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Updated: May 14, 2026

An Efficient Clearing Protocol for the Study of Seed Development in Tomato (Solanum lycopersicum L.)
Published on: September 7, 2022
VIGS: a tool to study fruit development in Solanum lycopersicum.
Josefina-Patricia Fernandez-Moreno1, Diego Orzaez, Antonio Granell
1Fruit Genomics and Biotechnology Laboratory, Instituto de Biología Molecular y Celular de Plantas, (CSIC-UPV), Valencia, Spain.
This study introduces a visually traceable Fruit-VIGS system for rapid gene function analysis in tomatoes. It uses anthocyanin accumulation in purple tomato lines to easily identify gene silencing effects during fruit ripening.
Area of Science:
- Plant molecular biology
- Genetics
- Agricultural science
Background:
- Studying gene function in fruit ripening is challenging due to a lack of visual phenotypes.
- Existing methods for gene silencing lack visual traceability, hindering rapid analysis.
Purpose of the Study:
- To develop a visually traceable system for fast gene function analysis in tomato fruit.
- To enable the study of genes involved in metabolic processes during ripening that lack inherent visual phenotypes.
Main Methods:
- Utilized purple transgenic tomato lines with ectopic expression of Delila (Del) and Rosea1 (Ros1) under the E8 promoter for anthocyanin biosynthesis.
- Employed Virus-Induced Gene Silencing (VIGS) via agroinjection of Tobacco Rattle Virus (TRV) carrying a Del/Ros1 (DR) module into tomato fruits.
- Developed a Gateway vector (pTRV2_DR_GW) for easy cloning of genes of interest (GOI) alongside the DR module for co-silencing.
Main Results:
- The co-silencing of reporter DR genes and GOI resulted in easily identifiable color changes in silenced fruit sectors.
- This visual traceability allowed precise identification of silencing regions and facilitated gene function assessment.
- The system effectively studied genes involved in metabolic processes that do not inherently produce visual phenotypes.
Conclusions:
- The developed Fruit-VIGS system provides a visually traceable and efficient tool for rapid gene function analysis in tomato fruit.
- This methodology significantly aids in understanding gene roles, particularly in metabolic pathways during fruit ripening.
- The system enhances the study of genes that would otherwise be difficult to phenotype visually.
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