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The Complete Mitochondrial Genome of the Fivespot Flounder, Pseudorhombus pentophthalmus (Pleuronectiformes: Paralichthyidae), from Korea and Its Phylogenetic Analysis

1
Industry-University Cooperation Foundation, Pukyong National University, 45 Yongso-ro, Nam-Gu, Busan 48513, Republic of Korea
2
Department of Microbiology, Pukyong National University, 45 Yongso-ro, Nam-Gu, Busan 48513, Republic of Korea
3
School of Marine and Fisheries Life Science, Pukyong National University, 45 Yongso-ro, Nam-Gu, Busan 48513, Republic of Korea
4
Department of Marine Biology, Pukyong National University, 45 Yongso-ro, Nam-Gu, Busan 48513, Republic of Korea
5
Research Institute for Basic Science, Pukyong National University, 45 Yongso-ro, Nam-Gu, Busan 48513, Republic of Korea
6
Gladstone Institute, San Francisco, CA 94158, USA
*
Author to whom correspondence should be addressed.
Fishes 2023, 8(3), 150; https://doi.org/10.3390/fishes8030150
Submission received: 13 February 2023 / Revised: 28 February 2023 / Accepted: 1 March 2023 / Published: 2 March 2023
(This article belongs to the Section Taxonomy, Evolution, and Biogeography)

Abstract

:
The mitogenome is an important tool for researching the evolution of metazoan animals. However, until now, only few mitochondrial genes of Pseudorhombus pentophthalmus have been reported. Here, we report the complete mitogenome of P. pentophthalmus, assembled using the Illumina platform. The circular mitogenome of P. pentophthalmus is 16,684 bp in length, has a bias A+T content of 52.78%, encodes 37 genes (13 protein-coding genes, 22 tRNA genes, 2 rRNA genes), and has a control region. The overall nucleotide composition was A: 26.56%, T: 26.22%, G: 17.97%, and C: 29.25%. The phylogenetic tree based on the complete mitogenome P. pentophthalmus was shown to be monophyletic with the other Pseudorhombus species and was shown to be on the same branch as P. dupliciocellatus. This research might be useful for future studies on population genetics and evolution analysis.

1. Introduction

The fivespot flounder, Pseudorhombus pentophthalmus (Gunther, 1862), is a benthic flatfish belonging to the family Paralichthyidae and the order Pleuronectiformes, which is distributed in tropical and temperate seas across the western Pacific region as well as abundantly around the eastern coast of Korea [1]. P. pentophthalmus is often commercially consumed as food by local people in southern Korea, and they are an economically valuable species due to their abundance in southern Korean marine habitats [2]. On the other hand, there is a high demand for flatfish in Asia. According to the United Nations Food and Agriculture Organization (FAO), Japan and the Republic of Korea caught 10,665 tons of flatfish in 2016 [3]. The official aquaculture figures show that production has increased from 1572 t in 1985 to 43,929 t in 2016, despite the fact that fishing of this species has decreased [3]. This shows that the farming of P. pentophthalmus may be profitable for the Korean economy and that flatfish aquaculture is a very important industry internationally. It is crucial to define the ecological and genetic features of P. pentophthalmus in order to understand its culture and to provide genetic tools to create fishery and aquaculture management strategies. Furthermore, genetic data on flatfish species are also important elements in studies on the evolution of novel body plans.
The characteristics of species with an economic value have been determined using nuclear and mitochondrial genetic markers. About 20 years ago, understanding the DNA sequences of an interesting species was frequently necessary for genetic characterization. With no prior information on the DNA sequences of a specific species, next-generation sequencing (NGS) has made it possible to create innovative genetic studies today. Its significance has been acknowledged for more than ten years [4,5,6]. The vertebrate mitogenome is a double-stranded circular DNA structure that is generally 15 to 18 kb long. It has a number of features, including maternal inheritance, stable genetic elements, a rapid rate of evolution, a low rate of recombination, and highly conserved coding areas [7,8]. Mitogenomes have been widely used in a variety of species as molecular markers for evolutionary phylogenetics and population genetics [9]. To date, a few mitochondrial gene sequences of P. pentophthalmus were identified and are available in the GenBank database [10,11]. Therefore, the complete mitogenome of P. pentophthalmus was sequenced in this study in order to determine the mitogenome of this species and to reconstruct a phylogenetic tree of Paralichthyidae. The complete mitogenome sequence may assist greatly in future research in the development of molecular tools for fish-origin detection.

