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Liu Y, Weng K, Li G, Wang H, Tan Y, He D. Genetic and metabolic mechanisms underlying webbed feet pigmentation in geese: Insights from histological, transcriptomic, and metabolomic analyses. Poult Sci 2025; 104:105233. [PMID: 40367570 DOI: 10.1016/j.psj.2025.105233] [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: 02/18/2025] [Revised: 04/19/2025] [Accepted: 04/29/2025] [Indexed: 05/16/2025] Open
Abstract
This study systematically investigated the genetic and metabolic mechanisms underlying pigmentation in goose webbed feet by integrating histological, transcriptomic, and metabolomic analyses. Histological examinations revealed significant differences in melanin deposition among webbed feet of varying colors. Dark black webbed feet exhibited the highest melanin content, light black webbed feet showed moderate levels, and colorless webbed feet lacked detectable melanin. Transcriptomic analysis identified substantial variations in the expression levels of key genes involved in melanin biosynthesis, including TYRP1, PMEL, DCT, TYR, OCA2, MC1R, RAB38, WNT16, CAMK2A, and MLANA, between pigmented and colorless webbed feet. Notably, the OCA2 gene exhibited significantly higher expression in dark black webbed feet compared to light black webbed feet, underscoring its pivotal role in regulating pigmentation intensity. Enrichment analysis emphasized the importance of pathways related to tyrosine metabolism, melanin production, and amino acid biosynthesis in determining pigmentation differences. Metabolomic profiling supported these findings, revealing that L-tyrosine and 5,6-dihydroxyindole-2-carboxylic acid are critical metabolites in the melanin biosynthesis pathway. Specifically, elevated levels of L-tyrosine were detected in colorless webbed feet, likely due to inhibited melanin synthesis, whereas 5,6-dihydroxyindole-2-carboxylic acid levels were highest in dark black webbed feet, reflecting active melanin production. Correlation analysis between transcriptomic and metabolomic data further validated the central role of tyrosine metabolism and melanin biosynthesis pathways in pigmentation. In conclusion, this study employed multi-omics approaches to elucidate the critical role of the OCA2-centered genetic-metabolic regulatory network in melanin deposition of goose webbed feet, providing important insights into the molecular mechanisms of avian pigmentation and valuable references for poultry breeding.
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Affiliation(s)
- Yi Liu
- Shanghai Academy of Agricultural Sciences, Shanghai, China
| | - Kaiqi Weng
- Shanghai Academy of Agricultural Sciences, Shanghai, China
| | - Guangquan Li
- Shanghai Academy of Agricultural Sciences, Shanghai, China
| | - Huiying Wang
- Shanghai Academy of Agricultural Sciences, Shanghai, China
| | - Yu Tan
- Hunan Wugang Tong Geese Agricultural Development Co. Ltd., Hunan, China
| | - Daqian He
- Shanghai Academy of Agricultural Sciences, Shanghai, 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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Pan R, Hua T, Ding Y, Bai H, Jiang Y, Wang Z, Hu M, Chen G, Wu X, Chang G. Study on changing disciplinarian of beak colors in ducks and the regulation network based on transcriptome sequencing. Poult Sci 2024; 103:103266. [PMID: 38039827 PMCID: PMC10698678 DOI: 10.1016/j.psj.2023.103266] [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: 09/26/2023] [Accepted: 11/03/2023] [Indexed: 12/03/2023] Open
Abstract
Beak color in ducks is a primary characteristic of local breeds and genetic resources. Among them, black beaks, a rare packaging trait of high-quality duck products, have attracted much attention. In this study, Runzhou White Created ducks (black beak) and white-feathered Putian black ducks (yellow beak) were used to construct the F2 generation resource population to study the changing discipline of beak color combined with the beak color statistics of gray-beaked ducklings of Runzhou White Created ducks. Subsequently, transcriptome sequencing was performed to identify genetic markers related to beak color. To explore the rules of beak color change and its regulatory network, trends, and trend analysis and weighted gene co-expression network analysis(WGCNA)were performed. The screening results were verified by real-time quantitative polymerase chain reaction. A large difference was observed between the beak colors of birds from the F1 generation at 0 and 42 d of age. The F2 generation results show that nearly half of the black-beaked ducklings become green-beaked; the proportion of black spots for gray- and patterned-beaked ducklings increases with age, with most becoming green-beaked. Moreover, the beak color darkened from the first day, and the gray color value decreased significantly from the second day. Transcriptome sequencing indicated that TYR was differentially expressed between black and yellow beaks at 4 to 6 wk of age, and trend and WGCNA analyses showed that EDNRB signaling pathway genes and MITF were highly expressed in the first week, and TYR, TYRP1, and DCT were highly expressed at 4 to 6 wk of age. Therefore, there is melanin synthesis and deposition after hatching for gray- and patterned-beaked ducklings, while the yellow pigment might be deposited in the epidermis of beaks for black-beaked ducklings. The EDNRB signaling pathway is probably involved in early melanosome maturation and melanin formation in duck beaks, and genes such as TYR can maintain the black-beak phenotype.
