Variation in mouse chemical signals is genetically controlled and environmentally modulated

Area of Science:

• Animal behavior
• Chemical ecology
• Mammalian communication

Background:

• Chemical communication is vital in mammals, especially mice, for detecting fitness-related cues.
• Mouse urine is a primary source of these crucial chemical signals.
• Understanding these signals aids in deciphering social interactions and reproductive success.

Purpose of the Study:

• To identify key components of chemical signaling in mouse urine using advanced analytical techniques.
• To investigate the influence of genetic background, sex, and environment on urinary chemical profiles.
• To correlate specific metabolite and protein signatures with biological features in mice.

Main Methods:

• Proteomics and metabolomics were employed to analyze urinary volatile compounds and proteins.
• Machine learning algorithms were utilized to analyze complex multi-omics data.
• Comparative analysis was performed on two house mouse subspecies: Mus musculus musculus and M. m. domesticus.

Main Results:

• A strong correspondence was found between urinary volatiles, proteins, genetic background, sex, and environment.
• Environmental factors significantly influenced both proteomic and metabolomic variations.
• Volatile mixtures were more representative of males, while females exhibited more sex-biased proteins.
• Machine learning identified specific metabolite-protein mixtures linked to biological characteristics.

Conclusions:

• Urinary chemical profiles in mice are complex and influenced by multiple factors, including environment and genetics.
• Combined omics approaches and machine learning are powerful tools for dissecting chemical communication.
• These findings enhance our understanding of mammalian social behavior and chemical ecology.