Evidence map›Paper›PMID 41123994›Full record

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

Parallel shifts in differential gene expression reveal convergent miniaturization in fishes.

Emily M Troyer, William T White, Ricardo Betancur-R, Dahiana Arcila

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 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. Parallel shifts in differential gene expression reveal convergent miniaturization in fishes.Proceedings of the National Academy of Sciences of the United States of America · 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.

Emily M TroyerDepartment of Biology, University of Oklahoma, Norman, OK 73019.ORCID 0000-0001-7478-2306
William T WhiteCommonwealth Scientific and Industrial Research Organisation, Australian National Fish Collection, National Research Collections Australia, Hobart, TAS 7001, Australia.ORCID 0000-0001-9705-2453
Ricardo Betancur-RScripps Institution of Oceanography, University of California San Diego, La Jolla, CA 92093.
Dahiana ArcilaScripps Institution of Oceanography, University of California San Diego, La Jolla, CA 92093.ORCID 0000-0002-5126-1345

Funding

NSF (NSF) 1932759NSF (NSF) 2015404NSF (NSF) 2144325NSF (NSF) 2225130
6 · The paper itself

Abstract

Body size variation in vertebrates is a complex polygenic trait, tightly correlated with numerous aspects of a species' biology, ecology, and physiology. Miniaturization, the extreme reduction of adult body size, is a common phenomenon across the Tree of Life, yet the mechanisms underlying this process are poorly understood. Here, we investigate the molecular basis of body size evolution in goby fishes, a clade encompassing some of the smallest vertebrates on Earth. We generate a genome-wide phylogeny for 162 Gobioidei species and perform comparative transcriptomics across three clades with repeated instances of miniaturization and large-bodied forms. We identified 54 differentially expressed one-to-one orthologs between miniature and large-bodied species. These genes reveal distinct functional profiles, suggesting that regulation of cell numbers is a key mechanism governing body size control. Miniature species consistently overexpress growth inhibitors like

Indexed as

Body SizeFishesGene Expression RegulationPerciformesAnimalsBiological EvolutionMiniaturizationPhylogenyTranscriptomebody sizefishesmacroevolutionminiaturizationtranscriptomics

Identifiers

PMID41123994
PMCPMC12582303

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.