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Ji G, Zhang M, Ju X, Liu Y, Shan Y, Tu Y, Zou J, Shu J, Li H, Zhao W. Dynamic Transcriptome Profile Analysis of Mechanisms Related to Melanin Deposition in Chicken Muscle Development. Animals (Basel) 2024; 14:2702. [PMID: 39335292 PMCID: PMC11428610 DOI: 10.3390/ani14182702] [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: 07/31/2024] [Revised: 09/10/2024] [Accepted: 09/11/2024] [Indexed: 09/30/2024] Open
Abstract
The pectoral muscle is an important component of skeletal muscle. The blackness of pectoral muscles can directly affect the economic value of black-boned chickens. Although the genes associated with melanogenesis in mammals and birds have been thoroughly investigated, only little is known about the key genes involved in muscle hyperpigmentation during embryonic development. Here, we analyzed melanin deposition patterns in the pectoral muscle of Yugan black-boned chickens and compared differentially expressed genes (DEGs) between the muscles of Wenchang (non-black-boned chickens) and Yugan black-boned chickens on embryonic days 9, 13, 17, and 21. Melanin pigments were found to gradually accumulate in the muscle fibers over time. Using RNA-seq, there were 40, 97, 169, and 94 genes were identified as DEGs, respectively, between Yugan black-boned chicken muscles and Wenchang chickens at embryonic day 9, 13, 17, and 21 stages (fold change ≥2.0, false discovery rate (FDR) < 0.05). Thirteen DEGs, such as MSTRG.720, EDNRB2, TYRP1, and DCT, were commonly identified among the time points observed. These DEGs were mainly involved in pigmentation, melanin biosynthetic and metabolic processes, and secondary metabolite biosynthetic processes. Pathway analysis of the DEGs revealed that they were mainly associated with melanogenesis and tyrosine metabolism. Moreover, weighted gene co-expression network analysis (WGCNA) was used to detect core modules and central genes related to melanogenesis in the muscles of black-boned chickens. A total of 24 modules were identified. Correlation analysis indicated that one of them (the orange module) was positively correlated with muscle pigmentation traits (r > 0.8 and p < 0.001). Correlations between gene expression and L* values of the breast muscle were investigated in Yugan and Taihe black-boned chickens after hatching. The results confirmed that EDNRB2, GPNMB, TRPM1, TYR, and DCT expression levels were significantly associated with L* values (p < 0.01) in black-boned chickens (p < 0.05). Our results suggest that EDNRB2, GPNMB, TRPM1, TYR, and DCT are the essential genes regulating melanin deposition in the breast muscle of black-boned chickens. MSTRG.720 is a potential candidate gene involved in melanin deposition in the breast muscles of Yugan black-boned chickens.
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Affiliation(s)
- Gaige Ji
- Key Laboratory for Poultry Genetics and Breeding of Jiangsu Province, Jiangsu Institute of Poultry Science, Yangzhou 225125, China
| | - Ming Zhang
- Key Laboratory for Poultry Genetics and Breeding of Jiangsu Province, Jiangsu Institute of Poultry Science, Yangzhou 225125, China
| | - Xiaojun Ju
- Key Laboratory for Poultry Genetics and Breeding of Jiangsu Province, Jiangsu Institute of Poultry Science, Yangzhou 225125, China
| | - Yifan Liu
- Key Laboratory for Poultry Genetics and Breeding of Jiangsu Province, Jiangsu Institute of Poultry Science, Yangzhou 225125, China
| | - Yanju Shan
- Key Laboratory for Poultry Genetics and Breeding of Jiangsu Province, Jiangsu Institute of Poultry Science, Yangzhou 225125, China
| | - Yunjie Tu
- Key Laboratory for Poultry Genetics and Breeding of Jiangsu Province, Jiangsu Institute of Poultry Science, Yangzhou 225125, China
| | - Jianmin Zou
- Key Laboratory for Poultry Genetics and Breeding of Jiangsu Province, Jiangsu Institute of Poultry Science, Yangzhou 225125, China
| | - Jingting Shu
- Key Laboratory for Poultry Genetics and Breeding of Jiangsu Province, Jiangsu Institute of Poultry Science, Yangzhou 225125, China
| | - Hua Li
- School of Life Science and Engineering, Foshan University, Foshan 528231, China
| | - Weidong Zhao
- Taihe Fengsheng Agricultural and Livestock Co., Ltd., Ji’an 343732, China
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Chen C, Li J, Li Z, Nong Y, Wang J, Wang Z, Li Z. Whole-genome resequencing reveals melanin deposition candidate genes of Luning chicken. BMC Genomics 2024; 25:858. [PMID: 39271972 PMCID: PMC11401408 DOI: 10.1186/s12864-024-10774-5] [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: 01/09/2024] [Accepted: 09/04/2024] [Indexed: 09/15/2024] Open
Abstract
BACKGROUND Melanin in the black-bone chicken's body is considered the material basis for its medicinal effects and is an economically important trait. Therefore, improving the melanin content is a crucial focus in the breeding process of black-bone chickens. Luning chickens are black-bone chickens, with black beaks, skin, and meat. To investigate the genetic diversity and molecular mechanisms of melanin deposition in Luning chickens, we conducted whole-genome resequencing to analyze their breeding history and identify candidate genes influencing their black phenotype, along with transcriptome sequencing of dorsal skin tissues of male Luning chickens. RESULTS Population structure analysis revealed that Luning chickens tend to cluster independently and are closely related to Tibetan chickens. Runs of homozygosity analysis suggested potential inbreeding in the Luning chicken and Tibetan chicken population. By combining genetic differentiation index (Fst) and nucleotide diversity (θπ) ratios, we pinpointed selected regions associated with melanin deposition. Gene annotation identified 540 genes with the highest Fst value in LOC101750371 and LOC121108313, located on the 68.24-68.58 Mb interval of chromosome Z. Combining genomic and transcriptomic data, we identified ATP5E, EDN3, and LOC101750371 as candidate genes influencing skin color traits in black-bone chickens. CONCLUSIONS This study characterized the evolutionary history of Luning chickens and preliminarily excavated candidate genes influencing the genetic mechanism of pigmentation in black-bone chickens, providing valuable insights for the study of animal melanin deposition.
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Affiliation(s)
- Chuwen Chen
- Key Laboratory of Qinghai-Tibetan Plateau Animal Genetic Resource Reservation and Utilization (Southwest Minzu University), Ministry of Education, Chengdu, China
- Key Laboratory of Animal Science of National Ethnic Affairs Commission of China, Southwest Minzu University, Chengdu, China
- College of Animal & Veterinary Sciences, Southwest Minzu University, Chengdu, China
| | - Jie Li
- Key Laboratory of Qinghai-Tibetan Plateau Animal Genetic Resource Reservation and Utilization (Southwest Minzu University), Ministry of Education, Chengdu, China
- Key Laboratory of Animal Science of National Ethnic Affairs Commission of China, Southwest Minzu University, Chengdu, China
- College of Animal & Veterinary Sciences, Southwest Minzu University, Chengdu, China
| | - Zhiyi Li
- Key Laboratory of Qinghai-Tibetan Plateau Animal Genetic Resource Reservation and Utilization (Southwest Minzu University), Ministry of Education, Chengdu, China
- Key Laboratory of Animal Science of National Ethnic Affairs Commission of China, Southwest Minzu University, Chengdu, China
- College of Animal & Veterinary Sciences, Southwest Minzu University, Chengdu, China
| | - Yi Nong
- Key Laboratory of Qinghai-Tibetan Plateau Animal Genetic Resource Reservation and Utilization (Southwest Minzu University), Ministry of Education, Chengdu, China
- Key Laboratory of Animal Science of National Ethnic Affairs Commission of China, Southwest Minzu University, Chengdu, China
- College of Animal & Veterinary Sciences, Southwest Minzu University, Chengdu, China
| | - Jiayan Wang
- Key Laboratory of Qinghai-Tibetan Plateau Animal Genetic Resource Reservation and Utilization (Southwest Minzu University), Ministry of Education, Chengdu, China
- Key Laboratory of Animal Science of National Ethnic Affairs Commission of China, Southwest Minzu University, Chengdu, China
- College of Animal & Veterinary Sciences, Southwest Minzu University, Chengdu, China
| | - Zi Wang
- Key Laboratory of Qinghai-Tibetan Plateau Animal Genetic Resource Reservation and Utilization (Southwest Minzu University), Ministry of Education, Chengdu, China
- Key Laboratory of Animal Science of National Ethnic Affairs Commission of China, Southwest Minzu University, Chengdu, China
- College of Animal & Veterinary Sciences, Southwest Minzu University, Chengdu, China
| | - Zhixiong Li
- Key Laboratory of Qinghai-Tibetan Plateau Animal Genetic Resource Reservation and Utilization (Southwest Minzu University), Ministry of Education, Chengdu, China.
- Key Laboratory of Animal Science of National Ethnic Affairs Commission of China, Southwest Minzu University, Chengdu, China.
- College of Animal & Veterinary Sciences, Southwest Minzu University, Chengdu, China.
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3
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Liu C, Liu P, Liu S, Guo H, Zhu T, Li W, Wang K, Kang X, Sun G. Genetic structure, selective characterization and specific molecular identity cards of high-yielding Houdan chickens based on genome-wide SNP. Poult Sci 2024; 103:104325. [PMID: 39316988 PMCID: PMC11462333 DOI: 10.1016/j.psj.2024.104325] [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: 05/29/2024] [Revised: 09/04/2024] [Accepted: 09/07/2024] [Indexed: 09/26/2024] Open
Abstract
The high-yielding Houdan chicken (GGF) is characterized by high egg production and disease resistance. This study conducted whole genome resequencing of the GGF population and compared it to data from other breeds. Genetic diversity analysis revealed higher observed heterozygosity (Ho), Polymorphism information content (PIC), number of runs of homozygosity (ROH), and inbreeding coefficient (FROH) in GGF. Linkage disequilibrium (LD) decay was slowest in GGF, indicating intensive inbreeding and strong selection. These findings suggest a need for appropriate strategies to enhance genetic diversity conservation in this breed. Population structure analysis demonstrated that GGF was genetically distinct from both the red jungle fowl (RJF) and Chinese indigenous chicken (CIC) populations, highlighting GGF as a unique genetic resource warranting intensive protection and utilization. Selective sweep analysis identified genes under selection in GGF, primarily enriched in signaling pathways related to oocyte meiosis and progesterone-mediated oocyte maturation. Key candidate genes included: CCNE1, SKP1, CDC20, CDK2, ADCY8, RPS6KA6, PPP3CB, PDE3B, HSP90AB1, and AKT3. These findings provide a theoretical foundation for their potential application in poultry breeding. Additionally, this study combined bioinformatics analysis with PCR amplification and Sanger sequencing to identify 4 SNPs that can serve as a molecular identity card (ID) for GGF: SNP1 (Chr2: 136130976), SNP3 (Chr4:11705164), SNP4 (Chr4: 63255588), and SNP5 (Chr24: 3271008). This study provides a scientific basis for effective management and conservation of GGF genetic resources, and establishes a simple, economical, and accurate set of molecular IDs to combat the proliferation of inferior breeds and protect genetic resources.