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Affiliation(s)
- Rui Pan
- College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China
| | - Tian Hua
- College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China
| | - Yifan Ding
- College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China
| | - Hao Bai
- Joint International Research Laboratory of Agriculture and Agri-Product Safety, The Ministry of Education of China, Yangzhou University, Yangzhou 225009, China
| | - Yong Jiang
- College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China
| | - Zhixiu Wang
- College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China
| | - Min Hu
- Zhenjiang Tiancheng Agricultural Science and Technology Co., Ltd., Zhenjiang 212000, China
| | - Guohong Chen
- College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China
| | - Xinsheng Wu
- College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China
| | - Guobin Chang
- College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China; Joint International Research Laboratory of Agriculture and Agri-Product Safety, The Ministry of Education of China, Yangzhou University, Yangzhou 225009, China.
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Yang Y, Li Z, Zong H, Liu S, Du Q, Wu H, Li Z, Wang X, Huang L, Lai C, Zhang M, Wang W, Chen X. Identification and Validation of Magnolol Biosynthesis Genes in Magnolia officinalis. Molecules 2024; 29:587. [PMID: 38338333 PMCID: PMC10856379 DOI: 10.3390/molecules29030587] [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: 12/21/2023] [Revised: 01/16/2024] [Accepted: 01/22/2024] [Indexed: 02/12/2024] Open
Abstract
Bacterial infections pose a significant risk to human health. Magnolol, derived from Magnolia officinalis, exhibits potent antibacterial properties. Synthetic biology offers a promising approach to manufacture such natural compounds. However, the plant-based biosynthesis of magnolol remains obscure, and the lack of identification of critical genes hampers its synthetic production. In this study, we have proposed a one-step conversion of magnolol from chavicol using laccase. After leveraging 20 transcriptomes from diverse parts of M. officinalis, transcripts were assembled, enriching genome annotation. Upon integrating this dataset with current genomic information, we could identify 30 laccase enzymes. From two potential gene clusters associated with magnolol production, highly expressed genes were subjected to functional analysis. In vitro experiments confirmed MoLAC14 as a pivotal enzyme in magnolol synthesis. Improvements in the thermal stability of MoLAC14 were achieved through selective mutations, where E345P, G377P, H347F, E346C, and E346F notably enhanced stability. By conducting alanine scanning, the essential residues in MoLAC14 were identified, and the L532A mutation further boosted magnolol production to an unprecedented level of 148.83 mg/L. Our findings not only elucidated the key enzymes for chavicol to magnolol conversion, but also laid the groundwork for synthetic biology-driven magnolol production, thereby providing valuable insights into M. officinalis biology and comparative plant science.
