Plant genome biology is entering a new era defined by fully phased, chromosome-scale, telomere-to-telomere assemblies, enabled by the convergence of long-read sequencing technologies, improved assembly algorithms, and powerful scaffolding strategies. Gapless, haplotype-resolved genomes are now feasible even for polyploid species, shifting the bottleneck from assembly to annotation and interpretation. Genome annotation remains one of the greatest opportunities and challenges in plant biology. While ab initio methods still form the backbone of structural prediction, evidence-based frameworks that integrate RNA sequencing, chromatin accessibility, methylation, and 3D genome data are rapidly advancing the field. At the same time, artificial intelligence-driven protein-coding gene predictors are redefining ab initio gene finding, and large-scale orthology networks continue to improve functional inference. The next frontier is extending annotation beyond protein-coding genes into regulatory and structural dimensions, a goal increasingly enabled by single-cell and multi-omic technologies. Looking forward, the integration of AI, multi-omics, and large language models promises to standardize and automate workflows from DNA isolation to functional annotation. These innovations will accelerate fundamental plant biology discovery, enable next-generation biodiversity conservation, and transform strategies for crop improvement and biotechnology.
山东省济南市章丘区文博路2号
齐鲁师范学院 genelibs生信实验室
山东省济南市高新区舜华路750号
大学科技园北区F座4单元2楼
电话: 0531-88819269