Multi-omics sequencing provides insight into floral transition in Catalpa bungei. C.A. Mey

BMC Genomics. 2020 Jul 22;21(1):508. doi: 10.1186/s12864-020-06918-y.

Abstract

Background: Floral transition plays an important role in development, and proper time is necessary to improve the value of valuable ornamental trees. The molecular mechanisms of floral transition remain unknown in perennial woody plants. "Bairihua" is a type of C. bungei that can undergo floral transition in the first planting year.

Results: Here, we combined short-read next-generation sequencing (NGS) and single-molecule real-time (SMRT) sequencing to provide a more complete view of transcriptome regulation during floral transition in C. bungei. The circadian rhythm-plant pathway may be the critical pathway during floral transition in early flowering (EF) C. bungei, according to horizontal and vertical analysis in EF and normal flowering (NF) C. bungei. SBP and MIKC-MADS-box were seemingly involved in EF during floral transition. A total of 61 hub genes were associated with floral transition in the MEturquoise model with Weighted Gene Co-expression Network Analysis (WGCNA). The results reveal that ten hub genes had a close connection with the GASA homologue gene (Cbu.gene.18280), and the ten co-expressed genes belong to five flowering-related pathways. Furthermore, our study provides new insights into the complexity and regulation of alternative splicing (AS). The ratio or number of isoforms of some floral transition-related genes is different in different periods or in different sub-genomes.

Conclusions: Our results will be a useful reference for the study of floral transition in other perennial woody plants. Further molecular investigations are needed to verify our sequencing data.

Keywords: Catalpa bungei; Early flowering; Floral transition; RNA sequencing; WGCNA.

MeSH terms

  • Bignoniaceae* / genetics
  • Flowers / genetics
  • Gene Expression Profiling
  • Gene Expression Regulation, Plant*
  • High-Throughput Nucleotide Sequencing
  • Transcriptome