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Novel model organisms and proteomics for a better biological understanding

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Citation

Armengaud J, Cardon T, Cristobal S, Matallana-Surget S & Bertile F (2025) Novel model organisms and proteomics for a better biological understanding. Journal of Proteomics, 316, Art. No.: 105441. https://doi.org/10.1016/j.jprot.2025.105441

Abstract
The concept of ? model organisms ? is being revisited in the light of the latest advances in multi-omics technologies that can now capture the full range of molecular events that occur over time, regardless of the organism studied. Classic, well-studied models, such as Escherichia coli, Saccharomyces cerevisiae, to name a few, have long been valuable for hypothesis testing, reproducibility, and sharing common platforms among researchers. However, they are not suitable for all types of research. The complexity of unanswered questions in biology demands more elaborated systems, particularly to study plant and animal biodiversity, microbial ecosystems and their interactions with their hosts if any. More integrated systems, known as ? holobionts ?, are emerging to describe and unify host organisms and associated microorganisms, providing an overview of all their possible interactions and trajectories. Comparative evolutionary proteomics offers interesting prospects for extrapolating knowledge from a few selected model organisms to others. This approach enables a deeper characterization of the diversity of proteins and proteoforms across the three branches of the tree of life, i.e. Bacteria, Archaea, and Eukarya. It also provides a powerful means to address remaining biological questions, such as identifying the key molecular players in organisms when they are confronted to environmental challenges, like anthropogenic toxicants, pathogens, dietary shifts or climate stressors, and proposing long-term sustainable solutions.

Keywords
Model; Proteomics; Proteogenomics; Toxicoproteomics; Comparative evolutionary proteomics; Metaproteomics; Holobiont; Microbiome

Journal
Journal of Proteomics: Volume 316

StatusPublished
Publication date31/05/2025
Publication date online30/04/2025
Date accepted by journal08/04/2025
PublisherElsevier BV
ISSN1874-3919

People (1)

Dr Sabine Matallana-Surget

Dr Sabine Matallana-Surget

Associate Professor, Biological and Environmental Sciences

Projects (1)

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