Next Article in Journal
Evolutionary Trajectories of Primary and Metastatic Pancreatic Neuroendocrine Tumors Based on Genomic Variations
Previous Article in Journal
Up-Regulation of Interleukin-10 in Splenic Immune Response Induced by Serotype A Pasteurellamultocida
Previous Article in Special Issue
Mitochondrial Genome of Strophopteryx fasciata (Plecoptera: Taeniopterygidae), with a Phylogenetic Analysis of Nemouroidea
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

The Complete Mitochondrial Genome of Spirobolus bungii (Diplopoda, Spirobolidae): The First Sequence for the Genus Spirobolus

1
Co-Innovation Center for Sustainable Forestry in Southern China, College of Biology and the Environment, Nanjing Forestry University, Nanjing 210037, China
2
Dongtai National Forest Farm of Jiangsu Province, Dongtai 224200, China
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Genes 2022, 13(9), 1587; https://doi.org/10.3390/genes13091587
Submission received: 22 July 2022 / Revised: 14 August 2022 / Accepted: 1 September 2022 / Published: 3 September 2022
(This article belongs to the Special Issue Phylogeny and Genetic Diversity of Insects)

Abstract

:
Millipedes (Diplopoda) comprise one of the most important groups of large soil arthropods in terrestrial ecosystems; however, their phylogenetic relationships are poorly understood. Herein, the mitochondrial genome (mitogenome) of Spirobolus bungii was sequenced and annotated, which was 14,879 bp in size and included 37 typical mitochondrial genes (13 protein-coding genes (PCGs), two ribosomal RNA genes (rRNAs), and 22 transfer RNA genes (tRNAs)). Most of the 13 PCGs had ATN (AT/A/T/G) as the start codon except for COX1, which used CGA, and most PCGs ended with the T end codon. By comparing the gene arrangements of the mitogenomes among Diplopoda species, rearrangement occurred between and within orders. In contrast to Narceus annularus, the mitogenome genes of S. bungii had consistent orders but were transcribed in completely opposite directions, which was a novel finding in Spirobolidae. Moreover, the phylogenetic relationships within Diplopoda, which were based on the sequences of 13 PCGs, showed that S. bungii was clustered with N. annularus, followed by Abacion magmun. This indicated that there might be a close relationship between Callipodida and Spirobolida. These results could contribute to further studies on the genetics and evolutionary processes of S. bungii and other Diplopoda species.

1. Introduction

Millipedes Spirobolus bungii (S. bungii) belongs to the Spirobolidae family of the Diplopoda class [1]. Diplopoda comprise one of the most important groups of large soil arthropods in the terrestrial ecosystems [2], with key decomposition and nutrient cycling functions in forests [3]. They also serve as model organisms for addressing myriad evolutionary, ecological, and biological concepts and questions [4]. Diplopoda are found worldwide and reside within forests, meadows, mountains, caves, farmlands, urban green spaces, and residential areas [1]. While there have been interesting studies on millipedes in recent years, they remain a largely unexplored group, with only 12,000 of the predicted 60,000 [5] to 80,000 [6] species that are currently described. To date, there are very few studies on Diplopoda and even fewer for species in China [7,8]. Furthermore, phylogenetic studies based on morphological characteristics between diplopod taxa are rare [9,10].
Molecular data have become increasingly important in recent years. In animals, the typical mitochondrial genome (mitogenome) is a circular double-stranded DNA molecule, which encodes 13 protein-coding genes (PCGs) for the enzymes required for oxidative phosphorylation, two ribosomal RNA genes (rRNAs), and 22 transfer RNA genes (tRNAs) necessary for the translation of the proteins encoded by the mitogenome [11,12]. Compared with individual genes, the mitogenome remains a promising tool for inferring phylogenetic relationships due to its high information content. Recently, some mitogenomes in Diplopoda were published and applied to explore phylogenetic relationships [13,14,15,16]. However, only a few mitogenomes have been published for Spirobolida [17]. Further, the arrangement of genes in mitogenomes is remarkably variable across Diplopoda [13,17,18].
In this study, for the first time, the S. bungii mitogenome was assembled and characterized. The structural organization, nucleotide composition, codon usage, and AT/GC-skew were analyzed. Additionally, we conducted phylogenetic analyses based on 13 PCGs available elsewhere for the purpose of investigating the phylogenetic position of S. bungii within Diplopoda, which might further elucidate the genetics and evolutionary processes of S. bungii and other Diplopoda species.

