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Wang Y, Wang S, Mabrouk I, Zhou Y, Fu X, Song Y, Ma J, Hu X, Yang Z, Liu F, Hou J, Yu J, Sun Y. In ovo injection of AZD6244 suppresses feather follicle development by the inhibition of ERK and Wnt/β-catenin pathways in goose embryos ( Anser cygnoides). Br Poult Sci 2024; 65:307-314. [PMID: 38393940 DOI: 10.1080/00071668.2024.2309550] [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: 09/28/2023] [Accepted: 01/05/2024] [Indexed: 02/25/2024]
Abstract
1. Feathers are an important product from poultry, and the state of feather growth and development plays an important role in their economic value.2. In total, 120 eggs were selected for immunoblotting and immunolocalisation experiments of ERK and β-catenin proteins in different developmental stages of goose embryos. The ERK protein was highly expressed in the early stage of goose embryo development, while β-catenin protein was highly expressed in the middle stage of embryo development.3. The 120 eggs were divided into four treatment groups, including an uninjected group (BLANK), a group injected with 100 µl of cosolvent (CK), a group injected with 100 µl of AZD6244 containing cosolvent in a dose of 5 mg/kg AZD6244 containing cosolvent (AZD5) and a group injected with 100 µl of AZD6244 containing cosolvent in a dose of 15 mg/kg AZD6244 containing cosolvent (AZD15). The eggs were injected on the ninth day of embryonic development (E9). Samples were collected at E21.5 to observe feather width, feather follicle diameter, ERK and Wnt/β-catenin pathway protein expression.4. The AZD5 and AZD15 doses were within the embryonic safety range compared to the BLANK and CK groups and had no significant effect on the survival rate and weight at the inflection point, but significantly reduced the feather width and feather follicle diameter (p < 0.05). The AZD6244 treatment inhibited ERK protein phosphorylation levels and blocked the Wnt/β-catenin pathway, which in turn significantly down-regulated the expression levels of FZD4, β-catenin, TCF4 and LEF1 (p < 0.05), with an inhibitory effect in the AZD15 group being more significant. The immunohistochemical results of β-catenin and p-ERK were consistent with Western blot results.5. The small molecule inhibitor AZD6244 regulated the growth and development of feather follicles in goose embryos by the ERK and Wnt/β-catenin pathways.
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Affiliation(s)
- Y Wang
- College of Animal Science and Technology, Jilin Agricultural University, Changchun, China
| | - S Wang
- College of Animal Science and Technology, Jilin Agricultural University, Changchun, China
| | - I Mabrouk
- College of Animal Science and Technology, Jilin Agricultural University, Changchun, China
| | - Y Zhou
- College of Animal Science and Technology, Jilin Agricultural University, Changchun, China
| | - X Fu
- College of Animal Science and Technology, Jilin Agricultural University, Changchun, China
| | - Y Song
- College of Animal Science and Technology, Jilin Agricultural University, Changchun, China
| | - J Ma
- College of Animal Science and Technology, Jilin Agricultural University, Changchun, China
| | - X Hu
- College of Animal Science and Technology, Jilin Agricultural University, Changchun, China
| | - Z Yang
- College of Animal Science and Technology, Jilin Agricultural University, Changchun, China
| | - F Liu
- College of Animal Science and Technology, Jilin Agricultural University, Changchun, China
| | - J Hou
- College of Animal Science and Technology, Jilin Agricultural University, Changchun, China
| | - J Yu
- College of Animal Science and Technology, Jilin Agricultural University, Changchun, China
| | - Y Sun
- College of Animal Science and Technology, Jilin Agricultural University, Changchun, China
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Ji G, Zhang M, Tu Y, Liu Y, Shan Y, Ju X, Zou J, Shu J, Sheng Z, Li H. Molecular Regulatory Mechanisms in Chicken Feather Follicle Morphogenesis. Genes (Basel) 2023; 14:1646. [PMID: 37628697 PMCID: PMC10454116 DOI: 10.3390/genes14081646] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2023] [Revised: 08/10/2023] [Accepted: 08/16/2023] [Indexed: 08/27/2023] Open
Abstract