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Affiliation(s)
- Cong Liu
- The Shennong Laboratory, Henan Agricultural University, Zhengzhou 450046, China
| | - Pingquan Liu
- Key Laboratory of Livestock and Poultry Resources (Poultry) Evaluation and Utilization of Ministry of Agriculture and Rural Affairs, Henan Agricultural University, Zhengzhou 450046, China
| | - Shuangxing Liu
- Key Laboratory of Livestock and Poultry Resources (Poultry) Evaluation and Utilization of Ministry of Agriculture and Rural Affairs, Henan Agricultural University, Zhengzhou 450046, China
| | - Haishan Guo
- Key Laboratory of Livestock and Poultry Resources (Poultry) Evaluation and Utilization of Ministry of Agriculture and Rural Affairs, Henan Agricultural University, Zhengzhou 450046, China
| | - Tingqi Zhu
- Key Laboratory of Livestock and Poultry Resources (Poultry) Evaluation and Utilization of Ministry of Agriculture and Rural Affairs, Henan Agricultural University, Zhengzhou 450046, China
| | - Wenting Li
- The Shennong Laboratory, Henan Agricultural University, Zhengzhou 450046, China; Key Laboratory of Livestock and Poultry Resources (Poultry) Evaluation and Utilization of Ministry of Agriculture and Rural Affairs, Henan Agricultural University, Zhengzhou 450046, China
| | - Kejun Wang
- The Shennong Laboratory, Henan Agricultural University, Zhengzhou 450046, China
| | - Xiangtao Kang
- The Shennong Laboratory, Henan Agricultural University, Zhengzhou 450046, China
| | - Guirong Sun
- The Shennong Laboratory, Henan Agricultural University, Zhengzhou 450046, China; Key Laboratory of Livestock and Poultry Resources (Poultry) Evaluation and Utilization of Ministry of Agriculture and Rural Affairs, Henan Agricultural University, Zhengzhou 450046, China.
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Horecka B, Wojciechowski W, Drabik K, Wengerska K, Batkowska J. Characterization of the Coding Sequence of the MC1R (Melanocortin 1 Receptor) Gene of Ayam Cemani Black Chickens. Animals (Basel) 2024; 14:2507. [PMID: 39272291 PMCID: PMC11394068 DOI: 10.3390/ani14172507] [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: 08/02/2024] [Revised: 08/21/2024] [Accepted: 08/27/2024] [Indexed: 09/15/2024] Open
Abstract
Plumage color is one of the most important traits characterizing chicken breeds. Black-boned chickens constitute a specific group of breeds with a unique phenotype. One of the representatives is the Indonesian Ayam Cemani. The extraordinary black phenotype results from a specific chromosomal rearrangement. We used complete CDS of crucial color-related gene MC1R, which plays a key role in melanin distribution but has not been previously studied in Ayam Cemani. It turned out that Ayam Cemani individuals possess a newly found non-synonymous mutation G355A resulting in amino acid substitution D119N. Together with the presence of G274A (E92K), the new missense variant enabled us to distinguish a new extended black allele at the E locus. All of the investigated birds were heterozygous in terms of the new mutation. Previous studies and our own results indicate a high level of genetic variation within the MC1R gene within and between chicken breeds. Besides the key mutations that make it possible to distinguish particular major alleles, there are also numerous substitutions that give haplotypes more characteristics for individual breeds.
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Affiliation(s)
- Beata Horecka
- Institute of Biological Basis of Animal Production, University of Life Sciences in Lublin, 20-950 Lublin, Poland
| | - Witold Wojciechowski
- Institute of Biological Basis of Animal Production, University of Life Sciences in Lublin, 20-950 Lublin, Poland
| | - Kamil Drabik
- Institute of Biological Basis of Animal Production, University of Life Sciences in Lublin, 20-950 Lublin, Poland
| | - Karolina Wengerska
- Institute of Biological Basis of Animal Production, University of Life Sciences in Lublin, 20-950 Lublin, Poland
| | - Justyna Batkowska
- Institute of Biological Basis of Animal Production, University of Life Sciences in Lublin, 20-950 Lublin, Poland
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5
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Zhao J, Mu Y, Gong P, Liu B, Zhang F, Zhu L, Shi C, Lv X, Luo J. Whole-genome resequencing of native and imported dairy goat identifies genes associated with productivity and immunity. Front Vet Sci 2024; 11:1409282. [PMID: 39040818 PMCID: PMC11260678 DOI: 10.3389/fvets.2024.1409282] [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: 03/29/2024] [Accepted: 05/23/2024] [Indexed: 07/24/2024] Open
Abstract
Understanding the differences in genetic variation between local Chinese dairy goat breeds and imported breeds can help germplasm innovation and molecular breeding. However, the research is limited in this area. In this study, whole-genome resequencing data from 134 individuals of both local and imported dairy goat breeds were analyzed, and their differences in genomic genetic variation, genetic diversity, and population structure were subsequently identified. We also screened candidate genes associated with important traits of dairy goats such as milk production (STK3, GHR, PRELID3B), reproduction (ATP5E), growth and development (CTSZ, GHR), and immune function (CTSZ, NELFCD). Furthermore, we examined allele frequency distributions for the genes of interest and found significant differences between the two populations. This study provides valuable resources for the study of genetic diversity in dairy goats and lays the foundation for the selective breeding of dairy goats in the future.
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Affiliation(s)
- Jianqing Zhao
- Shaanxi Key Laboratory of Molecular Biology for Agriculture, College of Animal Science and Technology, Northwest A&F University, Xianyang, China
| | - Yuanpan Mu
- Shaanxi Key Laboratory of Molecular Biology for Agriculture, College of Animal Science and Technology, Northwest A&F University, Xianyang, China
| | - Ping Gong
- Institute of Animal Husbandry Quality Standards, Xinjiang Academy of Animal Sciences, Urumqi, China
| | - Baolong Liu
- Shaanxi Key Laboratory of Molecular Biology for Agriculture, College of Animal Science and Technology, Northwest A&F University, Xianyang, China
| | - Fuhong Zhang
- Shaanxi Key Laboratory of Molecular Biology for Agriculture, College of Animal Science and Technology, Northwest A&F University, Xianyang, China
| | - Lu Zhu
- Shaanxi Key Laboratory of Molecular Biology for Agriculture, College of Animal Science and Technology, Northwest A&F University, Xianyang, China
| | - Chenbo Shi
- Shaanxi Key Laboratory of Molecular Biology for Agriculture, College of Animal Science and Technology, Northwest A&F University, Xianyang, China
| | - Xuefeng Lv
- Institute of Animal Husbandry Quality Standards, Xinjiang Academy of Animal Sciences, Urumqi, China
| | - Jun Luo
- Shaanxi Key Laboratory of Molecular Biology for Agriculture, College of Animal Science and Technology, Northwest A&F University, Xianyang, China
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6
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Deng C, Li M, Wang T, Duan W, Guo A, Ma G, Yang F, Dai F, Li Q. Integrating genomics and transcriptomics to identify candidate genes for high-altitude adaptation and egg production in Nixi chicken. Br Poult Sci 2024:1-13. [PMID: 38922310 DOI: 10.1080/00071668.2024.2367228] [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: 01/30/2024] [Accepted: 05/17/2024] [Indexed: 06/27/2024]
Abstract
1. This study combined genome-wide selection signal analysis with RNA-sequencing to identify candidate genes associated with high altitude adaptation and egg production performance in Nixi chickens (NXC).2. Based on the whole-genome data from 20 NXC (♂:10; ♀:10), the population selection signal was analysed by sliding window analysis. The selected genes were screened by combination with the population differentiation statistic (FST). The sequence diversity statistic (θπ). RNA-seq was performed on the ovarian tissues of NXC (n = 6) and Lohmann laying hens (n = 6) to analyse the differentially expressed genes (DEGs) between the two groups. The functional enrichment analysis of the selected genes and differentially expressed genes was performed.3. There were 742 genes under strong positive selection and 509 differentially expressed genes screened in NXC. Integrated analysis of the genome and transcriptome revealing 26 overlapping genes. The candidate genes for adaptation to a high-altitude environment, as well as for egg production, disease resistance, vision and pigmentation in NXC were preliminarily screened.4. The results provided theoretical guidance for further research on the genetic resource protection and utilisation of NXC.
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Affiliation(s)
- C Deng
- College of Biology and Food Engineering, Southwest Forestry University, Kunming, China
| | - M Li
- School of Mathematics and Computer Science, Yunnan Nationalities University, Kunming, China
| | - T Wang
- School of Pharmacy, Chengdu University, Chengdu, China
| | - W Duan
- College of Veterinary Medicine, China Agricultural University, Beijing, China
| | - A Guo
- College of Biology and Food Engineering, Southwest Forestry University, Kunming, China
| | - G Ma
- Agricultural and Rural Bureau of Gejiu County, Honghe, China
| | - F Yang
- Agricultural and Rural Bureau of Gejiu County, Honghe, China
| | - F Dai
- College of Veterinary Medicine, Yunnan Agricultural University, Kunming, China
| | - Q Li
- College of Biology and Food Engineering, Southwest Forestry University, Kunming, China
- Kunming Xianghao Technology Co. Ltd., Kunming, China
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7
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Perini F, Cendron F, Lasagna E, Cassandro M, Penasa M. Genomic insights into shank and eggshell color in Italian local chickens. Poult Sci 2024; 103:103677. [PMID: 38593544 PMCID: PMC11004871 DOI: 10.1016/j.psj.2024.103677] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2023] [Revised: 03/12/2024] [Accepted: 03/14/2024] [Indexed: 04/11/2024] Open
Abstract
Eggshell and shank color in poultry is an intriguing topic of research due to the roles in selection, breed recognition, and environmental adaptation. This study delves into the genomics foundations of shank and eggshell pigmentation in Italian local chickens through genome-wide association studies analysis to uncover the mechanisms governing these phenotypes. To this purpose, 483 animals from 20 local breeds (n = 466) and 2 commercial lines (n = 17) were considered and evaluated for shank and eggshell color. All animals were genotyped using the Affymetrix Axiom 600 K Chicken Genotyping Array. As regards shank color, the most interesting locus was detected on chromosome Z, close to the TYRP1 gene, known to play a key role in avian pigmentation. Additionally, several novel loci and genes associated with shank pigmentation, skin pigmentation, UV protection, and melanocyte regulation were identified (e.g., MTAP, CDKN2A, CDKN2B). In eggshell, fewer significant loci were identified, including SLC7A11 and MITF on chromosomes 4 and 12, respectively, associated with melanocyte processes and pigment synthesis. This comprehensive study shed light on the genetic architecture underlying shank and eggshell color in Italian native chicken breeds, contributing to a better understanding of this phenomenon which plays a role in breed identification and conservation, and has ecological and economic implications.