2. Materials and Methods

2.1. Sample Collection and DNA Extraction

The specimens used in this study were collected from the Purple Mountain (30°01′ N, 118°48′ E) in 2019, where an existing deciduous broadleaved mixed forest is dominated by oaks (e.g., Quercus varialis BL, Q. accutissima Carruth), in Nanjing, Jiangsu Province, China. Following morphological identification, the samples were stored at −20 ℃ in the Ecology Laboratory of Nanjing Forestry University (Accession No: NFU20191103). The total genomic DNA was prepared from a small portion of body segments of a single individual using the SDS-protease K-alcohol phenyl-trichlormethane method. The remaining tissue was stored at −20 °C in 90% ethanol to preserve the specimens.

2.2. Mitogenome Sequencing, Assembly, and Annotation

The complete genomic library of S. bungii was established using an Illumina HiSeqNano DNA Sample Prep Kit (Illumina, San Diego, CA, USA), whereas the sequencing was performed using next-generation sequencing (NGS) via Illumina Hiseq2000 (Illumina, USA). To generate clean data, low-quality sequences were removed. About 40 million reads with a GC content of 43.65% were assembled to obtain a complete mitogenome using SPAdes v3.11.1 [19]. Thus, the complete mitochondrial genome sequence was used to predict the transcriptional direction of each gene component using the Improved de novo Metazoan Mitochondrial Genome Annotation (MITOS) platform [20]. The annotated mitochondrial genome sequence of S. bungii was submitted to GenBank (Accession: NC_056899.1).

2.3. Sequence Analysis

The mitochondrial ring structure was plotted by comparative genomics (CG) View Server [21], and 22 tRNA clover two-dimensional structures were predicted using tRNAscan-Se [22]. The composition skew was calculated according to the following formulae: AT-skew = (A − T)/(A + T) and GC-skew = (G − C)/(G + C) [23]. Next, a visual graph of the composition skew was created using the ggplot2 packages in R v.4.2.0. Moreover, the R script for the relative synonymous codon usage (RSCU) frequency graph was generated from PhyloSuite [24], which was then run in R v.4.2.0.

2.4. Phylogenetic Analysis

To clarify the phylogenetic position of S. bungii, the available complete mitogenomes were obtained from GenBank and were comprised of nine orders and 27 species (Table 1). Stylochyrus rarior (GenBank accession: CQ927176.2) from order Mesostigmata was used as the outgroup. A total of 27 species, including S. bungii, were employed to develop phylogenetic trees based on 13 PCGs.
All operations were performed with the PhyloSuite software package [24]. The sequences were aligned in batches using MAFFT software [25]. Ambiguously aligned areas were removed using Gblocks [26]. ModelFinder was utilized to partition the codons and identify the best substitution model for phylogenetic analyses [27]. Phylogenetic trees were constructed with Bayesian inference (BI) and maximum likelihood (ML). The ML phylogenies were inferred using IQ-TREE [28] under the model automatically selected by IQ-TREE (‘Auto’ option in IQ-TREE) for 5000 ultrafast [29] bootstraps, as well as the Shimodaira–Hasegawa-like approximate likelihood-ratio test [30]. BI analysis was performed using MrBayes v.3.2.6 [31] with four chains (one cold chain and three hot chains). Two independent runs of 2,000,000 generations were conducted with sampling every 100 generations. The first 25% of trees were discarded as burn-in.

