白鸟 (2024-08-31 23:17):
#paper doi: 10.1038/s41586-024-07661-0 Interactions between immune cell types facilitate the evolution of immune traits 宏观上,作者想了解生物自然群体在与病原体做生存斗争,免疫系统是如何进化的?用群体遗传学方法GWAS研究免疫系统。 关键词:免疫,进化; 进化知识: 为了适应性-->基因型变异-->性状表型改变-->物种进化;免疫相关基因进化最快;免疫进化两个因素:个体免疫细胞类型存在差异,免疫进化是不同免疫细胞的相互作用; 整体设计:CC品系群体---GWAS分析;基因型(遗传多样性)<-->表型(免疫细胞丰度占比) 实验设计:8个创始品系骨髓(3个重复);30个重组近交系骨髓(2个重复) 群体:构造一个小型的小鼠自然群体(免疫相关的遗传差异大) 表型:复杂的免疫表型用个体免疫细胞占比表征,CyTOF分析测定9种免疫细胞群比例; 基因型:个体进行SNP芯片检测,芯片SNP只保留免疫相关基因; QTL分析:DOQTL-->获得免疫特征相关的基因位点;重点分析cyto-trans反式基因;
Interactions between immune cell types facilitate the evolution of immune traits
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Abstract:
An essential prerequisite for evolution by natural selection is variation among individuals in traits that affect fitness. The ability of a system to produce selectable variation, known as evolvability, thus markedly affects the rate of evolution. Although the immune system is among the fastest-evolving components in mammals, the sources of variation in immune traits remain largely unknown. Here we show that an important determinant of the immune system's evolvability is its organization into interacting modules represented by different immune cell types. By profiling immune cell variation in bone marrow of 54 genetically diverse mouse strains from the Collaborative Cross, we found that variation in immune cell frequencies is polygenic and that many associated genes are involved in homeostatic balance through cell-intrinsic functions of proliferation, migration and cell death. However, we also found genes associated with the frequency of a particular cell type that are expressed in a different cell type, exerting their effect in what we term cyto-trans. The vertebrate evolutionary record shows that genes associated in cyto-trans have faced weaker negative selection, thus increasing the robustness and hence evolvability of the immune system. This phenomenon is similarly observable in human blood. Our findings suggest that interactions between different components of the immune system provide a phenotypic space in which mutations can produce variation with little detriment, underscoring the role of modularity in the evolution of complex systems.
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