Borah Sudarshana, Bora Dipsikha, Bhorali Priyadarshini
Department of Agricultural Biotechnology, Assam Agricultural University, Jorhat, Assam 785013 India.
Department of Life Sciences, Dibrugarh University, Dibrugarh, Assam 786004 India.
3 Biotech. 2022 Aug;12(8):177. doi: 10.1007/s13205-022-03245-9. Epub 2022 Jul 16.
Deep sequencing technologies such as RNA sequencing can help unravel mechanisms governing defense or resistance responses in plant-pathogen interactions. Several studies have been carried out to investigate the transcriptomic changes in germplasm against Yellow Sigatoka disease, but the defense response of has not been investigated so far. We carried out transcriptome sequencing of var Kachkal infected with the pathogen and found that a vast set of genes were upregulated while many genes were downregulated in the resistant cultivar as a result of infection. After transcriptome assembly and differential gene expression analysis, 429 upregulated and 156 downregulated genes were filtered out (considering fold change ± 2, < 0.01). Functional annotation of the differentially expressed genes (DEGs) enriched the upregulated genes into 49 gene ontology (GO) classes of biological processes (BP), 20 classes of molecular function (MF) and 9 classes of cellular component (CC). Similarly, the downregulated genes were classified into 35 GO classes of BP, 28 classes of MF and 6 classes of CC. The KEGG enrichment analysis revealed that the upregulated genes were most highly represented in 'metabolic' and 'biosynthesis of secondary metabolites' pathways. Additionally, 'plant hormone signal transduction', 'plant-pathogen interaction' and 'phenylpropanoid biosynthesis' pathways were also significantly enriched indicating their involvement in resistance responses against the pathogen. The RNA-seq analysis also depicts that a range of important defense-related genes are modulated as a result of infection, all of which are responsible for either mediating or activating resistance responses in the host. We studied and validated the expression profiles of ten important defense-related genes potentially involved in conferring resistance to the pathogen through qRT-PCR. Almost all the selected defense-related genes were found to be highly and significantly upregulated within 24 h post inoculation (hpi) and for some genes, the expression remained consistently high till the later time point of 72 hpi. These results, thus, indicate that the infection by leads to a rapid reprogramming of the defense transcriptome of the resistant banana cultivar. The defense-related genes identified to be modulated in response to infection are important not only for pathogen recognition and perception but also for activation and persistence of defense in the host.
The online version contains supplementary material available at 10.1007/s13205-022-03245-9.
诸如RNA测序之类的深度测序技术有助于揭示植物与病原体相互作用中调控防御或抗性反应的机制。已经开展了多项研究来调查种质对香蕉叶斑病的转录组变化,但迄今为止尚未对[具体品种名称]的防御反应进行研究。我们对感染了病原体[病原体名称]的卡什卡尔[具体品种名称]进行了转录组测序,发现由于感染,抗性品种中有大量基因上调,而许多基因下调。经过转录组组装和差异基因表达分析,筛选出429个上调基因和156个下调基因(考虑倍数变化±2,P<0.01)。对差异表达基因(DEG)的功能注释将上调基因富集到49个生物过程(BP)的基因本体(GO)类别、20个分子功能(MF)类别和9个细胞成分(CC)类别中。同样,下调基因被分类到35个BP的GO类别、28个MF类别和6个CC类别中。KEGG富集分析表明,上调基因在“代谢”和“次生代谢物生物合成”途径中代表性最高。此外,“植物激素信号转导”、“植物 - 病原体相互作用”和“苯丙烷类生物合成”途径也显著富集,表明它们参与了对病原体的抗性反应。RNA测序分析还表明,一系列重要的防御相关基因因感染而被调控,所有这些基因都负责介导或激活宿主中的抗性反应。我们通过qRT-PCR研究并验证了十个可能参与赋予对病原体抗性的重要防御相关基因的表达谱。几乎所有选定的防御相关基因在接种后24小时内都被发现高度且显著上调,对于一些基因,其表达在72小时的后期时间点一直保持高水平。因此,这些结果表明,[病原体名称]感染导致抗性香蕉品种的防御转录组快速重新编程。鉴定出的响应感染而被调控的防御相关基因不仅对于病原体识别和感知很重要,而且对于宿主中防御的激活和持续也很重要。
在线版本包含可在10.1007/s13205 - 022 - 03245 - 9获取的补充材料。