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Mitogenome Announcement

The complete mitochondrial genome of Sinularia humilis van Ofwegen, 2008 (Octocorallia: Alcyonacea)

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Pages 1299-1301 | Received 07 Dec 2021, Accepted 22 Jun 2022, Published online: 19 Jul 2022

Abstract

In this study, the complete mitochondrial genome (mitogenome) of Sinularia humilis van Ofwegen, 2008 was determined using next-generation sequencing (NGS) method. The mitogenome of S. humilis is 18,743 bp in length, containing 14 protein-coding genes (PCGs), two ribosomal RNAs (rRNA) and one tRNA (tRNA-Met), which has same gene order with other species of Sinularia. ATG was determined as start codon in all 14 PCGs. Eight TAG, five TAA, and one incomplete codons (T-) were found as stop codon. Phylogenetic analysis of the small number of available mitogenomes showed that S. humilis is closely related to Sinularia ceramensis and Sinularia peculiaris.

The genus Sinularia with approximately 170–190 biological species is a large group in Octocorallia, commonly distributed in tropical zones of shallow water to deep reefs (van Ofwegen Citation2000; Fabricius and Alderslade Citation2001; McFadden et al. Citation2009). van Ofwegen has described species of Sinularia humilis from Palau (Micronesia) in 2008. Further studies have documented distribution of this species in South China Sea (Benayahu et al. Citation2012, Citation2018).

So far, only six mitogenomes of genus Sinularia have been sequenced (Asem et al. Citation2019; Chen et al. Citation2019; Shen et al. Citation2021); their mitogenome lengths ranged from 18,730 to 18,742 bp. In the present study, complete mitochondrial genome of S. humilis (GenBank no. OK641586) was sequenced and annotated to study the mitogenomic characteristics and its phylogenetic relationships within Sinularia.

With regard to regulations of Department of Science and Technology of Hainan province government, a permission was obtained to collect a sample from China South Sea following R&D program under ZDKJ2019011-03-02 reference number. A specimen of S. humilis was collected from the South China Sea (Small Island, Sanya, China; 18°15′12″N-109°30′13″E) and stored in Hainan Tropical Ocean University Museum of Zoology (specimen voucher: HTOU-SiHu001; Chaojie Yang; [email protected]). The specimen was identified based on morphology of sclerites (Benayahu, personal communication). Total genomic DNA was extracted with Genomic DNA Isolation Kit no. B518221 (Sangon Biotech Co., Shanghai, China) (Asem et al. Citation2021).

The quality of extracted DNA was checked on a 1.5% agarose gel and then quantified using a Micro-volume Spectrophotometer (MaestroGen Inc., Hsinchu City, Taiwan). An amount of 600 ng of total DNA was used to construct the genomic library with paired-end (2 × 150 bp) followed by next-generation sequencing (NGS) (10 Gb) approach. The sequencing was performed on the Illumina HiSeq X-ten sequencing platform (Novogene Co., Tianjin, China). Total sequencing included effective rate, 0.03% of error rate and 90.31% of Q30. Quality of reads were controlled by FastQC. De novo assemblies were performed with Geneious 9.1 utilizing the mitogenome of Sinularia ceramensis (GenBank no. NC_044122) as reference map with default parameter settings (Kearse et al. Citation2012). The position of tRNA-Met gene was determined by ARWEN software (http://130.235.46.10/ARWEN/). PCGs and rRNAs were annotated by multiple sequence alignments to the reference mitogenome using BioEdit program (Hall Citation1999). In addition, all PCGs were translated into amino acids by the ExPASy online program (https://web.expasy.org/translate/) and sequences were examined to ensure that each could encode a functional protein.

The length of mitogenome of S. humilis was 18,743 bp including 14 protein-coding genes (PCGs: 14,804 bp), two ribosomal RNAs (rRNAs: 3260 bp), and one transfer RNA (tRNA-Met: 17 bp). The overall nucleotide composition of the heavy strand was as follows: 30.35% A, 16.52% C, 19.29% G, and 33.83% T, with a total A + T content of 64.18%. Four PCGs including COX3, ATP6, ATP8, and COX2 and tRNA-Met were located on the light strand. All PCGs encoded with common ATG start codon. Stop codons included eight TAG (ND1, CYTB, ND6, ND3, ND2, ND5, COXIII, and COXII), five TAA (ND4L, MutS, ND4, ATP6, and ATP8), and a non-complete codon T (COXI). The 12S rRNA and 16S rRNA were encoded on the heavy strand from 1589 to 2634 (1046 bp) and 9159 to 11,369 (2211 bp), respectively. Same as other Sinularia mitogenome, 16S rRNA showed a rather higher A + T content (58.07% vs. 56.69%) in S. humilis. The longest overlap and gap were observed between ND2/ND5 with 13 bp and COX2/COX1 with 112 bp, respectively.

The phylogenetic relationship of S. humilis among other species of Sinularia was inferred with a concatenated dataset including the 14 PCGs and two rRNAs using maximum-likelihood (ML). Sarcophyton trocheliophorum (MK994517) was used as an outgroup (Shen et al. Citation2019). The ML phylogenetic analysis was performed using MEGA X. The best-fitting nucleotide substitution model was calculated based on the results of the MrModelTest 2.2 (Alfaro et al. Citation2003) and HKY + G was chosen as the best-fit model with 1000 bootstrap replicates (). Regarding available mitogenomes, results revealed that Sinularia was divided in two clades and that S. humilis was closely related to Sinularia ceramensis and Sinularia peculiaris. Further studies with large number of Sinularia mitogenomes need to represent clear status of species of genus Sinularia.

Figure 1. Phylogenetic tree shows evolutionary relationships among genus Sinularia based on maximum-likelihood (ML) approach. Numbers adjacent to nodes denote the bootstrap support values. The GenBank accession numbers are indicated on the right side of species names.

Figure 1. Phylogenetic tree shows evolutionary relationships among genus Sinularia based on maximum-likelihood (ML) approach. Numbers adjacent to nodes denote the bootstrap support values. The GenBank accession numbers are indicated on the right side of species names.

Author contributions

Ch. Y. designed the research. Material preparation, data collection and analysis, and interpretation of the data were performed by Ch. Y. Molecular analysis and the final draft of the manuscript was revised by Zh. W. and Y. H. All authors commented on previous versions of the manuscript. All authors have read and agreed to the published version of the manuscript.

Acknowledgements

We thank Dr. Chengyue Liu and Dr. Zhi Chen for their help to collect samples and revise the manuscript, respectively. The authors thank Prof. Yehuda Benayahu for his contribution to sample identification.

Disclosure statement

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

Data availability statement

The data that support the findings of this study are openly available in GenBank of NCBI at https://www.ncbi.nlm.nih.gov, reference number OK641586. The associated BioProject, Bio-Sample, and SRA numbers are PRJNA780662, SAMN23175337, and SRR16960927, respectively.

Additional information

Funding

This work was supported by Major Science and Technology Projects in Hainan Province in 2019: ‘Study on important biological resources and environmental adaptability of deep sea and islands and reefs in the South China Sea—Genetic diversity and environmental adaptability of coral reefs in the South China Sea’ [No. ZDKJ2019011-03-02] and Hainan Key Laboratory of Tropical Marine Biotechnology, Tropical Marine Biological Research Station in Hainan.

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