La plataforma TomViz abre el acceso a las redes reguladoras de genes del tomate

A recent study published in Plant Communications has created detailed maps of gene regulation in various parts of the tomato plant, a crop of significant national and global importance. Led by José David Fernández, a doctor in Integrative Genomics at the Universidad Mayor, the research involved scientists from the Centro de Genómica y Bioinformática (CGB) at the Universidad Mayor, the Millennium Institute iBio, the Millennium Núcleo Phytolearning, and the Instituto de Biología Integrativa de Sistemas (I2SysBio) at the University of Valencia in Spain. The team analyzed data from over 10,000 gene expression libraries obtained from tomato plants exposed to a wide range of experimental conditions.

Using this extensive dataset, the researchers applied machine learning algorithms to infer models of gene regulatory networks. These networks provide a solid framework for generating hypotheses about how gene expression is controlled and how this regulation supports the organism's function. The scientists constructed gene regulatory networks specific to five organs of the tomato plant (root, leaf, flower, fruit, and seed) and identified key regulatory genes that govern the function of each organ.

The study demonstrated that these networks successfully confirmed the central role of well-known genes involved in fruit maturation and responses to the plant hormone abscisic acid (ABA). Additionally, the analysis revealed new candidate regulators with potential key functions in these processes, including SlGBF3, experimentally validated as a central regulator of the tomato's response to water stress.

All the gene regulatory networks generated in this study are available on the public platform TomViz, an interactive tool that allows users to explore the function and regulation of tomato genes and generate new hypotheses in a wide range of biological contexts. This platform opens the door to accelerating the improvement of tomato varieties that are resilient to environmental challenges, paving the way for more sustainable and productive agriculture.

The collaboration between researchers from different institutions highlights the importance of interdisciplinary approaches in advancing our understanding of plant biology. By integrating large-scale gene expression data with advanced computational methods, the study not only uncovered known regulatory pathways but also identified novel genes that could be targeted for crop improvement. This work underscores the potential of systems biology to drive innovation in agriculture and contribute to global food security.

In the context of climate change and increasing demand for food, the ability to develop tomato varieties with enhanced stress tolerance and yield stability is crucial. The TomViz platform provides a valuable resource for plant biologists, geneticists, and breeders to explore gene networks and identify promising targets for genetic manipulation or marker-assisted breeding. By making this information publicly accessible, the research fosters global collaboration and accelerates the translation of scientific discoveries into practical agricultural applications.

In conclusion, the study published in Plant Communications represents a significant advancement in our understanding of tomato gene regulation. By mapping and analyzing gene regulatory networks across different organs, the researchers not only confirmed established pathways but also identified new regulatory genes, such as SlGBF3. The availability of these networks on the TomViz platform positions the scientific community to leverage this knowledge for the development of resilient and high-yielding tomato varieties, ultimately contributing to food security and sustainable agriculture.