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Transcriptome analysis and metabolic profiling reveal the key role of carotenoids in the petal coloration of Liriodendron tulipifera.

Zhaodong HaoSiqin LiuLingfeng HuJisen ShiJinhui Chen
Published in: Horticulture research (2020)
Liriodendron tulipifera, also known as tuliptree, is a popular ornamental horticultural plant with extraordinary tulip-shaped flowers characterized by an orange band near their base. The mechanisms underlying petal band-specific pigmentation during L. tulipifera flower development are unclear. Here, we combined nontargeted and targeted metabolomics and transcriptomics to identify a pathway cascade leading to carotenoid biosynthesis that is specifically activated in the petal band. The comparative analysis of carotenoid metabolites between L. tulipifera and Liriodendron hybrids indicates that γ-carotene, a rare carotene in plants, is the most likely orange pigment responsible for the coloration of the petal band. Phenotypic and transcriptomic analyses of developing petals reveal that the band area is first predefined by the loss of green color. Later, the band is maintained by locally activating and repressing carotenoid and chlorophyll biosynthesis genes, respectively. Two rate-limiting genes of carotene biosynthesis, carotenoid isomerase (CRTISO) and epsilon lycopene cyclase (ε-LCY), encode the core enzymes responsible for petal band-specific orange pigmentation in L. tulipifera. In particular, a putative additional ε-LCY copy specific to L. tulipifera may contribute to the distinct petal coloration pattern, compared with L. chinense. Taken together, our work provides a first glimpse of the metabolome and transcriptome dynamics in tuliptree flower coloration and provides a valuable resource for flower breeding or metabolic engineering as well as for understanding flower evolution in an early woody angiosperm.
Keyphrases
  • single cell
  • genome wide
  • rna seq
  • cell wall
  • mass spectrometry
  • signaling pathway
  • drug delivery
  • cancer therapy
  • transcription factor
  • high resolution