Full-Length Transcriptome Analysis of Sesbania cannabina Stem Response to Waterlogging Stress

Sesbania cannabina (Retz.) Pers., as a legume, has strong waterlogging tolerance, but the lack of genomic information limits the exploration of key genes and molecular mechanisms. In this study, single-molecule real-time technology was used to sequence stems RNA of two Sesbania varieties at five time points under waterlogging stress through the PacBio Iso-Seq platform. The full-length transcriptome information contained 42 Gb raw data, 32,503 transcripts with an average length of 1912.28 nt, N50 length of 2059 nt and GC content of 42.69%. A total of 32,143 coding sequences (CDSs), 1745 transcription factors (TFs), 282 long non-coding RNAs (LncRNAs), 7497 simple sequence repeats (SSRs) and 202 alternative splicing (AS) events were identified through sequence alignment and software analysis. The analysis showed that 10,075 transcripts were enriched in 137 KEGG pathways, and 519 transcripts were included in plant hormone signal transduction, of which 103 and 123 transcripts were, respectively, involved in the ethylene and auxin pathways. The assembly and annotation of full-length transcriptome data of Sesbania provided reliable and accurate genomic information for the exploration of key genes and the study of molecular mechanisms in stem response to waterlogging stress.