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Nie R, Tian H, Zhang W, Li F, Zhang B, Zhang H. NR5A1 and NR5A2 regulate follicle development in chicken (Gallus gallus) by altering proliferation, apoptosis, and steroid hormone synthesis of granulosa cells. Poult Sci 2024; 103:103620. [PMID: 38492249 PMCID: PMC10959722 DOI: 10.1016/j.psj.2024.103620] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2023] [Revised: 02/22/2024] [Accepted: 03/01/2024] [Indexed: 03/18/2024] Open
Abstract
Chicken ovarian follicle development is regulated by complex and dynamic gene expression. Nuclear receptor 5A1 and 5A2 (NR5A1 and NR5A2, respectively) are key genes that regulate steroid hormone production and gonadal development in mammals; however, studies on follicular development in the chicken ovary are scarce. In this study, we investigated the functions of NR5A1 and NR5A2 on follicle development in chickens. The results showed that the expression of NR5A1 and NR5A2 was significantly higher in small yellow follicles and F5. Furthermore, the expression of NR5A1 and NR5A2 was significantly higher in follicular tissues of peak-laying hens (30 wk) than in follicular tissues of late-laying hens (60 wk), with high expression abundance in granulosa cells (GC). The overexpression of NR5A1 and NR5A2 significantly promoted proliferation and inhibited apoptosis of cultured GC; upregulated STAR, CYP11A1, and CYP19A1 expression and estradiol (E2) and progesterone (P4) synthesis in GC from preovulatory follicles (po-GC); and increased STAR, CYP11A1, and CYP19A1 promoter activities. In addition, follicle-stimulating hormone treatment significantly upregulated NR5A1 and NR5A2 expression in po-GC and significantly promoted FSHR, CYP11A1, and HSD3B1 expression in GC from pre-hierarchical follicles and po-GC. The core promoter region of NR5A1 was identified at the -1,095- to -483-bp and -2,054- to -1,536-bp regions from the translation start site (+1), and the core promoter region of NR5A2 was at -998 to -489 bp. Two single nucleotide polymorphisms (SNP) were identified in the core promoter region of the NR5A1 gene, which differed between high- and low-yielding chicken groups. Our study suggested that NR5A1 and NR5A2 promoted chicken follicle development by promoting GC proliferation and E2 and P4 hormone synthesis and inhibiting apoptosis. Moreover, we identified the promoter core region or functional site that regulates NR5A1 and NR5A2 expression.
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Affiliation(s)
- Ruixue Nie
- State Key Laboratory of Animal Biotech Breeding, Beijing Key Laboratory for Animal Genetic Improvement, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China
| | - Haoyu Tian
- State Key Laboratory of Animal Biotech Breeding, Beijing Key Laboratory for Animal Genetic Improvement, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China
| | - Wenhui Zhang
- State Key Laboratory of Animal Biotech Breeding, Beijing Key Laboratory for Animal Genetic Improvement, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China
| | - Fuwei Li
- Poultry Institute, Shangdong Academy of Agricultural Sciences, Jinan 250100, China
| | - Bo Zhang
- State Key Laboratory of Animal Biotech Breeding, Beijing Key Laboratory for Animal Genetic Improvement, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China
| | - Hao Zhang
- State Key Laboratory of Animal Biotech Breeding, Beijing Key Laboratory for Animal Genetic Improvement, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China.
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Francoeur L, Scoville DM, Johnson PA. Investigations of the function of AMH in granulosa cells in hens. Gen Comp Endocrinol 2024; 349:114454. [PMID: 38266936 DOI: 10.1016/j.ygcen.2024.114454] [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: 10/10/2023] [Revised: 01/16/2024] [Accepted: 01/21/2024] [Indexed: 01/26/2024]
Abstract
Anti-mullerian hormone (AMH) plays a crucial role in follicle regulation in mammals by preventing premature primordial follicle activation and restricting follicle development through reduction of FSH sensitivity and inhibition of FSH-induced increase of steroidogenic enzymes. AMH is produced by granulosa cells from growing follicles and expression declines at the time of selection in both mammalian and avian species. The role of AMH in chicken granulosa cells remains unclear, as research is complicated because mammalian AMH is not bioactive in chickens and there is a lack of commercially available chicken AMH. In the current experiments, we used RNA interference to study the role of AMH on markers of follicle development in the presence and absence of FSH. Cultured chicken granulosa cells from 3-5 mm follicles and 6-8 mm follicles, the growing pool from which follicle selection is thought to occur, were used. Transfection with an AMH-specific siRNA significantly reduced AMH mRNA expression in granulosa cells from 3-5 mm and 6-8 mm follicles. Genes of interest were only measured in granulosa cells of 3-5 mm follicles due to low expression of AMH mRNA at the 6-8 mm follicle stage. Knockdown of AMH mRNA did not affect markers of follicle development (follicle stimulating hormone receptor, FSHR; steroidogenic acute regulatory protein, STAR; cytochrome P450 family 11 subfamily A member 1, CYP11A1; bone morphogenetic protein receptor type 2, BMPR2) or FSH responsiveness in granulosa cells from 3-5 mm follicles, indicating that AMH does not regulate follicle development directly by affecting markers of steroidogenesis, FSHR or BMPR2 at this follicle stage in chickens.
