球囊菌胁迫中华蜜蜂幼虫肠道过程中病原的转录组学研究

【目的】本研究利用RNA-seq技术对球囊菌胁迫的中华蜜蜂(中蜂)幼虫肠道进行深度测序,经趋势分析得到差异表达基因(DEGs)的显著表达模式,进而对胁迫过程中的球囊菌进行转录组学分析。【方法】利用Illumina HiSeq 2500平台对球囊菌胁迫的中蜂幼虫肠道进行深度测序,并利用相关软件进行了深入分析。最后,通过RT-qPCR对RNA-seq数据进行了验证。【结果】本研究共得到球囊菌的41133932条高质量clean reads。22865个DEGs共聚类为8个基因表达模式,其中,16769个DEGs聚类为2个显著上调趋势与2个显著下调趋势。GO富集分析结果显示,显著上调与显著下调趋势中的DEGs分别富集于40与37个GO term,基因富集数最多的为细胞进程(2486 unigenes)。KEGG代谢通路(pathway)富集分析结果显示,显著上调与显著下调趋势中的DEGs分别富集于119和112个pathway,基因富集数最多的分别是氨基酸生物合成(127 unigenes)与核糖体(98 unigenes)。进一步分析表明球囊菌在胁迫中蜂幼虫肠道的过程中通过提高物质合成促进其增殖,而宿主通过抑制球囊菌的蛋白合成抵御病原入侵。富集在MAPK信号通路的11个DEGs的表达水平随着胁迫时间的延长而逐渐下降,推测中蜂幼虫通过抑制该通路而阻遏球囊菌增殖。【结论】本研究不仅为揭示白垩病过程中的球囊菌-中蜂幼虫互作提供了重要信息,也为阐明不同抗性蜂种的球囊菌抗性差异奠定了基础。     

Effects of selection for ethanol preference on gene expression in the nucleus accumbens of HS‐CC mice

Previous studies on changes in murine brain gene expression associated with the selection for ethanol preference have used F₂ intercross or heterogeneous stock (HS) founders, derived from standard laboratory strains. However, these populations represent only a small proportion of the genetic variance available in Mus musculus. To investigate a wider range of genetic diversity, we selected mice for ethanol preference using an HS derived from the eight strains of the collaborative cross. These HS mice were selectively bred (four generations) for high and low ethanol preference. The nucleus accumbens shell of naive S₄ mice was interrogated using RNA sequencing (RNA‐Seq). Gene networks were constructed using the weighted gene coexpression network analysis assessing both coexpression and cosplicing. Selection targeted one of the network coexpression modules (greenyellow) that was significantly enriched in genes associated with receptor signaling activity including Chrna7, Grin2a, Htr2a and Oprd1. Connectivity in the module as measured by changes in the hub nodes was significantly reduced in the low preference line. Of particular interest was the observation that selection had marked effects on a large number of cell adhesion molecules, including cadherins and protocadherins. In addition, the coexpression data showed that selection had marked effects on long non‐coding RNA hub nodes. Analysis of the cosplicing network data showed a significant effect of selection on a large cluster of Ras GTPase‐binding genes including Cdkl5, Cyfip1, Ndrg1, Sod1 and Stxbp5. These data in part support the earlier observation that preference is linked to Ras/Mapk pathways.