A chromosome-level genome assembly of Cape hare (Lepus capensis).

IF 5.8 2区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES
Xianggui Dong, Yu Liu, Yuan Chen, Xinxin Ping, Zhanjun Ren, Yuanyuan Zhang
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引用次数: 0

Abstract

The Cape hare (Lepus capensis) is among the most widely distributed hare species globally, inhabiting extensive regions across Africa, the Middle East, and Central Asia. However, evolutionary and genetic research on L. capensis was seriously impeded by the absence of a reference genome. Here, we assembled and constructed a chromosome-level genome of L. capensis (with scaffolds anchored to 25 chromosomes and a total assembled length of 2.9 Gb, achieving a contig N50 length of 124.44 Mb) using PacBio HiFi sequencing and Hi-C assembly technology. Evaluation using BUSCO indicated the genome assembly to be 98.2% complete. The de novo prediction revealed that repetitive sequences constitute 46.13% of the entire genome, and long interspersed nuclear elements (LINEs) constituted the largest portion. We annotated a total of 13, 868 protein-coding genes using transcriptomes from two tissues (muscle and skin). This high-quality reference genome serves as a valuable genomic resource for advancing genetic studies in this species.

开普野兔(Lepus capensis)染色体级基因组组装。
开普兔(Lepus capensis)是全球分布最广的野兔物种之一,栖息在非洲、中东和中亚的广大地区。然而,由于缺乏参考基因组,开普兔的进化和遗传研究受到严重阻碍。在这里,我们利用 PacBio HiFi 测序和 Hi-C 组装技术组装并构建了 L. capensis 的染色体级基因组(支架锚定在 25 条染色体上,总组装长度为 2.9 Gb,等位基因 N50 长度为 124.44 Mb)。使用 BUSCO 进行的评估表明,基因组组装完成了 98.2%。从头预测结果显示,重复序列占整个基因组的 46.13%,而长穿插核元素(LINEs)占了最大部分。我们利用两种组织(肌肉和皮肤)的转录组共注释了 13 868 个编码蛋白质的基因。这个高质量的参考基因组是推进该物种遗传研究的宝贵基因组资源。
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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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