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Wan Y, Ma R, Qi R, Jiang D, Guan H, Liu W, Li J, Li Y, Zhan K. Effects of cage size on the natural behavior, serum parameters, production performance and hypothalamic mRNA expression profiles of laying hens. Poult Sci 2025; 104:104647. [PMID: 39689482 PMCID: PMC11719388 DOI: 10.1016/j.psj.2024.104647] [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: 09/16/2024] [Revised: 12/03/2024] [Accepted: 12/04/2024] [Indexed: 12/19/2024] Open
Abstract
The objective of this study was to evaluate the effects of cage size on the natural behavior, serum biochemistry, production performance and hypothalamic transcriptome profiles of laying hens. A total of 360 79-week-old hens were selected and randomly assigned to three groups (with five replicates each) with different cage sizes: large cages (LCs), medium cages (MCs), and small cages (SCs). The stocking density remained consistent across all groups throughout the experimental period. Behavioral expression was evaluated through observation of only six birds per group on a weekly basis. Compared to the SC group, the average frequencies of walking, wing-flapping, feather-pecking and drinking significantly increased in the LC and MC groups (P <0.05), whereas the average frequency of stereotypic behavior significantly decreased (P <0.05), indicating that cage size has positive effects on natural behavior. The average daily step count (DSC) was in the order LC > MC > SC (P <0.05), which suggested an improvement in exercise ability in larger cages. The serum levels of MDA, CORT, AST and T-CH were significantly lower in the LC and MC groups than in the SC group (P <0.05), whereas the serum activities of SOD and GSH-Px were significantly greater (P <0.05). Additionally, compared to the SC group, the laying rates were increased by 1.61% and 2.20% (P <0.05), and the feed conversion ratio (FCR) were improved by 1.35% and 2.25%, respectively (P <0.05) in the LC and MC groups, respectively. In total, 437 and 81 differentially expressed genes (DEGs) were identified in the hypothalamus of birds between the LC and SC groups and the MC and SC groups, respectively. A majority of these DEGs were involved primarily in neuroactive ligand‒receptor interactions, focal adhesion and calcium signaling pathways, which are associated with the regulation of behavioral patterns, the stress response and follicular development. Our results suggest that an appropriate increase in cage size is beneficial to the natural behavior expression, health status and production performance of laying hens.
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Affiliation(s)
- Yi Wan
- Anhui Key Laboratory of Livestock and Poultry Product Safety Engineering, Institute of Animal Husbandry and Veterinary Medicine, Anhui Academy of Agricultural Sciences, Hefei, Anhui 230031, China
| | - Ruiyu Ma
- Anhui Key Laboratory of Livestock and Poultry Product Safety Engineering, Institute of Animal Husbandry and Veterinary Medicine, Anhui Academy of Agricultural Sciences, Hefei, Anhui 230031, China
| | - Renrong Qi
- Anhui Key Laboratory of Livestock and Poultry Product Safety Engineering, Institute of Animal Husbandry and Veterinary Medicine, Anhui Academy of Agricultural Sciences, Hefei, Anhui 230031, China
| | - Dawei Jiang
- Anhui Sundaily Village Ecological Food Co., Ltd., Huaining 246100, China
| | - Helong Guan
- Anhui Key Laboratory of Livestock and Poultry Product Safety Engineering, Institute of Animal Husbandry and Veterinary Medicine, Anhui Academy of Agricultural Sciences, Hefei, Anhui 230031, China
| | - Wei Liu
- Anhui Key Laboratory of Livestock and Poultry Product Safety Engineering, Institute of Animal Husbandry and Veterinary Medicine, Anhui Academy of Agricultural Sciences, Hefei, Anhui 230031, China
| | - Junying Li
- Anhui Key Laboratory of Livestock and Poultry Product Safety Engineering, Institute of Animal Husbandry and Veterinary Medicine, Anhui Academy of Agricultural Sciences, Hefei, Anhui 230031, China
| | - Yan Li
- Anhui Key Laboratory of Livestock and Poultry Product Safety Engineering, Institute of Animal Husbandry and Veterinary Medicine, Anhui Academy of Agricultural Sciences, Hefei, Anhui 230031, China
| | - Kai Zhan
- Institute of Animal Husbandry and Veterinary Medicine, Anhui Academy of Agriculture Science, Hefei 230031, China.
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Su C, Zhang L, Pan Y, Jiao J, Luo P, Chang X, Zhang H, Si X, Chen W, Huang Y. Enhancing aggression in Henan gamecocks via augmentation of serotonergic-dopaminergic signaling and attenuation of neuroimmune response. Poult Sci 2024; 103:104055. [PMID: 39190992 PMCID: PMC11395772 DOI: 10.1016/j.psj.2024.104055] [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: 05/08/2024] [Revised: 06/18/2024] [Accepted: 06/27/2024] [Indexed: 08/29/2024] Open
Abstract
Animal aggression is one of the most conserved behaviors. Excessive and inappropriate aggression was a serious social concern across species. After long-term selection under strict stress conditions, Henan gamecock serves as a good model for studying aggressive behavior. In this research, we constructed a Henan game chicken backcross population containing 25% Rhode Island Red (RIR), and conducted brain transcriptomics and serum metabolomics analyses on Henan gamecock (HGR) through its comparison with its female encounters (HGH) and the male backcross birds (BGR). The study revealed that seven differential metabolites in serum and 172 differentially expressed genes in the brain were commonly shared in both HGR vs. HGH and HGR vs. BGR comparisons. They exhibited the same patterns of modulation in Henan gamecocks, following either HGH < HGR > BGR or HGH > HGR < BGR style. Therein, some neurological genes involving in serotonergic and dopaminergic signaling were upregulated, while the levels of many genes related with neuro-immune function were decreased in Henan gamecock. In addition, many unknown genes specifically or highly expressed in the brain of the Henan gamecock were identified. These genes are potentially key candidates for enhancing the bird's aggression. Multi-omics joint analysis revealed that tyrosine metabolism and neuroactive ligand-receptor interaction were commonly affected. Overall, our results propose that the aggressiveness of Henan gamecocks can be heightened by the activation of the serotonergic-dopaminergic metabolic process in the brain, which concurrently impairs the neuroimmune system. Further research is needed to identify the function of these unknown genes on the bird's aggressive behavior.
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Affiliation(s)
- Chuanchen Su
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou Henan 450046, China
| | - Lin Zhang
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou Henan 450046, China
| | - Yuxian Pan
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou Henan 450046, China
| | - Jingya Jiao
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou Henan 450046, China
| | - Pengna Luo
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou Henan 450046, China
| | - Xinghai Chang
- Henan Changxing Agriculture and Animal Husbandry co., LTD, Kaifeng, Henan 475000, China
| | - Huaiyong Zhang
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou Henan 450046, China
| | - Xuemeng Si
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou Henan 450046, China
| | - Wen Chen
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou Henan 450046, China
| | - Yanqun Huang
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou Henan 450046, China.
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Zhu B, Zhu J, Liu A, Yao B, Liao F, Yang S. Transcriptomic and metabolomic analysis based on different aggressive pecking phenotype in duck. Sci Rep 2024; 14:22321. [PMID: 39333746 PMCID: PMC11436778 DOI: 10.1038/s41598-024-73726-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2024] [Accepted: 09/20/2024] [Indexed: 09/30/2024] Open
Abstract
Aggressive pecking is an important welfare and production efficiency issue in poultry farming. The precise mechanisms underlying the occurrence of aggressive pecking remain poorly understood. In this study, we selected Sansui ducks that performed aggressive pecking and ducks that did not perform aggressive pecking from video recordings. Transcriptomic and metabolomic analyses of the whole brains of aggressive pecking ducks and normal ducks revealed 504 differentially expressed genes and 5 differentially altered metabolites (adenosine, guanidinopropionic acid, Met-Leu, Glu-Ile and 5,6,8-trihydroxy-2-methylbenzo[g]chromen-4-one). By jointly analysing the transcriptomics and metabolomics results, we discovered 8 candidate genes (ADCYAP1, GAL, EDN2, EDN1, MC5R, S1PR4, LOC113843450, and IAPP) and one candidate metabolite (adenosine) that regulates aggressive pecking behaviour in ducks. The candidate genes and metabolites may be involved in regulating aggressive pecking behaviour by inducing neurodegeneration and disrupting neural excitatory-inhibitory homeostasis, which in turn affects central nervous system function in aggressive pecking and normal ducks. Our findings provide a new reference for revealing the underlying mechanism of aggressive pecking behaviour in ducks.
