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Updated: Jan 6, 2026

A Buoyancy-based Method of Determining Fat Levels in Drosophila

A Buoyancy-based Method of Determining Fat Levels in Drosophila

Published on: November 1, 2016

Strong GAL4 expression compromises Drosophila fat body function.

Scott A Keith^1,2, Ananda A Kalukin^1,2, Dana S Vargas Solivan^1,2

¹Department of Entomology, Cornell University, Ithaca, NY 14853, United States.

|November 1, 2025

Summary

This summary is machine-generated.

Transgenic proteins, like GAL4, can disrupt fly physiology, affecting fat body integrity, egg production, and immunity. Careful characterization of genetic tools is crucial for accurate Drosophila research.

Keywords:

Drosophila GAL4 adipocytes fat body innate immunity metabolism nuclear import oogenesis transgenes

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Area of Science:

Genetics
Molecular Biology
Immunology

Background:

Transgenic protein overexpression is vital for biological discovery in model organisms like Drosophila.
The physiological impact of these overexpressed proteins is often overlooked.

Purpose of the Study:

To investigate the physiological effects of the yolk-GAL4 transgene in Drosophila.
To determine if other transgenes can similarly impact fat body function and immune response.

Main Methods:

Generated and analyzed Drosophila lines expressing GAL4, mCherry, or LexA under the yolk enhancer.
Utilized RNA interference (RNAi) to knockdown GAL4 expression.
Assessed fat body integrity, lipid stores, egg production, and resistance to bacterial infection.

Main Results:

The yolk-GAL4 transgene caused significant defects in fat body integrity, reduced lipid stores, egg production, and infection resistance.
GAL4 expression levels correlated with infection susceptibility but not fat levels or egg production.
Nuclear-localized mCherry and LexA also increased infection susceptibility, suggesting intranuclear proteins can impair immune response.

Conclusions:

Transgenes, particularly intranuclear proteins, can substantially impact organismal physiology and immune function in Drosophila.
Rigorous characterization of genetic tools is essential for reliable model system research.