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Huang R, Zhu C, Zhen Y. Genetic diversity, demographic history, and selective signatures of Silkie chicken. BMC Genomics 2024; 25:754. [PMID: 39095706 PMCID: PMC11295612 DOI: 10.1186/s12864-024-10671-x] [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: 02/09/2024] [Accepted: 07/26/2024] [Indexed: 08/04/2024] Open
Abstract
BACKGROUND Silkie is a traditional Chinese chicken breed characterized by its unique combination of specialized morphological traits. While previous studies have focused on the genetic basis of these traits, the overall genomic characteristics of the Silkie breed remain largely unexplored. In this study, we employed whole genome resequencing data to examine the genetic diversity, selective signals and demographic history of the Silkie breed through comparative analyses with seven other Chinese indigenous breeds (IDGBs), a commercial breed, and the wild ancestor Red Jungle Fowl. RESULTS In total, 20.8 million high-quality single nucleotide polymorphisms and 86 large structural variations were obtained. We discovered that Silkie exhibits a relatively high level of inbreeding and is genetically distinct from other IDGBs. Furthermore, our analysis indicated that Silkie has experienced a stronger historical population bottleneck and has a smaller effective population size compared with other IDGBs. We identified 45 putatively selected genes that are enriched in the melanogenesis pathway, which probably is related to the feather color. Among these genes, LMBR1 and PDSS2 have been previously associated with the extra toe and the hookless feathers, respectively. Six of the selected genes (KITLG, GSK3B, SOBP, CTBP1, ELMO2, SNRPN) are known to be associated with neurodevelopment and mental diseases in human, and are possibly related to the distinct behavior of Silkie. We further identified structural variants in Silkie and found previously reported variants linked to hyperpigmentation (END3), muff and beard (HOXB8), and Rose-comb phenotype (MNR2). Additionally, we found a 0.61 Mb inversion overlapping with the GMDS gene, which was previously linked to neurodevelopmental defects in zebrafish and humans. This may also be related to the behavior distinctiveness of Silkie. CONCLUSIONS Our study revealed that Silkie is genetically distinct and relatively highly inbred compared to other IDGB chicken populations, possibly attributed to more prolong population bottlenecks and selective breeding practice. These results enhance our understanding of how domestication and selective breeding have shaped the genome of Silkie. These findings contribute to the broader field of domestication and avian genomics, and have implications for the future conservation and breeding efforts.
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Affiliation(s)
- Ruoshi Huang
- College of Life Sciences, Zhejiang University, Hangzhou, Zhejiang, China
- Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences and Research Center for Industries of the Future, Westlake University, Hangzhou, Zhejiang, China
- Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, Zhejiang, China
- Institute of Biology, Westlake Institute for Advanced Study, Hangzhou, Zhejiang, China
| | - Chengqi Zhu
- Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences and Research Center for Industries of the Future, Westlake University, Hangzhou, Zhejiang, China
- Institute of Biology, Westlake Institute for Advanced Study, Hangzhou, Zhejiang, China
| | - Ying Zhen
- Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences and Research Center for Industries of the Future, Westlake University, Hangzhou, Zhejiang, China.
- Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, Zhejiang, China.
- Institute of Biology, Westlake Institute for Advanced Study, Hangzhou, Zhejiang, China.
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Qi L, Xiao L, Fu R, Nie Q, Zhang X, Luo W. Genetic characteristics and selection signatures between Southern Chinese local and commercial chickens. Poult Sci 2024; 103:103863. [PMID: 38810566 PMCID: PMC11166977 DOI: 10.1016/j.psj.2024.103863] [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: 01/22/2024] [Revised: 04/25/2024] [Accepted: 05/13/2024] [Indexed: 05/31/2024] Open
Abstract
The introduction of exotic breeds and the cultivation of new lines by breeding companies have posed challenges to native chickens in South China, including loss of breed characteristics, decreased genetic diversity, and declining purity. Understanding the population genetic structure and genetic diversity of native chickens in South China is crucial for further advancements in breeding efforts. In this study, we analyzed the population genetic structure and genetic diversity of 321 individuals from 10 different breeds in South China. By comparing commercial chickens with native ones, we identified selection signatures occurring between local chickens and commercial breeds. The analysis of population genetic structure revealed that the native chicken populations in South China exhibited a considerable level of genetic diversity. Moreover, the commercial lines of Xiaobai chicken and Huangma chicken displayed even higher levels of genetic diversity, which distinguished them from other native varieties at the clustering level. However, certain individuals within these commercial varieties showed a discernible genetic relationship with the native populations. Notably, both commercial varieties also retained a significant degree of genetic similarity to their respective native counterparts. In order to investigate the genomic changes occurring during the commercialization of native chickens, we employed 4 methods (Fst, ROD, XPCLR, and XPEHH) to identify potential candidate regions displaying selective signatures in Southern Chinese native chicken population. A total of 168 (identified by Fst and ROD) and 86 (identified by XPCLR and XPEHH) overlapping genes were discovered. Functional annotation analysis revealed that these genes may be associated with reproduction and growth (SAMSN1, HYLS1, ROBO3, FGF14, PRSS23), musculoskeletal development (DNER, MYBPC1, DGKB, ORC1, KLF10), disease resistance and environmental adaptability (PUS3, CRB2, CALD1, USP15, SGCD, LTBP1), as well as egg production (ADGRB3, ACSF3). Overall, native chickens in South China harbor numerous selective sweep regions compared to commercial chickens, enriching valuable genomic resources for future genetic research and breeding conservation.
