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Qi S, Wu T, Wu H, Liang Y, Zhao W, Zhang Y, Xu Q, Chen G. Whole-genome resequencing reveals the population structure and domestication processes of endemic endangered goose breeds (Anser cygnoides). Poult Sci 2025; 104:105004. [PMID: 40088535 PMCID: PMC11957519 DOI: 10.1016/j.psj.2025.105004] [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: 01/02/2025] [Revised: 03/03/2025] [Accepted: 03/06/2025] [Indexed: 03/17/2025] Open
Abstract
In recent years, the dwindling population of these endangered geese has hindered our understanding of their phenotypic variations and the genes associated with important traits. To investigate the population structure and genetic diversity of this breed, the whole-genome data of 90 individuals from a conservation farm were obtained using the Illumina 6000 paired-end platform. The research results indicate that each locally endangered goose variety has formed a monophyletic population. The Baizi (BZ), Lingxian White (LX), and Xupu (XP) geese exhibiting higher genetic diversity than the other goose breeds. Tree-Mix analysis revealed the presence of five gene flows events between goose populations, with Yangjiang (YJ) geese consistently exhibiting significant genetic distance from the other breeds. Under strong pressures from the natural environment and artificial selection, whole-genome selective scanning revealed 394 overlapping genes. Gene Ontology (GO) enrichment analysis of the putative candidate genes (PCGs) revealed significant enrichment of 20 terms (P < 0.05). Similarly, Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis revealed significant enrichment of PCGs in 23 terms (P < 0.05). Examination of overlapping genes identified through at least two selection methods revealed a set of genes associated with key traits, including growth and development (CCND1, DES, CCNO, SMC5, and NUBP1), immunity (ABCA2, ABCC8, UHRF2, and ABCA1), and body aging (KAT6B). Our findings provide insights into the genetic basis of endangered geese at the whole-genome level, laying the foundation for future molecular research on genetic variation and phenotypic changes. In summary, our results provide invaluable resources for delineating the uniqueness of endangered goose breeds.
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Affiliation(s)
- Shangzong Qi
- College of Animal Science and Technology, Yangzhou University, Yangzhou, Jiangsu Province 225009, PR China
| | - Teng Wu
- College of Animal Science and Technology, Yangzhou University, Yangzhou, Jiangsu Province 225009, PR China
| | - Hao Wu
- College of Animal Science and Technology, Yangzhou University, Yangzhou, Jiangsu Province 225009, PR China
| | - Yu Liang
- College of Animal Science and Technology, Yangzhou University, Yangzhou, Jiangsu Province 225009, PR China
| | - Wenming Zhao
- College of Animal Science and Technology, Yangzhou University, Yangzhou, Jiangsu Province 225009, PR China
| | - Yang Zhang
- College of Animal Science and Technology, Yangzhou University, Yangzhou, Jiangsu Province 225009, PR China; Key Laboratory for Evaluation and Utilization of Livestock and Poultry Resources (Poultry), Ministry of Agriculture and Rural Affairs, PR China.
| | - Qi Xu
- College of Animal Science and Technology, Yangzhou University, Yangzhou, Jiangsu Province 225009, PR China; Joint International Research Laboratory of Agriculture and Agri-Product Safety of the Ministry of Education of China, Yangzhou University, Yangzhou, Jiangsu Province, 225009, PR China; Key Laboratory for Evaluation and Utilization of Livestock and Poultry Resources (Poultry), Ministry of Agriculture and Rural Affairs, PR China
| | - Guohong Chen
- College of Animal Science and Technology, Yangzhou University, Yangzhou, Jiangsu Province 225009, PR China; Joint International Research Laboratory of Agriculture and Agri-Product Safety of the Ministry of Education of China, Yangzhou University, Yangzhou, Jiangsu Province, 225009, PR China; Key Laboratory for Evaluation and Utilization of Livestock and Poultry Resources (Poultry), Ministry of Agriculture and Rural Affairs, PR China
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Zhang X, Wu L, Gu L, Jiang Q, He Z, Qi Y, Zheng X, Xu T. Dietary areca nut extract supplementation modulates the growth performance and immunity of Jiaji ducks (Cairina moschata). Poult Sci 2025; 104:104971. [PMID: 40101514 PMCID: PMC11960628 DOI: 10.1016/j.psj.2025.104971] [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: 11/21/2024] [Revised: 02/21/2025] [Accepted: 02/28/2025] [Indexed: 03/20/2025] Open
Abstract
