猪链球菌2型强毒株05ZYH33转录调控因子Rgg基因敲除突变体与野生株的基因表达差异分析

目的:为了解猪链球菌2型强毒株05Z33转录调控因子Rgg的调控作用,用基因芯片方法分析野生株与rgg基因敲除突变体之间的差异表达基因。方法:用猪链球菌2型全基因组序列点样制备芯片,将芯片运用于rgg敲除株与野生株的基因表达差异研究,采用定量real-time PCR(qRT-PCR)验证表达谱结果。结果:在突变体中共发现45个基因表达量变化在2倍以上,其中19个基因表达上调,26个基因表达下调。这些基因在细菌毒力、免疫抗原、DNA合成和修复、基础代谢和ABC转运系统等方面起着重要作用。结论:转录调控因子Rgg是一个全局调控因子,但rgg敲除后并不影响猪链球菌的毒力。     

圆口铜鱼亲本与子代肝脏转录组特征及对比分析

通过Illumina HiseqTM 2000测序平台首次开展了圆口铜鱼(Coreius guichenoti)亲本与子代肝脏转录组测序并对比分析其测序结果。对转录组进行拼接和组装, 共获得80688个Unigene, Unigene的长度主要分布在401—600 bp, 占总Unigene的43.56%。与Nr、GO、COG、KEGG等公共数据库比对并进行功能注释, 经分析圆口铜鱼亲本与子代差异表达基因共2701个, 其中上调1240个, 下调1461个。差异基因表达模式聚类热图显示, 同一样本不同重复基因表达相似。将差异基因映射到代谢通路KEGG数据库进行富集分析, 并对37个KEGG显著富集的代谢通路(P<0.05)构建其基因共表达网络, 结果显示丙酸盐代谢、丙酮酸代谢、原核生物固碳途径、乙醛和二羧酸代谢、脂肪酸代谢、萜类骨架生物合成是KEGG差异表达基因的核心代谢途径, 且这些基因在圆口铜鱼子代中表达量均显著上调。该结果丰富了圆口铜鱼基因组数据, 并首次从分子水平比较了圆口铜鱼亲本和子代的代谢差异, 同时解释了在同一循环水系统中子代不易患病的现象。     

Genomic-scale analysis of Pasteurella multocida gene expression during growth within liver tissue of chickens with fowl cholera

We have recently reported the gene expression profile of Pasteurella multocida during growth in the blood of chickens with fowl cholera. Here we report the gene expression profile of P. multocida during growth in the livers of similarly infected chickens. We compared expression profiles of bacteria harvested from the livers of infected chickens with late-stage fowl cholera with those of bacteria grown in rich medium. Independent analysis of bacterial expression profiles from three individual chickens indicated that 93 P. multocida genes were always differentially expressed during growth in liver tissue. Of these 93 genes, 49 were upregulated and 44 downregulated in the host. Many of the upregulated genes were involved in energy production and conversion (9/49) and carbohydrate transport and metabolism (8/49), and a number of these have been shown to be induced under anaerobic conditions in other species. The downregulated genes were generally of unknown or poorly characterised functions (14/44). Comparison of the differentially regulated gene sets identified for growth in liver with those identified previously for growth in blood allowed the identification of a core set of 13 upregulated and 16 downregulated genes that were differentially regulated in at least five of the six infections studied.