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Whole-genome sequencing of 13 Arctic plants and draft genomes of Oxyria digyna and Cochlearia groenlandica

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dc.contributor.authorKim Jun-
dc.contributor.authorLim Jiseon-
dc.contributor.authorKim, Moonkyo-
dc.contributor.authorLee, Yoo Kyung-
dc.date.accessioned2025-10-24T02:47:45Z-
dc.date.available2025-10-24T02:47:45Z-
dc.date.issued2024-
dc.identifier.urihttps://repository.kopri.re.kr/handle/201206/16190-
dc.description.abstractTo understand the genomic characteristics of Arctic plants, we generated 28-44 Gb of short-read sequencing data from 13 Arctic plants collected from the High Arctic Svalbard. We successfully estimated the genome sizes of eight species by using the k-mer-based method (180-894 Mb). Among these plants, the mountain sorrel (Oxyria digyna) and Greenland scurvy grass (Cochlearia groenlandica) had relatively small genome sizes and chromosome numbers. We obtained 45 x and 121 x high-fidelity long-read sequencing data. We assembled their reads into high-quality draft genomes (genome size: 561 and 250 Mb; contig N50 length: 36.9 and 14.8 Mb, respectively), and correspondingly annotated 43,105 and 29,675 genes using similar to 46 and similar to 85 million RNA sequencing reads. We identified 765,012 and 88,959 single-nucleotide variants, and 18,082 and 7,698 structural variants (variant size >= 50 bp). This study provided high-quality genome assemblies of O. digyna and C. groenlandica, which are valuable resources for the population and molecular genetic studies of these plants.en_US
dc.languageEnglishen_US
dc.subject.classificationDasan Stationen_US
dc.titleWhole-genome sequencing of 13 Arctic plants and draft genomes of Oxyria digyna and Cochlearia groenlandicaen_US
dc.title.alternativeWhole-genome sequencing of 13 Arctic plants and draft genomes of Oxyria digyna and Cochlearia groenlandicaen_US
dc.typeArticleen_US
dc.identifier.bibliographicCitationKim Jun, et al. 2024. "Whole-genome sequencing of 13 Arctic plants and draft genomes of Oxyria digyna and Cochlearia groenlandica". <em>SCIENTIFIC DATA</em>, 11(1): 0-0.-
dc.citation.titleSCIENTIFIC DATAen_US
dc.citation.volume11en_US
dc.citation.number1en_US
dc.identifier.doi10.1038/s41597-024-03569-6-
dc.citation.startPage0en_US
dc.citation.endPage0en_US
dc.description.articleClassificationSCIE-
dc.description.jcrRateJCR 2022:15.068en_US
dc.identifier.localId2024-0102-
Appears in Collections  
2022-2022, Development of multi-spectral image analysis technique and RAD-seq and metabolites analysis techniques to understand the response of Svalbard plants to climate change (22-22) / Lee, Yoo Kyung (PE22450)
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