Chromosome-level genome assembly of the spangled emperor, Lethrinus nebulosus (Forsskål 1775).

IF 5.8 2区综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES

Scientific Data Pub Date : 2025-03-13 DOI:10.1038/s41597-025-04690-w

Lara Parata, Liam Anstiss, Emma de Jong, Adrianne Doran, Richard J Edwards, Stephen J Newman, Samuel D Payet, Craig L Skepper, Corey B Wakefield, Shannon Corrigan

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Abstract

Spangled emperor, Lethrinus nebulosus (Forsskål 1775), is a tropical marine fish of economic and cultural importance throughout the Indo-West Pacific. It is one of the most targeted recreational fishes in the Gascoyne Coast Bioregion of Western Australia where it serves as an indicator species for recreational fishing. Here, we present a highly accurate, near-gapless, chromosome-level, haplotype-phased reference genome assembly of L. nebulosus (Lethrinus nebulosus (Spangled Emperor) genome, fLetNeb1.1; PRJNA1074345), the first for the species and the first high-quality genome representative of the family Lethrinidae. The 1.09 Gb genome was assembled from PacBio HiFi and Dovetail Omni-C proximity ligation sequencing data. The contig N50 is 21-24 Mbp and BUSCO completeness greater than 99%. A preliminary gene annotation identified 24,583 genes with the predicted transcriptome achieving a BUSCO completeness score of 99.1% This resource will facilitate genomic studies to inform the sustainable management of L. nebulosus and other Lethrinids.

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斑纹帝王鱼（Lethrinus nebulosus，Forsskål 1775）是一种热带海鱼，在整个印度-西太平洋地区具有重要的经济和文化价值。在西澳大利亚的加斯科因海岸生物区，它是最受欢迎的休闲鱼类之一，也是休闲捕鱼的指示物种。在这里，我们展示了一个高精度、近乎无间隙、染色体水平、单体型分期的星云鱼（Lethrinus nebulosus (Spangled Emperor) genome, fLetNeb1.1; PRJNA1074345）参考基因组组装，这是该物种的第一个基因组，也是星云鱼科的第一个高质量基因组代表。这个 1.09 Gb 的基因组由 PacBio HiFi 和 Dovetail Omni-C 近接测序数据组装而成。等位基因 N50 为 21-24 Mbp，BUSCO 完整性超过 99%。初步的基因注释确定了 24,583 个基因，预测的转录组的 BUSCO 完整性得分达到 99.1%。该资源将促进基因组研究，为 L. nebulosus 和其他白头翁的可持续管理提供信息。

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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.