Method for mining endophytic microbiome information from animal and plant transcriptome data

The invention discloses a method for mining endophytic microbiome information from animal and plant transcriptome data, which comprises the following steps of: (1) cleaning host animal and plant transcriptome sequencing original data to obtain transcriptome data only containing high-quality sequences; (2) comparing the transcriptome data with a host reference genome to obtain a data file containing a microbial sequence; and (3) analyzing the data file to obtain the composition information of the endophytic microorganisms. Compared with the method for analyzing microorganism composition information through amplicon analysis or animal and plant tissue whole genome sequencing, the method has the advantages that the composition and content information of various microorganisms can be analyzed, original host animal and plant gene expression information can be obtained, and the experimental research cost is saved. 本发明公开了从动植物转录组数据中挖掘内生微生物组信息的方法，步骤包括：(1)对宿主动植物转录组测序原始数据进行清理，以获得仅含高质量序列的转录组数据；(2)将所述转录组数据与宿主参考基因组进行比对，获得含