Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/37037
Appears in Collections:Biological and Environmental Sciences Journal Articles
Peer Review Status: Refereed
Title: Novel model organisms and proteomics for a better biological understanding
Author(s): Armengaud, Jean
Cardon, Tristan
Cristobal, Susana
Matallana-Surget, Sabine
Bertile, Fabrice
Contact Email: sabine.matallanasurget@stir.ac.uk
Keywords: Model
Proteomics
Proteogenomics
Toxicoproteomics
Comparative evolutionary proteomics
Metaproteomics
Holobiont
Microbiome
Issue Date: 30-May-2025
Date Deposited: 21-Apr-2025
Citation: Armengaud J, Cardon T, Cristobal S, Matallana-Surget S & Bertile F (2025) Novel model organisms and proteomics for a better biological understanding. <i>Journal of Proteomics</i>, 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.
DOI Link: 10.1016/j.jprot.2025.105441
Rights: This is an open access article distributed under the terms of the Creative Commons CC-BY license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. You are not required to obtain permission to reuse this article.
Licence URL(s): http://creativecommons.org/licenses/by/4.0/

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