Acta Agriculturae Zhejiangensis ›› 2023, Vol. 35 ›› Issue (1): 67-78.DOI: 10.3969/j.issn.1004-1524.2023.01.08

• Horticultural Science • Previous Articles     Next Articles

Transcriptome analysis of leaves of wild Portulaca oleracea L. based on Iso-Seq technology

YE Meirong(), HUANG Shoucheng, WANG Xiaopeng, LIU Airong, CUI Feng, KANG Jian   

  1. College of Life and Health Sciences, Anhui Science and Technology University, Fengyan 233100, Anhui,China
  • Received:2022-09-24 Online:2023-01-25 Published:2023-02-21

Abstract:

The transcriptome of wild Portulaca oleracea’s leaves (leaves of three treatments: control, drought stress and low temperature stress) was sequenced and analyzed by Iso-Seq technology. The results showed that 641 732 polymerase reads were generated from the transcriptome of P. oleracea’s leaves. 26 758 071 subreads and 44 Gb total bases were obtained by quality control methods. 442 760 consensus sequences were generated by using CCS software. 391 258 full-length reads and 301 412 full-length non-chimeric reads were generated based on Smrtlink software. 103 298 transcripts were obtained from these consensus sequences by removing redundancy, and 39 717 unigenes were generated from these transcripts by removing redundancy. 40 952 LncRNAs and 38 419 CDS sequences were predicted from the unigenes. Unigenes were aligned to the sequences of public databases, including UniProt, Pfam, GO, KEGG, eggNOG, pathway and NR databases, in which 36 381 unigenes were annotated, and 25 898 (simple sequence repeats) SSR loci were detected in the unigenes. The differentially expressed genes (DEGs) among different treatment groups were screened by using DESeq 2.16 194(Up: 2 874, Down: 13 320), 16 093 (Up: 6 365, Down: 9 728) and 25 498 (Up: 15 163, Down: 10 335) DEGs were obtained in C vs DS, C vs LTS, and DS vs LTS, respectively. This study could provide reference for gene research and SSR development of P. oleracea.

Key words: Portulaca oleracea L., transcriptome, Iso-Seq technology

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