Evidence map›Paper›PMID 42471324›Full record

ArticleNature communications2026

Convergent genomic trajectories shape adaptation to life on land across animal lineages.

Gemma I Martínez-Redondo, Klara Eleftheriadi, Judit Salces-Ortiz, Nuria Escudero, Fernando Ángel Fernández-Álvarez, Belén Carbonetto, Carlos Vargas-Chávez, Raquel García-Vernet, Javier Palma-Guerrero, Libe Rentería and 5 more

Abstract read
In one paragraph

Article in Nature communications, 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

15 authors.

Gemma I Martínez-Redondo *Metazoa Phylogenomics and Genome Evolution Lab, Institute of Evolutionary Biology (CSIC-UPF), Barcelona, Spain. gemma.martinez@ibe.upf-csic.es.ORCID http://orcid.org/0000-0001-5633-8690
Klara Eleftheriadi *Metazoa Phylogenomics and Genome Evolution Lab, Institute of Evolutionary Biology (CSIC-UPF), Barcelona, Spain. klara.eleftheriadi@ibe.upf-csic.es.ORCID http://orcid.org/0000-0002-9111-1616
Judit Salces-OrtizMetazoa Phylogenomics and Genome Evolution Lab, Institute of Evolutionary Biology (CSIC-UPF), Barcelona, Spain.
Nuria EscuderoMetazoa Phylogenomics and Genome Evolution Lab, Institute of Evolutionary Biology (CSIC-UPF), Barcelona, Spain.
Fernando Ángel Fernández-ÁlvarezCentro Oceanográfico de Gijón, Instituto Español de Oceanografía, Gijón, Spain.ORCID http://orcid.org/0000-0002-8679-7377
Belén CarbonettoMetazoa Phylogenomics and Genome Evolution Lab, Institute of Evolutionary Biology (CSIC-UPF), Barcelona, Spain.
Carlos Vargas-ChávezMetazoa Phylogenomics and Genome Evolution Lab, Institute of Evolutionary Biology (CSIC-UPF), Barcelona, Spain.ORCID http://orcid.org/0000-0003-3635-1411
Raquel García-VernetMetazoa Phylogenomics and Genome Evolution Lab, Institute of Evolutionary Biology (CSIC-UPF), Barcelona, Spain.
Javier Palma-GuerreroMetazoa Phylogenomics and Genome Evolution Lab, Institute of Evolutionary Biology (CSIC-UPF), Barcelona, Spain.
Libe RenteríaMetazoa Phylogenomics and Genome Evolution Lab, Institute of Evolutionary Biology (CSIC-UPF), Barcelona, Spain.ORCID http://orcid.org/0009-0006-2989-8864
Iñaki RojoCitizen scientist, Sopelana, Spain.
Cristina ChivaCentre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), Barcelona, Spain.ORCID http://orcid.org/0000-0001-8150-6203
Eduard SabidóCentre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), Barcelona, Spain.ORCID http://orcid.org/0000-0001-6506-7714
Aureliano BombarelyInstituto de Biología Molecular y Celular de Plantas, Valencia, Spain.ORCID http://orcid.org/0000-0001-6257-8914
Rosa FernándezMetazoa Phylogenomics and Genome Evolution Lab, Institute of Evolutionary Biology (CSIC-UPF), Barcelona, Spain. rosa.fernandez@ibe.upf-csic.es.ORCID http://orcid.org/0000-0002-4719-6640

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

How animals repeatedly adapted to life on land is a central question in evolutionary biology. While terrestrialisation occurred independently across animal phyla, it remains unclear whether shared genomic mechanisms underlie these transitions. Here, we combine large-scale comparative genomics, machine learning, and multi-omics data, including proteomics and transcriptomics from stress experiments relevant to terrestrial environmental challenges in 17 species, to investigate the genomic basis of animal terrestrial adaptation. Gene co-expression networks reveal that genes relevant to stress are largely lineage-specific, yet converge in function through the co-option of gene families pre-dating terrestrialisation events. Phylogenomic and machine learning analyses support a dominant role for early-evolving genes, enriched in stress-related functions, paired with a higher gene loss than gain at terrestrialisation nodes. Our findings support a model of lineage-specific genomic changes involving mostly conserved genes that converged at the functional level during the independent transitions to terrestrial life.

Indexed as

Adaptation, PhysiologicalBiological EvolutionGenomeAnimalsEvolution, MolecularGene Regulatory NetworksGenomicsMachine LearningMultiomicsPhylogenyProteomicsStress, PhysiologicalTranscriptome

Identifiers

PMID42471324
PMCPMC13493947

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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.