Summary:

- This article reports on a study that used machine learning to analyze the genomic features of over 100,000 plant species to predict their photosynthetic pathways.
- The researchers developed a deep learning model that can accurately predict whether a plant species uses the C3, C4, or CAM photosynthetic pathway based on its genomic data, without the need for direct experimental measurements.
- This tool could help accelerate the understanding of plant evolution and adaptation, as well as aid in the development of more efficient crops and bioenergy sources.