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Maciel SVSA, Oliveira IPP, Senes BB, Silva JAIDV, Feitosa FLB, Alves JS, Costa RB, de Camargo GMF. Genomic regions associated with coat color in Gir cattle. Genome 2024. [PMID: 38579337 DOI: 10.1139/gen-2023-0115] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/07/2024]
Abstract
Indicine cattle breeds are adapted to the tropical climate, and their coat plays an important role in this process. Coat color influences thermoregulation and the adhesion of ectoparasites and may be associated with productive and reproductive traits. Furthermore, coat color is used for breed qualification, with breeders preferring certain colors. The Gir cattle is characterized by a wide variety of coat colors. Therefore, we performed genome-wide association studies to identify candidate genes for coat color in Gir cattle. Different phenotype scenarios were considered in the analyses and regions were identified on eight chromosomes. Some regions and many candidate genes are influencing coat color in the Gir cattle, which was found to be a polygenic trait. The candidate genes identified have been associated with white spotting patterns and base coat color in cattle and other species. In addition, a possible epistatic effect on coat color determination in the Gir cattle was suggested. This is the first published study that identified genomic regions and listed candidate genes associated with coat color in Gir cattle. The findings provided a better understanding of the genetic architecture of the trait in the breed and will allow to guide future fine-mapping studies for the development of genetic markers for selection.
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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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Zhao Q, Li Y, Liang Q, Zhao J, Kang K, Hou M, Zhang X, Du R, Kong L, Liang B, Huang W. The infertile individual analysis based on whole-exome sequencing in chinese multi-ethnic groups. Genes Genomics 2023; 45:531-542. [PMID: 36115009 DOI: 10.1007/s13258-022-01307-z] [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: 03/30/2022] [Accepted: 08/10/2022] [Indexed: 11/30/2022]
Abstract
BACKGROUND Infertility is a common and rapidly growing health issue around the world. The genetic analysis based on the infertile population is crucial for intervention and treatment. OBJECTIVE To find candidate gene locus led to azoospermia in Chinese multi-ethnic groups and provide theoretical guidance for the diagnosis of genetic diseases to progressively aggravated infertility patients and sterile offspring with ART. METHODS The study based on whole-exome sequencing (WES) was presented for genetic characteristic analysis of multi-ethnics and identification of variants related to infertility in Xinjiang area of China. RESULTS The frequency of pathogenic variants showed significant ethnic differences among four main ethnics in Xinjiang. The population structure analysis confirmed that the Hui was close to the Han population, the Kazak was close to the Uygur population, and there are three ancestry components in the four ethnics. In addition, ten candidate variants potentially regulated azoospermia were detected, and KNTC1 (rs7968222: G > T) was chosen to validate the association. Through the analysis in the valid group, the frequency of rs7968222 (G > T) has a significant difference in the azoospermia population (11.76%, 8/68) and normospermia population (4.63%, 35/756) (P < 0.001). Interestingly, the proportion of people with abnormal follicle-stimulating hormone (FSH) level in the group carrying rs7968222 (G > T) was significantly higher than non-carriers (P < 0.05). Therefore, rs7968222 may regulate spermatogenesis through affecting hormone level. CONCLUSION Our study establishes the genetics analysis of Northwest China and finds a candidate gene locus KNTC1 (rs7968222: G > T), which is one of the genetic susceptibility factors for male azoospermia.
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Affiliation(s)
- Qiongzhen Zhao
- Tanzhi Stem Cell Bank of Xinjiang, 844000, Tumshuk, Xinjiang, China
| | - Yanqi Li
- Tanzhi Stem Cell Bank of Xinjiang, 844000, Tumshuk, Xinjiang, China
| | - Qi Liang
- Xinjiang Jiayin hospital, 830000, Urumqi, Xinjiang, China
| | - Jie Zhao
- Xinjiang Jiayin hospital, 830000, Urumqi, Xinjiang, China
| | - Kai Kang
- Basecare Medical Device Co., Ltd, 215001, Suzhou, Jiangsu, China
| | - Meiling Hou
- Suzhou BioX Research Institute, 215001, Suzhou, Jiangsu, China
| | - Xin Zhang
- Basecare Medical Device Co., Ltd, 215001, Suzhou, Jiangsu, China
| | - Renqian Du
- Basecare Medical Device Co., Ltd, 215001, Suzhou, Jiangsu, China
| | - Lingyin Kong
- Basecare Medical Device Co., Ltd, 215001, Suzhou, Jiangsu, China
| | - Bo Liang
- State Key Laboratory of Microbial Metabolism, Joint International Research Laboratory of Metabolic and Developmental Sciences, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, 200020, Shanghai, China.
| | - Weidong Huang
- Tanzhi Stem Cell Bank of Xinjiang, 844000, Tumshuk, Xinjiang, China.