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Affiliation(s)
- Laurie Francoeur
- Department of Animal Science, College of Agriculture and Life Sciences, Cornell University, Ithaca, NY 14853, USA
| | - Deena M Scoville
- Department of Animal Science, College of Agriculture and Life Sciences, Cornell University, Ithaca, NY 14853, USA
| | - Patricia A Johnson
- Department of Animal Science, College of Agriculture and Life Sciences, Cornell University, Ithaca, NY 14853, USA.
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Huang Y, Li S, Tan Y, Xu C, Huang X, Yin Z. Identification and functional analysis of ovarian lncRNAs during different egg laying periods in Taihe Black-Bone Chickens. Front Physiol 2024; 15:1358682. [PMID: 38426211 PMCID: PMC10902129 DOI: 10.3389/fphys.2024.1358682] [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: 12/20/2023] [Accepted: 02/05/2024] [Indexed: 03/02/2024] Open
Abstract
Introduction: Long non-coding RNA (lncRNA) refers to a category of non-coding RNA molecules exceeding 200 nucleotides in length, which exerts a regulatory role in the context of ovarian development. There is a paucity of research examining the involvement of lncRNA in the regulation of ovary development in Taihe Black-Bone Chickens. In order to further investigate the egg laying regulation mechanisms of Taihe Black-Bone Chickens at different periods, transcriptome analysis was conducted on the ovarian tissues at different laying periods. Methods: This study randomly selected ovarian tissues from 12 chickens for RNA-seq. Four chickens were selected for each period, including the early laying period (102 days, Pre), the peak laying period (203 days, Peak), and the late laying period (394 days, Late). Based on our previous study of mRNA expression profiles in the same ovarian tissue, we identified three differentially expressed lncRNAs (DE lncRNAs) at different periods and searched for their cis- and trans-target genes to draw an lncRNA-mRNA network. Results and discussion: In three groups of ovarian tissues, we identified 136 DE lncRNAs, with 8 showing specific expression during the early laying period, 10 showing specific expression during the peak laying period, and 4 showing specific expression during the late laying period. The lncRNA-mRNA network revealed 16 pairs of lncRNA-target genes associated with 7 DE lncRNAs, and these 14 target genes were involved in the regulation of reproductive traits. Furthermore, these reproductive-related target genes were primarily associated with signaling pathways related to follicle and ovary development in Taihe Black-Bone Chickens, including cytokine-cytokine receptor interaction, TGF-beta signaling pathway, tyrosine metabolism, ECM-receptor interaction, focal adhesion, neuroactive ligand-receptor interaction, and cell adhesion molecules (CAMs). This study offers valuable insights for a comprehensive understanding of the influence of lncRNAs on poultry reproductive traits.
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Affiliation(s)
| | | | | | | | | | - Zhaozheng Yin
- College of Animal Science, Zhejiang University, Hangzhou, China
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Ma Y, Cheng B, Zhou S, Wang Y, Jing Y, Leng L, Wang S, Li Y, Luan P, Cao Z, Li H. Comparative analyses of laying performance and follicular development characteristics between fat and lean broiler lines. Poult Sci 2024; 103:103250. [PMID: 37992620 PMCID: PMC10667750 DOI: 10.1016/j.psj.2023.103250] [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: 08/07/2023] [Revised: 10/24/2023] [Accepted: 10/26/2023] [Indexed: 11/24/2023] Open
Abstract
The deposition of high levels of fat in broiler breeder hens can have a profound impact on follicular development and laying performance. This study was formulated with the goal of comparing egg production and follicular development characteristics at different laying stages in the Northeast Agricultural University broiler lines divergently selected for abdominal fat content (NEAUHLF). The egg production was analyzed using the birds from the 19th to 24th generations of NEAUHLF; the follicular development characteristics were analyzed by hematoxylin-eosin staining and quantitative real-time polymerase chain reaction using the birds from the 24th generation of NEAUHLF. The results showed that the age at first egg of lean hens was significantly earlier than that of fat hens in this study. While no significant differences in total egg output from the first egg to 50 wk of age were noted when comparing these 2 chicken lines, lean hens laid more eggs from the first egg to 35 wk of age relative to fat hens, whereas fat hens laid more eggs from wk 36 to 42 and 43 to 50 relative to their lean counterparts. No differences in ovarian morphology and small yellow follicle (SYF) histological characteristics were noted when comparing these 2 chicken lines at 27 wk of age. At 35 and 52 wk of age, however, lean hens exhibited significantly lower ovarian weight, ovarian proportion values, numbers of hierarchical follicles, hierarchical follicle weight, and SYF granulosa layer thickness as compared to fat hens, together with a significant increase in the number of prehierarchical follicles relative to those in fat hens. Gene expression analyses suggested that follicle selection was impaired in the fat hens in the early laying stage, whereas both follicle selection and maturation were impaired in the lean hens in the middle and late laying stages. Overall, these data highlight that fat deposition in broiler hens can have a range of effects on follicular development and egg production that are laying stage-dependent.
