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Chen Z, Zhao C, Fu R, Yuan C, Zhang K, Zhang X. Wnt signaling pathway and retinoic acid signaling pathway involved in delamination and migration of chicken trunk NCCs and contributing to HVP phenotype. Poult Sci 2025; 104:105114. [PMID: 40209469 PMCID: PMC12005351 DOI: 10.1016/j.psj.2025.105114] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2024] [Revised: 03/21/2025] [Accepted: 03/30/2025] [Indexed: 04/12/2025] Open
Abstract
Hyperpigmentation of the visceral peritoneum (HVP) is a hereditary trait that significantly affects the carcass quality in bearded chickens, yet its molecular mechanisms remain unclear. This study utilized data-independent acquisition proteomics to analyze the protein expression profiles of black peritoneum (B), faded peritoneum (F), and normal peritoneum (N) in bearded chickens at 40 and 120 d of age. Combined with histopathological and functional enrichment analyses, we revealed the regulatory network underlying HVP formation. Results indicated that the melanin content was significantly elevated in HVP samples, without accompanying inflammatory responses or tumor characteristics, suggesting that its formation is driven by developmental abnormalities. A total of 9,375 high-confidence proteins were identified through proteomics, with differentially abundant proteins at 40 d of age (219 proteins) primarily enriched in ribosomal function, tyrosine metabolism, and melanin synthesis pathways. In comparison, at 120 d of age (246 proteins), they were enriched in transcription regulation and chromatin remodeling pathways. The abnormal expression of key co-expressed proteins DHRS3 and DACT1 suggests that the dysregulation of retinoic acid (RA) and the Wnt signaling pathway may promote the directed differentiation of melanocytes by regulating neural crest cells (NCCs). The reduced abundance of the chondroitin sulfate proteoglycan, VCAN, weakened the peritoneal barrier function, whereas estradiol accelerated melanin synthesis via hormonal microenvironmental regulation. Furthermore, the formation of HVP led to a reprogramming of energy metabolism, reduced fat deposition, and a downregulation of immune-related molecules, implying that pigment deposition may weaken the chicken immune response. This study systematically elucidates the molecular mechanisms of HVP and provides potential targets for molecular breeding of HVP.
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Affiliation(s)
- Zhengyang Chen
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou, Guangdong, PR China; Guangdong Provincial Key Laboratory of Agro-Animal Genomics and Molecular Breeding, and Key Lab of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture and Rural Affair, Guangzhou, Guangdong, PR China; State Key Laboratory of Swine and Poultry Breeding Industry, Guangzhou, PR China
| | - Changbin Zhao
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou, Guangdong, PR China; Guangdong Provincial Key Laboratory of Agro-Animal Genomics and Molecular Breeding, and Key Lab of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture and Rural Affair, Guangzhou, Guangdong, PR China; State Key Laboratory of Swine and Poultry Breeding Industry, Guangzhou, PR China
| | - Rong Fu
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou, Guangdong, PR China; Guangdong Provincial Key Laboratory of Agro-Animal Genomics and Molecular Breeding, and Key Lab of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture and Rural Affair, Guangzhou, Guangdong, PR China; State Key Laboratory of Swine and Poultry Breeding Industry, Guangzhou, PR China
| | - Chengyue Yuan
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou, Guangdong, PR China; Guangdong Provincial Key Laboratory of Agro-Animal Genomics and Molecular Breeding, and Key Lab of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture and Rural Affair, Guangzhou, Guangdong, PR China; State Key Laboratory of Swine and Poultry Breeding Industry, Guangzhou, PR China
| | - Ke Zhang
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou, Guangdong, PR China; Guangdong Provincial Key Laboratory of Agro-Animal Genomics and Molecular Breeding, and Key Lab of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture and Rural Affair, Guangzhou, Guangdong, PR China; State Key Laboratory of Swine and Poultry Breeding Industry, Guangzhou, PR China
| | - Xiquan Zhang
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou, Guangdong, PR China; Guangdong Provincial Key Laboratory of Agro-Animal Genomics and Molecular Breeding, and Key Lab of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture and Rural Affair, Guangzhou, Guangdong, PR China; State Key Laboratory of Swine and Poultry Breeding Industry, Guangzhou, PR China.
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Wang Y, Liu T, Liu S, Luo W, Tang L, Li Y, He Y, Shu D, Qu H, Luo C. Research note: effects of hyperpigmentation of the visceral peritoneum on body weight and selection method in Chinese yellow-feathered broilers. Poult Sci 2024; 103:104164. [PMID: 39208487 PMCID: PMC11399784 DOI: 10.1016/j.psj.2024.104164] [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: 04/28/2024] [Revised: 07/28/2024] [Accepted: 07/30/2024] [Indexed: 09/04/2024] Open
Abstract
We previously identified a dark blue appearance through the skin of abdomen, especially the colored chicken breeds, called hyperpigmentation of the visceral peritoneum (HVP) which characterized by intense pigmentation of connective tissue in the visceral peritoneum. The HVP has recently garnered increasing attention due to its negative impact on carcass appearance, and been an important concern in the poultry industry, especially for the Chinese yellow-feathered broilers. In this study, we measured the in vivo HVP at different time points, and analyzed the correlation between the HVP in vivo and postmortem. Then, established an accurate and reliable HVP phenotypic measuring method in vivo for early selection in chickens and analyzed the association of phenotypic variations with the in vivo HVP traits with growth traits. The results showed that the in vivo HVP at 21 d of age in chickens have a high heritability (h2 = 0.452) through estimating genetic parameters, and in vivo HVP levels at 21 and 42 d were both significantly associated with those postmortem in chickens, suggesting that directional selection on reducing HVP can be implemented as early as at 21 d in the breeding and production of chickens. Although, we found HVP had no effect on the body weight at 1 d, it could significantly reduce the body weight at 21, 42, 70 d and 91 d in chickens. This suggests HVP not only has a negative effect on carcass traits, but also significantly reduces the production in the poultry industry.
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Affiliation(s)
- Yan Wang
- Guangdong Polytechnic of Science and Trade, Guangzhou 510430, China; State Key Laboratory of Swine and Poultry Breeding Industry, Institute of Animal Science, Guangdong Academy of Agricultural Sciences, Guangzhou 510640, China.
| | - Tianfei Liu
- State Key Laboratory of Swine and Poultry Breeding Industry, Institute of Animal Science, Guangdong Academy of Agricultural Sciences, Guangzhou 510640, China
| | - Sijia Liu
- Guangdong Polytechnic of Science and Trade, Guangzhou 510430, China
| | - Wei Luo
- State Key Laboratory of Swine and Poultry Breeding Industry, Institute of Animal Science, Guangdong Academy of Agricultural Sciences, Guangzhou 510640, China
| | - Lin Tang
- Guangdong Polytechnic of Science and Trade, Guangzhou 510430, China
| | - Yin Li
- State Key Laboratory of Swine and Poultry Breeding Industry, Institute of Animal Science, Guangdong Academy of Agricultural Sciences, Guangzhou 510640, China
| | - Yanhua He
- State Key Laboratory of Swine and Poultry Breeding Industry, Institute of Animal Science, Guangdong Academy of Agricultural Sciences, Guangzhou 510640, China
| | - Dingming Shu
- State Key Laboratory of Swine and Poultry Breeding Industry, Institute of Animal Science, Guangdong Academy of Agricultural Sciences, Guangzhou 510640, China
| | - Hao Qu
- State Key Laboratory of Swine and Poultry Breeding Industry, Institute of Animal Science, Guangdong Academy of Agricultural Sciences, Guangzhou 510640, China
| | - Chenglong Luo
- State Key Laboratory of Swine and Poultry Breeding Industry, Institute of Animal Science, Guangdong Academy of Agricultural Sciences, Guangzhou 510640, China.
