Advances in sequencing technologies have enabled the generation of vast amounts of genomics data and resources that drive plant research and breeding. The number of sequenced plant species has grown remarkably due to the price drop in sequencing, along with the gain in completeness of genomic references. This was possible thanks to the improvement in sequencing quality of long-reads technology, reaching even telomere-to-telomere genome sequences in non-model species. However, this progress also has significant challenges, such as the management and analysis of these data, the limited capacity for data storage, the unification of nomenclatures, the need for qualified personnel, the proliferation of multiple genome versions, and access to information dispersed in numerous databases. Despite these challenges, these data are paving the way to new frontiers, such as the development of pan-genomic references and the use of artificial intelligence to analyze genetic variability in thousands of varieties. These advances are greatly accelerating research in plant biology and plant breeding, with a significant impact on agriculture and plant science.

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Challenges and Opportunities for Genomic Data Resources

  • Enrique Lopez-Gomez,
  • Amanda Bullones,
  • Javier Santos-del-Rio,
  • Valeria Serrano-García,
  • Noe Fernandez-Pozo

摘要

Advances in sequencing technologies have enabled the generation of vast amounts of genomics data and resources that drive plant research and breeding. The number of sequenced plant species has grown remarkably due to the price drop in sequencing, along with the gain in completeness of genomic references. This was possible thanks to the improvement in sequencing quality of long-reads technology, reaching even telomere-to-telomere genome sequences in non-model species. However, this progress also has significant challenges, such as the management and analysis of these data, the limited capacity for data storage, the unification of nomenclatures, the need for qualified personnel, the proliferation of multiple genome versions, and access to information dispersed in numerous databases. Despite these challenges, these data are paving the way to new frontiers, such as the development of pan-genomic references and the use of artificial intelligence to analyze genetic variability in thousands of varieties. These advances are greatly accelerating research in plant biology and plant breeding, with a significant impact on agriculture and plant science.