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Affiliation(s)
- Yanyan Ma
- Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and Rural Affairs, Harbin, Heilongjiang 150030, China; Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department of Heilongjiang Province, Harbin, Heilongjiang 150030, China; College of Animal Science and Technology, Northeast Agricultural University, Harbin, Heilongjiang 150030, China
| | - Bohan Cheng
- Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and Rural Affairs, Harbin, Heilongjiang 150030, China; Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department of Heilongjiang Province, Harbin, Heilongjiang 150030, China; College of Animal Science and Technology, Northeast Agricultural University, Harbin, Heilongjiang 150030, China
| | - Sitong Zhou
- Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and Rural Affairs, Harbin, Heilongjiang 150030, China; Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department of Heilongjiang Province, Harbin, Heilongjiang 150030, China; College of Animal Science and Technology, Northeast Agricultural University, Harbin, Heilongjiang 150030, China
| | - Youdong Wang
- Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and Rural Affairs, Harbin, Heilongjiang 150030, China; Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department of Heilongjiang Province, Harbin, Heilongjiang 150030, China; College of Animal Science and Technology, Northeast Agricultural University, Harbin, Heilongjiang 150030, China
| | - Yang Jing
- Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and Rural Affairs, Harbin, Heilongjiang 150030, China; Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department of Heilongjiang Province, Harbin, Heilongjiang 150030, China; College of Animal Science and Technology, Northeast Agricultural University, Harbin, Heilongjiang 150030, China
| | - Li Leng
- Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and Rural Affairs, Harbin, Heilongjiang 150030, China; Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department of Heilongjiang Province, Harbin, Heilongjiang 150030, China; College of Animal Science and Technology, Northeast Agricultural University, Harbin, Heilongjiang 150030, China
| | - Shouzhi Wang
- Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and Rural Affairs, Harbin, Heilongjiang 150030, China; Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department of Heilongjiang Province, Harbin, Heilongjiang 150030, China; College of Animal Science and Technology, Northeast Agricultural University, Harbin, Heilongjiang 150030, China
| | - Yumao Li
- Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and Rural Affairs, Harbin, Heilongjiang 150030, China; Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department of Heilongjiang Province, Harbin, Heilongjiang 150030, China; College of Animal Science and Technology, Northeast Agricultural University, Harbin, Heilongjiang 150030, China
| | - Peng Luan
- Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and Rural Affairs, Harbin, Heilongjiang 150030, China; Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department of Heilongjiang Province, Harbin, Heilongjiang 150030, China; College of Animal Science and Technology, Northeast Agricultural University, Harbin, Heilongjiang 150030, China
| | - Zhiping Cao
- Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and Rural Affairs, Harbin, Heilongjiang 150030, China; Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department of Heilongjiang Province, Harbin, Heilongjiang 150030, China; College of Animal Science and Technology, Northeast Agricultural University, Harbin, Heilongjiang 150030, China
| | - Hui Li
- Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and Rural Affairs, Harbin, Heilongjiang 150030, China; Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department of Heilongjiang Province, Harbin, Heilongjiang 150030, China; College of Animal Science and Technology, Northeast Agricultural University, Harbin, Heilongjiang 150030, China.
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Yang L, Fan X, Tian K, Yan S, Xu C, Tian Y, Xiao C, Jia X, Shi J, Bai Y, Li W. Dynamic Expression Profile of Follicles at Different Stages in High- and Low-Production Laying Hens. Genes (Basel) 2023; 15:40. [PMID: 38254930 PMCID: PMC10815237 DOI: 10.3390/genes15010040] [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: 12/01/2023] [Revised: 12/23/2023] [Accepted: 12/25/2023] [Indexed: 01/24/2024] Open
Abstract
Improving the efficiency of hens and extending the egg-laying cycle require maintaining high egg production in the later stages. The ovarian follicles, as the primary functional units for ovarian development and oocyte maturation, play a crucial role in regulating the continuous ovulation of hens. The egg production rate of laying hens is mostly affected by proper follicle growth and ovulation in the ovaries. The objective of this study was to identify the key genes and signaling pathways involved in the development of ovarian follicles in Taihang hens through transcriptome screening. In this study, RNA sequencing was used to compare and analyze the transcriptomes of ovarian follicles at four developmental stages: small white follicles (SWF), small yellow follicles (SYF), F5 follicles, and F2 follicles, from two groups: the high continual production group (H-Group) and the low continual production group (L-Group). A total of 24 cDNA libraries were constructed, and significant differential expression of 96, 199, 591, and 314 mRNAs was detected in the SWF, SYF, F5, and F2 follicles of the H and L groups, respectively. Based on the results of GO and KEGG enrichment analyses, each stage of follicle growth possesses distinct molecular genetic features, which have important effects on follicle development and significantly promote the formation of continuous production traits through the biosynthesis of steroid hormones, cytokine-cytokine receptor interaction, and neuroactive ligand-receptor interaction. Additionally, through STEM analysis, we identified 59 DEGs, including ZP4, KCNH1, IGFs, HMGA2, and CDH1, potentially associated with follicular development within four significant modules. This study represents the first transcriptome investigation of follicles in hens with high and low egg-producing characteristics at four crucial developmental stages. These findings provide important molecular evidence for understanding the regulation of follicular development and its variations.
