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Wadood AA, Xiquan Z. Unraveling the mysteries of chicken proteomics: Insights into follicle development and reproduction. J Proteomics 2024; 308:105281. [PMID: 39154802 DOI: 10.1016/j.jprot.2024.105281] [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: 06/19/2024] [Revised: 08/12/2024] [Accepted: 08/15/2024] [Indexed: 08/20/2024]
Abstract
Chicken proteomics is a valuable method for comprehending the many mechanisms involved in follicle growth and reproduction in birds. This study offers a thorough summary of the latest progress in chicken proteomics research, specifically highlighting the knowledge obtained regarding follicle development and reproductive physiology. Proteomic studies have revealed essential proteins and pathways that play a role in follicle development, including those that control oocyte size, maturation, and ovulation. Proteomic investigations have provided insight into the molecular pathways that govern reproductive processes. By utilizing advanced proteomic technologies, including mass spectrometry and protein microarray analysis, we have been able to identify and measure many proteins in chicken follicles at their different developmental stages. The utilization of proteomic methods has enabled the identification of previously unknown biomarkers for reproductive efficiency that expedited the creation of innovative diagnostic instruments for monitoring reproductive health in chicken. Chicken proteomics not only offers insights into follicle growth and reproduction but also uncovers the effects of environmental influences on reproductive function. This provides new opportunities for exploring the molecular pathways that cause these effects. The integration of current data with upcoming proteomic technologies offers the potential for innovative strategies to enhance chicken reproduction.
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Affiliation(s)
- Armughan Ahmed Wadood
- State Key Laboratory of Swine and Poultry Breeding Industry, Guangzhou, Guangdong, China; Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, and Key Lab of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture and Rural Affair, South China Agricultural University, Guangzhou 510642, China
| | - Zhang Xiquan
- State Key Laboratory of Swine and Poultry Breeding Industry, Guangzhou, Guangdong, China; Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, and Key Lab of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture and Rural Affair, South China Agricultural University, Guangzhou 510642, China.
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2
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Tan Y, Huang X, Xu C, Huang Y, Li S, Yin Z. Integrating Genomics and Transcriptomics to Identify Candidate Genes for Egg Production in Taihe Black-Bone Silky Fowls ( Gallus gallus domesticus Brisson). Int J Mol Sci 2024; 25:9373. [PMID: 39273321 PMCID: PMC11395579 DOI: 10.3390/ijms25179373] [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: 07/24/2024] [Revised: 08/27/2024] [Accepted: 08/27/2024] [Indexed: 09/15/2024] Open
Abstract
The Taihe Black-Bone Silky Fowl (Gallus gallus domesticus Brisson) possesses significant value in terms of consumption, medicinal applications, and ornamental appeal, representing a precious genetic resource and traditional Chinese medicinal material. However, considerable variation exists within populations regarding egg-laying performance. This study integrates a whole-genome selection signal analysis (SSA) with a transcriptome analysis to identify genes associated with egg-laying traits in Taihe Black-Bone Silky Fowls. We identified 31 candidate genes under selection from the high-yield chicken (HC) and low-yield chicken (LC) groups. Additionally, through RNA-seq analysis, 257 common differentially expressed genes (DEGs) were identified from four comparative groups. Two overlapping genes-LPL and SETBP1-were found in both the selected gene and DEG lists. These selected genes and DEGs were enriched in pathways related to ovarian development, including the lysosome pathway, the ECM-receptor interaction pathway, the TGF-beta signaling pathway, the Wnt signaling pathway, the PPAR signaling pathway, and the glycerolipid metabolism pathway. These research findings contribute to the breeding of Taihe Black-Bone Silky Fowls with high egg production traits and provide a theoretical foundation for exploring the regulatory mechanisms of avian reproduction.
