植物基因组语言模型的研究进展与应用OA

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.