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Results for “hierarchical orthogroups”

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Insights into glandular trichome biology from analysis of organ-specific gene expression programmes in cannabis, hop and tomato.

Glandular trichomes (GTs) are epidermal outgrowths in which diverse specialised (secondary) metabolites are synthesised and stored. Cannabis (Cannabis sativa L.) and its close relative hop (Humulus lupulus L.) have pharmaceutical and industrial significance due to the presence of these metabolites in their GTs. We examined the conservation or divergence of the specific transcriptional programmes underlying GT biology. To achieve this, we generated transcriptome atlases of trichomes, flower, leaf, stem and root for cannabis, hop and tomato. We found that 12.9, 10.1 and 16.8% of cannabis, hop and tomato genes, respectively, were expressed organ/tissue specifically across all organs/tissues. Transcription factors (TFs) on average accounted for 7.5% of the organ-specific transcriptome and likely regulate organ-specific functions. We also conducted weighted gene co-expression network analysis and gene regulatory network (GRN) analysis to identify key regulators of GT function across the species and validated our predictions by DNA affinity purification sequencing for a subset of the cannabis and tomato GT TFs. The GRNs specific to cannabis or hop GTs were enriched for TFs and target genes associated with specialised metabolism, reflecting their species-specific nature. Conversely, the shared GRN components (identified via orthology analysis) were involved in highly conserved processes, such as flavonoid biosynthesis, solute transport and metabolite storage. Together, these GRNs and the associated transcriptome atlases are valuable resources to improve our knowledge of GT function and organ-specific genome regulation.

Solanum lycopersicum

Recent gene duplication and structural remodeling drive rapid lineage-specific gene family evolution in plants.

Gene duplication promotes the generation of novel gene functions and trait diversity across species. Here, we present DupHIST, a computational pipeline that reconstructs the hierarchical timing of gene duplications by integrating maximum likelihood (ML)-based phylogeny with substitution-derived timing via statistical smoothing. Applied to over 4.5 million genes from 114 plant genomes, we successfully inferred duplication histories across nearly 130,000 orthogroups. This large-scale analysis showed that 53.0% of genes arose from recent, lineage-specific duplications, with high concentrations in particular multi-copy families. Among these, NLR, C48, and P450 families exemplified how recently duplicated genes undergo rapid stepwise structural remodeling. This process was primarily driven by small-scale mutations, including insertions, deletions, and frameshifts, that rapidly accumulated shortly after duplication. By resolving the precise duplication order, we reconstructed these architectural changes, thereby enabling both the inference of putative ancestral structures and the exploration of functional diversification arising from structural remodeling. Structure-based clustering further uncovered that recently duplicated, uncharacterized genes retain core domain structures resembling known functional proteins even across phylogenetically distant species lacking sequence homology. Our findings reveal that recent gene duplications and subsequent structural remodeling represent a widespread and lineage-specific force driving rapid diversification of gene families in plants.

Gene duplication history