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Affiliation(s)
- Lin Qi
- State Key Laboratory of Livestock and Poultry Breeding, & Lingnan Guangdong Laboratory of Agriculture, South China Agricultural University, Guangzhou 510642, China; Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, and Key Lab of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture and Rural Affair, South China Agricultural University, 510642, China; Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou Guangzhou 510642, China
| | - Liangchao Xiao
- State Key Laboratory of Livestock and Poultry Breeding, & Lingnan Guangdong Laboratory of Agriculture, South China Agricultural University, Guangzhou 510642, China; Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, and Key Lab of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture and Rural Affair, South China Agricultural University, 510642, China; Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou Guangzhou 510642, China
| | - Rong Fu
- State Key Laboratory of Livestock and Poultry Breeding, & Lingnan Guangdong Laboratory of Agriculture, South China Agricultural University, Guangzhou 510642, China; Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, and Key Lab of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture and Rural Affair, South China Agricultural University, 510642, China; Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou Guangzhou 510642, China
| | - Qinghua Nie
- State Key Laboratory of Livestock and Poultry Breeding, & Lingnan Guangdong Laboratory of Agriculture, South China Agricultural University, Guangzhou 510642, China; Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, and Key Lab of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture and Rural Affair, South China Agricultural University, 510642, China; Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou Guangzhou 510642, China
| | - Xiquan Zhang
- State Key Laboratory of Livestock and Poultry Breeding, & Lingnan Guangdong Laboratory of Agriculture, South China Agricultural University, Guangzhou 510642, China; Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, and Key Lab of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture and Rural Affair, South China Agricultural University, 510642, China; Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou Guangzhou 510642, China
| | - Wen Luo
- State Key Laboratory of Livestock and Poultry Breeding, & Lingnan Guangdong Laboratory of Agriculture, South China Agricultural University, Guangzhou 510642, China; Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, and Key Lab of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture and Rural Affair, South China Agricultural University, 510642, China; Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou Guangzhou 510642, China.
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3
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Li J, Li Y, Xiao H, Li W, Ye F, Wang L, Li Y, Wang C, Wu Y, Xuan R, Huang Y, Huang J. The intestinal microflora diversity of aboriginal chickens in Jiangxi province, China. Poult Sci 2024; 103:103198. [PMID: 38016408 PMCID: PMC10696398 DOI: 10.1016/j.psj.2023.103198] [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: 07/21/2023] [Revised: 10/06/2023] [Accepted: 10/11/2023] [Indexed: 11/30/2023] Open
Abstract
Intestinal microbiota can coevolve with host to form symbiotic relationship and be participated in the regulation of host physiological function. At present, there is no clear explanation on the effect of intestinal microflora in Jiangxi aboriginal chickens. Here, we investigated the association between gut microbiota and host genome of Jiangxi local chickens using 16S rRNA sequencing and genome-wide association studies (GWAS). The results showed that the breeds and genders had important effects on the intestinal microbiota of chickens. A total of 28 SNPs in 14 regions of the chicken genome were related to the relative abundance of microorganisms in 5 genera: Clostridium_sensu_stricto_1, Enterococcus, Gallibacterium, Turicibacter, and Rikenellaceae_RC9_gut_group. A total of 17 candidate genes were identified composition of chicken microbiome and show an association between the host genome and the chicken intestinal microbiota, which also unveiled the diversity of intestinal microbes in Jiangxi chickens. Given the correlation between chicken genome and intestinal microbe found in the present study, a new idea for the protection of aboriginal chicken genetic resources in China could be provided.
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Affiliation(s)
- Jiawei Li
- College of Life Science, Jiangxi Science and Technology Normal University, Nanchang, China
| | - Yuping Li
- College of Life Science, Jiangxi Science and Technology Normal University, Nanchang, China
| | - Huiyuan Xiao
- College of Life Science, Jiangxi Science and Technology Normal University, Nanchang, China
| | - Wen Li
- Changsheng Town People's Government of Ningdu County, Ganzhou, China
| | - Fengchun Ye
- Jiangxi Yifeng County Qiaoxi Veterinary Station, Yichun, China
| | - Liping Wang
- College of Life Science, Jiangxi Science and Technology Normal University, Nanchang, China
| | - Yuhang Li
- College of Life Science, Jiangxi Science and Technology Normal University, Nanchang, China
| | - Cong Wang
- College of Life Science, Jiangxi Science and Technology Normal University, Nanchang, China
| | - Yan Wu
- College of Life Science, Jiangxi Science and Technology Normal University, Nanchang, China
| | - Rui Xuan
- College of Life Science, Jiangxi Science and Technology Normal University, Nanchang, China
| | - Yuxuan Huang
- College of Life Science, Jiangxi Science and Technology Normal University, Nanchang, China
| | - Jianhua Huang
- College of Life Science, Jiangxi Science and Technology Normal University, Nanchang, China.
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4
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Tolone M, Sardina MT, Criscione A, Lasagna E, Senczuk G, Rizzuto I, Riggio S, Moscarelli A, Macaluso V, Di Gerlando R, Cassandro M, Portolano B, Mastrangelo S. High-density single nucleotide polymorphism markers reveal the population structure of 2 local chicken genetic resources. Poult Sci 2023; 102:102692. [PMID: 37120867 PMCID: PMC10172703 DOI: 10.1016/j.psj.2023.102692] [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: 01/26/2023] [Revised: 03/21/2023] [Accepted: 03/29/2023] [Indexed: 05/02/2023] Open
Abstract
Italy counts a large number of local chicken populations, some without a recognized genetic structure, such as Val Platani (VPL) and Cornuta (COS), which represent noteworthy local genetic resources. In this study, the genotype data of 34 COS and 42 VPL, obtained with the Affymetrix Axiom600KChicken Genotyping Array, were used with the aim to investigate the genetic diversity, the runs of homozygosity (ROH) pattern, as well as the population structure and relationship within the framework of other local Italian and commercial chickens. The genetic diversity indices, estimated using different approaches, displayed moderate levels of genetic diversity in both populations. The identified ROH hotspots harbored genes related to immune response and adaptation to local hot temperatures. The results on genetic relationship and population structure reported a clear clustering of the populations according to their geographic origin. The COS formed a nonoverlapping genomic cluster and clearly separated from the other populations, but showed evident proximity to the Siciliana breed (SIC). The VPL highlighted intermediate relationships between the COS-SIC group and the rest of the sample, but closer to the other Italian local chickens. Moreover, VPL showed a complex genomic structure, highlighting the presence of 2 subpopulations that match with the different source of the samples. The results obtained from the survey on genetic differentiation underline the hypothesis that Cornuta is a population with a defined genetic structure. The substructure that characterizes the Val Platani chicken is probably the consequence of the combined effects of genetic drift, small population size, reproductive isolation, and inbreeding. These findings contribute to the understanding of genetic diversity and population structure, and represent a starting point for designing programs to monitor and safeguard these local genetic resources, in order to define a possible official recognition program as breeds.
