Mitogenome of the Monotypic Genus Vittina: Genomic Characterization and Phylogenetic Analysis

Xiaoli Zhang*, Shuya Liu, Qin Sun and Bo Zhang

College of Environment and Life Health, Anhui Vocational and Technical College, Hefei 230011, China

ABSTRACT

Mitochondrial genome data for the family Neritidae are limited. In this study, the complete mitochondrial genome sequence of the aquatic snail Vittina turrita (Neritidae), an important species in the aquarium trade, was generated using Illumina HiSeq 2000 high-throughput and Sanger sequencing technologies for analyses of its composition and phylogenetic relationships. The entire mitochondrial genome of V. turrita was 15,692 bp (GenBank accession number PP706666), with an AT content of 64.1%. The mitochondrial genome sequence consisted of 13 protein-coding genes (PCGs), 22 tRNA genes, 2 rRNA genes, and 1 non-coding region. The 13 PCGs used ATN as the start codon and TAN and T as the stop codons. The DHU arms of tRNA-Ser1 and tRNA-Ser2 were missing in 22 tRNA genes. The genome sequence and structure were highly similar to those of other species in the family. Complete mitochondrial sequences of species in the Neritidae family were downloaded from GenBank for a phylogenetic analysis based on 13 PGCs. V. turrita and Vitta usnea were closely related, and the most recent classification of Vittina as a monotypic genus was supported. This study enriches the available sequence information for the family Neritidae and provides data for future phylogenetic analyses, resource conservation, and genetic diversity research.


Article Information

Received 13 September 2024

Revised 19 September 2024

Accepted 23 September 2024

Available online 09 July 2025

(early access)

Published 25 March 2026

Authors’ Contribution

XZ and BZ designed the study. XZ and SL executed experimental work. XZ and QS analyzed the data. XZ wrote the paper. XZ provided the laboratory equipment. XZ supervised the research.

Key words

Gastropoda, Neritidae, Phylogenetic analysis, Second-generation sequencing

DOI: https://dx.doi.org/10.17582/journal.pjz/20240913055840

* Corresponding author: [email protected]

0030-9923/2026/0003-1129 $ 9.00/0

Copyright 2026 by the authors. Licensee Zoological Society of Pakistan.

This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).



Introduction

The mitochondrial genomes of terrestrial mollusks are characterized by a small size (13–36 kb), with matrilineal inheritance, rare recombination, a conserved genome organization, and faster rates of evolution than those of the nuclear genome (Avise et al., 2003). They are widely used in systems biology, phylogenetics, systematic geography, and population genetic analyses of different taxonomic groups (White et al., 2011; Gaitán-Espitia et al., 2013; Menegon et al., 2014). Despite controversies regarding the use of the mitochondrial genome in systematic research (Delsuc et al., 2003), mitochondrial DNA remains the most used genetic marker. Next-generation sequencing technology has accelerated research in mitochondrial genomics, and the mitochondrial genomes of many vertebrates and insects have been sequenced and studied (Boore, 1999; Hahn et al., 2013; Wang et al., 2014). However, research on the mitochondrial genomes of mollusks is scarce (Kurabayashi and Ueshima, 2000; Boore et al., 2004; Grande et al., 2008; Sun et al., 2024a, b, c).

Terrett et al. (1996) analyzed the structure of the mitochondrial genome of the terrestrial snail Cepaea nemoralis, providing insight into the evolutionary development of the species. Subsequently, mitochondrial genomes for gastropods have been sequenced extensively, including analyses of gene sequences, gene structure, genetic applications, and phylogenetic relationships (Terrett et al., 1996; Grande et al., 2002; Steiner, 2003; Dejong et al., 2004; Knudsen et al., 2006; Kerr, 2013). Ongoing efforts are aimed at expanding whole mitochondrial genome data for gastropod species. Incomplete genome sequencing data and species information limit in-depth explorations of the classification and evolution of gastropods.

Vittina turrita (Gmelin, 1791) snails in the family Neritidae have shells that are oblong-conical, lightly striated, shiny, spire elevated, pointed, and yellow, with oblique, curved, or rippled black stripes. The shells are 25–32 mm in length. The aperture is white and the columellar area is yellow-tinted. This species is found throughout the Indo-Pacific region, including Madagascar, Japan, Indonesia, and the western Pacific Ocean Islands; it has not been found in India and Australia (Hristov, 2020). Although popular in the ornamental aquarium trade, V. turrita has not been successfully bred in captivity, and animals are wild-caught, presenting a potential biohazard and depleting natural populations. In this study, the entire mitochondrial genome of V. turrita was sequenced, enriching the molecular data for Gastropoda and Neritidae and providing data for the systematic classification of these taxa.