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Cha J, Jin D, Kim JH, Kim SC, Lim JA, Chai HH, Jung SA, Lee JH, Lee SH. Genome-wide association study revealed the genomic regions associated with skin pigmentation in an Ogye x White Leghorn F2 chicken population. Poult Sci 2023; 102:102720. [PMID: 37327746 PMCID: PMC10404675 DOI: 10.1016/j.psj.2023.102720] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2023] [Revised: 04/03/2023] [Accepted: 04/10/2023] [Indexed: 06/18/2023] Open
Abstract
Skin color in chickens is an economically important trait that determines the first impression of a consumer toward a broiler and can ultimately affect consumer choice in the market. Therefore, identification of genomic regions associated with skin color is crucial for increasing the sales value of chickens. Although previous studies have attempted to reveal the genetic markers associated with the skin coloration in chickens, most were limited to investigations of candidate genes, such as melanin-related genes, and focused on case/control studies based on a single or small population. In this study, we performed a genome-wide association study (GWAS) on 770 F2 intercrosses produced by an experimental population of 2 chicken breeds, namely Ogye and White Leghorns, with different skin colors. The GWAS demonstrated that the L* value among the 3 skin color traits is highly heritable, and the genomic regions located on 2 chromosomes (20 and Z) were detected to harbor SNPs significantly associated with the skin color trait, accounting for most of the total genetic variance. Particular genomic regions spanning a ∼2.94 Mb region on GGA Z and a ∼3.58 Mb region on GGA 20 were significantly associated with skin color traits, and in these regions, certain candidate genes, including MTAP, FEM1C, GNAS, and EDN3, were found. Our findings could help elucidate the genetic mechanisms underlying chicken skin pigmentation. Furthermore, the candidate genes can be used to provide a valuable breeding strategy for the selection of specific chicken breeds with ideal skin coloration.
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Affiliation(s)
- Jihye Cha
- Animal Genome & Bioinformatics, National Institute of Animal Science, Rural Development Administration, Wanju 55365, South Korea
| | - Daehyeok Jin
- Animal Genetic Resources Research Center, National Institute of Animal Science, Rural Development Administration, Hamyang 50000, South Korea
| | - Jae-Hwan Kim
- Animal Genome & Bioinformatics, National Institute of Animal Science, Rural Development Administration, Wanju 55365, South Korea
| | - Seung-Chang Kim
- Animal Genetic Resources Research Center, National Institute of Animal Science, Rural Development Administration, Hamyang 50000, South Korea
| | - Jin A Lim
- Animal Genome & Bioinformatics, National Institute of Animal Science, Rural Development Administration, Wanju 55365, South Korea
| | - Han-Ha Chai
- Animal Genome & Bioinformatics, National Institute of Animal Science, Rural Development Administration, Wanju 55365, South Korea
| | - Seul A Jung
- Animal Genome & Bioinformatics, National Institute of Animal Science, Rural Development Administration, Wanju 55365, South Korea
| | - Jun-Heon Lee
- Department of Animal Science and Biotechnology, Chungnam National University, Daejeon 34134, South Korea
| | - Seung-Hwan Lee
- Department of Animal Science and Biotechnology, Chungnam National University, Daejeon 34134, South Korea.
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Zou X, Liu T, Li Y, Chen P, Yan X, Ma J, Ji J, Qu H, Cai M, He Y, He J, Xu X, Lin C, Zhou G, Shu D, Luo C. Long-term divergent selection for residual feed intake in Chinese broiler chickens. Poult Sci 2022; 102:102298. [PMID: 36638759 PMCID: PMC9843260 DOI: 10.1016/j.psj.2022.102298] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2022] [Revised: 10/24/2022] [Accepted: 10/24/2022] [Indexed: 01/12/2023] Open
Abstract
This study aimed to assess the effect of inbreeding on production traits using a long-term closed-line population recorded for residual feed intake (RFI). The study first used data from a previously reported population to determine the appropriate period of divergent selection for RFI. The results showed that RFI had similar moderate heritability estimates (0.28-0.34) during the fast-growing period (7-12 wk), and RFI at 7 to 10 wk had the highest heritability (0.34). Therefore, divergent selection was performed in a Chinese broiler population for RFI at 7 to 10 wk; the total sample size from generations zero (G0) to 13 was 9050. The divergence between the 2 lines increased steadily throughout generations, resulting in G13 with average RFI values of 304.55 in high RFI (HRFI) males, -160.31 in low RFI (LRFI) males, 296.30 in HRFI females and -157.55 in LRFI females. The feed intake (FI) and feed conversion ratio were almost higher in HRFI broilers than in LRFI broilers, and the magnitude of the difference in FI increased from approximately 4% for both sexes in G1 to approximately 33% in G13. Body weight gain was irregular from G1 to G13 and higher in LRFI broilers than in HRFI broilers after G10. Indeed, the HRFI broilers consumed more food, but they were lighter than LRFI broilers. In G13, LRFI males had heavier slaughter weight, longer cecum length, more white blood cells (WBC), red blood cells (RBC) and hemoglobin (HGB), but triglycerides, lower dressed percentage, percentage of half eviscerated yield, and eviscerated yield than HRFI males. LRFI females had a higher percentage of breast muscle and gizzard yield, longer cecum length, and more WBCs, RBCs and HGB but less abdominal fat and serum total cholesterol than HRFI females. This study was the first to verify that long-term divergent selection for RFI in Chinese broiler chickens is positive and beneficial.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | | | | | | | | | - Dingming Shu
- State Key Laboratory of Livestock and Poultry Breeding & Guangdong Key Laboratory of Animal Breeding and Nutrition & Institute of Animal Science, Guangdong Academy of Agricultural Sciences, Guangzhou, 510640, China.
| | - Chenglong Luo
- State Key Laboratory of Livestock and Poultry Breeding & Guangdong Key Laboratory of Animal Breeding and Nutrition & Institute of Animal Science, Guangdong Academy of Agricultural Sciences, Guangzhou, 510640, China.