3. Results and Discussion

3.1. Mitogenome Structure and Organization

Akin to other well-characterized firefly mitochondrial genomes, the mitogenome of S. bungii was a double-stranded circular DNA molecule, which contained 37 typical mitochondrial genes (13 PCGs, 22 tRNAs, and two rRNAs) (Figure 1 and Table A1). Four PCGs (ND1, ND4L, ND4, and ND5), two rRNAs, and nine tRNAs (trnV, trnL(UAG), trnL(UAA), trnP, trnH, trnF, trnY, trnQ, and trnC) were transcribed from the major stand (J-stand), and the other genes from the minor strand (N-strand) (Figure 1 and Table 2). Fifteen intergenic spacers were observed between the mitochondrial regions with lengths between −6 and 40 bp. Among these intergenic spacers, the longest was 17 bp (found between trnQ and trnT) (Table 2).
The complete mitochondrial genome was 14,879 bp in size, and its overall base composition was 26.60% for A, 32.62% for T, 28.44% for G, and 12.34% for C, with a GC content of 40.78% (Table 3), which was slightly higher than other Diplopoda species (Table A1) [15,32]. The AT-skew of S. bungii was negative, while the GC-skew was positive, which was opposed to Narceus. annularus in the same family Spirobolidae (Figure 2). Further, the GC-skews of all Polydesmida species were positive, while the AT-skews for all of this order were negative, which was completely opposed to the Spirostretida order (Figure 2).

3.2. The PCGs

The total length of the PCGs was 10,977 bp, which was consistent with other Diplopoda species (Table A1). The base composition of the PCGs was A = 24.53%, T = 32.22%, G = 20.46%, and C = 22.78% (Table 3). In contrast to the whole mitochondrial genome, the AT- and GC-skews were both negative, which were the same as the almost Spirostreptida species (Figure 2).
The gene arrangements of 13 PCGs were COX1, ND2, ND1, ND4L, ND4, ND5, Cytb, ND6, ND3, COX3, ATP6, ATP8, and COX2. Half of the PCGs began with a common ATG start codon, and most PCGs ended with a T end codon (Table 2). In the 13 PCGs, ND1, ND4L, ND4, ND5, CYTB, ND6, ND3, COX3, ATP6, ATP8, COX2, and ND2 used ATN (ATA/T/G/C) as the start codon, while COX1 was initiated by CGA. All PCGs stopped with TAA/G or with their incomplete single T form (Table 2). The single T as the stop codon has been found in other species [33,34,35,36].
The RSCU of the S. bungii mitogenome is presented in Figure 3, which indicates that Leu, Val, and Gly were the three most frequently utilized amino acids, and Cys had the lowest concentration (Figure 3B). Nine of the twenty-two amino acids (i.e., Pro, Thr, Leu1, Arg, Ala, Ser1, Ser2, Val, and Gly) had four codons, while the others had two (Figure 3A).

3.3. Transfer RNAs and Ribosomal RNAs

The typical sets of the 22 tRNAs were identified with sizes ranging from 57 bp (trnS) to 68 bp (trnQ) (Table 2). Moreover, the total length of the tRNAs was 1375 bp, with an A+T content of 65.02%, an AT-skew of 0.056, and a GC-skew of 0.089. Among all secondary structures of the 22 tRNA genes from the S. bungii mitochondrial genome, except for trnS1, all had a typical cloverleaf structure (Figure 4), as observed in other Diplopoda mitogenomes [10].
For S. bungii, the rrnL gene (length: 1270 bp) was encoded between trnV and trnL1, and the rrnS gene was 803 bp long. The total size of the two rRNAs was 2073 bp, with an A+T content of 66.14%, an AT-skew of −0.102, and a GC-skew of 0.345, which were higher than the other regions (Table A1). The rRNA AT-skews of all these species were positive, while the GC-skews were negative except for Anaulaciulus gracilipes (Figure 2).

3.4. Phylogenetic Analysis

Based on ML and BI analyses of nucleotide data of the 13 PCGs, we reconstructed the phylogenetic relationships of 26 species of Diplopoda, with S. rarior (Arachnida) as an outgroup. The two trees were similar to each other, with strongly supported branches (Figure 5). For the BI tree, Callipodida was clustered with Sphaerotheriida and Glomeridesmida, while it did not cluster with any species for the ML tree. However, S. bungii was most closely related to N. annularus, and the relationships between Callipodida, Spirobolida, Julida, and Spirostreptida were stable, which was congruent with a previous study of mitochondrial genomes [32].

