Evidence map›Paper›PMID 39773024›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2025

Epistatic hotspots organize antibody fitness landscape and boost evolvability.

Steven Schulz, Timothy J C Tan, Nicholas C Wu, Shenshen Wang

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Evolutionary pathways in epistatic mechanical networks.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  5. Epistatic drift in protein evolution.Current opinion in genetics & development · 2025
    Review
  6. Article
  7. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Steven Schulz *Department of Physics and Astronomy, University of California, Los Angeles, CA 90095.ORCID 0009-0001-2384-894X
Timothy J C Tan *Center for Biophysics and Quantitative Biology, University of Illinois at Urbana-Champaign, Urbana, IL 61801.ORCID 0000-0001-5337-5357
Nicholas C WuCenter for Biophysics and Quantitative Biology, University of Illinois at Urbana-Champaign, Urbana, IL 61801.ORCID 0000-0002-9078-6697
Shenshen WangDepartment of Physics and Astronomy, University of California, Los Angeles, CA 90095.ORCID 0000-0001-9951-2118

Funding

Sequence-function relationship of influenza broadly neutralizing antibodiesR01AI167910 · NIAID · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI Nicholas C. Wu · 2022 to 2026
$2.5M
High-throughput identification of antibody features for sequence-based epitope predictionDP2AT011966 · NCCIH · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI WU, NICHOLAS C. · 2021 to 2024
$2.4M
National Science Foundation (NSF) MCB-2225947National Science Foundation (NSF) PHY-2146581NCCIH NIH HHS DP2 AT011966NIAID NIH HHS R01 AI167910
6 · The paper itself

Abstract

The course of evolution is strongly shaped by interaction between mutations. Such epistasis can yield rugged sequence-function maps and constrain the availability of adaptive paths. While theoretical intuition is often built on global statistics of large, homogeneous model landscapes, mutagenesis measurements necessarily probe a limited neighborhood of a reference genotype. It is unclear to what extent local topography of a real epistatic landscape represents its global shape. Here, we demonstrate that epistatic landscapes can be heterogeneously rugged and this heterogeneity may render biomolecules more evolvable. By characterizing a multipeaked fitness landscape of a SARS-CoV-2 antibody mutant library, we show that heterogeneous ruggedness arises from sparse epistatic hotspots, whose mutation impacts the fitness effect of numerous sequence sites. Surprisingly, mutating an epistatic hotspot may enhance, rather than reduce, the accessibility of the fittest genotype, while increasing the overall ruggedness. Further, migratory constraints in real space alleviate mutational constraints in sequence space, which not only diversify direct paths taken but may also turn a road-blocking fitness peak into a stepping stone leading toward the global optimum. Our results suggest that a hierarchy of epistatic hotspots may organize the fitness landscape in such a way that path-orienting ruggedness confers global smoothness.

Indexed as

COVID-19Epistasis, GeneticEvolution, MolecularMutationSARS-CoV-2Genetic FitnessGenotypeHumanscombinatorial mutagenesisepistasisevolvabilityheterogeneitysequence–function map

Identifiers

PMID39773024
PMCPMC11745389

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.