Natural selection directing molecular evolution in vertebrate viral sensors
Jazyk angličtina Země Spojené státy americké Médium print-electronic
Typ dokumentu přehledy, časopisecké články, práce podpořená grantem
PubMed
38325501
DOI
10.1016/j.dci.2024.105147
PII: S0145-305X(24)00019-3
Knihovny.cz E-zdroje
- Klíčová slova
- Evolutionary adaptation, Innate immunity, Molecular evolution, Pattern recognition receptor, Positive selection, Virus detection,
- MeSH
- molekulární evoluce MeSH
- obratlovci MeSH
- přirozená imunita * MeSH
- receptory rozpoznávající vzory * genetika MeSH
- selekce (genetika) MeSH
- zvířata MeSH
- Check Tag
- zvířata MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
- přehledy MeSH
- Názvy látek
- receptory rozpoznávající vzory * MeSH
Diseases caused by pathogens contribute to molecular adaptations in host immunity. Variety of viral pathogens challenging animal immunity can drive positive selection diversifying receptors recognising the infections. However, whether distinct virus sensing systems differ across animals in their evolutionary modes remains unclear. Our review provides a comparative overview of natural selection shaping molecular evolution in vertebrate viral-binding pattern recognition receptors (PRRs). Despite prevailing negative selection arising from the functional constraints, multiple lines of evidence now suggest diversifying selection in the Toll-like receptors (TLRs), NOD-like receptors (NLRs), RIG-I-like receptors (RLRs) and oligoadenylate synthetases (OASs). In several cases, location of the positively selected sites in the ligand-binding regions suggests effects on viral detection although experimental support is lacking. Unfortunately, in most other PRR families including the AIM2-like receptor family, C-type lectin receptors (CLRs), and cyclic GMP-AMP synthetase studies characterising their molecular evolution are rare, preventing comparative insight. We indicate shared characteristics of the viral sensor evolution and highlight priorities for future research.
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