3.5. Gene Arrangement among Diplopoda Classes

By comparing the gene arrangements of the mitogenomes between Diplopoda species, rearrangement occurred between and within orders (Figure 6). The positions of trnT for Julida differed from those of Spirobolida and Spirostreptida, which had similar gene arrangement patterns (Figure 6). Within Julida, the positions of trnC and trnW were inversed (Figure 6), which were found in fireflies [37]. An interesting phenomenon occurred where the gene orders of the mitogenomes between S. bungii and N. annularus were consistent, while they were transcribed in completely opposite directions (Figure 6). This was also found in the Glomeridesmidae family of the Glomeridesmida order (Figure 6). Further, the positions of trnP in Antrokoreana gracilipes and Anaulacilus koreanus, which belonged to Julida order, were consistent but transcribed in opposite directions (Figure 6).

4. Conclusions

The mitogenome of S. bungii was determined to be 14,879 bp in length, with a GC content of 40.78%. Additionally, based on a mitogenomic analysis of S. bungii, we found an intriguing phenomenon, where the AT- and GC-skews of the S. bungii mitogenome were opposed to most Diplopoda, while those of the 13 PCGs were consistent, except for Polydesmida. Consequently, this mitogenome, particularly the 13 PCGs, will assist with elucidating the genetic diversity, evolutionary origins, and genetic relationships of Diplopoda. The arrangement of genes in mitogenomes was remarkably variable across Diplopoda. Conversely, the mitogenome genes had consistent orders; however, for the Glomeridesmida and Spirobolida orders, they were transcribed in opposite directions. This indicated that the phenomenon was prevalent in Diplopoda, which will warrant additional investigations in the future. Furthermore, these results provide valuable data for the future resolution of phylogenetic relationships in this tribe.

Author Contributions

H.R. and H.L. conceived and designed this study. Y.F. analyzed the data. H.X. and Y.F. wrote the manuscript. H.X., G.C. and C.S. contributed reagents/materials/analysis tools. H.R. and H.L. contributed to the revision of the manuscript. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the National Science Foundation of China (Grant No. 32071594 and 32101339) and the National Key Research and Development Program of China (2021YFD02200403).

Institutional Review Board Statement

Ethical review and approval was not required for the animal study because millipedes are common soil animals and are not listed in the IUCN Red List of Threatened Species.

Informed Consent Statement

Not applicable.

Data Availability Statement

The data that support the findings of this study are openly available in the US National Center for Biotechnology Information (NCBI database) (available online: https://www.ncbi.nlm.nih.gov/nuccore/NC_056899.1, accessed on 22 June 2022).

Conflicts of Interest

The authors declare no conflict of interest.

