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. 2021 Sep 23;38:107418. doi: 10.1016/j.dib.2021.107418

New complete mitogenome datasets and their characterization of the European catfish (Silurus glanis)

Kinga Székvári a,b, Zoltán Szabolcsi c,d, Barbara Kutasy b,e, Géza Hegedűs f, Eszter Virág b,f,g,
PMCID: PMC8487008  PMID: 34632016

Abstract

We present new complete mitogenome sequences of Silurus glanis (S. glanis) from 4 samples such as male and female individuals from two countries (Hungary, Czech Republic). The complete mitochondria were determined from genome sequencing by using Illumina MiSeq platform resulting in long, 300 bp. paired-end reads. De novo assembly was performed resulting in one nod (scaffold) covering the total mitochondria in each sample. The mitochondrial genomes were circular, double-stranded molecules of 16,524 bp in length and consisted of 13 protein-coding genes (PCGs), 2 ribosomal RNA genes, 22 transfer RNA genes, and 1 control region. These sequences were deposited in the NCBI GeneBank under the accession numbers (MW796040, MW796041, MW796042, MW796043) and compared with the only available S. glanis mitochondrial genome (NC_014261.1) sequenced by unidentified technology and showed 99% similarity. We found in seq1 82, in seq2 82, seq3 83, seq4 82 nucleotide alterations involving 10 protein-coding genes and meaning 29 amino acid substitutions as well.

Keywords: Silurus glanis, Mitogenome, Wels catfish, Amino acid substitution

Specifications Table

Subject Genomics
Specific subject area Mitogenomics
Type of data Mitogenome sequence data in FASTA file format, tables, mitogenome map in figure format (.PNG)
How data were acquired Illumina MiSeq platform
Data format Raw and analyzed
Parameters for data collection Genomic DNAs were extracted with Thermo Scientific™ GeneJET Genomic DNA Purification Kit from caudal fin. The DNA concentration and purity were checked by agarose gel electrophoresis and spectrophotometric quantification. Libraries were prepared using the Nextera XT DNA Sample Preparation Kit according to the manufacturer's protocol (Wagle, Berger et al. 2012). The samples were sequenced using MiSeq v2 (2 × 301 bp) chemistries (Illumina).
Description of data collection Four Silurus glanis total gDNA samples were de novo sequenced and analyzed. Mitogenomes were reconstructed in silico in each sample. The circular mitochondrial genome map was drawn using Microsoft® Excel®. For sequence comparison, we used NCBI BLAST and Geneious 9.0.5.
Data source location Silurus glanis samples were collected from Southern Hungary and Northern Czech Republic rivers.
Data accessibility The mitogenome data is available in Genbank with the accession numbers:
MW796040 (https://www.ncbi.nlm.nih.gov/nuccore/MW796040.1/), MW796041 (https://www.ncbi.nlm.nih.gov/nuccore/MW796041.1/), MW796042 (https://www.ncbi.nlm.nih.gov/nuccore/MW796042.1/), MW796043 (https://www.ncbi.nlm.nih.gov/nuccore/MW796043.1/).
The raw reads are available in NCBI Sequence Read Archive with the accession numbers:
SRR15503605 (https://trace.ncbi.nlm.nih.gov/Traces/sra/?run=SRR15503605),
SRR15503606 (https://trace.ncbi.nlm.nih.gov/Traces/sra/?run=SRR15503606),
SRR15503607 (https://trace.ncbi.nlm.nih.gov/Traces/sra/?run=SRR15503607),
SRR15503608 (https://trace.ncbi.nlm.nih.gov/Traces/sra/?run=SRR15503608).

Value of the Data

  • We provided 4 new whole mitochondrial genomes of the European catfish (Silurus glanis, S. glanis). Continued expansion of mitochondrial genome databases to include both a greater number of species and increased representation of populations from throughout their range will provide an improved basis for analysis.

  • Our data will be useful for S. glanis species monitoring, phylogenetic, population, and evolutionary studies.

