/19/2023] Open
Abstract
BACKGROUND The Mediterranean diet is considered one of the healthier food habits and olive oil is one of its key components. Olive oil polyphenols are known to induce beneficial effects in several pathological conditions, such as inflammatory bowel disease, and to contrast the proliferation of cancer cells or hypercholesterolemia. Polyphenols are also present in waste products derived from the olive industry: olive mill wastewaters (OMWW) are rich in polyphenols and there is an increasing interest in using OMWW in animal nutrition. OMWW are attributed with positive effects in promoting chicken performance and the quality of food-derived products. However, a tissue-specific transcriptome target analysis of chickens fed with OMWW has never been attempted. RESULTS We explored the effect of dietary OMWW on the intestinal function in broilers. A morphological analysis of the jejunum revealed that OMWW reduced crypt depth, whereas no significant modifications were observed for villus height and the villus height/crypt depth ratio. An RNA Sequencing analysis was performed on isolated, intestinal, epithelial cells and 280 differentially expressed genes were found using a count-based approach. An enrichment analysis revealed that the majority of up regulated genes in the OMWW group were over-represented by the regulation of viral genome replication-related GO-Terms, whereas down regulated genes were mainly involved in cholesterol and lipid metabolism. CONCLUSIONS Our study showed how an industrial waste product can be recycled as a feed additive with a positive relapse. OMWW dietary supplementation can be a nutritional strategy to improve chicken performance and health, prevent intestinal damage, enhance innate immunity and regulate cholesterol metabolism and fat deposition.
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Affiliation(s)
- Marcella Sabino
- Department of Veterinary Medicine, University of Perugia, Via San Costanzo 4, 06126 Perugia, Italy
| | - Katia Cappelli
- Department of Veterinary Medicine, University of Perugia, Via San Costanzo 4, 06126 Perugia, Italy
| | - Stefano Capomaccio
- Department of Veterinary Medicine, University of Perugia, Via San Costanzo 4, 06126 Perugia, Italy
| | - Luisa Pascucci
- Department of Veterinary Medicine, University of Perugia, Via San Costanzo 4, 06126 Perugia, Italy
| | - Ilaria Biasato
- Department of Veterinary Sciences, University of Torino, Largo Paolo Braccini 2, 10095 Grugliasco, Italy
| | - Andrea Verini-Supplizi
- Department of Veterinary Medicine, University of Perugia, Via San Costanzo 4, 06126 Perugia, Italy
| | - Andrea Valiani
- Istituto Zooprofilattico Sperimentale dell’Umbria e delle Marche, Via Gaetano Salvemini 1, 06126 Perugia, Italy
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33
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Abdalla BA, Chen J, Nie Q, Zhang X. Genomic Insights Into the Multiple Factors Controlling Abdominal Fat Deposition in a Chicken Model. Front Genet 2018; 9:262. [PMID: 30073018 PMCID: PMC6060281 DOI: 10.3389/fgene.2018.00262] [Citation(s) in RCA: 44] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2018] [Accepted: 06/28/2018] [Indexed: 12/12/2022] Open
Abstract
Genetic selection for an increased growth rate in meat-type chickens has been accompanied by excessive fat accumulation particularly in abdominal cavity. These progressed to indirect and often unhealthy effects on meat quality properties and increased feed cost. Advances in genomics technology over recent years have led to the surprising discoveries that the genome is more complex than previously thought. Studies have identified multiple-genetic factors associated with abdominal fat deposition. Meanwhile, the obesity epidemic has focused attention on adipose tissue and the development of adipocytes. The aim of this review is to summarize the current understanding of genetic/epigenetic factors associated with abdominal fat deposition, or as it relates to the proliferation and differentiation of preadipocytes in chicken. The results discussed here have been identified by different genomic approaches, such as QTL-based studies, the candidate gene approach, epistatic interaction, copy number variation, single-nucleotide polymorphism screening, selection signature analysis, genome-wide association studies, RNA sequencing, and bisulfite sequencing. The studies mentioned in this review have described multiple-genetic factors involved in an abdominal fat deposition. Therefore, it is inevitable to further study the multiple-genetic factors in-depth to develop novel molecular markers or potential targets, which will provide promising applications for reducing abdominal fat deposition in meat-type chicken.
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Affiliation(s)
- Bahareldin A. Abdalla
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou, China
- National-Local Joint Engineering Research Center for Livestock Breeding, The Key Lab of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou, China
- Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, The Key Lab of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou, China
| | - Jie Chen
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou, China
- National-Local Joint Engineering Research Center for Livestock Breeding, The Key Lab of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou, China
- Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, The Key Lab of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou, China
| | - Qinghua Nie
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou, China
- National-Local Joint Engineering Research Center for Livestock Breeding, The Key Lab of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou, China
- Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, The Key Lab of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou, China
| | - Xiquan Zhang
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou, China
- National-Local Joint Engineering Research Center for Livestock Breeding, The Key Lab of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou, China
- Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, The Key Lab of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou, China
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34
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Moreira GCM, Boschiero C, Cesar ASM, Reecy JM, Godoy TF, Trevisoli PA, Cantão ME, Ledur MC, Ibelli AMG, Peixoto JDO, Moura ASAMT, Garrick D, Coutinho LL. A genome-wide association study reveals novel genomic regions and positional candidate genes for fat deposition in broiler chickens. BMC Genomics 2018; 19:374. [PMID: 29783939 PMCID: PMC5963092 DOI: 10.1186/s12864-018-4779-6] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2017] [Accepted: 05/10/2018] [Indexed: 12/21/2022] Open
Abstract
Background Excess fat content in chickens has a negative impact on poultry production. The discovery of QTL associated with fat deposition in the carcass allows the identification of positional candidate genes (PCGs) that might regulate fat deposition and be useful for selection against excess fat content in chicken’s carcass. This study aimed to estimate genomic heritability coefficients and to identify QTLs and PCGs for abdominal fat (ABF) and skin (SKIN) traits in a broiler chicken population, originated from the White Plymouth Rock and White Cornish breeds. Results ABF and SKIN are moderately heritable traits in our broiler population with estimates ranging from 0.23 to 0.33. Using a high density SNP panel (355,027 informative SNPs), we detected nine unique QTLs that were associated with these fat traits. Among these, four QTL were novel, while five have been previously reported in the literature. Thirteen PCGs were identified that might regulate fat deposition in these QTL regions: JDP2, PLCG1, HNF4A, FITM2, ADIPOR1, PTPN11, MVK, APOA1, APOA4, APOA5, ENSGALG00000000477, ENSGALG00000000483, and ENSGALG00000005043. We used sequence information from founder animals to detect 4843 SNPs in the 13 PCGs. Among those, two were classified as potentially deleterious and two as high impact SNPs. Conclusions This study generated novel results that can contribute to a better understanding of fat deposition in chickens. The use of high density array of SNPs increases genome coverage and improves QTL resolution than would have been achieved with low density. The identified PCGs were involved in many biological processes that regulate lipid storage. The SNPs identified in the PCGs, especially those predicted as potentially deleterious and high impact, may affect fat deposition. Validation should be undertaken before using these SNPs for selection against carcass fat accumulation and to improve feed efficiency in broiler chicken production. Electronic supplementary material The online version of this article (10.1186/s12864-018-4779-6) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Gabriel Costa Monteiro Moreira
- Department of Animal Science, University of São Paulo (USP) / Luiz de Queiroz College of Agriculture (ESALQ), Piracicaba, São Paulo, 13418-900, Brazil
| | - Clarissa Boschiero
- Department of Animal Science, University of São Paulo (USP) / Luiz de Queiroz College of Agriculture (ESALQ), Piracicaba, São Paulo, 13418-900, Brazil
| | - Aline Silva Mello Cesar
- Department of Animal Science, University of São Paulo (USP) / Luiz de Queiroz College of Agriculture (ESALQ), Piracicaba, São Paulo, 13418-900, Brazil
| | - James M Reecy
- Department of Animal Science, Iowa State University (ISU), Ames, Iowa, USA
| | - Thaís Fernanda Godoy
- Department of Animal Science, University of São Paulo (USP) / Luiz de Queiroz College of Agriculture (ESALQ), Piracicaba, São Paulo, 13418-900, Brazil
| | - Priscila Anchieta Trevisoli
- Department of Animal Science, University of São Paulo (USP) / Luiz de Queiroz College of Agriculture (ESALQ), Piracicaba, São Paulo, 13418-900, Brazil
| | | | | | | | | | | | - Dorian Garrick
- School of Agriculture, Massey University, Ruakura, Hamilton, New Zealand
| | - Luiz Lehmann Coutinho
- Department of Animal Science, University of São Paulo (USP) / Luiz de Queiroz College of Agriculture (ESALQ), Piracicaba, São Paulo, 13418-900, Brazil.