Areca nut extract (ANE) has a variety of pharmacological effects on animals. Here, we investigated the influence of ANE on the slaughter performance and immune function of Jiaji ducks. One hundred and fifty 42-day-old healthy Jiaji ducks were randomly divided into 2 groups (5 replicates of 15 ducks each), named DCK group (control) and DNT group (treatment), respectively. Ducks in the DCK group were fed a basal diet and ducks in the DNT group were fed a basal food supplemented with 0.08 g ANE per kg of basal diet. Additionally, using proteomics, untargeted metabolomics, and metagenomics, we analyzed the impact of ANE on the protein profile of the spleen, the composition of plasma metabolites, and the structure of the cecal microbiota. The results showed that the dietary inclusion of ANE significantly increased the slaughter rate of Jiaji ducks. Proteomic analysis revealed 78 differentially expressed proteins in the spleens of ANE-treated birds, including 54 proteins up-regulated and 24 proteins down-regulated in the DNT group, mainly enriched in cell adhesion molecules and glutathione metabolic pathways. Untargeted metabolomic analysis revealed that 117 serum metabolites were differentially regulated between the ANE and DCK groups; meanwhile, KEGG pathway analysis indicated that these metabolites were mainly involved in arachidonic acid metabolism, phospholipase D signaling pathway and eicosanoids. Furthermore, a metagenomic analysis showed that the genus Methanobrevibacter was significantly downregulated in the ANE supplementation group. Combined, the results of the metagenomic and metabolomic analyses showed that the relative abundance of Prevotella was significantly lower in the ANE group than in the DCK group and that Prevotella was negatively correlated with the levels of the anti-inflammatory compound hydrocinnamic acid and the lipid metabolism regulator ganoderic acid A. This study provides a reference for the application of ANE as a supplement in the diet of Jiaji ducks.
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Affiliation(s)
- Xiaohui Zhang
- College of Animal Science and Technology, Henan University of Science and Technology, 263 Kaiyuan Avenue, Luoyang, Henan 471003, China.
| | - Lehuan Wu
- College of Animal Science and Technology, Henan University of Science and Technology, 263 Kaiyuan Avenue, Luoyang, Henan 471003, China
| | - Lihong Gu
- Hainan Academy of Agricultural Sciences, Institute of Animal Husbandry and Veterinary Medicine, Haikou, Hainan 571100, China
| | - Qicheng Jiang
- Hainan Academy of Agricultural Sciences, Institute of Animal Husbandry and Veterinary Medicine, Haikou, Hainan 571100, China
| | - Zhongchun He
- Hainan Academy of Agricultural Sciences, Institute of Animal Husbandry and Veterinary Medicine, Haikou, Hainan 571100, China
| | - Yanxia Qi
- College of Animal Science and Technology, Henan University of Science and Technology, 263 Kaiyuan Avenue, Luoyang, Henan 471003, China
| | - Xinli Zheng
- Hainan Academy of Agricultural Sciences, Institute of Animal Husbandry and Veterinary Medicine, Haikou, Hainan 571100, China
| | - Tieshan Xu
- Chinese Academy of Tropical Agricultural Sciences, Institute of Tropical Crop Varieties Resources, Haikou, Hainan 571101, China
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Xu T, Xu Z, Bai D, Wu F, Shang Y, Li M, Rong G, Gu L. Development and application of a cGPS 20K liquid-phase SNP microarray in Jiaji ducks. Poult Sci 2025; 104:104737. [PMID: 39729728 PMCID: PMC11742303 DOI: 10.1016/j.psj.2024.104737] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2024] [Revised: 12/18/2024] [Accepted: 12/24/2024] [Indexed: 12/29/2024] Open
Abstract
In order to provide a low-cost, high efficient, and highly accurate tool for molecular breeding of Jiaji ducks, we constructed a cGPS(Genotyping by Pinpoint Sequencing of captured targets) 20 K liquid-phase microarray using resequencing data from this valuable poultry breed for the first time. The microarray contains 20,327 high-quality snp loci, mainly from the 30 Jiaji duck resequencing samples collected in this study, and some loci were supplemented from the 135 duck resequencing data from KUNMING INSTITUTE OF ZOOLOGY.CAS. This microarray showed excellent performance in two production tests. The microarray was used to genotype a population of 236 Jiaji ducks, and the genotyping data were then used for population structure analysis and genome-wide association studies (GWAS) of plumage color phenotypes. According to the population structure analysis, the population of Jiaji ducks could be divided into four subpopulations using genetic distance matrices. Using GWAS analysis, 38 significant SNP loci were identified within a region on chromosome 14 that contained 30 genes. Among them, EDNRB2 and VAMP7 were identified as strong candidate genes for the regulation of plumage color in Jiaji ducks. Two mutations upstream of EDNRB2 were identified as tightly linked to the colorless phenotype. In addition, two KASP markers were designed for the SNP loci associated with EDNRB2 (HIC_SCAFFOLD_14_14984620, HIC_SCAFFOLD_14_15016766). The KASP genotyping results showed strong correlations between different genotypes on the SNP locus HIC_SCAFFOLD_14_15016766 and the plumage phenotype. In conclusion, this independently designed microarray will be useful for large-scale genotyping and can lay the foundation for future screening of mutation loci and functional genes.