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Affiliation(s)
- Baoguo Zhu
- Key Laboratory of Animal Genetics, Breeding and Reproduction in the Plateau Mountainous Region, Ministry of Education, Guizhou University, Guiyang, 550025, China
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Guizhou province, Guizhou University, Guiyang, 550025, China
- College of Animal Science, Guizhou University, Guiyang, 550025, China
| | - Jinjin Zhu
- Key Laboratory of Animal Genetics, Breeding and Reproduction in the Plateau Mountainous Region, Ministry of Education, Guizhou University, Guiyang, 550025, China
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Guizhou province, Guizhou University, Guiyang, 550025, China
- College of Animal Science, Guizhou University, Guiyang, 550025, China
| | - Ai Liu
- Key Laboratory of Animal Genetics, Breeding and Reproduction in the Plateau Mountainous Region, Ministry of Education, Guizhou University, Guiyang, 550025, China
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Guizhou province, Guizhou University, Guiyang, 550025, China
- College of Animal Science, Guizhou University, Guiyang, 550025, China
| | - Bingnong Yao
- Key Laboratory of Animal Genetics, Breeding and Reproduction in the Plateau Mountainous Region, Ministry of Education, Guizhou University, Guiyang, 550025, China
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Guizhou province, Guizhou University, Guiyang, 550025, China
- College of Animal Science, Guizhou University, Guiyang, 550025, China
| | - Fuyou Liao
- Key Laboratory of Animal Genetics, Breeding and Reproduction in the Plateau Mountainous Region, Ministry of Education, Guizhou University, Guiyang, 550025, China
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Guizhou province, Guizhou University, Guiyang, 550025, China
- College of Animal Science, Guizhou University, Guiyang, 550025, China
| | - Shenglin Yang
- Key Laboratory of Animal Genetics, Breeding and Reproduction in the Plateau Mountainous Region, Ministry of Education, Guizhou University, Guiyang, 550025, China.
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Guizhou province, Guizhou University, Guiyang, 550025, China.
- College of Animal Science, Guizhou University, Guiyang, 550025, China.
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Luo W, Huang X, Li J, Gu L. Investigating the genetic determination of duration-of-fertility trait in breeding hens. Sci Rep 2024; 14:14819. [PMID: 38937575 PMCID: PMC11211418 DOI: 10.1038/s41598-024-65675-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2024] [Accepted: 06/24/2024] [Indexed: 06/29/2024] Open
Abstract
The duration-of-fertility (DF), which was defined as the number of days when breeding hens lay fertile eggs following copulation or artificial insemination (AI), is an important economic trait in chick production when it has strong effects on fertile egg output and production costs. Little is known about the underlying genes and molecular markers related to DF trait to date. Here, we measured the DF of 701 Chinese Jinghong hens and 408 Jingfen hens. The DF showed high individual variability and potential for genetic improvement. Then, 192 Jinghong breeding hens were provided for a genome-wide association study, 27 SNPs respectively located in three genomic linkage regions (GGA1:41Kb; GGA3:39Kb and GGA8:39Kb) were suggested to be significantly associated with DF. Particularly, 6 of these 27 SNPs were further verified to be associated with DF in the 701 Jinghong and 408 Jingfen hens using PCR-RFLP genotyping method. These 27 SNPs were also mapped to 7 genes according to their genomic position. Furtherly, 5 of these 7 genes were tested using qPCR. Results show that the CYP2D6, WBP2NL, ESR1 and TGFBR3 mRNA expression levels of hens with long DF were significantly higher than the hens with short DF (P < 0.05). Overall, findings in our research provide new insight into the genetic basis of duration-of-fertility in breeding hens while providing new clues for further functional validation on the DF-related genetic regulation mechanism and improvement of DF through chicken breeding.
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Affiliation(s)
- Wei Luo
- Institute of Biotechnology of Guilin Medical University, Guilin, Guangxi, China
| | - Xishi Huang
- Institute of Biotechnology of Guilin Medical University, Guilin, Guangxi, China
| | - Jingxuan Li
- Institute of Biotechnology of Guilin Medical University, Guilin, Guangxi, China
| | - Lantao Gu
- Institute of Biotechnology of Guilin Medical University, Guilin, Guangxi, China.
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Lin JC, Daigle CL, Tang PC, Wang CK. Influence of sex hormones on the aggressive behavior during peck order establishment and stabilization in meat and egg type chickens. Poult Sci 2024; 103:103669. [PMID: 38603931 PMCID: PMC11017360 DOI: 10.1016/j.psj.2024.103669] [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: 12/06/2023] [Revised: 03/10/2024] [Accepted: 03/12/2024] [Indexed: 04/13/2024] Open
Abstract
In the poultry industry, broiler and layer strains are genetically selected for different purposes (e.g., high meat-yield and high egg-production). Genetic selection for productivity can have unintended consequences on the behavioral repertoire of the birds, including aggression. Alongside the increasing societal concern regarding the welfare of animal in agriculture, the number of countries that are advocating the prohibition of using battery cages for laying hens has resulted in the transition and adoption of cage-free or free-range systems. Thus, both broiler and layer chickens are housed in large flocks rather than housed individually in cages. Housing birds in groups increases the opportunity for birds to engage in social behaviors, including aggression, that are used to establish social status. Aggressive interactions are associated with the risk of injury and the potential for a subordinate animal to have unmet needs (e.g., access to feed). The aim of this study was to characterize the relationships among aggressive behavior, neurobiology, and hormones during peck order establishment and social hierarchy stabilization of 2 divergently selected strains (meat- and egg-type chicken). Meat-type strains performed more male on male (P < 0.001), male on female (P < 0.0001), and female on female (P < 0.0001) non-reciprocal aggression behavior (NRA) than egg-type strains. Greater serum testosterone and estradiol concentrations in the weeks after the peck order establishment were observed in meat-type birds compared those in egg-type birds for both males and females (all P < 0.05). Greater (P < 0.05) cellular densities of androgen receptors, but not estrogen receptors, were observed in the hypothalamus of meat-type birds compared to egg-type birds. These findings suggest that greater sex hormone concentrations in the meat-type birds may be a consequence of genetic selection for rapid growth resulting in more sex hormones-induced aggressive behavior.
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Affiliation(s)
- Jou-Ching Lin
- Department of Animal Science, National Chung Hsing University, Taichung 40227, Taiwan
| | - Courtney Lynd Daigle
- Department of Animal Science, Texas A&M University, Kleberg Center, College Station, TX 77843, USA
| | - Pin-Chi Tang
- Department of Animal Science, National Chung Hsing University, Taichung 40227, Taiwan; The iEGG and Animal Biotechnology Center, National Chung Hsing University, Taichung 40227, Taiwan.
| | - Chien-Kai Wang
- Department of Animal Science, National Chung Hsing University, Taichung 40227, Taiwan; The iEGG and Animal Biotechnology Center, National Chung Hsing University, Taichung 40227, Taiwan.