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Willson NL, Forder REA, Tearle R, Williams JL, Hughes RJ, Nattrass GS, Hynd PI. Transcriptional analysis of liver from chickens with fast (meat bird), moderate (F1 layer x meat bird cross) and low (layer bird) growth potential. BMC Genomics 2018; 19:309. [PMID: 29716547 PMCID: PMC5930858 DOI: 10.1186/s12864-018-4723-9] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2017] [Accepted: 04/24/2018] [Indexed: 01/25/2023] Open
Abstract
Background Divergent selection for meat and egg production in poultry has resulted in strains of birds differing widely in traits related to these products. Modern strains of meat birds can reach live weights of 2 kg in 35 d, while layer strains are now capable of producing more than 300 eggs per annum but grow slowly. In this study, RNA-Seq was used to investigate hepatic gene expression between three groups of birds with large differences in growth potential; meat bird, layer strain as well as an F1 layer x meat bird. The objective was to identify differentially expressed (DE) genes between all three strains to elucidate biological factors underpinning variations in growth performance. Results RNA-Seq analysis was carried out on total RNA extracted from the liver of meat bird (n = 6), F1 layer x meat bird cross (n = 6) and layer strain (n = 6), males. Differential expression of genes were considered significant at P < 0.05, and a false discovery rate of < 0.05, with any fold change considered. In total, 6278 genes were found to be DE with 5832 DE between meat birds and layers (19%), 2935 DE between meat birds and the cross (9.6%) and 493 DE between the cross and layers (1.6%). Comparisons between the three groups identified 155 significant DE genes. Gene ontology (GO) enrichment and Kyoto Encyclopaedia of Genes and Genomes (KEGG) pathway analysis of the 155 DE genes showed the FoxO signalling pathway was most enriched (P = 0.001), including genes related to cell cycle regulation and insulin signalling. Significant GO terms included ‘positive regulation of glucose import’ and ‘cellular response to oxidative stress’, which is also consistent with FoxOs regulation of glucose metabolism. There were high correlations between FoxO pathway genes and bodyweight, as well as genes related to glycolysis and bodyweight. Conclusions This study revealed large transcriptome differences between meat and layer birds. There was significant evidence implicating the FoxO signalling pathway (via cell cycle regulation and altered metabolism) as an active driver of growth variations in chicken. Functional analysis of the FoxO genes is required to understand how they regulate growth and egg production.
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Affiliation(s)
- Nicky-Lee Willson
- School of Animal and Veterinary Sciences, The University of Adelaide, Roseworthy, SA, 5371, Australia. .,Poultry CRC, University of New England, PO Box U242, Armidale, NSW, 2351, Australia. .,Institute for Future Farming Systems, Central Queensland University, Rockhampton, QLD, 4702, Australia.
| | - Rebecca E A Forder
- School of Animal and Veterinary Sciences, The University of Adelaide, Roseworthy, SA, 5371, Australia
| | - Rick Tearle
- Davies Research Centre, School of Animal and Veterinary Sciences, The University of Adelaide, Roseworthy, SA, 5371, Australia
| | - John L Williams
- Davies Research Centre, School of Animal and Veterinary Sciences, The University of Adelaide, Roseworthy, SA, 5371, Australia
| | - Robert J Hughes
- School of Animal and Veterinary Sciences, The University of Adelaide, Roseworthy, SA, 5371, Australia.,South Australian Research and Development Institute (SARDI), Pig and Poultry Production Institute, Roseworthy, SA, 5371, Australia
| | - Greg S Nattrass
- South Australian Research and Development Institute (SARDI), Livestock and Farming Systems, Roseworthy, SA, 5371, Australia
| | - Philip I Hynd
- School of Animal and Veterinary Sciences, The University of Adelaide, Roseworthy, SA, 5371, Australia.,Davies Research Centre, School of Animal and Veterinary Sciences, The University of Adelaide, Roseworthy, SA, 5371, Australia
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Wang S, Zhang Y, Yuan X, Pan R, Yao W, Zhong L, Song Q, Zheng S, Wang Z, Xu Q, Chang G, Chen G. Identification of differentially expressed microRNAs during preadipocyte differentiation in Chinese crested duck. Gene 2018; 661:126-132. [PMID: 29604463 DOI: 10.1016/j.gene.2018.03.085] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2018] [Revised: 03/04/2018] [Accepted: 03/26/2018] [Indexed: 01/19/2023]
Abstract
MicroRNAs (miRNAs) are considered key players in the regulation of a broad range of biological processes. Specifically, miRNAs have been reported to play an important role in the process of adipogenesis. In this study, we constructed a model of adipogenesis by isolating preadipocytes (WCC) derived from adipose tissue and preadipocytes after 72 h differentiation (WCT) in vitro. Deep sequencing of miRNAs expressed in WCT and WCC cells was conducted; we identified 105 differentially expressed miRNA candidates (fifty up-regulated and fifty-five down-regulated). Among them, twelve were novel miRNAs, and ninety-three were previously known miRNAs. Furthermore, seven miRNAs were selected for expression confirmation by reverse transcription quantitative PCR (RT-qPCR); the results showed that the differential expression of miRNAs between the two groups was consistent with our sequencing results. Of them, miR-223, miR-184-3p, and miR-10b-5 showed a strong correlation to adipogenesis. Using target prediction, we predicted that the 105 differentially expressed miRNAs targeted 4155 unique mRNAs. The prediction of targets of differentially expressed miRNAs revealed that the miRNAs participated in the regulation of multiple adipogenesis-related signalling pathways, including the peroxisome proliferator-activated receptor (PPAR) signalling pathway, insulin signalling pathway, fatty acid biosynthesis, and fatty acid degradation. Overall, our findings provide a background for further research into miRNAs and lay a foundation for the prediction and analysis of miRNAs related to adipogenesis.