2. Materials and Methods

2.1. Sample and DNA Extraction

P. pentophthalmus was captured from the coast of Jeju Island in South Korea (33°23′06.31″ N 126°56′04.70″ E) and deposited at the Department of Marine Biology, Pukyong National University, Busan, Republic of Korea (Jin-Koo Kim, [email protected]) under the voucher number PKU-50007 (Figure 1). Total genomic DNA was extracted from muscle tissues using the DNeasy Blood and Tissue Kit (Qiagen, Germany) in accordance with the manufacturer’s protocol, and a NanoDrop spectrophotometer was used to measure the genomic DNA’s quality and amount (Thermo Fisher Scientific D1000, Waltham, MA, USA). As-prepared genomic DNA was preserved at −4 °C for further analysis.

2.2. Illumina Sequencing, and Mitogenome Assembly and Annotation

The DNA library was generated using the TrueSeq Nano DNA Kit and sequenced on the Illumina platform with 150 bp paired-end reads (Illumina, HiSeq 2500, San Diego, CA, USA) at Macrogen (Daejeon, South Korea). The obtained reads were cleaned with cutadapt 1.9 [12], and the low-quality reads (Q < 20) were removed. The overall quality of the produced sequencing reads was verified with FastQC v0.11.5 (Babraham Institute, Bioinformatics) [13]. The cleaned sequences were used for de novo assembly using SPAdes v3.13.0 [14]. The contig, protein-coding genes, ribosomal and transfer RNA genes, and directions were confirmed by the MitoFish (http://mitofish.aori.u-tokyo.ac.jp/, accessed on 3 February 2023) [15] and MITOS (http://mitos.bioinf.uni-leipzig.de/index.py, accessed on 3 February 2023) online web-servers [16]. The MitoAnnotator internet server (http://mitofish.aori.u-tokyo.ac.jp/annotation/input/, accessed on 3 February 2023) was used to create the mitochondrial genome map [15].
The filtered Illumina reads and assembled mitogenome were submitted to the GenBank database of NCBI at (https://www.ncbi.nlm.nih.gov/nuccore/ON843636, accessed on 3 February 2023) using the BankIt submission tool under accession no. ON843636. The associated BioProject, BioSample, and SRA numbers are PRJNA856092, SAMN29515092, and SRR19995053, respectively.

2.3. Sequence Analysis

The proportions of mitogenome nucleotides and relative use of synonymous codons (RSCU) were determined and estimated using MEGA11 v11.0.8 [17]. The asymmetric base composition of mitogenome was determined by using the formula: AT-skew = [A − T]/[A + T] and GC-skew = [G − C]/[G + C] [18]. The tRNA secondary structure was predicted and confirmed using ARWEN [19].

2.4. Phylogenetic Analysis

The phylogenetic relationships of P. pentophthalmus (ON843636) with other species of the family Paralichthyidae were studied using complete mitogenome sequences. One species, Paraplagusia bilineata (JQ379001) of Cynoglossidae, was chosen as the outgroup. All available complete mitochondrial sequences of 10 species used in this study were obtained from GenBank (Table 1). First, multiple sequence alignments were performed using ClustalW [20], and then a phylogenetic tree was constructed based on the maximum-likelihood (ML) approach [21]. ML analysis was conducted using default parameters (Tamaru-Nei model, 1000 bootstraps replications) in MEGA11 v11.0.8 [17].

3. Results and Discussion

3.1. Mitogenome Organization of Pseudorhombus Pentophthalmus

This study explored the circular mitogenome of P. pentophthalmus (16,684 bp, GenBank accession number ON843636) (Figure 1). The complete mitogenome of P. pentophthalmus is longer than that of other known Pseudorhombus species (Table 1). Mitogenomes of closely related species usually have small differences in length because of changes in tandem repeats in the control region and the lengths of intergenic regions or gene overlaps [23,29]. It has an overall nucleotide composition (Table S1) of A, T, G, and C of 26.56%, 26.22%, 17.97%, and 29.25%, respectively, with a slight bias A+T composition (52.78%), and it contains 13 protein-coding genes (PCGs), 2 ribosomal RNA genes (rRNA), 22 transfer RNA (tRNA), and a control region (D-loop). Similar mitogenome properties of P. pentophthalmus were also observed in other Paralichthyidae fishes [22,23,24,25,26,27,28]. All genes are encoded on the H-strand except ND6 and eight tRNAs (tRNA-Gln, tRNA-Ala, tRNA-Asn, tRNA-Cys, tRNA-Tyr, tRNA-Ser, tRNA-Glu, tRNA-Pro), which are encoded on the L-strand (Table 2). The A+T bias composition and orientation of genes (ND6 and 8-tRNAs) were similar to those of the mitogenomes of other vertebrates [23,24].