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6
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Yang S, Ning C, Yang C, Li W, Zhang Q, Wang D, Tang H. Identify Candidate Genes Associated with the Weight and Egg Quality Traits in Wenshui Green Shell-Laying Chickens by the Copy Number Variation-Based Genome-Wide Association Study. Vet Sci 2024; 11:76. [PMID: 38393094 PMCID: PMC10892766 DOI: 10.3390/vetsci11020076] [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: 12/18/2023] [Revised: 02/03/2024] [Accepted: 02/04/2024] [Indexed: 02/25/2024] Open
Abstract
Copy number variation (CNV), as an essential source of genetic variation, can have an impact on gene expression, genetic diversity, disease susceptibility, and species evolution in animals. To better understand the weight and egg quality traits of chickens, this paper aimed to detect CNVs in Wenshui green shell-laying chickens and conduct a copy number variation regions (CNVRs)-based genome-wide association study (GWAS) to identify variants and candidate genes associated with their weight and egg quality traits to support related breeding efforts. In our paper, we identified 11,035 CNVRs in Wenshui green shell-laying chickens, which collectively spanned a length of 13.1 Mb, representing approximately 1.4% of its autosomal genome. Out of these CNVRs, there were 10,446 loss types, 491 gain types, and 98 mixed types. Notably, two CNVRs showed significant correlations with egg quality, while four CNVRs exhibited significant associations with body weight. These significant CNVRs are located on chromosome 4. Further analysis identified potential candidate genes that influence weight and egg quality traits, including FAM184B, MED28, LAP3, ATOH8, ST3GAL5, LDB2, and SORCS2. In this paper, the CNV map of the Wenshui green shell-laying chicken genome was constructed for the first time through population genotyping. Additionally, CNVRs can be employed as molecular markers to genetically improve chickens' weight and egg quality traits.
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Affiliation(s)
- Suozhou Yang
- Key Laboratory of Efficient Utilization of Non-Grain Feed Resources (Co-Construction by Ministry and Province), Ministry of Agriculture and Rural Affairs, Shandong Agricultural University, 61 Daizong Street, Tai’an 271018, China; (S.Y.); (C.N.); (C.Y.); (W.L.)
- Shandong Provincial Key Laboratory of Animal Biotechnology and Disease Control and Prevention, Shandong Agricultural University, 61 Daizong Street, Tai’an 271018, China;
| | - Chao Ning
- Key Laboratory of Efficient Utilization of Non-Grain Feed Resources (Co-Construction by Ministry and Province), Ministry of Agriculture and Rural Affairs, Shandong Agricultural University, 61 Daizong Street, Tai’an 271018, China; (S.Y.); (C.N.); (C.Y.); (W.L.)
- Shandong Provincial Key Laboratory of Animal Biotechnology and Disease Control and Prevention, Shandong Agricultural University, 61 Daizong Street, Tai’an 271018, China;
| | - Cheng Yang
- Key Laboratory of Efficient Utilization of Non-Grain Feed Resources (Co-Construction by Ministry and Province), Ministry of Agriculture and Rural Affairs, Shandong Agricultural University, 61 Daizong Street, Tai’an 271018, China; (S.Y.); (C.N.); (C.Y.); (W.L.)
- Shandong Provincial Key Laboratory of Animal Biotechnology and Disease Control and Prevention, Shandong Agricultural University, 61 Daizong Street, Tai’an 271018, China;
| | - Wenqiang Li
- Key Laboratory of Efficient Utilization of Non-Grain Feed Resources (Co-Construction by Ministry and Province), Ministry of Agriculture and Rural Affairs, Shandong Agricultural University, 61 Daizong Street, Tai’an 271018, China; (S.Y.); (C.N.); (C.Y.); (W.L.)
- Shandong Provincial Key Laboratory of Animal Biotechnology and Disease Control and Prevention, Shandong Agricultural University, 61 Daizong Street, Tai’an 271018, China;
| | - Qin Zhang
- Shandong Provincial Key Laboratory of Animal Biotechnology and Disease Control and Prevention, Shandong Agricultural University, 61 Daizong Street, Tai’an 271018, China;
- College of Animal Science and Technology, China Agricultural University, Beijing 100083, China
| | - Dan Wang
- Key Laboratory of Efficient Utilization of Non-Grain Feed Resources (Co-Construction by Ministry and Province), Ministry of Agriculture and Rural Affairs, Shandong Agricultural University, 61 Daizong Street, Tai’an 271018, China; (S.Y.); (C.N.); (C.Y.); (W.L.)
- Shandong Provincial Key Laboratory of Animal Biotechnology and Disease Control and Prevention, Shandong Agricultural University, 61 Daizong Street, Tai’an 271018, China;
| | - Hui Tang
- Key Laboratory of Efficient Utilization of Non-Grain Feed Resources (Co-Construction by Ministry and Province), Ministry of Agriculture and Rural Affairs, Shandong Agricultural University, 61 Daizong Street, Tai’an 271018, China; (S.Y.); (C.N.); (C.Y.); (W.L.)
- Shandong Provincial Key Laboratory of Animal Biotechnology and Disease Control and Prevention, Shandong Agricultural University, 61 Daizong Street, Tai’an 271018, China;
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Krunt O, Zita L, Kraus A, Moravcsíková Á, Frühauf Kolářová M, Bartoš L. Effects of Genotype and Housing System on Rabbit Does' Aggressive Behaviors and Injuries in Smallholding Conditions. Animals (Basel) 2023; 13:ani13081357. [PMID: 37106920 PMCID: PMC10135181 DOI: 10.3390/ani13081357] [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: 03/21/2023] [Revised: 04/12/2023] [Accepted: 04/13/2023] [Indexed: 04/29/2023] Open
Abstract
The objective of the study was to investigate the effects of housing (deep litter + concrete floor vs. deep litter + ground soil with the possibility to dig burrows), and genotype (Mecklenburg or Hyplus) on aggressive behaviour, social contacts, does' and kits' injuries, and progeny mortality. Twelve groups of six rabbit does (n = 72) were assigned to four treatments (two housing systems and two genotypes). Aggressive behaviour of does, number of injuries on does and kits, and postnatal kit mortality were recorded. The effects of housing and genotype were tested using multivariate GLMM Models. We found that the housing treatment in interaction with the genotype had a significant effect on aggressive behaviours in group housed does (F3,12 = 14.34, p = 0.0003), where the lowest incidence of aggression was in Mecklenburg does housed on ground soil. Reduced aggression was reflected in a lower number of injuries in does (F3,68 = 10.51, p < 0.0001), number of injuries in kits, and kit mortality (F3,1 = 4.59, p < 0.0001, F3,54 = 43.94, p < 0.0001). The results indicate that the proper combination of genotype and housing should be carefully considered for breeding to reduce aggression and injury in group housed does.
