Evidence map›Paper›PMID 41457097›Full record

ArticleJournal of molecular evolution2025

Evolution of the Metazoan Protein Domain Repertoire Revealed by a Birth-Death-Gain Model.

Yuting Xiao, Maureen Stolzer, Larry Wasserman, Dannie Durand

Abstract read
In one paragraph

Article in Journal of molecular evolution, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Perspectives on Orthology During the Quest for Orthologs.Journal of molecular evolution · 2025
    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.

Yuting XiaoBiological Sciences, Carnegie Mellon University, Pittsburgh, PA, 15213, USA. yutingx1@andrew.cmu.edu.
Maureen Stolzer *Biological Sciences, Carnegie Mellon University, Pittsburgh, PA, 15213, USA.
Larry Wasserman *Statistics and Data Science, Machine Learning, Carnegie Mellon University, Pittsburgh, PA, 15213, USA.
Dannie Durand *Biological Sciences, Carnegie Mellon University, Pittsburgh, PA, 15213, USA. durand@cmu.edu.ORCID 0000-0002-3505-6640

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Reconstruction of the ancestral protein repertoire offers valuable insights into the tempo and mode of protein content evolution, but can be highly sensitive to model choice. We used a phylogenetic Birth-Death-Gain model to investigate the evolution of the metazoan protein domain repertoire. Domains, protein modules with a distinct structure and function, represent the basic components of protein repertoire.  Given a species tree and a census of protein domain families in present-day species, we estimated the most likely rates of domain family origination, duplication, and loss. Rates were allowed to vary across species lineages and domain families, decoupling these factors. Statistical hierarchical clustering of family-specific rates reveals groups of domains evolving in concert. Moreover, we observe a strong and significant association between family rate and family function.  Interestingly, families with functions associated with metazoan innovations tend to have the fastest rates. We further inferred the expected ancestral domain content and the history of domain family gains, losses, expansions, and contractions in each species lineage. Our analysis reveals an ongoing process of domain family replacement and resizing, consistent with extensive remodeling of the protein domain repertoire. This stands in contrast to recent reports of widespread loss during metazoan evolution, which were obtained with more constrained models. The use of a powerful, probabilistic Birth-Death-Gain model reveals an unexpected level of genomic plasticity.

Indexed as

Evolution, MolecularModels, GeneticProtein DomainsProteinsAnimalsPhylogenyProteinsBirth-Death-Gain modelEvolutionary ratesProtein domain

Identifiers

PMID41457097
PMCPMC12756402

What Socratic holds

Textmetadata
LicenceCC BY
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.