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Affiliation(s)
- Yuting Tan
- College of Animal Science, Zhejiang University, Hangzhou 310058, China
| | - Xuan Huang
- College of Animal Science, Zhejiang University, Hangzhou 310058, China
| | - Chunhui Xu
- College of Animal Science, Zhejiang University, Hangzhou 310058, China
| | - Yunyan Huang
- College of Animal Science, Zhejiang University, Hangzhou 310058, China
| | - Shibao Li
- College of Animal Science, Zhejiang University, Hangzhou 310058, China
| | - Zhaozheng Yin
- College of Animal Science, Zhejiang University, Hangzhou 310058, China
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Manaa EA, El-Attrouny MM, El-Barbary A, Albadrani GM, Al-Ghadi MQ, Abdel-Daim MM, El-Tarabany MS, Ramadan SI. Laying performance, genetic parameters, and the expression of FSHβ, LHβ, FSHR, and LHR genes in Japanese quails selected for early egg production. Poult Sci 2024; 103:103358. [PMID: 38176363 PMCID: PMC10796976 DOI: 10.1016/j.psj.2023.103358] [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: 07/08/2023] [Revised: 11/08/2023] [Accepted: 12/02/2023] [Indexed: 01/06/2024] Open
Abstract
Investigating the impact of early egg production selection (the first 90 d of laying) on egg production features, cumulative selection response (CSR), and the mRNA expression of gonadotropins (FSHβ and LHβ), and their receptors (FSHR and LHR), in Japanese quails was the goal. The selection experiment involved 1293 females in all, 257 from the base group and 1036 from the 4 selected generations. Age and body weight at sexual maturity (ASM, BWSM), weight of the first egg (WFE), days to the first 10 eggs (DF10E), egg mass for the first 10 eggs (EMF10E), egg weight (EW), egg number at the first 90 d of laying (EN90D), and egg mass at the first 90 d of laying (EM90D) were all recorded. Most egg production traits had heritability estimates that were low to moderate and ranged from 0.17 to 0.33., where the highest estimates were reported for EN90D (0.33) and BWSM (0.32). With the exception of EN90D, low to moderate positive genetic correlations were observed between ASM and other egg production traits (0.17-0.44). The fourth generation showed significantly (P < 0.05) lower ASM and DF10E but higher BWSM, WFE, EN90D, EM10E, and EM90D when compared with the base generation. CSR were significant (P < 0.05) for ASM (-6.67 d), BWSM (27.13 g), WFE (0.93 g), DF10E (-1.25 d), EN90D (7.24 egg), EM10E (10.57 g), and EM90D (140.0 g). FSHβ, LHβ, FSHR, and LHR gene mRNA expression was considerably (P < 0.05) greater in the fourth generation compared to the base generation. In conclusion, selection programs depending on the efficiency of egg production (EN90D) could improve the genetic gain of egg production traits and upregulate the mRNA expression of FSHβ, LHβ, FSHR, and LHR genes in selected quails (fourth generation). These findings might help to enhance breeding plans and create commercial lines of high egg production Japanese quails.
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Affiliation(s)
- Eman A Manaa
- Animal and Poultry Production, Department of Animal Wealth Development, Faculty of Veterinary Medicine, Benha University, Moshtohor, Toukh 13736, Qalyubia, Egypt.
| | - Mahmoud M El-Attrouny
- Department of Animal Productions, Faculty of Agriculture, Benha University, Moshtohor, Toukh 13736, Qalyubia, Egypt
| | - Amal El-Barbary
- Poultry Breeding Research Department, Animal Production Research Institute, Agriculture Research Center, Giza, Egypt
| | - Ghadeer M Albadrani
- Department of Biology, College of Science, Princess Nourah bint Abdulrahman University, Riyadh 11671, Saudi Arabia
| | - Muath Q Al-Ghadi
- Department of Zoology, College of Science, King Saud University, Riyadh 11451, Saudi Arabia
| | - Mohamed M Abdel-Daim
- Department of Pharmaceutical Sciences, Pharmacy Program, Batterjee Medical College, Jeddah 21442, Saudi Arabia; Pharmacology Department, Faculty of Veterinary Medicine, Suez Canal University, Ismailia 41522, Egypt.