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Affiliation(s)
- Ondřej Krunt
- Department of Animal Science, Faculty of Agrobiology, Food and Natural Resources, Czech University of Life Sciences Prague, Kamýcká 129, Suchdol, 165 00 Prague, Czech Republic
| | - Lukáš Zita
- Department of Animal Science, Faculty of Agrobiology, Food and Natural Resources, Czech University of Life Sciences Prague, Kamýcká 129, Suchdol, 165 00 Prague, Czech Republic
| | - Adam Kraus
- Department of Animal Science, Faculty of Agrobiology, Food and Natural Resources, Czech University of Life Sciences Prague, Kamýcká 129, Suchdol, 165 00 Prague, Czech Republic
| | - Ágnes Moravcsíková
- Department of Ethology and Companion Animal Science, Faculty of Agrobiology, Food and Natural Resources, Czech University of Life Sciences Prague, Kamýcká 129, Suchdol, 165 00 Prague, Czech Republic
- Institute of Animal Science, Přátelství 815, 104 00 Prague, Czech Republic
| | - Martina Frühauf Kolářová
- Department of Veterinary Sciences, Faculty of Agrobiology, Food and Natural Resources, Czech University of Life Sciences Prague, Kamýcká 129, Suchdol, 165 00 Prague, Czech Republic
| | - Luděk Bartoš
- Institute of Animal Science, Přátelství 815, 104 00 Prague, Czech Republic
- Department of Game Management and Wildlife Biology, Faculty of Forestry and Wood Sciences, Czech University of Life Sciences Prague, Kamýcká 129, Suchdol, 165 00 Prague, Czech Republic
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Chen X, Bai X, Liu H, Zhao B, Yan Z, Hou Y, Chu Q. Population Genomic Sequencing Delineates Global Landscape of Copy Number Variations that Drive Domestication and Breed Formation of in Chicken. Front Genet 2022; 13:830393. [PMID: 35391799 PMCID: PMC8980806 DOI: 10.3389/fgene.2022.830393] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2021] [Accepted: 02/14/2022] [Indexed: 12/31/2022] Open
Abstract
Copy number variation (CNV) is an important genetic mechanism that drives evolution and generates new phenotypic variations. To explore the impact of CNV on chicken domestication and breed shaping, the whole-genome CNVs were detected via multiple methods. Using the whole-genome sequencing data from 51 individuals, corresponding to six domestic breeds and wild red jungle fowl (RJF), we determined 19,329 duplications and 98,736 deletions, which covered 11,123 copy number variation regions (CNVRs) and 2,636 protein-coding genes. The principal component analysis (PCA) showed that these individuals could be divided into four populations according to their domestication and selection purpose. Seventy-two highly duplicated CNVRs were detected across all individuals, revealing pivotal roles of nervous system (NRG3, NCAM2), sensory (OR), and follicle development (VTG2) in chicken genome. When contrasting the CNVs of domestic breeds to those of RJFs, 235 CNVRs harboring 255 protein-coding genes, which were predominantly involved in pathways of nervous, immunity, and reproductive system development, were discovered. In breed-specific CNVRs, some valuable genes were identified, including HOXB7 for beard trait in Beijing You chicken; EDN3, SLMO2, TUBB1, and GFPT1 for melanin deposition in Silkie chicken; and SORCS2 for aggressiveness in Luxi Game fowl. Moreover, CSMD1 and NTRK3 with high duplications found exclusively in White Leghorn chicken, and POLR3H, MCM9, DOCK3, and AKR1B1L found in Recessive White Rock chicken may contribute to high egg production and fast-growing traits, respectively. The candidate genes of breed characteristics are valuable resources for further studies on phenotypic variation and the artificial breeding of chickens.
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Affiliation(s)
- Xia Chen
- Institute of Animal Husbandry and Veterinary Medicine, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China
| | - Xue Bai
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China.,China National Center for Bioinformation, Beijing, China
| | - Huagui Liu
- Institute of Animal Husbandry and Veterinary Medicine, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China
| | - Binbin Zhao
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China.,China National Center for Bioinformation, Beijing, China
| | - Zhixun Yan
- Institute of Animal Husbandry and Veterinary Medicine, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China
| | - Yali Hou
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China.,China National Center for Bioinformation, Beijing, China.,College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Qin Chu
- Institute of Animal Husbandry and Veterinary Medicine, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China
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Zhao J, Gao S, Guo Y, Xu Q, Liu M, Zhang C, Cheng M, Zhao X, Schinckel AP, Zhou B. Functionally Antagonistic Transcription Factors IRF1 and IRF2 Regulate the Transcription of the Dopamine Receptor D2 Gene Associated with Aggressive Behavior of Weaned Pigs. BIOLOGY 2022; 11:biology11010135. [PMID: 35053133 PMCID: PMC8773180 DOI: 10.3390/biology11010135] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Revised: 01/08/2022] [Accepted: 01/12/2022] [Indexed: 11/16/2022]
Abstract
Aggressive behavior has negative effects on animal welfare and growth performance in pigs. The dopamine receptor D2 (DRD2) has a critical neuromodulator role in the dopamine signal pathway within the brain to control behavior. A functional single-nucleotide polymorphism (SNP), rs1110730503, in the promoter region of the porcine DRD2 gene was identified, which affects aggressive behavior in pigs. A chromatin immunoprecipitation (ChIP) assay was used to identify the interactions between interferon regulatory factor 1 (IRF1) and IRF2 with the DRD2 gene. The overexpression or knockdown of these two transcription factors in porcine kidney-15 (PK15) and porcine neuronal cells (PNCs) indicate that the binding of IRF1 to DRD2 promotes the transcription of the DRD2 gene, but the binding of IRF2 to the DRD2 gene inhibits its transcription. Furthermore, IRF1 and IRF2 are functionally antagonistic to each other. The downregulation of DRD2 or upregulation of IRF2 increased the apoptosis rate of porcine neuroglial cells. Taken together, we found that transcriptional factors IRF1 and IRF2 have vital roles in regulating the transcription of the DRD2 gene, and rs1110730503 (−915A/T) is a functional SNP that influences IRF2 binding to the promoter of the DRD2 gene. These findings will provide further insight towards controlling aggressive behavior in pigs.
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Affiliation(s)
- Jing Zhao
- College of Animal Science and Technology, Nanjing Agricultural University, Nanjing 210095, China; (J.Z.); (S.G.); (Y.G.); (Q.X.); (M.L.); (C.Z.); (M.C.); (X.Z.)
| | - Siyuan Gao
- College of Animal Science and Technology, Nanjing Agricultural University, Nanjing 210095, China; (J.Z.); (S.G.); (Y.G.); (Q.X.); (M.L.); (C.Z.); (M.C.); (X.Z.)
| | - Yanli Guo
- College of Animal Science and Technology, Nanjing Agricultural University, Nanjing 210095, China; (J.Z.); (S.G.); (Y.G.); (Q.X.); (M.L.); (C.Z.); (M.C.); (X.Z.)
| | - Qinglei Xu
- College of Animal Science and Technology, Nanjing Agricultural University, Nanjing 210095, China; (J.Z.); (S.G.); (Y.G.); (Q.X.); (M.L.); (C.Z.); (M.C.); (X.Z.)
| | - Mingzheng Liu
- College of Animal Science and Technology, Nanjing Agricultural University, Nanjing 210095, China; (J.Z.); (S.G.); (Y.G.); (Q.X.); (M.L.); (C.Z.); (M.C.); (X.Z.)
| | - Chunlei Zhang
- College of Animal Science and Technology, Nanjing Agricultural University, Nanjing 210095, China; (J.Z.); (S.G.); (Y.G.); (Q.X.); (M.L.); (C.Z.); (M.C.); (X.Z.)
| | - Meng Cheng
- College of Animal Science and Technology, Nanjing Agricultural University, Nanjing 210095, China; (J.Z.); (S.G.); (Y.G.); (Q.X.); (M.L.); (C.Z.); (M.C.); (X.Z.)
| | - Xianle Zhao
- College of Animal Science and Technology, Nanjing Agricultural University, Nanjing 210095, China; (J.Z.); (S.G.); (Y.G.); (Q.X.); (M.L.); (C.Z.); (M.C.); (X.Z.)
| | - Allan P. Schinckel
- Department of Animal Sciences, Purdue University, West Lafayette, IN 47907-2054, USA;
| | - Bo Zhou
- College of Animal Science and Technology, Nanjing Agricultural University, Nanjing 210095, China; (J.Z.); (S.G.); (Y.G.); (Q.X.); (M.L.); (C.Z.); (M.C.); (X.Z.)