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Affiliation(s)
- Marco Tolone
- Department of Agricultural, Food and Forest Sciences, University of Palermo, 90128 Palermo, Italy
| | - Maria Teresa Sardina
- Department of Agricultural, Food and Forest Sciences, University of Palermo, 90128 Palermo, Italy
| | - Andrea Criscione
- Department of Agriculture, Food and the Environment, University of Catania, 95131 Catania, Italy
| | - Emiliano Lasagna
- Department of Agricultural, Food and Environmental Sciences, University of Perugia, 06121 Perugia, Italy
| | - Gabriele Senczuk
- Department of Agricultural, Environmental and Food Sciences, University of Molise, 86100 Campobasso, Italy
| | - Ilaria Rizzuto
- Department of Agricultural, Food and Forest Sciences, University of Palermo, 90128 Palermo, Italy
| | - Silvia Riggio
- Department of Agricultural, Food and Forest Sciences, University of Palermo, 90128 Palermo, Italy
| | - Angelo Moscarelli
- Department of Agricultural, Food and Forest Sciences, University of Palermo, 90128 Palermo, Italy
| | - Vito Macaluso
- Department of Agricultural, Food and Forest Sciences, University of Palermo, 90128 Palermo, Italy
| | - Rosalia Di Gerlando
- Department of Agricultural, Food and Forest Sciences, University of Palermo, 90128 Palermo, Italy
| | - Martino Cassandro
- Department of Agronomy, Food, Natural Resources, Animals and Environment, University of Padova, 35020 Legnaro, Italy
| | - Baldassare Portolano
- Department of Agricultural, Food and Forest Sciences, University of Palermo, 90128 Palermo, Italy
| | - Salvatore Mastrangelo
- Department of Agricultural, Food and Forest Sciences, University of Palermo, 90128 Palermo, Italy.
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Population Structure and Genetic Diversity Analysis of “Yufen 1” H Line Chickens Using Whole-Genome Resequencing. Life (Basel) 2023; 13:life13030793. [PMID: 36983948 PMCID: PMC10059704 DOI: 10.3390/life13030793] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2023] [Revised: 03/13/2023] [Accepted: 03/13/2023] [Indexed: 03/17/2023] Open
Abstract
The effective protection and utilization of poultry resources depend on an accurate understanding of the genetic diversity and population structure. The breeding of the specialized poultry lineage “Yufen 1”, with its defined characteristics, was approved by the China Poultry Genetic Resource Committee in 2015. Thus, to investigate the relationship between the progenitor H line and other poultry breeds, the genetic diversity and population structure of “Yufen 1” H line (YF) were investigated and compared with those of 2 commercial chicken breeds, the ancestor breed Red Jungle Fowls, and 11 Chinese indigenous chicken breeds based on a whole-genome resequencing approach using 8,112,424 SNPs. The genetic diversity of YF was low, and the rate of linkage disequilibrium decay was significantly slower than that of the other Chinese indigenous breeds. In addition, it was shown that the YF population was strongly selected during intensive breeding and that genetic resources have been seriously threatened, which highlights the need to establish a systematic conservation strategy as well as utilization techniques to maintain genetic diversity within YF. Moreover, a principal component analysis, a neighbor-joining tree analysis, a structure analysis, and genetic differentiation indices indicated that YF harbors a distinctive genetic resource with a unique genetic structure separate from that of Chinese indigenous breeds at the genome level. The findings provide a valuable resource and the theoretical basis for the further conservation and utilization of YF.
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6
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Variations in BCO2 Coding Sequence Causing a Difference in Carotenoid Concentration in the Skin of Chinese Indigenous Chicken. Genes (Basel) 2023; 14:genes14030671. [PMID: 36980942 PMCID: PMC10048632 DOI: 10.3390/genes14030671] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2023] [Revised: 03/03/2023] [Accepted: 03/07/2023] [Indexed: 03/11/2023] Open
Abstract
Carotenoid consumption decreases the risk of cancer, osteoporosis, or neurodegenerative diseases through interrupting the formation of free radicals. The deposition of carotenoids in chicken skin makes the skin color turn from white into yellow. The enzyme β-carotene oxygenase 2 (BCO2) plays a key role during the degradation process of carotenoids in skin. How the BCO2 affects the skin color of the chicken and whether it is the key factor that results in the phenotypic difference between yellow- and white-skin chickens are still unclear. In this research, the measurement of the concentration of carotenoids in chicken skin by HPLC showed that the carotenoid concentration in chickens with a yellow skin was significantly higher than that in white-skin chickens. Moreover, there were significant differences in BCO2 gene expression in the back skin between yellow- and white-skin chickens. Scanning the SNPs in BCO2 gene revealed a G/A mutation in exon 6 of the BCO2 gene in white and yellow skin chicken. Generally, one SNP c.890A>G was found to be associated with the chicken skin color and may be used as a genetic marker in breeding for yellow skin in Chinese indigenous chickens.
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7
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Dementieva NV, Shcherbakov YS, Tyshchenko VI, Terletsky VP, Vakhrameev AB, Nikolaeva OA, Ryabova AE, Azovtseva AI, Mitrofanova OV, Peglivanyan GK, Reinbah NR, Griffin DK, Romanov MN. Comparative Analysis of Molecular RFLP and SNP Markers in Assessing and Understanding the Genetic Diversity of Various Chicken Breeds. Genes (Basel) 2022; 13:genes13101876. [PMID: 36292761 PMCID: PMC9601448 DOI: 10.3390/genes13101876] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Revised: 10/06/2022] [Accepted: 10/14/2022] [Indexed: 11/04/2022] Open
Abstract
Monitoring the genetic diversity of small populations is important with respect to conserving rare and valuable chicken breeds, as well as discovery and innovation in germplasm research and application. Restriction fragment length polymorphisms (RFLPs), the molecular markers that underlie multilocus DNA fingerprinting (MLDF), have historically been employed for this purpose, but over the past two decades, there has been an irreversible shift toward high-throughput single-nucleotide polymorphisms (SNPs). In this study, we conducted a comparative analysis of archived MLDF results and new data from whole-genome SNP genotyping (SNPg) among 18 divergently selected breeds representing a large sample of the world gene pool. As a result, we obtained data that fit the general concept of the phylogenetic distribution of the studied breeds and compared them with RFLP and SNP markers. RFLPs were found to be useful markers for retrospective assessment of changes in the genetic architecture and variability underlying the phenotypic variation in chicken populations, especially when samples from previous generations used for MLDF are unavailable for SNPg. These results can facilitate further research necessary to assess the possibility of extrapolating previous MLDF results to study the long-term dynamics of genetic diversity in various small chicken germplasm populations over time. In general, the whole-genome characterization of populations and breeds by multiple SNP loci will further form the basis for the development and implementation of genomic selection with the aim of effective use of the genetic potential of the domestic gene pool in the poultry industry.
