Screening of heat stress-related signaling pathways and candidate genes in Trichophyton schoenleinii based on transcriptome sequencing data
Objective In order to screen and identify the differentially expressed genes related to heat stress in Trichophy-ton schoenleinii(T.schoenleinii),the molecular mechanism of the differentially expressed genes in T.schoenleinii was fur-ther explored.Methods This study adopts the Illumina platform PE150 sequencing strategy for heat stress(42 ℃),physio-logical temperature(37 ℃)treatment for 30 minutes and under normal temperature growth(27 ℃)under the condition of T.schoenleinii transcriptome sequencing and differentially expressed genes by bioinformatics tools of functional annotation,classification and analysis of the related signal pathways involved,etc.Results 146 351 442,142 326 366 and 134 764 862 original reads were obtained from 30076 RNA strains in the normal temperature group,37 ℃ and 42 ℃ heat treated sam-ples,respectively.143 815 046,134 081 574 and 117 121 246 original reads were obtained from strain 30079,respectively.The analysis of differentially expressed genes showed that DEGs was mainly concentrated in the subcategories of"cellular amide metabolism"(13 up-regulated genes and 3 down-regulated genes),"peptide biosynthesis"(12 up-regulated genes and 3 down-regulated genes),and"ribosome"(11 up-regulated genes)(corrected P＜0.05).KEGG database enrichment analy-sis revealed significant changes in genes involved in protein and carbohydrate metabolism,as well as genes encoding heat shock proteins,suggesting that heat stress had a strong impact on these pathways.Conclusion The different expression genes obtained in this study,especially the genes related to carbon metabolism,amino acid biosynthesis,protein processing in endoplasmic reticulum,biosynthesis of secondary metabolites and other metabolic pathways,especially the genes encoding heat shock proteins,may be involved in the pathogenic mechanism of Trichophyton schoenleinii under heat stress condi-tions,and the specific regulatory mechanisms need to be further studied.
万方数据
维普