In China, the sale of freshly slaughtered chickens is becoming increasingly popular in comparison with that of live chickens, and due to this emerging trend, the skin and feather follicle traits of yellow-feathered broilers have attracted a great deal of research attention. The feather follicle originates from the interaction between the epidermis and dermis in the early embryonic stage. Feather follicle morphogenesis is regulated by the Wnt, ectodysplasin (Eda), epidermal growth factor (EGF), fibroblast growth factor (FGF), bone morphogenetic protein (BMP), sonic hedgehog (Shh), Notch, and other signaling pathways that exist in epithelial and mesenchymal cells. The Wnt pathway is essential for feather follicle and feather morphogenesis. Eda interacts with Wnt to induce FGF expression, which attracts mesenchymal cell movement and aggregates to form feather follicle primordia. BMP acts as an inhibitor of the above signaling pathways to limit the size of the feather tract and distance between neighboring feather primordia in a dose-dependent manner. The Notch/Delta pathway can interact with the FGF pathway to promote feather bud formation. While not a part of the early morphogenesis of feather follicles, Shh and BMP signaling are involved in late feather branching. This review summarizes the roles of miRNAs/lncRNA in the regulation of feather follicle and feather growth and development and suggests topics that need to be solved in a future study. This review focuses on the regulatory mechanisms involved in feather follicle morphogenesis and analyzes the impact of SNP sites on feather follicle traits in poultry. This work may help us to understand the molecular regulatory networks influencing feather follicle growth and provide basic data for poultry carcass quality.
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Affiliation(s)
- Gaige Ji
- Key Laboratory for Poultry Genetics and Breeding of Jiangsu Province, Chinese Academy of Agricultural Science, Institute of Poultry Science, Yangzhou 225125, China
| | - Ming Zhang
- Key Laboratory for Poultry Genetics and Breeding of Jiangsu Province, Chinese Academy of Agricultural Science, Institute of Poultry Science, Yangzhou 225125, China
| | - Yunjie Tu
- Key Laboratory for Poultry Genetics and Breeding of Jiangsu Province, Chinese Academy of Agricultural Science, Institute of Poultry Science, Yangzhou 225125, China
| | - Yifan Liu
- Key Laboratory for Poultry Genetics and Breeding of Jiangsu Province, Chinese Academy of Agricultural Science, Institute of Poultry Science, Yangzhou 225125, China
| | - Yanju Shan
- Key Laboratory for Poultry Genetics and Breeding of Jiangsu Province, Chinese Academy of Agricultural Science, Institute of Poultry Science, Yangzhou 225125, China
| | - Xiaojun Ju
- Key Laboratory for Poultry Genetics and Breeding of Jiangsu Province, Chinese Academy of Agricultural Science, Institute of Poultry Science, Yangzhou 225125, China
| | - Jianmin Zou
- Key Laboratory for Poultry Genetics and Breeding of Jiangsu Province, Chinese Academy of Agricultural Science, Institute of Poultry Science, Yangzhou 225125, China
| | - Jingting Shu
- Key Laboratory for Poultry Genetics and Breeding of Jiangsu Province, Chinese Academy of Agricultural Science, Institute of Poultry Science, Yangzhou 225125, China
| | - Zhongwei Sheng
- Key Laboratory for Poultry Genetics and Breeding of Jiangsu Province, Chinese Academy of Agricultural Science, Institute of Poultry Science, Yangzhou 225125, China
| | - Hua Li
- School of Life Science and Engineering, Foshan University, Foshan 528231, China
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Wang Y, Fu X, Wang S, Mabrouk I, Zhou Y, Song Y, Liu T, Ma J, Zhuang F, Zhang X, Xu K, Sun Y. Nonlinear model fitting analysis of feather growth and development curves in the embryonic stages of Jilin white geese (Anser cygnoides). J Anim Sci 2023; 101:skac373. [PMID: 36371804 PMCID: PMC9833012 DOI: 10.1093/jas/skac373] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2022] [Accepted: 11/10/2022] [Indexed: 11/15/2022] Open
Abstract
Poultry is subject to varying degrees of feather loss and feather pecking during production, which seriously affects the live appearance and carcass appearance of their commercial traits and greatly reduces the production profitability of the farming enterprise. It also has an impact on down production and quality in the case of geese. In this study, mathematical models (Logistic, Gompertz, and Von Bertalanffy) were used to assess feather growth and development during the embryonic period in Jilin white geese (Anser cygnoides) predicting the weight and length of feathers from the back, chest, and belly tracts at different embryonic ages, to determine which growth model more accurately described feather growth patterns. The result first showed that the primary feather follicles of the Jilin white goose developed at E14 and secondary feather follicles at E18; primary feather follicle density increased and then decreased, whereas secondary feather follicle