- Correspondence:
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10
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Rostamzadeh Mahdabi E, Esmailizadeh A, Ayatollahi Mehrgardi A, Asadi Fozi M. A genome-wide scan to identify signatures of selection in two Iranian indigenous chicken ecotypes. Genet Sel Evol 2021; 53:72. [PMID: 34503452 PMCID: PMC8428137 DOI: 10.1186/s12711-021-00664-9] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2021] [Accepted: 08/25/2021] [Indexed: 11/10/2022] Open
Abstract
Background Various regions of the chicken genome have been under natural and artificial selection for thousands of years. The substantial diversity that exits among chickens from different geographic regions provides an excellent opportunity to investigate the genomic regions under selection which, in turn, will increase our knowledge about the mechanisms that underlie chicken diversity and adaptation. Several statistics have been developed to detect genomic regions that are under selection. In this study, we applied approaches based on differences in allele or haplotype frequencies (FST and hapFLK, respectively) between populations, differences in long stretches of consecutive homozygous sequences (ROH), and differences in allele frequencies within populations (composite likelihood ratio (CLR)) to identify inter- and intra-populations traces of selection in two Iranian indigenous chicken ecotypes, the Lari fighting chicken and the Khazak or creeper (short-leg) chicken. Results Using whole-genome resequencing data of 32 individuals from the two chicken ecotypes, approximately 11.9 million single nucleotide polymorphisms (SNPs) were detected and used in genomic analyses after quality processing. Examination of the distribution of ROH in the two populations indicated short to long ROH, ranging from 0.3 to 5.4 Mb. We found 90 genes that were detected by at least two of the four applied methods. Gene annotation of the detected putative regions under selection revealed candidate genes associated with growth (DCN, MEOX2 and CACNB1), reproduction (ESR1 and CALCR), disease resistance (S1PR1, ALPK1 and MHC-B), behavior pattern (AGMO, GNAO1 and PSEN1), and morphological traits (IHH and NHEJ1). Conclusions Our findings show that these two phenotypically different indigenous chicken populations have been under selection for reproduction, immune, behavioral, and morphology traits. The results illustrate that selection can play an important role in shaping signatures of differentiation across the genomic landscape of two chicken populations. Supplementary Information The online version contains supplementary material available at 10.1186/s12711-021-00664-9.
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Affiliation(s)
- Elaheh Rostamzadeh Mahdabi
- Department of Animal Science, Faculty of Agriculture, Shahid Bahonar University of Kerman, 22 Bahman Blvd, Kerman, Iran
| | - Ali Esmailizadeh
- Department of Animal Science, Faculty of Agriculture, Shahid Bahonar University of Kerman, 22 Bahman Blvd, Kerman, Iran
| | - Ahmad Ayatollahi Mehrgardi
- Department of Animal Science, Faculty of Agriculture, Shahid Bahonar University of Kerman, 22 Bahman Blvd, Kerman, Iran
| | - Masood Asadi Fozi
- Department of Animal Science, Faculty of Agriculture, Shahid Bahonar University of Kerman, 22 Bahman Blvd, Kerman, Iran.
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11
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Ueno T, Takahashi Y. Mitochondrial polymorphism shapes intrapopulation behavioural variation in wild Drosophila. Biol Lett 2021; 17:20210194. [PMID: 34314641 PMCID: PMC8315832 DOI: 10.1098/rsbl.2021.0194] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2021] [Accepted: 07/05/2021] [Indexed: 11/12/2022] Open
Abstract
Intrapopulation variation in behaviour, including activity, boldness and aggressiveness, is becoming more widely recognized and is hypothesized to substantially affect ecological and evolutionary dynamics. Although previous studies used candidate-gene approaches and genome-wide association analyses to identify genes correlated with variations in activity and aggressiveness, behavioural variation may not be fully captured in the nuclear genome, as it does not account for mitochondrial genomes. Mitochondrial genes encode products that are key regulators of the cellular energy-producing pathways in metabolic processes and are thought to play a significant role in life-history and reproductive traits. In this study, we considered many isofemale lines of Drosophila immigrans established from two wild populations to investigate whether intrapopulation variation in the mitochondrial genome affected activity level within this species. We identified two major haplogroups in these populations, and activity levels in both larvae and adults differed significantly between the two haplogroups. This result indicated that intrapopulation variation in activity level may be partially controlled by mitochondrial genes, along with the interaction between nuclear and mitochondrial genes and the age of individual organisms.
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Affiliation(s)
- Takahisa Ueno
- Graduate School of Science and Engineering, Chiba University, Chiba, Japan
| | - Yuma Takahashi
- Graduate School of Science, Chiba University, Chiba, Japan
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12
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Yang J, Ma Q, Dincheva I, Giza J, Jing D, Marinic T, Milner TA, Rajadhyaksha A, Lee FS, Hempstead BL. SorCS2 is required for social memory and trafficking of the NMDA receptor. Mol Psychiatry 2021; 26:927-940. [PMID: 31988435 DOI: 10.1038/s41380-020-0650-7] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/02/2018] [Revised: 11/21/2019] [Accepted: 12/02/2019] [Indexed: 11/09/2022]
Abstract
Social memory processing requires functional CA2 neurons, however the specific mechanisms that regulate their activity are poorly understood. Here, we document that SorCS2, a member of the family of the Vps10 family of sorting receptors, is highly expressed in pyramidal neurons of CA2, as well as ventral CA1, a circuit implicated in social memory. SorCS2 specifically localizes to the postsynaptic density and endosomes within dendritic spines of CA2 neurons. We have discovered that SorCS2 is a selective regulator of NMDA receptor surface trafficking in hippocampal neurons, without altering AMPA receptor trafficking. In addition, SorCS2 regulates dendritic spine density in CA2 neurons where SorCS2 expression is enriched, but not in dorsal CA1 neurons, which normally express very low levels of this protein. To specifically test the role of SorCS2 in behavior, we generated a novel SorCS2-deficient mouse, and identify a significant social memory deficit, with no change in sociability, olfaction, anxiety, or several hippocampal-dependent behaviors. Mutations in sorCS2 have been associated with bipolar disease, schizophrenia, and attention deficient-hyperactivity disorder, and abnormalities in social memory are core components of these neuropsychiatric conditions. Thus, our findings provide a new mechanism for social memory formation, through regulating synaptic receptor trafficking in pyramidal neurons by SorCS2.
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Affiliation(s)
- Jianmin Yang
- Key Laboratory of Shaanxi Province for Craniofacial Precision Medicine Research, College of Stomatology, Xi'an Jiaotong University, Xi'an, Shaanxi, 710004, PR China. .,Division of Hematology and Medical Oncology, Weill Cornell Medical College, New York, NY, 10065, USA.
| | - Qian Ma
- Division of Hematology and Medical Oncology, Weill Cornell Medical College, New York, NY, 10065, USA
| | - Iva Dincheva
- Department of Psychiatry, Weill Cornell Medical College, New York, NY, 10065, USA
| | - Joanna Giza
- Department of Psychiatry, Weill Cornell Medical College, New York, NY, 10065, USA.,Department of Science, Borough of Manhattan Community College, The City University of New York, 199 Chambers Street N699J, New York, NY, 10007, USA
| | - Deqiang Jing
- Department of Psychiatry, Weill Cornell Medical College, New York, NY, 10065, USA
| | - Tina Marinic
- Division of Hematology and Medical Oncology, Weill Cornell Medical College, New York, NY, 10065, USA
| | - Teresa A Milner
- Feil Family Brain and Mind Research Institute, Weill Cornell Medical College, 1300 York Avenue, New York, NY, 10065, USA.,Laboratory of Neuroendocrinology, The Rockefeller University, 1230 York Avenue, New York, NY, 10065, USA
| | | | - Francis S Lee
- Department of Psychiatry, Weill Cornell Medical College, New York, NY, 10065, USA
| | - Barbara L Hempstead
- Division of Hematology and Medical Oncology, Weill Cornell Medical College, New York, NY, 10065, USA.
