Evidence map›Paper›PMID 41922352›Full record

ArticleNature communications2026

The genetic architecture of an allosteric hormone receptor.

Maximilian R Stammnitz, Ben Lehner

Abstract read
In one paragraph

Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

2 authors.

Maximilian R StammnitzCentre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Barcelona, Spain.ORCID http://orcid.org/0000-0002-1704-9199
Ben LehnerCentre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Barcelona, Spain. bl11@sanger.ac.uk.ORCID http://orcid.org/0000-0002-8817-1124

Funding

EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 European Research Council (H2020 Excellent Science - European Research Council) ERC Advanced Grant 883742EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 Marie Skłodowska-Curie Actions (H2020 Excellent Science - Marie Skłodowska-Curie Actions) 101107635European Molecular Biology Organization (EMBO) ALTF 544-2021Wellcome Trust (Wellcome) 220540/Z/20/A
6 · The paper itself

Abstract

Many proteins function as switches, transducing the concentrations of environmental chemicals into cellular responses. It is not well understood how signal processing by switches is genetically encoded. Here, using a massively parallel approach, GluePCA, we present >40,000 measurements and a complete map of how mutations alter the quantitative activation function of a receptor switch, the plant hormone sensor PYL1. Close to 90% of missense variants tune the dose-response of the receptor, often causing correlated changes in sensitivity, basal activity, maximum response and induction steepness. Based on theory we predict and then validate the underlying latent mechanism as a change in protein stability. Beyond this, signalling parameters can be independently tuned, with large effects in interface-distal positions and a modular genetic architecture across the receptor's structure. Rare single amino acid substitutions confer phenotypic innovation, including inverted and band-stop activation functions. Our data demonstrate the feasibility of dose-response profile quantification at massive scale and reveal the remarkable evolutionary malleability of a protein switch.

Indexed as

ArabidopsisArabidopsis ProteinsPlant Growth RegulatorsAllosteric RegulationAmino Acid SubstitutionModels, MolecularMutationMutation, MissenseProtein StabilitySignal TransductionArabidopsis ProteinsPlant Growth Regulators

Identifiers

PMID41922352
PMCPMC13216263

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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 Socratic graph.