density increased continuously and the primary and secondary feather follicles developed independently. Secondly, the embryonic feather growth followed a slow-fast-slow pattern, with feathers growing slowly from E12 to E18, quickly from E18 to E24, and then decreasing after E24 until just before emergence (E30). In addition, before E14, feathers were concentrated in the back tracts, and no feathers were found on the head, neck, chest, abdomen, or wings. By E22, the whole body of the embryo was covered with feathers, and the back feathers were the earliest and fastest to develop. Compared to the Gompertz and von Bertalanffy models, the logistic model fit (R2 = 0.997) was the highest, while the sum of residual squares (RSS = 25661.67), Akaike's information criterion (AIC = 77.600), Bayesian information criterion (BIC = 78.191), and mean square error (MSE = 2851.296) were the lowest. Therefore, the logistic model was more suitable for describing the changes in whole-body feather growth during the embryonic period in Jilin white geese. In conclusion, using the growth curve model to explain the relationship between feather growth and embryonic age in geese will potentially speed up the process of genetic improvement in Jilin white geese (A. cygnoides) and thus provide scientific support for molecular genetic breeding.
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Affiliation(s)
- Yudong Wang
- Key Laboratory of Animal Production, Product Quality and Security, Jilin Agricultural University, Ministry of Education, Changchun 130118, China
| | - Xianou Fu
- Key Laboratory of Animal Production, Product Quality and Security, Jilin Agricultural University, Ministry of Education, Changchun 130118, China
| | - Sihui Wang
- Key Laboratory of Animal Production, Product Quality and Security, Jilin Agricultural University, Ministry of Education, Changchun 130118, China
| | - Ichraf Mabrouk
- Key Laboratory of Animal Production, Product Quality and Security, Jilin Agricultural University, Ministry of Education, Changchun 130118, China
| | - Yuxuan Zhou
- Key Laboratory of Animal Production, Product Quality and Security, Jilin Agricultural University, Ministry of Education, Changchun 130118, China
| | - Yupu Song
- Key Laboratory of Animal Production, Product Quality and Security, Jilin Agricultural University, Ministry of Education, Changchun 130118, China
| | - Tuoya Liu
- Key Laboratory of Animal Production, Product Quality and Security, Jilin Agricultural University, Ministry of Education, Changchun 130118, China
| | - Jingyun Ma
- Key Laboratory of Animal Production, Product Quality and Security, Jilin Agricultural University, Ministry of Education, Changchun 130118, China
| | - Fangming Zhuang
- Key Laboratory of Animal Production, Product Quality and Security, Jilin Agricultural University, Ministry of Education, Changchun 130118, China
| | - Xue Zhang
- Key Laboratory of Animal Production, Product Quality and Security, Jilin Agricultural University, Ministry of Education, Changchun 130118, China
| | - Keyi Xu
- Key Laboratory of Animal Production, Product Quality and Security, Jilin Agricultural University, Ministry of Education, Changchun 130118, China
| | - Yongfeng Sun
- Key Laboratory of Animal Production, Product Quality and Security, Jilin Agricultural University, Ministry of Education, Changchun 130118, China
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Sun Y, Wu Q, Lin R, Chen H, Zhang M, Jiang B, Wang Y, Xue P, Gan Q, Shen Y, Chen F, Liu J, Zhou C, Lan S, Pan H, Deng F, Yue W, Lu L, Jiang X, Li Y. Genome-wide association study for the primary feather color trait in a native Chinese duck. Front Genet 2023; 14:1065033. [PMID: 36936414 PMCID: PMC10020179 DOI: 10.3389/fgene.2023.1065033] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2022] [Accepted: 02/23/2023] [Indexed: 03/06/2023] Open
Abstract
Background: To reveal candidate genes and the molecular genetic mechanism underlying primary feather color trait in ducks, a genome-wide association study (GWAS) for the primary feather color trait was performed based on the genotyping-by-sequencing (GBS) technology for a native Chinese female duck, Longyan Shan-ma ducks. Methods: Blood genomic DNA from 314 female Longyan Shan-ma duck were genotyped using GBS technology. A GWAS for the primary feather color trait with genome variations was performed using an univariate linear mixed model based on all SNPs in autosomes. Results: Seven genome-wide significant single nucleotide polymorphisms (SNPs, Bonferroni-adjusted p-value <8.03 × 10-7) within the introns of the genes STARD9, ZNF106, SLC7A5, and BANP genes were