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Affiliation(s)
- Lan Yang
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450001, China; (L.Y.); (X.F.); (K.T.); (S.Y.); (C.X.); (C.X.); (X.J.); (J.S.)
| | - Xuewei Fan
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450001, China; (L.Y.); (X.F.); (K.T.); (S.Y.); (C.X.); (C.X.); (X.J.); (J.S.)
| | - Kaiyuan Tian
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450001, China; (L.Y.); (X.F.); (K.T.); (S.Y.); (C.X.); (C.X.); (X.J.); (J.S.)
- The Shennong Laboratory, Zhengzhou 450046, China
| | - Sensen Yan
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450001, China; (L.Y.); (X.F.); (K.T.); (S.Y.); (C.X.); (C.X.); (X.J.); (J.S.)
- The Shennong Laboratory, Zhengzhou 450046, China
| | - Chunhong Xu
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450001, China; (L.Y.); (X.F.); (K.T.); (S.Y.); (C.X.); (C.X.); (X.J.); (J.S.)
- The Shennong Laboratory, Zhengzhou 450046, China
| | - Yixiang Tian
- Henan Institute of Science and Technology, College of Animal Science and Veterinary Medicine, Xinxiang 453003, China;
| | - Chengpeng Xiao
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450001, China; (L.Y.); (X.F.); (K.T.); (S.Y.); (C.X.); (C.X.); (X.J.); (J.S.)
- The Shennong Laboratory, Zhengzhou 450046, China
| | - Xintao Jia
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450001, China; (L.Y.); (X.F.); (K.T.); (S.Y.); (C.X.); (C.X.); (X.J.); (J.S.)
- The Shennong Laboratory, Zhengzhou 450046, China
| | - Junlai Shi
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450001, China; (L.Y.); (X.F.); (K.T.); (S.Y.); (C.X.); (C.X.); (X.J.); (J.S.)
- The Shennong Laboratory, Zhengzhou 450046, China
| | - Ying Bai
- School of Life Science and Food Engineering, Hebei University of Engineering, Handan 056038, China
| | - Wenting Li
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou 450001, China; (L.Y.); (X.F.); (K.T.); (S.Y.); (C.X.); (C.X.); (X.J.); (J.S.)
- The Shennong Laboratory, Zhengzhou 450046, China
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Du X, Zhu Q, Pian H, Yang X, Zhao D, Wu X, He J, Yu D. Transcriptome Analysis of Granulosa Cells Reveals Regulatory Mechanisms Related to Chicken Follicle Development. Animals (Basel) 2023; 14:20. [PMID: 38200750 PMCID: PMC10777934 DOI: 10.3390/ani14010020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2023] [Revised: 12/11/2023] [Accepted: 12/14/2023] [Indexed: 01/12/2024] Open
Abstract
In this study, we aimed to better understand the difference between the functions of the two types of granulosa cells and sought to discover more key genes involved in follicle development and follicle selection. Herein, we separately collected pre-hierarchical follicle granulosa cells (PHGCs) and preovulatory follicle granulosa cells (POGCs) for RNA extraction; the transcriptomes of the two groups were compared via RNA-seq. A total of 5273 differentially expressed genes (DEGs) were identified between the PHGCs and POGCs; 2797 genes were up-regulated and 2476 were down-regulated in the PHGCs compared with the POGCs. A qPCR analysis confirmed that the expression patterns of 16 randomly selected DEGs were highly consistent with the RNA-seq results. In the POGCs, many of the genes with the most significant increase in expression were related to steroid hormone synthesis. In addition, the genes with the most significant decline in expression, including AMH and WT1, were related to the inhibition of steroid hormone synthesis. These results suggest that steroid hormones play a key role in follicle development. Furthermore, a Gene Ontology (GO) analysis revealed that these DEGs were mainly involved in the primary metabolic process, the carbohydrate metabolic process, the cellular process, ribosomes, the cytoplasm, and intracellular processes. A Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis showed that the DEGs were mainly enriched in steroid biosynthesis, the cell cycle, ribosomes, the TGF-beta signaling pathway, focal adhesion, and so on. We also observed the morphology of the follicles at different developmental stages, and the results showed that the thickness of the granular layer of the small yellow follicles (SYFs) decreased significantly with further development. In addition, we also found that the thickness of the granulosa layer of hens over 300 days old was significantly lower than that of 200-day-old hens. In short, these data indicate that the tissue morphology and function of granulosa cells change throughout follicle development.
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Affiliation(s)
- Xubin Du
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science and Technology, Nanjing Agricultural University, Nanjing 210095, China; (X.D.); (Q.Z.); (H.P.); (X.W.); (J.H.)
