Related Experiment Video
Updated: Jun 15, 2026

Annotation of Plant Gene Function via Combined Genomics, Metabolomics and Informatics
Published on: June 17, 2012
High-throughput characterization of plant gene functions by using gain-of-function technology
Youichi Kondou1, Mieko Higuchi, Minami Matsui
1Plant Functional Genomics Research Team, RIKEN Plant Science Center, Tsurumi-ku, Yokohama, Japan. youichi@psc.riken.jp
Abstract:
Gain-of-function approaches have been used as an alternative or complementary method to loss-of-function approaches as well as to confer new functions to plants. Gain-of-function is achieved by increasing gene expression levels through the random activation of endogenous genes by transcriptional enhancers or the expression of individual transgenes by transformation. The advantages of gain-of-function approaches compared to loss-of-function approaches for the characterization of gene functions include the abilities to (a) analyze individual gene family members, (b) characterize the function of genes from nonmodel plants using a heterologous expression system, and (c) identify genes that confer stress tolerance to plants that result from the introduction of transgenes. In this review, we describe the current status of gain-of-function mutagenesis and provide several examples of how gene functions have been characterized via high-throughput screening using gain-of-function technology.
Related Concept Videos
Transgenic Plants
The first-ever transgenic plant was a tobacco plant developed in 1983 that showed resistance against the tobacco mosaic virus. Since then, many transgenic plants have been developed and commercialized for improving the agricultural, ornamental, and horticultural value of a crop plant. Transgenic...
Plant Breeding and Biotechnology
Genetic Screens
Forward genetic screens
Forward or “classical” genetic screens involve creating random mutations in an organism’s DNA using radiation, mutagens, or insertion of additional bases, which result in visible changes...
Transgenic Organisms