associated with the primary feather color trait. Twenty-two genome-wide suggestive SNPs (Bonferroni-adjusted p-value <1.61 × 10-5) of 17 genes (besides ZNF106 and SLC7A5) were also identified. Seven SNPs were located at one 0.22 Mb region (38.65-38.87 Mb) on chromosome 5, and six SNPs were located at one 0.31 Mb region (19.53-19.84 Mb) on chromosome 11. The functions of STARD9, SLC7A5, BANP, LOC101798015, and IPMK were involved pigmentation and follicle development, especially, STARD9 upregulated expression in black feather (haplotype-CCCC) bulb tissue compared with in pockmarked feather (haplotype-TGTT) bulb tissue, implicating these genes as candidate genes for primary feather color trait. Conclusion: The preliminarily findings suggested candidate genes and regions, and the genetic basis of primary feather color trait in a female duck.
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Affiliation(s)
- Yanfa Sun
- College of Life Sciences, Longyan University, Longyan, Fujian, China
- Fujian Provincial Key Laboratory for the Prevention and Control of Animal Infectious Diseases and Biotechnology, Longyan, Fujian, China
- Fujian Provincial Universities Key Laboratory of Preventive Veterinary Medicine and Biotechnology (Longyan University), Longyan, Fujian, China
| | - Qiong Wu
- College of Life Sciences, Longyan University, Longyan, Fujian, China
- Fujian Provincial Key Laboratory for the Prevention and Control of Animal Infectious Diseases and Biotechnology, Longyan, Fujian, China
- Fujian Provincial Universities Key Laboratory of Preventive Veterinary Medicine and Biotechnology (Longyan University), Longyan, Fujian, China
| | - Rulong Lin
- Longyan Shan-ma Duck Original Breeding Farm, Agricultural Bureau of Xinluo District, Longyan, Fujian, China
| | - Hongping Chen
- Longyan Shan-ma Duck Original Breeding Farm, Agricultural Bureau of Xinluo District, Longyan, Fujian, China
| | - Min Zhang
- College of Life Sciences, Longyan University, Longyan, Fujian, China
- Fujian Provincial Key Laboratory for the Prevention and Control of Animal Infectious Diseases and Biotechnology, Longyan, Fujian, China
- Fujian Provincial Universities Key Laboratory of Preventive Veterinary Medicine and Biotechnology (Longyan University), Longyan, Fujian, China
| | - Bingbing Jiang
- Institute of Animal Science and Veterinary, Zhejiang Academy of Agricultural Sciences, Hangzhou, China
| | - Yaru Wang
- College of Life Sciences, Longyan University, Longyan, Fujian, China
| | - Pengfei Xue
- College of Life Sciences, Longyan University, Longyan, Fujian, China
| | - Qiuyun Gan
- College of Life Sciences, Longyan University, Longyan, Fujian, China
| | - Yue Shen
- College of Life Sciences, Longyan University, Longyan, Fujian, China
| | - Feifan Chen
- College of Life Sciences, Longyan University, Longyan, Fujian, China
| | - Jiantao Liu
- College of Life Sciences, Longyan University, Longyan, Fujian, China
| | - Chenxin Zhou
- College of Life Sciences, Longyan University, Longyan, Fujian, China
| | - Shishi Lan
- College of Life Sciences, Longyan University, Longyan, Fujian, China
| | - Haozhe Pan
- College of Life Sciences, Longyan University, Longyan, Fujian, China
| | - Fan Deng
- College of Life Sciences, Longyan University, Longyan, Fujian, China
| | - Wen Yue
- Longyan Shan-ma Duck Original Breeding Farm, Agricultural Bureau of Xinluo District, Longyan, Fujian, China
| | - Lizhi Lu
- Institute of Animal Science and Veterinary, Zhejiang Academy of Agricultural Sciences, Hangzhou, China
| | - Xiaobing Jiang
- Fujian Provincial Animal Husbandry Headquarters, Fuzhou, Fujian, China
- *Correspondence: Xiaobing Jiang, ; Yan Li,
| | - Yan Li
- College of Life Sciences, Longyan University, Longyan, Fujian, China
- Fujian Provincial Key Laboratory for the Prevention and Control of Animal Infectious Diseases and Biotechnology, Longyan, Fujian, China
- Fujian Provincial Universities Key Laboratory of Preventive Veterinary Medicine and Biotechnology (Longyan University), Longyan, Fujian, China
- *Correspondence: Xiaobing Jiang, ; Yan Li,
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5
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Liu Z, Liu Z, Mu Q, Zhao M, Cai T, Xie Y, Zhao C, Qin Q, Zhang C, Xu X, Lan M, Zhang Y, Su R, Wang Z, Wang R, Wang Z, Li J, Zhao Y. Identification of key pathways and genes that regulate cashmere development in cashmere goats mediated by exogenous melatonin. Front Vet Sci 2022; 9:993773. [PMID: 36246326 PMCID: PMC9558121 DOI: 10.3389/fvets.2022.993773] [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: 07/14/2022] [Accepted: 09/12/2022] [Indexed: 11/13/2022] Open
