Plant genome assembly and annotation.
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PubMed
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| Natura: | Artículo científico |
| Lingua: | en |
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Current opinion in plant biology
2026
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| _version_ | 1868266087547666432 |
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| author | Michael, Todd P |
| author_facet | Michael, Todd P Michael, Todd P |
| collection | PubMed - marine biology |
| contents | Plant genome assembly and annotation. Michael, Todd P Genome, Plant Molecular Sequence Annotation Plants 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. |
| format | Artículo científico |
| id | pubmed_41678991 |
| institution | PubMed |
| language | en |
| publishDate | 2026 |
| publisher | Current opinion in plant biology |
| record_format | pubmed |
| spellingShingle | Plant genome assembly and annotation. Michael, Todd P Genome, Plant Molecular Sequence Annotation Plants Plant genome assembly and annotation. Michael, Todd P Genome, Plant Molecular Sequence Annotation Plants 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. |
| title | Plant genome assembly and annotation. |
| topic | Genome, Plant Molecular Sequence Annotation Plants |
| url | https://pubmed.ncbi.nlm.nih.gov/41678991/ |