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Affiliation(s)
- Tieshan Xu
- Tropical Crops Genetic Resources Institute, Chinese Academy of Tropical Agricultural Sciences, Hainan, Haikou 571100, PR China
| | - Zixin Xu
- Tropical Crops Genetic Resources Institute, Chinese Academy of Tropical Agricultural Sciences, Hainan, Haikou 571100, PR China; Key Laboratory of Traditional Chinese Veterinary Medicine and Animal Health in Fujian Province, College of Animal Sciences, Fujian Agriculture and Forestry University, Fujian, Fuzhou 350002, PR China
| | - Dingping Bai
- Key Laboratory of Traditional Chinese Veterinary Medicine and Animal Health in Fujian Province, College of Animal Sciences, Fujian Agriculture and Forestry University, Fujian, Fuzhou 350002, PR China
| | - Fanghu Wu
- Tropical Crops Genetic Resources Institute, Chinese Academy of Tropical Agricultural Sciences, Hainan, Haikou 571100, PR China; College of Animal Science, Henan University of Science and Technology, Henan, Luoyang 471900, PR China
| | - Yuanyuan Shang
- Tropical Crops Genetic Resources Institute, Chinese Academy of Tropical Agricultural Sciences, Hainan, Haikou 571100, PR China; College of Animal Science, Henan University of Science and Technology, Henan, Luoyang 471900, PR China
| | - Mao Li
- Tropical Crops Genetic Resources Institute, Chinese Academy of Tropical Agricultural Sciences, Hainan, Haikou 571100, PR China
| | - Guang Rong
- Tropical Crops Genetic Resources Institute, Chinese Academy of Tropical Agricultural Sciences, Hainan, Haikou 571100, PR China
| | - Lihong Gu
- Institute of Animal Science and Veterinary Medicine, Hainan Academy of Agricultural Sciences, Hainan, Haikou 571101, PR China.
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Lin R, Li H, Lai L, Yang F, Qiu J, Lin W, Bao X, Pan C, Lin W, Jiang X. Analysis of genetic structure and identification of important genes associated with muscle growth in Fujian Muscovy duck. Poult Sci 2024; 103:104445. [PMID: 39504826 PMCID: PMC11570716 DOI: 10.1016/j.psj.2024.104445] [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: 07/03/2024] [Revised: 10/02/2024] [Accepted: 10/25/2024] [Indexed: 11/08/2024] Open
Abstract
Fujian Muscovy duck is a well-known meat waterfowl in Fujian Province due to its high meat production, superior breeding potential, and strong resistance. To fully explore the genetic characteristics of these advantages, Fujian black Muscovy duck and white Muscovy duck were used for whole-genome re-sequencing and transcriptome analyses. Population structure analysis showed significant differentiation between the two feather strains. Runs of homozygosity analysis indicated a stronger artificial influence on the black-feathered strain, with ROH island genes notably enriched in muscle tissue-related terms and pathways. Selective sweep and transcriptome analysis revealed a significant enrichment of genes linked to muscle tissue and muscle fiber-related terms and pathways. Key candidate genes identified, such as MEF2C, MYOZ2, and METTL21C, are believed to play crucial roles in meat production in Fujian Muscovy duck. This study offers a new perspective on improving meat production in Fujian Muscovy duck, which can benefit breeding strategies and production management.
