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Kong S, Cai B, Li X, Zhou Z, Fang X, Yang X, Cai D, Luo X, Guo S, Nie Q. Assessment of selective breeding effects and selection signatures in Qingyuan partridge chicken and its strains. Poult Sci 2024; 103:103626. [PMID: 38513549 PMCID: PMC10966089 DOI: 10.1016/j.psj.2024.103626] [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: 12/22/2023] [Revised: 02/22/2024] [Accepted: 03/02/2024] [Indexed: 03/23/2024] Open
Abstract
Qingyuan partridge chicken (QYM) is a highly regarded native breed in China, highly esteemed for its exceptional breeding characteristics. However, the investigation into the selection signatures and its strains remains largely unexplored. In this study, blood sampling, DNA extracting, and high-depth resequencing were performed in 27 QYMs. Integrating the genomic data of 14 chicken (70 individuals) breeds from other researches, to analyze the genetic structure, selection signatures, and effects of selective breeding within QYM and its 3 strains (QYMA, QYMB, and QYMC). Population structure analysis revealed an independent QYM cluster, which exhibited distinct from other breeds, with each of its 3 strains displaying distinct clustering patterns. Linkage disequilibrium analysis highlighted QYMB's notably slower decay rate, potentially influenced by selection pressure from various production indicators. Examination of selection signatures uncovered genes and genetic mechanisms associated with genomic changes resulting from extensive selective breeding within the QYM and its strains. Intriguingly, diacylglycerol kinase beta (DGKB) and catenin alpha 2 (CTNNA2) were identified as commonly selected genes across the 3 QYM strains, linked to energy metabolism, muscle development, and fat metabolism. Our research validates the substantial impact of selective breeding on QYM and its strains, concurrently identifying genomic regions and signaling pathways associated with their distinctive characters. This research also establishes a fundamental framework for advancing yellow-feathered broiler breeding strategies.
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Affiliation(s)
- Shaofen Kong
- College of Animal Science, South China Agricultural University, Guangzhou, China; State Key Laboratory of Swine and Poultry Breeding Industry, Lingnan Guangdong Laboratory of Agriculture, College of Animal Science, South China Agricultural University, Guangzhou, China; Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, and Key Laboratory of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou, China
| | - Bolin Cai
- College of Animal Science, South China Agricultural University, Guangzhou, China; State Key Laboratory of Swine and Poultry Breeding Industry, Lingnan Guangdong Laboratory of Agriculture, College of Animal Science, South China Agricultural University, Guangzhou, China; Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, and Key Laboratory of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou, China
| | - Xiaojing Li
- College of Animal Science, South China Agricultural University, Guangzhou, China
| | - Zhen Zhou
- College of Animal Science, South China Agricultural University, Guangzhou, China; State Key Laboratory of Swine and Poultry Breeding Industry, Lingnan Guangdong Laboratory of Agriculture, College of Animal Science, South China Agricultural University, Guangzhou, China; Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, and Key Laboratory of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou, China
| | - Xiang Fang
- College of Animal Science, South China Agricultural University, Guangzhou, China; State Key Laboratory of Swine and Poultry Breeding Industry, Lingnan Guangdong Laboratory of Agriculture, College of Animal Science, South China Agricultural University, Guangzhou, China; Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, and Key Laboratory of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou, China
| | - Xin Yang
- College of Animal Science, South China Agricultural University, Guangzhou, China; State Key Laboratory of Swine and Poultry Breeding Industry, Lingnan Guangdong Laboratory of Agriculture, College of Animal Science, South China Agricultural University, Guangzhou, China; Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, and Key Laboratory of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou, China
| | - Danfeng Cai
- College of Animal Science, South China Agricultural University, Guangzhou, China; State Key Laboratory of Swine and Poultry Breeding Industry, Lingnan Guangdong Laboratory of Agriculture, College of Animal Science, South China Agricultural University, Guangzhou, China; Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, and Key Laboratory of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou, China
| | - Xuehui Luo
- Qingyuan Chicken Research Institute, Qingcheng District, Qingyuan City, China
| | - Suyin Guo
- Animal Epidemic Prevention Center, Qingcheng District, Qingyuan City, China
| | - Qinghua Nie
- College of Animal Science, South China Agricultural University, Guangzhou, China; State Key Laboratory of Swine and Poultry Breeding Industry, Lingnan Guangdong Laboratory of Agriculture, College of Animal Science, South China Agricultural University, Guangzhou, China; Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, and Key Laboratory of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou, China.