- Xinjiang Jiayin hospital, 830000, Urumqi, Xinjiang, China.
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Heo S, Cho S, Dinh PTN, Park J, Jin DH, Cha J, Kim YK, Koh YJ, Lee SH, Lee JH. A genome-wide association study for eumelanin pigmentation in chicken plumage using a computer vision approach. Anim Genet 2023; 54:355-362. [PMID: 36855963 DOI: 10.1111/age.13303] [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: 07/25/2022] [Revised: 11/28/2022] [Accepted: 01/26/2023] [Indexed: 03/02/2023]
Abstract
Chicken plumage colouration is an important trait related to productivity in poultry industry. Therefore, the genetic basis for pigmentation in chicken plumage is an area of great interest. However, the colour trait is generally regarded as a qualitative trait and representing colour variations is difficult. In this study, we developed a method to quantify and classify colour using an F2 population crossed from two pure lines: White Leghorn and the Korean indigenous breed Yeonsan Ogye. Using red, green, and blue values in the cropped body region, we identified significant genomic regions on chromosomes 33:3 160 480-7 447 197 and Z:78 748 287-79 173 793. Furthermore, we identified two potential candidate genes (PMEL and MTAP) that might have significant effects on melanin-based plumage pigmentation. Our study presents a new phenotyping method using a computer vision approach and provides new insights into the genetic basis of melanin-based feather colouration in chickens.
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Affiliation(s)
- Seonyeong Heo
- Department of Bio-AI Convergence, Chungnam National University, Daejeon, South Korea
| | - Sunghyun Cho
- Research and Development Center, Insilicogen Inc., Yongin, South Korea
| | | | - Jongho Park
- Department of Bio-AI Convergence, Chungnam National University, Daejeon, South Korea
| | - Dae-Hyeok Jin
- Animal Genetic Resources Research Center, National Institute of Animal Science, Rural Development Administration, Hamyang, South Korea
| | - Jihye Cha
- Animal Genome & Bioinformatics, National Institute of Animal Science, Rural Development Administration, Wanju, South Korea
| | - Young-Kuk Kim
- Department of Bio-AI Convergence, Chungnam National University, Daejeon, South Korea.,Department of Computer Science & Engineering, Chungnam National University, Daejeon, South Korea
| | - Yeong Jun Koh
- Department of Bio-AI Convergence, Chungnam National University, Daejeon, South Korea.,Department of Computer Science & Engineering, Chungnam National University, Daejeon, South Korea
| | - Seung Hwan Lee
- Department of Bio-AI Convergence, Chungnam National University, Daejeon, South Korea.,Division of Animal and Dairy Science, Chungnam National University, Daejeon, South Korea
| | - Jun Heon Lee
- Department of Bio-AI Convergence, Chungnam National University, Daejeon, South Korea.,Division of Animal and Dairy Science, Chungnam National University, Daejeon, South Korea
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Genome-Wide Genetic Structure of Henan Indigenous Chicken Breeds. Animals (Basel) 2023; 13:ani13040753. [PMID: 36830540 PMCID: PMC9952073 DOI: 10.3390/ani13040753] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2023] [Revised: 02/14/2023] [Accepted: 02/16/2023] [Indexed: 02/22/2023] Open
Abstract
There are five indigenous chicken breeds in Henan Province, China. These breeds have their own unique phenotypic characteristics in terms of morphology, behavior, skin and feather color, and productive performance, but their genetic basis is not well understood. Therefore, we analyzed the genetic structure, genomic diversity, and migration history of Henan indigenous chicken populations and the selection signals and genes responsible for Henan gamecock unique phenotypes using whole genome resequencing. The results indicate that Henan native chickens clustered most closely with the chicken populations in neighboring provinces. Compared to other breeds, Henan gamecock's inbreeding and selection intensity were more stringent. TreeMix analysis revealed the gene flow from southern chicken breeds into the Zhengyang sanhuang chicken and from the Xichuan black-bone chicken into the Gushi chicken. Selective sweep analysis identified several genes and biological processes/pathways that were related to body size, head control, muscle development, reproduction, and aggression control. Additionally, we confirmed the association between genotypes of SNPs in the strong selective gene LCORL and body size and muscle development in the Gushi-Anka F2 resource population. These findings made it easier to understand the traits of the germplasm and the potential for using the Henan indigenous chicken.