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Affiliation(s)
- Shasha Wang
- Key Laboratory of Animal Genetics and Breeding and Molecular Design of Jiangsu Province, College of Animal Science and Technology, Yangzhou University, Yangzhou, Jiangsu, China
| | - Yang Zhang
- Key Laboratory of Animal Genetics and Breeding and Molecular Design of Jiangsu Province, College of Animal Science and Technology, Yangzhou University, Yangzhou, Jiangsu, China
| | - Xiaoya Yuan
- Key Laboratory of Animal Genetics and Breeding and Molecular Design of Jiangsu Province, College of Animal Science and Technology, Yangzhou University, Yangzhou, Jiangsu, China
| | - Rui Pan
- Key Laboratory of Animal Genetics and Breeding and Molecular Design of Jiangsu Province, College of Animal Science and Technology, Yangzhou University, Yangzhou, Jiangsu, China
| | - Wencheng Yao
- Key Laboratory of Animal Genetics and Breeding and Molecular Design of Jiangsu Province, College of Animal Science and Technology, Yangzhou University, Yangzhou, Jiangsu, China
| | - Li Zhong
- Key Laboratory of Animal Genetics and Breeding and Molecular Design of Jiangsu Province, College of Animal Science and Technology, Yangzhou University, Yangzhou, Jiangsu, China
| | | | - Shenghan Zheng
- Key Laboratory of Animal Genetics and Breeding and Molecular Design of Jiangsu Province, College of Animal Science and Technology, Yangzhou University, Yangzhou, Jiangsu, China
| | - Zhixiu Wang
- Key Laboratory of Animal Genetics and Breeding and Molecular Design of Jiangsu Province, College of Animal Science and Technology, Yangzhou University, Yangzhou, Jiangsu, China
| | - Qi Xu
- Key Laboratory of Animal Genetics and Breeding and Molecular Design of Jiangsu Province, College of Animal Science and Technology, Yangzhou University, Yangzhou, Jiangsu, China
| | - Guobin Chang
- Key Laboratory of Animal Genetics and Breeding and Molecular Design of Jiangsu Province, College of Animal Science and Technology, Yangzhou University, Yangzhou, Jiangsu, China
| | - Guohong Chen
- Key Laboratory of Animal Genetics and Breeding and Molecular Design of Jiangsu Province, College of Animal Science and Technology, Yangzhou University, Yangzhou, Jiangsu, China.
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Cogburn LA, Smarsh DN, Wang X, Trakooljul N, Carré W, White HB. Transcriptional profiling of liver in riboflavin-deficient chicken embryos explains impaired lipid utilization, energy depletion, massive hemorrhaging, and delayed feathering. BMC Genomics 2018; 19:177. [PMID: 29506485 PMCID: PMC5836443 DOI: 10.1186/s12864-018-4568-2] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2017] [Accepted: 02/22/2018] [Indexed: 12/30/2022] Open
Abstract
BACKGROUND A strain of Leghorn chickens (rd/rd), unable to produce a functional riboflavin-binding protein, lays riboflavin-deficient eggs, in which all embryos suddenly die at mid-incubation (days 13-15). This malady, caused by riboflavin deficiency, leads to excessive lipid accumulation in liver, impaired β-oxidation of lipid, and severe hypoglycemia prior to death. We have used high-density chicken microarrays for time-course transcriptional scans of liver in chicken embryos between days 9-15 during this riboflavin-deficiency-induced metabolic catastrophe. For comparison, half of rd/rd embryos (n = 16) were rescued from this calamity by injection of riboflavin just prior to incubation of fertile eggs from rd/rd hens. RESULTS No significant differences were found between hepatic transcriptomes of riboflavin-deficient and riboflavin-rescued embryos at the first two ages (days 9 and 11). Overall, we found a 3.2-fold increase in the number of differentially expressed hepatic genes between day 13 (231 genes) and day 15 (734 genes). Higher expression of genes encoding the chicken flavoproteome was more evident in rescued- (15 genes) than in deficient-embryos (4 genes) at day 15. Diminished activity of flavin-dependent enzymes in riboflavin-deficient embryos blocks catabolism of yolk lipids, which normally serves as the predominant source of energy required for embryonic development. CONCLUSIONS Riboflavin deficiency in mid-stage embryos leads to reduced expression of numerous genes controlling critical functions, including β-oxidation of lipids, blood coagulation and feathering. Surprisingly, reduced expression of feather keratin 1 was found in liver of riboflavin-deficient embryos at e15, which could be related to their delayed feathering and sparse clubbed down. A large number of genes are expressed at higher levels in liver of riboflavin-deficient embryos; these up-regulated genes control lipid storage/transport, gluconeogenesis, ketogenesis, protein catabolism/ubiquitination and cell death.
