Xia Wangxiao, Xu Hao, Liu Yaowen, Jiang Hui, Shi Jing, Wu Yonghong, Yu Yameng, Li Xiaomin, Fan Wenbo, Zhang Yuanwei, Xu Lixian
State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, National Clinical Research Center for Oral Diseases, Shaanxi Engineering Research Center for Dental Materials and Advanced Manufacture, Department of Anesthesiology, School of Stomatology, The Fourth Military Medical University, Xi'an, 710032, China.
Shaanxi Key Laboratory of Brain Disorders, Institute of Basic Translational Medicine, Xi'an Medical University, Xi'an, 710021, China.
Sci Data. 2025 Jul 1;12(1):1091. doi: 10.1038/s41597-025-05273-5.
Suckermouth catfishes, with their evolved powerful features, have become notorious invasive species, causing significant damage to aquatic ecosystems. However, the lack of high-quality genomes severely restricts research on this group within the field. In this study, we de novo assembled the chromosome-level genome assembly of Pterygoplichthys pardalis using multiple platforms of sequencing data, including Illumina short reads, Nanopore long reads, and Hi-C sequencing reads, resulting in a 1.51 Gb genome assembly. Multiple evaluations, including read mapping ratio (98.52%), transcript mapping ratio (99.61%), conserved BUSCO gene set (98.8%), and N50 score (49.47 Mb), indicated the high continuity and accuracy of the genome assembly we generated. Genome annotation found that 0.97 Gb of genome sequences are repetitive sequences, accounting for 64.47% of the genome assembly. Further, 23,859 protein-coding genes were successfully predicted, 92.92% of which could be annotated in functional databases. This high-quality genome assembly of P. pardalis provides a valuable resource for understanding the genetic underpinnings of P. pardalis's invasive success and offers critical data for future fisheries research and management.
吸盘鲶鱼凭借其进化出的强大特征,已成为臭名昭著的入侵物种,对水生生态系统造成了重大破坏。然而,缺乏高质量的基因组严重限制了该领域对这一群体的研究。在本研究中,我们使用包括Illumina短读长、Nanopore长读长和Hi-C测序读长在内的多个测序数据平台,从头组装了豹纹翼甲鲶的染色体水平基因组组装,得到了一个1.51 Gb的基因组组装。包括读段映射率(98.52%)、转录本映射率(99.61%)、保守的BUSCO基因集(98.8%)和N50得分(49.47 Mb)在内的多项评估表明,我们生成的基因组组装具有高连续性和准确性。基因组注释发现,0.97 Gb的基因组序列是重复序列,占基因组组装的64.47%。此外,成功预测了23,859个蛋白质编码基因,其中92.92%可在功能数据库中注释。豹纹翼甲鲶的这一高质量基因组组装为理解其入侵成功的遗传基础提供了宝贵资源,并为未来的渔业研究和管理提供了关键数据。