Appendix A

Table A1. Nucleotide composition indices in different regions of Diplopoda mitogenomes.
Table A1. Nucleotide composition indices in different regions of Diplopoda mitogenomes.
RegionOrganismLength (bp)A%T%AT-SkewG%C%GC-Skew
WholeAbacion magnum15,16036.67 29.90 0.102 9.54 23.86 −0.429
mitogenomeGlomeridesmus sp. ITV891814,84836.58 40.19 −0.047 15.62 7.60 0.345
Glomeridesmus spelaeus14,81940.10 36.42 0.048 7.65 15.82 −0.348
Anaulaciulus koreanus14,91636.06 39.03 −0.040 10.87 14.04 −0.127
Antrokoreana gracilipes14,74729.76 32.33 −0.041 17.41 20.10 −0.072
Brachycybe lecontii15,11539.22 37.41 0.024 7.92 15.38 −0.320
Asiomorpha coarctata15,64425.80 41.65 −0.235 23.26 9.29 0.429
Epanerchodus koreanus15,58127.81 47.30 −0.260 17.99 6.90 0.446
Appalachioria falcifera15,28220.23 43.81 −0.368 25.90 10.06 0.441
Xystodesmus sp. YD-201615,79126.22 40.79 −0.217 24.25 8.73 0.471
Sphaerotheriidae sp. HYS-201214,97037.90 33.35 0.064 9.27 19.49 −0.355
Narceus annularus14,86834.07 29.67 0.069 10.94 25.32 −0.397
Spirobolus bungii14,87926.60 32.62 −0.102 28.44 12.34 0.395
Thyropygus sp. DVL-200115,13336.50 31.29 0.077 11.35 20.86 −0.295
Chaleponcus netus15,09337.05 37.36 −0.004 9.63 15.95 −0.247
Prionopetalum kraepelini15,11437.09 33.94 0.044 10.01 18.96 −0.309
Archispirostreptus gigas15,17734.88 31.66 0.048 12.55 20.91 −0.250
Macrolenostreptus orestes15,36736.64 31.33 0.078 11.10 20.93 −0.307
Pseudotibiozus cerasopus15,12139.27 33.36 0.081 9.85 18.18 −0.297
Tropostreptus austerus15,26134.66 32.09 0.038 12.81 20.46 −0.230
Tropostreptus droides15,17236.36 32.67 0.053 11.26 19.70 −0.273
Tropostreptus hamatus15,15035.71 31.52 0.062 12.13 20.64 −0.260
Tropostreptus kipunji15,17036.66 32.72 0.057 11.15 19.45 −0.271
Tropostreptus microcephalus15,16936.32 32.82 0.051 11.34 19.51 −0.265
Tropostreptus severus15,20935.64 32.11 0.052 12.06 20.19 −0.252
Tropostreptus sigmatospinus15,17236.37 32.80 0.052 11.34 19.49 −0.264
Protein Abacion magnum10,99528.39 36.27 −0.122 16.99 18.32 −0.038
codingGlomeridesmus sp. ITV891810,89334.00 42.24 −0.108 11.24 12.52 −0.054
Glomeridesmus spelaeus10,86033.88 42.14 −0.109 11.46 12.52 −0.044
Anaulaciulus koreanus11,03432.83 41.73 −0.119 13.15 12.29 0.034
Antrokoreana gracilipes11,07325.00 35.93 −0.179 19.78 19.29 0.012
Brachycybe lecontii11,01332.64 42.58 −0.132 12.24 12.49 −0.010
Asiomorpha coarctata11,01922.13 43.98 −0.331 24.20 9.69 0.428
Epanerchodus koreanus10,95923.76 50.11 −0.357 18.74 7.38 0.435
Appalachioria falcifera10,99817.46 45.63 −0.447 26.78 10.14 0.451
Xystodesmus sp. YD-201611,02822.92 42.69 −0.301 25.10 9.29 0.460
