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

In folded protein domains, protein function is frequently more conserved than amino acid sequence because highly diverged sequences can fold into equivalent 3D structures with identical function. During evolution, intrinsically disordered protein regions (IDRs) often experience rapid amino acid sequence divergence, but because they do not fold into stable 3D structures, it remains largely 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 found that the central activation domain shows strong conservation of function without conservation of sequence. This conservation of function without conservation of sequence arises from evolutionary turnover (gain and loss) at two length scales. Within the central activation domain, we see turnover of acidic and aromatic residues, but primarily loss of short linear motifs. In the full-length transcription factor, we see turnover of entire activation domains. Stabilizing selection and evolutionary turnover at multiple length scales are likely a general mechanism for conservation of function without conservation of sequence in IDRs.

Authors

Institutions

Publication Details

Journal
PLoS Genetics
Published
2026-03-16
DOI
https://doi.org/10.1371/journal.pgen.1012069
Primary Topic
Fungal and yeast genetics research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Aaron Fultineer, Angelica Lam, Giovani Pimentel-Solorio, Niklas F. C. Hummel et al.
PLoS Genetics
Fungal and yeast genetics research
article

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

Aaron Fultineer, Angelica Lam, Giovani Pimentel-Solorio, Niklas F. C. Hummel, Sanjana R. Kotha, Jordan Stefani, Emily Chase, Max V. Staller, G.F. Hu, Katherine Flug, Marissa Zintel, Aditya Vunnum, Claire J. LeBlanc, Melvin Soriano
article en

Abstract

In folded protein domains, protein function is frequently more conserved than amino acid sequence because highly diverged sequences can fold into equivalent 3D structures with identical function. During evolution, intrinsically disordered protein regions (IDRs) often experience rapid amino acid sequence divergence, but because they do not fold into stable 3D structures, it remains largely 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 found that the central activation domain shows strong conservation of function without conservation of sequence. This conservation of function without conservation of sequence arises from evolutionary turnover (gain and loss) at two length scales. Within the central activation domain, we see turnover of acidic and aromatic residues, but primarily loss of short linear motifs. In the full-length transcription factor, we see turnover of entire activation domains. Stabilizing selection and evolutionary turnover at multiple length scales are likely a general mechanism for conservation of function without conservation of sequence in IDRs.

PLoS GeneticsVol. 22(3)
Technische Universität Darmstadt (DE), Chan Zuckerberg Initiative (United States) (US), University of California, Berkeley (US)
Life in Land
Openalex Percentile: Top 20%
Fungal and yeast genetics research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.