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Dementieva NV, Shcherbakov YS, Stanishevskaya OI, Vakhrameev AB, Larkina TA, Dysin AP, Nikolaeva OA, Ryabova AE, Azovtseva AI, Mitrofanova OV, Peglivanyan GK, Reinbach NR, Griffin DK, Romanov MN. Large-scale genome-wide SNP analysis reveals the rugged (and ragged) landscape of global ancestry, phylogeny, and demographic history in chicken breeds. J Zhejiang Univ Sci B 2024; 25:324-340. [PMID: 38584094 PMCID: PMC11009443 DOI: 10.1631/jzus.b2300443] [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: 06/21/2023] [Accepted: 10/10/2023] [Indexed: 04/09/2024]
Abstract
The worldwide chicken gene pool encompasses a remarkable, but shrinking, number of divergently selected breeds of diverse origin. This study was a large-scale genome-wide analysis of the landscape of the complex molecular architecture, genetic variability, and detailed structure among 49 populations. These populations represent a significant sample of the world's chicken breeds from Europe (Russia, Czech Republic, France, Spain, UK, etc.), Asia (China), North America (USA), and Oceania (Australia). Based on the results of breed genotyping using the Illumina 60K single nucleotide polymorphism (SNP) chip, a bioinformatic analysis was carried out. This included the calculation of heterozygosity/homozygosity statistics, inbreeding coefficients, and effective population size. It also included assessment of linkage disequilibrium and construction of phylogenetic trees. Using multidimensional scaling, principal component analysis, and ADMIXTURE-assisted global ancestry analysis, we explored the genetic structure of populations and subpopulations in each breed. An overall 49-population phylogeny analysis was also performed, and a refined evolutionary model of chicken breed formation was proposed, which included egg, meat, dual-purpose types, and ambiguous breeds. Such a large-scale survey of genetic resources in poultry farming using modern genomic methods is of great interest both from the viewpoint of a general understanding of the genetics of the domestic chicken and for the further development of genomic technologies and approaches in poultry breeding. In general, whole genome SNP genotyping of promising chicken breeds from the worldwide gene pool will promote the further development of modern genomic science as applied to poultry.
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Affiliation(s)
- Natalia V Dementieva
- Russian Research Institute of Farm Animal Genetics and Breeding ‒ Branch of the L. K. Ernst Federal Research Centre for Animal Husbandry, Pushkin, St. Petersburg, 196601, Russia.
| | - Yuri S Shcherbakov
- Russian Research Institute of Farm Animal Genetics and Breeding ‒ Branch of the L. K. Ernst Federal Research Centre for Animal Husbandry, Pushkin, St. Petersburg, 196601, Russia
| | - Olga I Stanishevskaya
- Russian Research Institute of Farm Animal Genetics and Breeding ‒ Branch of the L. K. Ernst Federal Research Centre for Animal Husbandry, Pushkin, St. Petersburg, 196601, Russia
| | - Anatoly B Vakhrameev
- Russian Research Institute of Farm Animal Genetics and Breeding ‒ Branch of the L. K. Ernst Federal Research Centre for Animal Husbandry, Pushkin, St. Petersburg, 196601, Russia
| | - Tatiana A Larkina
- Russian Research Institute of Farm Animal Genetics and Breeding ‒ Branch of the L. K. Ernst Federal Research Centre for Animal Husbandry, Pushkin, St. Petersburg, 196601, Russia
| | - Artem P Dysin
- Russian Research Institute of Farm Animal Genetics and Breeding ‒ Branch of the L. K. Ernst Federal Research Centre for Animal Husbandry, Pushkin, St. Petersburg, 196601, Russia
| | - Olga A Nikolaeva
- Russian Research Institute of Farm Animal Genetics and Breeding ‒ Branch of the L. K. Ernst Federal Research Centre for Animal Husbandry, Pushkin, St. Petersburg, 196601, Russia
| | - Anna E Ryabova
- Russian Research Institute of Farm Animal Genetics and Breeding ‒ Branch of the L. K. Ernst Federal Research Centre for Animal Husbandry, Pushkin, St. Petersburg, 196601, Russia
| | - Anastasiia I Azovtseva