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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, 196601 St. Petersburg, Russia
- Correspondence: (N.V.D.); (M.N.R.)
| | - 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, 196601 St. Petersburg, Russia
| | - Valentina I. Tyshchenko
- Russian Research Institute of Farm Animal Genetics and Breeding—Branch of the L.K. Ernst Federal Research Centre for Animal Husbandry, Pushkin, 196601 St. Petersburg, 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, 196601 St. Petersburg, 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, 196601 St. Petersburg, 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, 196601 St. Petersburg, 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, 196601 St. Petersburg, 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, 196601 St. Petersburg, 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, 196601 St. Petersburg, Russia
| | - Natalia R. Reinbah
- Russian Research Institute of Farm Animal Genetics and Breeding—Branch of the L.K. Ernst Federal Research Centre for Animal Husbandry, Pushkin, 196601 St. Petersburg, Russia
| | | | - Michael N. Romanov
- School of Biosciences, University of Kent, Canterbury CT2 7NJ, UK
- Correspondence: (N.V.D.); (M.N.R.)
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8
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Wang X, Li G, Jiang Y, Tang J, Fan Y, Ren J. Genomic insights into the conservation and population genetics of two Chinese native goat breeds. J Anim Sci 2022; 100:skac274. [PMID: 35998083 PMCID: PMC9585554 DOI: 10.1093/jas/skac274] [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: 10/14/2021] [Accepted: 08/20/2022] [Indexed: 11/14/2022] Open
Abstract
Chinese goats are an important group of goats worldwide. However, there are few studies on the conservation priority, genetic relationship, and potential gene flow between Chinese and global goat breeds. Here, we genotyped 239 goats from conservation populations of the Chinese Guangfeng and Ganxi breeds using the GoatSNP50 BeadChip. The conservation priority, population structure, selection signatures and introgression of these goats were analyzed in the context of 36 global goat breeds. First, we showed that Guangfeng and Ganxi goats had the largest effective population sizes across the global breeds 13 generations ago. Nevertheless, Ganxi goats have recently experienced a high degree of inbreeding, resulting in their conservation priority based on total gene and allelic diversities being lower than that of most other Chinese breeds (including Guangfeng goats). Population structure and admixture analyses showed that an average of 18% of Guangfeng genomic components were introgressed from Boer goats approximately 18-yr ago. Next, we reconstructed the subfamily structure of the core populations of Guangfeng and Ganxi goats, and proposed reasonable conservation strategies for inbreeding management. Moreover, a list of candidate genes under selection for fertility, immunity, growth, and meat quality were detected in Guangfeng and Ganxi goats. Finally, we identified some genes related to body development and reproduction, which were introgressed from Boer goats and may be beneficial for improving performance and productivity of Guangfeng goats. In conclusion, this study not only provides new insights into the conservation and utilization of Guangfeng and Ganxi goats but also enriches our understanding of artificial introgression from exotic goats into Chinese local goats.
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Affiliation(s)
- Xiaopeng Wang
- Guangdong Laboratory for Lingnan Modern Agriculture, College of Animal Science, South China Agricultural University, Guangzhou 510642, China
| | - Guixin Li
- Guangdong Laboratory for Lingnan Modern Agriculture, College of Animal Science, South China Agricultural University, Guangzhou 510642, China
| | - Yongchuang Jiang
- Guangdong Laboratory for Lingnan Modern Agriculture, College of Animal Science, South China Agricultural University, Guangzhou 510642, China
| | - Jianhong Tang
- Guangdong Laboratory for Lingnan Modern Agriculture, College of Animal Science, South China Agricultural University, Guangzhou 510642, China
- Laboratory Animal Engineering Research Center of Ganzhou, Gannan Medical University, Ganzhou 341000, China
| | - Yin Fan
- Department of Animal Science, Jiangxi Biotech Vocational College, Nanchang 330200, China
| | - Jun Ren
- Guangdong Laboratory for Lingnan Modern Agriculture, College of Animal Science, South China Agricultural University, Guangzhou 510642, China
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9
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Chen B, Xi S, El-Senousey HAK, Zhou M, Cheng D, Chen K, Wan L, Xiong T, Liao M, Liu S, Mao H. Deletion in KRT75L4 linked to frizzle feather in Xiushui Yellow Chickens. Anim Genet 2021; 53:101-107. [PMID: 34904261 DOI: 10.1111/age.13158] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/17/2021] [Indexed: 11/30/2022]
Abstract
Bird feathers are the product of interactions between natural and artificial selection. Feather-related traits are important for chicken selection and breeding. Frizzle feather is characterized by the abnormally development of feathers in chickens. In the current study, frizzle feather characteristics were observed in a local breed called Xiushui Yellow Chicken in Jiangxi, China. To determine the molecular mechanisms that underlie frizzle feather in Xiushui Yellow Chicken, four populations of three breeds (Xiushui Yellow Chicken with frizzle feathers, Xiushui Yellow Chicken with normal feathers, Guangfeng White-Ear Yellow Chicken, and Ningdu Yellow Chicken) were selected for whole-genome resequencing. Using a comparative genome strategy and genome-wide association study, a missense mutation (g.5281494A>G) and a 15-bp deletion (g.5285437-5285451delGATGCCGGCAGGACG) in KRT75L4 were identified as candidate mutations associated with frizzle feather in Xiushui Yellow Chicken. Based on genotyping performed in a large Xiushui Yellow Chicken population, the g.5285437-5285451delGATGCCGGCAGGACG mutation in KRT75L4 was confirmed as the putative causative mutation of frizzle feather. These results deepen the understanding of the molecular mechanisms responsible for frizzle feather, as well as facilitating the molecular detection and selection of the feather phenotype in Xiushui Yellow Chickens.