3.2. Protein-Coding Genes (PCGs)

In P. pentophthalmus, all 13 PCGs made up 68.45% of the total mitogenome, which had a length of 11,420 bp. Among all PCGs, ATP8 is the shortest (168 bp), whereas ND5 is the longest (1839 bp). The start codons of nine PCGs (COX2, ATP8, ATP6, COX3, ND4L, ND4, ND5, ND6, and CytB) were ATG, while those of ND2, COX1, and ND3 were GTG, and ND1 started with ATA. The stop codons of ND1, COX1, and ND6 were TAG, whereas those of ATP8, ND4L, ND5, and CytB were TAA. In contrast, ND2, COX2, ATP6, COX3, ND3, and ND4 had incomplete TAA stop codons. These incomplete termination codons may be completed to TAA by RNA processing by the addition of a poly-A tail [29,30].
The total number of amino-acid triplets expressed by the 13 PCGs was 3570, ignoring the stop codon (Table S2). According to the analysis on the RSCU, leucine was used most frequently. GCC (Ala, total of 148 times) and CTT and CTC (Leu, total of 145 times and total of 140 times, respectively) were found as regularly utilized codons more than 140 times. However, the triplet codons of serine, AGA and AGG, were not utilized by PCGs. Previous research has demonstrated that similar codon usage patterns exist among members of the family Paralichthyidae [23,24].

3.3. Ribosomal RNA and Transfer RNA Genes

In P. pentophthalmus, the rRNA genes were 2669 bp in length (15.99% of the complete mitogenome), and they were made up of two distinct rRNAs: a small rRNA (12S rRNA, 942 bp) and a large ribosomal RNA (16S rRNA, 1727 bp) (Table 2). Both rRNAs were encoded on the H-strand, and the 12S rRNA and 16S rRNA genes were located between the tRNA-Phe and tRNA-Leu and separated by the tRNA-Val. The above-mentioned characteristics were consistent with the typical Paralichthyidae fish mitogenome [23,24]. Similar to other vertebrates, the P. pentophthalmus mitogenome had 22 tRNAs. Individual tRNAs varied in length from 65 to 74 base pairs, and the sum of the lengths of all tRNAs was 1552 bp (9.30% of the complete mitogenome). All tRNAs fold into typical cloverleaf secondary structures, except the tRNA-Ser-2, which lacked the dihydrouridine (DHU) arm (Figure 2). In addition, twelve tRNAs (Ala, Arg, Asp, Cys, Glu, His, Leu-1, Met, Pro, Ser-2, Thr, Tyr) showed mismatched base pairs in the amino acid acceptor (AA) arm, and eight tRNAs (Ala, Glu, Met, Pro, Ser-1, Ser-2, Thr, Tyr) did so in the variable (v) arm. Overall, the secondary structure of tRNAs in P. pentophthalmus was similar to that of vertebrate mitogenomes, with typical Watson–Crick pairings [7].

3.4. Phylogenetic Relationships

The phylogenetic tree was constructed using complete mitogenomes of the species within the family Paralichthyidae (Figure 2). The results show that the P. pentophthalmus (ON843636) is placed in a sister clade with P. dupliciocellatus (KJ433562) and is monophyletic with P. levisquamis (OK509079) and P. cinnamoneus (JQ639069), with a high supporting bootstrap value, suggesting a close relationship with other species in the Paralichthyidae family. The species of Paralichthys and Pseudorhombus are monophyletic, and Paraplagusia bilineata (JQ379001) is an outgroup member. At the genus level, Paralichthys species and Pseudorhombus species were placed separately in the same clades, consistent with a mitochondrial study using PCG and a complete mitochondrial genome sequence [23,24]. To better understand the phylogenetic relationship among Pleuronectiformes species, mitogenome studies within the order must be enhanced.