- Russian Research Institute of Farm Animal Genetics and Breeding ‒ Branch of the L. K. Ernst Federal Research Centre for Animal Husbandry, Pushkin, St. Petersburg, 196601, Russia
| | - Olga V Mitrofanova
- Russian Research Institute of Farm Animal Genetics and Breeding ‒ Branch of the L. K. Ernst Federal Research Centre for Animal Husbandry, Pushkin, St. Petersburg, 196601, Russia
| | - Grigoriy K Peglivanyan
- Russian Research Institute of Farm Animal Genetics and Breeding ‒ Branch of the L. K. Ernst Federal Research Centre for Animal Husbandry, Pushkin, St. Petersburg, 196601, Russia
| | - Natalia R Reinbach
- Russian Research Institute of Farm Animal Genetics and Breeding ‒ Branch of the L. K. Ernst Federal Research Centre for Animal Husbandry, Pushkin, St. Petersburg, 196601, Russia
| | - Darren K Griffin
- School of Biosciences, University of Kent, Canterbury, CT2 7NJ, UK. ,
| | - Michael N Romanov
- School of Biosciences, University of Kent, Canterbury, CT2 7NJ, UK. ,
- L K. Ernst Federal Research Center for Animal Husbandry, Dubrovitsy, Podolsk, Moscow Oblast, 142132, Russia. ,
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Tan X, Zhang J, Dong J, Huang M, Li Q, Wang H, Bai L, Cui M, Zhou Z, Yang S, Wang D. Whole-genome variants dataset of 209 local chickens from China. Sci Data 2024; 11:169. [PMID: 38316816 PMCID: PMC10844214 DOI: 10.1038/s41597-024-02995-w] [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: 03/24/2023] [Accepted: 01/25/2024] [Indexed: 02/07/2024] Open
Abstract
Compared to commercial chickens, local breeds exhibit better in meat quality and flavour, but the productivity (e.g., growth rate, body weight) of local chicken breeds is rather low. Genetic analysis based on whole-genome sequencing contributes to elucidating the genetic markers or putative candidate genes related to some economic traits, facilitating the improvement of production performance, the acceleration of breeding progress, and the conservation of genetic resources. Here, a total of 209 local chickens from 13 breeds were investigated, and the observation of approximately 91.4% high-quality sequences (Q30 > 90%) and a mapping rate over 99% for each individual indicated good results of this study, as confirmed by a genome coverage of 97.6%. Over 19 million single nucleotide polymorphisms (SNPs) and 1.98 million insertion-deletions (InDels) were identified using the reference genome (GRCg7b), further contributing to the public database. This dataset provides valuable resources for studying genetic diversity and adaptation and for the cultivation of new chicken breeds/lines.
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Affiliation(s)
- Xiaodong Tan
- Institute of Animal Husbandry and Veterinary Science, Zhejiang Academy of Agricultural Sciences, Hangzhou, 310021, China
| | - Jiawen Zhang
- Institute of Animal Husbandry and Veterinary Science, Zhejiang Academy of Agricultural Sciences, Hangzhou, 310021, China
| | - Jie Dong
- Institute of Animal Husbandry and Veterinary Science, Zhejiang Academy of Agricultural Sciences, Hangzhou, 310021, China
| | - Minjie Huang
- Institute of Animal Husbandry and Veterinary Science, Zhejiang Academy of Agricultural Sciences, Hangzhou, 310021, China
| | - Qinghai Li
- Animal Husbandry Institute, Hangzhou Academy of Agricultural Sciences, Hangzhou, 310024, China
| | - Huanhuan Wang
- Animal Husbandry Institute, Hangzhou Academy of Agricultural Sciences, Hangzhou, 310024, China
| | - Lijuan Bai
- Zhejiang Animal Husbandry Technology Extension and Breeding Livestock and Poultry Monitoring Station, Hangzhou, 310020, China
| | - Ming Cui
- Zhejiang Animal Husbandry Technology Extension and Breeding Livestock and Poultry Monitoring Station, Hangzhou, 310020, China
| | - Zhenzhen Zhou
- Institute of Animal Husbandry and Veterinary Science, Zhejiang Academy of Agricultural Sciences, Hangzhou, 310021, China
| | - Shuyuan Yang
- Institute of Animal Husbandry and Veterinary Science, Zhejiang Academy of Agricultural Sciences, Hangzhou, 310021, China
| | - Deqian Wang
- Institute of Animal Husbandry and Veterinary Science, Zhejiang Academy of Agricultural Sciences, Hangzhou, 310021, China.