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Affiliation(s)
- B Chen
- College of Animal Science and Technology, Jiangxi Agricultural University, Nanchang, Jiangxi, 330045, China
| | - S Xi
- College of Animal Science and Technology, Jiangxi Agricultural University, Nanchang, Jiangxi, 330045, China.,Jiangxi Biotech Vocational College, Nanchang, Jiangxi, 330200, China
| | - H A K El-Senousey
- Department of Animal Production, Faculty of Agriculture, Cairo University, Giza, 12613, Egypt
| | - M Zhou
- College of Animal Science and Technology, Jiangxi Agricultural University, Nanchang, Jiangxi, 330045, China
| | - D Cheng
- College of Animal Science and Technology, Jiangxi Agricultural University, Nanchang, Jiangxi, 330045, China
| | - K Chen
- College of Animal Science and Technology, Jiangxi Agricultural University, Nanchang, Jiangxi, 330045, China
| | - L Wan
- College of Animal Science and Technology, Jiangxi Agricultural University, Nanchang, Jiangxi, 330045, China
| | - T Xiong
- College of Animal Science and Technology, Jiangxi Agricultural University, Nanchang, Jiangxi, 330045, China
| | - M Liao
- School of Foreign Languages, Jiangxi Agricultural University, Nanchang, Jiangxi, 330045, China
| | - S Liu
- College of Animal Science and Technology, Jiangxi Agricultural University, Nanchang, Jiangxi, 330045, China
| | - H Mao
- College of Animal Science and Technology, Jiangxi Agricultural University, Nanchang, Jiangxi, 330045, China
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10
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Population Structure and Genetic Diversity of Seven Chinese Indigenous Chicken Populations in Guizhou Province. J Poult Sci 2021; 58:211-215. [PMID: 34899015 PMCID: PMC8630404 DOI: 10.2141/jpsa.0200060] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2020] [Accepted: 10/30/2020] [Indexed: 11/21/2022] Open
Abstract
To investigate the population structure and genetic diversity of indigenous chicken breeds in Guizhou, a total of 150 individual samples were collected from 12 breeds, including seven local chicken breeds in Guizhou Province, three Chinese native breeds found in other provinces, and two commercial breeds. The genotype datasets were obtained using a 50K single nucleotide polymorphism array method, and then a series of population analyses were performed. The obtained population parameters and linkage disequilibrium decay indicated a higher degree of genetic diversity in Guizhou chickens than in commercial breeds. Two Guizhou local breeds, Wumeng black-bone and Weining, were clustered with a breed from a neighboring province, Xinwen black-bone, which exhibited similar ancestral composition patterns. A newly found breed, Wumeng crested, had high genetic diversity and displayed genetic differences from other Guizhou breeds. These findings provide insight into the establishment of efficient conservation and utilization programs for Guizhou chicken breeds.
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An Overview of the Use of Genotyping Techniques for Assessing Genetic Diversity in Local Farm Animal Breeds. Animals (Basel) 2021; 11:ani11072016. [PMID: 34359144 PMCID: PMC8300386 DOI: 10.3390/ani11072016] [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: 06/10/2021] [Revised: 06/30/2021] [Accepted: 07/01/2021] [Indexed: 12/18/2022] Open
Abstract
Simple Summary The number of local farm animal breeds is declining worldwide. However, these breeds have different degrees of genetic diversity. Measuring genetic diversity is important for the development of conservation strategies and, therefore, various genomic analysis techniques are available. The aim of the present work was to shed light on the use of these techniques in diversity studies of local breeds. In summary, a total of 133 worldwide studies that examined genetic diversity in local cattle, sheep, goat, chicken and pig breeds were reviewed. The results show that over time, almost all available genomic techniques were used and various diversity parameters were calculated. Therefore, the present results provide a comprehensive overview of the application of these techniques in the field of local breeds. This can provide helpful insights into the advancement of the conservation of breeds with high genetic diversity. Abstract Globally, many local farm animal breeds are threatened with extinction. However, these breeds contribute to the high amount of genetic diversity required to combat unforeseen future challenges of livestock production systems. To assess genetic diversity, various genotyping techniques have been developed. Based on the respective genomic information, different parameters, e.g., heterozygosity, allele frequencies and inbreeding coefficient, can be measured in order to reveal genetic diversity between and within breeds. The aim of the present work was to shed light on the use of genotyping techniques in the field of local farm animal breeds. Therefore, a total of 133 studies across the world that examined genetic diversity in local cattle, sheep, goat, chicken and pig breeds were reviewed. The results show that diversity of cattle was most often investigated with microsatellite use as the main technique. Furthermore, a large variety of diversity parameters that were calculated with different programs were identified. For 15% of the included studies, the used genotypes are publicly available, and, in 6%, phenotypes were recorded. In conclusion, the present results provide a comprehensive overview of the application of genotyping techniques in the field of local breeds. This can provide helpful insights to advance the conservation of breeds.
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Zhang X, He Q, Zhang W, Shu F, Wang W, He Z, Xiong H, Peng J, Deng H. Genetic relationships and identification of core germplasm among rice photoperiod- and thermo-sensitive genic male sterile lines. BMC PLANT BIOLOGY 2021; 21:313. [PMID: 34215178 PMCID: PMC8252326 DOI: 10.1186/s12870-021-03062-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/18/2021] [Accepted: 05/20/2021] [Indexed: 06/13/2023]
Abstract
BACKGROUND Harnessing heterosis is one of the major approaches to increase rice yield and has made a great contribution to food security. The identification and selection of outstanding parental genotypes especially among male sterile lines is a key step for exploiting heterosis. Two-line hybrid system is based on the discovery and application of photoperiod- and thermo-sensitive genic sensitive male sterile (PTGMS) materials. The development of wide-range of male sterile lines from a common gene pool leads to a narrower genetic diversity, which is vulnerable to biotic and abiotic stress. Hence, it is valuable to ascertain the genetic background of PTGMS lines and to understand their relationships in order to select and design a future breeding strategy. RESULTS A collection of 118 male sterile rice lines and 13 conventional breeding lines from the major rice growing regions of China was evaluated and screened against the photosensitive (pms3) and temperature sensitive male sterility (tms5) genes. The total gene pool was divided into four major populations as P1 possessing the pms3, P2 possessing tms5, P3 possessing both pms3 and tms5 genes, and P4 containing conventional breeding lines without any male sterility allele. The high genetic purity was revealed by homozygous alleles in all populations. The population admixture, principle components and the phylogenetic analysis revealed the close relations of P2 and P3 with P4. The population differentiation analysis showed that P1 has the highest differentiation coefficient. The lines from P1 were observed as the ancestors of other three populations in a phylogenetic tree, while the lines in P2 and P3 showed a close genetic relation with conventional lines. A core collection of top 10% lines with maximum within and among populations genetic diversity was constructed for future research and breeding efforts. CONCLUSION The low genetic diversity and close genetic relationship among PTGMS lines in P2, P3 and P4 populations suggest a selection sweep and they might result from a backcrossing with common ancestors including the pure lines of P1. The core collection from PTGMS panel updated with new diverse germplasm will serve best for further two-line hybrid breeding.