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Affiliation(s)
- Ruiyi Lin
- College of Animal Sciences, Fujian Agriculture and Forestry University, Fuzhou, Fujian, China, 350002
| | - Huihuang Li
- College of Animal Sciences, Fujian Agriculture and Forestry University, Fuzhou, Fujian, China, 350002
| | - Lianjie Lai
- College of Animal Sciences, Fujian Agriculture and Forestry University, Fuzhou, Fujian, China, 350002
| | - Fan Yang
- College of Animal Sciences, Fujian Agriculture and Forestry University, Fuzhou, Fujian, China, 350002
| | - Jialing Qiu
- General Animal husbandry Station of Fujian Province, Fuzhou, Fujian, China, 350003
| | - Weilong Lin
- College of Animal Sciences, Fujian Agriculture and Forestry University, Fuzhou, Fujian, China, 350002
| | - Xinguo Bao
- College of Animal Sciences, Fujian Agriculture and Forestry University, Fuzhou, Fujian, China, 350002
| | - Chengfu Pan
- College of Animal Sciences, Fujian Agriculture and Forestry University, Fuzhou, Fujian, China, 350002
| | - Weimin Lin
- College of Animal Sciences, Fujian Agriculture and Forestry University, Fuzhou, Fujian, China, 350002
| | - Xiaobing Jiang
- General Animal husbandry Station of Fujian Province, Fuzhou, Fujian, China, 350003.
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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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Whole-genome sequencing identifies potential candidate genes for egg production traits in laying ducks (Anas platyrhynchos). Sci Rep 2023; 13:1821. [PMID: 36726023 PMCID: PMC9892591 DOI: 10.1038/s41598-022-21237-w] [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: 12/23/2021] [Accepted: 09/26/2022] [Indexed: 02/03/2023] Open
Abstract
Egg production traits are economically important in laying ducks. Genetic molecular mechanisms and candidate genes underlying these traits remain unclear. In this study, whole genome variants were identified through whole-genome resequencing using three high-egg producing (HEN) and three low-egg producing (LEN) laying ducks. The gene ontology (GO) terms and Kyoto Encyclopedia of Genes and Genome (KEGG) pathways for the genes of common differential variants between HEN and LEN ducks were determined. Frizzled class receptor 6 (FZD6) was further genotyped using the Sequenom MassARRAY iPLEX platform. The association of FZD6 gene polymorphisms with 73 egg production and weight traits in 329 female ducks were estimated. A total of 65,535 single nucleotide polymorphisms (SNPs) and 4,702 indels were identified across the genome. Fourteen GO terms and 14 KEGG pathways were determined for the genes of common differential variants, including MAPK signaling, Wnt signaling, melanogenesis and calcium signaling pathways, which are key functional pathways for poultry egg production reported in previous reports. Further analysis showed that 27 SNPs of FZD6 were associated with three early egg production of duck and egg weight traits, including egg production at 17 weeks (EP17), 18 weeks (EP18) and 19 weeks (EP19) and egg weight at 59 weeks (EW59). The FZD6 should be considered a novel candidate gene for egg production traits in laying ducks.
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Bello SF, Adeola AC, Nie Q. The study of candidate genes in the improvement of egg production in ducks – a review. Poult Sci 2022; 101:101850. [PMID: 35544958 PMCID: PMC9108513 DOI: 10.1016/j.psj.2022.101850] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2021] [Revised: 03/05/2022] [Accepted: 03/08/2022] [Indexed: 11/01/2022] Open
Abstract
Duck is the second-largest poultry species aside from chicken. The rate of egg production is a major determinant of the economic income of poultry farmers. Among the reproductive organs, the ovary is a major part of the female reproductive system which is highly important for egg production. Based on the importance of this organ, several studies have been carried out to identify candidate genes at the transcriptome level, and also the expression level of these genes at different tissues or egg-laying conditions, and single nucleotide polymorphism (SNPs) of genes associated with egg production in duck. In this review, expression profile and association study analyses at SNPs level of different candidate genes with egg production traits of duck were highlighted. Furthermore, different studies on transcriptome analysis, Quantitative Trait Loci (QTL) mapping, and Genome Wide Association Study (GWAS) approach used to identify potential candidate genes for egg production in ducks were reported. This review would widen our knowledge on molecular markers that are associated or have a positive correlation to improving egg production in ducks, for the increasing world populace.
