Genome assembly at chromosome scale with telomere ends for Pearlspot, Etroplus suratensis.

IF 5.8 2区综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES

Scientific Data Pub Date : 2024-11-13 DOI:10.1038/s41597-024-04096-0

Vinaya Kumar Katneni, Karthic Krishnan, Sudheesh K Prabhudas, Roja Jayaraman, Nida Quraishi, Kumaraguru Vasagam, Ashok Kumar Jangam, Jesudhas Raymond Jani Angel, Nimisha Kaikkolante, Kumaravel Jayaraman, S Shekhar Mudagandur

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引用次数: 0

Abstract

The pearlspot, Etroplus suratensis is a climate resilient cichlid fish that exhibits unusual adaptation to salinity. The fish is able to complete full life cycle in diverse salinity habitats ranging from fresh water to marine environments. High-quality primary and phased genome assemblies were generated for pearlspot fish using PacBio HiFi and Arima HiC sequencing technologies, for the first time. The primary assembly is highly contiguous with contig N50 length of 36 Mb. The final assembly is of 1.247 Gb with N50 length of 51.57 Mb and 98% of the genome length anchored to 24 chromosomes. The genome was assessed to be 99.9% complete based on BUSCO evaluation and was predicted to contain 52.96% repeat elements. We have predicted 27,192 protein encoding genes, of which 21,580 were functionally annotated. The genome offers an invaluable resource to understand adaptation of pearlspot fish to diverse salinity habitats.

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珠斑（Etroplus suratensis）带端粒末端的染色体尺度基因组组装。

珍珠斑（Etroplus suratensis）是一种气候适应能力很强的慈鲷鱼，对盐度有着不同寻常的适应能力。这种鱼能够在从淡水到海洋环境的不同盐度生境中完成整个生命周期。利用 PacBio HiFi 和 Arima HiC 测序技术，首次为珍珠斑鱼生成了高质量的初级和阶段性基因组组装。初选序列高度连续，序列 N50 长度为 36 Mb。最终组装结果为 1.247 Gb，N50 长度为 51.57 Mb，基因组长度的 98% 固定在 24 条染色体上。根据 BUSCO 评估，该基因组的完整度为 99.9%，预计含有 52.96% 的重复元件。我们预测了 27,192 个蛋白质编码基因，其中 21,580 个已进行了功能注释。该基因组为了解珍珠斑鱼对不同盐度生境的适应性提供了宝贵的资源。

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来源期刊

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.