4. Conclusions

The fivespot flounder, P. pentophthalmus, has a mitogenome that is 16,684 bp long and comprises 13 PCGs, 22 tRNAs, 2 rRNAs, and the control region, according to our results. PCGs, tRNAs, rRNAs, and the control region were distributed and oriented in P. pentophthalmus in a manner that was very comparable to that seen in the mitogenomes of other Paralichthyidae species. Based on phylogenetic analysis, P. pentophthalmus was monophyletic with other Pseudorhombus species and on the same branch as P. dupliciocellatus. A comprehensive study needs to be conducted for species status confirmation. This study describes the complete mitogenome of P. pentophthalmus and its phylogenetic relationship within the family Paralichthyidae. To better understand the phylogenetic relationship among Pleuronectiformes species, it will be important to expand the mitochondrial genome analysis within the order.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/fishes8030150/s1, Table S1: General metrics of nucleotide composition of P. pentophthalmus.

Author Contributions

Conceptualization, Y.-S.L., M.P.P., J.-O.K. and G.-D.K.; methodology, Y.-S.L. and M.P.P.; software, J.-O.K., Y.-J.L., Y.B.S., R.K.S. and J.-K.K.; validation, J.-O.K., J.-K.K. and G.-D.K.; formal analysis, Y.-S.L., M.P.P., J.-O.K., R.K.S. and Y.-J.L.; investigation, Y.B.S. and J.-K.K.; resources, J.-K.K. and G.-D.K.; data curation, Y.-S.L., M.P.P., R.K.S. and Y.B.S.; writing—original draft preparation, Y.-S.L. and M.P.P.; writing—review and editing, M.P.P., J.-O.K., Y.-J.L., Y.B.S., J.-K.K., R.K.S. and G.-D.K.; visualization, Y.-S.L., M.P.P., Y.-J.L., R.K.S. and Y.B.S.; supervision, J.-K.K. and G.-D.K.; project administration, J.-O.K.; funding acquisition, G.-D.K. All authors have read and agreed to the published version of the manuscript.

Funding

This research was part of the project titled ‘Development of Discrimination Method and On-site Kit for Geographical Origin of Fishery Product’ (Project No. 20200425), funded by the Ministry of Oceans and Fisheries, Republic of Korea.

Institutional Review Board Statement

The sample used for this study was a dead body of fish and as per the animal experimental ethics in the Republic of Korea (Standard operating guideline; IACUC—Institutional Animal Care and Use Committee, Book no. 11-1543061-000457-01, effective from Dec. 2020), it does not need any approval from an Ethics Committee.

Data Availability Statement

The genome sequence data that support the findings of this study are openly available in GenBank of NCBI at (https://www.ncbi.nlm.nih.gov/, accessed on 3 February 2023) under accession no. ON843636. The associated BioProject, BioSample, and SRA numbers are PRJNA856092, SAMN29515092, and SRR19995053, respectively.

Acknowledgments

This research was conducted using the fish specimen provided by the Marine Fish Resources Bank of Korea (MFRBK) and Pukyong National University (PKNU).