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13
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Marchesi JAP, Ono RK, Cantão ME, Ibelli AMG, Peixoto JDO, Moreira GCM, Godoy TF, Coutinho LL, Munari DP, Ledur MC. Exploring the genetic architecture of feed efficiency traits in chickens. Sci Rep 2021; 11:4622. [PMID: 33633287 PMCID: PMC7907133 DOI: 10.1038/s41598-021-84125-9] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2020] [Accepted: 02/12/2021] [Indexed: 11/09/2022] Open
Abstract
Chicken feed efficiency (FE) traits are the most important economic traits in broiler production. Several studies evaluating genetic factors affecting food consumption in chickens are available. However, most of these studies identified genomic regions containing putative quantitative trait loci for each trait separately. It is still a challenge to find common gene networks related to these traits. Therefore, here, a genome-wide association study (GWAS) was conducted to explore candidate genomic regions responsible for Feed Intake (FI), Body Weight Gain (BWG) and Feed Conversion Ratio (FCR) traits and their gene networks. A total of 1430 broilers from an experimental population was genotyped with the high density Affymetrix 600K SNP array. A total of 119 associated SNPs located in 20 chromosomes were identified, where some of them were common in more than one FE trait. In addition, novel genomic regions were prospected considering the SNPs dominance effects and sex interaction, identifying putative candidate genes only when these effects were fit in the model. Relevant candidate genes such as ATRNL1, PIK3C2A, PTPRN2, SORCS3 and gga-mir-1759 were highlighted in this study helping to elucidate the genomic architecture of feed efficiency traits. These results provide new insights on the mechanisms underlying the consumption and utilization of food in chickens.
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Affiliation(s)
- Jorge Augusto Petroli Marchesi
- Faculdade de Ciências Agrárias e Veterinárias, Universidade Estadual Paulista "Júlio de Mesquita Filho", Jaboticabal, SP, 14884-900, Brazil.,Departamento de Genética, Universidade de São Paulo, Ribeirão Preto, SP, 14049-900, Brazil
| | - Rafael Keith Ono
- Embrapa Suínos e Aves, Concórdia, SC, 89715-899, Brazil.,Pamplona Alimentos S/A, Rio do Sul, SC, 89164-900, Brazil
| | | | | | | | - Gabriel Costa Monteiro Moreira
- Departamento de Zootecnia, Escola Superior de Agricultura "Luiz de Queiroz", Universidade de São Paulo, Av. Pádua Dias 11, Piracicaba, SP, 13419-900, Brazil
| | - Thaís Fernanda Godoy
- Departamento de Zootecnia, Escola Superior de Agricultura "Luiz de Queiroz", Universidade de São Paulo, Av. Pádua Dias 11, Piracicaba, SP, 13419-900, Brazil
| | - Luiz Lehmann Coutinho
- Departamento de Zootecnia, Escola Superior de Agricultura "Luiz de Queiroz", Universidade de São Paulo, Av. Pádua Dias 11, Piracicaba, SP, 13419-900, Brazil
| | - Danísio Prado Munari
- Faculdade de Ciências Agrárias e Veterinárias, Universidade Estadual Paulista "Júlio de Mesquita Filho", Jaboticabal, SP, 14884-900, Brazil
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Iffland H, Schmid M, Preuß S, Bessei W, Tetens J, Bennewitz J. Phenotypic and genomic analyses of agonistic interactions in laying hen lines divergently selected for feather pecking. Appl Anim Behav Sci 2021. [DOI: 10.1016/j.applanim.2020.105177] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
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15
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Chenxuan H, Qiaoxian Y, Yifan C, Dehe W, Rongyan Z, Guoxian Z, Hui C. Effects of in ovo injection of serotonin on behavior and hypothalamic genes expression in post hatch-chicks. Appl Anim Behav Sci 2021. [DOI: 10.1016/j.applanim.2020.105176] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
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16
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Genome diversity of Chinese indigenous chicken and the selective signatures in Chinese gamecock chicken. Sci Rep 2020; 10:14532. [PMID: 32883984 PMCID: PMC7471287 DOI: 10.1038/s41598-020-71421-z] [Citation(s) in RCA: 45] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2020] [Accepted: 08/03/2020] [Indexed: 02/07/2023] Open
Abstract
Gamecock chickens are one of the earliest recorded birds in China, and have accumulated some unique morphological and behavioral signatures such as large body size, muscularity and aggressive behavior, whereby being excellent breeding materials and a good model for studying bird muscular development and behavior. In this study, we sequenced 126 chicken genomes from 19 populations, including four commercial chicken breeds that are commonly farmed in China, 13 nationwide Chinese typical indigenous chicken breeds (including two Chinese gamecock breeds), one red jungle fowl from Guangxi Province of China and three gamecock chickens from Laos. Combined with 31 published chicken genomes from three populations, a comparative genomics analysis was performed across 157 chickens. We found a severe confounding effect on potential cold adaptation exerted by introgression from commercial chickens into Chinese indigenous chickens, and argued that the genetic introgression from commercial chickens into indigenous chickens should be seriously considered for identifying selection footprint in indigenous chickens. LX gamecock chickens might have played a core role in recent breeding and conservation of other Chinese gamecock chickens. Importantly, AGMO (Alkylglycerol monooxygenase) and CPZ (Carboxypeptidase Z) might be crucial for determining the behavioral pattern of gamecock chickens, while ISPD (Isoprenoid synthase domain containing) might be essential for the muscularity of gamecock chickens. Our results can further the understanding of the evolution of Chinese gamecock chickens, especially the genetic basis of gamecock chickens revealed here was valuable for us to better understand the mechanisms underlying the behavioral pattern and the muscular development in chicken.
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17
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Tonic Immobility and Open Field Responses in Nagoya, White Leghorn, and White Plymouth Rock Chicks. J Poult Sci 2020; 57:183-191. [PMID: 32733151 PMCID: PMC7387945 DOI: 10.2141/jpsa.0190085] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
Innate fear responses to tonic immobility (TI) and open field (OF) were evaluated in newly hatched chicks of three breeds with distinct breed origin and genetic relationships. The breeds studied were Nagoya (NAG), a native Japanese breed; White Leghorn (WL), a representative of layers; and White Plymouth Rock (WPR), a parental breed of common broilers. The TI test revealed that WL was the most sensitive to extensive fear evoked by the TI test among the three breeds, followed in order by WPR, and NAG. In contrast, the OF test revealed that NAG was the most sensitive to mild fear evoked by the OF test, followed in order by WPR, and WL. The different fear responses between NAG and WL were supported by minimal phenotypic correlations between TI and OF traits in each breed. These results demonstrated that NAG and WL breeds exhibit extreme and opposite responses to TI and OF fears.
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18
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Abstract
Although the fighting behaviour in gamecocks has evolved because of artificial selection, it is unknown whether the selection for aggressiveness affects neurotransmitter levels in the avian central nervous system. We sought to identify the source and origin of this trait. We collected the brain samples from 6 female Shamo gamecocks and 5 Shaver Brown chickens (control; bred for egg production). The midbrain levels of norepinephrine (NE) were significantly higher in Shamo gamecocks (P = 0.0087) than in the controls. Moreover, alleles encoding adrenergic receptors differed between the breeds in terms of response to NE. Gene mutations specific to Shamo and potentially associated with fighting behaviour were in sites T440N of ADRα1D; V296I of ADRα2A; and T44I, Q232R, and T277M of ADRβ2. The evolutionary analysis indicated that the ADRβ2 (T44I and Q232R) mutations were heritable in all Galliformes, whereas the T440N mutation of ADRα1D and V296I mutations of ADRα2A were unique to Shamo and originated by artificial selection. A high NE level may confer a selective advantage by enabling gamecocks to be aggressive and pain tolerant. Therefore, the strong fighting behaviour of Shamo has resulted from a combination of naturally inherited and mutant genes derived by artificial selection.
