ArticleThe Plant cell2018
Resurrected Protein Interaction Networks Reveal the Innovation Potential of Ancient Whole-Genome Duplication.
Article in The Plant cell, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 15 citations in OpenAlex.
- Applications of ancestral sequence reconstruction for understanding the evolution of plant specialized metabolism.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024Review
- JOINTLESS Maintains Inflorescence Meristem Identity in Tomato.Plant & cell physiology · 2024Article
- Reflections on the ABC model of flower development.The Plant cell · 2024Review
- From the archives: BETL, gamma, alpha-an unexpected transporter mediating sucrose transfer in maize, innovation by whole-genome duplication, and cooperative DNA binding by Opaque2.The Plant cell · 2023Article
- Artificial intelligence and machine-learning approaches in structure and ligand-based discovery of drugs affecting central nervous system.Molecular diversity · 2023Review
- Reflections on the Triptych of Meristems That Build Flowering Branches in Tomato.Frontiers in plant science · 2022Article
- Article
- Ancestral sequence reconstruction - An underused approach to understand the evolution of gene function in plants?Computational and structural biotechnology journal · 2021Review
- Evolutionary Variation in MADS Box Dimerization Affects Floral Development and Protein Abundance in Maize.The Plant cell · 2020Article
Corrections and comments
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Authors and funding
9 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The evolution of plants is characterized by whole-genome duplications, sometimes closely associated with the origin of large groups of species. The gamma (γ) genome triplication occurred at the origin of the core eudicots, which comprise ∼75% of flowering plants. To better understand the impact of whole-genome duplication, we studied the protein interaction network of MADS domain transcription factors, which are key regulators of reproductive development. We reconstructed, synthesized, and tested the interactions of ancestral proteins immediately before and closely after the triplication and directly compared these ancestral networks to the extant networks of
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