- Single Molecule Nanometry Laboratory (Sinmolab), Nanjing Agricultural University, Nanjing 210095, China;
| | - Qizhao Zhu
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science and Technology, Nanjing Agricultural University, Nanjing 210095, China; (X.D.); (Q.Z.); (H.P.); (X.W.); (J.H.)
| | - Huifang Pian
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science and Technology, Nanjing Agricultural University, Nanjing 210095, China; (X.D.); (Q.Z.); (H.P.); (X.W.); (J.H.)
| | - Xiaolong Yang
- College of Animal Science, Xizang Agricultural and Animal Husbandry University, Linzhi 860000, China;
| | - Dong Zhao
- Single Molecule Nanometry Laboratory (Sinmolab), Nanjing Agricultural University, Nanjing 210095, China;
| | - Xinyue Wu
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science and Technology, Nanjing Agricultural University, Nanjing 210095, China; (X.D.); (Q.Z.); (H.P.); (X.W.); (J.H.)
| | - Jiawen He
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science and Technology, Nanjing Agricultural University, Nanjing 210095, China; (X.D.); (Q.Z.); (H.P.); (X.W.); (J.H.)
| | - Debing Yu
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science and Technology, Nanjing Agricultural University, Nanjing 210095, China; (X.D.); (Q.Z.); (H.P.); (X.W.); (J.H.)
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Jiang D, Ji C, Kang L, Ling W, Wang Z, Wang X, Niu C, Guo Y, Sun Q, An X, Kang B. Correlation analysis of polyamine metabolism and reproductive hormone levels in goose ovarian follicles. Theriogenology 2023; 210:244-250. [PMID: 37544046 DOI: 10.1016/j.theriogenology.2023.07.026] [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: 03/22/2023] [Revised: 07/11/2023] [Accepted: 07/22/2023] [Indexed: 08/08/2023]
Abstract
To investigate the relationship between polyamine metabolism and reproductive hormones in ovarian follicles of Sichuan white geese, follicle polyamine content and reproductive hormone levels and gene expressions related to polyamine metabolism, steroidogenesis and steroid hormone receptors were detected by HPLC, ELISA and RT-qPCR. The results showed that the overall trend of spermidine and spermine levels increased first and then decreased as increasing follicle size, with the highest level in F3 and F5 follicles (P < 0.05). Putrescine and 17β-estradiol (E2) levels in hierarchical follicles were significantly lower than those in prehierarchical follicles (P < 0.05). Progesterone (P4) first increased and then decreased, with the highest level in the F5 follicle (P < 0.05). The expression levels of estrogen receptor 1 (ER1) showed an overall increase as increasing follicle size (except in F3 follicles), while estrogen receptor 2 (ER2) in hierarchical follicles was significantly lower than that in the prehierarchical follicles (P < 0.05). In addition, the overall expression level of progesterone receptor (PR) decreased, with no significant differences among F1, F2 and F3 follicles (P > 0.05). Yolk putrescine contents were positively correlated with yolk E2 concentrations and PR expression levels (P < 0.05), A significant positive correlation of spermidine levels with yolk P4 concentrations and PR expressions was also observed, as well as the spermine levels with yolk P4 concentrations (P < 0.05). In summary, polyamines were involved in the regulation of follicular development in geese, and this regulation played a role in affecting steroidogenesis and the expression of genes related to hormone receptors.
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Affiliation(s)
- Dongmei Jiang
- State Key Laboratory of Swine and Poultry Breeding Industry, Farm Animal Genetic Resource Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, 611130, China.
| | - Chengweng Ji
- State Key Laboratory of Swine and Poultry Breeding Industry, Farm Animal Genetic Resource Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, 611130, China.
| | - Lijuan Kang
- State Key Laboratory of Swine and Poultry Breeding Industry, Farm Animal Genetic Resource Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, 611130, China.
| | - Weikang Ling
- State Key Laboratory of Swine and Poultry Breeding Industry, Farm Animal Genetic Resource Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, 611130, China.
| | - Zelong Wang
- State Key Laboratory of Swine and Poultry Breeding Industry, Farm Animal Genetic Resource Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, 611130, China.
| | - Xin Wang
- State Key Laboratory of Swine and Poultry Breeding Industry, Farm Animal Genetic Resource Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, 611130, China.
| | - Chunyang Niu
- State Key Laboratory of Swine and Poultry Breeding Industry, Farm Animal Genetic Resource Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, 611130, China.
| | - Yongni Guo
- State Key Laboratory of Swine and Poultry Breeding Industry, Farm Animal Genetic Resource Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, 611130, China.
| | - Qian Sun
- State Key Laboratory of Swine and Poultry Breeding Industry, Farm Animal Genetic Resource Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, 611130, China.
| | - Xiaoguang An
- State Key Laboratory of Swine and Poultry Breeding Industry, Farm Animal Genetic Resource Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, 611130, China.
| | - Bo Kang
- State Key Laboratory of Swine and Poultry Breeding Industry, Farm Animal Genetic Resource Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, 611130, China.
