首页|青海云杉响应锈菌侵染转录组分析

青海云杉响应锈菌侵染转录组分析

Transcriptome analysis of Picea crassifolia in response to rust infestation

扫码查看
为探究锈菌与青海云杉之间的互作机制,利用Illumina测序平台对青海云杉健康植株和发病植株进行转录组测序,以差异倍数(FC)≥2且错误发现率(FDR)<0.01为标准,共获得15408个差异表达基因,有10296个差异基因上调,5112个差异基因下调.GO注释中,DEGs显著富集到代谢过程、细胞过程、催化活性和结合等过程.KEGG注释中,DEGs显著富集到核糖体、植物与病原互作、内质网蛋白加工、信号转导等过程,通过分析相关通路发现,青海云杉响应锈菌侵染的分子机制受多基因网络系统的调控.为验证RNA-seq数据的可靠性,对10个DEGs进行RT-qPCR表达量检测,验证结果为,RT-qPCR和RNA-seq测得的基因表达趋势基本一致.这有助于深入研究候选基因在青海云杉响应锈菌侵染中的作用,同时也为开展青海云杉抗病功能基因组学研究奠定基础.
To investigate the mechanism in interaction between rust fungus and Picea crassifolia,this study utilized Illumina sequencing to sequence the transcriptome of healthy and diseased plants of Picea crassifolia.A total of 15,408 differentially expressed genes were obtained,with 10,296 genes up-regulated and 5,112 genes down-regulated based on a criterion of difference fold(FC)≥2 and false discovery rate(FDR)<0.01.In the GO annotation,the differentially expressed genes were significantly enriched in metabolic processes,cellular processes,catalytic activity,and binding.In the KEGG annotation,the differentially expressed genes were significantly enriched in ribosomes,plant-pathogen interactions,endoplasmic reticulum protein processing,and signal transduction.It is possible that the molecular mechanism of Picea crassifolia in response to rust infestation is regulated by a multigene network system,which induces multiple disease resistance pathways in Picea crassifolia.To validate the reliability of the RNA-seq data,RT-qPCR expression assays were conducted for 10 differentially expressed genes,and the results showed that the gene expression trends measured by RT-qPCR and RNA-seq were consistent.It helps us to investigate the role of candidate genes in the response of Picea crassifolia to rust infestation in-depth,and also lay the foundation for conducting functional genomics studies on disease resistance in Picea crassifolia.

Picea crassifoliarust fungustranscriptomeinteraction

李海兰、白露超

展开 >

青海大学农牧学院,西宁 810016

青海云杉 锈菌 转录组 互作

青海省科技成果转化专项

2023-SF-119

2023

干旱区资源与环境
中国自然资源学会干旱半干旱地区研究委员会 内蒙古农业大学

干旱区资源与环境

CSSCICSCDCHSSCD北大核心
影响因子:1.492
ISSN:1003-7578
年,卷(期):2023.37(11)
  • 36