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Affiliation(s)
- Francesco Perini
- Department of Agronomy, Food, Natural resources, Animals and Environment, University of Padova, Legnaro, Padua 35020, Italy
| | - Filippo Cendron
- Department of Agronomy, Food, Natural resources, Animals and Environment, University of Padova, Legnaro, Padua 35020, Italy.
| | - Emiliano Lasagna
- Department of Agricultural, Food and Environmental Sciences, University of Perugia, Perugia 06121, Italy
| | - Martino Cassandro
- Department of Agronomy, Food, Natural resources, Animals and Environment, University of Padova, Legnaro, Padua 35020, Italy
| | - Mauro Penasa
- Department of Agronomy, Food, Natural resources, Animals and Environment, University of Padova, Legnaro, Padua 35020, Italy
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Wu S, Dou T, Wang K, Yuan S, Yan S, Xu Z, Liu Y, Jian Z, Zhao J, Zhao R, Wu H, Gu D, Liu L, Li Q, Wu DD, Ge C, Su Z, Jia J. Artificial selection footprints in indigenous and commercial chicken genomes. BMC Genomics 2024; 25:428. [PMID: 38689225 PMCID: PMC11061962 DOI: 10.1186/s12864-024-10291-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2023] [Accepted: 04/08/2024] [Indexed: 05/02/2024] Open
Abstract
BACKGROUND Although many studies have been done to reveal artificial selection signatures in commercial and indigenous chickens, a limited number of genes have been linked to specific traits. To identify more trait-related artificial selection signatures and genes, we re-sequenced a total of 85 individuals of five indigenous chicken breeds with distinct traits from Yunnan Province, China. RESULTS We found 30 million non-redundant single nucleotide variants and small indels (< 50 bp) in the indigenous chickens, of which 10 million were not seen in 60 broilers, 56 layers and 35 red jungle fowls (RJFs) that we compared with. The variants in each breed are enriched in non-coding regions, while those in coding regions are largely tolerant, suggesting that most variants might affect cis-regulatory sequences. Based on 27 million bi-allelic single nucleotide polymorphisms identified in the chickens, we found numerous selective sweeps and affected genes in each indigenous chicken breed and substantially larger numbers of selective sweeps and affected genes in the broilers and layers than previously reported using a rigorous statistical model. Consistent with the locations of the variants, the vast majority (~ 98.3%) of the identified selective sweeps overlap known quantitative trait loci (QTLs). Meanwhile, 74.2% known QTLs overlap our identified selective sweeps. We confirmed most of previously identified trait-related genes and identified many novel ones, some of which might be related to body size and high egg production traits. Using RT-qPCR, we validated differential expression of eight genes (GHR, GHRHR, IGF2BP1, OVALX, ELF2, MGARP, NOCT, SLC25A15) that might be related to body size and high egg production traits in relevant tissues of relevant breeds. CONCLUSION We identify 30 million single nucleotide variants and small indels in the five indigenous chicken breeds, 10 million of which are novel. We predict substantially more selective sweeps and affected genes than previously reported in both indigenous and commercial breeds. These variants and affected genes are good candidates for further experimental investigations of genotype-phenotype relationships and practical applications in chicken breeding programs.
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Affiliation(s)
- Siwen Wu
- Department of Bioinformatics and Genomics, The University of North Carolina at Charlotte, Charlotte, NC, 28223, USA
| | - Tengfei Dou
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, Yunnan, China
| | - Kun Wang
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, Yunnan, China
| | - Sisi Yuan
- Department of Bioinformatics and Genomics, The University of North Carolina at Charlotte, Charlotte, NC, 28223, USA
| | - Shixiong Yan
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, Yunnan, China
| | - Zhiqiang Xu
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, Yunnan, China
| | - Yong Liu
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, Yunnan, China
| | - Zonghui Jian
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, Yunnan, China
| | - Jingying Zhao
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, Yunnan, China
| | - Rouhan Zhao
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, Yunnan, China
| | - Hao Wu
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, Yunnan, China
| | - Dahai Gu
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, Yunnan, China
| | - Lixian Liu
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, Yunnan, China
| | - Qihua Li
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, Yunnan, China
| | - Dong-Dong Wu
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
- Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, China
| | - Changrong Ge
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, Yunnan, China.
| | - Zhengchang Su
- Department of Bioinformatics and Genomics, The University of North Carolina at Charlotte, Charlotte, NC, 28223, USA.
| | - Junjing Jia
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, Yunnan, China.
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Li R, Li D, Xu S, Zhang P, Zhang Z, He F, Li W, Sun G, Jiang R, Li Z, Tian Y, Liu X, Kang X. Whole-transcriptome sequencing reveals a melanin-related ceRNA regulatory network in the breast muscle of Xichuan black-bone chicken. Poult Sci 2024; 103:103539. [PMID: 38382189 PMCID: PMC10900940 DOI: 10.1016/j.psj.2024.103539] [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: 11/28/2023] [Revised: 01/31/2024] [Accepted: 02/05/2024] [Indexed: 02/23/2024] Open
Abstract
The economic losses incurred due to reduced muscle pigmentation highlight the crucial role of melanin-based coloration in the meat of black-bone chickens. Melanogenesis in the breast muscle of black-bone chickens is currently poorly understood in terms of molecular mechanisms. This study employed whole-transcriptome sequencing to analyze black and white breast muscle samples from black-bone chickens, leading to the identification of 367 differentially expressed (DE) mRNAs, 48 DElncRNAs, 104 DEcircRNAs, and 112 DEmiRNAs involved in melanin deposition. Based on these findings, a competitive endogenous RNA (ceRNA) network was developed to better understand the complex mechanisms of melanin deposition. Furthermore, our analysis revealed key DEmRNAs (TYR, DCT, EDNRB, MLPH and OCA2) regulated by DEmiRNAs (gga-miR-140-5p, gga-miR-1682, gga-miR-3529, gga-miR-499-3p, novel-m0012-3p, gga-miR-200b-5p, gga-miR-203a, gga-miR-6651-5p, gga-miR-7455-3p, gga-miR-31-5p, miR-140-x, miR-455-x, novel-m0065-3p, gga-miR-29b-1-5p, miR-455-y, novel-m0085-3p, and gga-miR-196-1-3p). These DEmiRNAs competitively interacted with DElncRNAs including MSTRG.2609.2, MSTRG.4185.1, LOC112530666, LOC112533366, LOC771030, LOC107054724, LOC121107411, LOC100859072, LOC101750037, LOC121108550, LOC121109224, LOC121110876, and LOC101749016, as well as DEcircRNAs, such as novel_circ_000158, novel_circ_000623, novel_001518, and novel_circ_003596. The findings from this study provide insight into the mechanisms that regulate lncRNA, circRNA, miRNA, and mRNA expression in chicken melanin deposition.
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Affiliation(s)
- Ruiting Li
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou, 450046, China; Henan Key Laboratory for Innovation and Utilization of Chicken Germplasm Resources, Zhengzhou, 450046, China
| | - DongHua Li
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou, 450046, China; Henan Key Laboratory for Innovation and Utilization of Chicken Germplasm Resources, Zhengzhou, 450046, China.
| | - Shuohui Xu
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou, 450046, China; Henan Key Laboratory for Innovation and Utilization of Chicken Germplasm Resources, Zhengzhou, 450046, China
| | - Pengwei Zhang
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou, 450046, China; Henan Key Laboratory for Innovation and Utilization of Chicken Germplasm Resources, Zhengzhou, 450046, China
| | - Zhiyuan Zhang
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou, 450046, China; Henan Key Laboratory for Innovation and Utilization of Chicken Germplasm Resources, Zhengzhou, 450046, China
| | - Fumin He
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou, 450046, China; Henan Key Laboratory for Innovation and Utilization of Chicken Germplasm Resources, Zhengzhou, 450046, China
| | - Wenting Li
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou, 450046, China; Henan Key Laboratory for Innovation and Utilization of Chicken Germplasm Resources, Zhengzhou, 450046, China; The Shennong Laboratory, Zhengzhou, 450046, China
| | - Guirong Sun
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou, 450046, China; Henan Key Laboratory for Innovation and Utilization of Chicken Germplasm Resources, Zhengzhou, 450046, China; The Shennong Laboratory, Zhengzhou, 450046, China
| | - Ruirui Jiang
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou, 450046, China; Henan Key Laboratory for Innovation and Utilization of Chicken Germplasm Resources, Zhengzhou, 450046, China
| | - Zhuanjian Li
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou, 450046, China; Henan Key Laboratory for Innovation and Utilization of Chicken Germplasm Resources, Zhengzhou, 450046, China
| | - Yadong Tian
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou, 450046, China; Henan Key Laboratory for Innovation and Utilization of Chicken Germplasm Resources, Zhengzhou, 450046, China
| | - Xiaojun Liu
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou, 450046, China; Henan Key Laboratory for Innovation and Utilization of Chicken Germplasm Resources, Zhengzhou, 450046, China
| | - Xiangtao Kang
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou, 450046, China; Henan Key Laboratory for Innovation and Utilization of Chicken Germplasm Resources, Zhengzhou, 450046, China; The Shennong Laboratory, Zhengzhou, 450046, China
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10
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Huang C, Wei Y, Kang Z, Zhang W, Wu Y. Research Note: Transcriptome analysis of skeletal muscles of black-boned chickens, including 2 types (wild and mutated) of Taihe black-boned silky fowl and 1 type (wild) of Yugan black-boned chicken. Poult Sci 2024; 103:103240. [PMID: 38000345 PMCID: PMC10701445 DOI: 10.1016/j.psj.2023.103240] [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: 07/18/2023] [Revised: 10/10/2023] [Accepted: 10/23/2023] [Indexed: 11/26/2023] Open
Abstract
The large amount of melanin deposited in Taihe black-boned silky fowl and other black-boned chicken breeds is a highly valued trait due to its desirable nutritional and functional properties, such as antiaging, immune-enhancing, and antifatigue properties. To identify the candidate genes and pathways potentially responsible for melanogenesis in Taihe black-boned silky fowl, digital gene expression tag (DGE-tag)-based transcriptome analyses were performed for 2 groups: wild-type Taihe black-boned silky fowl (TH-1245) vs. mutated Taihe black-boned silky fowl (BY-1245) and TH-1245 vs. wild-type Yugan black-boned chicken (YG-1245). In total, 430 and 765 differentially expressed genes (DEGs) were identified and 13 DEGs displaying different gene expression patterns between the 2 groups were considered valuable for further investigation, such as ANKRD1, MYOZ2, and MYOD1. Furthermore, 6 functionally grouped networks composed of 36 significant GO terms, mainly involved in muscle-related and signaling-related biological processes, were screened by functional enrichment network analysis. In addition, protein-protein interaction (PPI) network analysis identifies 2 top clusters containing 20 hub genes for 2 comparison groups. MYL1 and RPS14 were considered the most potential candidate genes among all hub genes. The Gene Set Enrichment Analysis (GSEA) results showed that the terms and pathways, such as muscle system process, arachidonic acid metabolism, melanogenesis, and tyrosine metabolism, may play important roles in the melanogenesis and further investigations were needed to clarify the relationships between these pathways and melanin. Overall, these results are helpful for furthering our understanding of melanogenesis in breast muscle of Taihe black-boned silky fowl and Yugan black-boned chicken.
