Unveiling the functional fate of duplicated genes through expression profiling and structural analysis

Gene duplication is a major evolutionary source of functional innovation. Following duplication events, gene copies (paralogs) may undergo various fates, including retention with functional modifications (such as subfunctionalization or neofunctionalization) or loss. When paralogs are retained, this results in complex orthology relationships, including one-to-many or many-to-many. In such cases, determining which one-to-one pair is more likely to have conserved functions can be challenging. It has been proposed that, following gene duplication, the copy that diverges more slowly in sequence is more likely to maintain the ancestral function-referred to here as "the least diverged ortholog (LDO) conjecture." This study explores this conjecture, using a novel method to identify asymmetric evolution of paralogs and applying it to all gene families across the Tree of Life in the PANTHER database. Structural data for over 1 million proteins and expression data for 16 animals and 20 plants are used to investigate functional divergence following duplication. This analysis, the most comprehensive to date, reveals that, whereas the majority of paralogs display similar rates of sequence evolution, significant differences in branch lengths following gene duplication can be correlated with functional divergence. Overall, the results support the least diverged ortholog conjecture, suggesting that the least diverged ortholog tends to retain the ancestral function, whereas the most diverged ortholog (MDO) may acquire a new, potentially specialized role.

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Journal
Genome Research
Published
2025-08-14
DOI
https://doi.org/10.1101/gr.280166.124
Citations
1
Primary Topic
Genomics and Phylogenetic Studies
Type
article

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article

Unveiling the functional fate of duplicated genes through expression profiling and structural analysis

Irene Julca, Paul D. Thomas, Alex Warwick Vesztrocy, Christophe Dessimoz et al.
1 citations
Genome Research
Genomics and Phylogenetic Studies
article

Unveiling the functional fate of duplicated genes through expression profiling and structural analysis

Irene Julca, Paul D. Thomas, Alex Warwick Vesztrocy, Christophe Dessimoz, Natasha Glover
article en
1 citations

Abstract

Gene duplication is a major evolutionary source of functional innovation. Following duplication events, gene copies (paralogs) may undergo various fates, including retention with functional modifications (such as subfunctionalization or neofunctionalization) or loss. When paralogs are retained, this results in complex orthology relationships, including one-to-many or many-to-many. In such cases, determining which one-to-one pair is more likely to have conserved functions can be challenging. It has been proposed that, following gene duplication, the copy that diverges more slowly in sequence is more likely to maintain the ancestral function-referred to here as "the least diverged ortholog (LDO) conjecture." This study explores this conjecture, using a novel method to identify asymmetric evolution of paralogs and applying it to all gene families across the Tree of Life in the PANTHER database. Structural data for over 1 million proteins and expression data for 16 animals and 20 plants are used to investigate functional divergence following duplication. This analysis, the most comprehensive to date, reveals that, whereas the majority of paralogs display similar rates of sequence evolution, significant differences in branch lengths following gene duplication can be correlated with functional divergence. Overall, the results support the least diverged ortholog conjecture, suggesting that the least diverged ortholog tends to retain the ancestral function, whereas the most diverged ortholog (MDO) may acquire a new, potentially specialized role.

Genome ResearchVol. 35(10)
University of Southern California (US), SIB Swiss Institute of Bioinformatics (CH), California Southern University (US), Microsoft Research (United Kingdom) (GB), University of Lausanne (CH)
Novartis Foundation, Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung, Novartis Stiftung für Medizinisch-Biologische Forschung
Industry, innovation and infrastructure
Genomics and Phylogenetic Studies
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