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Dong XR, Wan SM, Zhou JJ, Nie CH, Chen YL, Diao JH, Gao ZX. Functional Differentiation of BMP7 Genes in Zebrafish: bmp7a for Dorsal-Ventral Pattern and bmp7b for Melanin Synthesis and Eye Development. Front Cell Dev Biol 2022; 10:838721. [PMID: 35372349 PMCID: PMC8964609 DOI: 10.3389/fcell.2022.838721] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2021] [Accepted: 02/23/2022] [Indexed: 01/02/2023] Open
Abstract
Bone morphogenetic protein 7 (BMP7) belongs to the transforming growth factor β (TGF-β) family, which not only induces cartilage and bone formation, but also regulates eye development and melanoma tumorigenesis in mammals. In teleosts, BMP7 differentiates into two subtypes, bmp7a and bmp7b, which have clearly differentiated structures. To fully understand the functional differentiation of bmp7a and bmp7b in fish species, we successfully constructed bmp7a and bmp7b gene deletion mutants in zebrafish using CRISPR/Cas9-mediated gene editing technology. Our results showed that bmp7a mutation caused abnormal development of the embryo’s dorsal-ventral pattern that led to death; bmp7b mutation induced growth inhibition and increased melanin production in the skin and eye of mutants. Histological analysis revealed that melanin in the retina of the eyes in bmp7b mutants increased, and behavioral observation showed that the vision and sensitivity to food of the mutants were reduced. Transcriptome analysis of the skin and eye tissues showed that the expression changes of wnt7ba and gna14 in bmp7b mutants might promote the increase of melanin. Additionally, the eye transcriptome analysis indicated that changes in the structure of the eyes in bmp7b mutants led to defects in phototransduction, and seven DEGs (rgs9a, rgs9b, rcvrn2, guca1d, grk1b, opn1mw4, and gc2) were identified as key candidate genes that affected the photonic response of the eyes. The study revealed the functional differentiation of bmp7a and bmp7b in teleosts and the first report about the inhibitory effect of bmp7b on melanogenesis may provide useful information for the future research on human melanoma-related diseases.
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Affiliation(s)
- Xiao-Ru Dong
- Key Lab of Freshwater Animal Breeding, College of Fisheries, Ministry of Agriculture and Rural Affairs/Key Lab of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education/Engineering Technology Research Center for Fish Breeding and Culture in Hubei Province/Engineering Research Center of Green Development for Conventional Aquatic Biological Industry in the Yangtze River Economic Belt of Ministry of Education, Huazhong Agricultural University, Wuhan, China
- Hubei Hongshan Laboratory, Wuhan, China
| | - Shi-Ming Wan
- Key Lab of Freshwater Animal Breeding, College of Fisheries, Ministry of Agriculture and Rural Affairs/Key Lab of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education/Engineering Technology Research Center for Fish Breeding and Culture in Hubei Province/Engineering Research Center of Green Development for Conventional Aquatic Biological Industry in the Yangtze River Economic Belt of Ministry of Education, Huazhong Agricultural University, Wuhan, China
- CAS Key Laboratory of Tropical Marine Bio-Resources and Ecology, South China Sea Institute of Oceanology, Innovation Academy of South China Sea Ecology and Environmental Engineering, Chinese Academy of Sciences, Guangzhou, China
| | - Jia-Jia Zhou
- Key Lab of Freshwater Animal Breeding, College of Fisheries, Ministry of Agriculture and Rural Affairs/Key Lab of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education/Engineering Technology Research Center for Fish Breeding and Culture in Hubei Province/Engineering Research Center of Green Development for Conventional Aquatic Biological Industry in the Yangtze River Economic Belt of Ministry of Education, Huazhong Agricultural University, Wuhan, China
- Hubei Hongshan Laboratory, Wuhan, China
| | - Chun-Hong Nie
- Key Lab of Freshwater Animal Breeding, College of Fisheries, Ministry of Agriculture and Rural Affairs/Key Lab of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education/Engineering Technology Research Center for Fish Breeding and Culture in Hubei Province/Engineering Research Center of Green Development for Conventional Aquatic Biological Industry in the Yangtze River Economic Belt of Ministry of Education, Huazhong Agricultural University, Wuhan, China
- Hubei Hongshan Laboratory, Wuhan, China
| | - Yu-Long Chen
- Key Lab of Freshwater Animal Breeding, College of Fisheries, Ministry of Agriculture and Rural Affairs/Key Lab of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education/Engineering Technology Research Center for Fish Breeding and Culture in Hubei Province/Engineering Research Center of Green Development for Conventional Aquatic Biological Industry in the Yangtze River Economic Belt of Ministry of Education, Huazhong Agricultural University, Wuhan, China
- Hubei Hongshan Laboratory, Wuhan, China
| | - Jing-Han Diao
- Key Lab of Freshwater Animal Breeding, College of Fisheries, Ministry of Agriculture and Rural Affairs/Key Lab of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education/Engineering Technology Research Center for Fish Breeding and Culture in Hubei Province/Engineering Research Center of Green Development for Conventional Aquatic Biological Industry in the Yangtze River Economic Belt of Ministry of Education, Huazhong Agricultural University, Wuhan, China
- Hubei Hongshan Laboratory, Wuhan, China
| | - Ze-Xia Gao
- Key Lab of Freshwater Animal Breeding, College of Fisheries, Ministry of Agriculture and Rural Affairs/Key Lab of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education/Engineering Technology Research Center for Fish Breeding and Culture in Hubei Province/Engineering Research Center of Green Development for Conventional Aquatic Biological Industry in the Yangtze River Economic Belt of Ministry of Education, Huazhong Agricultural University, Wuhan, China
- Hubei Hongshan Laboratory, Wuhan, China
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou, China
- *Correspondence: Ze-Xia Gao,
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Zhou G, Liu T, Wang Y, Qu H, Shu D, Jia X, Luo C. Genome-Wide Association Studies Provide Insight Into the Genetic Determination for Hyperpigmentation of the Visceral Peritoneum in Broilers. Front Genet 2022; 13:820297. [PMID: 35299951 PMCID: PMC8921551 DOI: 10.3389/fgene.2022.820297] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2021] [Accepted: 02/09/2022] [Indexed: 11/29/2022] Open
Abstract
Hyperpigmentation of the visceral peritoneum (HVP) has been becoming one of the most challenging problems in yellow-feathered chicken production, which seriously affected chicken carcass quality traits. Detecting which genes dominantly impact pigmentation in the peritoneum tissues is of great benefit to the genetic improvement of HVP. To investigate the genetic mechanism of HVP in yellow-feathered broilers, genome-wide association studies (GWASs) were conducted in the F2 generation of a cross broiler population with 395 birds. A total of 115,706 single-nucleotide polymorphisms (SNPs) of 122,415 were retained to identify quantitative trait loci (QTL) associated to HVP in chicken. The GWAS results based on the logistic mixed model (LMM) revealed that a narrow genomic location on chromosomes 1 (49.2–51.3 Mb) was significantly associated (p ≤ 4.32 × 10−7) with HVP, which contained 23 SNP makers related to 14 functional genes (MFNG, POLDIP3, POLR2F, PICK1, PDXP, SGSM3, RANGAP1, MYH9, RPL3, GALP3, LGALS1, MICALL1, ATF4, and CYP2D6). Four highly associated (p < 10−5) haplotype blocks of 0.80 kb (two SNPs), 0.06 kb (two SNPs), 0.95 kb (two SNPs), and 0.03 kb (two SNPs) were identified with two, two, four, and four distinct haplotypes, respectively. As a melanoma-associated gene, CYP2D6 were also possibly involved in the development of HVP occurring in chicken with two significant variations (rs314284996 and rs317955795) in the promoter regions. Further tests revealed that the expression of CYP2D6 was obviously higher in the visceral peritoneum tissue of chicken with HVP than that in the normal group (p < 0.05). Our results provide a novel clue to understand the genetic mechanism of HVP generation in chicken, and the mapped QTL or candidate genes might serve for genomic selection to improve carcass quality in the yellow-feathered chicken industry.