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Affiliation(s)
- Cong Huang
- Institute of Animal Husbandry and Veterinary Medicine, Jiangxi Academy of Agricultural Sciences, Nanchang, Jiangxi 330200, China
| | - Yue Wei
- Institute of Animal Husbandry and Veterinary Medicine, Jiangxi Academy of Agricultural Sciences, Nanchang, Jiangxi 330200, China
| | - Zhaofeng Kang
- Institute of Animal Husbandry and Veterinary Medicine, Jiangxi Academy of Agricultural Sciences, Nanchang, Jiangxi 330200, China
| | - Weihong Zhang
- Institute of Animal Husbandry and Veterinary Medicine, Jiangxi Academy of Agricultural Sciences, Nanchang, Jiangxi 330200, China
| | - Yanping Wu
- Institute of Animal Husbandry and Veterinary Medicine, Jiangxi Academy of Agricultural Sciences, Nanchang, Jiangxi 330200, China.
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11
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Yang K, Zhang J, Zhao Y, Shao Y, Zhai M, Liu H, Zhang L. Whole Genome Resequencing Revealed the Genetic Relationship and Selected Regions among Baicheng-You, Beijing-You, and European-Origin Broilers. BIOLOGY 2023; 12:1397. [PMID: 37997996 PMCID: PMC10669838 DOI: 10.3390/biology12111397] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/30/2023] [Revised: 10/30/2023] [Accepted: 11/01/2023] [Indexed: 11/25/2023]
Abstract
As the only two You-chicken breeds in China, Baicheng-You (BCY) and Beijing-You (BJY) chickens are famous for their good meat quality. However, so far, the molecular basis of germplasm of the two You-chicken breeds is not yet clear. The genetic relationship among BCY, BJY, and European-origin broilers (BRs) was analyzed using whole genome resequencing data to contribute to this issue. A total of 18,852,372 single nucleotide polymorphisms (SNPs) were obtained in this study. After quality control, 8,207,242 SNPs were applied to subsequent analysis. The data indicated that BJY chickens possessed distant distance with BRs (genetic differentiation coefficient (FST) = 0.1681) and BCY (FST = 0.1231), respectively, while BCY and BRs had a closer relationship (FST = 0.0946). In addition, by using FST, cross-population extended haplotype homozygosity (XP-EHH), and cross-population composite likelihood ratio (XP-CLR) methods, we found 374 selected genes between BJY and BRs chickens and 279 selected genes between BCY and BJY chickens, respectively, which contained a number of important candidates or genetic variations associated with feather growth and fat deposition of BJY chickens and potential disease resistance of BCY chickens. Our study demonstrates a genome-wide view of genetic diversity and differentiation among BCY, BJY, and BRs. These results may provide useful information on a molecular basis related to the special characteristics of these broiler breeds, thus enabling us to better understand the formation mechanism of Chinese-You chickens.
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Affiliation(s)
- Kai Yang
- College of Animal Science and Technology, Nanjing Agricultural University, Nanjing 210095, China; (K.Y.); (Y.Z.)
| | - Jian Zhang
- Institute of Animal Husbandry and Veterinary Medicine, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China; (J.Z.); (H.L.)
| | - Yuelei Zhao
- College of Animal Science and Technology, Nanjing Agricultural University, Nanjing 210095, China; (K.Y.); (Y.Z.)
| | - Yonggang Shao
- College of Animal Science, Xinjiang Agricultural University, Urumqi 830052, China; (Y.S.); (M.Z.)
| | - Manjun Zhai
- College of Animal Science, Xinjiang Agricultural University, Urumqi 830052, China; (Y.S.); (M.Z.)
| | - Huagui Liu
- Institute of Animal Husbandry and Veterinary Medicine, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China; (J.Z.); (H.L.)
| | - Lifan Zhang
- College of Animal Science and Technology, Nanjing Agricultural University, Nanjing 210095, China; (K.Y.); (Y.Z.)
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12
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Yakubu A, Bamidele O, Thiruvenkadan AK, Okpeku M, Çelik S. Editorial: Technologies in smallholder poultry development: characterization, utilization, conservation, and improvement. Front Genet 2023; 14:1288181. [PMID: 37779909 PMCID: PMC10534065 DOI: 10.3389/fgene.2023.1288181] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2023] [Accepted: 09/07/2023] [Indexed: 10/03/2023] Open
Affiliation(s)
- Abdulmojeed Yakubu
- Department of Animal Science, Faculty of Agriculture, Centre for Sustainable Agriculture and Rural Development, Nasarawa State University, Keffi, Nigeria
| | - Oladeji Bamidele
- International Livestock Research Institute (ILRI), Ibadan, Nigeria
- Department of Biological Sciences, Kings University, Odeomu, Nigeria
| | | | - Moses Okpeku
- Discipline of Genetics, School of Life Sciences, University of Kwa-Zulu Natal, Durban, South Africa
| | - Senol Çelik
- Department of Animal Science, Faculty of Agriculture, Bingöl University, Bingöl, Türkiye
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13
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Shinde SS, Sharma A, Vijay N. Decoding the fibromelanosis locus complex chromosomal rearrangement of black-bone chicken: genetic differentiation, selective sweeps and protein-coding changes in Kadaknath chicken. Front Genet 2023; 14:1180658. [PMID: 37424723 PMCID: PMC10325862 DOI: 10.3389/fgene.2023.1180658] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Accepted: 06/05/2023] [Indexed: 07/11/2023] Open
Abstract
Black-bone chicken (BBC) meat is popular for its distinctive taste and texture. A complex chromosomal rearrangement at the fibromelanosis (Fm) locus on the 20th chromosome results in increased endothelin-3 (EDN3) gene expression and is responsible for melanin hyperpigmentation in BBC. We use public long-read sequencing data of the Silkie breed to resolve high-confidence haplotypes at the Fm locus spanning both Dup1 and Dup2 regions and establish that the Fm_2 scenario is correct of the three possible scenarios of the complex chromosomal rearrangement. The relationship between Chinese and Korean BBC breeds with Kadaknath native to India is underexplored. Our data from whole-genome re-sequencing establish that all BBC breeds, including Kadaknath, share the complex chromosomal rearrangement junctions at the fibromelanosis (Fm) locus. We also identify two Fm locus proximal regions (∼70 Kb and ∼300 Kb) with signatures of selection unique to Kadaknath. These regions harbor several genes with protein-coding changes, with the bactericidal/permeability-increasing-protein-like gene having two Kadaknath-specific changes within protein domains. Our results indicate that protein-coding changes in the bactericidal/permeability-increasing-protein-like gene hitchhiked with the Fm locus in Kadaknath due to close physical linkage. Identifying this Fm locus proximal selective sweep sheds light on the genetic distinctiveness of Kadaknath compared to other BBC.
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Affiliation(s)
| | | | - Nagarjun Vijay
- Computational Evolutionary Genomics Lab, Department of Biological Sciences, IISER Bhopal, Bhauri, Madhya Pradesh, India
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14
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Sun X, Niu Q, Jiang J, Wang G, Zhou P, Li J, Chen C, Liu L, Xu L, Ren H. Identifying Candidate Genes for Litter Size and Three Morphological Traits in Youzhou Dark Goats Based on Genome-Wide SNP Markers. Genes (Basel) 2023; 14:1183. [PMID: 37372363 DOI: 10.3390/genes14061183] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2023] [Revised: 05/25/2023] [Accepted: 05/25/2023] [Indexed: 06/29/2023] Open
Abstract
This study aimed to reveal the potential genetic basis for litter size, coat colour, black middorsal stripe and skin colour by combining genome-wide association analysis (GWAS) and selection signature analysis and ROH detection within the Youzhou dark (YZD) goat population (n = 206) using the Illumina GoatSNP54 BeadChip. In the GWAS, we identified one SNP (snp54094-scaffold824-899720) on chromosome 11 for litter size, two SNPs on chromosome 26 (snp11508-scaffold142-1990450, SORCS3) and chromosome 12 (snp55048-scaffold842-324525, LOC102187779) for coat colour and one SNP on chromosome 18 (snp56013-scaffold873-22716, TCF25) for the black middorsal stripe. In contrast, no SNPs were identified for skin colour. In selection signature analysis, 295 significant iHS genomic regions with a mean |iHS| score > 2.66, containing selection signatures encompassing 232 candidate genes were detected. In particular, 43 GO terms and one KEGG pathway were significantly enriched in the selected genes, which may contribute to the excellent environmental adaptability and characteristic trait formation during the domestication of YZD goats. In ROH detection, we identified 4446 ROH segments and 282 consensus ROH regions, among which nine common genes overlapped with those detected using the iHS method. Some known candidate genes for economic traits such as reproduction (TSHR, ANGPT4, CENPF, PIBF1, DACH1, DIS3, CHST1, COL4A1, PRKD1 and DNMT3B) and development and growth (TNPO2, IFT80, UCP2, UCP3, GHRHR, SIM1, CCM2L, CTNNA3 and CTNNA1) were revealed by iHS and ROH detection. Overall, this study is limited by the small population size, which affects the results of GWAS to a certain extent. Nevertheless, our findings could provide the first overview of the genetic mechanism underlying these important traits and provide novel insights into the future conservation and utilisation of Chinese goat germplasm resources.
