OGU: A Toolbox for Better Utilising Organelle Genomic Data.
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| Natura: | Artículo científico |
| Lingua: | en |
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Molecular ecology resources
2025
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| _version_ | 1868266282453827584 |
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| author | Wu, Ping Xue, Ningning Yang, Jie Zhang, Qiang Sun, Yuzhe Zhang, Wen |
| author_facet | Wu, Ping Xue, Ningning Yang, Jie Zhang, Qiang Sun, Yuzhe Zhang, Wen Wu, Ping Xue, Ningning Yang, Jie Zhang, Qiang Sun, Yuzhe Zhang, Wen |
| collection | PubMed - marine biology |
| contents | OGU: A Toolbox for Better Utilising Organelle Genomic Data. Wu, Ping Xue, Ningning Yang, Jie Zhang, Qiang Sun, Yuzhe Zhang, Wen Software Animals Computational Biology Genomics Phylogeny Organelles Genome, Plastid Organelle genomes serve as crucial datasets for investigating the genetics and evolution of plants and animals, genome diversity, and species identification. To enhance the collection, analysis, and visualisation of such data, we have developed a novel open-source software tool named Organelle Genome Utilities (OGU). The software encompasses three modules designed to streamline the handling of organelle genome data. The data collection module is dedicated to retrieving, validating and organising sequence information. The evaluation module assesses sequence variance using a range of methods, including novel metrics termed stem and terminal phylogenetic diversity. The primer module designs universal primers for downstream applications. Finally, a visualisation pipeline has been developed to present comprehensive insights into organelle genomes across different lineages rather than focusing solely on individual species. The performance, compatibility and stability of OGU have been rigorously evaluated through benchmarking with four datasets, including one million mixed GenBank records, plastid genomic data from the Lamiaceae family, mitochondrial data from rodents, and 308 plastid genomes sourced from various angiosperm families. Based on software capabilities, we identified 30 plastid intergenic spacers. These spacers exhibit a moderate evolutionary rate and offer practical utility comparable to coding regions, highlighting the potential applications of intergenic spacers in organelle genomes. We anticipate that OGU will substantially enhance the efficient utilisation of organelle genomic data and broaden the prospects for related research endeavours. |
| format | Artículo científico |
| id | pubmed_39523951 |
| institution | PubMed |
| language | en |
| publishDate | 2025 |
| publisher | Molecular ecology resources |
| record_format | pubmed |
| spellingShingle | OGU: A Toolbox for Better Utilising Organelle Genomic Data. Wu, Ping Xue, Ningning Yang, Jie Zhang, Qiang Sun, Yuzhe Zhang, Wen Software Animals Computational Biology Genomics Phylogeny Organelles Genome, Plastid OGU: A Toolbox for Better Utilising Organelle Genomic Data. Wu, Ping Xue, Ningning Yang, Jie Zhang, Qiang Sun, Yuzhe Zhang, Wen Software Animals Computational Biology Genomics Phylogeny Organelles Genome, Plastid Organelle genomes serve as crucial datasets for investigating the genetics and evolution of plants and animals, genome diversity, and species identification. To enhance the collection, analysis, and visualisation of such data, we have developed a novel open-source software tool named Organelle Genome Utilities (OGU). The software encompasses three modules designed to streamline the handling of organelle genome data. The data collection module is dedicated to retrieving, validating and organising sequence information. The evaluation module assesses sequence variance using a range of methods, including novel metrics termed stem and terminal phylogenetic diversity. The primer module designs universal primers for downstream applications. Finally, a visualisation pipeline has been developed to present comprehensive insights into organelle genomes across different lineages rather than focusing solely on individual species. The performance, compatibility and stability of OGU have been rigorously evaluated through benchmarking with four datasets, including one million mixed GenBank records, plastid genomic data from the Lamiaceae family, mitochondrial data from rodents, and 308 plastid genomes sourced from various angiosperm families. Based on software capabilities, we identified 30 plastid intergenic spacers. These spacers exhibit a moderate evolutionary rate and offer practical utility comparable to coding regions, highlighting the potential applications of intergenic spacers in organelle genomes. We anticipate that OGU will substantially enhance the efficient utilisation of organelle genomic data and broaden the prospects for related research endeavours. |
| title | OGU: A Toolbox for Better Utilising Organelle Genomic Data. |
| topic | Software Animals Computational Biology Genomics Phylogeny Organelles Genome, Plastid |
| url | https://pubmed.ncbi.nlm.nih.gov/39523951/ |