  • Illumina long read has been chosen and applied for the NGS sequencing methodology. The sequencing using paired-end reads of 300bp were uniquely used for whole mitochondrial genome sequencing in the case of the species of the Teleostei group. Higher coverage of the nucleotide positions and proper quality values of the assemblies (see N50 values) resulted in a more accurate whole mitochondrial genome of our samples. These mitogenomes were suggested and provided as new reference sequences for further studies.

1. Data Description

S. glanis is the largest-bodied European freshwater fish, Inhabitant of Native in Eastern Europe and western Asia. This species is now extensively dispersed and introduced in several countries to the west and south of its endemic range. The S. glanis belongs to the family Siluridae, a group of freshwater fish indigenous to Europe, Asia, and Africa. There are 107 species from 12 genera in this family. Among the 18 Silurus species, two are native to Europe: wels catfish and Aristotle's catfish (S. aristotelis). European catfish is the largest-bodied fish of the order Siluriformes and can attain a maximum length of 500 cm, although it more commonly reaches 300 cm [1].

The circular mitogenomes of S. glanis (GeneBank accession numbers MW796040, MW796041, MW796042, MW796043) were 16,524 bp in length, in all 4 samples, which contained 37 genes (13 protein-coding, 22 tRNAs, 2 rRNAs) and one control region displacement loop (D-loop) (Fig. 1, Table 2, Supplementary 1.). The genes encoded by the mitogenome are characteristic to the vertebrate mitocondrial genome. The organization of the genes also tends to be conserved among vertebrates for 37 genes and the D-loop, which are arranged in the same order from hagfish to eutherian mammals [2], [3], [4], [5], [6]. Information for each individual is presented in Table 1. The representative complete mitogenome map in Fig. 1. The 4 mitochondria showed 99% similarity, twelve of 13 PCGs contained the typical ATG as a start codon, however, the gene COI started with GTG. Similar data were found by Vittas; Wu et al.; Zeng et al. [7], [8], [9]. 6 genes (nad5, nad4L, atp6, atp8, COI, nad1) of 13 PCGs ended in TAA for the stop codon. 3 genes ended in TAG (nad2, nad3, nad6). 4 genes (cytb, nad4, COII, COIII) ended in only a T residue. Such immature stop codon is completed via post-transcriptional polyadenylation [10].

Fig. 1.

Fig 1

S. glanis mitochondrial genome. Genes for proteins and rRNAs are shown with standard abbreviations, outside of the circle. Genes for tRNAs are designated by a single letter for the corresponding amino acid, inside of the circle. Before the genes, it shows their position in seq4.

Table 2.

Reference genome gene organization.

Gene/Element Abbreviation Position Size(bp) Startcodon Stopcodon
NADH dehydrogenase subunit 4L ND4L 1–297 297 ATG TAA
NADH dehydrogenase subunit 4 ND4 291–1671 1381 ATG T*
tRNAHis H 1672–1741 70
tRNASer S 1742–1807 66
tRNALeu L 1811–1883 73
NADH dehydrogenase subunit 5 ND5 1884–3710 1827 ATG TAA
NADH dehydrogenase subunit 6 ND6 3707–4225 519 ATG TAG
tRNAGlu E 4226–4294 69
cytochrome b CYTB 4296–5433 1138 ATG T*
tRNAThr T 5434–5504 71
tRNAPro P 5503–5572 70
control region D-loop 5573–6459 887
tRNAPhe F 6460–6529 70
12S ribosomal RNA 12S 6530–7482 953
tRNAVal V 7483–7554 72
16S ribosomal RNA 16S 7555–9232 1678
tRNALeu L 9233–9307 75
NADH dehydrogenase subunit 1 ND1 9308–10282 975 ATG TAA
tRNAIle I 10284–10355 72
tRNAGln Q 10355–10425 71
tRNAMet M 10425–10493 69
NADH dehydrogenase subunit 2 ND2 10494–11540 1047 ATG TAG
tRNATrp W 11539–11609 71
tRNAAla A 11612–11680 69
tRNAAsn N 11682–11754 73
tRNACys C 11789–11854 66
tRNATyr Y 11858–11927 70
cytochrome c oxidase subunit I COI 11929–13479 1551 GTG TAA
tRNASer S 13480–13550 71
tRNAAsp D 13555–13626 72
cytochrome c oxidase subunit II COII 13641–14331 691 ATG T*
tRNALys K 14332–14405 74
ATP synthase F0 subunit 8 ATP8 14407–14574 168 ATG TAA
ATP synthase F0 subunit 6 ATP6 14565–15248 684 ATG TAA
cytochrome c oxidase subunit III COIII 15248–16031 784 ATG T*
tRNAGly G 16032–16104 73
NADH dehydrogenase subunit 3 ND3 16105–16455 351 ATG TAG
tRNAArg R 16454–16524 71

Table 1.

