ArticlePlant biotechnology journal2020
Comparative transcriptomics enables the identification of functional orthologous genes involved in early leaf growth.
Article in Plant biotechnology journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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16 citing papers in PubMed, 43 citations in OpenAlex.
- Investigating GERMs: how genotype, environment, and rhizosphere microbiome interactions underlie heat response in maize and sorghum.The New phytologist · 2026Article
- Serial Spatial Transcriptomes Reveal Regulatory Transitions in Maize Leaf Development.Plant biotechnology journal · 2026Article
- Comparative Transcriptome Reveals Conserved Gene Expression in Reproductive Organs in Solanaceae.International journal of molecular sciences · 2025Article
- Multi-omics signatures of diverse plant callus cultures.Plant biotechnology (Tokyo, Japan) · 2024Article
- Comparative Transcriptome Analysis of T. rubrum, T. mentagrophytes, and M. gypseum Dermatophyte Biofilms in Response to Photodynamic Therapy.Mycopathologia · 2024Article
- Characterization and analysis of multi-organ full-length transcriptomes in Sphaeropteris brunoniana and Alsophila latebrosa highlight secondary metabolism and chloroplast RNA editing pattern of tree ferns.BMC plant biology · 2024Article
- OmicsTIDE: interactive exploration of trends in multi-omics data.Bioinformatics advances · 2023Article
- Identification of growth regulators using cross-species network analysis in plants.Plant physiology · 2022Article
- A common language: Cross-species network analysis reveals growth regulators.Plant physiology · 2022Article
- Article
- R2R3-MYBs in Durum Wheat: Genome-Wide Identification, Poaceae-Specific Clusters, Expression, and Regulatory Dynamics Under Abiotic Stresses.Frontiers in plant science · 2022Article
- Genetic dissection of flowering time in flax (Linum usitatissimum L.) through single- and multi-locus genome-wide association studies.Molecular genetics and genomics : MGG · 2021Article
- Evolutionarily conserved hierarchical gene regulatory networks for plant salt stress response.Nature plants · 2021Article
- Comparative transcriptomics reveals hidden issues in the plant response to arthropod herbivores.Journal of integrative plant biology · 2021Article
- Review
- Plant Soft Rot Development and Regulation from the Viewpoint of Transcriptomic Profiling.Plants (Basel, Switzerland) · 2020Article
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Authors and funding
9 authors at 3 institutions in 2 countries.
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No grant is acknowledged in the PubMed record.
Abstract
Leaf growth is a complex trait for which many similarities exist in different plant species, suggesting functional conservation of the underlying pathways. However, a global view of orthologous genes involved in leaf growth showing conserved expression in dicots and monocots is currently missing. Here, we present a genome-wide comparative transcriptome analysis between Arabidopsis and maize, identifying conserved biological processes and gene functions active during leaf growth. Despite the orthology complexity between these distantly related plants, 926 orthologous gene groups including 2829 Arabidopsis and 2974 maize genes with similar expression during leaf growth were found, indicating conservation of the underlying molecular networks. We found 65% of these genes to be involved in one-to-one orthology, whereas only 28.7% of the groups with divergent expression had one-to-one orthology. Within the pool of genes with conserved expression, 19 transcription factor families were identified, demonstrating expression conservation of regulators active during leaf growth. Additionally, 25 Arabidopsis and 25 maize putative targets of the TCP transcription factors with conserved expression were determined based on the presence of enriched transcription factor binding sites. Based on large-scale phenotypic data, we observed that genes with conserved expression have a higher probability to be involved in leaf growth and that leaf-related phenotypes are more frequently present for genes having orthologues between dicots and monocots than clade-specific genes. This study shows the power of integrating transcriptomic with orthology data to identify or select candidates for functional studies during leaf development in flowering plants.
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