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Affiliation(s)
- Yue Yang
- School of Ecology and Environment, Northwestern Polytechnical University, Xi’an 710072, China; (Y.Y.); (Z.L.); (H.Z.); (Z.L.)
| | - Zihe Li
- School of Ecology and Environment, Northwestern Polytechnical University, Xi’an 710072, China; (Y.Y.); (Z.L.); (H.Z.); (Z.L.)
| | - Hang Zong
- School of Ecology and Environment, Northwestern Polytechnical University, Xi’an 710072, China; (Y.Y.); (Z.L.); (H.Z.); (Z.L.)
| | - Shimeng Liu
- Jiaxing Synbiolab Biotechnology Co., Ltd., Jiaxing 314006, China; (S.L.); (Q.D.); (H.W.); (X.W.); (L.H.); (C.L.)
| | - Qiuhui Du
- Jiaxing Synbiolab Biotechnology Co., Ltd., Jiaxing 314006, China; (S.L.); (Q.D.); (H.W.); (X.W.); (L.H.); (C.L.)
| | - Hao Wu
- Jiaxing Synbiolab Biotechnology Co., Ltd., Jiaxing 314006, China; (S.L.); (Q.D.); (H.W.); (X.W.); (L.H.); (C.L.)
| | - Zhenzhu Li
- School of Ecology and Environment, Northwestern Polytechnical University, Xi’an 710072, China; (Y.Y.); (Z.L.); (H.Z.); (Z.L.)
| | - Xiao Wang
- Jiaxing Synbiolab Biotechnology Co., Ltd., Jiaxing 314006, China; (S.L.); (Q.D.); (H.W.); (X.W.); (L.H.); (C.L.)
| | - Lihui Huang
- Jiaxing Synbiolab Biotechnology Co., Ltd., Jiaxing 314006, China; (S.L.); (Q.D.); (H.W.); (X.W.); (L.H.); (C.L.)
| | - Changlong Lai
- Jiaxing Synbiolab Biotechnology Co., Ltd., Jiaxing 314006, China; (S.L.); (Q.D.); (H.W.); (X.W.); (L.H.); (C.L.)
| | - Meide Zhang
- Institute of Chinese Herbal Medicines, Hubei Academy of Agricultural Sciences, Enshi 445000, China;
| | - Wen Wang
- School of Ecology and Environment, Northwestern Polytechnical University, Xi’an 710072, China; (Y.Y.); (Z.L.); (H.Z.); (Z.L.)
| | - Xianqing Chen
- Jiaxing Synbiolab Biotechnology Co., Ltd., Jiaxing 314006, China; (S.L.); (Q.D.); (H.W.); (X.W.); (L.H.); (C.L.)
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Pan R, Hua T, Guo Q, Bai H, Jiang Y, Wang Z, Bi Y, Chen G, Wu X, Chang G. Identification of SNPs in MITF associated with beak color of duck. Front Genet 2023; 14:1161396. [PMID: 37671042 PMCID: PMC10475569 DOI: 10.3389/fgene.2023.1161396] [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: 02/08/2023] [Accepted: 07/27/2023] [Indexed: 09/07/2023] Open
Abstract
Introduction: Beak color-a pigment-related trait-is an important feature of duck breeds. Recently, little research has addressed genetic mechanism of the beak colors in poultry, whereas the process and the regulation factors of melanin deposition have been well described. Methods: To investigate the genetic mechanism of beak colors, we conducted an integrated analysis of genomic selection signatures to identify a candidate site associated with beak color. For this, we used black-billed (Yiyang I meat duck synthetic line H1, H2, H3&HF) and yellow-billed ducks (Cherry Valley ducks and white feather Putian black duck). Quantitative real-time PCR and genotyping approaches were used to verify the function of the candidate site. Results: We identified 3,895 windows containing 509 genes. After GO and KEGG enrichment analysis, nine genes were selected. Ultimately, MITF was selected by comparing the genomic differentiation (FST). After loci information selection, 41 extreme significantly different loci were selected, which are all located in intron regions of MITF and are in almost complete linkage disequilibrium. Subsequently, the site ASM874695v1:10:g.17814522T > A in MITF was selected as the marker site. Furthermore, we found that MITF expression is significantly higher in black-beaked ducks than in yellow-beaked ducks of the F2 generation (p < 0.01). After genotyping, most yellow-billed individuals are found with homozygous variant; at the same time, there are no birds with homozygous variant in black-billed populations, while the birds with homozygous and heterozygous variant share the same proportion. Conclusion: MITF plays a very critical role in the melanogenesis and melanin deposition of duck beaks, which can effectively affect the beak color. The MITF site, ASM874695v1:10:g.17814522T > A could be selected as a marker site for the duck beak color phenotype.
