Skip to main content
Mitochondrial DNA. Part B, Resources logoLink to Mitochondrial DNA. Part B, Resources
. 2021 Nov 16;6(12):3391–3392. doi: 10.1080/23802359.2021.1997107

The complete mitochondrial genome of Pangasianodon hypophthalmus (Sauvage 1878) (Siluriformes, Pangasiidae)

Wei Ni a,b, Yihui Liu a, Haigang Chen a, Lingyun Yu a, Wei Li a, Yakun Wang a, Xiaoyou Hong a, Chen Chen a, Ju Yuan a,b, Fang Liu a, Xiaoli Liu a,✉, Xinping Zhu a,✉
PMCID: PMC8604451  PMID: 34805515

Abstract

The striped catfish, Pangasianodon hypophthalmus (Sauvage 1878), belongs to the family Pangasiidae, is an important economic freshwater species. We determined the complete mitogenome of the Pangasianodon hypophthalmus through sanger method. The complete mitochondrial genome of Pangasianodon hypophthalmus was a circular molecule of 16,469 bp with a total GC content of 44% which contains 37 genes, including 13 protein-coding genes, 2 rRNA genes, and 22 tRNAs genes. Phylogenetic analysis showed that Pangasianodon hypophthalmus clustered together with other Pangasianodon species and was closely related to Pangasius larnaudii, both species belonged to Pangasianodon genus.

Keywords: Mitochondrial genome, phylogenetic tree, Pangasianodon hypophthalus, Pangasiidae


The striped catfish, Pangasianodon hypophthalmus (Sauvage 1878), belongs to the order Siluriformes, family Pangasiidae, genus Pangasianodon, is an important economic freshwater species which is distributed in southeast Asia (Galagarza et al. 2019), and has become the main aquatic products of Vietnam at present. In addition, in several provinces of China such as Guangdong, Guangxi and Hainan, the striped catfish was also cultivated as ornamental varieties. To date, the investigations on Pangasianodon hypophthalmus mainly focused on immune responses (Gobi et al. 2016), growth and breeding characteristics (Legendre et al. 2000; Sattang et al. 2021), and there is no report on the complete mitochondrial genome of Pangasianodon hypophthalmus. Here, we reported and characterized the complete mitochondrial genome of Pangasianodon hypophthalmus and performed phylogenetic analysis with the mitochondrial genome of other fish species.

Fins of Pangasianodon hypophthalmus were collected from Baijin Aquatic Seed Co., Ltd (Sanshui, Foshan, China) (112.85E, 23.15 N). The tissue sample was kept in −80 °C refrigerator and deposited in our laboratory specimen bank (Dr. Xinping Zhu, zhuxinping_1964@163.com) under voucher number Basa_20211001 at Key Laboratory of Tropical & Subtropical Fishery Resource Application & Cultivation of Ministry of Agriculture and Rural Affairs, Pearl River Fisheries Research Institute, Chinese Academy of Fishery Sciences.

Total genomic DNA was extracted from Pangasianodon hypophthalmus fin tissues according to the manufacturer’s instruction of Tissue DNA Kit (Omega, USA). Then the mitogenome was sequenced through Sanger method (da Silva et al. 2020). The mitogenome of Pangasianodon hypophthalmus was sequenced through with 3730xl sequencer in sanger platform with seqman software at Guangzhou Tianyi Huiyuan Biotechnology Co., Ltd. Then the assembled mitochondrial genome was annotated with MitoAnnotator SeqMan from the MitoFish public database.

The complete mitochondrial genome of Pangasianodon hypophthalmus (GenBank accession number MZ286355.1) was a circular molecule of 16,469 bp with a total GC content of 44%, which contains 37 genes including 13 protein-coding genes (PCGs), 2 rRNA genes, and 22 tRNAs genes. The 13 PCGs included NADH dehydrogenase subunit, cytochrome c oxidase subunit, ATPase subunits and cytochrome with length ranged between 168 bp (ATP8) and 1839 bp (ND5). Most PCGs utilize ATG as their start codon, except COX1 uses GTG which was similar to most other fish species (Satoh et al. 2016). 5 PCGs including ND1, COI, ATP8, ND4L and ND5 utilize TAA as the termination codon, while other 5 PCG stop codons were incomplete, ending with T- (COII, ND4 and Cyt b) and TA- (ND2 and ND3). This feature is common among vertebrate mitochondrial protein-coding genes, and these incomplete stop codons are presumably completed as TAA (Ojala et al. 1981). Moreover, the length of 22 tRNA genes varies from 67 bp (tRNA-Ser) to 75 bp (tRNA-Leu), and the size of rRNA were 957 bp (12 sRNA) and 1681 bp (16sRNA).

The mitogenome of Pangasianodon hypophthalmus was aligned with that of other species using ClustalW (Thompson et al. 1994), and the phylogenetic tree was constructed using Neighbor -Joining (NJ) analysis through MEGA7 with bootstrap analysis of 1000 replicates (Kumar et al. 2016) and Bayesian Inference (BI) analysis through beast2 (Bouckaert et al. 2014). And only the Bayesian tree was given in Figure 1, as both NJ and BI tree were well supported each other and showed the same topology. Channa argus was used as the out-group. Phylogenetic analysis showed that Pangasianodon hypophthalmus clustered to Pangasius larnaudii and Pangasius pangasius and was grouped with species of genus Pangasiidae, which was in consistent with the previous studies in Pangasiidae (Jondeung et al. 2007; Wei et al. 2020). Moreover, the Bayesian Tree divided the Siluriformes and Perciformes into two separate groups successfully, and seven species from the Pangasiidae clustered into one branch, other species from Horabagridae, Ariinae, and Bagridae clustered into a single branch. In conclusion, the complete mtDNA sequence would establish a basis for future genetic studies of Pangasianodon hypophthalmus and its relative species.

