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利用 RNA-Seq 技术鉴定发情前期和发情期猪卵巢中的差异表达基因。

Identification of Differentially Expressed Genes in Porcine Ovaries at Proestrus and Estrus Stages Using RNA-Seq Technique.

机构信息

College of Animal Science and Technology, Zhejiang A&F University, Lin'an, Zhejiang 311300, China.

出版信息

Biomed Res Int. 2018 Feb 14;2018:9150723. doi: 10.1155/2018/9150723. eCollection 2018.

Abstract

Estrus is an important factor for the fecundity of sows, and it is involved in ovulation and hormone secretion in ovaries. To better understand the molecular mechanisms of porcine estrus, the expression patterns of ovarian mRNA at proestrus and estrus stages were analyzed using RNA sequencing technology. A total of 2,167 differentially expressed genes (DEGs) were identified ( ≤ 0.05, |log  Ratio| ≥ 1), of which 784 were upregulated and 1,383 were downregulated in the estrus compared with the proestrus group. Gene Ontology (GO) enrichment indicated that these DEGs were mainly involved in the cellular process, single-organism process, cell and cell part, and binding and metabolic process. In addition, a pathway analysis showed that these DEGs were significantly enriched in 33 Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways, including cell adhesion molecules, ECM-receptor interaction, and cytokine-cytokine receptor interaction. Quantitative real-time reverse transcription polymerase chain reaction (qRT-PCR) confirmed the differential expression of 10 selected DEGs. Many of the novel candidate genes identified in this study will be valuable for understanding the molecular mechanisms of the sow estrous cycle.

摘要

发情是母猪繁殖力的重要因素,它涉及到卵巢中的排卵和激素分泌。为了更好地了解猪发情的分子机制,本研究采用 RNA 测序技术分析了发情前期和发情期卵巢 mRNA 的表达模式。共鉴定出 2167 个差异表达基因(DEGs)(≤0.05,|log2 倍变化|≥1),其中发情期与发情前期相比,有 784 个基因上调,1383 个基因下调。基因本体论(GO)富集分析表明,这些 DEGs 主要参与细胞过程、单一生物过程、细胞和细胞部分以及结合和代谢过程。此外,通路分析表明,这些 DEGs 在 33 个京都基因与基因组百科全书(KEGG)通路中显著富集,包括细胞黏附分子、细胞外基质受体相互作用和细胞因子-细胞因子受体相互作用。实时荧光定量 RT-PCR(qRT-PCR)验证了 10 个选定 DEGs 的差异表达。本研究中鉴定的许多新的候选基因将有助于理解母猪发情周期的分子机制。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0fa7/5832140/4e6c010efbd7/BMRI2018-9150723.001.jpg

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