Evidence map›Paper›PMID 41394578›Full record

ArticlebioRxiv : the preprint server for biology2025

Biophysical constraints on mRNA decay rates shape macroevolutionary divergence in steady-state abundances.

Catherine Felce, Alexander L Cope, Joshua G Schraiber, Madhumitha Krishnaswamy, Lior Pachter, Matt Pennell

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

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

6 authors.

Catherine FelceDivision of Physics, Mathematics and Astronomy, California Institute of Technology, Pasadena, CA, USA.ORCID 0009-0009-9909-6711
Alexander L CopeDepartment of Biological Sciences, Vanderbilt University, Nashville, TN, USA.ORCID 0000-0002-5756-7812
Joshua G SchraiberDepartment of Quantitative and Computational Biology, University of Southern California, Los Angeles, CA, USA.ORCID 0000-0002-7912-2195
Madhumitha KrishnaswamyDepartment of Computational Biology, Cornell University, Ithaca, NY, USA.ORCID 0009-0008-7527-415X
Lior PachterDivision of Biology and Biological Engineering, and Department of Computing and Mathematical Sciences, California Institute of Technology, Pasadena, CA, USA.ORCID 0000-0002-9164-6231
Matt PennellDepartment of Computational Biology, Cornell University, Ithaca, NY, USA.

Funding

Leveraging phylogenetic approaches to investigate the evolution of geneexpressionR35GM151348 · NIGMS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Matthew Wesley Pennell · 2023 to 2026
$1.6M
NIGMS NIH HHS R35 GM151348
6 · The paper itself

Abstract

Evolutionary changes to gene expression are understood to be a major driver of phenotypic divergence between species. Researchers have investigated the drivers of this divergence by fitting evolutionary models to multi-species 'omic' datasets. It is now apparent that steady-state mRNA expression levels show patterns consistent with evolutionary constraints, likely as a consequence of stabilizing selection. However, as all previous work has used bulk RNA measurements, it has been impossible to determine which of the many cellular processes that contribute to steady-state abundances underlie the divergence between species. Here we develop a novel paradigm for addressing this open problem. Using multi-species single-cell expression data and biophysical models, we estimate mRNA transcriptional burst sizes, splicing rates and decay rates across multiple species. We then derive phylogenetic models that describe the divergence of these rates under alternative evolutionary scenarios and fit these to the comparative data. We find evidence for biophysical constraints on the rates of mRNA decay, such that macroevolutionary divergence in expression is primarily a consequence of variation in transcriptional bursting.

Indexed as

Biophysical modelingevolutionary theoryphylogeneticssingle-cell transcriptomics

Identifiers

PMID41394578
PMCPMC12697285

What OpenQuestion 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 OpenQuestion graph.