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Updated: May 15, 2026

Dissection and Immunofluorescent Staining of Mushroom Body and Photoreceptor Neurons in Adult Drosophila melanogaster Brains
Published on: November 6, 2017
Genetic mosaic screens in Drosophila mushroom bodies
Abstract:
Genetic mosaics in Drosophila typically involve derivation of homozygous daughter cells from heterozygous precursors through mitotic recombination. MARCM (mosaic analysis with a repressible cell marker) couples loss of heterozygosity with derepression of a marker gene, permitting unique labeling of specific homozygous daughter cells. The generation of GAL80-minus homozygous daughter cells in otherwise heterozygous tissues allows GAL4-dependent activation of upstream activation sequence (UAS)-reporter specifically in the homozygous cells of interest. To make MARCM clones, organisms must carry at least five genetic elements (flippase [FLP], flippase recognition targets [FRTs], tubP-GAL80, GAL4, and UAS-marker) in specific configurations. In neurons whose progenitors can be efficiently targeted for mitotic recombination, genetic mosaic screens can be used to systematically uncover cell-autonomous genes that are required for development or function. This technique involves the generation of numerous FRT lines carrying various independent mutations, followed by derivation and phenotypic analysis of MARCM clones using these mutant FRT lines in combination with an MARCM-enabling stock that carries all the other genetic elements required for MARCM. Mutants of interest are recovered based on the MARCM phenotypes, which are imaged live using diverse fluorescent markers. Mutant genes that underlie the phenotypes of interest can then be identified by conventional genetics including derivation and analysis of series of recombinant chromosomes. Besides chemical mutagenesis, genes on a particular FRT chromosome may be randomly disrupted by P element insertion. This protocol describes procedures specifically used for genetic mosaic screens in the mushroom bodies (MBs).
Insights
Mosaic Analysis with a Repressible Cell Marker (MARCM) enables precise genetic labeling of homozygous cells in Drosophila. This technique facilitates systematic genetic screens to identify genes crucial for neuronal development and function in mushroom bodies.
Area of Science:
- Genetics
- Developmental Biology
- Neuroscience
Background:
- Genetic mosaics are crucial for studying gene function, often generated through mitotic recombination in heterozygous precursors.
- Mosaic Analysis with a Repressible Cell Marker (MARCM) is a powerful technique for labeling homozygous daughter cells derived from heterozygous precursors.
- MARCM couples loss of heterozygosity with marker gene derepression for specific cell labeling.
Purpose of the Study:
- To detail the MARCM technique for generating genetic mosaics in Drosophila.
- To outline procedures for systematic genetic screens in mushroom bodies (MBs) using MARCM.
- To facilitate the identification of cell-autonomous genes essential for neuronal development and function.
Main Methods:
- MARCM utilizes multiple genetic elements (FLP, FRTs, tubP-GAL80, GAL4, UAS-reporter) for precise labeling of homozygous clones.
- Genetic mosaic screens involve generating FRT lines with mutations, followed by MARCM clone derivation and phenotypic analysis.
- Phenotypes are observed via live imaging with fluorescent markers, and mutant genes are identified through conventional genetics.
Main Results:
- MARCM allows for the generation of GAL80-minus homozygous daughter cells in heterozygous tissues.
- This enables GAL4-dependent reporter activation specifically in homozygous cells of interest.
- The protocol is optimized for genetic mosaic screens in Drosophila mushroom bodies.
Conclusions:
- MARCM is an effective method for systematic genetic screens to uncover cell-autonomous genes.
- The technique is particularly valuable for studying neuronal development and function in specific brain regions like the MBs.
- MARCM facilitates the identification of genes underlying observed phenotypes through detailed genetic analysis.