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8
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Song X, Wang D, Zhou Y, Sun Y, Ao X, Hao R, Gao M, Xu Y, Li P, Jia C, Wei Z. Yolk precursor synthesis and deposition in hierarchical follicles and effect on egg production performance of hens. Poult Sci 2023; 102:102756. [PMID: 37236035 DOI: 10.1016/j.psj.2023.102756] [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: 01/18/2023] [Revised: 04/20/2023] [Accepted: 04/24/2023] [Indexed: 05/28/2023] Open
Abstract
Egg production of hens is related to ovarian follicles development. The hierarchical follicle development accompanies the deposition of a large amount of yolk precursor. The aim of this study was to illustrate the effects of strain and age on yolk deposition and egg production. The experiment compared yolk synthesis, transport, and deposition in 3 groups of hens: one of a high-yield commercial hybrid laying breed (Jinghong No.1) in 2 stages (35 wk and 75 wk; JH35, JH75) and one of Chinese native breed (Lueyang Black-Boned chicken) at 35 wk (LY35). The results showed that the number of hierarchical follicles in JH35 and JH75 was significantly more than in LY35. At the same time, the yolk weight of the LY35 and JH75 was significantly higher than that of JH35. The expression of apolipoprotein A1 and apolipoprotein B genes in the liver of JH35 was higher than that of JH75. The expression of the very low-density lipoprotein receptor gene in the JH75 ovary was higher than that of the other 2 groups. The plasma concentrations of very low-density lipoprotein and vitellogenin were no significant difference among groups. The yolk deposition in hierarchical follicles based on the fat-soluble dyes measurement meant that the rate of yolk deposition of LY35 was lower than the other 2 groups. In most cases, the yolk deposition of JH75 was higher than that of the other groups, but the process showed greater fluctuation over time. These results meant that the rate and stability of yolk deposition played an essential role in affecting egg performance. In summary, both strain and age were related to egg production, but the 2 factors might impact yolk deposition and egg-laying performance differently. The egg performance may be affected by both yolk precursor synthesis and deposition for different strains, but it may be affected by yolk precursor deposition for the old laying hens.
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Affiliation(s)
- Xinru Song
- College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Dan Wang
- College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Yang Zhou
- College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Yifang Sun
- College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Xianpei Ao
- College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Ruidong Hao
- College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Mengyu Gao
- College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Yijing Xu
- College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Pengcheng Li
- College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Cunling Jia
- College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Zehui Wei
- College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi 712100, China.
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Ning Z, Deng X, Li L, Feng J, Du X, Amevor FK, Tian Y, Li L, Rao Y, Yi Z, Du X, Cui Z, Zhao X. miR-128-3p regulates chicken granulosa cell function via 14-3-3β/FoxO and PPAR-γ/LPL signaling pathways. Int J Biol Macromol 2023; 241:124654. [PMID: 37119902 DOI: 10.1016/j.ijbiomac.2023.124654] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2023] [Revised: 04/23/2023] [Accepted: 04/24/2023] [Indexed: 05/01/2023]
Abstract
MicroRNAs (miRNAs) are class of 22 nt short RNA sequences which inhibit protein translation through binding to the 3'UTR of its target genes. The continuous ovulatory property of chicken follicle makes it a perfect model for studying granulosa cell (GC) functions. In this study, we found that large number of miRNAs including miR-128-3p, were differentially expressed in the GCs of F1 and F5 follicles of chicken. Subsequently, the results revealed that miR-128-3p inhibited proliferation, the formation of lipid droplets, and hormone secretion in chicken primary GCs through directly targeting YWHAB and PPAR-γ genes. To determine the effects of 14-3-3β (encoded by YWHAB) protein on GCs functions, we overexpressed or inhibited the expression of YWHAB, and the results showed that YWHAB inhibited the function of FoxO proteins. Collectively, we found that miR-128-3p was highly expressed in the chicken F1 follicles compared to the F5 follicles. In addition, the results indicated that miR-128-3p promoted GC apoptosis through 14-3-3β/FoxO pathway via repressing YWHAB, and inhibited lipid synthesis by impeding the PPAR-γ/LPL pathway, as well as reduced the secretion of progesterone and estrogen. Taken together, the results showed that miR-128-3p plays a regulatory role in chicken granulosa cell function via 14-3-3β/FoxO and PPAR-γ/LPL signaling pathways.
