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. 2024 Mar 13;9(3):338–341. doi: 10.1080/23802359.2024.2324929

The complete mitochondrial genome of Hyperhalosydna striata (Kinberg, 1856) (Annelida: Polynoidae) collected from Jejudo Island, Korea

Kwang-Soo Kim a, Jiseon Park b, Taeseo Park a,✉
PMCID: PMC10939100  PMID: 38487810

Abstract

The mitogenome sequence of Hyperhalosydna striata was determined for the first time in the present study. The genome is 15,226 bp long and contains 13 protein-coding genes (PCGs), two ribosomal RNA genes (rRNAs), and 22 transfer RNA genes (tRNA). The overall base composition was 28.0% A, 21.9% C, 13.0% G, and 37.1% T. A phylogenetic tree was constructed to infer the phylogenetic position of H. striata among polynoid species whose mitochondrial genome sequences are available in GenBank. Hyperhalosydna striata was closely related to the species of subfamily Lepidonotinae.

Keywords: Annelida, Polynoidae, phylogeny, scale worm

Introduction

The scale worm, Hyperhalosydna striata (Kinberg 1856), belongs to the family Polynoidae Kinberg, 1856. It is easily distinguished from its congeners by the presence of stripes on the elytra. They are known to be free-living or to live in association with other polychaetes, such as eunicids (Hanley and Bruke 1991; Park et al. 2016). The type locality of H. striata is Jackson Port, Sydney, Australia (Kinberg 1856). However, this species is widely distributed throughout the South Pacific and the Indo-West Pacific, including Asian Waters (Grube 1876; McIntosh 1885; Moore 1903; Augener 1922; Fauvel 1932; Knox 1951; Imajima and Hartman 1964; Pillai 1965; Uschakov 1982; Uchida 1988; Imajima 2001; Wehe 2006; Park et al. 2016).

Recently, mitochondrial genomes have been used for phylogenetic and evolutionary studies of the highly diverse Polynoidae (Zhang et al. 2018; Gonzalez et al. 2021). However, studies are still scarce. For this reason, an additional complete mitogenome of the polynoid species H. striata was analyzed in this study.

Materials and methods

The specimen was collected by scuba diving in a subtidal rocky zone (depth 18 m) of Jejudo Island (33°13′41.29″N, 126°33′41.29″E, Munseom Islet, Seogwipo-si, South Korea) (Figure 1). Species identification was performed under a stereomicroscope based on the description of Park et al. (2016). The specimen was deposited at the National Institute of Biological Resources (NIBR, http://www.nibr.go.kr/, Eun-Jung Nam, ejnam@korea.kr), Republic of Korea (NIBRIV0000902986). Genomic DNA was extracted from the pygidium of the specimen using the DNeasy Blood and Tissue kit (Qiagen, Hilden, Germany). REPLI-g Mitochondrial DNA Kit (Qiagen, Hilden, Germany) was used for mitochondrial DNA amplification, and mitochondrial genome sequencing was performed using the NovaSeq 6000 sequencing system (Illumina, San Diego, CA). Phylogenetic analysis was conducted to examine the phylogenetic position of H. striata using MEGA X software (Kumar et al. 2018). The tree was reconstructed using the ML method using the GTR + G + I model with 1000 bootstrap replicates. Illumina sequencing data of Hyperhalosydna striata were mapped on H. striata mitochondrial genome sequence and depth of mapped reads was calculated respectively using clc_ref_assemble and clc_mapping_info with default parameters in CLC Assembly Cell package ver. 4.2.1 (Qiagen, Aarhus, Denmark). Assembler and annotation tools, NOVOPlasty (Dierckxsens et al. 2017) and Chlorobox (Tillich et al. 2017), were used, respectively.

Figure 1.

Figure 1.

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Underwater image of the Hyperhalosydna striata. The photo was taken by TP, a corresponding author of this paper.

Results and discussion

The complete mitogenome of H. striata (GenBank accession no. MW620990) was 15,226 bp long and consisted of 13 protein-coding genes (PCGs), two ribosomal RNA (rRNA) genes, and 22 transfer RNA (tRNA) genes (Figure 2). The overall nucleotide composition was 28.0% A, 21.9% C, 13.0% G, and 37.1% T, with high G + C content (65.1%). The average mapping depth is ×410,057 (Figure S1). The phylogenetic tree results showed that H. striata sister was cluster to the Lepidonotinae species (Halosydna sp., Lepidonotus sp.) (Figure 3).

Figure 2.

Figure 2.

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Schematic map of overall features of the H. striata mitochondrial genome.

Figure 3.

Figure 3.

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Maximum-likelihood (ML) tree reconstructed using a concatenated data set of 13 protein-coding genes based on 14 mitogenome sequences, including Hyperhalosydna striata from the present study. Bootstrap replicates were performed 1000 times. The GenBank accession number of each species is shown in parentheses after the species name. The following sequences were used: Hyperhalosydna striata MW620990, Arctonoe vittata MZ131647 (Park et al. 2021), Melaenis sp. KY753829 (Zhang et al. 2018), Drieschia cf. elegans MW794259 (Gonzalez et al. 2021), Halosydna sp. KY753830 (Zhang et al. 2018), Lepidonotus sp. KY753831 (Zhang et al. 2018), Branchipolynoe pettibonae KY753825 (Zhang et al. 2018), B. longqiensis KY753826 (Zhang et al. 2018), Branchinotogluma japonicus KY753824 (Zhang et al. 2018), Lepidonotopodium okinawae KY753838 (Zhang et al. 2018), Levensteiniella iris KY753827 (Zhang et al. 2018), Pelagomacellicephala iliffei MW794261 (Gonzalez et al. 2021), and Gesiella jameensis MW794260 (Gonzalez et al. 2021).

Supplementary Material

Supplemental Material
TMDN_A_2324929_SM5654.png (45.6KB, png)

Funding Statement

This work was supported by a Grant [NIBR202313101] from the National Institute of Biological Resources (NIBR), Ministry of Environment of Republic of Korea.

Ethical approval

The material of this paper does not involve ethical conflicts. Hyperhalosydna striata is neither endangered on the CITES catalogue nor collected from a natural reserve.

Author contributions

Kwang-Soo Kim conducted collecting the specimen, species identification, and wrote draft. Jiseon Park analyzed the mitogenome sequence and wrote draft. Taeseo Park contributed conception, designing this study, and revising manuscript.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Data availability statement

The genome sequence data supporting this study’s findings are available in the National Center for Biotechnology Information (NCBI) GenBank (https://www.ncbi.nlm.nih.gov) under accession no. MW620990. The associated BioProject, SRA, and BioSample numbers were PRJNA727906, SRR14566003, and SAMN19229862, respectively. The data that support the findings of this study are openly available in Mendeley (https://doi.org/10.17632/9h4gtkx9fn.1).

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Supplemental Material
TMDN_A_2324929_SM5654.png (45.6KB, png)

Data Availability Statement

The genome sequence data supporting this study’s findings are available in the National Center for Biotechnology Information (NCBI) GenBank (https://www.ncbi.nlm.nih.gov) under accession no. MW620990. The associated BioProject, SRA, and BioSample numbers were PRJNA727906, SRR14566003, and SAMN19229862, respectively. The data that support the findings of this study are openly available in Mendeley (https://doi.org/10.17632/9h4gtkx9fn.1).

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