Figure 1.

Figure 1.

Bayesian Inference based phylogeny depicting the mitogenomic relationship between 15 fish species using Channidae species as outgroup. Each label includes the GenBank accession number and species name. The newly sequenced species is marked in red.

Funding Statement

This work was supported by the Central Public-interest Scientific Institution Basal Research Fund, CAFS under Grant [2020XT11]; Science and Technology Program of Guangdong Provincial under Grant [2019B030316029]; National Freshwater Genetic Resource Center under Grant [NFGR-2020]; Guangdong Agricultural Research System [2019KJ150]; China-ASEAN Maritime Cooperation Fund [CAMC-2018F] and Central Public-interest Scientific Institution Basal Research Fund, CAFS under Grant [2020TD35, 2020ZJTD01].

Disclosure statement

No potential conflict of interest was reported by the authors.

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/) under the accession number MZ286355.1. The associated BioProject, SRA, and Bio-Sample numbers are PRJNA730229 (https://www.ncbi.nlm.nih.gov/bioproject/PRJNA730229), SRR14569521 (https://www.ncbi.nlm.nih.gov/sra/SRR14569521), and SAMN19225391 (https://www.ncbi.nlm.nih.gov/biosample/SAMN19225391), respectively.

References

  1. Bouckaert R, Heled J, Kühnert D, Vaughan T, Wu C-H, Xie D, Suchard MA, Rambaut A, Drummond AJ.. 2014. BEAST 2: a software platform for Bayesian evolutionary analysis. PLoS Comput Biol. 10(4):e1003537. [DOI] [PMC free article] [PubMed] [Google Scholar]
  2. da Silva AF, Machado LC, de Paula MB, Vieira C. J d S P, de Morais Bronzoni RV, de M, Santos MAV, Wallau GL.. 2020. Culicidae evolutionary history focusing on the Culicinae subfamily based on mitochondrial phylogenomics. J Sci Rep. 10(1):1–14. [DOI] [PMC free article] [PubMed] [Google Scholar]
  3. Galagarza OA, Smith SA, Mainous ME, Kuhn DD.. 2019. Development of a polyclonal antibody for detection and sensitive quantification of immunoglobulin M-like antibody in Pangasius hypophthalmus plasma. J Aquaculture. 513:734369. [Google Scholar]
  4. Gobi N, Malaikozhundan B, Sekar V, Shanthi S, Vaseeharan B, Jayakumar R, Nazar AK.. 2016. GFP tagged Vibrio parahaemolyticus Dahv2 infection and the protective effects of the probiotic Bacillus licheniformis Dahb1 on the growth, immune and antioxidant responses in Pangasius hypophthalmus. J. Fish Shellfish Immunol. 52:230–238. [DOI] [PubMed] [Google Scholar]
  5. Jondeung A, Sangthong P, Zardoya R.. 2007. The complete mitochondrial DNA sequence of the Mekong giant catfish (Pangasianodon gigas), and the phylogenetic relationships among Siluriformes. J Gene. 387(1–2):49–57. [DOI] [PubMed] [Google Scholar]
  6. Kumar S, Stecher G, Tamura K. 2016. MEGA7: molecular evolutionary genetics analysis version 7.0 for bigger datasets. J Molecular biology evolution. 33(7):1870–1874. [DOI] [PMC free article] [PubMed] [Google Scholar]
  7. Legendre M, Slembrouck J, Subagja J, Kristanto AH.. 2000. Ovulation rate, latency period and ova viability after GnRH-or hCG-induced breeding in the Asian catfish Pangasius hypophthalmus (Siluriformes, Pangasiidae). J Aquat Living Res. 13(3):145–151. [Google Scholar]
  8. Ojala D, Montoya J, Attardi G.. 1981. tRNA punctuation model of RNA processing in human mitochondria. J Nature. 290(5806):470–474. [DOI] [PubMed] [Google Scholar]
  9. Satoh TP, Miya M, Mabuchi K, Nishida M.. 2016. Structure and variation of the mitochondrial genome of fishes. J BMC Genomics. 17(1):1–20. [DOI] [PMC free article] [PubMed] [Google Scholar]
  10. Sattang S, Amornlerdpison D, Tongsiri S, Palić D, Mengumphan K.. 2021. Effect of freshwater fish oil feed supplementation on the reproductive condition and production parameters of hybrid catfish (Pangasius larnaudii x Pangasianodon hypophthalmus, Sauvage, 1878) broodstock. J Aquaculture Rep. 20:100598. [Google Scholar]
  11. Thompson JD, Higgins DG, Gibson TJ.. 1994. CLUSTAL W: improving the sensitivity of progressive multiple sequence alignment through sequence weighting, position-specific gap penalties and weight matrix choice. J Nucleic Acids Res. 22(22):4673–4680. [DOI] [PMC free article] [PubMed] [Google Scholar]
  12. Wei L, Ye X, Lv Y, Teng Z, Gan B, Zou H, Mo F, Zhang S.. 2020. Complete mitochondrial genome and phylogenetic position of Pangasius sanitwongsei (Siluriformes: Pangasiidae). Mitochondrial DNA B Resour. 5(1):945–946. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

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

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/) under the accession number MZ286355.1. The associated BioProject, SRA, and Bio-Sample numbers are PRJNA730229 (https://www.ncbi.nlm.nih.gov/bioproject/PRJNA730229), SRR14569521 (https://www.ncbi.nlm.nih.gov/sra/SRR14569521), and SAMN19225391 (https://www.ncbi.nlm.nih.gov/biosample/SAMN19225391), respectively.


Articles from Mitochondrial DNA. Part B, Resources are provided here courtesy of Taylor & Francis

RESOURCES