Evidence map›Paper›PMID 40997294›Full record

ReviewAnnual review of genetics2025

Phylogenomic Approaches to Study Adaptive Evolution in Mammals: From Aging to Aquatic Lifestyles.

Nathan L Clark, Amanda Kowalczyk, Emily E K Kopania, Maria Chikina

Abstract readReview
In one paragraph

Review in Annual review of genetics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. The genetic foundations of convergent traits.Nature reviews. Genetics · 2026
    Review
  2. Article
  3. Parallel Selection for Longevity in Mammals and Birds.bioRxiv : the preprint server for biology · 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.

Nathan L ClarkDepartment of Biological Sciences, University of Pittsburgh, Pittsburgh, Pennsylvania, USA; email: nclark@pitt.edu.
Amanda KowalczykDepartment of Computational and Systems Biology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Emily E K KopaniaDepartment of Biological Sciences, University of Pittsburgh, Pittsburgh, Pennsylvania, USA; email: nclark@pitt.edu.
Maria ChikinaDepartment of Computational and Systems Biology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.

Funding

Title: Functional Annotation of Genomes via Phenotypic Convergence within Large Multi-species AlignmentsR01HG009299 · NHGRI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Maria D Chikina, Nathaniel L Clark · 2017 to 2026
$4.1M
Discovery and characterization of ocular regulatory elements through evolutionary analysisR01EY030546 · NEI · UNIVERSITY OF UTAH · PI CHIKINA, MARIA D, CLARK, NATHANIEL L · 2020 to 2024
$2.4M
NEI NIH HHS R01 EY030546NHGRI NIH HHS R01 HG009299
6 · The paper itself

Abstract

The natural world is full of valuable lessons about genetic adaptation as organisms respond to changing conditions around them. Deciphering these changes is a major goal of evolutionary genetics. Advances have been made through phylogenomic approaches using the wealth of closely related genome sequences in mammals. These studies bring us lessons about the adaptive capacity allowed by the evolutionary process as well as the underlying genetic mechanisms controlling important traits. Diverse methods are now routinely used to identify the genetic basis of these adaptations. These reveal new functions of genes and regulatory regions that have responded to changes in lifestyle, such as aquatic life and flight, as well as major life history axes, such as lifespan. Phylogenomic studies have been equally revealing of specific traits that evolve in response to different selective pressures, such as hair formation and vocal learning. These approaches continue to develop to overcome challenges inherent in information-poor regulatory regions to find changes to gene regulatory networks as well. The development of these approaches is expected to accelerate as new tools, such as machine learning models, are incorporated and deployed on ever denser phylogenies containing new interesting traits.

Indexed as

Adaptation, PhysiologicalAgingBiological EvolutionEvolution, MolecularGenomicsMammalsPhylogenyAnimalsGene Regulatory NetworksGenomeHumansadaptationconvergent evolutionmammalsphylogenomics

Identifiers

PMID40997294
PMCPMC13135810

What Socratic holds

Textmetadata
LicenceTDM
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.