Evolutionary divergence of TLR9 through ancestral sequence reconstruction.

IF 2.9 4区 医学 Q2 GENETICS & HEREDITY
Immunogenetics Pub Date : 2024-06-01 Epub Date: 2024-03-05 DOI:10.1007/s00251-024-01338-8
Manisha Ghosh, Surajit Basak, Shanta Dutta
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引用次数: 0

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.

Abstract Image

通过祖先序列重建 TLR9 的进化分化。
跨膜模式识别受体,即 Toll 样受体(TLR),因其通过识别病原体和启动信号反应在先天性免疫中的作用而最为人熟知。哺乳动物的 TLR 可识别与病原体相关的分子模式并启动先天性免疫反应。我们研究了哺乳动物 TLR 基因的进化多样性,以了解免疫反应的差异。重建祖先序列是 TLR 分子进化的一个关键环节,以追踪 TLR 基因的变化。对哺乳动物 TLRs 的全面分析揭示了 TLR9 独特的进化模式。研究发现,氨基酸的使用、疏水性、GC 含量和进化限制等各种基于序列的特征影响了 TLR9 与其他 TLR 的分化。祖先序列重建分析还发现,TLR 基因在几个祖先系中的逐渐进化导致了 TLR9 的独特模式。这表明进化分化与突变的逐渐积累导致了 TLR9 的独特模式。
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来源期刊
Immunogenetics
Immunogenetics 医学-免疫学
CiteScore
6.20
自引率
6.20%
发文量
48
审稿时长
1 months
期刊介绍: Immunogenetics publishes original papers, brief communications, and reviews on research in the following areas: genetics and evolution of the immune system; genetic control of immune response and disease susceptibility; bioinformatics of the immune system; structure of immunologically important molecules; and immunogenetics of reproductive biology, tissue differentiation, and development.
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