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Affiliation(s)
- Xianwen Zhang
- College of Bioscience and Biotechnology, Hunan Agricultural University, Changsha, 410128, China
- State Key Laboratory of Hybrid Rice, Hunan Hybrid Rice Research Center, Hunan Academy of Agricultural Sciences, Changsha, 410125, China
- Huazhi Biotech Co. Ltd, Changsha, 410125, China
| | - Qiang He
- State Key Laboratory of Hybrid Rice, Hunan Hybrid Rice Research Center, Hunan Academy of Agricultural Sciences, Changsha, 410125, China
| | - Wuhan Zhang
- State Key Laboratory of Hybrid Rice, Hunan Hybrid Rice Research Center, Hunan Academy of Agricultural Sciences, Changsha, 410125, China
| | - Fu Shu
- State Key Laboratory of Hybrid Rice, Hunan Hybrid Rice Research Center, Hunan Academy of Agricultural Sciences, Changsha, 410125, China
| | - Weiping Wang
- College of Bioscience and Biotechnology, Hunan Agricultural University, Changsha, 410128, China
- State Key Laboratory of Hybrid Rice, Hunan Hybrid Rice Research Center, Hunan Academy of Agricultural Sciences, Changsha, 410125, China
| | - Zhizhou He
- Huazhi Biotech Co. Ltd, Changsha, 410125, China
| | - Hairong Xiong
- School of Chemistry and Materials Science, Hunan Agricultural University, Changsha, 410128, China
| | - Junhua Peng
- Huazhi Biotech Co. Ltd, Changsha, 410125, China
| | - Huafeng Deng
- State Key Laboratory of Hybrid Rice, Hunan Hybrid Rice Research Center, Hunan Academy of Agricultural Sciences, Changsha, 410125, China.
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Cendron F, Mastrangelo S, Tolone M, Perini F, Lasagna E, Cassandro M. Genome-wide analysis reveals the patterns of genetic diversity and population structure of 8 Italian local chicken breeds. Poult Sci 2021; 100:441-451. [PMID: 33518095 PMCID: PMC7858015 DOI: 10.1016/j.psj.2020.10.023] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2019] [Revised: 10/16/2020] [Accepted: 10/22/2020] [Indexed: 12/25/2022] Open
Abstract
The aim of this study was to conduct a genome-wide comparative analysis of 8 local Italian chicken breeds (Ermellinata di Rovigo, Millefiori di Lonigo [PML], Polverara Bianca, Polverara Nera, Padovana, Pepoi [PPP], Robusta Lionata, and Robusta Maculata), all under a conservation plan, to understand their genetic diversity and population structure. A total of 152 animals were analyzed using the Affymetrix Axiom 600 K Chicken Genotyping Array. The levels of genetic diversity were highest and lowest in PML and PPP, respectively. The results of genomic inbreeding based on runs of homozygosity (ROH; FROH) showed marked differences among breeds and ranged from 0.161 (PML) to 0.478 (PPP). Furthermore, in all breeds, short ROH (<4 Mb in length) were more frequent than long segments. Patterns of genetic differentiation, model-based clustering, and neighbor networks showed that most breeds formed nonoverlapping clusters and were clearly separate populations. The 2 Polverara breeds shared a similar genetic background and showed the lowest genetic differentiation in comparison with purebred lines; the local populations showed separated groups. PPP and PML were closer to the group of the purebred broiler lines (BRSA, BRSB, BRDA, and BRDB). Six genomic regions are presented as hotspots of autozygosity among the Italian chicken breeds, with candidate genes involved in multiple morphological phenotypes as breast muscle, muscle dry matter content, and body weight. This study is the first exhaustive genome-wide analysis of the diversity of these Italian local chickens from Veneto region. We conclude that breeds have conserved authentic genetic patterns. The results are of significant importance because they will help design and implement conservation strategies. In fact, the conservation of these breeds may also have positive impacts on the local economy, niche traditional markets, and offering a source of high-quality products to consumers. In this context, genomic information may play a crucial role in the management of local breeds.
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Affiliation(s)
- F Cendron
- Department of Agronomy, Food, Natural Resources, Animals and Environment, University of Padova, 35020 Legnaro, PD, Italy.
| | - S Mastrangelo
- Department of Agricultural, Food and Forest Sciences, University of Palermo 90128 Palermo, PA, Italy
| | - M Tolone
- Department of Agricultural, Food and Forest Sciences, University of Palermo 90128 Palermo, PA, Italy
| | - F Perini
- Department of Agricultural, Food and Environmental Sciences, University of Perugia 06121 Perugia, PG, Italy
| | - E Lasagna
- Department of Agricultural, Food and Environmental Sciences, University of Perugia 06121 Perugia, PG, Italy
| | - M Cassandro
- Department of Agronomy, Food, Natural Resources, Animals and Environment, University of Padova, 35020 Legnaro, PD, Italy
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Abstract
Runs of homozygosity (ROH) are chromosomal stretches that in a diploid genome appear in a homozygous state and display identical alleles at multiple contiguous loci. This study aimed to systematically compare the genomic distribution of the ROH islands among five populations of wild vs commercial chickens of both layer and broiler type. To this end, we analyzed whole genome sequences of 115 birds including white layer (WL, n = 25), brown layer (BL, n = 25), broiler line A (BRA, n = 20), broiler line B (BRB, n = 20) and Red Junglefowl (RJF, n = 25). The ROH segments varied in size markedly among populations, ranging from 0.3 to 21.83 Mb reflecting their past genealogy. White layers contained the largest portion of the genome in homozygous state with an average ROH length of 432.1 Mb (±18.7) per bird, despite carrying it in short segments (0.3-1 Mb). Population-wise inbreeding measures based on Wright's (Fis) and genomic (FROH) metrics revealed highly inbred genome of layer lines relative to the broilers and Red Junglefowl. We further revealed the ROH islands, among commercial lines overlapped with QTL related to limb development (GREM1, MEOX2), body weight (Meis2a.1, uc_338), eggshell color (GLCCI1, ICA1, UMAD1), antibody response to Newcastle virus (ROBO2), and feather pecking. Comparison of ROH landscape in sequencing resolution demonstrated that a sizable portion of genome of commercial lines segregates in homozygote state, reflecting many generations of assortative mating and intensive selection in their recent history. In contrary, wild birds carry shorter ROH segments, likely suggestive of older evolutionary events.