Materials and Methods

Sample collection and DNA extraction

V. turrita samples (2024BM) were collected on January 1, 2024, from the Flower, Bird, Fish and Insect Market in Fangcun, Guangzhou, Guangdong Province (23.064612°N, 113.206001°E). After morphological identification, samples were stored in anhydrous ethanol at -20 °C. Sterilized tweezers and scissors were used to obtain a small piece of muscle tissue, which was cut into small pieces. Genomic DNA was extracted according to the manufacturer’s instructions. Then, 80 μL of sterilized water was used to dissolve genomic DNA. The DNA quality was assessed using 1% agarose gel electrophoresis, and DNA purity and concentration were determined using an ultra-micro spectrophotometer. DNA barcoding technology was used to ensure the accuracy of identification.

Mitochondrial genome sequencing, assembly, and analysis

Second-generation high-throughput sequencing technology was used to sequence the entire genome of V. turrita mitochondria. Quality control was performed by filtering out low-quality reads, sequences with high N-rates, and adaptor sequences. After quality control, the contigs were subjected to sequence alignment using Vitta usnea (GenBank No. KU342665) as the reference genome, and paired-end data were input into Genius 9.0.2 for assembly. The ORFfinder online tool was used to determine the boundaries of protein-coding genes (PCGs), and tRNA-scan was used to predict the position and secondary structure of tRNA. Structure and function were annotated using the MITOS online service and manually corrected using Geneious 9.0.2. A gene structure diagram of the assembled sequences was constructed using the OGDRAW online platform. Finally, the complete mitochondrial genome data for V. turrita were submitted to the NCBI GenBank database. PhyloSuite v1.2.1 was used to analyze the base composition, codon bias, and usage. The asymmetry of the mitochondrial genome chain (i.e., the deviation in composition between the two chains) was calculated using the following formulas: AT skew = (A-T)/(A+T) and GC skew = (G-C)/(G+C).

Phylogenetic analysis

Based on the 13 PCGs of 26 species from different taxa of the family Neritidae (Table I), a phylogenetic tree was constructed using the maximum likelihood (ML) method, with Divia briandi (family Phenacolepadidae) and Pleuropoma jana (family Helicinidae) as outgroups. The PCGs were extracted using PhyloSuite v1.2.1 for tandem analyses. An ML tree was constructed using IQ-TREE v.1.6.8, and the tree model was determined using ModelFinder. The number of bootstrap replicates was set to 50000. The phylogenetic tree was visualized using iTOL.

 

Table I. Basic information of 28 mitochondrial genomes used in this study.

Family/ Species

Accession number

Length/ bp

AT (%)

Helicinidae

Pleuropoma jana

KU342666

15,851

74.6

Neritidae

Clithon corona

MW694825

15,975

64.8

Clithon lentiginosum

MW694826

15,885

64.8

Clithon oualaniense

MT568501

15,706

65.8

Clithon retropictum

MG190355

15,802

64.9

Clithon sowerbianum

MT230542

15,919

64.5

Clithon squarrosum

MW694827

15,905

65.0

Neripteron violaceum

OL679703

15,618

65.8

Nerita albicilla

MK516738

15,314

64.5

Nerita balteata

MN477253

15,571

63.3

Nerita chamaeleon

MT161611

15,716

65.8

Nerita costata

OM048761

15,604

61.6

Nerita histrio

OM048766

15,538

65.5

Nerita insculpta

OM048762

15,721

61.5

Nerita japonica

MN747116

15,875

65.2

Nerita melanotragus

GU810158

15,261

63.5

Nerita ocellata

OM048763

15,577

63.8

Nerita plicata

OM048764

15,737

61.6

Nerita reticulata

OM048765

15,630

65.3

Nerita undata

MN477254

15,583

63.2

Nerita yoldii

MK395169

15,719

64.7

Neritina iris

MW694828

15,618

64.3

Neritina violacea

MT230543

15,618

65.8

Septaria lineata

MW694829

15,697

65.8

Theodoxus fluviatilis

MT628587

15,667

66.1

Vitta usnea

KU342665

15,574

64.0

Vittina turrita

PP706666

15,692

64.1

Phenacolepadidae

Divia briandi

MH837541

13,618

61.7

 