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19
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Nie C, Ban L, Ning Z, Qu L. Feather colour affects the aggressive behaviour of chickens with the same genotype on the dominant white (I) locus. PLoS One 2019; 14:e0215921. [PMID: 31048862 PMCID: PMC6497237 DOI: 10.1371/journal.pone.0215921] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2018] [Accepted: 04/10/2019] [Indexed: 11/18/2022] Open
Abstract
Aggression in chickens is a serious economic and animal welfare issue in poultry farming. Pigmentation traits have been documented to be associated with animal behaviour. Chicken pecking behaviour has been found to be related to feather colour, with premelanosome protein 17 (PMEL17) being one of the candidate genes. In the present study, we performed a genotypic and phenotypic association analysis between chicken plumage colour (red and white) and aggressive behaviour in an F1 hybrid group generated by crossing the autosomal dominant white-feathered breed White Leghorn (WL) and the red-feathered breed Rhode Island Red (RIR). In genetic theory, all the progeny should have white feathers because WL is homozygous autosomal dominant for white feathers. However, we found a few red-feathered female chickens. We compared the aggressiveness between the red and white females to determine whether the feather colour alone affected the behaviour, given that the genetic background should be the same except for feather colour. The aggressiveness was recorded 5 days after sexual maturity at 26 weeks. Generally, white plumage hens showed significantly higher aggressiveness compared to the red ones in chasing, attacking, pecking, and threatening behaviour traits. We assessed three candidate feather colour genes—PMEL17, solute carrier family 45 member 2 (SLC45A2), and SRY-box 10 (SOX10)—to determine the genetic basis for the red and white feather colour in our hybrid population; there was no association between the three loci and feather colour. The distinct behavioural findings observed herein provide clues to the mechanisms underlying the association between phenotype and behaviour in chickens. We suggest that mixing red and white chickens together might reduce the occurrence of aggressive behaviours.
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Affiliation(s)
- Changsheng Nie
- State Key Laboratory of Animal Nutrition, Department of Animal Genetics and Breeding, National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Liping Ban
- College of grassland science and technology, China Agricultural University, Beijing, China
| | - Zhonghua Ning
- State Key Laboratory of Animal Nutrition, Department of Animal Genetics and Breeding, National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Lujiang Qu
- State Key Laboratory of Animal Nutrition, Department of Animal Genetics and Breeding, National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, China
- * E-mail:
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20
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Li G, Zhang T, Zhang G, Chen L, Han W, Guojun Dai, Xie K, Zhu X, Su Y, Wang J. Analysis of gene co-expression networks and function modules at different developmental stages of chicken breast muscle. Biochem Biophys Res Commun 2019; 508:177-183. [PMID: 30471858 DOI: 10.1016/j.bbrc.2018.11.044] [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: 10/29/2018] [Accepted: 11/07/2018] [Indexed: 11/17/2022]
Abstract
The development of poultry muscle fibers after hatching is closely related to meat quality and production efficiency. It is necessary to identify functional modules (groups of functionally related genes) related to muscle development at different developmental stages, and to investigate their relationships based on the weighted gene co-expression network analysis (WGCNA) methods. Accordingly, we investigated the co-expression associations between genes related to chicken breast muscle at four different developmental stages (between 2 and 14 weeks of age), and systematically analyzed the network topology in Jinmao Hua chicken. As a result, 2341 differentially expressed genes were identified and subjected to co-expression analysis. Four modules were identified to be related to a particular growth stage for the development of breast muscle. A series of genes with the highest connectivity were identified in the pink (2 weeks), yellow (6 weeks), green (10 weeks) and black modules (14 weeks), respectively, and visualized by Cytoscape. These hub genes (FGF, MAPKAPK5, NRG1, SCD, ACSL1, PPAR etc.) were mainly enriched in 15 pathways, such as MAPK signaling pathway, NRG/ErbB signaling pathway, and insulin signaling pathway. They shared biological functions related to development of breast muscle and adipogenesis. This is the first study of gene network with different stages of muscle development in Jinmao Hua chicken to observe co-expression patterns. It may contribute to the underlied molecular mechanisms of chicken breast muscle development.
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Affiliation(s)
- Guohui Li
- College of Animal Science and Technology, Yangzhou University, Yangzhou, Jiangsu, 225009, China; Poultry Institute, Chinese Academy of Agricultural Sciences, Yangzhou, Jiangsu, 225125, China.
| | - Tao Zhang
- College of Animal Science and Technology, Yangzhou University, Yangzhou, Jiangsu, 225009, China; International Cooperation Laboratory of Agriculture and Agriculture Products Safety, Yangzhou, Jiangsu, 225009, China
| | - Genxi Zhang
- College of Animal Science and Technology, Yangzhou University, Yangzhou, Jiangsu, 225009, China; International Cooperation Laboratory of Agriculture and Agriculture Products Safety, Yangzhou, Jiangsu, 225009, China
| | - Lan Chen
- College of Animal Science and Technology, Yangzhou University, Yangzhou, Jiangsu, 225009, China; International Cooperation Laboratory of Agriculture and Agriculture Products Safety, Yangzhou, Jiangsu, 225009, China
| | - Wei Han
- Poultry Institute, Chinese Academy of Agricultural Sciences, Yangzhou, Jiangsu, 225125, China
| | - Guojun Dai
- College of Animal Science and Technology, Yangzhou University, Yangzhou, Jiangsu, 225009, China
| | - Kaizhou Xie
- College of Animal Science and Technology, Yangzhou University, Yangzhou, Jiangsu, 225009, China; International Cooperation Laboratory of Agriculture and Agriculture Products Safety, Yangzhou, Jiangsu, 225009, China
| | - Xiaoyan Zhu
- Jiangsu Sandeli Animal Husbandry Development Co.,Ltd, Jintan, Jiangsu, 221000, China
| | - Yijun Su
- Poultry Institute, Chinese Academy of Agricultural Sciences, Yangzhou, Jiangsu, 225125, China
| | - Jinyu Wang
- College of Animal Science and Technology, Yangzhou University, Yangzhou, Jiangsu, 225009, China.
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Macrì S, Zoratto F, Chiarotti F, Laviola G. Can laboratory animals violate behavioural norms? Towards a preclinical model of conduct disorder. Neurosci Biobehav Rev 2018; 91:102-111. [DOI: 10.1016/j.neubiorev.2017.01.047] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2016] [Revised: 11/15/2016] [Accepted: 01/18/2017] [Indexed: 11/25/2022]
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Brinker T, Bijma P, Vereijken A, Ellen ED. The genetic architecture of socially-affected traits: a GWAS for direct and indirect genetic effects on survival time in laying hens showing cannibalism. Genet Sel Evol 2018; 50:38. [PMID: 30037326 PMCID: PMC6057005 DOI: 10.1186/s12711-018-0409-7] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2018] [Accepted: 07/06/2018] [Indexed: 12/01/2022] Open
Abstract
Background Cannibalism is an important welfare problem in the layer industry. Cannibalism is a social behavior where individual survival is affected by direct genetic effects (DGE) and indirect genetic effects (IGE). Previous studies analysed repeated binomial survival, instead of survival time, which improved accuracies of breeding value predictions. Our study aimed at identifying SNPs associated with DGE and IGE for survival time, and comparing results from models that analyse survival time and repeated binomial survival. Methods Survival data of three layer crosses (W1 * WA, W1 * WB, and W1 * WC) were used. Each individual had one survival time record and 13 monthly survival (0/1) records. Approximately 30,000 single nucleotide polymorphisms (SNPs) were included in the genome-wide association study (GWAS), using a linear mixed model for survival time, a linear mixed model and a generalized linear mixed model for repeated binomial survival (0/1). Backwards elimination was used to determine phenotypic and genetic variance explained by SNPs. Results The same quantitative trait loci were identified with all models. A SNP associated with DGE was found in cross W1 * WA, with an allele substitution effect of 22 days. This SNP explained 3% of the phenotypic variance, and 36% of the total genetic variance. Four SNPs associated with DGE were found in cross W1 * WB, with effects ranging from 16 to 35 days. These SNPs explained 1 to 6% of the phenotypic variance and 9 to 44% of the total genetic variance. Our results suggest a link of DGE and IGE for survival time in layers with the gamma-aminobutyric acid (GABA) system, since a SNP located near a gene for a GABA receptor was associated with DGE and with IGE (not significant). Conclusions This is one of the first large studies investigating the genetic architecture of a socially-affected trait. The power to detect SNP associations was relatively low and thus we expect that many effects on DGE and IGE remained undetected. Yet, GWAS results revealed SNPs with large DGE and a link of DGE and IGE for survival time in layers with the GABAergic system, which supports existing evidence for the involvement of GABA in the development of abnormal behaviors. Electronic supplementary material The online version of this article (10.1186/s12711-018-0409-7) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Tessa Brinker
- Animal Breeding and Genomics, Wageningen University and Research, P.O. Box 338, 6700 AH, Wageningen, The Netherlands
| | - Piter Bijma
- Animal Breeding and Genomics, Wageningen University and Research, P.O. Box 338, 6700 AH, Wageningen, The Netherlands
| | - Addie Vereijken
- Research and Technology Centre, Hendrix Genetics, P.O. Box 114, 5830 AC, Boxmeer, The Netherlands
| | - Esther D Ellen
- Animal Breeding and Genomics, Wageningen University and Research, P.O. Box 338, 6700 AH, Wageningen, The Netherlands.