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Affiliation(s)
- Guangyuan Zhou
- Guangdong Provincial Key Laboratory of Animal Molecular Design and Precise Breeding, School of Life Sciences and Engineering, Foshan University, Foshan, China
- State Key Laboratory of Livestock and Poultry Breeding, Guangdong Key Laboratory of Animal Breeding and Nutrition, Institute of Animal Science, Guangdong Academy of Agricultural Sciences, Guangzhou, China
| | - Tianfei Liu
- State Key Laboratory of Livestock and Poultry Breeding, Guangdong Key Laboratory of Animal Breeding and Nutrition, Institute of Animal Science, Guangdong Academy of Agricultural Sciences, Guangzhou, China
| | - Yan Wang
- State Key Laboratory of Livestock and Poultry Breeding, Guangdong Key Laboratory of Animal Breeding and Nutrition, Institute of Animal Science, Guangdong Academy of Agricultural Sciences, Guangzhou, China
| | - Hao Qu
- State Key Laboratory of Livestock and Poultry Breeding, Guangdong Key Laboratory of Animal Breeding and Nutrition, Institute of Animal Science, Guangdong Academy of Agricultural Sciences, Guangzhou, China
| | - Dingming Shu
- State Key Laboratory of Livestock and Poultry Breeding, Guangdong Key Laboratory of Animal Breeding and Nutrition, Institute of Animal Science, Guangdong Academy of Agricultural Sciences, Guangzhou, China
| | - Xinzheng Jia
- Guangdong Provincial Key Laboratory of Animal Molecular Design and Precise Breeding, School of Life Sciences and Engineering, Foshan University, Foshan, China
- *Correspondence: Xinzheng Jia, ; Chenglong Luo,
| | - Chenglong Luo
- State Key Laboratory of Livestock and Poultry Breeding, Guangdong Key Laboratory of Animal Breeding and Nutrition, Institute of Animal Science, Guangdong Academy of Agricultural Sciences, Guangzhou, China
- *Correspondence: Xinzheng Jia, ; Chenglong Luo,
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Khumpeerawat P, Duangjinda M, Phasuk Y. Factors affecting gene expression associated with the skin color of black-bone chicken in Thailand. Poult Sci 2021; 100:101440. [PMID: 34547619 PMCID: PMC8463778 DOI: 10.1016/j.psj.2021.101440] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2020] [Revised: 07/03/2021] [Accepted: 08/15/2021] [Indexed: 11/19/2022] Open
Abstract
The objective of this study was to investigate the effect of breed, sex, and age on the gene expression level of melanocortin 1 receptor (MC1R), DOPA chrome tautomerase (DCT), tyrosinase-related protein 1 (TYRP1), tyrosinase (TYR), and agouti signaling protein (ASIP) genes in Thai commercial chicken lines. All chicken have received Newscastle vaccination, and no antibiotics or any drugs were used in this study. Four chicken breeds including Black-Chinese, KU-Phuparn, Sri Mok, and Pradu Hang Dam were used in this study. These breeds can be classified by their skin color into 3 group including black (Black Chinese and KU-Phuparn), light black (Sri Mok), and yellowish white (Pradu Hang Dam). One hundred chickens per breed were used in this study. Breast skin tissue was randomly collected from 8 chickens (4 males, 4 females) per breed at 4, 8, 12, and 16 wk of age. The mRNA expression was analyzed using qRT-PCR and the gene expression level was calculated as 2-ΔΔCT. From the results, breed significantly (P < 0.01) affected the expression level for the 5 genes evaluated. Birds with the black skin color had greater TYRP1 and TYR gene expression when compared to chickens with light black and yellowish-white skin color, respectively. Whereas, chickens with yellowish-white skin color had greater ASIP gene expression when compared to chickens having the other skin colors. Sex significantly affected DCT, TYRP1, and TYR gene expression where the gene expression in males was greater when compared to females (P < 0.05). Age affected all gene expression levels (P < 0.01). At 4 wk of age, MC1R, DCT, TYRP1, and TYR gene expression was the highest and decreased as bird age increased (P < 0.05); however, ASIP gene expression was greatest at 8 wk of age. After 8 wk of age all gene expression for the genes evaluated in this study decreased as age increased. In addition, an interaction between breed and sex (P < 0.05) impacted DCT and ASIP gene expression. The results from this study showed that all genes evaluated can be used as candidate markers to further improve the blackness of the chicken's skin because the most desired skin color is black in the Thai black-bone chicken population.
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Affiliation(s)
- Panuwat Khumpeerawat
- Department of Animal Science, Faculty of Agricultural, Khon Kaen University, Mueang Khon Kaen 40000, Thailand
| | - Monchai Duangjinda
- Department of Animal Science, Faculty of Agricultural, Khon Kaen University, Mueang Khon Kaen 40000, Thailand; Network Center for Animal Breeding and Omics Research, Faculty of Agricultural, Khon Kaen University, Mueang Khon Kaen 40000, Thailand.
