Evidence map›Paper›PMID 41092135›Full record

ArticleGenome biology and evolution2025

Under the Shadow: Old-biased Genes Are Subject to Weak Purifying Selection at Both the Tissue- and Cell Type-Specific Levels.

Nisan Yıldız, Hamit İzgi, Firuza Rahimova, Umut Berkay Altıntaş, Zeliha Gözde Şahin, Mehmet Somel

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Article in Genome biology and evolution, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

1 citing paper in PubMed.

  1. Evolutionary genetics of ageing.Nature reviews. Genetics · 2026
    Review
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

6 authors.

Nisan YıldızDepartment of Biological Sciences, Middle East Technical University, Ankara 06800, Turkey.ORCID 0000-0002-5880-1869
Hamit İzgiDepartment of Biological Sciences, Middle East Technical University, Ankara 06800, Turkey.ORCID 0000-0002-4030-3132
Firuza RahimovaDepartment of Biological Sciences, Middle East Technical University, Ankara 06800, Turkey.ORCID 0009-0002-3859-5241
Umut Berkay AltıntaşDepartment of Biological Sciences, Middle East Technical University, Ankara 06800, Turkey.ORCID 0000-0002-0861-5013
Zeliha Gözde ŞahinDepartment of Biological Sciences, Middle East Technical University, Ankara 06800, Turkey.ORCID 0000-0001-8312-7725
Mehmet SomelDepartment of Biological Sciences, Middle East Technical University, Ankara 06800, Turkey.ORCID 0000-0002-3138-1307

Funding

Center for the Human PastSwedish Research Council 2022-06620_VRVR Center of ExcellenceWenner-Gren Visiting Research Fellowship GFOh2024-0045YÖK
6 · The paper itself

Abstract

The mutation accumulation hypothesis suggests that weakened purifying selection at old age leads to the accumulation of late-acting deleterious variants in the gene pool, which may contribute to the evolution of ageing. In accordance with this model, others and we have shown that sequence conservation among old-biased genes (with higher expression in old vs. young adults) is weaker than among young-biased genes across several mammalian and insect species. However, it has remained unclear whether the observed patterns were driven by tissue and cell type composition shifts or by cell-autonomous expression changes during ageing. How wide this trend would extend to nonmammalian metazoan ageing was also uncertain. Here we analyzed bulk tissue as well as cell type-specific RNA sequencing data from diverse animal taxa across six different datasets from five species. We show that the previously reported age-related decrease in transcriptome conservation is commonly found in ageing tissues of nonmammalian species, including nonmammalian vertebrates (chicken brain, killifish liver and skin) and invertebrates (fruit fly brain). Analyzing cell type-specific transcriptomes of adult mice, we further detect the same age-related decrease in transcriptome conservation trend at the single-cell type level. Old-biased genes are less conserved across most cell types analyzed in the lung, brain, liver, muscle, kidney, and skin, and these include both tissue-specific cell types, and also ubiquitous immune cell types. Our results support the notion that ageing in metazoan tissues is shaped by the mutation accumulation process.

Indexed as

AgingSelection, GeneticTranscriptomeAnimalsEvolution, MolecularMiceOrgan Specificitycell type compositionevolution of ageingmutation accumulationselection shadowsingle-celltranscriptomics

Identifiers

PMID41092135
PMCPMC12569596

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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.