Abstract
The growth of secondary hair follicles in cashmere goats follows a seasonal cycle. Melatonin can regulate the cycle of cashmere growth. In this study, melatonin was implanted into live cashmere goats. After skin samples were collected, transcriptome sequencing and histological section observation were performed, and weighted gene co-expression network analysis (WGCNA) was used to identify key genes and establish an interaction network. A total of 14 co-expression modules were defined by WGCNA, and combined with previous analysis results, it was found that the blue module was related to the cycle of cashmere growth after melatonin implantation. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis showed that the first initiation of exogenous melatonin-mediated cashmere development was related mainly to the signaling pathway regulating stem cell pluripotency and to the Hippo, TGF-beta and MAPK signaling pathways. Via combined differential gene expression analyses, 6 hub genes were identified: PDGFRA, WNT5A, PPP2R1A, BMPR2, BMPR1A, and SMAD1. This study provides a foundation for further research on the mechanism by which melatonin regulates cashmere growth.
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Affiliation(s)
- Zhihong Liu
- College of Animal Science, Inner Mongolia Agricultural University, Hohhot, China
- Key Laboratory of Animal Genetics, Breeding and Reproduction, Inner Mongolia Agricultural University, Hohhot, China
- Key Laboratory of Mutton Sheep Genetics and Breeding, Ministry of Agriculture, Hohhot, China
- Goat Genetics and Breeding Engineering Technology Research Center, Inner Mongolia Agricultural University, Hohhot, China
| | - Zhichen Liu
- College of Animal Science, Inner Mongolia Agricultural University, Hohhot, China
| | - Qing Mu
- College of Animal Science, Inner Mongolia Agricultural University, Hohhot, China
| | - Meng Zhao
- Inner Mongolia Autonomous Region Agriculture and Animal Husbandry Technology Extension Center, Hohhot, China
| | - Ting Cai
- Inner Mongolia Academy of Agricultural and Animal Husbandry Sciences, Hohhot, China
| | - Yuchun Xie
- Hebei Normal University of Science and Technology, Qinhuangdao, China
| | - Cun Zhao
- College of Animal Science, Inner Mongolia Agricultural University, Hohhot, China
| | - Qing Qin
- College of Animal Science, Inner Mongolia Agricultural University, Hohhot, China
| | - Chongyan Zhang
- College of Animal Science, Inner Mongolia Agricultural University, Hohhot, China
| | - Xiaolong Xu
- College of Animal Science, Inner Mongolia Agricultural University, Hohhot, China
| | - Mingxi Lan
- College of Animal Science, Inner Mongolia Agricultural University, Hohhot, China
| | - Yanjun Zhang
- College of Animal Science, Inner Mongolia Agricultural University, Hohhot, China
| | - Rui Su
- College of Animal Science, Inner Mongolia Agricultural University, Hohhot, China
| | - Zhiying Wang
- College of Animal Science, Inner Mongolia Agricultural University, Hohhot, China
| | - Ruijun Wang
- College of Animal Science, Inner Mongolia Agricultural University, Hohhot, China
| | - Zhixin Wang
- College of Animal Science, Inner Mongolia Agricultural University, Hohhot, China
| | - Jinquan Li
- College of Animal Science, Inner Mongolia Agricultural University, Hohhot, China
- Key Laboratory of Animal Genetics, Breeding and Reproduction, Inner Mongolia Agricultural University, Hohhot, China
- Key Laboratory of Mutton Sheep Genetics and Breeding, Ministry of Agriculture, Hohhot, China
- Goat Genetics and Breeding Engineering Technology Research Center, Inner Mongolia Agricultural University, Hohhot, China
| | - Yanhong Zhao
- College of Animal Science, Inner Mongolia Agricultural University, Hohhot, China
- Key Laboratory of Animal Genetics, Breeding and Reproduction, Inner Mongolia Agricultural University, Hohhot, China
- Key Laboratory of Mutton Sheep Genetics and Breeding, Ministry of Agriculture, Hohhot, China
- Goat Genetics and Breeding Engineering Technology Research Center, Inner Mongolia Agricultural University, Hohhot, China
- *Correspondence: Yanhong Zhao
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Li S, Yang G, Chu J, Wang J, Liu A, Mou C. Revealing the impacts on shaping scutate scales in goose skin. Gene 2022; 844:146840. [PMID: 36031017 DOI: 10.1016/j.gene.2022.146840] [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: 10/18/2021] [Revised: 07/30/2022] [Accepted: 08/22/2022] [Indexed: 11/04/2022]
Abstract
