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Interactions Between Immune Cell Types Facilitate the Evolution of Immune Traits

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Journal Nature
Specialty Science
Date 2024 Jun 12
PMID 38866051
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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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References
1.
Churchill G, Airey D, Allayee H, Angel J, Attie A, Beatty J . The Collaborative Cross, a community resource for the genetic analysis of complex traits. Nat Genet. 2004; 36(11):1133-7. DOI: 10.1038/ng1104-1133. View

2.
Graham J, Swarts J, Mooney M, Choonoo G, Jeng S, Miller D . Extensive Homeostatic T Cell Phenotypic Variation within the Collaborative Cross. Cell Rep. 2017; 21(8):2313-2325. PMC: 5728448. DOI: 10.1016/j.celrep.2017.10.093. View

3.
Enard D, Cai L, Gwennap C, Petrov D . Viruses are a dominant driver of protein adaptation in mammals. Elife. 2016; 5. PMC: 4869911. DOI: 10.7554/eLife.12469. View

4.
Hall M, Ahmadi K, Norman P, Snieder H, MacGregor A, Vaughan R . Genetic influence on peripheral blood T lymphocyte levels. Genes Immun. 2001; 1(7):423-7. DOI: 10.1038/sj.gene.6363702. View

5.
Zhu X, Feng T, Tayo B, Liang J, Young J, Franceschini N . Meta-analysis of correlated traits via summary statistics from GWASs with an application in hypertension. Am J Hum Genet. 2014; 96(1):21-36. PMC: 4289691. DOI: 10.1016/j.ajhg.2014.11.011. View