School of Marine Science and Engineering, Qingdao Agricultural University, Qingdao, China.
College of Marine Science and Biological Engineering, Qingdao University of Science & Technology, Qingdao, China.
Front Immunol. 2021 Jan 20;11:618687. doi: 10.3389/fimmu.2020.618687. eCollection 2020.
, an important aquaculture species, has been widely cultured in East Asian countries. With the increase in the cultivation scale, various diseases have become major threats to the industry. Evidence has shown that non-coding RNAs (ncRNAs) have remarkable functions in the interactions between pathogens and their hosts. However, little is known about the mechanisms of circular RNAs (circRNAs) and coding RNAs in the process of preventing pathogen infection in the intestine in teleosts. In this study, we aimed to uncover the global landscape of mRNAs, circRNAs, and microRNAs (miRNAs) in response to infection at different time points (0, 2, 6, 12, and 24 h) and to construct regulatory networks for exploring the immune regulatory mechanism in the intestine of In total, 1,794 mRNAs, 87 circRNAs, and 79 miRNAs were differentially expressed. The differentially expressed RNAs were quantitatively validated using qRT-PCR. Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis showed that most of the differentially expressed mRNA genes and the target genes of ncRNAs were related to immune signaling pathways, such as the NF-κB signal pathway, pathogen recognition receptors related to signaling pathways (Toll-like receptors and Nod-like receptors), and the chemokine signaling pathway. Based on these differentially expressed genes, 624 circRNA-miRNA pairs and 2,694 miRNA-mRNA pairs were predicted using the miRanda software. Integrated analyses generated 25 circRNA-miRNA-mRNA interaction networks. In a novel_circ_0004195/novel-530/ interaction network, novel_530 was upregulated, while its two targets, novel_circ_0004195 and , were downregulated after infection. In addition, two circRNA-miRNA-mRNA networks related to apoptosis (novel_circ_0003210/novel_152/apoptosis-stimulating of p53 protein 1) and interleukin (novel_circ_0001907/novel_127/interleukin-1 receptor type 2) were also identified in our study. We thus speculated that the downstream NF-κB signaling pathway, p53 signaling pathway, and apoptosis pathway might play vital roles in the immune response in the intestine of This study revealed a landscape of RNAs in the intestine of during infection and provided clues for further study on the immune mechanisms and signaling networks based on the in .
，一种重要的水产养殖物种，已在东亚国家广泛养殖。随着养殖规模的扩大，各种疾病已成为该行业的主要威胁。有证据表明，非编码 RNA（ncRNA）在病原体与其宿主的相互作用中具有显著的功能。然而，关于 circRNA 和编码 RNA 在硬骨鱼类肠道预防病原体感染过程中的机制知之甚少。在这项研究中，我们旨在揭示在不同时间点（0、2、6、12 和 24 h）感染后肠道中 mRNA、circRNA 和 microRNA（miRNA）的整体变化情况，并构建调控网络，以探索在 感染过程中肠道的免疫调控机制。共检测到 1794 个 mRNA、87 个 circRNA 和 79 个 miRNA 发生差异表达。使用 qRT-PCR 对差异表达的 RNA 进行了定量验证。京都基因与基因组百科全书（KEGG）富集分析表明，大多数差异表达的 mRNA 基因和 ncRNA 的靶基因与免疫信号通路有关，如 NF-κB 信号通路、与信号通路相关的病原体识别受体（Toll 样受体和 Nod 样受体）和趋化因子信号通路。基于这些差异表达基因，使用 miRanda 软件预测了 624 个 circRNA-miRNA 对和 2694 个 miRNA-mRNA 对。综合分析生成了 25 个 circRNA-miRNA-mRNA 相互作用网络。在一个 novel_circ_0004195/novel-530/相互作用网络中，novel_530 上调，而其两个靶标 novel_circ_0004195 和 下调。此外，我们还在研究中发现了两个与细胞凋亡（novel_circ_0003210/novel_152/apoptosis-stimulating of p53 protein 1）和白细胞介素（novel_circ_0001907/novel_127/interleukin-1 receptor type 2）相关的 circRNA-miRNA-mRNA 网络。因此，我们推测下游 NF-κB 信号通路、p53 信号通路和细胞凋亡通路可能在 感染后肠道的免疫反应中发挥重要作用。本研究揭示了 感染后肠道中 RNA 的全景图，为进一步研究基于 感染的鱼类免疫机制和信号网络提供了线索。