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Lee, T.W. Seasonal variation in species composition of demersal fish in Yongil Bay, east coast of Korea. J. Korean Fish Soc. 1999, 32, 512–519. [Google Scholar]
  2. Park, J.M. Species Composition and Reproductive Ecology of Fishes in the Coastal Waters off Gori, Korea. Ph.D. Thesis, Pukyong National University, Busan, Republic of Korea, 2010. [Google Scholar]
  3. FAO. Food and Agriculture Organization of the United Nations. 2020. Available online: http://www.fao.org/fishery/species/3350/en (accessed on 25 January 2023).
  4. Schuster, S.C. Next-generation sequencing transforms today’s biology. Nat. Methods 2008, 5, 16–18. [Google Scholar] [CrossRef] [PubMed]
  5. Metzker, M.L. Sequencing technologies—The next generation. Nat. Rev. Genet. 2010, 11, 31–46. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  6. Chinmayee, C.; Nischal, A.; Manjunath, C.R.; Soumya, K.N. Next Generation Sequencing in Big Data. Int. J. Trend Sci. Res. Dev. 2018, 2, 379–389. [Google Scholar]
  7. Wolstenholme, D.R. Animal mitochondrial DNA: Structure and evolution. Int. Rev. Cytol. 1992, 141, 173–216. [Google Scholar]
  8. Boore, J.L. Animal mitochondrial genomes. Nucleic Acids Res. 1999, 27, 1767–1780. [Google Scholar] [CrossRef] [Green Version]
  9. Harrison, R.G. Animal mitochondrial DNA as a genetic marker in population and evolutionary biology. Trend Ecol. Evol. 1989, 4, 6–11. [Google Scholar] [CrossRef]
  10. Berendzen, P.B.; Dimmick, W.W. Phylogenetic relationships of Pleuronectiformes based on molecular evidence. Copeia 2002, 2002, 642–652. [Google Scholar] [CrossRef]
  11. Zhang, J.B.; Hanner, R. DNA barcoding is a useful tool for the identification of marine fishes from Japan. Biochem. System Ecol. 2011, 39, 31–42. [Google Scholar] [CrossRef]
  12. Martin, M. Cutadapt removes adapter sequences from high-throughput sequencing reads. EMBnet. J. 2011, 17, 10–12. [Google Scholar] [CrossRef]
  13. Andrews, S. FastQC: A Quality Control Tool for High Throughput Sequence Data (Babraham Bioinformatics, 2010). Available online: https://www.bioinformatics.babraham.ac.uk/projects/fastqc/ (accessed on 3 February 2023).
  14. Bankevich, A.; Nurk, S.; Antipov, D.; Gurevich, A.A.; Dvorkin, M.; Kulikov, A.S.; Lesin, V.M.; Nikolenko, S.I.; Pham, S.; Prjibelski, A.D.; et al. SPAdes: A new genome assembly algorithm and its applications to single-cell sequencing. J. Comput. Biol. 2012, 19, 455–477. [Google Scholar] [CrossRef] [Green Version]
  15. Iwasaki, W.; Fukunaga, T.; Isagozawa, R.; Yamada, K.; Maeda, Y.; Satoh, T.P.; Sado, T.; Mabuchi, K.; Takeshima, H.; Miya, M.; et al. MitoFish and MitoAnnotator: A mitochondrial genome database of fish with an accurate and automatic annotation pipeline. Mol. Biol. Evol. 2013, 30, 2531–2540. [Google Scholar] [CrossRef] [Green Version]
  16. Bernt, M.; Donath, A.; Jühling, F.; Externbrink, F.; Florentz, C.; Fritzsch, G.; Pütz, J.; Middendorf, M.; Stadler, P.F. MITOS: Improved de novo metazoan mitochondrial genome annotation. Mol. Phylogenet. Evol. 2013, 69, 313–319. [Google Scholar] [CrossRef]
  17. Tamura, K.; Stecher, G.; Kumar, S. MEGA11: Molecular evolutionary genetics analysis version 11. Mol. Biol. Evol. 2021, 38, 3022–3027. [Google Scholar] [CrossRef]
  18. Perna, N.T.; Kocher, T.D. Patterns of nucleotide compositin at fourfold degenerate sites of animal mitochondrial genomes. J. Mol. Evol. 1995, 41, 353–359. [Google Scholar] [CrossRef]
  19. Laslett, D.; Canback, B. ARWEN: A program to detect tRNA genes in metazoan mitochondrial nucleotide sequences. Bioinformatics 2008, 24, 172–175. [Google Scholar] [CrossRef] [Green Version]
  20. Thompson, J.D.; Higgins, D.G.; Gibson, T.J. CLUSTAL W: Improving the sensitivity of progressive multiple sequence alignment through sequence weighting, position-specific gap penalties and weight matrix choice. Nucleic Acids Res. 1994, 22, 4673–4680. [Google Scholar] [CrossRef] [Green Version]
  21. Felsenstein, J. Evolutionary trees from DNA sequences: A maximum likelihood approach. J. Mol. Evol. 1981, 17, 368–376. [Google Scholar] [CrossRef]
  22. Si, L.Z.; Gong, L.; Shi, W.; Yang, M.; Kong, X.Y. The complete mitochondrial genome of Pseudorhombus dupliocellatus (Pleuronectiformes: Paralichthyidae). Mitochondrial DNA Part A 2017, 28, 58–59. [Google Scholar] [CrossRef]
  23. Vargas-Peralta, C.E.; Farfán, C.; Barón-Sevilla, B.; Río-Portilla, M.A.D. Complete mitochondrial genome of the California halibut, Paralichthys californicus. Cienc. Mar. 2020, 46, 297–306. [Google Scholar] [CrossRef]
  24. Marín, A.; López-Landavery, E.; González-Martinez, S.; Reyes-Flores, L.E.; Corona-Herrera, G.; Tapia-Morales, S.; Yzásiga-Barrera, C.G.; Fernandino, J.I.; Zelada-Mázmela, E. The complete mitochondrial genome of the fine flounder Paralichthys adspersus revealed by next-generation sequencing. Mitochondrial DNA Part B Resour. 2021, 6, 2785–2787. [Google Scholar] [CrossRef] [PubMed]
  25. Shi, B.; Liu, X.; Xu, Y.; Wang, B. The complete mitochondrial genome of southern flounder Paralichthys lethostigma (Pleuronectiformes, Bothidae). Mitochondrial DNA Part B Resour. 2016, 1, 200–201. [Google Scholar] [CrossRef] [Green Version]