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Affiliation(s)
- Larry A. Cogburn
- Department of Animal and Food Sciences, University of Delaware, Newark, DE 19716 USA
| | - Danielle N. Smarsh
- Department of Animal and Food Sciences, University of Delaware, Newark, DE 19716 USA
- Present Address: Department of Animal Science, The Pennsylvania State University, University Park, PA 16802 USA
| | - Xiaofei Wang
- Department of Animal and Food Sciences, University of Delaware, Newark, DE 19716 USA
- Present Address: Department of Biological Sciences, Tennessee State University, Nashville, TN 37209 USA
| | - Nares Trakooljul
- Department of Animal and Food Sciences, University of Delaware, Newark, DE 19716 USA
- Present Address: Leibniz Institute for Farm Animal Biology (FBN), Institute for Genome Biology, Wilhelm-Stahl-Allee 2, 18196 Dummerstorf, Germany
| | - Wilfrid Carré
- Department of Animal and Food Sciences, University of Delaware, Newark, DE 19716 USA
- Present Address: Laboratoire de Génétique Moléculaire et Génomique, CHU Pontchaillou, 35033 Rennes, France
| | - Harold B. White
- Department of Chemistry and Biochemistry, University of Delaware, Newark, DE 19716 USA
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Effect of different levels of feed restriction and fish oil fatty acid supplementation on fat deposition by using different techniques, plasma levels and mRNA expression of several adipokines in broiler breeder hens. PLoS One 2018; 13:e0191121. [PMID: 29364913 PMCID: PMC5783386 DOI: 10.1371/journal.pone.0191121] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2017] [Accepted: 12/28/2017] [Indexed: 12/17/2022] Open
Abstract
Background Reproductive hens are subjected to a restricted diet to limit the decline in fertility associated with change in body mass. However, endocrine and tissue responses to diet restriction need to be documented. Objective We evaluated the effect of different levels of feed restriction, with or without fish oil supplementation, on metabolic parameters and adipokine levels in plasma and metabolic tissues of reproductive hens. Methods We designed an in vivo protocol involving 4 groups of hens; RNS: restricted (Rt) unsupplemented, ANS: ad libitum (Ad, receiving an amount of feed 1.7 times greater than animals on the restricted diet) unsupplemented, RS: Rt supplemented, and AS: Ad supplemented. The fish oil supplement was used at 1% of the total diet composition. Results Hens fed with the Rt diet had a significantly (P < 0.0001) lower growth than Ad hens, while the fish oil supplementation had no effect on these parameters. Furthermore, the bioelectrical impedance analysis (BIA) and the fat ultrasonographic examinations produced similar results to the other methods that required animals to be killed (carcass analysis and weight of adipose tissue). In addition, the Rt diet significantly (P < 0.05) decreased plasma levels of triglycerides, phospholipids, glucose and ADIPOQ, and fish oil supplementation decreased plasma levels of RARRES2. We also showed a positive correlation between insulin values and ADIPOQ or NAMPT or RARRES2 values, and a negative correlation of fat percentage to RARRES2 values. Moreover, the effects of the Rt diet and fish oil supplementation on the mRNA expression depended on the factors tested and the hen age. Conclusions Rt diet and fish oil supplementation are able to modulate metabolic parameters and the expression of adipokines and their receptors in metabolic tissue.
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Mellouk N, Ramé C, Barbe A, Grandhaye J, Froment P, Dupont J. Chicken Is a Useful Model to Investigate the Role of Adipokines in Metabolic and Reproductive Diseases. Int J Endocrinol 2018; 2018:4579734. [PMID: 30018639 PMCID: PMC6029501 DOI: 10.1155/2018/4579734] [Citation(s) in RCA: 31] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/15/2018] [Accepted: 05/16/2018] [Indexed: 01/04/2023] Open
Abstract
Reproduction is a complex and essential physiological process required by all species to produce a new generation. This process involves strict hormonal regulation, depending on a connection between the hypothalamus-pituitary-gonadal axis and peripheral organs. Metabolic homeostasis influences the reproductive functions, and its alteration leads to disturbances in the reproductive functions of humans as well as animals. For a long time, adipose tissue has been recognised as an endocrine organ but its ability to secrete and release hormones called adipokines is now emerging. Adipokines have been found to play a major role in the regulation of metabolic and reproductive processes at both central and peripheral levels. Leptin was initially the first adipokine that has been described to be the most involved in the metabolism/reproduction interrelation in mammals. In avian species, the role of leptin is still under debate. Recently, three novel adipokines have been discovered: adiponectin (ADIPOQ, ACRP30), visfatin (NAMPT, PBEF), and chemerin (RARRES2, TIG2). However, their mode of action between mammalian and nonmammalian species is different due to the different reproductive and metabolic systems. Herein, we will provide an overview of the structure and function related to metabolic and reproductive mechanisms of the latter three adipokines with emphasis on avian species.
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Affiliation(s)
- Namya Mellouk
- INRA, UMR 85 Physiologie de la Reproduction et des Comportements, 37380 Nouzilly, France
| | - Christelle Ramé
- INRA, UMR 85 Physiologie de la Reproduction et des Comportements, 37380 Nouzilly, France
| | - Alix Barbe
- INRA, UMR 85 Physiologie de la Reproduction et des Comportements, 37380 Nouzilly, France
| | - Jérémy Grandhaye
- INRA, UMR 85 Physiologie de la Reproduction et des Comportements, 37380 Nouzilly, France
| | - Pascal Froment
- INRA, UMR 85 Physiologie de la Reproduction et des Comportements, 37380 Nouzilly, France
| | - Joëlle Dupont
- INRA, UMR 85 Physiologie de la Reproduction et des Comportements, 37380 Nouzilly, France
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Sabino M, Capomaccio S, Cappelli K, Verini-Supplizi A, Bomba L, Ajmone-Marsan P, Cobellis G, Olivieri O, Pieramati C, Trabalza-Marinucci M. Oregano dietary supplementation modifies the liver transcriptome profile in broilers: RNASeq analysis. Res Vet Sci 2017; 117:85-91. [PMID: 29197252 DOI: 10.1016/j.rvsc.2017.11.009] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2017] [Revised: 11/17/2017] [Accepted: 11/18/2017] [Indexed: 12/20/2022]
Abstract
Intensive farming of broilers involves stressful conditions that reduce animal welfare and performance. New dietary strategies to improve performance and meat quality include the administration of plant extracts. Oregano (Origanum vulgare L.) is known for its antimicrobial, anti-fungal, insecticidal and antioxidant properties. However, studies on diet supplementation with oregano are mainly focused on the evaluation of animal performance, while partial information is available on transcriptomics and nutrigenomics and, in particular, Next Generation Sequencing (NGS) is not widely applied. In this study we tested the effect of an oregano aqueous extract supplemented diet on gene expression in broiler chickens. Whole liver transcriptome of 10 birds fed with a supplemented diet versus 10 controls was analyzed using the RNA-Seq technique. One hundred and twenty-nine genes were differentially expressed with an absolute log fold change >1. The analysis reveals a massive down-regulation of genes involved in fatty acid metabolism and insulin signaling pathways in broilers fed with the oregano aqueous extract supplementation. Down-regulated genes could be associated to chicken lean line, suggesting the potential beneficial effect of oregano supplementation in reducing both abdominal and visceral fat deposition. Down-regulation of insulin signaling pathway related genes suggest that dietary oregano supplementation might be an option in obesity and diabetes conditions.