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Zhou G, Liu T, Wang Y, Qu H, Shu D, Jia X, Luo C. Genome-Wide Association Studies Provide Insight Into the Genetic Determination for Hyperpigmentation of the Visceral Peritoneum in Broilers. Front Genet 2022; 13:820297. [PMID: 35299951 PMCID: PMC8921551 DOI: 10.3389/fgene.2022.820297] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2021] [Accepted: 02/09/2022] [Indexed: 11/29/2022] Open
Abstract
Hyperpigmentation of the visceral peritoneum (HVP) has been becoming one of the most challenging problems in yellow-feathered chicken production, which seriously affected chicken carcass quality traits. Detecting which genes dominantly impact pigmentation in the peritoneum tissues is of great benefit to the genetic improvement of HVP. To investigate the genetic mechanism of HVP in yellow-feathered broilers, genome-wide association studies (GWASs) were conducted in the F2 generation of a cross broiler population with 395 birds. A total of 115,706 single-nucleotide polymorphisms (SNPs) of 122,415 were retained to identify quantitative trait loci (QTL) associated to HVP in chicken. The GWAS results based on the logistic mixed model (LMM) revealed that a narrow genomic location on chromosomes 1 (49.2–51.3 Mb) was significantly associated (p ≤ 4.32 × 10−7) with HVP, which contained 23 SNP makers related to 14 functional genes (MFNG, POLDIP3, POLR2F, PICK1, PDXP, SGSM3, RANGAP1, MYH9, RPL3, GALP3, LGALS1, MICALL1, ATF4, and CYP2D6). Four highly associated (p < 10−5) haplotype blocks of 0.80 kb (two SNPs), 0.06 kb (two SNPs), 0.95 kb (two SNPs), and 0.03 kb (two SNPs) were identified with two, two, four, and four distinct haplotypes, respectively. As a melanoma-associated gene, CYP2D6 were also possibly involved in the development of HVP occurring in chicken with two significant variations (rs314284996 and rs317955795) in the promoter regions. Further tests revealed that the expression of CYP2D6 was obviously higher in the visceral peritoneum tissue of chicken with HVP than that in the normal group (p < 0.05). Our results provide a novel clue to understand the genetic mechanism of HVP generation in chicken, and the mapped QTL or candidate genes might serve for genomic selection to improve carcass quality in the yellow-feathered chicken industry.
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Affiliation(s)
- Guangyuan Zhou
- Guangdong Provincial Key Laboratory of Animal Molecular Design and Precise Breeding, School of Life Sciences and Engineering, Foshan University, Foshan, China
- State Key Laboratory of Livestock and Poultry Breeding, Guangdong Key Laboratory of Animal Breeding and Nutrition, Institute of Animal Science, Guangdong Academy of Agricultural Sciences, Guangzhou, China
| | - Tianfei Liu
- State Key Laboratory of Livestock and Poultry Breeding, Guangdong Key Laboratory of Animal Breeding and Nutrition, Institute of Animal Science, Guangdong Academy of Agricultural Sciences, Guangzhou, China
| | - Yan Wang
- State Key Laboratory of Livestock and Poultry Breeding, Guangdong Key Laboratory of Animal Breeding and Nutrition, Institute of Animal Science, Guangdong Academy of Agricultural Sciences, Guangzhou, China
| | - Hao Qu
- State Key Laboratory of Livestock and Poultry Breeding, Guangdong Key Laboratory of Animal Breeding and Nutrition, Institute of Animal Science, Guangdong Academy of Agricultural Sciences, Guangzhou, China
| | - Dingming Shu
- State Key Laboratory of Livestock and Poultry Breeding, Guangdong Key Laboratory of Animal Breeding and Nutrition, Institute of Animal Science, Guangdong Academy of Agricultural Sciences, Guangzhou, China
| | - Xinzheng Jia
- Guangdong Provincial Key Laboratory of Animal Molecular Design and Precise Breeding, School of Life Sciences and Engineering, Foshan University, Foshan, China
- *Correspondence: Xinzheng Jia, ; Chenglong Luo,
| | - Chenglong Luo
- State Key Laboratory of Livestock and Poultry Breeding, Guangdong Key Laboratory of Animal Breeding and Nutrition, Institute of Animal Science, Guangdong Academy of Agricultural Sciences, Guangzhou, China
- *Correspondence: Xinzheng Jia, ; Chenglong Luo,
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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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Weng Z, Xu Y, Zhong M, Li W, Chen J, Zhong F, Du B, Zhang B, Huang X. Runs of homozygosity analysis reveals population characteristics of yellow-feathered chickens using re-sequencing data. Br Poult Sci 2021; 63:307-315. [PMID: 34747677 DOI: 10.1080/00071668.2021.2003752] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
