Abstract

The marbled rockfish Sebastiscus marmoratus is an ecologically and economically important marine fish species distributed along the northwestern Pacific coast from Japan to the Philippines. Here, next-generation sequencing was used to generate a whole genome survey dataset to provide fundamental information of its genome and develop genome-wide microsatellite markers for S. marmoratus. The genome size of S. marmoratus was estimated as approximate 800 Mb by using K-mer analyses, and its heterozygosity ratio and repeat sequence ratio were 0.17% and 39.65%, respectively. The preliminary assembled genome was nearly 609 Mb with GC content of 41.3%, and the data were used to develop microsatellite markers. A total of 191,592 microsatellite motifs were identified. The most frequent repeat motif was dinucleotide with a frequency of 76.10%, followed by 19.63% trinucleotide, 3.91% tetranucleotide, and 0.36% pentanucleotide motifs. The AC, GAG, and ATAG repeats were the most abundant motifs of dinucleotide, trinucleotide, and tetranucleotide motifs, respectively. In summary, a wide range of candidate microsatellite markers were identified and characterized in the present study using genome survey analysis. High-quality whole genome sequence based on the “Illumina+PacBio+Hi-C” strategy is warranted for further comparative genomics and evolutionary biology studies in this species.

Highlights

  • The assessment of genetic diversity and structure is one of the major goals of population management and conservation biology [1]

  • A total of 35.1 Gb raw data were generated by sequencing genome survey library with 350 bp inserts

  • The effective rate, error rate, Q20, Q30, and GC content of raw data was shown in Table 1 and Figure 2

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Summary

Introduction

The assessment of genetic diversity and structure is one of the major goals of population management and conservation biology [1] This assessment should ideally be achieved by utilizing polymorphic and informative markers. Next-generation sequencing (NGS) has provided a new perspective for the development of studies of microsatellite markers, owing to its high throughput and speed of data generation. NGS has been applied to genomics-based strategies to discover sequences for new microsatellite markers in animals and plants, in a time- and cost-effective manner [4,5,6,7,8]. Genome survey sequencing (GSS) based on the NGS platform has been proven useful in identifying genome-wide microsatellite markers in non-model species. Genome survey studies provide information about genome structure of organisms, including estimates of genome size, levels of heterozygosity, and repeat contents

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