Reported mitogenome samples.

Sample ID GeneBank accession number Origin Gender GC% AT%
seq1 MW796040 Czech Republic female 44,86 5514
seq2 MW796041 Czech Republic male 44,86 5514
seq3 MW796042 Czech Republic female 44,86 5514
seq4 MW796043 Hungary male 44,87 5513

In seq1 and seq3, which are female samples, control region, trnP, trnT, CYTB, ND5, trnL, trnS, trnH, ND4, ND4L, trnR, ND3, trnG, COX3, ATP6, ATP8, trnK, COX2, trnD, COX1, trnW, ND2, trnM, trnI, ND1, trnL, rrnL, trnV, rrnS, trnF were encoded by the H-strand, trnQ, trnA, trnN, trnC, trnY, trnS, ND6, trnE, were encoded by the L-strand. On the other hand, in seq2 and seq4, which are males, trnQ, trnA, trnN, trnC, trnY, trnS, ND6, trnE, were encoded by the H-strand, control region, trnP, trnT, CYTB, ND5, trnL, trnS, trnH, ND4, ND4L, trnR, ND3, trnG, COX3, ATP6, ATP8, trnK, COX2, trnD, COX1, trnW, ND2, trnM, trnI, ND1, trnL, rrnL, trnV, rrnS, trnF were encoded by the L-strand.

Amino acid sequences were compared to the only available S. glanis mitogenome (NC_014261.1). From the 13 PCGs, we found differences in 10, which are nad2, nad3, nad4, nad4L, nad5, nad6, cytb, COI, COII, COIII. Atp6, atp8, and nad1 were the same in the 4 examined samples and in the S. glanis mitochondrial genome (NC_014261.1) sequence as well. In cytb and nad6 was 1, in nad2 and COIII were 2, in COI were 3, in nad4L and nad5 were 4, in nad4 and nad3 were 5 amino acid changes comparing to the only available S. glanis sequence (NC_014261.1). COII showed differences in seq3 there were 2 amino acid changes, in seq1, seq2, and seq4 was only 1. The amino acid changes are shown in Table 3 (Supplementary 2.). Sequencing multiple mitochondrial genomes from the same species, S. glanis revealed varying levels of intraspecies genetic variation.

Table 3.

The observed amino acid changes in the 13 protein-coding genes in the examined S. glanis samples. Black and red colors indicate the changes of NC_014261.1 to examined amino acids at the position of the gene sequence. Each indicated amino acid changes were detected uniformly in the four newly identified mitogenomes. *The Val154Ile substitution in the cox2 gene was observed only in seq3.

Protein coding genes Amino acid changes
nad1 -

cytb Val145Ile

nad6 Val42Ile

nad5 Asn76Ser
Val211Ile
Ile538Met
Thr599Ala

nad4 Ser71Cys
Phe73Leu
Val76Leu
Ala338Thr
Pro339His

nad4L Phe53Ser
Cys56Phe
Met61Ile
Arg62Leu

nad3 Pro36Ser
Asp39Glu
Ser44Pro
His55Arg
Ser56Phe

cox3 Pro140Ser
Gly142Val

atp6 -

atp8 -

cox1 Met1Val
Gln111Leu
His260Tyr

cox2 Ile76Val
Val154Ile*

nad2 Ser179Leu
Pro326Leu

The phylogenetic relationship of S. glanis was compared with previously analyzed mitogenomes of other Siluriformes, Silurus, Kryptopterus, Ompok, and Pterocryptis genus in Siluridae family and on two other genera, Ictalurus in Ictaluridae, Pangasianodon in Pangasiidae family. The phylogenetic tree is shown in Fig. 2. The phylogenetic location of S. glanis was the closest to S. microdorsalis. Similar results were found by Park et al.; Yang et al. [11,12].