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Dementieva NV, Kudinov AA, Larkina TA, Mitrofanova OV, Dysin AP, Terletsky VP, Tyshchenko VI, Griffin DK, Romanov MN. Genetic Variability in Local and Imported Germplasm Chicken Populations as Revealed by Analyzing Runs of Homozygosity. Animals (Basel) 2020; 10:ani10101887. [PMID: 33076516 PMCID: PMC7602725 DOI: 10.3390/ani10101887] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2020] [Revised: 10/10/2020] [Accepted: 10/12/2020] [Indexed: 12/20/2022] Open
Abstract
Simple Summary To maintain the uniqueness of conserved chicken populations of local and imported breeds is of great importance. In this study, we genotyped small populations belonging to 14 breeds and 7 crossbreds using an Illumina Chicken 60K SNP (Single Nucleotide Polymorphisms) BeadChip and looked for appropriate methods to characterize their purity/variability. It was not straightforward to identify crossbred individuals, and the best approach was based on calculating the length and number of homozygous regions, or runs of homozygosity (ROH), in the populations studied. The latter enabled most accurate identification of crossbreds and can be served as an effective tool in testing genome-wide purity of chicken breeds. Abstract Preserving breed uniqueness and purity is vitally important in developing conservation/breeding programs for a germplasm collection of rare and endangered chicken breeds. The present study was aimed at analyzing SNP genetic variability of 21 small local and imported purebred and F1 crossbred populations and identifying crossbreeding events via whole-genome evaluation of runs of homozygosity (ROH). The admixture models more efficiently reflected population structure, pinpointing crossbreeding events in the presence of ancestral populations but not in their absence. Multidimensional scaling and FST-based analyses did not discriminate properly between purebred populations and F1 crossbreds, especially when comparing related breeds. When applying the ROH-based approach, more and longer ROHs were revealed in purebred individuals/populations, suggesting this as an effective implement in genome-wide analysis of germplasm breed purity.
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Affiliation(s)
- Natalia V. Dementieva
- Russian Research Institute of Farm Animal Genetics and Breeding (RRIFAGB)—Branch of the L.K. Ernst Federal Science Centre for Animal Husbandry, Pushkin, St. Petersburg 196601, Russia; (N.V.D.); (A.A.K.); (T.A.L.); (O.V.M.); (A.P.D.); (V.P.T.); (V.I.T.)
| | - Andrei A. Kudinov
- Russian Research Institute of Farm Animal Genetics and Breeding (RRIFAGB)—Branch of the L.K. Ernst Federal Science Centre for Animal Husbandry, Pushkin, St. Petersburg 196601, Russia; (N.V.D.); (A.A.K.); (T.A.L.); (O.V.M.); (A.P.D.); (V.P.T.); (V.I.T.)
| | - Tatiana A. Larkina
- Russian Research Institute of Farm Animal Genetics and Breeding (RRIFAGB)—Branch of the L.K. Ernst Federal Science Centre for Animal Husbandry, Pushkin, St. Petersburg 196601, Russia; (N.V.D.); (A.A.K.); (T.A.L.); (O.V.M.); (A.P.D.); (V.P.T.); (V.I.T.)
| | - Olga V. Mitrofanova
- Russian Research Institute of Farm Animal Genetics and Breeding (RRIFAGB)—Branch of the L.K. Ernst Federal Science Centre for Animal Husbandry, Pushkin, St. Petersburg 196601, Russia; (N.V.D.); (A.A.K.); (T.A.L.); (O.V.M.); (A.P.D.); (V.P.T.); (V.I.T.)
| | - Artyom P. Dysin
- Russian Research Institute of Farm Animal Genetics and Breeding (RRIFAGB)—Branch of the L.K. Ernst Federal Science Centre for Animal Husbandry, Pushkin, St. Petersburg 196601, Russia; (N.V.D.); (A.A.K.); (T.A.L.); (O.V.M.); (A.P.D.); (V.P.T.); (V.I.T.)
| | - Valeriy P. Terletsky
- Russian Research Institute of Farm Animal Genetics and Breeding (RRIFAGB)—Branch of the L.K. Ernst Federal Science Centre for Animal Husbandry, Pushkin, St. Petersburg 196601, Russia; (N.V.D.); (A.A.K.); (T.A.L.); (O.V.M.); (A.P.D.); (V.P.T.); (V.I.T.)
| | - Valentina I. Tyshchenko
- Russian Research Institute of Farm Animal Genetics and Breeding (RRIFAGB)—Branch of the L.K. Ernst Federal Science Centre for Animal Husbandry, Pushkin, St. Petersburg 196601, Russia; (N.V.D.); (A.A.K.); (T.A.L.); (O.V.M.); (A.P.D.); (V.P.T.); (V.I.T.)
| | | | - Michael N. Romanov
- School of Biosciences, University of Kent, Canterbury CT2 7NJ, UK;
- Correspondence:
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Zhang J, Nie C, Li X, Ning Z, Chen Y, Jia Y, Han J, Wang L, Lv X, Yang W, Qu L. Genome-Wide Population Genetic Analysis of Commercial, Indigenous, Game, and Wild Chickens Using 600K SNP Microarray Data. Front Genet 2020; 11:543294. [PMID: 33101376 PMCID: PMC7545075 DOI: 10.3389/fgene.2020.543294] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2020] [Accepted: 09/02/2020] [Indexed: 12/13/2022] Open
Abstract
Following chicken domestication, diversified chicken breeds were developed by both natural and artificial selection, which led to the accumulation of abundant genetic and phenotypic variations, making chickens an ideal genetic research model. To better understand the genetic structure of chicken breeds under different selection pressures, we genotyped various chicken populations with specific selection targets, including indigenous, commercial, gamecock, and wild ancestral chickens, using the 600K SNP array. We analyzed the population structure, genetic relationships, run of homozygosity (ROH), effective population number (Ne), and other genetic parameters. The wild ancestral population, red junglefowl (RJF), possessed the highest diversity, in comparison with all other domesticated populations, which was supported by linkage disequilibrium decay (LD), effective population number, and ROH analyses. The gamecock breeds, which were subjected to stronger male-biased selection for fighting-related traits, also presented higher variation than the commercial and indigenous breeds. Admixture analysis also indicated that game breed is a relatively independent branch of Chinese local breeds. Following intense selection for reproductive and productive traits, the commercial lines showed the least diversity. We also observed that the European local chickens had lower genetic variation than the Chinese local breeds, which could be attributed to the shorter history of the European breed. ROH were present in a breed specific manner and 191 ROH island were detected on four groups (commercial, local, game and wild chickens). These ROH islands were involved in egg production, growth and silky feathers and other traits. Moreover, we estimated the effective sex ratio of these breeds to demonstrate the change in the ratio of the two sexes. We found that commercial chickens had a greater sex imbalance between females and males. The commercial lines showed the highest female-to-male ratios. Interestingly, RJF comprised a greater proportion of males than females. Our results show the population genetics of chickens under selection pressures, and can aid in the development of better conservation strategies for different chicken breeds.
