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Article Abstract

In the course of antibody affinity maturation, germinal centre (GC) B cells mutate their immunoglobulin heavy- and light-chain genes in a process known as somatic hypermutation (SHM). Panels of mutant B cells with different binding affinities for antigens are then selected in a Darwinian manner, which leads to a progressive increase in affinity among the population. As with any Darwinian process, rare gain-of-fitness mutations must be identified and common loss-of-fitness mutations avoided. Progressive acquisition of mutations therefore poses a risk during large proliferative bursts, when GC B cells undergo several cell cycles in the absence of affinity-based selection. Using a combination of in vivo mouse experiments and mathematical modelling, here we show that GCs achieve this balance by strongly suppressing SHM during clonal-burst-type expansion, so that a large fraction of the progeny generated by these bursts does not deviate from their ancestral genotype. Intravital imaging and image-based cell sorting of a mouse strain carrying a reporter of cyclin-dependent kinase 2 (CDK2) activity showed that B cells that are actively undergoing proliferative bursts lack the transient CDK2 'G0-like' phase of the cell cycle in which SHM takes place. We propose a model in which inertially cycling B cells mostly delay SHM until the G0-like phase that follows their final round of division in the GC dark zone, thus maintaining affinity as they clonally expand in the absence of selection.

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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC12058519PMC
http://dx.doi.org/10.1038/s41586-025-08687-8DOI Listing

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In the course of antibody affinity maturation, germinal centre (GC) B cells mutate their immunoglobulin heavy- and light-chain genes in a process known as somatic hypermutation (SHM). Panels of mutant B cells with different binding affinities for antigens are then selected in a Darwinian manner, which leads to a progressive increase in affinity among the population. As with any Darwinian process, rare gain-of-fitness mutations must be identified and common loss-of-fitness mutations avoided.

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