| | - Mahmoud S El-Tarabany
- Department of Animal Wealth Development, Faculty of Veterinary Medicine, Zagazig University, Zagazig 44511, Sharkia, Egypt
| | - Sherif I Ramadan
- Animal and Poultry Production, Department of Animal Wealth Development, Faculty of Veterinary Medicine, Benha University, Moshtohor, Toukh 13736, Qalyubia, Egypt
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Uju CN, Unniappan S. Growth factors and female reproduction in vertebrates. Mol Cell Endocrinol 2024; 579:112091. [PMID: 37863469 DOI: 10.1016/j.mce.2023.112091] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/15/2023] [Revised: 10/05/2023] [Accepted: 10/13/2023] [Indexed: 10/22/2023]
Abstract
Female reproductive efficiency is influenced by the outcomes of various processes, including folliculogenesis, apoptosis, response to gonadotropin signaling, oocyte maturation, and ovulation. The role of hormones in regulating these processes and other reproductive activities has been well established. It is becoming increasingly evident that in addition to well-characterized hormones, growth factors play vital roles in regulating some of these reproductive activities. Growth factors and their receptors are widely distributed in vertebrate ovaries at different stages of ovarian development, indicating their involvement in intraovarian reproductive functions. In the ovary, cell surface receptors allow growth factors to regulate intraovarian reproductive activities. Understanding these actions in the reproductive axis would provide a tool to target growth factors and/or their receptors to yield desirable reproductive outcomes. These include enrichment of in vitro maturation and fertilization culture media, and management of infertility. This review discusses some widely characterized growth factors belonging to the TGF, EGF, IGF, FGF, and BDNF family of peptides and their role in female reproduction in vertebrates, with a focus on mammals.
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Affiliation(s)
- Chinelo N Uju
- Laboratory of Integrative Neuroendocrinology, Department of Veterinary Biomedical Sciences, Western College of Veterinary Medicine, University of Saskatchewan, Saskatoon, Saskatchewan, S7N 5B4, Canada
| | - Suraj Unniappan
- Laboratory of Integrative Neuroendocrinology, Department of Veterinary Biomedical Sciences, Western College of Veterinary Medicine, University of Saskatchewan, Saskatoon, Saskatchewan, S7N 5B4, Canada.
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Kui H, Li P, Wang T, Luo Y, Ning C, Li M, Liu S, Zhu Q, Li J, Li D. Dynamic mRNA expression during chicken ovarian follicle development. G3 (BETHESDA, MD.) 2023; 14:jkad237. [PMID: 37832513 PMCID: PMC10755205 DOI: 10.1093/g3journal/jkad237] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/24/2023] [Revised: 07/24/2023] [Accepted: 09/27/2023] [Indexed: 10/15/2023]
Abstract
Ovarian follicle development is a complex and well-orchestrated biological process of great economic significance for poultry production. Specifically, understanding the molecular mechanisms underlying follicular development is essential for high-efficiency follicular development can benefit the entire industry. In addition, domestic egg-laying hens often spontaneously develop ovarian cancer, providing an opportunity to study the genetic, biochemical, and environmental risk factors associated with the development of this cancer. Here, we provide high-quality RNA sequencing data for chicken follicular granulosa cells across 10 developmental stages, which resulted in a total of 204.57 Gb of clean sequencing data (6.82 Gb on average per sample). We also performed gene expression, time-series, and functional enrichment analyses across the 10 developmental stages. Our study revealed that SWF (small while follicle), F1 (F1 hierarchical follicles), and POFs (postovulatory follicles) best represent the transcriptional changes associated with the prehierarchical, preovulatory, and postovulatory stages, respectively. We found that the preovulatory stage F1 showed the greatest divergence in gene expression from the POF stage. Our research lays a foundation for further elucidation of egg-laying performance of chicken and human ovarian disease.
