“…Extract high-quality full-length transcripts of ‘Yuluxiang’ pear were used for gene prediction model training based on Nanopore full-length transcriptome data of mixed tissues (leaves, flowers, sepals, stems, fruits, etc.). The raw sequencing data of Nanopore were filtered and obtained by Pychopper (https://github.com/friend0/pyChopper), then the filtered data were treated by the Pinfish (https://github.com/nanoporetech/pipeline-pinfish-analysis)package, Transdecoder (Perina et al, 2017), maker2 (Holt and Yandell, 2011), AUGUSTUS (Stanke et al, 2006) to train the gene prediction model of ‘Yuluxiang’ pear, and produced a standard .gff format file by EVM (Haas et al, 2008). Finally, the optimal alignment of genes function were inferred using diamond (Buchfink et al, 2015) against KEGG database (Kanehisa et al, 2012), E=1E-5, NCBI non redundant (NR) database (Pruitt et al, 2007), EggNOG (Huerta-Cepas et al, 2019), TrEMBL [205] (O’Donovan et al, 2002), InterPro (Mitchell et al, 2015), and SwissProt (Boeckmann et al, 2003) protein databases.…”