Adaptive efficiency of information processing in immune-pathogen co-evolution
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arXiv
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| Hauptverfasser: | , , , |
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| Format: | Preprint |
| Veröffentlicht: |
2024
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| _version_ | 1866910672136175616 |
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| author | Bellamy, Quinn N Montague, Zachary Peliti, Luca Nourmohammad, Armita |
| author_facet | Bellamy, Quinn N Montague, Zachary Peliti, Luca Nourmohammad, Armita |
| contents | Organisms have evolved immune systems that can counter pathogenic threats. The adaptive immune system in vertebrates consists of a diverse repertoire of immune receptors that can dynamically reorganize to specifically target the ever-changing pathogenic landscape. Pathogens in return evolve to escape the immune challenge, forming an co-evolutionary arms race. We introduce a formalism to characterize out-of-equilibrium interactions in co-evolutionary processes. We show that the rates of information exchange and entropy production can distinguish the leader from the follower in an evolutionary arms races. Lastly, we introduce co-evolutionary efficiency as a metric to quantify each population's ability to exploit information in response to the other. Our formalism provides insights into the conditions necessary for stable co-evolution and establishes bounds on the limits of information exchange and adaptation in co-evolving systems. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2410_04693 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Adaptive efficiency of information processing in immune-pathogen co-evolution Bellamy, Quinn N Montague, Zachary Peliti, Luca Nourmohammad, Armita Populations and Evolution Organisms have evolved immune systems that can counter pathogenic threats. The adaptive immune system in vertebrates consists of a diverse repertoire of immune receptors that can dynamically reorganize to specifically target the ever-changing pathogenic landscape. Pathogens in return evolve to escape the immune challenge, forming an co-evolutionary arms race. We introduce a formalism to characterize out-of-equilibrium interactions in co-evolutionary processes. We show that the rates of information exchange and entropy production can distinguish the leader from the follower in an evolutionary arms races. Lastly, we introduce co-evolutionary efficiency as a metric to quantify each population's ability to exploit information in response to the other. Our formalism provides insights into the conditions necessary for stable co-evolution and establishes bounds on the limits of information exchange and adaptation in co-evolving systems. |
| title | Adaptive efficiency of information processing in immune-pathogen co-evolution |
| topic | Populations and Evolution |
| url | https://arxiv.org/abs/2410.04693 |