Spatial expression evolution of duplicated genes post-whole genome duplication in cultivated tomato

The mechanisms by which whole genome duplication contributes to expression divergence of duplicate genes, which can impact the evolution of form and function, has been a long-standing question in evolutionary biology. We compared expression patterns of paralogs derived from the most recent Solanaceae-specific genome triplication event across 23 tissues and inferred ancestral expression states to investigate patterns of expression evolution. While the partitioning of ancestral expression states is traditionally considered the second most common (after the gene loss) trajectory of duplicate expression evolution, we found that the ancestral expression states tended to be retained by most (~66%) duplicates, with ~6% of gene lineages experiencing expression gain events and ~20% experiencing expression losses. The genes that gained expression in fruit tissues are significantly enriched with functions associated with fruit quality. Notably, asymmetrical expression divergence is prevalent among duplicates, especially when ancestral genes were either not expressed or were highly expressed. Our study demonstrates the utility of integrating paralog expression comparisons with phylogenetic analyses to document the potential evolutionary history of spatial expression patterns and gain insight into how expression divergence contributes to the evolution of function across tissues.

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Publication Details

Journal
bioRxiv (Cold Spring Harbor Laboratory)
Published
2026-10-30
DOI
https://doi.org/10.64898/2026.10.28.762560
Primary Topic
Chromosomal and Genetic Variations
Type
preprint

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preprint

Spatial expression evolution of duplicated genes post-whole genome duplication in cultivated tomato

Robert L. Last, Rachel E. Kerwin, Thilanka Ranaweera, Melissa D. Lehti‐Shiu et al.
1 links
bioRxiv (Cold Spring Harbor Laboratory)
Chromosomal and Genetic Variations
preprint

Spatial expression evolution of duplicated genes post-whole genome duplication in cultivated tomato

Robert L. Last, Rachel E. Kerwin, Thilanka Ranaweera, Melissa D. Lehti‐Shiu, Peipei Wang, Shinhan Shiu, Huan Chen
preprint en

Abstract

The mechanisms by which whole genome duplication contributes to expression divergence of duplicate genes, which can impact the evolution of form and function, has been a long-standing question in evolutionary biology. We compared expression patterns of paralogs derived from the most recent Solanaceae-specific genome triplication event across 23 tissues and inferred ancestral expression states to investigate patterns of expression evolution. While the partitioning of ancestral expression states is traditionally considered the second most common (after the gene loss) trajectory of duplicate expression evolution, we found that the ancestral expression states tended to be retained by most (~66%) duplicates, with ~6% of gene lineages experiencing expression gain events and ~20% experiencing expression losses. The genes that gained expression in fruit tissues are significantly enriched with functions associated with fruit quality. Notably, asymmetrical expression divergence is prevalent among duplicates, especially when ancestral genes were either not expressed or were highly expressed. Our study demonstrates the utility of integrating paralog expression comparisons with phylogenetic analyses to document the potential evolutionary history of spatial expression patterns and gain insight into how expression divergence contributes to the evolution of function across tissues.

bioRxiv (Cold Spring Harbor Laboratory)
Agricultural Genomics Institute at Shenzhen (CN), Chinese Academy of Agricultural Sciences (CN), Michigan State University (US)
National Science Foundation, National Natural Science Foundation of China
Chromosomal and Genetic Variations
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Spatial expression evolution of duplicated genes post-whole genome duplication in cultivated tomato — Robert L. Last, Rachel E. Kerwin, et al. · bioRxiv (Cold Spring Harbor Laboratory) (2026) | TGRS Research Map | TGRS