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Ji F, Gu L, Rong G, Hu C, Sun W, Wang D, Peng W, Lin D, Liu Q, Wu H, Dai H, Zhou H, Xu T. Using Extract From the Stems and Leaves of Yizhi (Alpiniae oxyphyllae) as Feed Additive Increases Meat Quality and Intestinal Health in Ducks. Front Vet Sci 2022; 8:793698. [PMID: 35174238 PMCID: PMC8841826 DOI: 10.3389/fvets.2021.793698] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2021] [Accepted: 12/20/2021] [Indexed: 11/13/2022] Open
Abstract
Yizhi (Alpiniae Oxyphyllae, A. oxyphylla) has been widely used as an important traditional Chinese medicinal herb for centuries. Existing studies have shown that A. oxyphylla has numerous benefits in human and animal health. We hypothesized that extract from the stems and leaves of A. oxyphylla (AOE) as a feed additive may have positive effects on animal health and products. Thus, this study was conducted to evaluate the effects of AOE as a feed additive on growth performance, serum biochemical parameters, intestinal morphology, microbial composition, and meat quality in Jiaji ducks. A total of 240 Jiaji ducks of 42 days old (1675.8 ± 44.2 g, male: female ratio = 1:1) were blocked based on body weight and randomly allocated into four dietary treatments with three replicates that each had 20 duck individuals. The dietary treatments included: basal diet, control group (CK); basal diet supplementation with 30 mg/kg (Y1), 80 mg/kg (Y2), and 130 mg/kg (Y3) AOE, respectively, and lasted for 49 days. The results showed that average daily feed intake from day 42 to day 60 was decreased with the increasing level of AOE (P < 0.05). Compared with the CK group, the groups with AOE supplementation decreased serum LDL-C level (P < 0.05), the addition of 30 mg/kg AOE increased total amino acids, essential amino acids, branched-chain amino acids, nonessential amino acids, and umami taste amino acids (P < 0.05), but decreased selenium and zinc concentrations in breast muscle (P < 0.05). In addition, the supplementation of 30 or 130 mg/kg AOE significantly increased jejunal villus height (P < 0.05) and tended to increase the ratio of villus height to crypt depth in the jejunum (P = 0.092) compared to the CK group. Moreover, the addition of 30 mg/kg AOE showed a higher abundance of genus unclassified Bacteroidales and genus unclassified Ruminococcaceae than the CK group (P < 0.05). Therefore, dietary supplementation with 30 mg/kg AOE increased meat nutrition profile and flavor through promoting amino acid contents in breast muscle, as well as maintained intestine integrity and modulated the microbial composition. In conclusion, AOE as an antibiotic alternative displayed potential in maintaining intestinal health and improving meat quality.
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Affiliation(s)
- Fengjie Ji
- Tropical Crops Genetic Resources Research Institute, Chinese Academy of Tropical Agricultural Sciences, Haikou, China
| | - Lihong Gu
- Institute of Animal Science and Veterinary Medicine, Hainan Academy of Agricultural Sciences, Haikou, China
| | - Guang Rong
- Tropical Crops Genetic Resources Research Institute, Chinese Academy of Tropical Agricultural Sciences, Haikou, China
| | - Chengjun Hu
- Tropical Crops Genetic Resources Research Institute, Chinese Academy of Tropical Agricultural Sciences, Haikou, China
| | - Weiping Sun
- Tropical Crops Genetic Resources Research Institute, Chinese Academy of Tropical Agricultural Sciences, Haikou, China
| | - Dingfa Wang
- Tropical Crops Genetic Resources Research Institute, Chinese Academy of Tropical Agricultural Sciences, Haikou, China
| | - Weiqi Peng
- Tropical Crops Genetic Resources Research Institute, Chinese Academy of Tropical Agricultural Sciences, Haikou, China
| | - Dajie Lin
- Institute of Animal Science and Veterinary Medicine, Hainan Academy of Agricultural Sciences, Haikou, China
| | - Quanwei Liu
- Institute of Animal Science and Veterinary Medicine, Hainan Academy of Agricultural Sciences, Haikou, China
| | - Hongzhi Wu
- Tropical Crops Genetic Resources Research Institute, Chinese Academy of Tropical Agricultural Sciences, Haikou, China
| | - Haofu Dai
- Institute of Tropical Bioscience and Biotechnology, Chinese Academy of Tropical Agricultural Sciences, Haikou, China
- *Correspondence: Haofu Dai
| | - Hanlin Zhou
- Tropical Crops Genetic Resources Research Institute, Chinese Academy of Tropical Agricultural Sciences, Haikou, China
- Hanlin Zhou
| | - Tieshan Xu
- Tropical Crops Genetic Resources Research Institute, Chinese Academy of Tropical Agricultural Sciences, Haikou, China
- Tieshan Xu
