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Replaying germinal center evolution on a quantified affinity landscape
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Replaying germinal center evolution on a quantified affinity landscape

William S. DeWitt, Ashni A. Vora, Tatsuya Araki +18 more
June 2025
 ·
bioRxiv
 ·
DOI 
10.1101/2025.06.02.656870
94
%
Reproducible
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It ranks in the top 1% of preprints assessed in Immunology this quarter.
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Why this is interesting

By replaying germinal center evolution at scale and assigning affinities to every cell in vivo, this work demonstrates that apparent permissiveness to low-affinity clones and affinity plateauing are survivorship artifacts—overturning foundational assumptions about how antibody maturation unfolds.

QED claims analysis

Summary

Germinal centers achieve reproducible antibody affinity maturation through cumulative imperfect selection acting on a mutational landscape heavily constrained by somatic hypermutation targeting biases, where consistent phenotypic outcomes emerge from highly variable phylogenetic trajectories, and apparent features such as early affinity plateaus and tolerance of low-affinity cells represent survivorship biases in phylogenetic reconstruction rather than true evolutionary dynamics.

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Main Claim 1 –

Identical founders yield highly variable germinal center evolutionary trajectories

Main Claim 2 –

DMS shows deleterious mutations dominate clone 2.1 landscape

Supporting evidence

  • Additive DMS model predicts multi-mutation affinities versus BLI
Main Claim 3 –

SHM targeting and codon accessibility constrain affinity maturation

Supporting evidence

  • Intrinsic SHM mutability is higher in CDRs than framework
Main Claim 4 –

Germinal centers reproducibly increase affinity despite divergent phylogenies

Supporting evidence

  • Affinity-losing SHM variants are rapidly eliminated in germinal centers
  • Clonal bursts arise across affinities and minimally drive maturation

Abstract

Darwinian evolution of immunoglobulin genes within germinal centers (GC) underlies the progressive increase in antibody affinity following antigen exposure. Whereas the mechanics of how competition between GC B cells drives increased affinity are well established, the dynamical evolutionary features of this process remain poorly characterized. We devised an experimental evolution model in which we “replay” over one hundred instances of a clonally homogenous GC reaction and follow the selective process by assigning affinities to all cells using deep mutational scanning. Our data reveal how GCs achieve predictable evolutionary outcomes through the cumulative effects of many rounds of imperfect selection, acting on a landscape shaped heavily by somatic hypermutation (SHM) targeting biases. Using time-calibrated models, we show that apparent features of GC evolution such as permissiveness to low-affinity lineages and early plateauing of affinity are best explained by survivorship biases that distort our view of how affinity progresses over time.

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