Results

Mitochondrial genome structure and composition

The V. turrita mitochondrial genome was 15,692 bp (GenBank accession PP706666) and consisted of 37 genes and a control region (CR), including 13 PCGs, 22 tRNA genes, and two rRNA genes (Fig. 1). Among the 37 mitochondrial genes, the L-chain encoded 22 genes, including six PCGs, 14 tRNA genes, and two rRNA genes, while the H-chain encoded seven PCGs and eight tRNA genes. Six genes overlapped with a total length of 6 bp. Gene intervals with a total length of 156 bp were found at 18 gene junctions, and the longest gene interval was 28 bp, between COX3 and tRNA-Lys. No overlaps or spaces were observed at the remaining 13 intersections (Table II).

 

The basic composition of the 13 PCGs, 22 tRNA genes, and two rRNA genes in the complete mitochondrial genome of V. turrita is shown in Table III. The base content of the mitochondrial genome was A = 30.5%, T = 33.6%, C = 15.2%, and G = 20.4%, and the A+T content was 64.1%. The total length of the 13 PCGs was 11274 bp, and the A+T content was 63.2%. The A+T content in the tRNA genes was 62.7%, and that in the rRNA genes was 66.2%, indicating a significant AT bias in the nucleotide composition. In the V. turrita mitochondrial genome (Table III), the PCGs of the H-chain and tRNA genes of the H-chain both exhibited T and G biases. The PCGs encoded by the L chain exhibited T and C biases, whereas the tRNA genes of this chain exhibited A and G biases.

 

Table II. Composition of Vittina turrita mitochondrial genome.

Gene

Position

Size

Intergenic nucleotides

Codon

Str-and

From

To

Start

Stop

COX1

1

1548

1548

0

ATG

TAA

H

COX2

1560

2249

690

11

ATG

TAA

H

tRNA-Asp

2250

2316

67

0

H

ATP8

2317

2481

165

0

ATG

TAA

H

ATP6

2488

3189

702

6

ATG

TAA

H

tRNA-Phe

3211

3279

69

21

L

ND5

3280

4993

1714

0

ATG

T

L

tRNA-His

4993

5059

67

-1

L

ND4

5060

6416

1357

0

ATA

T

L

ND4L

6419

6712

294

2

ATG

TAA

L

tRNA-Thr

6716

6784

69

3

H

tRNA-Ser

6790

6855

66

5

L

CYTB

6861

7997

1137

5

ATG

TAA

L

ND6

8008

8508

501

10

ATT

TAA

L

tRNA-Pro

8515

8581

67

6

L

ND1

8583

9515

933

1

ATG

TAG

L

tRNA-Leu

9515

9583

69

-1

L

tRNA-Leu2

9583

9653

71

-1

L

16S rRNA

9654

10957

1304

0

L

tRNA-Val

10958

11026

69

0

L

12S rRNA

11027

11889

863

0

L

tRNA-Met

11890

11957

68

0

L

tRNA-Tyr

11962

12030

69

4

L

tRNA-Cys

12035

12100

66

4

L

tRNA-Trp

12100

12166

67

-1

L

tRNA-Gln

12166

12235

70

-1

L

tRNA-Gly

12235

12301

67

-1

L

tRNA-Glu

12302

12368

67

0

L

CR

12369

12959

591

0

H

COX3

12960

13739

780

0

ATG

TAA

H

tRNA-Lys

13768

13835

68

28

H

tRNA-Ala

13851

13919

69

15

H

tRNA-Arg

13933

14002

70

13

H

tRNA-Asn

14010

14082

73

7

H

tRNA-Ile

14094

14163

70

11

H

ND3

14164

14517

354

0

ATG

TAG

H

tRNA-Ser2

14522

14590

69

4

H

ND2

14591

15692

1102

0

ATG

T

H

 

Table III. Nucleotide composition of the Vittina turrita mitochondrial genome.