Feather follicles and scales are two types of skin appendages distributed on different parts of avian skin. The morphogenesis and development of scales in waterfowl remain largely unknown. Here, we used H&E staining, ISH and RNA sequencing to reveal the morphological and molecular variations at the early development of scutate scales in goose shank skin. Transcriptome analysis produced 1824 differentially expressed genes (DEGs) regulating the induction of scales and further enriched gene function in cell adhesion and Wnt signaling pathway, etc. A total of 8 candidate genes (ALDOC, CSRP2, KRT15, KRT75, LGALS1, S100A6, OGN and SFRP2) were further detected by RT-qPCR to show upregulated (6 genes) and downregulated (2 genes) from pre-placodal to placode stage during the induction of goose scales. The localization of 7 candidate genes (ALDOC, CSRP2, CD109, KRT15, KRT75, S100A6, and OGN) by ISH suggests the potential roles for dermal and epidermal development during the induction of scutate scales. The dynamic molecular changes and specific gene expression patterns revealed in this report provide general knowledge of scale development in waterfowl as well as skin appendage diversity.
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Affiliation(s)
- Shaomei Li
- Key Laboratory of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan 430000, China
| | - Ge Yang
- Key Laboratory of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan 430000, China
| | - Jinyu Chu
- Key Laboratory of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan 430000, China
| | - Jian Wang
- Jiangsu Agri-animal Husbandry Vocational College, Taizhou 215300, China
| | - Anfang Liu
- College of Animal Science and Technology, Southwest University, Chongqing 402460, China
| | - Chunyan Mou
- College of Animal Science and Technology, Southwest University, Chongqing 402460, China
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Mabrouk I, Zhou Y, Wang S, Song Y, Fu X, Xu X, Liu T, Wang Y, Feng Z, Fu J, Ma J, Zhuang F, Cao H, Jin H, Wang J, Sun Y. Transcriptional Characteristics Showed That miR-144-y/FOXO3 Participates in Embryonic Skin and Feather Follicle Development in Zhedong White Goose. Animals (Basel) 2022; 12:ani12162099. [PMID: 36009690 PMCID: PMC9405214 DOI: 10.3390/ani12162099] [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: 07/05/2022] [Revised: 08/08/2022] [Accepted: 08/15/2022] [Indexed: 11/20/2022] Open
Abstract
Simple Summary Feather is one of the most valuable and economical products in goose farming and plays a crucial physiological role in birds. For avian biology and the poultry industry, it is essential to comprehend and regulate how skin and feather follicles develop during embryogenesis. This study showed that several key regulatory genes (FOXO3, CTGF, and PTCH1, among others) and miRNAs (miR-144-y) participated in the developmental process of the skin and feather follicles in Zhedong white goose. Our findings are particularly important because they will serve as a valuable resource for upcoming studies on down feathers in agricultural economic growth regarding complex molecular mechanisms and breeding techniques. Abstract Skin and feather follicle development are essential processes for goose embryonic growth. Transcriptome and next-generation sequencing (NGS) network analyses were performed to improve the genome of Zhedong White goose and discover the critical genes, miRNAs, and pathways involved in goose skin and feather follicle morphogenesis. Sequencing output generated 6,002,591,668 to 8,675,720,319 clean reads from fifteen libraries. There were 1234, 3024, 4416, and 5326 different genes showing differential expression in four stages, E10 vs. E13, E10 vs. E18, E10 vs. E23, and E10 vs. E28, respectively. The differentially expressed genes (DEGs) were found to be implicated in multiple biological processes and pathways associated with feather growth and development, such as the Wnt signaling pathway, cell adhesion molecules, ECM–receptor interaction signaling pathways, and cell cycle and DNA replication pathways, according to functional analysis. In total, 8276 DEGs were assembled into twenty gene profiles with diverse expression patterns. The reliability of transcriptome results was verified by real-time quantitative PCR by selecting seven DEGs and five miRNAs. The localization of forkhead box O3 (FOXO3), connective tissue growth factor (CTGF), protein parched homolog1 (PTCH1), and miR-144-y by in situ hybridization showed spatial-temporal expression patterns and that FOXO3 and miR-144-y have an antagonistic targeting relationship. The correlation coefficient of FOXO3 and miR-144-y was -0.948, showing a strong negative correlation. Dual-luciferase reporter assay results demonstrated that miR-144-y could bind to the expected location to suppress the expression of FOXO3, which supports that there is a targeting relationship between them. The detections in this report will provide critical insight into the complex molecular mechanisms and breeding practices underlying the developmental characteristics of skin and feather follicles in Zhedong white geese.