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Jiang F, Jiang Y, Wang W, Xiao C, Lin R, Xie T, Sung WK, Li S, Jakovlić I, Chen J, Du X. A chromosome-level genome assembly of Cairina moschata and comparative genomic analyses. BMC Genomics 2021; 22:581. [PMID: 34330207 PMCID: PMC8325232 DOI: 10.1186/s12864-021-07897-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2021] [Accepted: 07/08/2021] [Indexed: 02/08/2023] Open
Abstract
Background The Muscovy duck (Cairina moschata) is an economically important duck species, with favourable growth and carcass composition parameters in comparison to other ducks. However, limited genomic resources for Muscovy duck hinder our understanding of its evolution and genetic diversity. Results We combined linked-reads sequencing technology and reference-guided methods for de novo genome assembly. The final draft assembly was 1.12 Gbp with 29 autosomes, one sex chromosome and 4,583 unlocalized scaffolds with an N50 size of 77.35 Mb. Based on universal single-copy orthologues (BUSCO), the draft genome assembly completeness was estimated to be 93.30 %. Genome annotation identified 15,580 genes, with 15,537 (99.72 %) genes annotated in public databases. We conducted comparative genomic analyses and found that species-specific and rapidly expanding gene families (compared to other birds) in Muscovy duck are mainly involved in Calcium signaling, Adrenergic signaling in cardiomyocytes, and GnRH signaling pathways. In comparison to the common domestic duck (Anas platyrhynchos), we identified 104 genes exhibiting strong signals of adaptive evolution (Ka/Ks > 1). Most of these genes were associated with immune defence pathways (e.g. IFNAR1 and TLR5). This is indicative of the existence of differences in the immune responses between the two species. Additionally, we combined divergence and polymorphism data to demonstrate the “faster-Z effect” of chromosome evolution. Conclusions The chromosome-level genome assembly of Muscovy duck and comparative genomic analyses provide valuable resources for future molecular ecology studies, as well as the evolutionary arms race between the host and influenza viruses. Supplementary Information The online version contains supplementary material available at 10.1186/s12864-021-07897-4.
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Affiliation(s)
- Fan Jiang
- Hubei Key Laboratory of Agricultural Bioinformatics, College of Informatics, Huazhong Agricultural University, 430070, Wuhan, People's Republic of China.,Key Lab of Agricultural Animal Genetics, Breeding and Reproduction, Ministry of Education, College of Animal Science and Technology, Huazhong Agricultural University, 430070, Wuhan, People's Republic of China
| | - Yaoxin Jiang
- Hubei Key Laboratory of Agricultural Bioinformatics, College of Informatics, Huazhong Agricultural University, 430070, Wuhan, People's Republic of China
| | - Wenxuan Wang
- Hubei Key Laboratory of Agricultural Bioinformatics, College of Informatics, Huazhong Agricultural University, 430070, Wuhan, People's Republic of China
| | - Changyi Xiao
- Hubei Key Laboratory of Agricultural Bioinformatics, College of Informatics, Huazhong Agricultural University, 430070, Wuhan, People's Republic of China
| | - Ruiyi Lin
- College of Animal Science, Fujian Agriculture and Forestry University, 350002, Fuzhou, China
| | - Tanghui Xie
- Hubei Key Laboratory of Agricultural Bioinformatics, College of Informatics, Huazhong Agricultural University, 430070, Wuhan, People's Republic of China
| | - Wing-Kin Sung
- Hubei Key Laboratory of Agricultural Bioinformatics, College of Informatics, Huazhong Agricultural University, 430070, Wuhan, People's Republic of China.,Department of Computer Science, National University of Singapore, Singapore, Singapore
| | - Shijun Li
- Key Lab of Agricultural Animal Genetics, Breeding and Reproduction, Ministry of Education, College of Animal Science and Technology, Huazhong Agricultural University, 430070, Wuhan, People's Republic of China.,Joint International Research Laboratory of Modern Agricultural Technology, Ministry of Education, Jilin Agricultural University, 130118, Changchun, China
| | - Ivan Jakovlić
- State Key Laboratory of Grassland Agro-Ecosystem, Institute of Innovation Ecology, Lanzhou University, 730000, Lanzhou, China.
| | - Jianhai Chen
- Institutes for Systems Genetics, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Sichuan University, Sichuan, Chengdu, China.
| | - Xiaoyong Du
- Hubei Key Laboratory of Agricultural Bioinformatics, College of Informatics, Huazhong Agricultural University, 430070, Wuhan, People's Republic of China. .,Key Lab of Agricultural Animal Genetics, Breeding and Reproduction, Ministry of Education, College of Animal Science and Technology, Huazhong Agricultural University, 430070, Wuhan, People's Republic of China.