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Affiliation(s)
- Hua Kui
- School of Pharmacy, Chengdu University, Chengdu 610106, People’s Republic of China
- Jinxin Research Institute for Reproductive Medicine and Genetics, Chengdu Xi Nan Gynecological Hospital Co., Ltd., 66 Bisheng Road, Chengdu 610000, People’s Republic of China
| | - Penghao Li
- Jinxin Research Institute for Reproductive Medicine and Genetics, Chengdu Xi Nan Gynecological Hospital Co., Ltd., 66 Bisheng Road, Chengdu 610000, People’s Republic of China
| | - Tao Wang
- School of Pharmacy, Chengdu University, Chengdu 610106, People’s Republic of China
| | - Yingyu Luo
- College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, Sichuan, People’s Republic of China
| | - Chunyou Ning
- College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, Sichuan, People’s Republic of China
| | - Mengmeng Li
- College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, Sichuan, People’s Republic of China
| | - Siying Liu
- School of Pharmacy, Chengdu University, Chengdu 610106, People’s Republic of China
| | - Qing Zhu
- College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, Sichuan, People’s Republic of China
| | - Jing Li
- College of Agriculture, Kunming University, Kunming 650214, People’s Republic of China
| | - Diyan Li
- School of Pharmacy, Chengdu University, Chengdu 610106, People’s Republic of China
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Zhang L, Zhu R, Sun G, Wang J, Zuo Q, Zhu S. Whole-Transcriptome Sequencing of Ovary Reveals the ceRNA Regulation Network in Egg Production of Gaoyou Duck. Genes (Basel) 2023; 15:9. [PMID: 38275591 PMCID: PMC10815415 DOI: 10.3390/genes15010009] [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: 11/16/2023] [Revised: 12/17/2023] [Accepted: 12/18/2023] [Indexed: 01/27/2024] Open
Abstract
To investigate the regulatory mechanism of the competing endogenous RNAs (ceRNAs) on the egg performance of Gaoyou ducks, full transcriptome sequencing was performed to analyze the ovarian tissues in Gaoyou ducks. The ducks were categorized into high- and low-yield groups based on the individual in-cage egg production records and the hematoxylin-eosin (HE) staining results. The differentially expressed genes (DEGs), long non-coding RNAs (lncRNAs), and circular RNAs (circRNAs) were further processed by GO (gene ontology) and KEGG (Kyoto Encyclopedia of Genes and Genomes) analyses. In total, 72 DEmRNAs; 23 DElncRNAs; 4 DEcircRNAs; and 5 signaling pathways, including the ovarian steroidogenesis, PI3K-Akt, hedgehog, tryptophan metabolism, and oocyte meiosis signaling pathways, were significantly enriched. These results suggest that they could be associated with the Gaoyou duck's ovarian function and affect the total egg production or double-yolked egg production. Furthermore, a coregulation network based on the related candidate ceRNAs across the high- and low-yield egg production groups was constructed. Our findings provide new insights into the mechanisms underlying the molecular regulation of related circRNA/lncRNA-miRNA-mRNA in the egg production and double-yolked egg traits of Gaoyou ducks.
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Affiliation(s)
- Lei Zhang
- Jiangsu Key Laboratory for High-Tech Research and Development of Veterinary Biopharmaceuticals, Jiangsu Agri-Animal Husbandry Vocational College, Taizhou 225300, China; (L.Z.); (R.Z.); (G.S.); (J.W.)
| | - Rui Zhu
- Jiangsu Key Laboratory for High-Tech Research and Development of Veterinary Biopharmaceuticals, Jiangsu Agri-Animal Husbandry Vocational College, Taizhou 225300, China; (L.Z.); (R.Z.); (G.S.); (J.W.)
| | - Guobo Sun
- Jiangsu Key Laboratory for High-Tech Research and Development of Veterinary Biopharmaceuticals, Jiangsu Agri-Animal Husbandry Vocational College, Taizhou 225300, China; (L.Z.); (R.Z.); (G.S.); (J.W.)
| | - Jian Wang
- Jiangsu Key Laboratory for High-Tech Research and Development of Veterinary Biopharmaceuticals, Jiangsu Agri-Animal Husbandry Vocational College, Taizhou 225300, China; (L.Z.); (R.Z.); (G.S.); (J.W.)
| | - Qisheng Zuo
- Key Laboratory of Animal Breeding Reproduction and Molecular Design for Jiangsu Province, College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China;
| | - Shanyuan Zhu
- Jiangsu Key Laboratory for High-Tech Research and Development of Veterinary Biopharmaceuticals, Jiangsu Agri-Animal Husbandry Vocational College, Taizhou 225300, China; (L.Z.); (R.Z.); (G.S.); (J.W.)
