ArticlePLoS computational biology2016
Tissue-Specificity of Gene Expression Diverges Slowly between Orthologs, and Rapidly between Paralogs.
Article in PLoS computational biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers.
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50 citing papers in PubMed.
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- Gene duplication is associated with gene diversification and potential neofunctionalization in lung cancer evolution.Genome research · 2026Article
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- Robust regression rescues poor phylogenetic decisions.BMC ecology and evolution · 2025Article
- Unveiling the functional fate of duplicated genes through expression profiling and structural analysis.Genome research · 2025Article
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- Competition shapes the landscape of X-chromosome-linked genetic diversity.Nature genetics · 2024Article
- Evolution of tissue-specific expression of ancestral genes across vertebrates and insects.Nature ecology & evolution · 2024Article
- Gene expression supports a single origin of horns and antlers in hoofed mammals.Communications biology · 2024Article
- Evaluating the Performance of Widely Used Phylogenetic Models for Gene Expression Evolution.Genome biology and evolution · 2023Article
- RetroSeeker reveals the characteristics, expression, and evolution of a large set of novel retrotransposons.Advanced biotechnology · 2023Article
- Evolution and phylogenetic distribution of endo-α-mannosidase.Glycobiology · 2023Article
- Evaluating the Performance of Widely Used Phylogenetic Models for Gene Expression Evolution.bioRxiv : the preprint server for biology · 2023Article
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- Interspecific comparison of gene expression profiles using machine learning.PLoS computational biology · 2023Article
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2 authors.
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Abstract
The ortholog conjecture implies that functional similarity between orthologous genes is higher than between paralogs. It has been supported using levels of expression and Gene Ontology term analysis, although the evidence was rather weak and there were also conflicting reports. In this study on 12 species we provide strong evidence of high conservation in tissue-specificity between orthologs, in contrast to low conservation between within-species paralogs. This allows us to shed a new light on the evolution of gene expression patterns. While there have been several studies of the correlation of expression between species, little is known about the evolution of tissue-specificity itself. Ortholog tissue-specificity is strongly conserved between all tetrapod species, with the lowest Pearson correlation between mouse and frog at r = 0.66. Tissue-specificity correlation decreases strongly with divergence time. Paralogs in human show much lower conservation, even for recent Primate-specific paralogs. When both paralogs from ancient whole genome duplication tissue-specific paralogs are tissue-specific, it is often to different tissues, while other tissue-specific paralogs are mostly specific to the same tissue. The same patterns are observed using human or mouse as focal species, and are robust to choices of datasets and of thresholds. Our results support the following model of evolution: in the absence of duplication, tissue-specificity evolves slowly, and tissue-specific genes do not change their main tissue of expression; after small-scale duplication the less expressed paralog loses the ancestral specificity, leading to an immediate difference between paralogs; over time, both paralogs become more broadly expressed, but remain poorly correlated. Finally, there is a small number of paralog pairs which stay tissue-specific with the same main tissue of expression, for at least 300 million years.
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