Sphaerotheriidae sp. HYS-201211,04930.12 40.07 −0.142 14.09 15.72 −0.055
Narceus annularus10,97427.03 35.12 −0.130 17.81 20.04 −0.059
Spirobolus bungii10,97724.53 32.22 −0.135 20.46 22.78 −0.054
Thyropygus sp. DVL-200110,99229.29 36.84 −0.114 15.45 18.41 −0.088
Chaleponcus netus11,01631.42 42.46 −0.149 13.04 13.08 −0.001
Prionopetalum kraepelini11,01330.67 39.23 −0.122 14.27 15.83 −0.052
Archispirostreptus gigas10,98328.38 36.61 −0.127 16.23 18.77 −0.073
Macrolenostreptus orestes11,01328.81 37.33 −0.129 15.01 18.85 −0.113
Pseudotibiozus cerasopus10,99831.90 38.89 −0.099 13.21 16.00 −0.096
Protein Tropostreptus austerus10,98327.95 36.76 −0.136 16.18 19.10 −0.083
codingTropostreptus droides11,01929.39 38.16 −0.130 14.76 17.68 −0.090
Tropostreptus hamatus11,04028.25 37.26 −0.137 15.74 18.75 −0.087
Tropostreptus kipunji10,99229.71 38.31 −0.126 14.47 17.51 −0.095
Tropostreptus microcephalus11,01029.50 38.27 −0.129 14.67 17.55 −0.089
Tropostreptus severus11,02228.88 37.16 −0.125 15.23 18.73 −0.103
Tropostreptus sigmatospinus11,00729.52 38.16 −0.128 14.76 17.56 −0.087
RibosomalAbacion magnum227231.69 38.69 −0.099 21.26 8.32 0.438
RNAGlomeridesmus sp. ITV8918171536.03 43.03 −0.088 14.87 6.06 0.421
Glomeridesmus spelaeus171535.28 42.74 −0.096 15.86 6.12 0.443
Anaulaciulus koreanus192439.35 36.07 0.043 14.45 10.14 0.175
Antrokoreana gracilipes208331.97 33.17 −0.018 19.68 15.17 0.129
Brachycybe lecontii211040.05 41.90 −0.023 11.90 6.02 0.328
Asiomorpha coarctata201633.13 36.21 −0.044 21.78 8.88 0.421
Epanerchodus koreanus208236.94 42.12 −0.066 15.18 5.76 0.450
Appalachioria falcifera202526.77 41.98 −0.221 23.01 8.25 0.472
Xystodesmus sp. YD-2016200733.13 36.07 −0.042 23.27 7.52 0.511
Sphaerotheriidae sp. HYS-2012209132.38 41.61 −0.125 18.99 7.03 0.460
Narceus annularus207532.14 36.58 −0.065 21.49 9.78 0.374
Thyropygus sp. DVL-2001204733.22 39.72 −0.089 17.78 9.28 0.314
Chaleponcus netus205937.30 39.58 −0.030 15.35 7.77 0.328
Prionopetalum kraepelini204836.04 39.50 −0.046 16.31 8.15 0.333
Archispirostreptus gigas205932.54 38.27 −0.081 18.99 10.20 0.301
Macrolenostreptus orestes204534.03 38.78 −0.065 17.85 9.29 0.315
Pseudotibiozus cerasopus207935.21 40.89 −0.075 16.07 7.84 0.344
Tropostreptus austerus209633.21 38.26 −0.071 18.56 9.97 0.301
Tropostreptus droides204933.43 39.39 −0.082 17.62 9.57 0.296
Tropostreptus hamatus203832.68 39.40 −0.093 18.25 9.67 0.308
Tropostreptus kipunji204833.64 39.94 −0.086 17.38 9.03 0.316
Tropostreptus microcephalus204933.38 39.53 −0.084 17.52 9.57 0.294
Tropostreptus severus204532.91 39.85 −0.095 18.00 9.24 0.321
Tropostreptus sigmatospinus204833.45 39.70 −0.085 17.58 9.28 0.309

