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Genome-Wide Identification of B-Box Gene Family and Candidate Light-Related Member Analysis of Tung Tree ( Vernicia fordii ).

Kai ShiGuang ZhaoXiaofeng TanJunqin ZhouLingli WuXiaofeng TanJun Yuan
Published in: International journal of molecular sciences (2024)
Light is one of the most important environmental factors for plant growth. In the production process of tung oil tree cultivation, due to the inappropriate growth of shading conditions, the lower branches are often dry and dead, which seriously affects the yield of tung oil trees. However, little is known about the key factors of light-induced tree photomorphogenesis. In this study, a total of 22 VfBBX family members were identified to provide a reference for candidate genes in tung tree seedlings. All members of the VfBBX family have different numbers of highly conserved B-box domains or CCT domains. Phylogenetic evolution clustered the VfBBX genes into four categories, and the highest density of members was on chromosome 6. Interspecific collinearity analysis suggested that there were six pairs of duplicate genes in VfBBX members, but the expression levels of all family members in different growth and development stages of the tung tree were significantly divergent. After different degrees of shading treatment and physiological data determination of tung tree seedlings, the differential expression level and chlorophyll synthesis genes correlation analysis revealed that VfBBX9 was a typical candidate nuclear localization transcription factor that was significantly differentially expressed in light response. This study systematically identified the VfBBX gene family and provided a reference for studying its molecular function, enhanced the theoretical basis for tung tree breeding, and identified excellent varieties.
Keyphrases
  • transcription factor
  • genome wide identification
  • genome wide
  • binding protein
  • poor prognosis
  • dna binding
  • fatty acid
  • electronic health record
  • dna methylation
  • deep learning
  • data analysis
  • tandem mass spectrometry