AUTHOR=Ghafouri Farzad , Sadeghi Mostafa , Bahrami Abolfazl , Naserkheil Masoumeh , Dehghanian Reyhan Vahid , Javanmard Arash , Miraei-Ashtiani Seyed Reza , Ghahremani Soheila , Barkema Herman W. , Abdollahi-Arpanahi Rostam , Kastelic John P. 

TITLE=Construction of a circRNA– lincRNA–lncRNA–miRNA–mRNA ceRNA regulatory network identifies genes and pathways linked to goat fertility

JOURNAL=Frontiers in Genetics

VOLUME=14

YEAR=2023

URL=https://www.frontiersin.org/journals/genetics/articles/10.3389/fgene.2023.1195480

DOI=10.3389/fgene.2023.1195480

ISSN=1664-8021

ABSTRACT=<p><bold>Background:</bold> There is growing interest in the genetic improvement of fertility traits in female goats. With high-throughput genotyping, single-cell RNA sequencing (scRNA-seq) is a powerful tool for measuring gene expression profiles. The primary objective was to investigate comparative transcriptome profiling of granulosa cells (GCs) of high- and low-fertility goats, using scRNA-seq.</p><p><bold>Methods:</bold> Thirty samples from Ji’ning Gray goats (<italic>n</italic> = 15 for high fertility and <italic>n</italic> = 15 for low fertility) were retrieved from publicly available scRNA-seq data. Functional enrichment analysis and a literature mining approach were applied to explore modules and hub genes related to fertility. Then, interactions between types of RNAs identified were predicted, and the ceRNA regulatory network was constructed by integrating these interactions with other gene regulatory networks (GRNs).</p><p><bold>Results and discussion:</bold> Comparative transcriptomics-related analyses identified 150 differentially expressed genes (DEGs) between high- and low-fertility groups, based on the fold change (≥5 and ≤−5) and false discovery rate (FDR &lt;0.05). Among these genes, 80 were upregulated and 70 were downregulated. In addition, 81 mRNAs, 58 circRNAs, 8 lincRNAs, 19 lncRNAs, and 55 miRNAs were identified by literature mining. Furthermore, we identified 18 hub genes (<italic>SMAD1</italic>, <italic>SMAD2</italic>, <italic>SMAD3</italic>, <italic>SMAD4</italic>, <italic>TIMP1</italic>, <italic>ERBB2</italic>, <italic>BMP15</italic>, <italic>TGFB1</italic>, <italic>MAPK3</italic>, <italic>CTNNB1</italic>, <italic>BMPR2</italic>, <italic>AMHR2</italic>, <italic>TGFBR2</italic>, <italic>BMP4</italic>, <italic>ESR1</italic>, <italic>BMPR1B</italic>, <italic>AR</italic>, and <italic>TGFB2</italic>) involved in goat fertility. Identified biological networks and modules were mainly associated with ovary signature pathways. In addition, KEGG enrichment analysis identified regulating pluripotency of stem cells, cytokine–cytokine receptor interactions, ovarian steroidogenesis, oocyte meiosis, progesterone-mediated oocyte maturation, parathyroid and growth hormone synthesis, cortisol synthesis and secretion, and signaling pathways for prolactin, TGF-beta, Hippo, MAPK, PI3K-Akt, and FoxO. Functional annotation of identified DEGs implicated important biological pathways. These findings provided insights into the genetic basis of fertility in female goats and are an impetus to elucidate molecular ceRNA regulatory networks and functions of DEGs underlying ovarian follicular development.</p>