ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2025
PlantGPT: An Arabidopsis-Based Intelligent Agent that Answers Questions about Plant Functional Genomics.
Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- GENIUS-LLM: An evidence-traceable, gene-centered multi-omics inference framework for plant gene function analysis.Plant communications · 2026Article
- Artificial intelligence in plant salt stress research: from predictive models to multi-omics integration.Journal of experimental botany · 2026Review
- An AI-powered knowledge hub for potato functional genomics.Plant communications · 2026Article
- A conversational multi-agent AI system for automated plant phenotyping.Nature communications · 2026Article
- Advances in luminescence-based tracing technologies: applications and future perspectives.Biodesign research · 2026Review
- Review
- Transactivation of AGPL2 by Opaque2 is responsible for starch accumulation and kernel hardness in sweet corn.Journal of experimental botany · 2026Article
- The unacknowledged co-author: LLM-mediated reasoning in plant metabolomics and its systematic blind spots.Frontiers in plant science · 2026Article
- A voyage of reprogrammable metabolic bioengineering reshapes plant defense: from editing tools to synthetic systems.Frontiers in plant science · 2026Review
- DeepPGDB: A novel paradigm for AI-guided interactive plant genomic database.Plant communications · 2025Article
- Sustainable Production of Ginsenosides: Advances in Biosynthesis and Metabolic Engineering.Plants (Basel, Switzerland) · 2025Review
- Programmable genome engineering and gene modifications for plant biodesign.Plant communications · 2025Review
- PlantGPT: An Arabidopsis-Based Intelligent Agent that Answers Questions about Plant Functional Genomics.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Multimodal knowledge expansion widget powered by plant protein phosphorylation database and ChatGPT.Frontiers in bioinformatics · 2025Article
- Innovative opportunities for gene editing technology in crop breeding: from the perspective of literature analysis.Frontiers in plant science · 2025Article
Corrections and comments
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Authors and funding
15 authors.
Funding
Abstract
Research into plant gene function is crucial for developing strategies to increase crop yields. The recent introduction of large language models (LLMs) offers a means to aggregate large amounts of data into a queryable format, but the output can contain inaccurate or false claims known as hallucinations. To minimize such hallucinations and produce high-quality knowledge-based outputs, the abstracts of over 60 000 plant research articles are compiled into a Chroma database for retrieval-augmented generation (RAG). Then linguistic data are used from 13 993 Arabidopsis (Arabidopsis thaliana) phenotypes and 23 323 gene functions to fine-tune the LLM Llama3-8B, producing PlantGPT, a virtual expert in Arabidopsis phenotype-gene research. By evaluating answers to test questions, it is demonstrated that PlantGPT outperforms general LLMs in answering specialized questions. The findings provide a blueprint for functional genomics research in food crops and demonstrate the potential for developing LLMs for plant research modalities. To provide broader access and facilitate adoption, the online tool http://www.plantgpt.icu is developed, which will allow researchers to use PlantGPT in their scientific investigations.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.