Regions

Strand

Proportion of nucleotides (%)

AT skew

GC skew

Size (bp)

A

T

G

C

AT (%)

GC (%)

Full genome

30.5

33.6

20.4

15.2

64.1

35.6

-0.048

0.147

15,692

PCGs

25.3

37.9

18.5

18.4

63.2

36.9

-0.199

0.003

11,274

PCGs

H

23.2

39.8

22.3

14.7

63.0

37.0

-0.264

0.207

5,340

PCGs

L

27.2

36.2

15.0

21.7

63.4

36.7

-0.142

-0.182

5,934

tRNAs

30.5

32.2

21.9

15.3

62.7

37.2

-0.027

0.177

1,507

tRNAs

H

28.1

33.0

23.8

15.1

61.1

38.9

-0.080

0.222

555

tRNAs

L

31.9

31.8

20.8

15.4

63.7

36.2

0.002

0.148

952

rRNAs

35.7

30.5

17.3

16.6

66.2

33.9

0.078

0.020

2,167

 

PCGs

The lengths of the 13 PCGs in V. turrita ranged from 165 bp (ATP8) to 1714 bp (ND5), with a total length of 11,274 bp. The AT content was 63.2%, with an AT skew of -0.199 and a GC skew of 0.003. The start codon was ATN, and almost all genes used ATG or ATT as the start codon, with ATG having a higher frequency as the starting codon (Table II). Only a few genes had ATA as the start codon, such as the ND4 gene. For the termination codon, most genes had TAG or TAA. Partial termination codons with incomplete T codons were found in ND2, ND4, and ND5.

 

Thirteen PCGs encoded 3758 amino acids. Among the 20 amino acids, leucine (Leu), serine (Ser), phenylalanine (Phe), and valine (Val) were relatively frequent (Fig. 2), accounting for approximately 31.56%. Among these, the most frequent was Leu, accounting for approximately 15.93%. The frequencies of cysteine (Cys) and Arg were relatively low, accounting for only approximately 3.23%. Cys only accounted for approximately 1.52% of all amino acids. Relative Synonymous Codon Usage (RSCU) eliminates the influence of amino acid composition on codon usage. If there is no preference for the use of a codon, the RSCU value is 1. Values greater than 1 indicate that the codon is used relatively more often, and vice versa. The average frequencies of codon usage for UCU (Ser2), UUA (Leu2), ACU (Thr), CGA (Arg), and GCU (Ala) were relatively high (Fig. 3), with UCU (Ser2) having the highest frequency (2.50) and AGG (Ser1) having the lowest average frequency.

 

tRNA genes

V. turrita had 22 tRNA genes, including two large regions, MYCWQGE (tRNA-Met, tRNA-Tyr, tRNA-Cys, tRNA-Trp, tRNA-Gln, tRNA-Gly, and tRNA-Glu) and KARNI (tRNA-Lys, tRNA-Ala, tRNA-Arg, tRNA-Asn, and tRNA-Ile), which are located between the 12S rRNA and ND3 genes and separated by the COX3 gene. There were also two small gene fragments, tRNA-Thr/tRNA-Ser and tRNA-Leu/tRNA-Leu2, with the remaining six tRNAs scattered between the PCGs and rRNAs (Fig. 1, Table II). Their length range was 66–73 bp, with the longest being tRNA-Asn and the shortest being tRNA-Cys and tRNA-Ser. The tRNAs were relatively short, with an average of 68.5 bp. There was a high AT bias, and the base shift was consistent with that of the whole genome and PCGs, showing significant T- and G-specific bias.

tRNA-Ser and tRNA-Ser2 could not fold into typical secondary structures and their dihydrouracil (DHU) arm was missing, forming only one ring (Fig. 4). Except for these two tRNAs, all other tRNA genes had a typical clover structure (Rich and Rajbhandary, 1976). Some tRNA genes do not comply with the principle of complementary base pairing and abnormal cycling. G-U base pairs have been found in the secondary structures of tRNA genes, and these mismatched base pairs form unstable hydrogen bonds in the secondary structure. Most of the remaining base pairs comply with the principle of complementary base pairing, namely A-T pairing and G-C pairing, which play important roles in maintaining the stability of this tRNA secondary structure.

 

rRNA genes and control region

V. turrita contained two types of rRNAs: 16S rRNA and 12S rRNA. These were located between the tRNA-Leu2 and tRNA-Met genes and were separated by the tRNA-Val gene. The total length of rRNA was 2,167 bp, the length of the 16S rRNA was 1,304 bp, and the length of 12S rRNA was 963 bp (Table II). There was a high AT bias in the base composition (i.e., 66.2%). In addition, rRNA exhibited an opposite shift to the entire genome, with an AT shift of 0.078, indicating that most of the base content in rRNA was biased towards A.

