High-quality chromosome-scale genome assembly of Laudakia wui (Laudakia, Agamidae).

IF 6.9 2区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES
Cong Wei, Yanchao Liu, Le Yang, Diancheng Yang, Shiyang Weng
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引用次数: 0

Abstract

The Laudakia wui, also known as Wui's rock agama, is a species of agamid lizard endemic to Xizang, China, and is distributed within the Yarlung Zangbo River basin in the Nyingchi city. In order to better understand its ecology, population dynamics, and conservation requirements, we have generated a high-quality chromosome-scale genome with genome size of 1.78 Gb (scaffold N50 = 195.02 Mb), and a BUSCO score of 93.2%. We also identified 20,805 protein-coding genes with gene annotation complete BUSCO were 95.7%, of which 96.23% were functionally annotated. In summary, this genomic information of L. wui is crucial for uncovering its unique evolutionary adaptations and understanding its role in the ecosystem, and is essential for developing targeted conservation strategies and managing biodiversity in this ecologically sensitive region.

高质量的龙葵基因组组装(龙葵科)。
Laudakia wui,也被称为wui 's rock agama,是中国西藏特有的一种agamid蜥蜴,分布在林芝市雅鲁藏布江流域。为了更好地了解其生态、种群动态和保护需求,我们构建了高质量的染色体尺度基因组,基因组大小为1.78 Gb (scaffold N50 = 195.02 Mb), BUSCO评分为93.2%。我们还鉴定出基因注释完整的蛋白编码基因20,805个,占95.7%,其中96.23%被功能注释。综上所述,这些基因组信息对于揭示其独特的进化适应性和了解其在生态系统中的作用,以及制定有针对性的保护策略和管理该生态敏感区的生物多样性至关重要。
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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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