Scollr summary
What this paper is about
An experimental evolution model is developed that “replay” over one hundred monoclonal GC reactions, assigning affinities to each cell using deep mutational scanning, and reveals how GCs achieve predictable outcomes by means of noisy but persistent selection on an affinity landscape whose exploration is heavily constrained by somatic hypermutation biases.
Full abstract
Read the full abstract
Darwinian evolution of immunoglobulin genes within germinal centers (GCs) underlies the progressive increase in antibody affinity following antigen exposure. Whereas the cellular mechanics of how competition between B cells increases affinity are well established, the evolutionary dynamics of this process are less clear. We developed an experimental evolution model in which we "replay" over one hundred monoclonal GC reactions, assigning affinities to each cell using deep mutational scanning. Our data reveal how GCs achieve predictable outcomes by means of noisy but persistent selection on an affinity landscape whose exploration is heavily constrained by somatic hypermutation biases. We infer a fitness landscape that quantitatively recapitulates the affinity maturation trajectory of our clone and find that apparent features of GC selection, such as permissiveness to low-affinity lineages and rapid plateauing of affinity, are likely artifacts of survivorship biases that distort our view of how B cell affinity progresses over time.
Direct answer
What can I do from this paper page?
Use this page to scan "Replaying germinal center evolution on a quantified affinity landscape" quickly: start with the summary and abstract, then check the authors, source, topics, and related papers. From here, open Scollr to follow Evolution and Genetic Dynamics research, save the paper, or map adjacent work.
Research areas
Follow related topics
Citation
BibTeX
@article{DeWitt2026Replaying,
title = {Replaying germinal center evolution on a quantified affinity landscape},
author = {William S. DeWitt and Ashni A. Vora and Tatsuya Araki and Jared Galloway and Tanwee Alkutkar and Juliana Bortolatto and Tiago B. R. Castro and Will Dumm and Chris Jennings-Shaffer and Tongqiu Jia and Luka Mesin and Gabriel Ozorowski and Juhee Pae and Duncan Ralph and Jesse D. Bloom and Armita Nourmohammad and Yun S. Song and Tyler N. Starr and Frederick A. Matsen IV and Gabriel D. Victora},
journal = {Cell},
year = {2026},
doi = {10.1016/j.cell.2026.05.013},
url = {https://doi.org/10.1016/j.cell.2026.05.013}
}
FAQ
Using this paper in a discovery workflow
How do I find related work for this paper?
Use the related papers and topic links on this page as starting points. In Scollr, you can also open the paper and build a literature map around its references, citing papers, and related work.
How can I keep up with new Evolution and Genetic Dynamics research papers?
Follow Evolution and Genetic Dynamics research in Scollr. New papers from the topic flow into a personalized feed, and you can save useful studies to revisit later.
Can I cite this paper from this page?
This page includes a static BibTeX block for Replaying germinal center evolution on a quantified affinity landscape. Always verify the DOI, source, and publication details against the publisher record before submitting a manuscript.
Follow this research in Scollr
Follow the topics and authors behind this paper, save useful studies, and build a literature map when you are ready to go deeper.
Get the app