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Affiliation(s)
- Zifan Ning
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, PR China; Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, College of Animal Science and Technology (Institute of Animal Genetics and Breeding), Sichuan Agricultural University, PR China
| | - Xun Deng
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, PR China; Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, College of Animal Science and Technology (Institute of Animal Genetics and Breeding), Sichuan Agricultural University, PR China
| | - Liang Li
- Institute of Animal Husbandry and Veterinary Medicine, Guizhou Provincial Academy of Agricultural Sciences, Guiyang, PR China
| | - Jing Feng
- Institute of Animal Husbandry and Veterinary Medicine, College of Agriculture and Animal Husbandry of Tibet Autonomous Region, Lhasa, PR China
| | - Xiaxia Du
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, PR China; Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, College of Animal Science and Technology (Institute of Animal Genetics and Breeding), Sichuan Agricultural University, PR China
| | - Felix Kwame Amevor
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, PR China; Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, College of Animal Science and Technology (Institute of Animal Genetics and Breeding), Sichuan Agricultural University, PR China
| | - Yaofu Tian
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, PR China; Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, College of Animal Science and Technology (Institute of Animal Genetics and Breeding), Sichuan Agricultural University, PR China
| | - Lingxiang Li
- Bazhong Academy of Agriculture and Forestry Sciences, Bazhong, PR China
| | - Yong Rao
- Bazhong Academy of Agriculture and Forestry Sciences, Bazhong, PR China
| | - Zhixin Yi
- Bazhong Academy of Agriculture and Forestry Sciences, Bazhong, PR China
| | - Xiaohui Du
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, PR China; Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, College of Animal Science and Technology (Institute of Animal Genetics and Breeding), Sichuan Agricultural University, PR China
| | - Zhifu Cui
- College of Animal Science and Technology, Southwest University, Chongqing, PR China.
| | - Xiaoling Zhao
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, PR China; Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, College of Animal Science and Technology (Institute of Animal Genetics and Breeding), Sichuan Agricultural University, PR China.
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10
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Li D, Zhong C, Sun Y, Kang L, Jiang Y. Identification of genes involved in chicken follicle selection by ONT sequencing on granulosa cells. Front Genet 2023; 13:1090603. [PMID: 36712880 PMCID: PMC9877231 DOI: 10.3389/fgene.2022.1090603] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2022] [Accepted: 12/27/2022] [Indexed: 01/15/2023] Open
Abstract
In chickens, follicle selection is an important process affecting laying traits, which is characterized by the differentiation of granulosa cells and the synthesis of progesterone by granulosa cells from hierarchical follicles. By using Oxford Nanopore Technologies (ONT) approach, we compared the transcriptomes of granulosa cells between pre-hierarchical (Pre-GCs) and hierarchical follicles (Post-GCs) to identify genes underlying chicken follicle selection. A total of 2,436 differentially expressed genes (DEGs), 3,852 differentially expressed transcripts (DETs) and 925 differentially expressed lncRNA transcripts were identified between chicken Pre-GCs and Post-GCs. For all of the significant DETs, the alternative 3'splice sites (A3) accounted for a maximum of 23.74% of all alternative splicing events. Three DETs of the 7-dehydrocholesterol reductase gene (DHCR7) named as T1, T3, and T4, differing in 5'untranslated regions (UTRs), increased in Post-GCs with different folds (T1: 1.83, T3: 2.42, T4: 5.06). The expression of the three DHCR7 transcripts was upregulated by estrogen in a dose-dependent manner, while was downregulated by bone morphogenetic protein 15 (BMP15) and transforming growth factor-beta 1 (TGF-β1). Follicle-stimulating hormone (FSH) and bone morphogenetic protein 4 (BMP4) promoted the expression of the three DHCR7 transcripts in Pre-GCs at lower concentrations, while repressed their expression at higher concentrations. The data from this study may provide a reference for better understanding of the genetic mechanisms underlying follicle selection in chicken and other poultry species.
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Affiliation(s)
- Dandan Li
- Shandong Provincial Key Laboratory of Animal Biotechnology and Disease Control and Prevention, College of Animal Science and Veterinary Medicine, Shandong Agricultural University, Tai’an, China
| | - Conghao Zhong
- College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Yi Sun
- Shandong Provincial Key Laboratory of Animal Biotechnology and Disease Control and Prevention, College of Animal Science and Veterinary Medicine, Shandong Agricultural University, Tai’an, China
| | - Li Kang
- Shandong Provincial Key Laboratory of Animal Biotechnology and Disease Control and Prevention, College of Animal Science and Veterinary Medicine, Shandong Agricultural University, Tai’an, China
| | - Yunliang Jiang
- Shandong Provincial Key Laboratory of Animal Biotechnology and Disease Control and Prevention, College of Animal Science and Veterinary Medicine, Shandong Agricultural University, Tai’an, China,*Correspondence: Yunliang Jiang,
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11
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Zhou X, Jiang D, Zhang Z, Shen X, Pan J, Xu D, Tian Y, Huang Y. Expression of GnIH and its effects on follicle development and steroidogenesis in quail ovaries under different photoperiods. Poult Sci 2022; 101:102227. [PMID: 36334429 PMCID: PMC9627100 DOI: 10.1016/j.psj.2022.102227] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2022] [Revised: 09/27/2022] [Accepted: 09/29/2022] [Indexed: 11/21/2022] Open
Abstract
Photoperiod is an important environmental factor that influence seasonal reproduction behavior in bird and GnIH can play a function in this process through the reproductive axis, and some studies suggest that GnIH may have a direct role at the gonadal level. To investigate the expression of GnIH and its effects on follicle development and steroidogenesis in quail ovaries under different photoperiods, 72 healthy laying quails of 8-wk-old were randomly divided into long day (LD) group [16 light (L): 8 dark (D)] (n = 36) and short day (SD) group (8L:16D) (n = 36). Samples were collected from each group on d1, d11, d22, and d36 of the experiment. The result showed that short day treatment upregulated the level of GnIH in the gonads (P < 0.05), decreased the expression level of CYP19A1,3β-HSD, StAR, LHR, and FSHR and increased the expression level of AMH, AMHR2, GDF9, and BMP15 to inhibit follicle development and ovulation, thus affecting the egg production performance of quails. In vitro culture of quail granulosa cells and treatment with different concentrations of GnIH (0, 1, 10, and 100 ng/mL) for 24 h. Result showed that GnIH inhibited the levels of FSHR, LHR, and steroid synthesis pathways in granulosa cells, upregulated the levels of AMHR2, GDF9, and BMP15. The results suggest that the inhibition of follicle development and reduced egg production in quail by short day treatment is due to GnIH acting at the gonadal level, and GnIH affected the steroid synthesis by inhibiting gonadotropin receptors.