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Affiliation(s)
- Ichraf Mabrouk
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science and Technology, Jilin Agricultural University, Changchun 130118, China
| | - Yuxuan Zhou
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science and Technology, Jilin Agricultural University, Changchun 130118, China
| | - Sihui Wang
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science and Technology, Jilin Agricultural University, Changchun 130118, China
| | - Yupu Song
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science and Technology, Jilin Agricultural University, Changchun 130118, China
| | - Xianou Fu
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science and Technology, Jilin Agricultural University, Changchun 130118, China
| | - Xiaohui Xu
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science and Technology, Jilin Agricultural University, Changchun 130118, China
| | - Tuoya Liu
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science and Technology, Jilin Agricultural University, Changchun 130118, China
| | - Yudong Wang
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science and Technology, Jilin Agricultural University, Changchun 130118, China
| | - Ziqiang Feng
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science and Technology, Jilin Agricultural University, Changchun 130118, China
| | - Jinhong Fu
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science and Technology, Jilin Agricultural University, Changchun 130118, China
| | - Jingyun Ma
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science and Technology, Jilin Agricultural University, Changchun 130118, China
| | - Fangming Zhuang
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science and Technology, Jilin Agricultural University, Changchun 130118, China
| | - Heng Cao
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science and Technology, Jilin Agricultural University, Changchun 130118, China
| | - Honglei Jin
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science and Technology, Jilin Agricultural University, Changchun 130118, China
| | - Jingbo Wang
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science and Technology, Jilin Agricultural University, Changchun 130118, China
| | - Yongfeng Sun
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science and Technology, Jilin Agricultural University, Changchun 130118, China
- Key Laboratory of Animal Production, Product Quality and Security, Jilin Agricultural University, Ministry of Education, Changchun 130118, China
- Correspondence:
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Lef1 and Dlx3 May Facilitate the Maturation of Secondary Hair Follicles in the Skin of Gansu Alpine Merino. Genes (Basel) 2022; 13:genes13081326. [PMID: 35893063 PMCID: PMC9394301 DOI: 10.3390/genes13081326] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2022] [Revised: 07/20/2022] [Accepted: 07/22/2022] [Indexed: 12/04/2022] Open
Abstract
Lymphatic enhancer factor 1 (Lef1) and distal-less homeobox 3 (Dlx3) are the transcription factors involved in regulating hair follicle development in mice, goats, and other animals. Their deletion can lead to hair follicle deficiency. In this study, hematoxylin−eosin staining (HE), real-time quantitative PCR (RT-qPCR), immunohistochemistry, and immunofluorescence were used to analyze the expression, location, and biological functions of Lef1 and Dlx3 in the lateral skin of Gansu Alpine Merino aged 1, 30, 60, and 90 days. The results revealed that the number of hair follicles decreased with age and was significantly higher at 1 day than in the other three age groups (p < 0.05). The mRNA levels of Lef1 and Dlx3 in the skin of 30-day old Gansu Alpine Merino were significantly higher than those in the other three age groups (p < 0.05). Protein expression of Lef1 and Dlx3 was lowest at 1 day (p < 0.05) and peaked at 60 days. Lef1 and Dlx3 exhibited a high density and strong positive expression in the dermal papillae; additionally, Dlx3 exhibited a high density and strong positive expression in the inner and outer root sheaths. Collectively, Lef1 and Dlx3 may facilitate the maturation of secondary hair follicles, which is mainly achieved through the dermal papillae and inner and outer root sheaths.
