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Auteurs principaux: Selberg, Avery G, Clark, Nathan, Nekrutenko, Anton, Chikina, Maria, Kosakovsky Pond, Sergei L
Format: Artículo científico
Langue:en
Publié: Evolution; international journal of organic evolution 2026
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Accès en ligne:https://pubmed.ncbi.nlm.nih.gov/41384786/
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author Selberg, Avery G
Clark, Nathan
Nekrutenko, Anton
Chikina, Maria
Kosakovsky Pond, Sergei L
author_facet Selberg, Avery G
Clark, Nathan
Nekrutenko, Anton
Chikina, Maria
Kosakovsky Pond, Sergei L
Selberg, Avery G
Clark, Nathan
Nekrutenko, Anton
Chikina, Maria
Kosakovsky Pond, Sergei L
collection PubMed - marine biology
contents MoleRate: comparing molecular relative evolutionary rates to detect convergent evolution. Selberg, Avery G Clark, Nathan Nekrutenko, Anton Chikina, Maria Kosakovsky Pond, Sergei L Evolution, Molecular Animals Phylogeny Models, Genetic Phenotype Mammals Software Biological Evolution Genomics 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.
format Artículo científico
id pubmed_41384786
institution PubMed
language en
publishDate 2026
publisher Evolution; international journal of organic evolution
record_format pubmed
spellingShingle MoleRate: comparing molecular relative evolutionary rates to detect convergent evolution.
Selberg, Avery G
Clark, Nathan
Nekrutenko, Anton
Chikina, Maria
Kosakovsky Pond, Sergei L
Evolution, Molecular
Animals
Phylogeny
Models, Genetic
Phenotype
Mammals
Software
Biological Evolution
Genomics
MoleRate: comparing molecular relative evolutionary rates to detect convergent evolution. Selberg, Avery G Clark, Nathan Nekrutenko, Anton Chikina, Maria Kosakovsky Pond, Sergei L Evolution, Molecular Animals Phylogeny Models, Genetic Phenotype Mammals Software Biological Evolution Genomics 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.
title MoleRate: comparing molecular relative evolutionary rates to detect convergent evolution.
topic Evolution, Molecular
Animals
Phylogeny
Models, Genetic
Phenotype
Mammals
Software
Biological Evolution
Genomics
url https://pubmed.ncbi.nlm.nih.gov/41384786/