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Variation in mouse chemical signals is genetically controlled and environmentally modulated
- 1.0573981 - ÚMG 2024 RIV US eng J - Journal Article
Stopková, R. - Matějková, T. - Dodoková, A. - Talacko, P. - Žáček, P. - Sedláček, Radislav - Piálek, Jaroslav - Stopka, P.
Variation in mouse chemical signals is genetically controlled and environmentally modulated.
Scientific Reports. Roč. 13, č. 1 (2023), č. článku 8573. ISSN 2045-2322. E-ISSN 2045-2322
R&D Projects: GA MŠMT(CZ) ED1.1.00/02.0109; GA MŠMT(CZ) LM2018126; GA MŠMT EF16_013/0001789; GA ČR(CZ) GA16-23773S
Grant - others:AV ČR(CZ) StrategieAV21/21
Program: StrategieAV
Research Infrastructure: CCP II - 90126
Institutional support: RVO:68378050 ; RVO:68081766
Keywords : Genetic Variation * Mice * Proteins * Proteomics * Signal Transduction
OECD category: Biochemistry and molecular biology; Zoology (UBO-W)
Impact factor: 3.8, year: 2023 ; AIS: 1.061, rok: 2023
Method of publishing: Open access
Result website:
https://www.nature.com/articles/s41598-023-35450-8DOI: https://doi.org/10.1038/s41598-023-35450-8
In most mammals and particularly in mice, chemical communication relies on the detection of ethologically relevant fitness-related cues from other individuals. In mice, urine is the primary source of these signals, so we employed proteomics and metabolomics to identify key components of chemical signalling. We show that there is a correspondence between urinary volatiles and proteins in the representation of genetic background, sex and environment in two house mouse subspecies Mus musculus musculus and M. m. domesticus. We found that environment has a strong influence upon proteomic and metabolomic variation and that volatile mixtures better represent males while females have surprisingly more sex-biased proteins. Using machine learning and combined-omics techniques, we identified mixtures of metabolites and proteins that are associated with biological features.
Permanent Link: https://hdl.handle.net/11104/0344359
File Download Size Commentary Version Access 0573981.pdf 0 3.9 MB Publisher’s postprint open-access
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