ORF prediction

TransDecoder (https://transdecoder.github.io/) was used to predict the open reading frames (ORFs) and translate proteins, and homology searches against pFam and Uniprot databases were performed as supporting evidence for the ORFs. The ORFs with fewer than 30 amino acids were discarded.本研究采用TransDecoder（https://transdecoder.github.io/）预测开放阅读框（open reading frames, ORFs）并完成蛋白质翻译，同时针对Pfam与UniProt数据库开展同源性检索，以此作为上述开放阅读框的佐证依据。最终剔除氨基酸残基数少于30的开放阅读框。