Transcriptome profile of goat folliculogenesis reveals the interaction of oocyte and granulosa cell in correlation with different fertility population

Abstract To understand the molecular and genetic mechanisms related to the litter size in one species of two different populations (high litter size and low litter size), we performed RNA-seq for the oocytes and granulosa cells (GCs) at different developmental stages of follicle, and identified the...

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Autores principales: Shen Li, Junjie Wang, Hongfu Zhang, Dongxue Ma, Minghui Zhao, Na Li, Yuhao Men, Yuan Zhang, Huimin Chu, Chuzhao Lei, Wei Shen, Othman El-Mahdy Othman, Yong Zhao, Lingjiang Min
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spelling oai:doaj.org-article:aec90f8d9faa4978838308402079a4a62021-12-02T14:53:42ZTranscriptome profile of goat folliculogenesis reveals the interaction of oocyte and granulosa cell in correlation with different fertility population10.1038/s41598-021-95215-z2045-2322https://doaj.org/article/aec90f8d9faa4978838308402079a4a62021-08-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-95215-zhttps://doaj.org/toc/2045-2322Abstract To understand the molecular and genetic mechanisms related to the litter size in one species of two different populations (high litter size and low litter size), we performed RNA-seq for the oocytes and granulosa cells (GCs) at different developmental stages of follicle, and identified the interaction of genes from both sides of follicle (oocyte and GCs) and the ligand-receptor pairs from these two sides. Our data were very comprehensive to uncover the difference between these two populations regarding the folliculogenesis. First, we identified a set of potential genes in oocyte and GCs as the marker genes which can be used to determine the goat fertility capability and ovarian reserve ability. The data showed that GRHPR, GPR84, CYB5A and ERAL1 were highly expressed in oocyte while JUNB, SCN2A, MEGE8, ZEB2, EGR1and PRRC2A were highly expressed in GCs. We found more functional genes were expressed in oocytes and GCs in high fertility group (HL) than that in low fertility group (LL). We uncovered that ligand-receptor pairs in Notch signaling pathway and transforming growth factor-β (TGF-β) superfamily pathways played important roles in goat folliculogenesis for the different fertility population. Moreover, we discovered that the correlations of the gene expression in oocytes and GCs at different stages in the two populations HL and LL were different, too. All the data reflected the gene expression landscape in oocytes and GCs which was correlated well with the fertility capability.Shen LiJunjie WangHongfu ZhangDongxue MaMinghui ZhaoNa LiYuhao MenYuan ZhangHuimin ChuChuzhao LeiWei ShenOthman El-Mahdy OthmanYong ZhaoLingjiang MinNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-14 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Shen Li
Junjie Wang
Hongfu Zhang
Dongxue Ma
Minghui Zhao
Na Li
Yuhao Men
Yuan Zhang
Huimin Chu
Chuzhao Lei
Wei Shen
Othman El-Mahdy Othman
Yong Zhao
Lingjiang Min
Transcriptome profile of goat folliculogenesis reveals the interaction of oocyte and granulosa cell in correlation with different fertility population
description Abstract To understand the molecular and genetic mechanisms related to the litter size in one species of two different populations (high litter size and low litter size), we performed RNA-seq for the oocytes and granulosa cells (GCs) at different developmental stages of follicle, and identified the interaction of genes from both sides of follicle (oocyte and GCs) and the ligand-receptor pairs from these two sides. Our data were very comprehensive to uncover the difference between these two populations regarding the folliculogenesis. First, we identified a set of potential genes in oocyte and GCs as the marker genes which can be used to determine the goat fertility capability and ovarian reserve ability. The data showed that GRHPR, GPR84, CYB5A and ERAL1 were highly expressed in oocyte while JUNB, SCN2A, MEGE8, ZEB2, EGR1and PRRC2A were highly expressed in GCs. We found more functional genes were expressed in oocytes and GCs in high fertility group (HL) than that in low fertility group (LL). We uncovered that ligand-receptor pairs in Notch signaling pathway and transforming growth factor-β (TGF-β) superfamily pathways played important roles in goat folliculogenesis for the different fertility population. Moreover, we discovered that the correlations of the gene expression in oocytes and GCs at different stages in the two populations HL and LL were different, too. All the data reflected the gene expression landscape in oocytes and GCs which was correlated well with the fertility capability.
format article
author Shen Li
Junjie Wang
Hongfu Zhang
Dongxue Ma
Minghui Zhao
Na Li
Yuhao Men
Yuan Zhang
Huimin Chu
Chuzhao Lei
Wei Shen
Othman El-Mahdy Othman
Yong Zhao
Lingjiang Min
author_facet Shen Li
Junjie Wang
Hongfu Zhang
Dongxue Ma
Minghui Zhao
Na Li
Yuhao Men
Yuan Zhang
Huimin Chu
Chuzhao Lei
Wei Shen
Othman El-Mahdy Othman
Yong Zhao
Lingjiang Min
author_sort Shen Li
title Transcriptome profile of goat folliculogenesis reveals the interaction of oocyte and granulosa cell in correlation with different fertility population
title_short Transcriptome profile of goat folliculogenesis reveals the interaction of oocyte and granulosa cell in correlation with different fertility population
title_full Transcriptome profile of goat folliculogenesis reveals the interaction of oocyte and granulosa cell in correlation with different fertility population
title_fullStr Transcriptome profile of goat folliculogenesis reveals the interaction of oocyte and granulosa cell in correlation with different fertility population
title_full_unstemmed Transcriptome profile of goat folliculogenesis reveals the interaction of oocyte and granulosa cell in correlation with different fertility population
title_sort transcriptome profile of goat folliculogenesis reveals the interaction of oocyte and granulosa cell in correlation with different fertility population
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/aec90f8d9faa4978838308402079a4a6
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