Transcriptome Profiling of Goose Ovarian Follicle Granulosa Cells Reveals Key Regulatory Networks for Follicle Selection
The selection of follicles determines the reproductive performance of birds, but the process of follicle selection in geese is still elusive. This study focuses on Yangzhou geese during the egg-laying period and divides the follicular development process into three stages: small follicle development...
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| Format: | Article |
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MDPI AG
2023-06-01
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| Series: | Animals |
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| Online Access: | https://www.mdpi.com/2076-2615/13/13/2132 |
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| author | Jie Liu Shudi Dai Zichun Dai Yuyan Feng Mingming Lei Rong Chen Huanxi Zhu |
| author_facet | Jie Liu Shudi Dai Zichun Dai Yuyan Feng Mingming Lei Rong Chen Huanxi Zhu |
| author_sort | Jie Liu |
| collection | DOAJ |
| description | The selection of follicles determines the reproductive performance of birds, but the process of follicle selection in geese is still elusive. This study focuses on Yangzhou geese during the egg-laying period and divides the follicular development process into three stages: small follicle development, follicle selection, and follicle maturation. Transcriptome sequencing was performed on granulosa cells from large white follicles, small yellow follicles, and F5 and F4 follicles. In addition, we selected the transcripts that remained unchanged during the development and maturation of small follicles but significantly changed during the follicular selection stage as the transcript collection that plays an important role in the follicular selection process. Then, we performed functional analysis on these transcripts and constructed a ceRNA network. The results showed that during the follicular selection stage, the number of differentially expressed mRNAs, miRNAs, and lncRNAs was the highest. In addition, miR-222-3p, miR-2954-3p, miR-126-5p, miR-2478, and miR-425-5p are potential key core regulatory molecules in the selection stage of goose follicles. These results can provide a reference for a better understanding of the basic mechanisms of the goose follicle selection process and potential targets for the precise regulation of goose egg production performance. |
| first_indexed | 2024-03-11T01:48:28Z |
| format | Article |
| id | doaj.art-cd7a3d863b5644dbafa85afeb00701f9 |
| institution | Directory Open Access Journal |
| issn | 2076-2615 |
| language | English |
| last_indexed | 2024-03-11T01:48:28Z |
| publishDate | 2023-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Animals |
| spelling | doaj.art-cd7a3d863b5644dbafa85afeb00701f92023-11-18T16:03:27ZengMDPI AGAnimals2076-26152023-06-011313213210.3390/ani13132132Transcriptome Profiling of Goose Ovarian Follicle Granulosa Cells Reveals Key Regulatory Networks for Follicle SelectionJie Liu0Shudi Dai1Zichun Dai2Yuyan Feng3Mingming Lei4Rong Chen5Huanxi Zhu6Institute of Animal Science, Jiangsu Academy of Agricultural Sciences, Nanjing 210014, ChinaSchool of Life Science, Jiangsu University, Zhenjiang 212000, ChinaInstitute of Animal Science, Jiangsu Academy of Agricultural Sciences, Nanjing 210014, ChinaKey Laboratory of Animal Physiology & Biochemistry, Nanjing Agricultural University, Nanjing 210095, ChinaInstitute of Animal Science, Jiangsu Academy of Agricultural Sciences, Nanjing 210014, ChinaInstitute of Animal Science, Jiangsu Academy of Agricultural Sciences, Nanjing 210014, ChinaInstitute of Animal Science, Jiangsu Academy of Agricultural Sciences, Nanjing 210014, ChinaThe selection of follicles determines the reproductive performance of birds, but the process of follicle selection in geese is still elusive. This study focuses on Yangzhou geese during the egg-laying period and divides the follicular development process into three stages: small follicle development, follicle selection, and follicle maturation. Transcriptome sequencing was performed on granulosa cells from large white follicles, small yellow follicles, and F5 and F4 follicles. In addition, we selected the transcripts that remained unchanged during the development and maturation of small follicles but significantly changed during the follicular selection stage as the transcript collection that plays an important role in the follicular selection process. Then, we performed functional analysis on these transcripts and constructed a ceRNA network. The results showed that during the follicular selection stage, the number of differentially expressed mRNAs, miRNAs, and lncRNAs was the highest. In addition, miR-222-3p, miR-2954-3p, miR-126-5p, miR-2478, and miR-425-5p are potential key core regulatory molecules in the selection stage of goose follicles. These results can provide a reference for a better understanding of the basic mechanisms of the goose follicle selection process and potential targets for the precise regulation of goose egg production performance.https://www.mdpi.com/2076-2615/13/13/2132goosefollicle selectiongranulosa celltranscriptome profilingconstructingceRNA network |
| spellingShingle | Jie Liu Shudi Dai Zichun Dai Yuyan Feng Mingming Lei Rong Chen Huanxi Zhu Transcriptome Profiling of Goose Ovarian Follicle Granulosa Cells Reveals Key Regulatory Networks for Follicle Selection Animals goose follicle selection granulosa cell transcriptome profiling constructing ceRNA network |
| title | Transcriptome Profiling of Goose Ovarian Follicle Granulosa Cells Reveals Key Regulatory Networks for Follicle Selection |
| title_full | Transcriptome Profiling of Goose Ovarian Follicle Granulosa Cells Reveals Key Regulatory Networks for Follicle Selection |
| title_fullStr | Transcriptome Profiling of Goose Ovarian Follicle Granulosa Cells Reveals Key Regulatory Networks for Follicle Selection |
| title_full_unstemmed | Transcriptome Profiling of Goose Ovarian Follicle Granulosa Cells Reveals Key Regulatory Networks for Follicle Selection |
| title_short | Transcriptome Profiling of Goose Ovarian Follicle Granulosa Cells Reveals Key Regulatory Networks for Follicle Selection |
| title_sort | transcriptome profiling of goose ovarian follicle granulosa cells reveals key regulatory networks for follicle selection |
| topic | goose follicle selection granulosa cell transcriptome profiling constructing ceRNA network |
| url | https://www.mdpi.com/2076-2615/13/13/2132 |
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