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Yan D, Li G, Zhang H, Xue Q, Zhou C, Jiang Y, Yin J, Wang Z, Zhao W, Han W. Metagenomic Sequencing Revealed Differences in the Composition of Cecal Microbes in Different Breeds of Chickens. Animals (Basel) 2023; 14:28. [PMID: 38200759 PMCID: PMC10778133 DOI: 10.3390/ani14010028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2023] [Revised: 12/16/2023] [Accepted: 12/17/2023] [Indexed: 01/12/2024] Open
Abstract
Intestinal microorganisms are closely related to the health, development, and production performance of animals and can also provide basic information for us to fully understand and explore the germplasm characteristics and traits of local chicken breeds. In this experiment, we used five local Chinese chicken breeds as research materials; metagenomic sequencing technology was used to explore the differences in the composition of intestinal microorganisms in different breeds, and it was found that each local chicken breed had unique unigenes, of which Silkies had the most, with a total of 12,948. GO and KEGG analyses found that the biological processes most enriched by differential functional genes include genetic coding, macromolecular transport, protein synthesis, and molecular functions such as glycoprotein binding, protein hydrolysis, etc. Each breed is enriched with specific pathways, such as Anyi tile-like gray chickens, which are enriched with pathways related to disease resistance, while Gamecocks' enrichment is related to amino acid metabolism. Random Forest and LEfSe analyses revealed specific species of intestinal microorganisms in the cecum of different breeds, such as Exiguobacterium, which is associated with melanin deposition in Silkies. Therefore, we infer that gut microorganisms are closely related to the formation of chicken breed characteristics, and the results of this experiment can provide a theoretical basis for the discovery of high-quality traits and the improvement of feeding conditions in the future.
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Affiliation(s)
- Dan Yan
- Jiangsu Institute of Poultry Science, National Chickens Genetic Resources, Yangzhou 225125, China; (D.Y.); (G.L.)
- College of Animal Science and Technology, Yangzhou University, Yangzhou 225000, China
| | - Guohui Li
- Jiangsu Institute of Poultry Science, National Chickens Genetic Resources, Yangzhou 225125, China; (D.Y.); (G.L.)
| | - Huiyong Zhang
- Jiangsu Institute of Poultry Science, National Chickens Genetic Resources, Yangzhou 225125, China; (D.Y.); (G.L.)
| | - Qian Xue
- Jiangsu Institute of Poultry Science, National Chickens Genetic Resources, Yangzhou 225125, China; (D.Y.); (G.L.)
| | - Chenghao Zhou
- Jiangsu Institute of Poultry Science, National Chickens Genetic Resources, Yangzhou 225125, China; (D.Y.); (G.L.)
| | - Yixiu Jiang
- Jiangsu Institute of Poultry Science, National Chickens Genetic Resources, Yangzhou 225125, China; (D.Y.); (G.L.)
| | - Jianmei Yin
- Jiangsu Institute of Poultry Science, National Chickens Genetic Resources, Yangzhou 225125, China; (D.Y.); (G.L.)
| | - Zhixiu Wang
- College of Animal Science and Technology, Yangzhou University, Yangzhou 225000, China
| | - Wenming Zhao
- College of Animal Science and Technology, Yangzhou University, Yangzhou 225000, China
| | - Wei Han
- Jiangsu Institute of Poultry Science, National Chickens Genetic Resources, Yangzhou 225125, China; (D.Y.); (G.L.)
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