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Affiliation(s)
- Marcella Sabino
- Dipartimento di Medicina Veterinaria, Università degli Studi di Perugia, Via San Costanzo, 4, 06126 Perugia, Italy
| | - Stefano Capomaccio
- Dipartimento di Medicina Veterinaria, Università degli Studi di Perugia, Via San Costanzo, 4, 06126 Perugia, Italy
| | - Katia Cappelli
- Dipartimento di Medicina Veterinaria, Università degli Studi di Perugia, Via San Costanzo, 4, 06126 Perugia, Italy
| | - Andrea Verini-Supplizi
- Dipartimento di Medicina Veterinaria, Università degli Studi di Perugia, Via San Costanzo, 4, 06126 Perugia, Italy.
| | - Lorenzo Bomba
- Wellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SA, UK
| | - Paolo Ajmone-Marsan
- Istituto di Zootecnica, Università Cattolica del Sacro Cuore, Via Emilia Parmense, 84, 29122 Piacenza, Italy
| | - Gabriella Cobellis
- Dipartimento di Medicina Veterinaria, Università degli Studi di Perugia, Via San Costanzo, 4, 06126 Perugia, Italy
| | - Oliviero Olivieri
- Dipartimento di Medicina Veterinaria, Università degli Studi di Perugia, Via San Costanzo, 4, 06126 Perugia, Italy
| | - Camillo Pieramati
- Dipartimento di Medicina Veterinaria, Università degli Studi di Perugia, Via San Costanzo, 4, 06126 Perugia, Italy
| | - Massimo Trabalza-Marinucci
- Dipartimento di Medicina Veterinaria, Università degli Studi di Perugia, Via San Costanzo, 4, 06126 Perugia, Italy
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41
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Resnyk CW, Carré W, Wang X, Porter TE, Simon J, Le Bihan-Duval E, Duclos MJ, Aggrey SE, Cogburn LA. Transcriptional analysis of abdominal fat in chickens divergently selected on bodyweight at two ages reveals novel mechanisms controlling adiposity: validating visceral adipose tissue as a dynamic endocrine and metabolic organ. BMC Genomics 2017; 18:626. [PMID: 28814270 PMCID: PMC5559791 DOI: 10.1186/s12864-017-4035-5] [Citation(s) in RCA: 35] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2016] [Accepted: 08/08/2017] [Indexed: 11/10/2022] Open
Abstract
Background Decades of intensive genetic selection in the domestic chicken (Gallus gallus domesticus) have enabled the remarkable rapid growth of today’s broiler (meat-type) chickens. However, this enhanced growth rate was accompanied by several unfavorable traits (i.e., increased visceral fatness, leg weakness, and disorders of metabolism and reproduction). The present descriptive analysis of the abdominal fat transcriptome aimed to identify functional genes and biological pathways that likely contribute to an extreme difference in visceral fatness of divergently selected broiler chickens. Methods We used the Del-Mar 14 K Chicken Integrated Systems microarray to take time-course snapshots of global gene transcription in abdominal fat of juvenile [1-11 weeks of age (wk)] chickens divergently selected on bodyweight at two ages (8 and 36 wk). Further, a RNA sequencing analysis was completed on the same abdominal fat samples taken from high-growth (HG) and low-growth (LG) cockerels at 7 wk, the age with the greatest divergence in body weight (3.2-fold) and visceral fatness (19.6-fold). Results Time-course microarray analysis revealed 312 differentially expressed genes (FDR ≤ 0.05) as the main effect of genotype (HG versus LG), 718 genes in the interaction of age and genotype, and 2918 genes as the main effect of age. The RNA sequencing analysis identified 2410 differentially expressed genes in abdominal fat of HG versus LG chickens at 7 wk. The HG chickens are fatter and over-express numerous genes that support higher rates of visceral adipogenesis and lipogenesis. In abdominal fat of LG chickens, we found higher expression of many genes involved in hemostasis, energy catabolism and endocrine signaling, which likely contribute to their leaner phenotype and slower growth. Many transcription factors and their direct target genes identified in HG and LG chickens could be involved in their divergence in adiposity and growth rate. Conclusions The present analyses of the visceral fat transcriptome in chickens divergently selected for a large difference in growth rate and abdominal fatness clearly demonstrate that abdominal fat is a very dynamic metabolic and endocrine organ in the chicken. The HG chickens overexpress many transcription factors and their direct target genes, which should enhance in situ lipogenesis and ultimately adiposity. Our observation of enhanced expression of hemostasis and endocrine-signaling genes in diminished abdominal fat of LG cockerels provides insight into genetic mechanisms involved in divergence of abdominal fatness and somatic growth in avian and perhaps mammalian species, including humans. Electronic supplementary material The online version of this article (doi:10.1186/s12864-017-4035-5) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- C W Resnyk
- Department of Animal and Food Sciences, University of Delaware, Newark, DE, 19716, USA
| | - W Carré
- Department of Animal and Food Sciences, University of Delaware, Newark, DE, 19716, USA.,Laboratoire de Génétique Moléculaire et Génomique, CHU Pontchaillou, 35033, Rennes, France
| | - X Wang
- Department of Animal and Food Sciences, University of Delaware, Newark, DE, 19716, USA.,Department of Biological Sciences, Tennessee State University, Nashville, TN, 37209, USA
| | - T E Porter
- Department of Animal and Avian Sciences, University of Maryland, College Park, MD, 20742, USA
| | - J Simon
- UR83 Recherches Avicoles, Institut National de la Recherche Agronomique (INRA), F-37380, Nouzilly, France
| | - E Le Bihan-Duval
- UR83 Recherches Avicoles, Institut National de la Recherche Agronomique (INRA), F-37380, Nouzilly, France
| | - M J Duclos
- UR83 Recherches Avicoles, Institut National de la Recherche Agronomique (INRA), F-37380, Nouzilly, France
| | - S E Aggrey
- Department of Poultry Science, University of Georgia, Athens, GA, 30602, USA
| | - L A Cogburn
- Department of Animal and Food Sciences, University of Delaware, Newark, DE, 19716, USA.
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Zhang J, Li X, Zhou Y, Cui L, Li J, Wu C, Wan Y, Li J, Wang Y. The interaction of MC3R and MC4R with MRAP2, ACTH, α-MSH and AgRP in chickens. J Endocrinol 2017; 234:155-174. [PMID: 28512117 DOI: 10.1530/joe-17-0131] [Citation(s) in RCA: 44] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/10/2017] [Accepted: 05/15/2017] [Indexed: 02/05/2023]
Abstract
The interaction of melanocortin-4 (MC4R) and melanocortin-3 (MC3R) receptors with proopiomelanocortin (POMC)-derived peptides (e.g. α-MSH), agouti-related protein (AgRP) and melanocortin-2 receptor accessory protein 2 (MRAP2) is suggested to play critical roles in energy balance of vertebrates. However, evidence on their interaction in birds remains scarce. Our study aims to reveal their interaction in chickens and the results showed that (1) chicken (c-)MC3R and cMC4R expressed in Chinese hamster ovary (CHO) cells can be activated by α-MSH and ACTH1-39 equipotently, monitored by a pGL3-CRE-luciferase reporter system; (2) cMC3R and cMC4R, when co-expressed with cMRAP2 (or cMRAP, a cMRAP2 homolog), show increased sensitivity to ACTH treatment and thus likely act as ACTH-preferring receptors, and the interaction between cMC3R/cMC4R and cMRAP2 was demonstrated by co-immunoprecipitation assay; (3) both cMC3R and cMC4R display constitutive activity when expressed in CHO cells, as monitored by dual-luciferase reporter assay, and cMRAP2 (and cMRAP) can modulate their constitutive activity; (4) AgRP inhibits the constitutive activity of cMC3R/cMC4R, and it also antagonizes ACTH/α-MSH action on cMC4R/cMC3R, indicating that AgRP functions as the inverse agonist and antagonist for both receptors. These findings, together with the co-expression of cMC4R, cMC3R, cMRAP2, cAgRP and cPOMC in chicken hypothalamus detected by quantitative real-time PCR, suggest that within the hypothalamus, α-MSH/ACTH, AgRP and MRAP2 may interact at the MC4R(/MC3R) interface to control energy balance. Furthermore, our data provide novel proof for the involvement of MRAP2 (and MRAP) in fine-tuning the constitutive activity and ligand sensitivity and selectivity of both MC3R and MC4R in vertebrates.