| | - Yupin Phasuk
- Department of Animal Science, Faculty of Agricultural, Khon Kaen University, Mueang Khon Kaen 40000, Thailand; Network Center for Animal Breeding and Omics Research, Faculty of Agricultural, Khon Kaen University, Mueang Khon Kaen 40000, Thailand
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Blanc F, Maroilley T, Revilla M, Lemonnier G, Leplat JJ, Billon Y, Ravon L, Bouchez O, Bidanel JP, Bed'Hom B, Pinard-van der Laan MH, Estellé J, Rogel-Gaillard C. Influence of genetics and the pre-vaccination blood transcriptome on the variability of antibody levels after vaccination against Mycoplasma hyopneumoniae in pigs. Genet Sel Evol 2021; 53:24. [PMID: 33731010 PMCID: PMC7972226 DOI: 10.1186/s12711-021-00614-5] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2020] [Accepted: 02/16/2021] [Indexed: 12/13/2022] Open
Abstract
Background The impact of individual genetic and genomic variations on immune responses is an emerging lever investigated in vaccination strategies. In our study, we used genetic and pre-vaccination blood transcriptomic data to study vaccine effectiveness in pigs. Results A cohort of 182 Large White pigs was vaccinated against Mycoplasma hyopneumoniae (M. hyo) at weaning (28 days of age), with a booster 21 days later. Vaccine response was assessed by measuring seric M. hyo antibodies (Ab) at 0 (vaccination day), 21 (booster day), 28, 35, and 118 days post-vaccination (dpv). Inter-individual variability of M. hyo Ab levels was observed at all time points and the corresponding heritabilities ranged from 0.46 to 0.57. Ab persistence was higher in females than in males. Genome-wide association studies with a 658 K SNP panel revealed two genomic regions associated with variations of M. hyo Ab levels at 21 dpv at positions where immunity-related genes have been mapped, DAB2IP on chromosome 1, and ASAP1, CYRIB and GSDMC on chromosome 4. We studied covariations of Ab responses with the pre-vaccination blood transcriptome obtained by RNA-Seq for a subset of 82 pigs. Weighted gene correlation network and differential expression analyses between pigs that differed in Ab responses highlighted biological functions that were enriched in heme biosynthesis and platelet activation for low response at 21 dpv, innate antiviral immunity and dendritic cells for high response at 28 and 35 dpv, and cell adhesion and extracellular matrix for high response at 118 dpv. Sparse partial least squares discriminant analysis identified 101 genes that efficiently predicted divergent responders at all time points. We found weak negative correlations of M. hyo Ab levels with body weight traits, which revealed a trade-off that needs to be further explored. Conclusions We confirmed the influence of the host genetics on vaccine effectiveness to M. hyo and provided evidence that the pre-vaccination blood transcriptome co-varies with the Ab response. Our results highlight that both genetic markers and blood biomarkers could be used as potential predictors of vaccine response levels and more studies are required to assess whether they can be exploited in breeding programs.
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Affiliation(s)
- Fany Blanc
- Université Paris-Saclay, INRAE, AgroParisTech, GABI, 78350, Jouy-en-Josas, France.
| | - Tatiana Maroilley
- Université Paris-Saclay, INRAE, AgroParisTech, GABI, 78350, Jouy-en-Josas, France
| | - Manuel Revilla
- Université Paris-Saclay, INRAE, AgroParisTech, GABI, 78350, Jouy-en-Josas, France
| | - Gaëtan Lemonnier
- Université Paris-Saclay, INRAE, AgroParisTech, GABI, 78350, Jouy-en-Josas, France
| | - Jean-Jacques Leplat
- Université Paris-Saclay, INRAE, AgroParisTech, GABI, 78350, Jouy-en-Josas, France
| | | | | | | | - Jean-Pierre Bidanel
- Université Paris-Saclay, INRAE, AgroParisTech, GABI, 78350, Jouy-en-Josas, France
| | - Bertrand Bed'Hom
- Université Paris-Saclay, INRAE, AgroParisTech, GABI, 78350, Jouy-en-Josas, France
| | | | - Jordi Estellé
- Université Paris-Saclay, INRAE, AgroParisTech, GABI, 78350, Jouy-en-Josas, France
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9
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Hou H, Wang X, Zhang C, Tu Y, Lv W, Cai X, Xu Z, Yao J, Yang C. Genomic analysis of GBS data reveals genes associated with facial pigmentation in Xinyang blue-shelled layers. Arch Anim Breed 2020; 63:483-491. [PMID: 33473373 PMCID: PMC7810225 DOI: 10.5194/aab-63-483-2020] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2020] [Accepted: 11/02/2020] [Indexed: 12/16/2022] Open
Abstract
Facial pigmentation is an important economic trait of chickens, especially for laying hens, which will affect the carcass appearance of eliminated layers. Therefore, identifying the genomic regions and exploring the function of this region that contributes to understanding the variation of skin color traits is significant for breeding. In the study, 291 pure-line Xinyang blue-shelled laying hens were selected, of which 75 were dark-faced chickens and 216 were white-faced chickens. The population was sequenced and typed by GBS genotyping technology. The obtained high-quality SNPs and pigmentation phenotypes were analyzed by a genome-wide association study (GWAS) and a F ST scan. Based on the two analytical methods, we identified a same genomic region (10.70-11.60 Mb) on chromosome 20 with 68 significant SNPs ( - log 10 ( P ) > 6 ), mapped to 10 known genes, including NPEPL1, EDN3, GNAS, C20orf85, VAPB, BMP7, TUBB1, ELMO2, DDX27, and NCOA5, which are associated with dermal hyperpigmentation.
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Affiliation(s)
- Haobin Hou
- Shanghai Academy of Agricultural Sciences, Shanghai 201106, China.,National Poultry Engineer Research Center, Shanghai 201106, China
| | - Xiaoliang Wang
- Shanghai Academy of Agricultural Sciences, Shanghai 201106, China.,National Poultry Engineer Research Center, Shanghai 201106, China
| | - Caiyun Zhang
- National Poultry Engineer Research Center, Shanghai 201106, China
| | - Yingying Tu
- National Poultry Engineer Research Center, Shanghai 201106, China
| | - Wenwei Lv
- National Poultry Engineer Research Center, Shanghai 201106, China
| | - Xia Cai
- Shanghai Academy of Agricultural Sciences, Shanghai 201106, China.,National Poultry Engineer Research Center, Shanghai 201106, China
| | - Zhigang Xu
- Shanghai Poultry Breeding Co., Ltd., Shanghai 201100, China
| | - Junfeng Yao
- Shanghai Academy of Agricultural Sciences, Shanghai 201106, China.,National Poultry Engineer Research Center, Shanghai 201106, China
| | - Changsuo Yang
- Shanghai Academy of Agricultural Sciences, Shanghai 201106, China.,National Poultry Engineer Research Center, Shanghai 201106, China
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10
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Moreira GCM, Poleti MD, Pértille F, Boschiero C, Cesar ASM, Godoy TF, Ledur MC, Reecy JM, Garrick DJ, Coutinho LL. Unraveling genomic associations with feed efficiency and body weight traits in chickens through an integrative approach. BMC Genet 2019; 20:83. [PMID: 31694549 PMCID: PMC6836328 DOI: 10.1186/s12863-019-0783-3] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2019] [Accepted: 10/11/2019] [Indexed: 12/25/2022] Open
Abstract
BACKGROUND Feed efficiency and growth rate have been targets for selection to improve chicken production. The incorporation of genomic tools may help to accelerate selection. We genotyped 529 individuals using a high-density SNP chip (600 K, Affymetrix®) to estimate genomic heritability of performance traits and to identify genomic regions and their positional candidate genes associated with performance traits in a Brazilian F2 Chicken Resource population. Regions exhibiting selection signatures and a SNP dataset from resequencing were integrated with the genomic regions identified using the chip to refine the list of positional candidate genes and identify potential causative mutations. RESULTS Feed intake (FI), feed conversion ratio (FC), feed efficiency (FE) and weight gain (WG) exhibited low genomic heritability values (i.e. from 0.0002 to 0.13), while body weight at hatch (BW1), 35 days-of-age (BW35), and 41 days-of-age (BW41) exhibited high genomic heritability values (i.e. from 0.60 to 0.73) in this F2 population. Twenty unique 1-Mb genomic windows were associated with BW1, BW35 or BW41, located on GGA1-4, 6-7, 10, 14, 24, 27 and 28. Thirty-eight positional candidate genes were identified within these windows, and three of them overlapped with selection signature regions. Thirteen predicted deleterious and three high impact sequence SNPs in these QTL regions were annotated in 11 positional candidate genes related to osteogenesis, skeletal muscle development, growth, energy metabolism and lipid metabolism, which may be associated with body weight in chickens. CONCLUSIONS The use of a high-density SNP array to identify QTL which were integrated with whole genome sequence signatures of selection allowed the identification of candidate genes and candidate causal variants. One novel QTL was detected providing additional information to understand the genetic architecture of body weight traits. We identified QTL for body weight traits, which were also associated with fatness in the same population. Our findings form a basis for further functional studies to elucidate the role of specific genes in regulating body weight and fat deposition in chickens, generating useful information for poultry breeding programs.
