Federal Institute of Northern Minas Gerais - Campus Araçuaí, Minas Gerais, Brazil.
Institute of Agrarian Sciences of UFMG - Campus Montes Claros, Minas Gerais, Brazil.
Microb Pathog. 2019 Apr;129:19-29. doi: 10.1016/j.micpath.2019.01.029. Epub 2019 Jan 24.
Bovine mastitis affects dairy cattle worldwide and, despite the existing therapeutic measures, is not totally under control, leading to the need to develop alternative strategies. Brassica oleracea is a phytochemical commonly used in the control and prevention of human and animal diseases. The use of this plant in the treatment of infectious bovine mastitis has been little referenced in the literature and its molecular mechanism of action in this disease has not been clarified yet. This study aimed to reveal, through bioinformatic analysis, the molecular mechanism of action of Brassica oleracea in bovine mastitis. We investigated genes expressed in the signaling pathways of bovine mastitis and Brassica oleracea performance and elaborated the Venn diagram. A gene network was developed using the STRING 10 database. Leader genes were identified by calculating the weighted number of links (WNL). The NetworkAnalyzer plugin for Cytoscape software was used to characterize network topology. For the visualization of highly interconnected regions in the network, the MCODE was used. The BINGO and GFD-Net plugins were used to perform the ontological analysis. The TP53 and MTOR leader genes were identified in the sub-networks of the bovine mastitis signaling pathway and Brassica oleracea performance, respectively. Topological analysis confirmed the leader condition of the genes. Although the overlap of genes in the Venn diagram was not observed, the leader genes were found to be interconnected (confidence = 0.9). In the network that interconnected the leader genes two molecular complexes were detected and the ontological analysis revealed biological processes, cellular components and important molecular functions. It was concluded that Brassica oleracea may be a promising candidate to be included in a mammalian herbal cocktail against infectious bovine mastitis by interfering in the mechanisms of action of genes such as MTOR and TP53.
奶牛乳腺炎影响着全世界的奶牛养殖业,尽管已经存在治疗措施,但仍未完全得到控制,因此需要开发替代策略。芸薹属植物是一种常用于控制和预防人类和动物疾病的植物化学物质。该植物在治疗感染性奶牛乳腺炎方面在文献中鲜有提及,其在该疾病中的作用机制尚未阐明。本研究旨在通过生物信息学分析揭示芸薹属植物在奶牛乳腺炎中的作用机制。我们研究了奶牛乳腺炎和芸薹属植物表现相关的信号通路中表达的基因,并绘制了维恩图。使用 STRING 10 数据库构建了基因网络。通过计算加权链接数(WNL)确定了主导基因。使用 Cytoscape 软件的 NetworkAnalyzer 插件对网络进行拓扑特征分析。为了可视化网络中的高度相互连接区域,使用了 MCODE。使用 BINGO 和 GFD-Net 插件进行了本体分析。在奶牛乳腺炎信号通路和芸薹属植物表现的子网络中分别鉴定出 TP53 和 MTOR 基因作为主导基因。拓扑分析证实了这些基因的主导地位。尽管维恩图中没有观察到基因的重叠,但发现主导基因是相互关联的(置信度=0.9)。在相互连接主导基因的网络中检测到两个分子复合物,本体分析揭示了生物学过程、细胞成分和重要的分子功能。结论是,芸薹属植物可能是一种有前途的候选物质,可以通过干扰 MTOR 和 TP53 等基因的作用机制,被纳入针对感染性奶牛乳腺炎的哺乳动物草药鸡尾酒中。