  26. Shi, W.; Dong, X.L.; Wang, Z.M.; Miao, X.G.; Wang, S.Y.; Kong, X.Y. Complete mitogenome sequences of four flatfishes (Pleuronectiformes) reveal a novel gene arrangement of L-strand coding genes. BMC Evol. Biol. 2013, 13, 173. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  27. Saitoh, K.; Hayashizaki, K.; Yokoyama, Y.; Asahida, T.; Toyohara, H.; Yamashita, Y. Complete nucleotide sequence of Japanese flounder (Paralichthys olivaceus) mitochondrial genome: Structural properties and cue for resolving teleostean relationship. J. Hered. 2000, 91, 271–278. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  28. Xu, Y.; Liu, X.; Shi, B.; Wang, B. Complete mitochondrial genome of summer flounder Paralichthys dentatus (Pleuronectiformes, Paralichthyidae). Mitochondrial DNA Part B Resour. 2016, 1, 889–890. [Google Scholar] [CrossRef] [Green Version]
  29. Satoh, T.P.; Miya, M.; Mabuchi, K.; Nishida, M. Structure and variation of the mitochondrial genome of fishes. BMC Genom. 2016, 17, 719. [Google Scholar] [CrossRef] [Green Version]
  30. Ojala, D.; Montoya, J.; Attardi, G. tRNA punctuation model of RNA processing in human mitochondria. Nature 1981, 290, 470–474. [Google Scholar] [CrossRef]
Figure 1. The complete mitochondrial genome of fivespot flounder, Pseudorhombus pentophthalmus, GenBank accession number ON843636, drawn by the MitoFish/MitoAnnotator online server (http://mitofish.aori.u-tokyo.ac.jp/annotation/input/, accessed on 3 February 2023). Genes outside the circle are transcribed in a clockwise direction, and those inside are transcribed in a counterclockwise direction.
Figure 1. The complete mitochondrial genome of fivespot flounder, Pseudorhombus pentophthalmus, GenBank accession number ON843636, drawn by the MitoFish/MitoAnnotator online server (http://mitofish.aori.u-tokyo.ac.jp/annotation/input/, accessed on 3 February 2023). Genes outside the circle are transcribed in a clockwise direction, and those inside are transcribed in a counterclockwise direction.
Fishes 08 00150 g001
Figure 2. Maximum-likelihood phylogenetic-tree reconstruction of Pseudorhombus pentophthalmus (GenBank accession no. ON843636; indicated by an asterisk) in Paralichthyidae using complete mitogenome data. The GenBank accession numbers of all mitogenomes used for phylogenetic analysis are followed by species names. The number above the branches represents the maximum-probability bootstrap values.
Figure 2. Maximum-likelihood phylogenetic-tree reconstruction of Pseudorhombus pentophthalmus (GenBank accession no. ON843636; indicated by an asterisk) in Paralichthyidae using complete mitogenome data. The GenBank accession numbers of all mitogenomes used for phylogenetic analysis are followed by species names. The number above the branches represents the maximum-probability bootstrap values.
Fishes 08 00150 g002
Table 1. Species composition and the comparison of the whole sequence of mitogenome with the NCBI database (https://blast.ncbi.nlm.nih.gov/Blast.cgi, accessed on 3 February 2023).
Table 1. Species composition and the comparison of the whole sequence of mitogenome with the NCBI database (https://blast.ncbi.nlm.nih.gov/Blast.cgi, accessed on 3 February 2023).
Species StudiedGenBank (BlastN)Reference
Species IdentifiedGenBank no.Length (bp)Similarity (%)
Pseudorhombus pentophthalmus (Accession no.: ON843636; Length: 16,684 bp)Pseudorhombus dupliciocellatusKJ43356216,62183.06[22]
Paralichthys californicusMT85913416,85879.30[23]
Paralichthys adspersusMW28882717,06078.80[24]
Pseudorhombus levisquamisOK50907916,60478.74NA
Paralichthys lethostigmaKT89653416,84378.71[25]
Pseudorhombus cinnamoneusJQ63906916,59978.58[26]
Paralichthys olivaceusAB02866417,09078.54[27]
Paralichthys dentatusKU05333417,03378.18[28]
Paraplagusia bilineataJQ34900116,98575.15NA
Table 2. Gene order of the complete mitogenome of the Pseudorhombus pentophthalmus.
Table 2. Gene order of the complete mitogenome of the Pseudorhombus pentophthalmus.
GeneStrandStartEndSize (bp)Start CodonStop CodonIntergenic Nucleotides *
tRNA-PheH16969---
12SrRNAH701011942---
tRNA-ValH1012108473---
16SrRNAH108528111727---
tRNA-LeuH2812288574---
ND1H28863860975ATATAG3
tRNA-IleH3864393471--−1
tRNA-GlnL3934400471--−1
tRNA-MetH4004407269---
ND2H407351171045GTGT---
tRNA-TrpH5118519073--1
tRNA-AlaL5192526069--1
tRNA-AsnL5262533473--37
tRNA-CysL5372543665---
tRNA-TyrL5437550367--1
COX1H550570491545GTGTAG3
tRNA-SerL7053712371--9
tRNA-AspH7133720371--7
COX2H72117901691ATGT---
tRNA-LysH7902797473--1
ATP8H79768143168ATGTAA−10
ATP6H81348816683ATGTA--
COX3H88179601785ATGTA--
tRNA-GlyH9602967372---
ND3H967410022349GTGT---
tRNA-ArgH100231009169---
ND4LH1009210388297ATGTAA−7
ND4H10382117621381ATGT---
tRNA-HisH117631183270---
tRNA-SerH118331189967--4
tRNA-LeuH119041197673--2
ND5H11979138171839ATGTAA−4
ND6L1381414335522ATGTAG-
tRNA-GluL143361440469--2
CytBH14407155461140ATGTAA1
tRNA-ThrH155481561972--1
tRNA-ProL156211569171---
D-loopH1569216684993---
Notes: * The numbers of nucleotides between the given and previous gene, with negative values indicating an overlap; TA-/T-- indicated incomplete stop codon; H and L indicated that the genes are transcribed on the heavy and light strand, respectively.
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Lee, Y.-S.; Patil, M.P.; Kim, J.-O.; Lee, Y.-J.; Seo, Y.B.; Kim, J.-K.; Suryawanshi, R.K.; Kim, G.-D. The Complete Mitochondrial Genome of the Fivespot Flounder, Pseudorhombus pentophthalmus (Pleuronectiformes: Paralichthyidae), from Korea and Its Phylogenetic Analysis. Fishes 2023, 8, 150. https://doi.org/10.3390/fishes8030150