The CR was the largest non-coding region. The V. turrita mitochondrial CR was located between the tRNA-Glu and COX3, and this region exhibited a high AT bias. The CR region had high variability and a length of 591 bp. In addition to the CR, relatively large regions non-coding regions were found between COX3 and tRNA-Lys, with an interval of approximately 28 bp, and between ATP6 and tRNA-Phe, with an interval of approximately 21 bp (Table II).

Phylogenetic analysis

A phylogenetic tree (Fig. 5) showed that species in the family Neritidae clustered into a monophyletic group. Clithon and Nerita were well-supported monophyletic groups. The Neritina clade included Septaria lineata, indicating that the monophyly of Neritina should be evaluated using additional mitochondrial genome data. Further analyses are required to determine the location of Theodoxus fluviatilis. V. turrita was closely related to Vitta usnea and distantly related to the Neritina genus. These results support the taxonomic status of Vittina as a monotypic genus.

 

Discussion

The mitochondrial genomes of mollusks typically exhibit significant AT and GC biases (Perna and Kocher, 1995). In the V. turrita mitochondrial genome, the PCGs of the H-chain and tRNA genes of the H-chain exhibited T and G biases, whereas the PCG encoded by the L-chain exhibited T and C biases and the tRNA genes of this chain exhibited A and G biases. A prominent feature of the mitochondrial genome of metazoans is the asymmetry in base composition between the two chains, usually with the L-chain biased towards A and C and the H-chain biased towards T and G (Perna and Kocher, 1995). The AT and GC skew of the V. turrita mitochondrial genome differed from the strand skew of mitochondrial DNA in other mollusks. The termination codons of most genes were TAG or TAA. Incomplete T codons were observed in ND2, ND4, and ND5; this incomplete termination codon is usually supplemented during transcription to obtain the complete termination codon T(AA) (Ojala et al., 1981).

Other than tRNA-Ser and tRNA-Ser2, which did not fold into typical secondary structures and were lacking a DHU arm (Fig. 4), the tRNA genes had a typical clover structure (Rich and Rajbhandary, 1976). Overall, the anti-codon arm and DHU arm of the tRNA secondary structure are relatively conserved regions, while the TΨC arm and circular region exhibit high levels of variation, including point mutations, insertions, and deletions (Wang et al., 2018). G-U base pairs were found in the secondary structure of the genes, and these mismatched base pairs formed unstable hydrogen bonds in the secondary structure of tRNA. Mismatched base pairs in the secondary structure of tRNA may be caused by mutations or base mismatches during mitochondrial gene copying. Because the mitochondrial genome is a naked snail DNA strand with no externally protected histones, it is susceptible to mutations caused by external environmental factors. In addition, there is no repair mechanism for nuclear genes during mitochondrial DNA replication, which increases the probability of mismatches during mitochondrial DNA replication. Most mismatches have been found in the amino acid arm (AA), DHU ring, and anticodon arm, as observed in many insects (Avise et al., 2003; Bae et al., 2004; He et al., 2005).

The CR of the entire mitochondrial genome contains short gene intervals that may serve as splice-recognition sites during transcription (He et al., 2005). The CR was the largest non-coding region in V. turrita and was located between the tRNA-Glu and COX3 genes. This area typically exhibits a high AT bias (Meng et al., 2013). It is also necessary for mitochondrial genome replication and transcription initiation (Fernández-Silva et al., 2003). A phylogenetic analysis showed that V. turrita and Vitta usnea are closely related and supported the classification of V. turrita as a monotypic genus.

Declarations

Acknowledgements

We kindly acknowledge anonymous reviewers for their fruitful and critical comments. We would like to thank Editage (www.editage.com) for their editing support.

Funding

Funded by Natural Science Research Project of Anhui Educational Committee, P.R. China (No. 2023AH051456).

Ethical approval

All specimens in this study were collected in accordance with the relevant Chinese laws. The collection and sampling of the specimens were reviewed and approved by the Animal Ethics Committee of Nanjing Forestry University. All the experiments were conducted with respect to animal welfare and care.

Data availability

Data presented in this study are openly available in the NCBI repository with accession numbers: PP706666

Statement of conflict of interest

The authors have declared no conflict of interests.

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