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Affiliation(s)
- Xiaoyan Sun
- Chongqing Academy of Animal Sciences, Rongchang 402460, China
| | - Qunhao Niu
- Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - Jing Jiang
- Chongqing Academy of Animal Sciences, Rongchang 402460, China
| | - Gaofu Wang
- Chongqing Academy of Animal Sciences, Rongchang 402460, China
| | - Peng Zhou
- Chongqing Academy of Animal Sciences, Rongchang 402460, China
| | - Jie Li
- Chongqing Academy of Animal Sciences, Rongchang 402460, China
| | - Cancan Chen
- Chongqing Academy of Animal Sciences, Rongchang 402460, China
| | - Liangjia Liu
- Chongqing Academy of Animal Sciences, Rongchang 402460, China
| | - Lingyang Xu
- Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - Hangxing Ren
- Chongqing Academy of Animal Sciences, Rongchang 402460, China
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15
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Tian S, Tang W, Zhong Z, Wang Z, Xie X, Liu H, Chen F, Liu J, Han Y, Qin Y, Tan Z, Xiao Q. Identification of Runs of Homozygosity Islands and Functional Variants in Wenchang Chicken. Animals (Basel) 2023; 13:ani13101645. [PMID: 37238076 DOI: 10.3390/ani13101645] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2023] [Revised: 05/11/2023] [Accepted: 05/13/2023] [Indexed: 05/28/2023] Open
Abstract
Wenchang chickens, a native breed in the Hainan province of China, are famous for their meat quality and adaptability to tropical conditions. For effective management and conservation, in the present study, we systematically investigated the characteristics of genetic variations and runs of homozygosity (ROH) along the genome using re-sequenced whole-genome sequencing data from 235 Wenchang chickens. A total of 16,511,769 single nucleotide polymorphisms (SNPs) and 53,506 ROH segments were identified in all individuals, and the ROH of Wenchang chicken were mainly composed of short segments (0-1 megabases (Mb)). On average, 5.664% of the genome was located in ROH segments across the Wenchang chicken samples. According to several parameters, the genetic diversity of the Wenchang chicken was relatively high. The average inbreeding coefficient of Wenchang chickens based on FHOM, FGRM, and FROH was 0.060 ± 0.014, 0.561 ± 0.020, and 0.0566 ± 0.01, respectively. A total of 19 ROH islands containing 393 genes were detected on 9 different autosomes. Some of these genes were putatively associated with growth performance (AMY1a), stress resistance (THEMIS2, PIK3C2B), meat traits (MBTPS1, DLK1, and EPS8L2), and fat deposition (LANCL2, PPARγ). These findings provide a better understanding of the degree of inbreeding in Wenchang chickens and the hereditary basis of the characteristics shaped under selection. These results are valuable for the future breeding, conservation, and utilization of Wenchang and other chicken breeds.
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Affiliation(s)
- Shuaishuai Tian
- Hainan Key Laboratory of Tropical Animal Reproduction & Breeding and Epidemic Disease Research, College of Animal Science and Technology, Hainan University, Haikou 570228, China
| | - Wendan Tang
- Hainan Key Laboratory of Tropical Animal Reproduction & Breeding and Epidemic Disease Research, College of Animal Science and Technology, Hainan University, Haikou 570228, China
| | - Ziqi Zhong
- Hainan Key Laboratory of Tropical Animal Reproduction & Breeding and Epidemic Disease Research, College of Animal Science and Technology, Hainan University, Haikou 570228, China
| | - Ziyi Wang
- Hainan Key Laboratory of Tropical Animal Reproduction & Breeding and Epidemic Disease Research, College of Animal Science and Technology, Hainan University, Haikou 570228, China
| | - Xinfeng Xie
- Hainan Key Laboratory of Tropical Animal Reproduction & Breeding and Epidemic Disease Research, College of Animal Science and Technology, Hainan University, Haikou 570228, China
| | - Hong Liu
- Hainan Key Laboratory of Tropical Animal Reproduction & Breeding and Epidemic Disease Research, College of Animal Science and Technology, Hainan University, Haikou 570228, China
| | - Fuwen Chen
- Hainan Key Laboratory of Tropical Animal Reproduction & Breeding and Epidemic Disease Research, College of Animal Science and Technology, Hainan University, Haikou 570228, China
| | - Jiaxin Liu
- Hainan Key Laboratory of Tropical Animal Reproduction & Breeding and Epidemic Disease Research, College of Animal Science and Technology, Hainan University, Haikou 570228, China
| | - Yuxin Han
- Hainan Key Laboratory of Tropical Animal Reproduction & Breeding and Epidemic Disease Research, College of Animal Science and Technology, Hainan University, Haikou 570228, China
| | - Yao Qin
- Hainan Key Laboratory of Tropical Animal Reproduction & Breeding and Epidemic Disease Research, College of Animal Science and Technology, Hainan University, Haikou 570228, China
| | - Zhen Tan
- Hainan Key Laboratory of Tropical Animal Reproduction & Breeding and Epidemic Disease Research, College of Animal Science and Technology, Hainan University, Haikou 570228, China
| | - Qian Xiao
- Hainan Key Laboratory of Tropical Animal Reproduction & Breeding and Epidemic Disease Research, College of Animal Science and Technology, Hainan University, Haikou 570228, China
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16
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Xue Z, Wang L, Tian Y, Yang Y, Li P, Yang G, Lu H, Wang S, Zeng W, Zhang T. A genome-wide scan to identify signatures of selection in Lueyang black -bone chicken. Poult Sci 2023; 102:102721. [PMID: 37186968 DOI: 10.1016/j.psj.2023.102721] [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: 02/07/2023] [Revised: 04/05/2023] [Accepted: 04/10/2023] [Indexed: 05/17/2023] Open
Abstract
Lueyang black-bone chicken is a domestic breed in China. The genetic mechanism of the formation of important economic traits of this breed has not been studied systematically. Therefore, in this study, whole genome resequencing was used to systematically analyze and evaluate the genetic diversity of the black-feather and white-feather populations, and to screen and identify key genes related to phenotypes. The results of principal component analysis and population structure analysis showed that Lueyang black-feathered chickens and white-feathered chickens could be divided into 2 subgroups, and the genetic diversity of black-feathered chicken was richer than that of white-feathered chickens. Linkage disequilibrium analysis also showed that the selection intensity of black-feathered chickens was lower than for white-feathered chickens, which was mainly due to the small population size of white-feathered chickens and a certain degree of inbreeding. Fixation index (FST) analysis revealed that the candidate genes related to feather color traits were G-gamma, FA, FERM, Kelch, TGFb, Arf, FERM, and melanin synthesis-related gene tyrosinase (TYR). Based on Kyoto Encyclopedia of Genes and Genomes enrichment analysis, Jak-STAT, mTOR, and TGF-β signaling pathways were mainly related to melanogenesis and plume color. The findings of this study supported important information for the evaluation and protection of chicken genetic resources and help to analyze the unique genetic phenotypes such as melanin deposition and feather color of Lueyang black-bone chicken. Additionally, it could provide basic research data for the improvement and breeding of Lueyang black-bone chicken with characteristic traits.
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Affiliation(s)
- Zhen Xue
- School of Biological Science and Engineering, Shaanxi University of Technology, Hanzhong 723001, Shaanxi, China
| | - Ling Wang
- School of Biological Science and Engineering, Shaanxi University of Technology, Hanzhong 723001, Shaanxi, China; Engineering Research Center of quality improvement and safety control of Qinba special meat products, Universities of Shaanxi Province, Hanzhong 723001, Shaanxi, China; QinLing-Bashan Mountains Bioresources Comprehensive Development C. I. C., Shaanxi University of Technology, Hanzhong 723001 Shaanxi, China; Shaanxi Union Research Center of University and Enterprise for Zhenba Bacon, Hanzhong 723001, Shaanxi, China
| | - Yingmin Tian
- School of Mathematics and Computer Science, Shaanxi University of Technology, Hanzhong 723001, Shaanxi, China
| | - Yufei Yang
- School of Biological Science and Engineering, Shaanxi University of Technology, Hanzhong 723001, Shaanxi, China
| | - Pan Li
- School of Biological Science and Engineering, Shaanxi University of Technology, Hanzhong 723001, Shaanxi, China
| | - Ge Yang
- School of Biological Science and Engineering, Shaanxi University of Technology, Hanzhong 723001, Shaanxi, China
| | - Hongzhao Lu
- School of Biological Science and Engineering, Shaanxi University of Technology, Hanzhong 723001, Shaanxi, China; Engineering Research Center of quality improvement and safety control of Qinba special meat products, Universities of Shaanxi Province, Hanzhong 723001, Shaanxi, China; Shaanxi Union Research Center of University and Enterprise for Zhenba Bacon, Hanzhong 723001, Shaanxi, China
| | - Shanshan Wang
- School of Biological Science and Engineering, Shaanxi University of Technology, Hanzhong 723001, Shaanxi, China; Engineering Research Center of quality improvement and safety control of Qinba special meat products, Universities of Shaanxi Province, Hanzhong 723001, Shaanxi, China; QinLing-Bashan Mountains Bioresources Comprehensive Development C. I. C., Shaanxi University of Technology, Hanzhong 723001 Shaanxi, China; Shaanxi Union Research Center of University and Enterprise for Zhenba Bacon, Hanzhong 723001, Shaanxi, China
| | - Wenxian Zeng
- School of Biological Science and Engineering, Shaanxi University of Technology, Hanzhong 723001, Shaanxi, China; Engineering Research Center of quality improvement and safety control of Qinba special meat products, Universities of Shaanxi Province, Hanzhong 723001, Shaanxi, China; Qinba State Key Laboratory of Biological Resources and Ecological Environment, Hanzhong 723001, Shaanxi, China
| | - Tao Zhang
- School of Biological Science and Engineering, Shaanxi University of Technology, Hanzhong 723001, Shaanxi, China; Engineering Research Center of quality improvement and safety control of Qinba special meat products, Universities of Shaanxi Province, Hanzhong 723001, Shaanxi, China; QinLing-Bashan Mountains Bioresources Comprehensive Development C. I. C., Shaanxi University of Technology, Hanzhong 723001 Shaanxi, China; Shaanxi Union Research Center of University and Enterprise for Zhenba Bacon, Hanzhong 723001, Shaanxi, China; Qinba State Key Laboratory of Biological Resources and Ecological Environment, Hanzhong 723001, Shaanxi, China.
