Indian scientists create world’s first AI-designed gene editor for crops – Image for illustrative purposes only (Image credits: Pexels)
New Delhi – A team of Indian scientists has developed what appears to be the first gene-editing tool created entirely through artificial intelligence and specifically optimized for use in plants. The advance, reported this week, builds on earlier AI work from the United States but adapts the technology for agricultural applications where existing tools have often fallen short.
From Protein Design to Plant Performance
The new editors, referred to as plant-optimized AI-designed nucleases or PAiD, were trained on large datasets of CRISPR-like proteins. Researchers then tested them directly in crop species. Early results show the tool can perform several types of precise DNA changes, including gene knockouts, base editing, and prime editing, at levels comparable to the widely used SpCas9 system. Unlike conventional CRISPR tools that rely on bacterial proteins, this version was generated from scratch by algorithms. That approach allowed the team to tailor the protein’s size, specificity, and activity for plant cells, where delivery and expression can be more challenging than in animal or bacterial systems.
Why Plants Needed a Different Approach
Standard gene editors often require extensive optimization before they work reliably in crops. Delivery methods, temperature sensitivity, and off-target effects have limited their use in agriculture. The Indian team addressed these issues by designing the nuclease with plant biology in mind from the outset. Tests across multiple plant loci demonstrated consistent editing efficiency without the need for major modifications. The compact size of the AI-designed protein may also simplify delivery through viral vectors or other methods that avoid tissue culture, potentially lowering costs for breeding programs.
Broader Implications for Crop Development
If further validated, the technology could accelerate the creation of varieties with improved drought tolerance, disease resistance, or nutritional profiles. Because the editor is derived from AI rather than natural bacterial sequences, it may also reduce regulatory and intellectual-property hurdles that have slowed adoption of genome-edited crops in some regions. The work remains at the research stage. Additional field trials and safety assessments will be required before any commercial varieties reach farmers. Still, the demonstration that AI can produce functional, plant-ready gene editors marks a notable step toward more customized tools for sustainable agriculture.
