400年前歌德棕榈(Chamaerops humilis L.)的染色体水平组装。

IF 6.9 2区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES
Núria Beltran-Sanz, Stefan Prost, Veronica Malavasi, Silvia Moschin, Carola Greve, Tilman Schell, Tomas Morosinotto, Francesco Dal Grande
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引用次数: 0

摘要

全球生物多样性的急剧下降凸显了保护工作的紧迫性,而植物园在植物的迁地保护中起着至关重要的作用。纪念性植物,如帕多瓦植物园400年历史的歌德棕榈(Chamaerops humilis L.),是具有重要生态和文化价值的重要旗舰物种。在这项研究中,我们利用PacBio HiFi和Arima Hi-C测序技术,首次展示了黄颡鱼染色体水平的基因组组装。该基因组全长4.41 Gbp,支架N50长度为195 Mbp,包含18条伪染色体。重复元件约占基因组的88%,仅长末端重复(LTR)就占63%。共预测和注释了28321个蛋白质编码基因。歌德棕榈基因组组合是探索其文化和历史意义的宝贵资源,也是使这种棕榈在地中海环境中茁壮成长的适应性特征的遗传基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Chromosome-level assembly of the 400-year-old Goethe's Palm (Chamaerops humilis L.).

The rapid decline in global biodiversity highlights the urgent need for conservation efforts, with botanical gardens playing a crucial role in ex situ plant preservation. Monumental plants, such as the 400-year-old Goethe's Palm (Chamaerops humilis L.) at the Padua Botanical Garden serve as vital flagship species with significant ecological and cultural value. In this study, we present the first chromosome-level genome assembly of C. humilis, using PacBio HiFi and Arima Hi-C sequencing technologies. The assembled genome spans 4.41 Gbp with a scaffold N50 length of 195 Mbp and it includes 18 pseudo-chromosomes. Repetitive elements constituted approximately 88% of the genome, with Long Terminal Repeats (LTR) alone comprising 63%. A total of 28,321 protein-coding genes were predicted and annotated. The Goethe's Palm genome assembly is a valuable resource for exploring both its cultural and historical significance, as well as the genetic basis of adaptive traits that allow this palm to thrive in Mediterranean environments.

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来源期刊
Scientific Data
Scientific Data Social Sciences-Education
CiteScore
11.20
自引率
4.10%
发文量
689
审稿时长
16 weeks
期刊介绍: Scientific Data is an open-access journal focused on data, publishing descriptions of research datasets and articles on data sharing across natural sciences, medicine, engineering, and social sciences. Its goal is to enhance the sharing and reuse of scientific data, encourage broader data sharing, and acknowledge those who share their data. The journal primarily publishes Data Descriptors, which offer detailed descriptions of research datasets, including data collection methods and technical analyses validating data quality. These descriptors aim to facilitate data reuse rather than testing hypotheses or presenting new interpretations, methods, or in-depth analyses.
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