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MESH Headings
- Adrenocorticotropic Hormone/genetics
- Adrenocorticotropic Hormone/metabolism
- Agouti-Related Protein/genetics
- Agouti-Related Protein/metabolism
- Amino Acid Sequence
- Animals
- CHO Cells
- Carrier Proteins/genetics
- Carrier Proteins/metabolism
- Chickens/genetics
- Chickens/metabolism
- Cloning, Molecular
- Cricetinae
- Cricetulus
- DNA, Complementary
- Gene Expression Regulation/physiology
- Receptor, Melanocortin, Type 3/genetics
- Receptor, Melanocortin, Type 3/metabolism
- Receptor, Melanocortin, Type 4/genetics
- Receptor, Melanocortin, Type 4/metabolism
- alpha-MSH/genetics
- alpha-MSH/metabolism
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Affiliation(s)
- Jiannan Zhang
- Key Laboratory of Bio-resources and Eco-environment of Ministry of EducationCollege of Life Sciences, Sichuan University, Chengdu, People's Republic of China
| | - Xin Li
- Key Laboratory of Bio-resources and Eco-environment of Ministry of EducationCollege of Life Sciences, Sichuan University, Chengdu, People's Republic of China
| | - Yawei Zhou
- Key Laboratory of Bio-resources and Eco-environment of Ministry of EducationCollege of Life Sciences, Sichuan University, Chengdu, People's Republic of China
| | - Lin Cui
- Key Laboratory of Bio-resources and Eco-environment of Ministry of EducationCollege of Life Sciences, Sichuan University, Chengdu, People's Republic of China
| | - Jing Li
- Key Laboratory of Bio-resources and Eco-environment of Ministry of EducationCollege of Life Sciences, Sichuan University, Chengdu, People's Republic of China
| | - Chenlei Wu
- Key Laboratory of Bio-resources and Eco-environment of Ministry of EducationCollege of Life Sciences, Sichuan University, Chengdu, People's Republic of China
| | - Yiping Wan
- Key Laboratory of Bio-resources and Eco-environment of Ministry of EducationCollege of Life Sciences, Sichuan University, Chengdu, People's Republic of China
| | - Juan Li
- Key Laboratory of Bio-resources and Eco-environment of Ministry of EducationCollege of Life Sciences, Sichuan University, Chengdu, People's Republic of China
| | - Yajun Wang
- Key Laboratory of Bio-resources and Eco-environment of Ministry of EducationCollege of Life Sciences, Sichuan University, Chengdu, People's Republic of China
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Bassano I, Ong SH, Lawless N, Whitehead T, Fife M, Kellam P. Accurate characterization of the IFITM locus using MiSeq and PacBio sequencing shows genetic variation in Galliformes. BMC Genomics 2017; 18:419. [PMID: 28558694 PMCID: PMC5450142 DOI: 10.1186/s12864-017-3801-8] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2016] [Accepted: 05/16/2017] [Indexed: 01/16/2023] Open
Abstract
Background Interferon inducible transmembrane (IFITM) proteins are effectors of the immune system widely characterized for their role in restricting infection by diverse enveloped and non-enveloped viruses. The chicken IFITM (chIFITM) genes are clustered on chromosome 5 and to date four genes have been annotated, namely chIFITM1, chIFITM3, chIFITM5 and chIFITM10. However, due to poor assembly of this locus in the Gallus Gallus v4 genome, accurate characterization has so far proven problematic. Recently, a new chicken reference genome assembly Gallus Gallus v5 was generated using Sanger, 454, Illumina and PacBio sequencing technologies identifying considerable differences in the chIFITM locus over the previous genome releases. Methods We re-sequenced the locus using both Illumina MiSeq and PacBio RS II sequencing technologies and we mapped RNA-seq data from the European Nucleotide Archive (ENA) to this finalized chIFITM locus. Using SureSelect probes capture probes designed to the finalized chIFITM locus, we sequenced the locus of a different chicken breed, namely a White Leghorn, and a turkey. Results We confirmed the Gallus Gallus v5 consensus except for two insertions of 5 and 1 base pair within the chIFITM3 and B4GALNT4 genes, respectively, and a single base pair deletion within the B4GALNT4 gene. The pull down revealed a single amino acid substitution of A63V in the CIL domain of IFITM2 compared to Red Jungle fowl and 13, 13 and 11 differences between IFITM1, 2 and 3 of chickens and turkeys, respectively. RNA-seq shows chIFITM2 and chIFITM3 expression in numerous tissue types of different chicken breeds and avian cell lines, while the expression of the putative chIFITM1 is limited to the testis, caecum and ileum tissues. Conclusions Locus resequencing using these capture probes and RNA-seq based expression analysis will allow the further characterization of genetic diversity within Galliformes. Electronic supplementary material The online version of this article (doi:10.1186/s12864-017-3801-8) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Irene Bassano
- The Wellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, CB10 1SA, UK.,Division of Infectious Diseases, Department of Medicine, Imperial College Faculty of Medicine, Wright Fleming Wing, St Mary's Campus, Norfolk Place, London, W2 1PG, UK
| | - Swee Hoe Ong
- The Wellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, CB10 1SA, UK
| | - Nathan Lawless
- The Pirbright Institute, Pirbright Laboratory, Ash Road, Woking, GU24 0NF, UK
| | - Thomas Whitehead
- The Pirbright Institute, Pirbright Laboratory, Ash Road, Woking, GU24 0NF, UK
| | - Mark Fife
- The Pirbright Institute, Pirbright Laboratory, Ash Road, Woking, GU24 0NF, UK
| | - Paul Kellam
- The Wellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, CB10 1SA, UK. .,Division of Infectious Diseases, Department of Medicine, Imperial College Faculty of Medicine, Wright Fleming Wing, St Mary's Campus, Norfolk Place, London, W2 1PG, UK.
