Article ; Online: Evolutionary divergence of TLR9 through ancestral sequence reconstruction.
2024 Volume 76, Issue 3, Page(s) 203–211
Abstract: The transmembrane pattern recognition receptor, Toll-like receptor (TLR), are best known for their roles in innate immunity via recognition of pathogen and initiation of signaling response. Mammalian TLRs recognize molecular patterns associated with ... ...
Abstract | The transmembrane pattern recognition receptor, Toll-like receptor (TLR), are best known for their roles in innate immunity via recognition of pathogen and initiation of signaling response. Mammalian TLRs recognize molecular patterns associated with pathogens and initiate innate immune response. We have studied the evolutionary diversity of mammalian TLR genes for differences in immunological response. Reconstruction of ancestral sequences is a key aspect of the molecular evolution of TLR to track changes across the TLR genes. The comprehensive analysis of mammalian TLRs revealed a distinct pattern of evolution of TLR9. Various sequence-based features such as amino acid usage, hydrophobicity, GC content, and evolutionary constraints are found to influence the divergence of TLR9 from other TLRs. Ancestral sequence reconstruction analysis also revealed that the gradual evolution of TLR genes in several ancestral lineages leads to the distinct pattern of TLR9. It demonstrates evolutionary divergence with the progressive accumulation of mutations results in the distinct pattern of TLR9. |
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MeSH term(s) | Toll-Like Receptor 9/genetics ; Evolution, Molecular ; Animals ; Phylogeny ; Humans ; Genetic Variation ; Amino Acid Sequence ; Base Composition |
Chemical Substances | Toll-Like Receptor 9 ; TLR9 protein, human |
Language | English |
Publishing date | 2024-03-05 |
Publishing country | United States |
Document type | Journal Article ; Research Support, Non-U.S. Gov't |
ZDB-ID | 186560-2 |
ISSN | 1432-1211 ; 0093-7711 |
ISSN (online) | 1432-1211 |
ISSN | 0093-7711 |
DOI | 10.1007/s00251-024-01338-8 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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