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Tai Y, Yang X, Han D, Xu Z, Cai G, Hao J, Zhang B, Deng X. Transcriptomic diversification of granulosa cells during follicular development between White Leghorn and Silky Fowl hens. Front Genet 2022; 13:965414. [PMID: 35957698 PMCID: PMC9360743 DOI: 10.3389/fgene.2022.965414] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2022] [Accepted: 07/07/2022] [Indexed: 11/25/2022] Open
Abstract
Egg production rate in chicken is related to the continuity of follicle development. In this study, we found that the numbers of white prehierarchical, dominant, and yellow preovulatory follicles in the high-yielding layer breed, White Leghorn (WL), were significantly higher than those in the low egg-yielding variety, Silky Fowl (SF). The proliferation and differentiation of granulosa cells (GCs) play an important role in follicle maturation. Histological observation revealed a large number of melanocytes in the outer granulosa layer of follicles in SF but not in WL. Finally, RNA-sequencing was used to analyze the gene expression profiles and pathways of the GC layer in the follicles in both WL and SF hens. Transcriptome analysis of prehierarchical GCs (phGCs) and preovulatory GCs (poGCs) between WL and SF showed that steroid hormone-, oxytocin synthesis-, tight junction-, and endocytosis-related genes were expressed at higher levels in WL phGCs than in SF phGCs, whereas the insulin signaling pathway- and vascular smooth muscle contraction-related genes were upregulated in SF phGCs. Fatty acid synthesis, calcium signaling, and Wnt signaling pathway-related genes were expressed at higher levels in WL poGCs than in SF poGCs; however, adrenergic signaling, cGMP-PKG, and melanogenesis-related genes were upregulated in SF poGCs. These results indicate that genes that promote GC proliferation and secretion of various sex hormones are more active in WL than in SF hens. The upregulated signaling pathways in SF help in providing energy to GCs and for angiogenesis and melanogenesis. In vitro experiments confirmed that both the proliferation of poGCs and synthesis of reproductive hormones were higher in WL than in SF hens.
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Affiliation(s)
- Yurong Tai
- Key Laboratory of Animal Genetics, Breeding and Reproduction of the Ministry of Agriculture & Beijing Key Laboratory of Animal Genetic Improvement, China Agricultural University, Beijing, China
| | - Xue Yang
- Key Laboratory of Animal Genetics, Breeding and Reproduction of the Ministry of Agriculture & Beijing Key Laboratory of Animal Genetic Improvement, China Agricultural University, Beijing, China
| | - Deping Han
- College of Veterinary Medicine, China Agricultural University, Beijing, China
| | - Zihan Xu
- Key Laboratory of Animal Genetics, Breeding and Reproduction of the Ministry of Agriculture & Beijing Key Laboratory of Animal Genetic Improvement, China Agricultural University, Beijing, China
| | - Ganxian Cai
- Key Laboratory of Animal Genetics, Breeding and Reproduction of the Ministry of Agriculture & Beijing Key Laboratory of Animal Genetic Improvement, China Agricultural University, Beijing, China
| | - Jiaqi Hao
- Key Laboratory of Animal Genetics, Breeding and Reproduction of the Ministry of Agriculture & Beijing Key Laboratory of Animal Genetic Improvement, China Agricultural University, Beijing, China
| | - Bingjie Zhang
- Key Laboratory of Animal Genetics, Breeding and Reproduction of the Ministry of Agriculture & Beijing Key Laboratory of Animal Genetic Improvement, China Agricultural University, Beijing, China
| | - Xuemei Deng
- Key Laboratory of Animal Genetics, Breeding and Reproduction of the Ministry of Agriculture & Beijing Key Laboratory of Animal Genetic Improvement, China Agricultural University, Beijing, China
- Hainan Sanya Research Institute, Seed Laboratory, Sanya, China
- *Correspondence: Xuemei Deng,
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