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Affiliation(s)
| | - Mirele Daiana Poleti
- University of São Paulo (USP) / College of Animal Science and Food Engineering (FZEA), Pirassununga, São Paulo, Brazil
| | - Fábio Pértille
- Department of Animal Science, University of São Paulo, Piracicaba, SP 13418-900 Brazil
| | - Clarissa Boschiero
- Department of Animal Science, University of São Paulo, Piracicaba, SP 13418-900 Brazil
| | | | - Thaís Fernanda Godoy
- Department of Animal Science, University of São Paulo, Piracicaba, SP 13418-900 Brazil
| | | | - James M. Reecy
- Department of Animal Science, Iowa State University (ISU), Ames, Iowa, USA
| | - Dorian J. Garrick
- School of Agriculture, Massey University, Ruakura, Hamilton, New Zealand
| | - Luiz Lehmann Coutinho
- Department of Animal Science, University of São Paulo, Piracicaba, SP 13418-900 Brazil
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11
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Dong X, Li J, Zhang Y, Han D, Hua G, Wang J, Deng X, Wu C. Genomic Analysis Reveals Pleiotropic Alleles at EDN3 and BMP7 Involved in Chicken Comb Color and Egg Production. Front Genet 2019; 10:612. [PMID: 31316551 PMCID: PMC6611142 DOI: 10.3389/fgene.2019.00612] [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: 02/22/2019] [Accepted: 06/12/2019] [Indexed: 12/20/2022] Open
Abstract
Artificial selection is often associated with numerous changes in seemingly unrelated phenotypic traits. The genetic mechanisms of correlated phenotypes probably involve pleiotropy or linkage of genes related to such phenotypes. Dongxiang blue-shelled chicken, an indigenous chicken breed of China, has segregated significantly for the dermal hyperpigmentation phenotype. Two lines of the chicken have been divergently selected with respect to comb color for over 20 generations. The red comb line chicken produces significantly higher number of eggs than the dark comb line chicken. The objective of this study was to explore potential mechanisms involved in the relationship between comb color and egg production among chickens. Based on the genome-wide association study results, we identified a genomic region on chromosome 20 involving EDN3 and BMP7, which is associated with hyperpigmentation of chicken comb. Further analyses by selection signatures in the two divergent lines revealed that several candidate genes, including EDN3, BMP7, BPIFB3, and PCK1, closely located on chromosome 20 are involved in the development of neural crest cell and reproductive system. The two genes EDN3 and BMP7 have known roles in regulating both ovarian function and melanogenesis, indicating the pleiotropic effect on hyperpigmentation and egg production in blue-shelled chickens. Association analysis for egg production confirmed the pleiotropic effect of selected loci identified by selection signatures. The study provides insights into phenotypic evolution due to genetic variation across the genome. The information might be useful in the current breeding efforts to develop improved breeds for egg production.
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Affiliation(s)
- Xianggui Dong
- National Engineering Laboratory for Animal Breeding and Key Laboratory of Animal Genetics, Breeding, and Reproduction of the Ministry of Agriculture, China Agricultural University, Beijing, China
| | - Junying Li
- National Engineering Laboratory for Animal Breeding and Key Laboratory of Animal Genetics, Breeding, and Reproduction of the Ministry of Agriculture, China Agricultural University, Beijing, China
| | - Yuanyuan Zhang
- National Engineering Laboratory for Animal Breeding and Key Laboratory of Animal Genetics, Breeding, and Reproduction of the Ministry of Agriculture, China Agricultural University, Beijing, China
| | - Deping Han
- College of Veterinary Medicine, China Agricultural University, Beijing, China
| | - Guoying Hua
- National Engineering Laboratory for Animal Breeding and Key Laboratory of Animal Genetics, Breeding, and Reproduction of the Ministry of Agriculture, China Agricultural University, Beijing, China
| | - Jiankui Wang
- National Engineering Laboratory for Animal Breeding and Key Laboratory of Animal Genetics, Breeding, and Reproduction of the Ministry of Agriculture, China Agricultural University, Beijing, China
| | - Xuemei Deng
- National Engineering Laboratory for Animal Breeding and Key Laboratory of Animal Genetics, Breeding, and Reproduction of the Ministry of Agriculture, China Agricultural University, Beijing, China
| | - Changxin Wu
- National Engineering Laboratory for Animal Breeding and Key Laboratory of Animal Genetics, Breeding, and Reproduction of the Ministry of Agriculture, China Agricultural University, Beijing, China
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12
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Li D, Li Y, Li M, Che T, Tian S, Chen B, Zhou X, Zhang G, Gaur U, Luo M, Tian K, He M, He S, Xu Z, Jin L, Tang Q, Dai Y, Xu H, Hu Y, Zhao X, Yin H, Wang Y, Zhou R, Yang C, Du H, Jiang X, Zhu Q, Li M. Population genomics identifies patterns of genetic diversity and selection in chicken. BMC Genomics 2019; 20:263. [PMID: 30940068 PMCID: PMC6446315 DOI: 10.1186/s12864-019-5622-4] [Citation(s) in RCA: 32] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2018] [Accepted: 03/19/2019] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND There are hundreds of phenotypically distinguishable domestic chicken breeds or lines with highly specialized traits worldwide, which provide a unique opportunity to illustrate how selection shapes patterns of genetic variation. There are many local chicken breeds in China. RESULTS Here, we provide a population genome landscape of genetic variations in 86 domestic chickens representing 10 phenotypically diverse breeds. Genome-wide analysis indicated that sex chromosomes have less genetic diversity and are under stronger selection than autosomes during domestication and local adaptation. We found an evidence of admixture between Tibetan chickens and other domestic population. We further identified strong signatures of selection affecting genomic regions that harbor genes underlying economic traits (typically related to feathers, skin color, growth, reproduction and aggressiveness) and local adaptation (to high altitude). By comparing the genomes of the Tibetan and lowland fowls, we identified genes associated with high-altitude adaptation in Tibetan chickens were mainly involved in energy metabolism, body size maintenance and available food sources. CONCLUSIONS The work provides crucial insights into the distinct evolutionary scenarios occurring under artificial selection for agricultural production and under natural selection for success at high altitudes in chicken. Several genes were identified as candidates for chicken economic traits and other phenotypic traits.
