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齿肋赤藓(Syntrichia caninervis)基因组数据

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国家青藏高原科学数据中心2025-01-22 更新2025-03-08 收录
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https://data.tpdc.ac.cn/zh-hans/data/4ee153db-9f58-436b-a9b3-7b5a879ec387
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齿肋赤藓(Syntrichia caninervis)在新疆广泛分布于古尔班通古特沙漠,是维护沙漠生态系统稳定性的关键物种。作为地被植物,齿肋赤藓在防风固沙及沙漠化治理中具有重要作用,且因其“干而不死,死而复生”的极端耐逆特性,展现出显著的应用潜力。本研究利用PacBio高保真(HiFi)和Oxford Nanopore Technologies(ONT)超长读段技术,结合hifiasm和NextDenovo软件进行全基因组De Novo组装,并通过Hi-C构建实现端粒到端粒(T2T)无缺口染色体组装,最终生成长度为323.44 Mb的高质量基因组,N50为24.41 Mb,基因组完整性(BUSCO)达98.1%,准确率(Qv)超过99.999%。数据集包括基因组组装文件(Fasta格式)。本研究成果不仅有助于揭示齿肋赤藓的极端生存能力,还为其遗传资源保护提供了关键支持。

Syntrichia caninervis is widely distributed in the Gurbantunggut Desert of Xinjiang, China, and serves as a keystone species for maintaining the stability of desert ecosystems. As a ground cover plant, it plays a critical role in wind prevention, sand fixation and desertification control. Owing to its extreme stress tolerance trait of "remaining viable after desiccation and reviving upon rehydration" (colloquially described as "dying but not dead, reviving when revived"), it exhibits significant application potential. In this study, PacBio high-fidelity (HiFi) and Oxford Nanopore Technologies (ONT) ultra-long read sequencing technologies were utilized, combined with hifiasm and NextDenovo software for whole-genome de novo assembly. Telomere-to-telomere (T2T) gap-free chromosome assembly was then accomplished via Hi-C scaffolding, ultimately generating a high-quality genome with a total length of 323.44 Mb, a contig N50 of 24.41 Mb, a genome completeness score (BUSCO) of 98.1%, and a base accuracy (Qv) exceeding 99.999%. The dataset comprises genome assembly files in Fasta format. The outcomes of this study not only aid in unraveling the extreme survival capabilities of Syntrichia caninervis, but also provide crucial support for the conservation of its genetic resources.
提供机构:
高贝
创建时间:
2024-11-01
搜集汇总
数据集介绍
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背景与挑战
背景概述
该数据集提供了齿肋赤藓(Syntrichia caninervis)的高质量基因组数据,采用PacBio HiFi和ONT超长读段技术进行组装,基因组长度为323.44 Mb,N50为24.41 Mb,完整性达98.1%。数据集包含基因组组装文件(Fasta格式),旨在支持极端耐逆植物研究和遗传资源保护。
以上内容由遇见数据集搜集并总结生成
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