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Jiang Y, Liu H, Zou Q, Li S, Ding X. miR-29a-5p Inhibits Prenatal Hair Placode Formation Through Targeting EDAR by ceRNA Regulatory Network. Front Cell Dev Biol 2022; 10:902026. [PMID: 35646897 PMCID: PMC9133881 DOI: 10.3389/fcell.2022.902026] [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: 03/22/2022] [Accepted: 04/28/2022] [Indexed: 11/13/2022] Open
Abstract
Hair placode formation is an important stage of hair follicle morphogenesis and it is a complex process facilitated by non-coding RNAs. In this study, we conducted whole transcriptome sequencing analysis of skin, heart, liver, lung, and kidney tissues of day 41 (E41) normal and hairless pig embryos, and respectively detected 15, 8, and 515 skin-specific differentially expressed (DE) lncRNAs, miRNAs, and mRNAs. Furthermore, 18 competing endogenous RNA (ceRNA) networks were constructed. Following weighted gene co-expression network analysis (WGCNA) of stages E39, E41, E45, E52, and E60, between normal and hairless pig embryos, only two ceRNAs (lncRNA2162.1/miR-29a-5p/BMPR1b and lncRNA627.1/miR-29a-5p/EDAR) that showed period-specific differential expression in E41 skin were retained. Dual-luciferase reporter assays further indicated that EDAR was a direct, functioning target of miR-29a-5p and that no binding site was found in BMPR1b. Moreover, miR-29a-5p overexpression inhibited the mRNA and protein expression of EDAR while no significant differential expression of BMPR1b was detected. In addition, over-expressed lncRNA627.1 reduces the expression of miR-29a-5p and increase EDAR expression while inhibits lncRNA627.1 resulted in a opposite expression trend. Cell proliferation result demonstrated that lower expression of EDAR and lncRNA627.1 inhibited hair placode precursor cells (HPPCs) proliferation in a manner similar to that shown by over-expressed miR-29a-5p. This study identified that miR-29a-5p inhibited HPPCs proliferation via the suppression of EDAR expression in the EDA/EDAR signaling pathway, while lncRNA627.1 rescues EDAR expression. Our study provides a basis for a better understanding of the mechanisms underlying the ceRNA complex, miR29a-5p/EDAR/lncRNA627.1, that could regulate hair placode formation, which may help decipher diseases affecting human hair.
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Affiliation(s)
- Yao Jiang
- National Engineering Laboratory for Animal Breeding, Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture, College of Animal Science and Technology, China Agricultural University, Beijing, China
- Anhui Provincial Key Laboratory of Livestock and Poultry Product Safety Engineering, Institute of Animal Husbandry and Veterinary Medicine, Anhui Academy of Agricultural Sciences, Hefei, China
| | - Huatao Liu
- National Engineering Laboratory for Animal Breeding, Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture, College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Quan Zou
- National Engineering Laboratory for Animal Breeding, Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture, College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Shujuan Li
- National Engineering Laboratory for Animal Breeding, Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture, College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Xiangdong Ding
- National Engineering Laboratory for Animal Breeding, Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture, College of Animal Science and Technology, China Agricultural University, Beijing, China
- *Correspondence: Xiangdong Ding,
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