Abstract
Yellowtail kingfish (Seriola lalandi) is a pelagic marine piscivore with a circumglobal distribution. It is particularly suitable for open ocean aquaculture owing to its large body size, fast swimming, rapid growth, and high economic value. A high-precision genome is of great significance for future genetic breeding research and large-scale aquaculture in the open ocean. PacBio, Illumina, and Hi-C data were combined to assemble chromosome-level reference genome with the size of 648.34 Mb (contig N50: 28.52 Mb). 175 contigs was anchored onto 24 chromosomes with lengths ranging from 12.28 to 34.59 Mb, and 99.79% of the whole genome sequence was covered. The BUSCOs of genome and gene were 94.20 and 95.70%, respectively. Gene families associated with adaptive behaviors, such as olfactory receptors and HSP70 gene families, expanded in the genome of S. lalandi. An analysis of selection pressure revealed 652 fast-evolving genes, among which mkxb, popdc2, dlx6, and ifitm5 may be related to rapid growth traits. The data generated in this study provide a valuable resource for understanding the genetic basis of S. lalandi traits.
Highlights
To develop environmentally friendly and economically sustainable aquaculture, it is necessary to understand the genetic basis of traits that currently limit/enhance development of domestic aquaculture (Rondeau et al, 2013)
Pacific Biosciences (PacBio) CLRs with coverage of 165 × were used for genome assembly
The lengths of the 24 chromosomes ranged from 12.28 to 34.59 megabase pairs (Mb), and 99.79% of the whole genome sequence was covered (Supplementary Table 3)
Summary
To develop environmentally friendly and economically sustainable aquaculture, it is necessary to understand the genetic basis of traits that currently limit/enhance development of domestic aquaculture (Rondeau et al, 2013). There is still limited information on genetic variation on commercially important traits (Peterson et al, 2020). The methods used to develop these resources offer the best possibilities for genetic improvement or culture practices. Third-Generation Sequencing (TGS) has improved this area of research through high quality assemblies and decreasing costs, and this has enabled development of genetic resources for a greater number of species (Huete-Pérez and Quezada, 2013; Lee et al, 2016; Lv et al, 2020)
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