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Bioinformatics Analysis of WRKY Family Genes in Erianthus fulvus Ness.

Haowen ChenXuzhen LiFusheng LiDengyu LiYang DongYuanhong Fan
Published in: Genes (2022)
One of the most prominent transcription factors in higher plants, the WRKY gene family, is crucial for secondary metabolism, phytohormone signaling, plant defense responses, and plant responses to abiotic stresses. It can control the expression of a wide range of target genes by coordinating with other DNA-binding or non-DNA-binding interacting proteins. In this study, we performed a genome-wide analysis of the EfWRKY genes and initially identified 89 members of the EfWRKY transcription factor family. Using some members of the OsWRKY transcription factor family, an evolutionary tree was built using the neighbor-joining (NJ) method to classify the 89 members of the EfWRKY transcription factor family into three major taxa and one unclassified group. Molecular weights ranged from 22,614.82 to 303,622.06 Da; hydrophilicity ranged from (-0.983)-(0.159); instability coefficients ranged from 40.97-81.30; lipid coefficients ranged from 38.54-91.89; amino acid numbers ranged from 213-2738 bp; isoelectric points ranged from 4.85-10.06. A signal peptide was present in EfWRKY41 but not in the other proteins, and EfWRK85 was subcellularly localized to the cell membrane. Chromosome localization revealed that the WRKY gene was present on each chromosome, proving that the conserved pattern WRKYGQK is the family's central conserved motif. Conserved motif analysis showed that practically all members have this motif. Analysis of the cis-acting elements indicated that, in addition to the fundamental TATA-box, CAAT-box, and light-responsive features (GT1-box), there are response elements implicated in numerous hormones, growth regulation, secondary metabolism, and abiotic stressors. These results inform further studies on the function of EfWRKY genes and will lead to the improvement of sugarcane.
Keyphrases
  • transcription factor
  • genome wide identification
  • dna binding
  • genome wide
  • bioinformatics analysis
  • copy number
  • amino acid
  • single cell
  • gene expression
  • fatty acid
  • long non coding rna
  • binding protein