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10
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Wang R, Sun J, Han H, Huang Y, Chen T, Yang M, Wei Q, Wan H, Liao Y. Whole-genome resequencing reveals genetic characteristics of different duck breeds from the Guangxi region in China. G3-GENES GENOMES GENETICS 2021; 11:6156632. [PMID: 33677537 PMCID: PMC8759808 DOI: 10.1093/g3journal/jkab054] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/26/2020] [Accepted: 02/17/2021] [Indexed: 11/15/2022]
Abstract
Distinctive indigenous duck (Anas platyrhynchos) populations of Guangxi, China, evolved due to the geographical, cultural, and environmental variability of this region. To investigate the genetic diversity and population structure of the indigenous ducks of Guangxi, 78 individuals from eight populations were collected and sequenced by whole-genome resequencing with an average depth of ∼9.40×. The eight indigenous duck populations included four breeds and four resource populations. Moreover, the genome data of 47 individuals from two typical meat-type breeds and two native egg-type breeds were obtained from a public database. Calculation of heterozygosity, nucleotide diversity (π), Tajima’s D, and FST indicated that the Guangxi populations were characterized by higher genetic diversity and lower differentiation than meat-type breeds. The highest diversity was observed in the Xilin-Ma ducks. Principal component, structure, and phylogenetic tree analyses revealed the relationship between the indigenous duck populations of Guangxi. A mild degree of differentiation was observed among the Guangxi populations, although three populations were closer to the meat or egg breeds. Indigenous populations are famous for their special flavor, small body size, and slow growth rates. Selective sweep analysis revealed the candidate genes and pathways associated with these growth traits. Our findings provide a valuable source of information regarding genetic diversity, population conservation, and genome-associated breeding of ducks.
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Affiliation(s)
- Ran Wang
- BGI Institute of Applied Agriculture, BGI-Shenzhen, Shenzhen, Guangdong 518120, China.,ShenZhen Engineering Laboratory for Genomics-Assisted Animal Breeding, BGI-Shenzhen, Shenzhen, Guangdong 518083, China
| | - Junli Sun
- Guangxi Key Laboratory of Livestock Genetic Improvement, Animal Husbandry Research Institute of Guangxi Zhuang Autonomous Region, Nanning, Guangxi 530001, China
| | - Hu Han
- BGI Institute of Applied Agriculture, BGI-Shenzhen, Shenzhen, Guangdong 518120, China.,ShenZhen Engineering Laboratory for Genomics-Assisted Animal Breeding, BGI-Shenzhen, Shenzhen, Guangdong 518083, China
| | - Yingfei Huang
- Guangxi Key Laboratory of Livestock Genetic Improvement, Animal Husbandry Research Institute of Guangxi Zhuang Autonomous Region, Nanning, Guangxi 530001, China
| | - Tao Chen
- BGI Institute of Applied Agriculture, BGI-Shenzhen, Shenzhen, Guangdong 518120, China.,ShenZhen Engineering Laboratory for Genomics-Assisted Animal Breeding, BGI-Shenzhen, Shenzhen, Guangdong 518083, China
| | - Manman Yang
- BGI Institute of Applied Agriculture, BGI-Shenzhen, Shenzhen, Guangdong 518120, China.,ShenZhen Engineering Laboratory for Genomics-Assisted Animal Breeding, BGI-Shenzhen, Shenzhen, Guangdong 518083, China
| | - Qiang Wei
- BGI Institute of Applied Agriculture, BGI-Shenzhen, Shenzhen, Guangdong 518120, China.,ShenZhen Engineering Laboratory for Genomics-Assisted Animal Breeding, BGI-Shenzhen, Shenzhen, Guangdong 518083, China
| | - Huofu Wan
- Guangxi Key Laboratory of Livestock Genetic Improvement, Animal Husbandry Research Institute of Guangxi Zhuang Autonomous Region, Nanning, Guangxi 530001, China
| | - Yuying Liao
- Guangxi Key Laboratory of Livestock Genetic Improvement, Animal Husbandry Research Institute of Guangxi Zhuang Autonomous Region, Nanning, Guangxi 530001, China.,Guangxi Veterinary Research Institute, Nanning, Guangxi 530001, China
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11
