Evidence map›Paper›PMID 40397417›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2025

PlantGPT: An Arabidopsis-Based Intelligent Agent that Answers Questions about Plant Functional Genomics.

Ruixiang Zhang, Yu Wang, Weiyang Yang, Jun Wen, Weizhi Liu, Shipeng Zhi, Guangzhou Li, Nan Chai, Jiaqi Huang, Yongyao Xie and 5 more

Abstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Ruixiang ZhangGuangdong Basic Research Center of Excellence for Precise Breeding of Future Crops, Guangdong Laboratory for Lingnan Modern Agriculture, State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, College of Agriculture, College of Life Science, South China Agricultural University, Guangzhou, 510642, China.ORCID https://orcid.org/0009-0003-7234-5040
Yu WangSchool of Life Sciences, Institute for Immunology, State Key Laboratory of Membrane Biology, China Ministry of Education Key Laboratory of Protein Sciences, Tsinghua University, Beijing, 100084, China.
Weiyang YangDepartment of Automation, Tsinghua University, Beijing, 100084, China.
Jun WenGuangdong Basic Research Center of Excellence for Precise Breeding of Future Crops, Guangdong Laboratory for Lingnan Modern Agriculture, State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, College of Agriculture, College of Life Science, South China Agricultural University, Guangzhou, 510642, China.
Weizhi LiuGuangdong Basic Research Center of Excellence for Precise Breeding of Future Crops, Guangdong Laboratory for Lingnan Modern Agriculture, State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, College of Agriculture, College of Life Science, South China Agricultural University, Guangzhou, 510642, China.
Shipeng ZhiDepartment of Medicine, Tsinghua University, Beijing, 100084, China.
Guangzhou LiGuangdong Basic Research Center of Excellence for Precise Breeding of Future Crops, Guangdong Laboratory for Lingnan Modern Agriculture, State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, College of Agriculture, College of Life Science, South China Agricultural University, Guangzhou, 510642, China.
Nan ChaiGuangdong Basic Research Center of Excellence for Precise Breeding of Future Crops, Guangdong Laboratory for Lingnan Modern Agriculture, State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, College of Agriculture, College of Life Science, South China Agricultural University, Guangzhou, 510642, China.
Jiaqi HuangEngineering Research Center of Protection and Utilization of Plant Resources, College of Bioscience and Biotechnology, Shenyang Agricultural University, Shenyang, 110866, China.
Yongyao XieGuangdong Basic Research Center of Excellence for Precise Breeding of Future Crops, Guangdong Laboratory for Lingnan Modern Agriculture, State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, College of Agriculture, College of Life Science, South China Agricultural University, Guangzhou, 510642, China.
Xianrong XieGuangdong Basic Research Center of Excellence for Precise Breeding of Future Crops, Guangdong Laboratory for Lingnan Modern Agriculture, State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, College of Agriculture, College of Life Science, South China Agricultural University, Guangzhou, 510642, China.
Letian ChenGuangdong Basic Research Center of Excellence for Precise Breeding of Future Crops, Guangdong Laboratory for Lingnan Modern Agriculture, State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, College of Agriculture, College of Life Science, South China Agricultural University, Guangzhou, 510642, China.ORCID https://orcid.org/0000-0001-6413-636X
Miao GuDepartment of Automation, Tsinghua University, Beijing, 100084, China.ORCID https://orcid.org/0000-0002-6360-8553
Yao-Guang LiuGuangdong Basic Research Center of Excellence for Precise Breeding of Future Crops, Guangdong Laboratory for Lingnan Modern Agriculture, State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, College of Agriculture, College of Life Science, South China Agricultural University, Guangzhou, 510642, China.ORCID https://orcid.org/0000-0001-9201-2997
Qinlong ZhuGuangdong Basic Research Center of Excellence for Precise Breeding of Future Crops, Guangdong Laboratory for Lingnan Modern Agriculture, State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, College of Agriculture, College of Life Science, South China Agricultural University, Guangzhou, 510642, China.ORCID https://orcid.org/0000-0001-7622-6450

Funding

Biological Breeding-National Science and Technology Major Project 2024ZD0407703Guangdong Basic Research Center of Excellence for Precise Breeding of Future Crops Major Project FCBRCE-202502Guangdong Basic Research Center of Excellence for Precise Breeding of Future Crops Major Project FCBRCE-202504Invigorate the Seed Industry of Guangdong Province 2024-NPY-00-044National Natural Science Foundation of China 32272120
6 · The paper itself

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.

Indexed as

ArabidopsisGenome, PlantGenomicsfunctional genomicslarge language modelsplant gene function retrieval‐augmented generation

Identifiers

PMID40397417
PMCPMC12376578

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.