1. To evaluate the inbreeding of yellow-feathered chickens (YFCs) and identify genes related to their unique characteristics, whole-genome re-sequencing data were applied to detect runs of homozygosity (ROH) in the genomes of ten YFC breeds. The number, length, distribution of ROH, and inbreeding coefficient in different YFC populations were calculated. Genomic regions with high frequency in ROH were annotated.2. In total, 25,547 ROH with an average length of 335 kb were detected, with most being <1 Mb. The domination of short ROH reflected the long breeding history of this chicken. The number, length, frequency, and distribution of ROH varied among chicken populations, and high genetic diversity was maintained.3. Numerous genes related to YFC characteristics were identified in the high-frequency ROH regions. Among these, IFNA, IFNB, IL11RA, IL22RA1, IFNLR1, and TRIF genes were involved in disease resistance. The AMY, G6PC, SDHB, GCNT4, and ACO genes were associated with energy material metabolism; and FABPL, AQP7, ACAA2, and RYR2 were related to meat quality and flavour. The KITLG, CREB3, RYR2, and LGR4 genes, related to pigmentation, were detected.4. This ROH-based inbreeding evaluation laid the foundation for breeding and conservation of YFC populations, and the candidate genes identified can be used for marker-assisted selection.
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Affiliation(s)
- Zhuoxian Weng
- Jiaying University/Guangdong Provincial Key Laboratory of Conservation and Precision Utilization of Characteristic Agricultural Resources in Mountainous Areas, Meizhou 514015, China.,College of Animal Science and Technology, Hunan Agricultural University, Changsha 410128, China.,Guangdong Innovation Centre for Science and Technology of Wuhua Yellow Chicken, Meizhou, 514015, China
| | - Yongjie Xu
- Jiaying University/Guangdong Provincial Key Laboratory of Conservation and Precision Utilization of Characteristic Agricultural Resources in Mountainous Areas, Meizhou 514015, China.,Guangdong Innovation Centre for Science and Technology of Wuhua Yellow Chicken, Meizhou, 514015, China
| | - Ming Zhong
- Jiaying University/Guangdong Provincial Key Laboratory of Conservation and Precision Utilization of Characteristic Agricultural Resources in Mountainous Areas, Meizhou 514015, China.,Guangdong Innovation Centre for Science and Technology of Wuhua Yellow Chicken, Meizhou, 514015, China
| | - Weina Li
- Jiaying University/Guangdong Provincial Key Laboratory of Conservation and Precision Utilization of Characteristic Agricultural Resources in Mountainous Areas, Meizhou 514015, China.,Guangdong Innovation Centre for Science and Technology of Wuhua Yellow Chicken, Meizhou, 514015, China
| | - Jiebo Chen
- Guangdong Innovation Centre for Science and Technology of Wuhua Yellow Chicken, Meizhou, 514015, China
| | - Fusheng Zhong
- Jiaying University/Guangdong Provincial Key Laboratory of Conservation and Precision Utilization of Characteristic Agricultural Resources in Mountainous Areas, Meizhou 514015, China.,Guangdong Innovation Centre for Science and Technology of Wuhua Yellow Chicken, Meizhou, 514015, China
| | - Bingwang Du
- Jiaying University/Guangdong Provincial Key Laboratory of Conservation and Precision Utilization of Characteristic Agricultural Resources in Mountainous Areas, Meizhou 514015, China.,Guangdong Innovation Centre for Science and Technology of Wuhua Yellow Chicken, Meizhou, 514015, China
| | - Bin Zhang
- College of Animal Science and Technology, Hunan Agricultural University, Changsha 410128, China
| | - Xunhe Huang
- Jiaying University/Guangdong Provincial Key Laboratory of Conservation and Precision Utilization of Characteristic Agricultural Resources in Mountainous Areas, Meizhou 514015, China.,Guangdong Innovation Centre for Science and Technology of Wuhua Yellow Chicken, Meizhou, 514015, China
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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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Kulikova IV. Molecular Mechanisms and Gene Regulation of Melanic Plumage Coloration in Birds. RUSS J GENET+ 2021. [DOI: 10.1134/s102279542108007x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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