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Duarte JLG, Cantet RJC, Rubio YLB, Bates RO, Ernst CW, Raney NE, Rogberg-Muñoz A, Steibel JP. Refining genomewide association for growth and fat deposition traits in an F pig population. J Anim Sci 2017; 94:1387-97. [PMID: 27135998 DOI: 10.2527/jas.2015-0182] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023] Open
Abstract
The identification of genomic regions that affect additive genetic variation and contain genes involved in controlling growth and fat deposition has enormous impact in the farm animal industry (e.g., carcass merit and meat quality). Therefore, a genomewide association study was implemented in an F pig population using a 60,000 SNP marker panel for traits related to growth and fat deposition. Estimated genomic EBV were linearly transformed to calculate SNP effects and to identify genomic positions possibly associated with the genetic variability of each trait. Genomic segments were then defined considering the markers included in a region 1 Mb up- and downstream from the SNP with the smallest -value and a false discovery rate < 0.05 for each trait. The significance for each 2-Mb segment was tested using the Bonferroni correction. Significant SNP were detected on SSC2, SSC3, SSC5, and SSC6, but 2-Mb segment significant effects were observed on SSC3 for weight at birth (wt_birth) and on SSC6 for 10th-rib backfat and last-rib backfat measured by ultrasound at different ages. Furthermore, a 6-Mb segment on SSC6 was also considered because the 2-Mb segments for 10 different fat deposition traits were overlapped. Although the segment effects for each trait remain significant, the proportion of additive variance explained by this larger segment was slightly smaller in some traits. In general, the results confirm the presence of genetic variability for wt_birth on SSC3 (18.0-20.2 Mb) and for fat deposition traits on SSC6 (133.8-136.0 Mb). Within these regions, fibrosin () and myosin light chain, phosphorylatable, fast skeletal muscle () genes could be considered as candidates for the wt_birth signal on SSC3, and the SERPINE1 mRNAbinding protein 1 gene () may be a candidate for the fat deposition trait signals on SSC6.
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Stainton JJ, Charlesworth B, Haley CS, Kranis A, Watson K, Wiener P. Use of high-density SNP data to identify patterns of diversity and signatures of selection in broiler chickens. J Anim Breed Genet 2017; 134:87-97. [PMID: 27349343 PMCID: PMC5363361 DOI: 10.1111/jbg.12228] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2016] [Accepted: 05/24/2016] [Indexed: 12/17/2022]
Abstract
The development of broiler chickens over the last 70 years has been accompanied by large phenotypic changes, so that the resulting genomic signatures of selection should be detectable by current statistical techniques with sufficiently dense genetic markers. Using two approaches, this study analysed high-density SNP data from a broiler chicken line to detect low-diversity genomic regions characteristic of past selection. Seven regions with zero diversity were identified across the genome. Most of these were very small and did not contain many genes. In addition, fifteen regions were identified with diversity increasing asymptotically from a low level. These regions were larger and thus generally included more genes. Several candidate genes for broiler traits were found within these 'regression regions', including IGF1, GPD2 and MTNR1AI. The results suggest that the identification of zero-diversity regions is too restrictive for characterizing regions under selection, but that regions showing patterns of diversity along the chromosome that are consistent with selective sweeps contain a number of genes that are functional candidates for involvement in broiler development. Many regions identified in this study overlap or are close to regions identified in layer chicken populations, possibly due to their shared precommercialization history or to shared selection pressures between broilers and layers.
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Affiliation(s)
- J J Stainton
- The Roslin Institute and R(D)SVS, University of Edinburgh, Edinburgh, UK
| | - B Charlesworth
- Institute of Evolutionary Biology, School of Biological Sciences, University of Edinburgh, Edinburgh, UK
| | - C S Haley
- The Roslin Institute and R(D)SVS, University of Edinburgh, Edinburgh, UK.,MRC Human Genetics Unit, MRC IGMM, University of Edinburgh, Edinburgh, UK
| | - A Kranis
- The Roslin Institute and R(D)SVS, University of Edinburgh, Edinburgh, UK.,Aviagen Ltd, Edinburgh, UK
| | | | - P Wiener
- The Roslin Institute and R(D)SVS, University of Edinburgh, Edinburgh, UK
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Genome-Wide Analysis of lncRNA and mRNA Expression During Differentiation of Abdominal Preadipocytes in the Chicken. G3-GENES GENOMES GENETICS 2017; 7:953-966. [PMID: 28108554 PMCID: PMC5345725 DOI: 10.1534/g3.116.037069] [Citation(s) in RCA: 47] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
Long noncoding RNAs (lncRNAs) regulate adipogenesis and other processes associated with metabolic tissue development and function. However, little is known about the function and profile of lncRNAs during preadipocyte differentiation in the chicken (Gallus gallus). Herein, lncRNA and mRNA expression in preadipocytes at different stages of differentiation were analyzed using RNA sequencing. A total of 1,300,074,528 clean reads and 27,023 novel lncRNAs were obtained from 12 samples. The number of genes (1336 lncRNAs and 1759 mRNAs; 3095 in total) differentially expressed across various stages declined as differentiation progressed. Differentially expressed genes were found to be involved in several pathways related to preadipocyte differentiation that have been extensively studied, including glycerolipid metabolism, and the mammalian target of rapamycin, peroxisome proliferator-activated receptor, and mitogen-activated protein kinase signaling pathways. To our knowledge, some pathways are being reported for the first time, including the propanoate metabolism, fatty acid metabolism, and oxidative phosphorylation pathways. Furthermore, 3095 differentially expressed genes were clustered into eight clusters, and their expression patterns were determined through K-means clustering. Genes involved in the K2 cluster likely play important roles in preadipocyte differentiation. Six stage-specific modules related to A0 (day 0), A2 (day 2), and A6 (day 6) stages were identified, using weighted coexpression network analysis. Nine central, highly connected .genes in stage-specific modules were subsequently identified, including XLOC_068731, XLOC_022661, XLOC_045161, XLOC_070302, CHD6, LLGL1, NEURL1B, KLHL38, and ACTR6. This study provides a valuable resource for further study of chicken lncRNA and facilitates a better understanding of preadipocyte differentiation in the chicken
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Buzala M, Słomka A, Janicki B, Ponczek M, Żekanowska E. Review: The mechanism of blood coagulation, its disorders and measurement in poultry. Livest Sci 2017. [DOI: 10.1016/j.livsci.2016.11.009] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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Yin F, Yu H, Lepp D, Shi X, Yang X, Hu J, Leeson S, Yang C, Nie S, Hou Y, Gong J. Transcriptome Analysis Reveals Regulation of Gene Expression for Lipid Catabolism in Young Broilers by Butyrate Glycerides. PLoS One 2016; 11:e0160751. [PMID: 27508934 PMCID: PMC4979964 DOI: 10.1371/journal.pone.0160751] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2016] [Accepted: 07/25/2016] [Indexed: 01/04/2023] Open
