Evidence map›Paper›PMID 42861358›Full record

ArticleiScience2026

Multiple drivers of genomic novelty across ruminants.

Rachel J Kavanagh, Laura D Bertola, Sascha Dreyer Nielsen, Harrison Bo Hua Zhu, Rasmus Heller, Samir Bhatt, David A Duchêne

Abstract read
In one paragraph

Article in iScience, 2026. 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

7 authors.

Rachel J KavanaghSection for Health Data Science & AI, Department of Public Health, University of Copenhagen, Copenhagen, Denmark.
Laura D BertolaNational Centre for Biological Sciences, Bengaluru, Karnataka, India.
Sascha Dreyer NielsenSection for Hologenomics, Globe Institute, University of Copenhagen, Copenhagen, Denmark.
Harrison Bo Hua ZhuSection for Health Data Science & AI, Department of Public Health, University of Copenhagen, Copenhagen, Denmark.
Rasmus HellerSection for Computational and RNA Biology, Department of Biology, University of Copenhagen, Copenhagen, Denmark.
Samir BhattSection for Health Data Science & AI, Department of Public Health, University of Copenhagen, Copenhagen, Denmark.
David A DuchêneSection for Health Data Science & AI, Department of Public Health, University of Copenhagen, Copenhagen, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ruminants are among the most ecologically and economically important groups of mammals and have accumulated some of the most remarkable traits and genomes across metazoans. Using genomic-scale data representing all ruminant families, we examined the traits that explain evolutionary rates across ruminant lineages and genes. Bayesian phylogenetic regression revealed that ruminant genome-wide rates are associated with chromosome number, longevity, sexual dimorphism, and domestication. Orthogonal dimensions of genomic rates showed that genes with the greatest rate change are associated with domestication, suggesting these events have a strong impact on ruminant genome evolution. Decomposition of

Indexed as

clocksdecompositionevolutiongenome evolutionMammalian ratesmammalsmolecular clocksrate decompositionselection

Identifiers

PMID42861358
PMCPMC13654531

What OpenQuestion holds

Textmetadata
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.