Integrated transcriptomic analysis on small yellow follicles reveals that sosondowah ankyrin repeat domain family member A inhibits chicken follicle selection
1
조회
0
다운로드
0
인용
0
참고문헌
키워드
초록
Objective: Follicle selection is an important process in chicken egg laying. Among several small yellow (SY) follicles, the one exhibiting the highest expression of follicle stimulation hormone receptor (<i>FSHR</i>) will be selected to become a hierarchal follicle. The role of lncRNA, miRNA and other non-coding RNA in chicken follicle selection is unclear. Methods: In this study, the whole transcriptome sequencing of SY follicles with different expression levels of <i>FSHR</i> in Jining Bairi hens was performed, and the expression of 30 randomly selected mRNAs, lncRNAs and miRNAs was validated by quantitative real-time polymerase chain reaction. Preliminary studies and bioinformatics analysis were performed on the selected mRNA, lncRNA, miRNA and their target genes. The effect of identified gene was examined in the granulosa cells of chicken follicles. Results: Integrated transcriptomic analysis on chicken SY follicles differing in <i>FSHR</i> expression revealed 467 differentially expressed mRNA genes, 134 differentially expressed lncRNA genes and 34 differentially expressed miRNA genes, and sosondowah ankyrin repeat domain family member A (<i>SOWAHA</i>) was the common target gene of three miRNAs and one lncRNA. <i>SOWAHA</i> was mainly expressed in small white (SW) and SY follicles and was affected by follicle stimulation hormone (FSH) treatment in the granulosa cells. Knockdown of <i>SOWAHA</i> inhibited the expression of Wnt family member 4 (<i>Wnt4</i>) and steroidogenic acute regulatory protein (<i>StAR</i>) in the granulosa cells of prehierarchal follicles, while stimulated <i>Wnt4</i> in hierarchal follicles. Overexpression of <i>SOWAHA</i> increased the expression of <i>Wnt4</i> in the granulosa cells of prehierarchal follicles, decreased that of <i>StAR</i> and cytochrome P450 family 11 subfamily A member 1 in the granulosa cells of hierarchal follicles and inhibited the proliferation of granulosa cells. Conclusion: Integrated analysis of chicken SY follicle transcriptomes identified <i>SOWAHA</i> as a network gene that is affected by FSH in granulosa cells of ovarian follicles. <i>SOWAHA</i> affected the expression of genes involved in chicken follicle selection and inhibited the proliferation of granulosa cells, suggesting an inhibitory role in chicken follicle selection.
Abstract
Objective: Follicle selection is an important process in chicken egg laying. Among several small yellow (SY) follicles, the one exhibiting the highest expression of follicle stimulation hormone receptor (FSHR) will be selected to become a hierarchal follicle. The role of lncRNA, miRNA and other non-coding RNA in chicken follicle selection is unclear. Methods: In this study, the whole transcriptome sequencing of SY follicles with different expression levels of FSHR in Jining Bairi hens was performed, and the expression of 30 randomly selected mRNAs, lncRNAs and miRNAs was validated by quantitative real-time polymerase chain reaction. Preliminary studies and bioinformatics analysis were performed on the selected mRNA, lncRNA, miRNA and their target genes. The effect of identified gene was examined in the granulosa cells of chicken follicles. Results: Integrated transcriptomic analysis on chicken SY follicles differing in FSHR expression revealed 467 differentially expressed mRNA genes, 134 differentially expressed lncRNA genes and 34 differentially expressed miRNA genes, and sosondowah ankyrin repeat domain family member A (SOWAHA) was the common target gene of three miRNAs and one lncRNA. SOWAHA was mainly expressed in small white (SW) and SY follicles and was affected by follicle stimulation hormone (FSH) treatment in the granulosa cells. Knockdown of SOWAHA inhibited the expression of Wnt family member 4 (Wnt4) and steroidogenic acute regulatory protein (StAR) in the granulosa cells of prehierarchal follicles, while stimulated Wnt4 in hierarchal follicles. Overexpression of SOWAHA increased the expression of Wnt4 in the granulosa cells of prehierarchal follicles, decreased that of StAR and cytochrome P450 family 11 subfamily A member 1 in the granulosa cells of hierarchal follicles and inhibited the proliferation of granulosa cells. Conclusion: Integrated analysis of chicken SY follicle transcriptomes identified SOWAHA as a network gene that is affected by FSH in granulosa cells of ovarian follicles. SOWAHA affected the expression of genes involved in chicken follicle selection and inhibited the proliferation of granulosa cells, suggesting an inhibitory role in chicken follicle selection.
참고문헌 (16)
- Johnson AL, "Ovarian follicle selection and granulosa cell differentiation", Poult Sci, 94, pp.781~785 (2015)[DOI]
- Woods DC, "Regulation of follicle-stimulating hormone-receptor messenger RNA in hen granulosa cells relative to follicle selection", Biol Reprod, 72, pp.643~650 (2005)[DOI]
- Kang L, "Identification of miRNAs associated with sexual maturity in chicken ovary by Illumina small RNA deep sequencing", BMC Genomics, 14, pp.352~ (2013)[DOI]
- Wang Y, "Transcriptome analysis on single small yellow follicles reveals that Wnt4 is involved in chicken follicle selection", Front Endocrinol, 15, pp.317~ (2017)[DOI]
- Cheng CY, "Functional genomics study of acute heat stress response in the small yellow follicles of layer-type chickens", Sci Rep, 8, pp.1320~ (2018)[DOI]
- Jing R, "A transcriptomic comparison of theca and granulosa cells in chicken and cattle follicles reveals ESR2 as a potential regulator of CYP19A1 expression in the theca cells of chicken follicles", Comp Biochem Physiol Part D Genomics Proteomics, 27, pp.40~53 (2018)[DOI]
- Fan Y, "Profiling of RNA N6-methyladenosine methylation during follicle selection in chicken ovary", Poult Sci, 98, pp.6117~6124 (2019)[DOI]
- Chen Q, "Transcriptomic and proteomic analyses of ovarian follicles reveal the role of VLDLR in chicken follicle selection", BMC Genomics, 21, pp.486~ (2020)[DOI]
- Fabian MR, "Regulation of mRNA translation and stability by microRNAs", Annu Rev Biochem, 79, pp.351~379 (2010)[DOI]
- Gil N, "Regulation of gene expression by cis-acting long non-coding RNAs", Nat Rev Genet, 21, pp.102~117 (2020)[DOI]
- Livak KJ, "Analysis of relative gene expression data using real-time quantitative PCR and the 2-ΔΔCT method", Methods, 25, pp.402~408 (2001)[DOI]
- Maeso I, "An ancient genomic regulatory block conserved across bilaterians and its dismantling in tetrapods by retrogene replacement", Genome Res, 22, pp.642~655 (2012)[DOI]
- Brass AL, "Identification of host proteins required for HIV infection through a functional genomic screen", Science, 319, pp.921~926 (2008)[DOI]
- Tucker ES, "Molecular specification and patterning of progenitor cells in the lateral and medial ganglionic eminences", J Neurosci, 28, pp.9504~9518 (2008)[DOI]
- Yoshitake R, "Molecular investigation of the direct anti-tumour effects of nonsteroidal antiinflammatory drugs in a panel of canine cancer cell lines", Vet J, 221, pp.38~47 (2017)[DOI]
- Johnson AL, "Relationship between steroidogenic acute regulatory protein expression and progesterone production in hen granulosa cells during follicle development", Biol Reprod, 67, pp.1313~1320 (2002)[DOI]