References

  1. Wang, M.; Fu, S.; Xu, H.; Wang, M.; Shi, L. Ecological functions of millipedes in the terrestrial ecosystem. Biodivers. Sci. 2018, 26, 1051. [Google Scholar] [CrossRef]
  2. Kalisz, P.; Powell, J. Effect of calcareous road dust on land snails (Gastropoda: Pulmonata) and millipedes (Diplopoda) in acid forest soils of the Daniel Boone National Forest of Kentucky, USA. For. Ecol. Manag. 2003, 186, 177–183. [Google Scholar] [CrossRef]
  3. Topp, W.; Kappes, H.; Kulfan, J.; Zach, P. Distribution pattern of woodlice (Isopoda) and millipedes (Diplopoda) in four primeval forests of the Western Carpathians (Central Slovakia). Soil Biol. Biochem. 2006, 38, 43–50. [Google Scholar] [CrossRef]
  4. Means, J.C.; Francis, E.A.; Lane, A.A.; Marek, P.E. A general methodology for collecting and preserving xystodesmid and other large millipedes for biodiversity research. Biodivers. Data J. 2015, 3, e5665. [Google Scholar] [CrossRef]
  5. Brewer, M.S.; Sierwald, P.; Bond, J.E. Millipede taxonomy after 250 years: Classification and taxonomic practices in a mega-diverse yet understudied arthropod group. PLoS ONE 2012, 7, e37240. [Google Scholar]
  6. Hoffman, R.L.; Golovatch, S.I.; Adis, J.; De Morais, J.W. Diplopoda. In Amazonian Arachnida and Myriapoda: Identification Keys to All Classes, Orders, Families, Some Genera, and Lists of nown Terrestrial Species; Pensoft: Sofia, Bulgaria, 2002; pp. 505–533. [Google Scholar]
  7. Zhang, X.; Li, C.; Zhang, S. Study of the funcktion of millipedes in substance decomposition. Acta Ecol. Sin. 2001, 21, 75–79. [Google Scholar]
  8. Marek, P.E.; Bond, J.E. Phylogenetic systematics of the colorful, cyanide-producing millipedes of Appalachia (Polydesmida, Xystodesmidae, Apheloriini) using a total evidence Bayesian approach. Mol. Phylogenetics Evol. 2006, 41, 704–729. [Google Scholar] [CrossRef]
  9. Wesener, T.; Enghoff, H.; Wägele, J.W. Pachybolini–a tribe of giant Afrotropical millipedes: Arguments for monophyly and the description of a new genus from Madagascar (Diplopoda: Spirobolida: Pachybolidae). Invertebr. Syst. 2008, 22, 37–53. [Google Scholar] [CrossRef]
  10. Woo, H.J.; Lee, Y.S.; Park, S.J.; Lim, J.T.; Jang, K.H.; Choi, E.H.; Choi, Y.G.; Hwang, U.W. Complete mitochondrial genome of a Troglobite millipede Antrokoreana gracilipes (Diplopoda, Juliformia, Julida), and Juliformian phylogeny. Mol. Cells 2007, 23, 182–191. [Google Scholar]
  11. Anderson, S.; Bankier, A.T.; Barrell, B.G.; de Bruijn, M.H.; Coulson, A.R.; Drouin, J.; Eperon, I.C.; Nierlich, D.P.; Roe, B.A.; Sanger, F. Sequence and organization of the human mitochondrial genome. Nature 1981, 290, 457–465. [Google Scholar] [CrossRef]
  12. Boore, J.L. Animal mitochondrial genomes. Nucleic Acids Res. 1999, 27, 1767–1780. [Google Scholar] [CrossRef] [PubMed]
  13. Zuo, Q.; Zhang, Z.S.; Shen, Y.J. Novel mitochondrial gene rearrangements pattern in the millipede Polydesmus sp. GZCS-2019 and phylogenetic analysis of the Myriapoda. Ecol. Evol. 2022, 12, e8764. [Google Scholar] [CrossRef] [PubMed]
  14. Joo, S.; Lee, J.; Lee, D.Y.; Xi, H.; Park, J. The complete mitochondrial genome of the millipede Epanerchodus koreanus Verhoeff, 1937 collected in limestone cave of Korea (Polydesmidae: Polydesmida). Mitochondrial DNA Part B-Resour. 2020, 5, 3845–3847. [Google Scholar] [CrossRef] [PubMed]
  15. Nunes, G.L.; Oliveira, R.R.M.; Pires, E.S.; Pietrobon, T.; Prous, X.; Oliveira, G.; Vasconcelos, S. Complete mitochondrial genome of Glomeridesmus spelaeus (Diplopoda, Glomeridesmida), a troglobitic species from iron-ore caves in Eastern Amazon. Mitochondrial DNA Part B-Resour. 2020, 5, 3290–3291. [Google Scholar] [CrossRef] [PubMed]
  16. Woo, H.J.; Nguyen, A.D.; Jang, K.H.; Choi, E.H.; Ryu, S.H.; Hwang, U.W. The complete mitochondrial genome of the Korean endemic millipede Anaulaciulus koreanus (Verhoeff, 1937), with notes on the gene arrangement of millipede orders. Zootaxa 2017, 4329, 574–583. [Google Scholar] [CrossRef]
