植物学报2026，Vol.61Issue(4)：571-587,17.DOI:10.3724/CBB-2026-0060
植物基因组语言模型的研究进展与应用
Plant Genomic Language Models:Advances and Applications
摘要
Abstract
The development of large language models(LLMs)has opened new avenues for genomics research,leading to the emergence of genomic language models(gLMs).gLMs treat genomic data as a biological language with intrinsic grammar,learning the regulatory logic embedded within the genome and offering new approaches for the systematic dissection of genetic regulatory mechanisms.This review focuses on the theoretical foundations and current research landscape of plant genomic language models,and discusses major research directions:the application of cross-species pretrained models to variant effect prediction and functional element annotation,the development of models tailored to single-cell data,and strategies for integrating multimodal genomic information.We further discuss how plant-specific genomic features,particularly repetitive elements and polyploidy,affect model construction,and review modeling strate-gies and deployment frameworks.We conclude with a perspective on the future development of plant genomic language models.关键词
植物基因组学/人工智能/大语言模型/多组学/遗传变异Key words
plant genomics/artificial intelligence/large language models/multi-omics/genetic variation引用本文复制引用
张枭,李琼,王楠..植物基因组语言模型的研究进展与应用[J].植物学报,2026,61(4):571-587,17.基金项目
国家自然科学基金(No.32302498) （No.32302498）