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17
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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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Karawita AC, Cheng Y, Chew KY, Challagulla A, Kraus R, Mueller RC, Tong MZW, Hulme KD, Bielefeldt-Ohmann H, Steele LE, Wu M, Sng J, Noye E, Bruxner TJ, Au GG, Lowther S, Blommaert J, Suh A, McCauley AJ, Kaur P, Dudchenko O, Aiden E, Fedrigo O, Formenti G, Mountcastle J, Chow W, Martin FJ, Ogeh DN, Thiaud-Nissen F, Howe K, Tracey A, Smith J, Kuo RI, Renfree MB, Kimura T, Sakoda Y, McDougall M, Spencer HG, Pyne M, Tolf C, Waldenström J, Jarvis ED, Baker ML, Burt DW, Short KR. The swan genome and transcriptome, it is not all black and white. Genome Biol 2023; 24:13. [PMID: 36683094 PMCID: PMC9867998 DOI: 10.1186/s13059-022-02838-0] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2022] [Accepted: 12/12/2022] [Indexed: 01/24/2023] Open
Abstract
BACKGROUND The Australian black swan (Cygnus atratus) is an iconic species with contrasting plumage to that of the closely related northern hemisphere white swans. The relative geographic isolation of the black swan may have resulted in a limited immune repertoire and increased susceptibility to infectious diseases, notably infectious diseases from which Australia has been largely shielded. Unlike mallard ducks and the mute swan (Cygnus olor), the black swan is extremely sensitive to highly pathogenic avian influenza. Understanding this susceptibility has been impaired by the absence of any available swan genome and transcriptome information. RESULTS Here, we generate the first chromosome-length black and mute swan genomes annotated with transcriptome data, all using long-read based pipelines generated for vertebrate species. We use these genomes and transcriptomes to show that unlike other wild waterfowl, black swans lack an expanded immune gene repertoire, lack a key viral pattern-recognition receptor in endothelial cells and mount a poorly controlled inflammatory response to highly pathogenic avian influenza. We also implicate genetic differences in SLC45A2 gene in the iconic plumage of the black swan. CONCLUSION Together, these data suggest that the immune system of the black swan is such that should any avian viral infection become established in its native habitat, the black swan would be in a significant peril.
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Affiliation(s)
- Anjana C Karawita
- School of Chemistry and Molecular Biosciences, The University of Queensland, St Lucia, QLD, 4072, Australia
- Commonwealth Scientific and Industrial Research Organisation, Australian Centre for Disease Preparedness, 5 Portarlington Road, Geelong, VIC, 3220, Australia
| | - Yuanyuan Cheng
- School of Life and Environmental Sciences, The University of Sydney, Sydney, NSW, 2006, Australia
| | - Keng Yih Chew
- School of Chemistry and Molecular Biosciences, The University of Queensland, St Lucia, QLD, 4072, Australia
| | - Arjun Challagulla
- Commonwealth Scientific and Industrial Research Organisation, Australian Centre for Disease Preparedness, 5 Portarlington Road, Geelong, VIC, 3220, Australia
| | - Robert Kraus
- Department of Migration, Max Planck Institute of Animal Behavior, Radolfzell, 78315, Germany
- Department of Biology, University of Konstanz, Konstanz, 78457, Germany
| | - Ralf C Mueller
- Department of Migration, Max Planck Institute of Animal Behavior, Radolfzell, 78315, Germany
- Department of Biology, University of Konstanz, Konstanz, 78457, Germany
| | - Marcus Z W Tong
- School of Chemistry and Molecular Biosciences, The University of Queensland, St Lucia, QLD, 4072, Australia
| | - Katina D Hulme
- School of Chemistry and Molecular Biosciences, The University of Queensland, St Lucia, QLD, 4072, Australia
| | - Helle Bielefeldt-Ohmann
- School of Chemistry and Molecular Biosciences, The University of Queensland, St Lucia, QLD, 4072, Australia
| | - Lauren E Steele
- School of Chemistry and Molecular Biosciences, The University of Queensland, St Lucia, QLD, 4072, Australia
| | - Melanie Wu
- School of Chemistry and Molecular Biosciences, The University of Queensland, St Lucia, QLD, 4072, Australia
| | - Julian Sng
- School of Chemistry and Molecular Biosciences, The University of Queensland, St Lucia, QLD, 4072, Australia
| | - Ellesandra Noye
- School of Chemistry and Molecular Biosciences, The University of Queensland, St Lucia, QLD, 4072, Australia
| | - Timothy J Bruxner
- Institute for Molecular Bioscience, The University of Queensland, St Lucia, QLD, 4072, Australia
| | - Gough G Au
- Commonwealth Scientific and Industrial Research Organisation, Australian Centre for Disease Preparedness, 5 Portarlington Road, Geelong, VIC, 3220, Australia
| | - Suzanne Lowther
- Commonwealth Scientific and Industrial Research Organisation, Australian Centre for Disease Preparedness, 5 Portarlington Road, Geelong, VIC, 3220, Australia
| | - Julie Blommaert
- Department of Organismal Biology - Systematic Biology, Evolutionary Biology Centre, Uppsala University, Science for Life Laboratory, Uppsala, 752 36, Sweden
- The New Zealand Institute for Plant & Food Research Ltd, Nelson, 7010, New Zealand
| | - Alexander Suh
- Department of Organismal Biology - Systematic Biology, Evolutionary Biology Centre, Uppsala University, Science for Life Laboratory, Uppsala, 752 36, Sweden
- School of Biological Sciences, University of East Anglia, Norwich Research Park, Norwich, NR4 7TU, UK
| | - Alexander J McCauley
- Commonwealth Scientific and Industrial Research Organisation, Australian Centre for Disease Preparedness, 5 Portarlington Road, Geelong, VIC, 3220, Australia
| | - Parwinder Kaur
- School of Agriculture and Environment, The University of Western Australia, Perth, WA, 6009, Australia
| | - Olga Dudchenko
- The Centre for Genome Architecture, Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, 77030, USA
- Centre for Theoretical Biological Physics and Department of Computer Science, Rice University, Houston, TX, 77030, USA
| | - Erez Aiden
- School of Agriculture and Environment, The University of Western Australia, Perth, WA, 6009, Australia
- The Centre for Genome Architecture, Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, 77030, USA
- Centre for Theoretical Biological Physics and Department of Computer Science, Rice University, Houston, TX, 77030, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, 02139, USA
- Shanghai Institute for Advanced Immunochemical Studies, ShanghaiTech, Pudong, 201210, China
| | - Olivier Fedrigo
- The Vertebrate Genome Laboratory, The Rockefeller University, NY, 10065, USA
| | - Giulio Formenti
- The Vertebrate Genome Laboratory, The Rockefeller University, NY, 10065, USA
| | | | - William Chow
- Tree of Life, Welcome Sanger Institute, Cambridge, CB10 1SA, UK
| | - Fergal J Martin
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, CB10 1SD, UK
| | - Denye N Ogeh
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, CB10 1SD, UK
| | - Françoise Thiaud-Nissen
- National Centre for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA
| | - Kerstin Howe
- Tree of Life, Welcome Sanger Institute, Cambridge, CB10 1SA, UK
| | - Alan Tracey
- Tree of Life, Welcome Sanger Institute, Cambridge, CB10 1SA, UK
| | - Jacqueline Smith
- The Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Easter Bush Campus, Midlothian, EH25 9RG, UK
| | - Richard I Kuo
- The Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Easter Bush Campus, Midlothian, EH25 9RG, UK
| | - Marilyn B Renfree
- School of Biosciences, The University of Melbourne, Melbourne, VIC, 3052, Australia
| | - Takashi Kimura
- Faculty of Veterinary Medicine, Hokkaido University, Sapporo, Hokkaido, 060-0818, Japan
| | - Yoshihiro Sakoda
- Faculty of Veterinary Medicine, Hokkaido University, Sapporo, Hokkaido, 060-0818, Japan
| | - Mathew McDougall
- New Zealand Fish & Game - Eastern Region, Rotorua, 3046, New Zealand
| | - Hamish G Spencer
- Department of Zoology, University of Otago, Dunedin, 9054, New Zealand
| | - Michael Pyne
- Currumbin Wildlife Sanctuary, Currumbin, QLD, 4223, Australia
| | - Conny Tolf
- Centre for Ecology and Evolution in Microbial Model Systems (EEMiS), Linnaeus University, Kalmar, SE-391 82, Sweden
| | - Jonas Waldenström
- Centre for Ecology and Evolution in Microbial Model Systems (EEMiS), Linnaeus University, Kalmar, SE-391 82, Sweden
| | - Erich D Jarvis
- The Vertebrate Genome Laboratory, The Rockefeller University, NY, 10065, USA
| | - Michelle L Baker
- Commonwealth Scientific and Industrial Research Organisation, Australian Centre for Disease Preparedness, 5 Portarlington Road, Geelong, VIC, 3220, Australia
| | - David W Burt
- School of Chemistry and Molecular Biosciences, The University of Queensland, St Lucia, QLD, 4072, Australia
| | - Kirsty R Short
- School of Chemistry and Molecular Biosciences, The University of Queensland, St Lucia, QLD, 4072, Australia.
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19
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Shi H, Fu J, He Y, Li Z, Kang J, Hu C, Zi X, Liu Y, Zhao J, Dou T, Jia J, Duan Y, Wang K, Ge C. Hyperpigmentation Inhibits Early Skeletal Muscle Development in Tengchong Snow Chicken Breed. Genes (Basel) 2022; 13:genes13122253. [PMID: 36553521 PMCID: PMC9778309 DOI: 10.3390/genes13122253] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2022] [Revised: 10/27/2022] [Accepted: 11/25/2022] [Indexed: 12/03/2022] Open
Abstract
Tengchong snow, which has white feathers and black meat, is one of the most important black-bone chicken breeds and a genetic treasure of black food in China. Although the black meat traits are dominant, there are some chickens with white meat traits born in the process of folk selection and breeding. The purpose of this study was to compare the differences in skeletal muscle development between Tengchong snow black meat chickens (BS) and white meat chickens (WS), as well as whether excessive melanin deposition has an effect on skeletal muscle development. The BS and WS groups were selected to determine their muscle development difference at stages of 1, 7, 14, 21, and 42 days, using histological stain methods to analyze the development and composing type of breast and leg muscle fibers, as well as the count of melanin in BS muscle fibers. Finally, we were validated key candidate genes associated with muscle development and melanin synthesis. The results showed that BS breast muscle development was inhibited at 7, 14, and 21 days, while the leg muscle was inhibited at 7, 14, 21, and 42 days, compared to WS. Melanin deposition was present in a temporal migration pattern and was greater in the leg muscles than in the breast muscles, and it focused around blood vessels, as well as the epithelium, perimysium, endomysium, and connective tissue. Additionally, melanin produced an inhibitory effect similar to MSTN during skeletal muscle fiber development, and the inhibition was strongest at the stage of melanin entry between muscle fibers, but the precise mechanisms need to be confirmed. This study revealed that melanin has an inhibitory effect on the early development of skeletal muscle, which will provide new insights into the role of melanin in the black-boned chicken and theoretical references for the future conservation and utilization of black-boned chicken.
