Deciphering transcriptomic signatures explaining the phenotypic plasticity of nonheading lettuce genotypes under
Hiroto Yamashita1, Kaede C Wada1, Noritoshi Inagaki2
1Institute of Crop Science, National Agriculture and Food Research Organization, Tsukuba, Ibaraki, Japan.
Plant, Cell & Environment
|August 3, 2023
Summary
Understanding genotype-environment interactions is key for plant growth. This study identified specific lettuce genotypes and light conditions that optimize growth by analyzing gene expression and light signaling pathways.
Area of Science:
- Plant Science
- Genetics
- Agricultural Science
Background:
- Optimizing plant growth requires understanding genotype-environment (G×E) interactions and phenotypic plasticity.
- Controlled environment agriculture enables precise environmental modulation for specific plant genotypes.
Purpose of the Study:
- To investigate G×E interactions in leaf lettuce under various artificial light conditions.
- To dissect the molecular mechanisms underlying phenotypic variations using transcriptome-based modeling.
Main Methods:
- Evaluated 14 lettuce genotypes across four artificial light environments.
- Utilized joint regression analysis and the additive main effect and multiplicative interaction (AMMI) model.
- Employed transcriptome-based regression modeling to explain G×E variations.
Main Results:
- Significant G×E interactions were observed in morphological traits and phytochemical concentrations.
- Transcriptome modeling explained 50%-90% of G×E variations.
- Identified Red Lettuce Leaves 4 (RLL4) as a key regulator in UV-B and blue light signaling via the HY5-MBW pathway, impacting flavonoid biosynthesis and light-responsive plasticity.
Conclusions:
- Specific genotype and artificial light combinations can be determined to maximize phenotypic expression in lettuce.
- RLL4 plays a crucial role in mediating light-responsive plasticity in lettuce traits.
- This research advances the understanding of G×E interactions in nonheading lettuce under artificial lighting.
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