Amplicon

Our database features a diverse collection of 14,992 amplicon sequencing samples, representing various insect species from multiple geographical regions. Raw sequencing data were retrieved from NCBI, curated manually to ensure quality. Data preprocessing involved quality control and merging with Fastp, primer sequence trimming with Seqtk, and a standardized removal of 20 bp from the 5' ends of both forward and reverse reads. Taxonomic composition was analyzed using QIIME2 and Vsearch. Operational Taxonomic Units (OTUs) were classified with two workflows: QIIME2 utilized a pre-trained Greengenes classifier (gg_2022_10_backbone_full_length.nb.qza), while Vsearch employed the SINTAX algorithm with the Greengenes v13.5 reference database. Results were visualized using Krona for an interactive exploration of taxonomic distributions.