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Affiliation(s)
- Hongmei Shi
- College of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China
| | - Jing Fu
- College of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China
| | - Yang He
- College of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China
| | - Zijian Li
- College of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China
| | - Jiajia Kang
- College of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China
| | - Changjie Hu
- College of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China
| | - Xiannian Zi
- College of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China
| | - Yong Liu
- College of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China
| | - Jinbo Zhao
- College of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China
| | - Tengfei Dou
- College of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China
| | - Junjing Jia
- College of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China
| | - Yong Duan
- Kunming Animal Health Supervision, 118 Gulou Road, Kunming 650223, China
| | - Kun Wang
- College of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China
| | - Changrong Ge
- College of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China
- Correspondence:
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20
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Sun J, Chen T, Zhu M, Wang R, Huang Y, Wei Q, Yang M, Liao Y. Whole-genome sequencing revealed genetic diversity and selection of Guangxi indigenous chickens. PLoS One 2022; 17:e0250392. [PMID: 35290380 PMCID: PMC8923445 DOI: 10.1371/journal.pone.0250392] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2021] [Accepted: 02/20/2022] [Indexed: 11/19/2022] Open
Abstract
Guangxi chickens play a crucial role in promoting the high-quality development of the broiler industry in China, but their value and potential are yet to be discovered. To determine the genetic diversity and population structure of Guangxi indigenous chicken, we analyzed the whole genomes of 185 chickens from 8 phenotypically and geographically representative Guangxi chicken breeds, together with 12 RJFt, 12 BRA and 12 WL genomes available from previous studies. Calculation of heterozygosity (Hp), nucleotide diversity (π), and LD level indicated that Guangxi populations were characterized by higher genetic diversity and lower differentiation than RJFt and commercial breeds except for HGFC. Population structure analysis also confirmed the introgression from commercial broiler breeds. Each population clustered together while the overall differentiation was slight. MA has the richest genetic diversity among all varieties. Selective sweep analysis revealed BCO2, EDN3 and other candidate genes had received strong selection in local breeds. These also provided novel breeding visual and data basis for future breeding.
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Affiliation(s)
- Junli Sun
- Guangxi Key Laboratory of Livestock Genetic Improvement, Animal Husbandry Research Institute of Guangxi Zhuang Autonomous Region, Nanning, Guangxi, China
| | - Tao Chen
- BGI Institute of Applied Agriculture, BGI-Shenzhen, Shenzhen, China
| | - Min Zhu
- Guangxi Key Laboratory of Livestock Genetic Improvement, Animal Husbandry Research Institute of Guangxi Zhuang Autonomous Region, Nanning, Guangxi, China
| | - Ran Wang
- BGI Institute of Applied Agriculture, BGI-Shenzhen, Shenzhen, China
| | - Yingfei Huang
- Guangxi Key Laboratory of Livestock Genetic Improvement, Animal Husbandry Research Institute of Guangxi Zhuang Autonomous Region, Nanning, Guangxi, China
| | - Qiang Wei
- BGI Institute of Applied Agriculture, BGI-Shenzhen, Shenzhen, China
| | - Manman Yang
- BGI-Shenzhen, Shenzhen, China
- * E-mail: (MY); (YL)
| | - Yuying Liao
- Guangxi Veterinary Research Institute, Nanning, Guangxi, China
- * E-mail: (MY); (YL)
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21
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Krivoruchko AY, Yatsyk OA, Skokova AV, Kanibolotskaya AA. Genetic Markers of Karachaevsky Sheep Identified by Genome-Wide Association Study. RUSS J GENET+ 2022. [DOI: 10.1134/s1022795422020090] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
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22
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An attempt to valorize the only black meat chicken breed of India by delineating superior functional attributes of its meat. Sci Rep 2022; 12:3555. [PMID: 35241766 PMCID: PMC8894494 DOI: 10.1038/s41598-022-07575-9] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2021] [Accepted: 02/21/2022] [Indexed: 11/23/2022] Open
Abstract
Kadaknath, the only black chicken indigenous to India, faces the threat of extinction due to declining numbers. Its meat is used in tribal medicine for invigorating and health-promoting properties. Expectations of immune-boosting and therapeutic properties in its meat are creating a buzz these days. Thus, Kadaknath meat was explored and further compared with the commercial Cobb 400 broiler (Cobb) for the functional traits that might be contributing towards proclaimed pharmacological benefits. Birds (n = 20/ group) were raised under similar management conditions and the two primal chicken meat cuts (breast and thigh) were collected at the marketing age. Kadaknath meat was found to be an enriched source of functional biomolecules (carnosine, anserine, creatine). Its breast meat carnosine content was more than double of the Cobb broiler, 6.10 ± 0.13 and 2.73 ± 0.1 mg/ g of wet tissue, respectively. Similarly, the thigh meat of Kadaknath was a significantly (P < 0.05) richer source of carnosine. The genetic background was a key determinant for muscle carnosine content as a significant abundance of CARNS1 and SLC36A1 expression was identified in the Kadaknath breast. The superior functional property of Kadaknath meat was established by the antioxidant capacity established by the Oxygen radical absorbance capacity assay and a stronger ability to inhibit the formation of advanced glycation end products (AGEs). The identification of fairly unknown nutritional and functional advantages of Kadaknath meat could potentially change the paradigm with its meat consumption. It will help in developing a brand name for Kadaknath products that will propel an increase in its market share and ultimately conservation of this unique but endangered poultry germplasm.
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23
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Dou T, Yan S, Liu L, Wang K, Jian Z, Xu Z, Zhao J, Wang Q, Sun S, Talpur MZ, Duan X, Gu D, He Y, Du Y, Abdulwahid AM, Li Q, Rong H, Cao W, Su Z, Zhao G, Liu R, Zhao S, Huang Y, Te Pas MFW, Ge C, Jia J. Integrative analysis of transcriptomics and metabolomics to reveal the melanogenesis pathway of muscle and related meat characters in Wuliangshan black-boned chickens. BMC Genomics 2022; 23:173. [PMID: 35236293 PMCID: PMC8892760 DOI: 10.1186/s12864-022-08388-w] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2021] [Accepted: 02/03/2022] [Indexed: 12/02/2022] Open
Abstract
Background Melanin is an important antioxidant in food and has been used in medicine and cosmetology. Chicken meat with high melanin content from black-boned chickens have been considered a high nutritious food with potential medicinal properties. The molecular mechanism of melanogenesis of skeletal muscle in black-boned chickens remain poorly understood. This study investigated the biological gene-metabolite associations regulating the muscle melanogenesis pathways in Wuliangshan black-boned chickens with two normal boned chicken breeds as control. Results We identified 25 differentially expressed genes and 11 transcription factors in the melanogenesis pathways. High levels of the meat flavor compounds inosine monophosphate, hypoxanthine, lysophospholipid, hydroxyoctadecadienoic acid, and nicotinamide mononucleotide were found in Wuliangshan black-boned chickens. Conclusion Integrative analysis of transcriptomics and metabolomics revealed the dual physiological functions of the PDZK1 gene, involved in pigmentation and/or melanogenesis and regulating the phospholipid signaling processes in muscle of black boned chickens. Supplementary Information The online version contains supplementary material available at 10.1186/s12864-022-08388-w.
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Affiliation(s)
- Tengfei Dou
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, 650201, Yunnan Province, People's Republic of China
| | - Shixiong Yan
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, 650201, Yunnan Province, People's Republic of China
| | - Lixian Liu
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, 650201, Yunnan Province, People's Republic of China.,Yunnan Vocational and Technical College of Agriculture, Kunming, 650031, Yunnan Province, People's Republic of China
| | - Kun Wang
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, 650201, Yunnan Province, People's Republic of China
| | - Zonghui Jian
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, 650201, Yunnan Province, People's Republic of China
| | - Zhiqiang Xu
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, 650201, Yunnan Province, People's Republic of China.,College of Food Science, Yunnan Agricultural University, Kunming, 650201, Yunnan Province, People's Republic of China
| | - Jingying Zhao
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, 650201, Yunnan Province, People's Republic of China
| | - Qiuting Wang
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, 650201, Yunnan Province, People's Republic of China
| | - Shuai Sun
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, 650201, Yunnan Province, People's Republic of China
| | - Mir Zulqarnain Talpur
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, 650201, Yunnan Province, People's Republic of China
| | - Xiaohua Duan
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, 650201, Yunnan Province, People's Republic of China.,Yunnan University of Traditional Chinese Medical, Kunming, 650500, Yunnan Province, People's Republic of China
| | - Dahai Gu
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, 650201, Yunnan Province, People's Republic of China.,College of Food Science, Yunnan Agricultural University, Kunming, 650201, Yunnan Province, People's Republic of China
| | - Yang He
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, 650201, Yunnan Province, People's Republic of China
| | - Yanli Du
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, 650201, Yunnan Province, People's Republic of China
| | - Alsoufi Mohammed Abdulwahid
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, 650201, Yunnan Province, People's Republic of China
| | - Qihua Li
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, 650201, Yunnan Province, People's Republic of China
| | - Hua Rong
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, 650201, Yunnan Province, People's Republic of China
| | - Weina Cao
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, 650201, Yunnan Province, People's Republic of China
| | - Zhengchang Su
- Department of Bioinformatics and Genomics, College of Computing and Informatics, the University of North Carolina at Charlotte, Charlotte, NC, 28223, USA
| | - Guiping Zhao
- Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100193, People's Republic of China
| | - Ranran Liu
- Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100193, People's Republic of China
| | - Sumei Zhao
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, 650201, Yunnan Province, People's Republic of China
| | - Ying Huang
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, 650201, Yunnan Province, People's Republic of China
| | - Marinus F W Te Pas
- Wageningen Livestock Research, Wageningen UR, Wageningen, 238050, The Netherlands. .,Visiting Professor Yunnan Agricultural University, Kunming, 650201, Yunnan Province, People's Republic of China.
| | - Changrong Ge
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, 650201, Yunnan Province, People's Republic of China.
| | - Junjing Jia
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, 650201, Yunnan Province, People's Republic of China.
