Evidence map›Paper›PMID 41384786›Full record

ArticleEvolution; international journal of organic evolution2026

MoleRate: comparing molecular relative evolutionary rates to detect convergent evolution.

Avery G Selberg, Nathan Clark, Anton Nekrutenko, Maria Chikina, Sergei L Kosakovsky Pond

Abstract read
In one paragraph

Article in Evolution; international journal of organic evolution, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Avery G SelbergInstitute for Genomics and Evolutionary Medicine, Temple University, Philadelphia, United States.
Nathan ClarkDepartment of Biological Sciences, University of Pittsburgh, Pittsburgh, United States.ORCID 0000-0003-0006-8374
Anton NekrutenkoDepartment of Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, United States.
Maria ChikinaDepartment of Computational and Systems Biology, University of Pittsburgh, Pittsburgh, United States.
Sergei L Kosakovsky PondInstitute for Genomics and Evolutionary Medicine, Temple University, Philadelphia, United States.ORCID 0000-0003-4817-4029

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
Hypothesis Testing using Phylogenies for the 21st century (equipment supplement)R01GM151683 · NIGMS · TEMPLE UNIV OF THE COMMONWEALTH · PI Spencer V. Muse, ANTON NEKRUTENKO · 2024 to 2026
$1.2M
NHGRI NIH HHS HG009299NHGRI NIH HHS R01 HG009299NIAID NIH HHS AI183870NIGMS NIH HHS R01 GM151683NIH HHS GM151683
6 · The paper itself

Abstract

In comparative evolutionary genomics, faster or slower evolution of a particular gene, site, or branch in a phylogenetic tree, when compared to the appropriate average, has been interpreted as evidence of conservation, functional importance, or adaptation. With large consortia generating hundreds of genomes, there is an opportunity to interrogate these datasets for evidence of accelerated or reduced evolutionary rates in protein-coding genes associated with the presence or absence of a given phenotype (e.g., marine vs. terrestrial, nocturnal vs. diurnal). Such rate shifts can reflect the molecular basis of convergent phenotypic adaptation when they occur repeatedly across independent lineages. Here, we introduce an explicit phylogenetic rate test, MoleRate, for acceleration or reduction of nucleotide or protein evolutionary rates in focal lineages vs. the rest of the phylogeny. Compared to existing methods, MoleRate offers execution, explicit likelihood-based hypothesis testing, and the ability to detect and filter out potentially aberrant signal from single lineages. We demonstrate MoleRate's performance on simulated and empirical data, and apply it to several mammalian phenotypes. We also highlight its visualization capabilities, which enable exploration and communication of results. These analyses show that MoleRate detects biologically significant enrichments in selective pressure on specific functions related to the given phenotype, and that enrichments in selective pressure related to the given phenotype, absent when random lineages are tested.

Indexed as

Evolution, MolecularMammalsModels, GeneticSoftwareAnimalsBiological EvolutionGenomicsPhenotypePhylogenyconvergent evolutionmolecular evolutionphylogenetic comparative methods

Identifiers

PMID41384786
PMCPMC13017963

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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.