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Monroe JG, McKay JK, Weigel D, Flood PJ. The population genomics of adaptive loss of function. Heredity (Edinb) 2021; 126:383-395. [PMID: 33574599 PMCID: PMC7878030 DOI: 10.1038/s41437-021-00403-2] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2020] [Revised: 12/28/2020] [Accepted: 01/01/2021] [Indexed: 12/23/2022] Open
Abstract
Discoveries of adaptive gene knockouts and widespread losses of complete genes have in recent years led to a major rethink of the early view that loss-of-function alleles are almost always deleterious. Today, surveys of population genomic diversity are revealing extensive loss-of-function and gene content variation, yet the adaptive significance of much of this variation remains unknown. Here we examine the evolutionary dynamics of adaptive loss of function through the lens of population genomics and consider the challenges and opportunities of studying adaptive loss-of-function alleles using population genetics models. We discuss how the theoretically expected existence of allelic heterogeneity, defined as multiple functionally analogous mutations at the same locus, has proven consistent with empirical evidence and why this impedes both the detection of selection and causal relationships with phenotypes. We then review technical progress towards new functionally explicit population genomic tools and genotype-phenotype methods to overcome these limitations. More broadly, we discuss how the challenges of studying adaptive loss of function highlight the value of classifying genomic variation in a way consistent with the functional concept of an allele from classical population genetics.
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Affiliation(s)
- J Grey Monroe
- Department of Molecular Biology, Max Planck Institute for Developmental Biology, 72076, Tübingen, Germany.
- Department of Plant Sciences, University of California Davis, Davis, CA, 95616, USA.
| | - John K McKay
- College of Agriculture, Colorado State University, Fort Collins, CO, 80523, USA
| | - Detlef Weigel
- Department of Molecular Biology, Max Planck Institute for Developmental Biology, 72076, Tübingen, Germany
| | - Pádraic J Flood
- Department of Plant Developmental Biology, Max Planck Institute for Plant Breeding Research, 50829, Cologne, Germany
- Department of Plant Breeding, Wageningen University, Wageningen, The Netherlands
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12
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Liu H, Zhu C, Song W, Xu W, Tao Z, Zhang S, Li H. Genomic characteristics of four different geese populations in China. Anim Genet 2021; 52:228-231. [PMID: 33450105 DOI: 10.1111/age.13035] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/18/2020] [Indexed: 11/28/2022]
Abstract
It is well known that many Chinese goose breeds differ substantially in economic performance, but the genetic changes involved are still poorly understood. This study sequenced 35 individuals from four goose breeds namely Shitou, Zhedong White, Taihu, and Zi with an average sequencing depth of 10× for each individual. Among these populations, SNPs were identified, which clustered the individuals into four distinct genetic groups in accordance with the four breeds. Genomic comparisons among the four goose breeds revealed many candidate genes, as well as pathways that may be associated with meat yield in Shitou geese and laying traits in Zi geese. These findings will enable a better understanding of the artificial selection history of Chinese local geese and provide a valuable resource for future research on the breeding of geese for the economic traits of meat and egg production.
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Affiliation(s)
- H Liu
- Jiangsu Institute of Poultry Sciences, Yangzhou, Jiangsu, 225125, China
| | - C Zhu
- Jiangsu Institute of Poultry Sciences, Yangzhou, Jiangsu, 225125, China
| | - W Song
- Jiangsu Institute of Poultry Sciences, Yangzhou, Jiangsu, 225125, China
| | - W Xu
- Jiangsu Institute of Poultry Sciences, Yangzhou, Jiangsu, 225125, China
| | - Z Tao
- Jiangsu Institute of Poultry Sciences, Yangzhou, Jiangsu, 225125, China
| | - S Zhang
- Jiangsu Institute of Poultry Sciences, Yangzhou, Jiangsu, 225125, China
| | - H Li
- Jiangsu Institute of Poultry Sciences, Yangzhou, Jiangsu, 225125, China
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