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Affiliation(s)
- Diyan Li
- Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
| | - Yan Li
- Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
| | - Miao Li
- Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
| | - Tiandong Che
- Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
| | - Shilin Tian
- Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China.,Novogene Bioinformatics Institute, Beijing, China
| | - Binlong Chen
- Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
| | - Xuming Zhou
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, USA
| | - Guolong Zhang
- Department of Animal Science, Oklahoma State University, Stillwater, OK, USA
| | - Uma Gaur
- Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
| | - Majing Luo
- Hubei Key Laboratory of Cell Homeostasis, Laboratory of Molecular and Developmental Genetics, College of Life Sciences, Wuhan University, Wuhan, China
| | - Kai Tian
- Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
| | - Mengnan He
- Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
| | - Shen He
- Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
| | - Zhongxian Xu
- Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
| | - Long Jin
- Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
| | - Qianzi Tang
- Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
| | - Yifei Dai
- Novogene Bioinformatics Institute, Beijing, China
| | - Huailiang Xu
- Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
| | - Yaodong Hu
- Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
| | - Xiaoling Zhao
- Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
| | - Huadong Yin
- Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
| | - Yan Wang
- Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
| | - Rongjia Zhou
- Hubei Key Laboratory of Cell Homeostasis, Laboratory of Molecular and Developmental Genetics, College of Life Sciences, Wuhan University, Wuhan, China
| | - Chaowu Yang
- Sichuan Animal Science Academy, Chengdu, China
| | - Huarui Du
- Sichuan Animal Science Academy, Chengdu, China
| | | | - Qing Zhu
- Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China.
| | - Mingzhou Li
- Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China.
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13
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Wang Y, Guo F, Qu H, Luo C, Wang J, Shu D. Associations between variants of bone morphogenetic protein 7 gene and growth traits in chickens. Br Poult Sci 2018; 59:264-269. [PMID: 29667421 DOI: 10.1080/00071668.2018.1454586] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
1. Enhancing bone strength to solve leg disorders in poultry has become an important goal in broiler production. Bone morphogenetic protein 7 (BMP7), a member of the BMP family, represents an attractive therapeutic target for bone regeneration in humans and plays critical roles in skeletal development. 2. The objective of this study was to investigate the relationship between BMP7 gene expression, single-nucleotide polymorphisms (SNPs) and growth traits in chickens. Here, a SNP (c.1995T>C) in the chicken (Gallus gallus) BMP7 gene was identified, that was associated with growth and carcass traits. 3. Genotyping revealed that the T allele occurred more frequently in breeds with high growth rates, whereas the C allele was predominant in those with low growth rates. The expression level of BMP7 in the thigh bone of birds with the TT genotype was significantly higher than in those with the CC genotype at 21, 42 and 91 d of age. 4. These findings suggest that selecting the birds with the TT genotype of SNP c.1995T>C could improve bone growth, could reduce leg disorders in fast-growing birds. The SNP c.1995T>C may serve as a selective marker for improving bone growth and increasing the consistency of body weights in poultry breeding.
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Affiliation(s)
- Y Wang
- a Institute of Animal Science , Guangdong Academy of Agricultural Sciences , Guangzhou 510640 , China.,b State Key Laboratory of Livestock and Poultry Breeding & Guangdong Key Laboratory of Animal Breeding and Nutrition , Guangzhou 510640 , China
| | - F Guo
- a Institute of Animal Science , Guangdong Academy of Agricultural Sciences , Guangzhou 510640 , China.,b State Key Laboratory of Livestock and Poultry Breeding & Guangdong Key Laboratory of Animal Breeding and Nutrition , Guangzhou 510640 , China
| | - H Qu
- a Institute of Animal Science , Guangdong Academy of Agricultural Sciences , Guangzhou 510640 , China.,b State Key Laboratory of Livestock and Poultry Breeding & Guangdong Key Laboratory of Animal Breeding and Nutrition , Guangzhou 510640 , China
| | - C Luo
- a Institute of Animal Science , Guangdong Academy of Agricultural Sciences , Guangzhou 510640 , China.,b State Key Laboratory of Livestock and Poultry Breeding & Guangdong Key Laboratory of Animal Breeding and Nutrition , Guangzhou 510640 , China
| | - J Wang
- a Institute of Animal Science , Guangdong Academy of Agricultural Sciences , Guangzhou 510640 , China.,b State Key Laboratory of Livestock and Poultry Breeding & Guangdong Key Laboratory of Animal Breeding and Nutrition , Guangzhou 510640 , China
| | - D Shu
- a Institute of Animal Science , Guangdong Academy of Agricultural Sciences , Guangzhou 510640 , China.,b State Key Laboratory of Livestock and Poultry Breeding & Guangdong Key Laboratory of Animal Breeding and Nutrition , Guangzhou 510640 , China
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14
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Tohidi R, Javanmard A, Idris I. Immunogenetics applied to control salmonellosis in chicken: a review. JOURNAL OF APPLIED ANIMAL RESEARCH 2018. [DOI: 10.1080/09712119.2017.1301256] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Affiliation(s)
- Reza Tohidi
- Department of Animal Science, Torbat-e Jam University of Agriculture, Torbat-e Jam, Iran
| | - Arash Javanmard
- Department of Animal Science, University of Tabriz, Tabriz, Iran
| | - Ismail Idris
- Department of Animal Science, Universiti Putra Malaysia, Serdang, Malaysia
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15
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Wang YM, Xu HB, Wang MS, Otecko NO, Ye LQ, Wu DD, Zhang YP. Annotating long intergenic non-coding RNAs under artificial selection during chicken domestication. BMC Evol Biol 2017; 17:192. [PMID: 28810830 PMCID: PMC5558714 DOI: 10.1186/s12862-017-1036-6] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2017] [Accepted: 08/04/2017] [Indexed: 12/18/2022] Open
Abstract
Background Numerous biological functions of long intergenic non-coding RNAs (lincRNAs) have been identified. However, the contribution of lincRNAs to the domestication process has remained elusive. Following domestication from their wild ancestors, animals display substantial changes in many phenotypic traits. Therefore, it is possible that diverse molecular drivers play important roles in this process. Results We analyzed 821 transcriptomes in this study and annotated 4754 lincRNA genes in the chicken genome. Our population genomic analysis indicates that 419 lincRNAs potentially evolved during artificial selection related to the domestication of chicken, while a comparative transcriptomic analysis identified 68 lincRNAs that were differentially expressed under different conditions. We also found 47 lincRNAs linked to special phenotypes. Conclusions Our study provides a comprehensive view of the genome-wide landscape of lincRNAs in chicken. This will promote a better understanding of the roles of lincRNAs in domestication, and the genetic mechanisms associated with the artificial selection of domestic animals. Electronic supplementary material The online version of this article (doi:10.1186/s12862-017-1036-6) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Yun-Mei Wang
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, China.,University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Hai-Bo Xu
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, China.,University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Ming-Shan Wang
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, China.,University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Newton Otieno Otecko
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, China.,University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Ling-Qun Ye
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, China.,University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Dong-Dong Wu
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, China. .,University of Chinese Academy of Sciences, Beijing, 100049, China.
| | - Ya-Ping Zhang
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, China. .,University of Chinese Academy of Sciences, Beijing, 100049, China.