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Affiliation(s)
- Xiaoli Zhou
- Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China,Guangdong Key Laboratory of Waterfowl Health Breeding, Guangzhou 510225, China
| | - Danli Jiang
- Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China,Guangdong Key Laboratory of Waterfowl Health Breeding, Guangzhou 510225, China
| | - Zhuoshen Zhang
- Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China,Guangdong Key Laboratory of Waterfowl Health Breeding, Guangzhou 510225, China
| | - Xu Shen
- Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China,Guangdong Key Laboratory of Waterfowl Health Breeding, Guangzhou 510225, China
| | - Jianqiu Pan
- Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China,Guangdong Key Laboratory of Waterfowl Health Breeding, Guangzhou 510225, China
| | - Danning Xu
- Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China,Guangdong Key Laboratory of Waterfowl Health Breeding, Guangzhou 510225, China
| | - Yunbo Tian
- Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China,Guangdong Key Laboratory of Waterfowl Health Breeding, Guangzhou 510225, China
| | - Yunmao Huang
- Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China,Guangdong Key Laboratory of Waterfowl Health Breeding, Guangzhou 510225, China,Corresponding author:
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12
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Nie R, Zheng X, Zhang W, Zhang B, Ling Y, Zhang H, Wu C. Morphological Characteristics and Transcriptome Landscapes of Chicken Follicles during Selective Development. Animals (Basel) 2022; 12:ani12060713. [PMID: 35327110 PMCID: PMC8944860 DOI: 10.3390/ani12060713] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2022] [Revised: 03/07/2022] [Accepted: 03/09/2022] [Indexed: 01/27/2023] Open
Abstract
Ovarian follicle selection largely depends on the transition of granulosa cells from an undifferentiated to a fully differentiated state, which is accompanied by morphological and functional changes in follicles. The processes and transcriptional regulation of follicles during follicle selection are unclear; we thus used follicles from the prehierarchal to the hierarchal stage to investigate histology, reproductive endocrinology, and transcription. The morphology of follicles changed markedly during follicle selection. The numbers of large white, small yellow, and large yellow follicles (LWF, SYF, and LYF, respectively) were 11.83 ± 2.79, 6.83 ± 2.23, and 1.00, respectively, per ovary. LYF showed thicker granulosa cell layers than those of other prehierarchal follicles. Progesterone concentrations were significantly higher in LYF than that in LWF and SYF. In total, 16,823 genes were positively expressed in LWF, SYF, and LYF. Among follicle types, 1,290 differentially expressed genes were enriched regarding cell differentiation, blood vessel morphogenesis, and response to steroid hormones. Candidate genes associated with follicle selection participated in the Wnt signaling pathway, steroid hormone biosynthesis, and the TGF-β signaling pathway. We produced insights into crucial morphological characteristics of transcriptional regulation in follicle development. Our results provide an important basis for revealing the mechanism of follicle selection and potential impact on the poultry industry.
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Affiliation(s)
- Ruixue Nie
- National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China; (R.N.); (X.Z.); (W.Z.); (B.Z.); (Y.L.); (C.W.)
| | - Xiaotong Zheng
- National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China; (R.N.); (X.Z.); (W.Z.); (B.Z.); (Y.L.); (C.W.)
- School of Biotechnology, Jiangsu University of Science and Technology, Zhenjiang 212100, China
| | - Wenhui Zhang
- National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China; (R.N.); (X.Z.); (W.Z.); (B.Z.); (Y.L.); (C.W.)
| | - Bo Zhang
- National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China; (R.N.); (X.Z.); (W.Z.); (B.Z.); (Y.L.); (C.W.)
| | - Yao Ling
- National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China; (R.N.); (X.Z.); (W.Z.); (B.Z.); (Y.L.); (C.W.)
| | - Hao Zhang
- National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China; (R.N.); (X.Z.); (W.Z.); (B.Z.); (Y.L.); (C.W.)
- Correspondence:
| | - Changxin Wu
- National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China; (R.N.); (X.Z.); (W.Z.); (B.Z.); (Y.L.); (C.W.)
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