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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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24
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Hao X, Plastow G, Zhang C, Xu S, Hu Z, Yang T, Wang K, Yang H, Yin X, Liu S, Wang Z, Wang Z, Zhang S. Genome-wide association study identifies candidate genes for piglet splay leg syndrome in different populations. BMC Genet 2017; 18:64. [PMID: 28679362 PMCID: PMC5499021 DOI: 10.1186/s12863-017-0532-4] [Citation(s) in RCA: 17] [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: 02/21/2017] [Accepted: 06/28/2017] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND Piglet splay leg syndrome (PSL) is one of the most frequent genetic defects, and can cause considerable economic loss in pig production. The present understanding of etiology and pathogenesis of PSL is poor. The current study focused on identifying loci associated with PSL through a genome-wide association study (GWAS) performed with the Illumina Porcine60 SNP Beadchip v2.0. The study was a case/control design with four pig populations (Duroc, Landrace, Yorkshire and one crossbred of Landrace × Yorkshire). RESULT After quality control of the genotyping data, 185 animals (73 cases, 112 controls) and 43,495 SNPs were retained for further analysis. Principal components (PCs) identified from the genomic kinship matrix were included in the statistical model for correcting the effect of population structure. Seven chromosome-wide significant SNPs were identified on Sus scrofa chromosome 1 (SSC1), SSC2 (2 SNPs), SSC7, SSC15 (2 SNPs) and SSC16 after strict Bonferroni correction. Four genes (HOMER1 and JMY on SSC2, ITGA1 on SSC16, and RAB32 on SSC1) related to muscle development, glycogen metabolism and mitochondrial dynamics were identified as potential candidate genes for PSL. CONCLUSIONS We identified seven chromosome-wide significant SNPs associated with PSL and four potential candidate genes for PSL. To our knowledge, this is the first pilot study aiming to identify the loci associated with PSL using GWAS. Further investigations and validations for those findings are encouraged.
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Affiliation(s)
- Xingjie Hao
- Key Lab of Breeding and Reproduction of Ministry of Education, Huazhong Agricultural University, Wuhan, Hubei 430070 China
- Livestock Gentec Center, Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, AB T6G 2C8 Canada
| | - Graham Plastow
- Livestock Gentec Center, Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, AB T6G 2C8 Canada
| | - Chunyan Zhang
- Livestock Gentec Center, Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, AB T6G 2C8 Canada
| | - Sutong Xu
- Key Lab of Breeding and Reproduction of Ministry of Education, Huazhong Agricultural University, Wuhan, Hubei 430070 China
| | - Zhiqiu Hu
- Livestock Gentec Center, Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, AB T6G 2C8 Canada
| | - Tianfu Yang
- Livestock Gentec Center, Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, AB T6G 2C8 Canada
| | - Kai Wang
- Key Lab of Breeding and Reproduction of Ministry of Education, Huazhong Agricultural University, Wuhan, Hubei 430070 China
| | - Huawei Yang
- Hubei Tianzhong Stock Corporation, Wuhan, Hubei China
| | - Xiaoxue Yin
- Hubei Tianzhong Stock Corporation, Wuhan, Hubei China
| | - Shili Liu
- Hubei Tianzhong Stock Corporation, Wuhan, Hubei China
| | - Zhenghua Wang
- Hubei Tianzhong Stock Corporation, Wuhan, Hubei China
| | - Zhiquan Wang
- Livestock Gentec Center, Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, AB T6G 2C8 Canada
| | - Shujun Zhang
- Key Lab of Breeding and Reproduction of Ministry of Education, Huazhong Agricultural University, Wuhan, Hubei 430070 China
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25
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Gorla E, Cozzi MC, Román-Ponce SI, Ruiz López FJ, Vega-Murillo VE, Cerolini S, Bagnato A, Strillacci MG. Genomic variability in Mexican chicken population using copy number variants. BMC Genet 2017; 18:61. [PMID: 28673234 PMCID: PMC5496433 DOI: 10.1186/s12863-017-0524-4] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2017] [Accepted: 06/12/2017] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Copy number variations are genome polymorphism that influence phenotypic variation and are an important source of genetic variation in populations. The aim of this study was to investigate genetic variability in the Mexican Creole chicken population using CNVs. RESULTS The Hidden Markov Model of the PennCNV software detected a total of 1924 CNVs in the genome of the 256 samples processed with Axiom® Genome-Wide Chicken Genotyping Array (Affymetrix). The mapped CNVs comprised 1538 gains and 386 losses, resulting at population level in 1216 CNV regions (CNVRs), of which 959 gains, 226 losses and 31 complex (i.e. containing both losses and gains). The CNVRs covered a total of 47 Mb of the whole genome sequence length, corresponding to 5.12% of the chicken galGal4 autosome assembly. CONCLUSIONS This study allowed a deep insight into the structural variation in the genome of unselected Mexican chicken population, which up to now has not been genetically characterized. The genomic study disclosed that the population, even if presenting extreme morphological variation, cannot be organized in differentiated genetic subpopulations. Finally this study provides a chicken CNV map based on the 600 K SNP chip array jointly with a genome-wide gene copy number estimates in a native unselected for more than 500 years chicken population.
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Affiliation(s)
- E. Gorla
- Department of Veterinary Medicine, Universitá degli Studi di Milano, Via Celoria 10, 20133 Milan, Italy
| | - M. C. Cozzi
- Department of Veterinary Medicine, Universitá degli Studi di Milano, Via Celoria 10, 20133 Milan, Italy
| | - S. I. Román-Ponce
- Centro Nacional de Investigación en Fisiología y Mejoramiento Animal, Instituto Nacional de Investigaciones Forestales, Agricola y Pecuarias (INIFAP), Km.1 Carretera a Colón, Auchitlán, 76280 Querétaro, CP Mexico
| | - F. J. Ruiz López
- Centro Nacional de Investigación en Fisiología y Mejoramiento Animal, Instituto Nacional de Investigaciones Forestales, Agricola y Pecuarias (INIFAP), Km.1 Carretera a Colón, Auchitlán, 76280 Querétaro, CP Mexico
| | - V. E. Vega-Murillo
- Centro Nacional de Investigación en Fisiología y Mejoramiento Animal, Instituto Nacional de Investigaciones Forestales, Agricola y Pecuarias (INIFAP), Melchor Ocampo # 234 Desp. 313, Col. Centro Veracruz, C.P. 91700 Veracruz, Mexico
| | - S. Cerolini
- Department of Veterinary Medicine, Universitá degli Studi di Milano, Via Celoria 10, 20133 Milan, Italy
| | - A. Bagnato
- Department of Veterinary Medicine, Universitá degli Studi di Milano, Via Celoria 10, 20133 Milan, Italy
| | - M. G. Strillacci
- Department of Veterinary Medicine, Universitá degli Studi di Milano, Via Celoria 10, 20133 Milan, Italy
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