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24
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Zhou X, Liu L, Wang L, Liu T, Wu X. Proteomic study of Chinese black-bone silky fowl and the ring-necked pheasant egg white by iTRAQ technique. Lebensm Wiss Technol 2021. [DOI: 10.1016/j.lwt.2021.111936] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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25
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Wang K, Hu H, Tian Y, Li J, Scheben A, Zhang C, Li Y, Wu J, Yang L, Fan X, Sun G, Li D, Zhang Y, Han R, Jiang R, Huang H, Yan F, Wang Y, Li Z, Li G, Liu X, Li W, Edwards D, Kang X. The chicken pan-genome reveals gene content variation and a promoter region deletion in IGF2BP1 affecting body size. Mol Biol Evol 2021; 38:5066-5081. [PMID: 34329477 PMCID: PMC8557422 DOI: 10.1093/molbev/msab231] [Citation(s) in RCA: 68] [Impact Index Per Article: 22.7] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Domestication and breeding have reshaped the genomic architecture of chicken, but the retention and loss of genomic elements during these evolutionary processes remain unclear. We present the first chicken pan-genome constructed using 664 individuals, which identified an additional ∼66.5 Mb sequences that are absent from the reference genome (GRCg6a). The constructed pan-genome encoded 20,491 predicated protein-coding genes, of which higher expression level are observed in conserved genes relative to dispensable genes. Presence/absence variation (PAV) analyses demonstrated that gene PAV in chicken was shaped by selection, genetic drift, and hybridization. PAV-based GWAS identified numerous candidate mutations related to growth, carcass composition, meat quality, or physiological traits. Among them, a deletion in the promoter region of IGF2BP1 affecting chicken body size is reported, which is supported by functional studies and extra samples. This is the first time to report the causal variant of chicken body size QTL located at chromosome 27 which was repeatedly reported. Therefore, the chicken pan-genome is a useful resource for biological discovery and breeding. It improves our understanding of chicken genome diversity and provides materials to unveil the evolution history of chicken domestication.
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Affiliation(s)
- Kejun Wang
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450046, China.,Henan Key laboratory for innovation and utilization of chicken germplasm resources,Zhengzhou, 450046, China
| | - Haifei Hu
- School of Biological Sciences and Institute of Agriculture, University of Western Australia, Crawley, 6009 WA, Australia
| | - Yadong Tian
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450046, China.,Henan Key laboratory for innovation and utilization of chicken germplasm resources,Zhengzhou, 450046, China
| | - Jingyi Li
- Key Laboratory of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education, College of Animal Science and Technology, Huazhong Agricultural University, 430070 Wuhan, Hubei, China
| | - Armin Scheben
- Simons Center for Quantitative Biology, Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA
| | - Chenxi Zhang
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450046, China.,Henan Key laboratory for innovation and utilization of chicken germplasm resources,Zhengzhou, 450046, China
| | - Yiyi Li
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450046, China.,Henan Key laboratory for innovation and utilization of chicken germplasm resources,Zhengzhou, 450046, China
| | - Junfeng Wu
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450046, China.,Henan Key laboratory for innovation and utilization of chicken germplasm resources,Zhengzhou, 450046, China
| | - Lan Yang
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450046, China.,Henan Key laboratory for innovation and utilization of chicken germplasm resources,Zhengzhou, 450046, China
| | - Xuewei Fan
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450046, China.,Henan Key laboratory for innovation and utilization of chicken germplasm resources,Zhengzhou, 450046, China
| | - Guirong Sun
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450046, China.,Henan Key laboratory for innovation and utilization of chicken germplasm resources,Zhengzhou, 450046, China
| | - Donghua Li
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450046, China.,Henan Key laboratory for innovation and utilization of chicken germplasm resources,Zhengzhou, 450046, China
| | - Yanhua Zhang
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450046, China.,Henan Key laboratory for innovation and utilization of chicken germplasm resources,Zhengzhou, 450046, China
| | - Ruili Han
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450046, China.,Henan Key laboratory for innovation and utilization of chicken germplasm resources,Zhengzhou, 450046, China
| | - Ruirui Jiang
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450046, China.,Henan Key laboratory for innovation and utilization of chicken germplasm resources,Zhengzhou, 450046, China
| | - Hetian Huang
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450046, China.,Henan Key laboratory for innovation and utilization of chicken germplasm resources,Zhengzhou, 450046, China
| | - Fengbin Yan
- Henan Key laboratory for innovation and utilization of chicken germplasm resources,Zhengzhou, 450046, China
| | - Yanbin Wang
- Henan Key laboratory for innovation and utilization of chicken germplasm resources,Zhengzhou, 450046, China
| | - Zhuanjian Li
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450046, China.,Henan Key laboratory for innovation and utilization of chicken germplasm resources,Zhengzhou, 450046, China
| | - Guoxi Li
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450046, China.,Henan Key laboratory for innovation and utilization of chicken germplasm resources,Zhengzhou, 450046, China
| | - Xiaojun Liu
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450046, China.,Henan Key laboratory for innovation and utilization of chicken germplasm resources,Zhengzhou, 450046, China
| | - Wenting Li
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450046, China.,Henan Key laboratory for innovation and utilization of chicken germplasm resources,Zhengzhou, 450046, China
| | - David Edwards
- School of Biological Sciences and Institute of Agriculture, University of Western Australia, Crawley, 6009 WA, Australia
| | - Xiangtao Kang
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450046, China.,Henan Key laboratory for innovation and utilization of chicken germplasm resources,Zhengzhou, 450046, China
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26
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Yang X, Sun J, Zhao G, Li W, Tan X, Zheng M, Feng F, Liu D, Wen J, Liu R. Identification of Major Loci and Candidate Genes for Meat Production-Related Traits in Broilers. Front Genet 2021; 12:645107. [PMID: 33859671 PMCID: PMC8042277 DOI: 10.3389/fgene.2021.645107] [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: 12/22/2020] [Accepted: 03/02/2021] [Indexed: 12/30/2022] Open
Abstract
Background Carcass traits are crucial characteristics of broilers. However, the underlying genetic mechanisms are not well understood. In the current study, significant loci and major-effect candidate genes affecting nine carcass traits related to meat production were analyzed in 873 purebred broilers using an imputation-based genome-wide association study. Results The heritability estimates of nine carcass traits, including carcass weight, thigh muscle weight, and thigh muscle percentage, were moderate to high and ranged from 0.21 to 0.39. Twelve genome-wide significant SNPs and 118 suggestively significant SNPs of 546,656 autosomal variants were associated with carcass traits. All SNPs for six weight traits (body weight at 42 days of age, carcass weight, eviscerated weight, whole thigh weight, thigh weight, and thigh muscle weight) were clustered around the 24.08 Kb region (GGA24: 5.73–5.75 Mb) and contained only one candidate gene (DRD2). The most significant SNP, rs15226023, accounted for 4.85–7.71% of the estimated genetic variance of the six weight traits. The remaining SNPs for carcass composition traits (whole thigh percentage and thigh percentage) were clustered around the 42.52 Kb region (GGA3: 53.03–53.08 Mb) and contained only one candidate gene (ADGRG6). The most significant SNP in this region, rs13571431, accounted for 11.89–13.56% of the estimated genetic variance of two carcass composition traits. Some degree of genetic differentiation in ADGRG6 between large and small breeds was observed. Conclusion We identified one 24.08 Kb region for weight traits and one 42.52 Kb region for thigh-related carcass traits. DRD2 was the major-effect candidate gene for weight traits, and ADGRG6 was the major-effect candidate gene for carcass composition traits. Our results supply essential information for causative mutation identification of carcass traits in broilers.
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Affiliation(s)
- Xinting Yang
- State Key Laboratory of Animal Nutrition, Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Jiahong Sun
- State Key Laboratory of Animal Nutrition, Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Guiping Zhao
- State Key Laboratory of Animal Nutrition, Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Wei Li
- State Key Laboratory of Animal Nutrition, Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Xiaodong Tan
- State Key Laboratory of Animal Nutrition, Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Maiqing Zheng
- State Key Laboratory of Animal Nutrition, Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Furong Feng
- Foshan Gaoming Xinguang Agricultural and Animal Industrials Corporation, Foshan, China
| | - Dawei Liu
- Foshan Gaoming Xinguang Agricultural and Animal Industrials Corporation, Foshan, China
| | - Jie Wen
- State Key Laboratory of Animal Nutrition, Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Ranran Liu
- State Key Laboratory of Animal Nutrition, Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
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27
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Hou H, Wang X, Zhang C, Tu Y, Lv W, Cai X, Xu Z, Yao J, Yang C. Genomic analysis of GBS data reveals genes associated with facial pigmentation in Xinyang blue-shelled layers. Arch Anim Breed 2020; 63:483-491. [PMID: 33473373 PMCID: PMC7810225 DOI: 10.5194/aab-63-483-2020] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2020] [Accepted: 11/02/2020] [Indexed: 12/16/2022] Open
Abstract
Facial pigmentation is an important economic trait of chickens, especially for laying hens, which will affect the carcass appearance of eliminated layers. Therefore, identifying the genomic regions and exploring the function of this region that contributes to understanding the variation of skin color traits is significant for breeding. In the study, 291 pure-line Xinyang blue-shelled laying hens were selected, of which 75 were dark-faced chickens and 216 were white-faced chickens. The population was sequenced and typed by GBS genotyping technology. The obtained high-quality SNPs and pigmentation phenotypes were analyzed by a genome-wide association study (GWAS) and a F ST scan. Based on the two analytical methods, we identified a same genomic region (10.70-11.60 Mb) on chromosome 20 with 68 significant SNPs ( - log 10 ( P ) > 6 ), mapped to 10 known genes, including NPEPL1, EDN3, GNAS, C20orf85, VAPB, BMP7, TUBB1, ELMO2, DDX27, and NCOA5, which are associated with dermal hyperpigmentation.
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Affiliation(s)
- Haobin Hou
- Shanghai Academy of Agricultural Sciences, Shanghai 201106, China.,National Poultry Engineer Research Center, Shanghai 201106, China
| | - Xiaoliang Wang
- Shanghai Academy of Agricultural Sciences, Shanghai 201106, China.,National Poultry Engineer Research Center, Shanghai 201106, China
| | - Caiyun Zhang
- National Poultry Engineer Research Center, Shanghai 201106, China
| | - Yingying Tu
- National Poultry Engineer Research Center, Shanghai 201106, China
| | - Wenwei Lv
- National Poultry Engineer Research Center, Shanghai 201106, China
| | - Xia Cai
- Shanghai Academy of Agricultural Sciences, Shanghai 201106, China.,National Poultry Engineer Research Center, Shanghai 201106, China
| | - Zhigang Xu
- Shanghai Poultry Breeding Co., Ltd., Shanghai 201100, China
| | - Junfeng Yao
- Shanghai Academy of Agricultural Sciences, Shanghai 201106, China.,National Poultry Engineer Research Center, Shanghai 201106, China
| | - Changsuo Yang
- Shanghai Academy of Agricultural Sciences, Shanghai 201106, China.,National Poultry Engineer Research Center, Shanghai 201106, China
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