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Affiliation(s)
- Jinxin Zhang
- Department of Animal Genetics and Breeding, National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Changsheng Nie
- Department of Animal Genetics and Breeding, National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Xinghua Li
- Department of Animal Genetics and Breeding, National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Zhonghua Ning
- Department of Animal Genetics and Breeding, National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Yu Chen
- Beijing Municipal General Station of Animal Science, Beijing, China
| | - Yaxiong Jia
- Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Jianlin Han
- Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Liang Wang
- Beijing Municipal General Station of Animal Science, Beijing, China
| | - Xueze Lv
- Beijing Municipal General Station of Animal Science, Beijing, China
| | - Weifang Yang
- Beijing Municipal General Station of Animal Science, Beijing, China
| | - Lujiang Qu
- Department of Animal Genetics and Breeding, National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, China
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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: 35] [Impact Index Per Article: 8.8] [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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Nie C, Almeida P, Jia Y, Bao H, Ning Z, Qu L. Genome-Wide Single-Nucleotide Polymorphism Data Unveil Admixture of Chinese Indigenous Chicken Breeds with Commercial Breeds. Genome Biol Evol 2020; 11:1847-1856. [PMID: 31263886 PMCID: PMC6609729 DOI: 10.1093/gbe/evz128] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/10/2019] [Indexed: 12/16/2022] Open
Abstract
The conservation and development of chicken have received considerable attention, but the admixture history of chicken breeds, especially Chinese indigenous breeds, has been poorly demonstrated. In this study, we aimed to evaluate the genetic diversity and population structure of eight chicken breeds (including conserved chicken breeds) from different geographic origin and to identify admixture within these breeds using a 600-K single-nucleotide polymorphism panel for genotyping. Using the genotype of 580,961 single-nucleotide polymorphism markers scored in 1,200 animals, we evaluated the genetic diversity (heterozygosity and proportion of polymorphic markers), linkage disequilibrium decay, population structure (principal component analysis and neighbor-joining tree), genetic differentiation (FST and genetic distance), and migration events (TreeMix and f-statistics) of the eight domesticated chicken breeds. The results of population analytical methods revealed patterns of hybridization that occurred after divergence in Tibetan chicken. We argue that chicken migration and admixture, followed by trade, have been important forces in shaping the genomic variation in modern Chinese chicken. Moreover, isolation by distance might play a critical role in shaping the genomic variation within Eurasia continent chicken breeds. Moreover, genetic information provided in this study is valuable resources for production applications (genomic prediction, and breeding strategy) and scientific research (genetic basis detection, studying evolution, or domestication).
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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
| | - Pedro Almeida
- Department of Genetics, Evolution and Environment, University College London, United Kingdom
| | - Yaxiong Jia
- Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Haigang Bao
- National Engineering Laboratory for Animal Breeding, College of Animal 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
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Mao H, Wang X, Fan Y, Cheng D, Chen K, Liu S, Xi S, Wan L, Li X, Ren J. Whole-genome SNP data unravel population structure and signatures of selection for black plumage of indigenous chicken breeds from Jiangxi province, China. Anim Genet 2019; 50:475-483. [PMID: 31305959 DOI: 10.1111/age.12827] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/16/2019] [Indexed: 01/23/2023]
Abstract
Ten indigenous chicken breeds were originally distributed in Jiangxi Province, China, and they define a critical component of Chinese chicken genetic resources. We have investigated the population genetics of seven Jiangxi chicken breeds using 600K chicken BeadChip SNP data. To provide a genome-wide perspective for the population structure of all 10 Jiangxi chicken breeds, we herein genotyped 78 additional individuals from the seven breeds and 63 chickens from three uninvestigated breeds-Yugan Black (YG), Nancheng Black (NC) and Wanzai Yellow using 55K chicken SNP arrays. We then explored merged data of 17 101 SNPs from 235 individuals to infer the population structure of the 10 breeds. We showed that NC and YG are two regional populations of the same breed, as individuals from the two populations clustered together to form a branch separate from the other breeds in the neighbor-joining tree, they always grouped together in multidimensional principal component analyses and they displayed an identical pattern of ancestral lineage composition. Hence, NC and YG should be considered a single breed in the state-supported conservation scheme. Moreover, we conducted a genome scan for signatures of selection for black plumage. bayescan and hapflk analyses of two contrasting groups (three black-feathered breeds vs. six non-black-feathered breeds) consistently detected 25 putative regions under selection. Nine pigmentation- associated genes (DCT, SLC24A5, SLC30A4, MYO5A, CYP19A1, NADK2, SLC45A2, GNAQ and DCP2) reside within these regions, and these genes are interesting candidates for black plumage and provide a starting point for further identification of causative mutations for black feathers in chicken.
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Affiliation(s)
- H Mao
- College of Animal Science and Technology, Jiangxi Agricultural University, Nanchang, 330045, Jiangxi, China
| | - X Wang
- College of Animal Science and Technology, Jiangxi Agricultural University, Nanchang, 330045, Jiangxi, China
| | - Y Fan
- Department of Animal Science, Jiangxi Biotech Vocational College, Nanchang, 330200, Jiangxi, China
| | - D Cheng
- College of Animal Science and Technology, Jiangxi Agricultural University, Nanchang, 330045, Jiangxi, China
| | - K Chen
- College of Animal Science and Technology, Jiangxi Agricultural University, Nanchang, 330045, Jiangxi, China
| | - S Liu
- College of Animal Science and Technology, Jiangxi Agricultural University, Nanchang, 330045, Jiangxi, China
| | - S Xi
- College of Animal Science and Technology, Jiangxi Agricultural University, Nanchang, 330045, Jiangxi, China
| | - L Wan
- College of Animal Science and Technology, Jiangxi Agricultural University, Nanchang, 330045, Jiangxi, China
| | - X Li
- Unit of Animal Husbandry, Agricultural Bureau of Dongxiang District, Fuzhou, 331800, Jiangxi, China
| | - J Ren
- College of Animal Science, South China Agricultural University, 510642, Guangzhou, China
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