AMA Style

Lee Y-S, Patil MP, Kim J-O, Lee Y-J, Seo YB, Kim J-K, Suryawanshi RK, Kim G-D. The Complete Mitochondrial Genome of the Fivespot Flounder, Pseudorhombus pentophthalmus (Pleuronectiformes: Paralichthyidae), from Korea and Its Phylogenetic Analysis. Fishes. 2023; 8(3):150. https://doi.org/10.3390/fishes8030150

Chicago/Turabian Style

Lee, Yong-Suk, Maheshkumar Prakash Patil, Jong-Oh Kim, Yu-Jin Lee, Yong Bae Seo, Jin-Koo Kim, Rahul K. Suryawanshi, and Gun-Do Kim. 2023. "The Complete Mitochondrial Genome of the Fivespot Flounder, Pseudorhombus pentophthalmus (Pleuronectiformes: Paralichthyidae), from Korea and Its Phylogenetic Analysis" Fishes 8, no. 3: 150. https://doi.org/10.3390/fishes8030150

APA Style

Lee, Y. -S., Patil, M. P., Kim, J. -O., Lee, Y. -J., Seo, Y. B., Kim, J. -K., Suryawanshi, R. K., & Kim, G. -D. (2023). The Complete Mitochondrial Genome of the Fivespot Flounder, Pseudorhombus pentophthalmus (Pleuronectiformes: Paralichthyidae), from Korea and Its Phylogenetic Analysis. Fishes, 8(3), 150. https://doi.org/10.3390/fishes8030150

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