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16
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Pértille F, Moreira GCM, Zanella R, Nunes JDRDS, Boschiero C, Rovadoscki GA, Mourão GB, Ledur MC, Coutinho LL. Genome-wide association study for performance traits in chickens using genotype by sequencing approach. Sci Rep 2017; 7:41748. [PMID: 28181508 PMCID: PMC5299454 DOI: 10.1038/srep41748] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2016] [Accepted: 12/23/2016] [Indexed: 12/11/2022] Open
Abstract
Performance traits are economically important and are targets for selection in breeding programs, especially in the poultry industry. To identify regions on the chicken genome associated with performance traits, different genomic approaches have been applied in the last years. The aim of this study was the application of CornellGBS approach (134,528 SNPs generated from a PstI restriction enzyme) on Genome-Wide Association Studies (GWAS) in an outbred F2 chicken population. We have validated 91.7% of these 134,528 SNPs after imputation of missed genotypes. Out of those, 20 SNPs were associated with feed conversion, one was associated with body weight at 35 days of age (P < 7.86E-07) and 93 were suggestively associated with a variety of performance traits (P < 1.57E-05). The majority of these SNPs (86.2%) overlapped with previously mapped QTL for the same performance traits and some of the SNPs also showed novel potential QTL regions. The results obtained in this study suggests future searches for candidate genes and QTL refinements as well as potential use of the SNPs described here in breeding programs.
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Affiliation(s)
- Fábio Pértille
- University of São Paulo (USP)/Luiz de Queiroz College of Agriculture (ESALQ), Piracicaba, São Paulo, Brazil
| | | | - Ricardo Zanella
- College of Agronomy and Veterinary Medicine, Veterinary School, University of Passo Fundo, Rio Grande do Sul, Brazil
| | | | - Clarissa Boschiero
- University of São Paulo (USP)/Luiz de Queiroz College of Agriculture (ESALQ), Piracicaba, São Paulo, Brazil
| | - Gregori Alberto Rovadoscki
- University of São Paulo (USP)/Luiz de Queiroz College of Agriculture (ESALQ), Piracicaba, São Paulo, Brazil
| | - Gerson Barreto Mourão
- University of São Paulo (USP)/Luiz de Queiroz College of Agriculture (ESALQ), Piracicaba, São Paulo, Brazil
| | | | - Luiz Lehmann Coutinho
- University of São Paulo (USP)/Luiz de Queiroz College of Agriculture (ESALQ), Piracicaba, São Paulo, Brazil
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17
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Heidaritabar M, Calus MPL, Vereijken A, Groenen MAM, Bastiaansen JWM. Accuracy of imputation using the most common sires as reference population in layer chickens. BMC Genet 2015; 16:101. [PMID: 26282557 PMCID: PMC4539854 DOI: 10.1186/s12863-015-0253-5] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2014] [Accepted: 07/10/2015] [Indexed: 11/24/2022] Open
Abstract
BACKGROUND Genotype imputation has become a standard practice in modern genetic research to increase genome coverage and improve the accuracy of genomic selection (GS) and genome-wide association studies (GWAS). We assessed accuracies of imputing 60K genotype data from lower density single nucleotide polymorphism (SNP) panels using a small set of the most common sires in a population of 2140 white layer chickens. Several factors affecting imputation accuracy were investigated, including the size of the reference population, the level of the relationship between the reference and validation populations, and minor allele frequency (MAF) of the SNP being imputed. RESULTS The accuracy of imputation was assessed with different scenarios using 22 and 62 carefully selected reference animals (Ref(22) and Ref(62)). Animal-specific imputation accuracy corrected for gene content was moderate on average (~ 0.80) in most scenarios and low in the 3K to 60K scenario. Maximum average accuracies were 0.90 and 0.93 for the most favourable scenario for Ref(22) and Ref(62) respectively, when SNPs were masked independent of their MAF. SNPs with low MAF were more difficult to impute, and the larger reference population considerably improved the imputation accuracy for these rare SNPs. When Ref(22) was used for imputation, the average imputation accuracy decreased by 0.04 when validation population was two instead of one generation away from the reference and increased again by 0.05 when validation was three generations away. Selecting the reference animals from the most common sires, compared with random animals from the population, considerably improved imputation accuracy for low MAF SNPs, but gave only limited improvement for other MAF classes. The allelic R(2) measure from Beagle software was found to be a good predictor of imputation reliability (correlation ~ 0.8) when the density of validation panel was very low (3K) and the MAF of the SNP and the size of the reference population were not extremely small. CONCLUSIONS Even with a very small number of animals in the reference population, reasonable accuracy of imputation can be achieved. Selecting a set of the most common sires, rather than selecting random animals for the reference population, improves the imputation accuracy of rare alleles, which may be a benefit when imputing with whole genome re-sequencing data.
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Affiliation(s)
- Marzieh Heidaritabar
- Animal Breeding and Genomics Centre, Wageningen University, P.O. Box 338, 6700 AH, Wageningen, the Netherlands.
| | - Mario P L Calus
- Animal Breeding and Genomics Centre, Wageningen UR Livestock Research, P.O. Box 338, 6700 AH, Wageningen, the Netherlands.
| | - Addie Vereijken
- Hendrix Genetics Research, Technology and Services B.V., P.O. Box 114, 5830 AC, Boxmeer, the Netherlands.
| | - Martien A M Groenen
- Animal Breeding and Genomics Centre, Wageningen University, P.O. Box 338, 6700 AH, Wageningen, the Netherlands.
| | - John W M Bastiaansen
- Animal Breeding and Genomics Centre, Wageningen University, P.O. Box 338, 6700 AH, Wageningen, the Netherlands.
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18
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Wang J, Wang Y, Luo C, Qu H, Shu D. Accumulation of melanin in the peritoneum causes black abdomens in broilers. Poult Sci 2014; 93:742-6. [PMID: 24604870 DOI: 10.3382/ps.2013-03433] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023] Open
Abstract
A suspected case of localized visceral hyperpigmentation was described for a breed of broiler in China. Using optical microscopy, the accumulation of pigments in the abdominal skin and visceral peritoneum was observed. Electron microscopy was used to further study the ultrastructure of the pigmented peritoneum, and pigment granules resembling melanosomes at different stages were found, and melanocytes were present in this tissue. Infrared spectroscopy was used to analyze the physical-chemical properties of pigments extracted from these broilers. Using synthetic melanin as a reference and the melanin from the peritoneum of Silkie fowls as a control, the pigments in the peritonea of these broilers were found to be melanin, and it had a chemical structure similar to that of melanin from the Silkie fowl peritoneum. In this way, the black abdomens of these broilers were found to have been caused by accumulation of melanin produced by melanocytes in visceral peritonea.
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Affiliation(s)
- J Wang
- Institute of Animal Science, Guangdong Academy of Agricultural Sciences, Guangzhou 510640, China
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