Genome-Wide Identification and Expression Analysis of WRKY Transcription Factors in Akebiatrifoliata: A Bioinformatics Study

Genes (Basel). 2022 Aug 26;13(9):1540. doi: 10.3390/genes13091540.

Abstract

WRKY transcription factors have been found in most plants and play an important role in regulating organ growth and disease response. Outlining the profile of WRKY genes is a very useful project for studying morphogenesis and resistance formation. In the present study, a total of 63 WRKY genes consisting of 13 class I, 41 class II, and 9 class III genes were identified from the newly published A. trifoliata genome, of which 62 were physically distributed on all 16 chromosomes. Structurally, two AkWRKY genes (AkWRKY6 and AkWRKY52) contained four domains, and AkWRKY17 lacked the typical heptapeptide structure. Evolutionarily, 42, 16, and 5 AkWRKY genes experienced whole genome duplication (WGD) or fragmentation, dispersed duplication, and tandem duplication, respectively; 28 Ka/Ks values of 30 pairs of homologous genes were far lower than 1, while those of orthologous gene pairs between AkWRKY41 and AkWRKY52 reached up to 2.07. Transcriptome analysis showed that many of the genes were generally expressed at a low level in 12 fruit samples consisting of three tissues, including rind, flesh, and seeds, at four developmental stages, and interaction analysis between AkWRKY and AkNBS genes containing W-boxes suggested that AkWRKY24 could play a role in plant disease resistance by positively regulating AkNBS18. In summary, the WRKY gene family of A. trifoliata was systemically characterized for the first time, and the data and information obtained regarding AkWRKY could be very useful in further theoretically elucidating the molecular mechanisms of plant development and response to pathogens and practically improving favorable traits such as disease resistance.

Keywords: Akebia trifoliata; WRKY gene; disease resistance; genome duplication; transcriptome analysis.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Computational Biology
  • Disease Resistance / genetics
  • Genes, Plant*
  • Humans
  • Phylogeny
  • Plant Proteins / metabolism
  • Transcription Factors* / metabolism

Substances

  • Plant Proteins
  • Transcription Factors

Grants and funding

This research was supported by an Applied Basic Research Project from the Science and Technology Department of Sichuan Province, China (2020YJ0331); the Foundation of Key Research and Development Projects (2019YFS0020); and the Bureau of Science and Technology of Fuling, Chongqing (FLKJ-2021ABB1016).