Yangyang Liang, Huijuan Liu, Wenxuan Lu, Jing Li, Ting Fang, Na Gao, Cheng Chen, Xiuxia Zhao, Kun Yang, Haiyang Liu
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Chromosome-level genome assembly of the smallscale yellowfin (Plagiognathops microlepis).
The small-scale yellowfin (Plagiognathops microlepis) is a highly valued species in East Asian aquaculture due to its adaptability and high yield. However, the lack of genomic data has impeded genetic research and breeding efforts. In this study, we utilize PacBio Hifi long-read sequencing and Hi-C technologies to construct a highly detailed genome of P. microlepis at the chromosomal level. The assembly encompasses 976.41 Mb, with an exceptional 99.84% distribution across 24 chromosomes. Notably, the contig N50 was 34.41 Mb and scaffold N50 was 38.38 Mb. The completeness of the P. microlepis genome assembly is underscored by a BUSCO score of 98.08%. A total of 25,389 protein-coding genes were identified, with a BUSCO score of 96.98%, and 99.85% of these genes were functionally annotated. Synteny relationships at the chromosome level with Danio rerio and Chanodichthys erythropterus genomes uncover small-scale chromosomal rearrangements. This high-fidelity genome assembly serves as a pivotal resource for forthcoming endeavors such as the genome structure, functional elements, comparative genomics, and evolutionary characteristics of P. microlepis and its relative species.
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.