Metagenome sequencing
The raw double-ended sequences from the high-throughput sequencing machine were first screened for quality to obtain a high quality data set (Clean data) that could be used for downstream macro-genomics analysis.Clean data The high quality sequences from each sample were then assembled separately for macro-genomic sequence splicing to construct macro-genomicContigs and Scaffolds sequences were assembled separately for each sample, and gene prediction was performed to obtain a non-redundant protein sequence set. Subsequently, the protein sequences were sequenced using a variety of commonly useddatabases to obtain functional class abundance profiles for each class, and to perform comparative analysis of differences, metabolic pathway enrichment analysis, clusteringThe sequences were then annotated with a variety of commonly used databases to obtain functional group abundance profiles for each class and to perform differential comparative analysis, metabolic pathway enrichment analysis and cluster analysis.