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Affiliation(s)
- Rui Pan
- College of Animal Science and Technology, Yangzhou University, Yangzhou, China
| | - Tian Hua
- College of Animal Science and Technology, Yangzhou University, Yangzhou, China
| | - Qixin Guo
- College of Animal Science and Technology, Yangzhou University, Yangzhou, China
| | - Hao Bai
- College of Animal Science and Technology, Yangzhou University, Yangzhou, China
| | - Yong Jiang
- College of Animal Science and Technology, Yangzhou University, Yangzhou, China
| | - Zhixiu Wang
- College of Animal Science and Technology, Yangzhou University, Yangzhou, China
| | - Yulin Bi
- College of Animal Science and Technology, Yangzhou University, Yangzhou, China
| | - Guohong Chen
- College of Animal Science and Technology, Yangzhou University, Yangzhou, China
| | - Xinsheng Wu
- Joint International Research Laboratory of Agriculture and Agri-Product Safety, The Ministry of Education of China, Yangzhou University, Yangzhou, China
| | - Guobin Chang
- College of Animal Science and Technology, Yangzhou University, Yangzhou, China
- Joint International Research Laboratory of Agriculture and Agri-Product Safety, The Ministry of Education of China, Yangzhou University, Yangzhou, China
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Identification of key sex-specific pathways and genes in the subcutaneous adipose tissue from pigs using WGCNA method. BMC Genom Data 2022; 23:35. [PMID: 35538407 PMCID: PMC9086418 DOI: 10.1186/s12863-022-01054-w] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2021] [Accepted: 05/04/2022] [Indexed: 02/08/2023] Open
Abstract
Background Adipose tissues (ATs), including visceral ATs (VATs) and subcutaneous ATs (SATs), are crucial for maintaining energy and metabolic homeostasis. SATs have been found to be closely related to obesity and obesity-induced metabolic disease. Some studies have shown a significant association between subcutaneous fat metabolism and sexes. However, the molecular mechanisms for this association are still unclear. Here, using the pig as a model, we investigated the systematic association between the subcutaneous fat metabolism and sexes, and identified some key sex-specific pathways and genes in the SATs from pigs. Results The results revealed that 134 differentially expressed genes (DEGs) were identified in female and male pigs from the obese group. A total of 17 coexpression modules were detected, of which six modules were significantly correlated with the sexes (P < 0.01). Among the significant modules, the greenyellow module (cor = 0.68, P < 9e-06) and green module (cor = 0.49, P < 0.003) were most significantly positively correlated with the male and female, respectively. Functional analysis showed that one GO term and four KEGG pathways were significantly enriched in the greenyellow module while six GO terms and six KEGG pathways were significantly enriched in the green module. Furthermore, a total of five and two key sex-specific genes were identified in the two modules, respectively. Two key sex-specific pathways (Ras-MAPK signaling pathway and type I interferon response) play an important role in the SATs of males and females, respectively. Conclusions The present study identified some key sex-specific pathways and genes in the SATs from pigs, which provided some new insights into the molecular mechanism of being involved in fat formation and immunoregulation between pigs of different sexes. These findings may be beneficial to breeding in the pig industry and obesity treatment in medicine. Supplementary Information The online version contains supplementary material available at 10.1186/s12863-022-01054-w.
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