Fig. 2.

Fig 2

Phylogenetic tree of Silurus glanis with other catfishes. Based on the mitochondrial 12S rRNA.

2. Experimental Design, Materials and Methods

S. glanis samples were collected from Hungary and Czech Republic rivers. The genomic DNAs were extracted with Thermo Scientific™ GeneJET Genomic DNA Purification Kit from caudal fin and stored at −70 °C. After the extraction, we checked the DNA concentration and purity by agarose gel electrophoresis and spectrophotometric quantification. Four S. glanis total gDNA samples were de novo sequenced and analyzed. Mitogenomes were reconstructed in silico in each sample. Libraries were prepared using the Nextera XT DNA Sample Preparation Kit according to the manufacturer's protocol [13], unless otherwise stated. Sequencing reactions were carried out using the MiSeq v2 (2 × 301 bp) chemistries (Illumina). Similar sequencing technique was used by Austin et al.; Tabassum et al.; Alam et al. [14], [15], [16]. The raw reads were cleaned by the trimming of adaptor sequences, empty reads, and ambiguous nucleotides (‘N’ at the end of the reads). The reads obtained were then assembled using the SPAdes (St Petersburg genome assembler) assembly toolkit containing various assembly pipelines based on the Bruijn Graph [17,18]. Total genome sizes of four individuals were approximately between 800–810 Mb, with 4383–4388 scaffolds and N50 varied between 3.1–3.4 Mb. The predicted genome size was corresponding to the most closely related Silurus asotus (831–1411 Mb) [19] and other Siluriformes, whose genome sizes vary from 599 Mb in Bagarius yarrelli [20] to 1200 Mb in Clarias batrachus [21]. The longest individual scaffolds were 9–9.5 Mb. Mitochondrial genomes were separated into individual scaffolds: NODE_3 (seq1), NODE_4 (seq3), NODE_6 (seq4), NODE_8 (seq2) with the same length 16,524 and k-mer coverage for the last (largest) k values used were 46.985597, 56.102578, 65.455701 and 50.835330. The sequencing coverage varied between 140–150x of the four mitochondrial genomes. The base composition was GC 44, 86% and AT 55, 14% in the samples from Czech Republic and GC 44, 87% and AT 55, 13% in the sample from Hungary. The mitogenome contigs were identified by BLAST+ [22] alignments to the previously published S. glanis mitochondrial genome (NC_014261.1). For sequence comparison, we used NCBI BLAST [23] and Geneious 9.0.5 [24]. The phylogenetic analysis was performed using Geneious 9.0.5 with the Geneious Tree Builder, the Alignment type was Global alignment with free end gaps, the Genetic Distance Model was Tamura-Nei, and the Tree built Method was Neighbor-Joining. The analysis is based on the mitochondrial 12S rRNA, because this gene sequence is frequently used in molecular taxonomy and phylogeny [25], [26], [27], [28]. For phylogenetic analysis, nucleotide sequences were downloaded from the NCBI database.

Ethics Statement

This study is based on non-living animal experiments, only tissue samples. Do not require an ethics statement.

CRediT authorship contribution statement

Kinga Székvári: Visualization, Investigation. Zoltán Szabolcsi: Conceptualization, Methodology. Barbara Kutasy: Data curation, Writing – original draft. Géza Hegedűs: Software, Resources. Eszter Virág: Software, Resources, Supervision, Writing – review & editing.

Declaration of Competing Interest

The authors report no conflict of interest. The authors alone are responsible for the content and writing of the paper. The first and second authors participated in equal proportions of the work.

Acknowledgment

We express our thanks to the EduCOmat Ltd, Hungary to perform bioinformatics analysis and support the publication.

Footnotes

Supplementary material associated with this article can be found in the online version at doi:10.1016/j.dib.2021.107418.

Appendix. Supplementary materials

mmc1.xlsx (23.9KB, xlsx)
mmc2.xlsx (3.9MB, xlsx)

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Associated Data

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Supplementary Materials

mmc1.xlsx (23.9KB, xlsx)
mmc2.xlsx (3.9MB, xlsx)

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