Abstract
BACKGROUND & AIMS Butyrate has been shown to potently regulate energy expenditure and lipid metabolism in animals, yet the underlying mechanisms remain to be fully understood. The aim of this study was to investigate the molecular mechanisms of butyrate (in the form of butyrate glycerides, BG)-induced lipid metabolism at the level of gene expression in the jejunum and liver of broilers. METHODOLOGY/PRINCIPAL FINDINGS Two animal experiments were included in this study. In Experiment 1, two hundred and forty male broiler chickens were equally allocated into two groups: 1) basal diet (BD), 2) BG diets (BD + BG). Growth performance was compared between treatments for the 41-day trial. In Experiment 2, forty male broiler chickens were equally allocated into two groups. The general experimental design, group and management were the same as described in Experiment 1 except for reduced bird numbers and 21-day duration of the trial. Growth performance, abdominal fat deposition, serum lipid profiles as well as serum and tissue concentrations of key enzymes involved in lipid metabolism were compared between treatments. RNA-seq was employed to identify both differentially expressed genes (DEGs) and treatment specifically expressed genes (TSEGs). Functional clustering of DEGs and TSEGs and signaling pathways associated with lipid metabolism were identified using Ingenuity Pathways Analysis (IPA) and DAVID Bioinformatics Resources 6.7 (DAVID-BR). Quantitative PCR (qPCR) assays were subsequently conducted to further examine the expression of genes in the peroxisome proliferator-activated receptors (PPAR) signaling pathway identified by DAVID-BR. Dietary BG intervention significantly reduced abdominal fat ratio (abdominal fat weight/final body weight) in broilers. The decreased fat deposition in BG-fed chickens was in accordance with serum lipid profiles as well as the level of lipid metabolism-related enzymes in the serum, abdominal adipose, jejunum and liver. RNA-seq analysis indicated that dietary BG intervention induced 79 and 205 characterized DEGs in the jejunum and liver, respectively. In addition, 255 and 165 TSEGs were detected in the liver and jejunum of BG-fed group, while 162 and 211 TSEGs genes were observed in the liver and jejunum of BD-fed birds, respectively. Bioinformatic analysis with both IPA and DAVID-BR further revealed a significant enrichment of DEGs and TSEGs in the biological processes for reducing the synthesis, storage, transportation and secretion of lipids in the jejunum, while those in the liver were for enhancing the oxidation of ingested lipids and fatty acids. In particular, transcriptional regulators of THRSP and EGR-1 as well as several DEGs involved in the PPAR-α signaling pathway were significantly induced by dietary BG intervention for lipid catabolism. CONCLUSIONS Our results demonstrate that BG reduces body fat deposition via regulation of gene expression, which is involved in the biological events relating to the reduction of synthesis, storage, transportation and secretion, and improvement of oxidation of lipids and fatty acids.
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Affiliation(s)
- Fugui Yin
- Guelph Research and Development Centre, Agriculture and Agri-Food Canada, Guelph, Ontario, Canada
| | - Hai Yu
- Guelph Research and Development Centre, Agriculture and Agri-Food Canada, Guelph, Ontario, Canada
| | - Dion Lepp
- Guelph Research and Development Centre, Agriculture and Agri-Food Canada, Guelph, Ontario, Canada
| | - Xuejiang Shi
- Next Generation Sequencing Platforms, Clinical Genomics Centre, the UHN/MSH Gene Profiling Facility, Toronto, Ontario, Canada
| | - Xiaojian Yang
- Guelph Research and Development Centre, Agriculture and Agri-Food Canada, Guelph, Ontario, Canada
| | - Jielun Hu
- State Key Laboratory of Food Science and Technology, Nanchang University, Nanchang, Jiangxi, China
| | - Steve Leeson
- Department of Animal and Poultry Science, University of Guelph, Guelph, Ontario, Canada
| | - Chengbo Yang
- Department of Animal Science, University of Manitoba, Winnipeg, Manitoba, Canada
| | - Shaoping Nie
- State Key Laboratory of Food Science and Technology, Nanchang University, Nanchang, Jiangxi, China
| | - Yongqing Hou
- Hubei Key Laboratory of Animal Nutrition and Feed Science, Wuhan Polytechnic University, Wuhan, Hubei, China
| | - Joshua Gong
- Guelph Research and Development Centre, Agriculture and Agri-Food Canada, Guelph, Ontario, Canada
- * E-mail:
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Buzala M, Janicki B. Review: Effects of different growth rates in broiler breeder and layer hens on some productive traits. Poult Sci 2016; 95:2151-9. [PMID: 27194733 DOI: 10.3382/ps/pew173] [Citation(s) in RCA: 43] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/05/2016] [Indexed: 12/26/2022] Open
Abstract
Genetic selection that has been carried out for several dozen years has led to significant progress in poultry production by improving productive traits and increasing the profitability of broiler breeder and layer hen production. After hatching, broilers and layers differ mainly in feed intake, growth rate, efficiency of nutrient utilization, and development of muscles and adipose tissue. A key role can be played by hormonal mechanisms of appetite control in broilers and layers. The paper discusses the consequences of different growth rates resulting from long-term genetic selection on feed intake, efficiency of nutrient utilization, and development of muscles and adipose tissue, with particular consideration of the hormonal mechanisms of appetite control in broilers and layers. The information presented in this review paper shows that it would be worth comparing these issues in a meta-analysis.
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Affiliation(s)
- M Buzala
- Department of Animal Biochemistry and Biotechnology, UTP University of Science and Technology, Mazowiecka 28, 85-084 Bydgoszcz, Poland
| | - B Janicki
- Department of Animal Biochemistry and Biotechnology, UTP University of Science and Technology, Mazowiecka 28, 85-084 Bydgoszcz, Poland
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Dodson MV, Allen RE, Du M, Bergen WG, Velleman SG, Poulos SP, Fernyhough-Culver M, Wheeler MB, Duckett SK, Young MRI, Voy BH, Jiang Z, Hausman GJ. INVITED REVIEW: Evolution of meat animal growth research during the past 50 years: Adipose and muscle stem cells. J Anim Sci 2016; 93:457-81. [PMID: 26020737 DOI: 10.2527/jas.2014-8221] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022] Open
Abstract
If one were to compare today's animal growth research to research from a mere 50 yr ago, one would see programs with few similarities. The evolution of this research from whole-animal through cell-based and finally molecular and genomic studies has been enhanced by the identification, isolation, and in vitro evaluation of adipose- and muscle-derived stem cells. This paper will highlight the struggles and the milestones that make this evolving area of research what it is today. The contribution of adipose and muscle stem cell research to development and growth, tissue regeneration, and final carcass composition are reviewed.
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