Evidence map›Paper›PMID 39677729›Full record

ArticlebioRxiv : the preprint server for biology2025

Evolutionary turnover of key amino acids explains conservation of function without conservation of sequence in transcriptional activation domains.

Claire LeBlanc, Jordan Stefani, Melvin Soriano, Angelica Lam, Marissa A Zintel, Sanjana R Kotha, Emily Chase, Giovani Pimentel-Solorio, Aditya Vunnum, Katherine Flug and 3 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors.

Claire LeBlancDepartment of Molecular and Cell Biology, University of California Berkeley, Berkeley, 94720.
Jordan StefaniDepartment of Molecular and Cell Biology, University of California Berkeley, Berkeley, 94720.
Melvin SorianoDepartment of Molecular and Cell Biology, University of California Berkeley, Berkeley, 94720.
Angelica LamDepartment of Molecular and Cell Biology, University of California Berkeley, Berkeley, 94720.
Marissa A ZintelDepartment of Molecular and Cell Biology, University of California Berkeley, Berkeley, 94720.
Sanjana R KothaDepartment of Molecular and Cell Biology, University of California Berkeley, Berkeley, 94720.
Emily ChaseDepartment of Molecular and Cell Biology, University of California Berkeley, Berkeley, 94720.
Giovani Pimentel-SolorioDepartment of Molecular and Cell Biology, University of California Berkeley, Berkeley, 94720.
Aditya VunnumDepartment of Molecular and Cell Biology, University of California Berkeley, Berkeley, 94720.
Katherine FlugDepartment of Molecular and Cell Biology, University of California Berkeley, Berkeley, 94720.
Aaron FultineerDepartment of Physics, University of California Berkeley, Berkeley, 94720.
Niklas HummelDepartment of Biology, Technische Universität Darmstadt, Darmstadt, Germany.
Max V StallerDepartment of Molecular and Cell Biology, University of California Berkeley, Berkeley, 94720.ORCID 0000-0001-9094-5697

Funding

Molecular Biology Across Scales Training ProgramT32GM148378 · NIGMS · UNIVERSITY OF CALIFORNIA BERKELEY · PI David Bilder, Elcin Unal · 2023 to 2026
$7.3M
Biophysics Training ProgramT32GM146614 · NIGMS · UNIVERSITY OF CALIFORNIA BERKELEY · PI James H Hurley, Ahmet Yildiz · 2023 to 2026
$2.5M
Defining the protein sequence features that control transcriptional activation domain functionR35GM150813 · NIGMS · UNIVERSITY OF CALIFORNIA BERKELEY · PI Max Valentin Staller · 2023 to 2026
$1.5M
NIGMS NIH HHS R35 GM150813NIGMS NIH HHS T32 GM146614NIGMS NIH HHS T32 GM148378
6 · The paper itself

Abstract

Protein function is canonically believed to be more conserved than amino acid sequence, but this idea is only well supported in folded domains, where highly diverged sequences can fold into equivalent 3D structures with identical function. Intrinsically disordered protein regions (IDRs) often experience rapid amino acid sequence divergence, but because they do not fold into stable 3D structures, it remains unknown when and how function is conserved. As a model system for studying the evolution of IDRs, we examined transcriptional activation domains, the regions of transcription factors that bind to coactivator complexes. We systematically identified activation domains on 502 homologs of the transcriptional activator Gcn4 spanning 600 MY of fungal evolution in the Ascomycota. We find that the central activation domain shows strong conservation of function without conservation of sequence. We identify the molecular mechanism for this conservation of function without conservation of sequence: evolutionary turnover (gain and loss) of acidic and aromatic residues that are important for function. We further see turnover of complete N-terminal activation domains. This turnover at two length scales confounds multiple sequence alignments, explaining why traditional comparative genomics cannot detect functional conservation of activation domains. Evolutionary turnover of key residues is likely a general mechanism for conservation of function without conservation of sequence in IDRs.

Indexed as

activation domainsevolutionevolutionary turnoverhigh-throughput assaysIntrinsically disordered proteinstranscriptiontranscription factor

Identifiers

PMID39677729
PMCPMC11642888

What OpenQuestion 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 OpenQuestion graph.