  17. Lavrov, D.V.; Boore, J.L.; Brown, W.M. Complete mtDNA sequences of two millipedes suggest a new model for mitochondrial gene rearrangements: Duplication and nonrandom loss. Mol. Biol. Evol. 2002, 19, 163–169. [Google Scholar] [CrossRef]
  18. Dong, Y.; Zhu, L.; Bai, Y.; Ou, Y.; Wang, C. Complete mitochondrial genomes of two flat-backed millipedes by next-generation sequencing (Diplopoda, Polydesmida). ZooKeys 2016, 637, 1–20. [Google Scholar] [CrossRef]
  19. 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. SPAdes: A new genome assembly algorithm and its applications to single-cell sequencing. J. Comput. Biol. 2012, 19, 455–477. [Google Scholar] [CrossRef]
  20. 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. Phylogenetics Evol. 2013, 69, 313–319. [Google Scholar] [CrossRef]
  21. Stothard, P.; Wishart, D.S. Circular genome visualization and exploration using CGView. Bioinformatics 2005, 21, 537–539. [Google Scholar] [CrossRef]
  22. Lowe, T.M.; Chan, P.P. tRNAscan-SE On-line: Integrating search and context for analysis of transfer RNA genes. Nucleic Acids Res. 2016, 44, W54–W57. [Google Scholar] [CrossRef] [PubMed]
  23. Perna, N.T.; Kocher, T.D. Patterns of nucleotide composition at fourfold degenerate sites of animal mitochondrial genomes. J. Mol. Evol. 1995, 41, 353–358. [Google Scholar] [CrossRef]
  24. Zhang, D.; Gao, F.; Jakovlić, I.; Zou, H.; Zhang, J.; Li, W.X.; Wang, G.T. PhyloSuite: An integrated and scalable desktop platform for streamlined molecular sequence data management and evolutionary phylogenetics studies. Mol. Ecol. Resour. 2020, 20, 348–355. [Google Scholar] [CrossRef]
  25. Katoh, K.; Standley, D.M. MAFFT multiple sequence alignment software version 7: Improvements in performance and usability. Mol. Biol. Evol. 2013, 30, 772–780. [Google Scholar] [CrossRef] [PubMed]
  26. Talavera, G.; Castresana, J. Improvement of phylogenies after removing divergent and ambiguously aligned blocks from protein sequence alignments. Syst. Biol. 2007, 56, 564–577. [Google Scholar] [CrossRef] [PubMed]
  27. Kalyaanamoorthy, S.; Minh, B.Q.; Wong, T.K.; Von Haeseler, A.; Jermiin, L.S. ModelFinder: Fast model selection for accurate phylogenetic estimates. Nat. Methods 2017, 14, 587–589. [Google Scholar] [CrossRef] [PubMed]
  28. Nguyen, L.T.; Schmidt, H.A.; Von Haeseler, A.; Minh, B.Q. IQ-TREE: A fast and effective stochastic algorithm for estimating maximum-likelihood phylogenies. Mol. Biol. Evol. 2015, 32, 268–274. [Google Scholar] [CrossRef] [PubMed]
  29. Minh, B.Q.; Nguyen, M.A.T.; Von Haeseler, A. Ultrafast approximation for phylogenetic bootstrap. Mol. Biol. Evol. 2013, 30, 1188–1195. [Google Scholar] [CrossRef]
  30. Guindon, S.; Dufayard, J.F.; Lefort, V.; Anisimova, M.; Hordijk, W.; Gascuel, O. New algorithms and methods to estimate maximum-likelihood phylogenies: Assessing the performance of PhyML 3.0. Syst. Biol. 2010, 59, 307–321. [Google Scholar] [CrossRef]
  31. Ronquist, F.; Teslenko, M.; Van Der Mark, P.; Ayres, D.L.; Darling, A.; Höhna, S.; Larget, B.; Liu, L.; Suchard, M.A.; Huelsenbeck, J.P. MrBayes 3.2: Efficient Bayesian phylogenetic inference and model choice across a large model space. Syst. Biol. 2012, 61, 539–542. [Google Scholar] [CrossRef]
  32. Brewer, M.S.; Swafford, L.; Spruill, C.L.; Bond, J.E. Arthropod phylogenetics in light of three novel millipede (Myriapoda: Diplopoda) mitochondrial genomes with comments on the appropriateness of mitochondrial genome sequence data for inferring deep level relationships. PLoS ONE 2013, 8, e68005. [Google Scholar]
  33. Yuan, M.L.; Zhang, Q.L. The complete mitochondrial genome of Gynaephora menyuanensis (Lepidoptera: Lymantriidae) from the Qinghai-Tibetan Plateau. Mitochondrial DNA 2013, 24, 328–330. [Google Scholar] [CrossRef] [PubMed]
  34. Zhang, K.J.; Liu, L.; Rong, X.; Zhang, G.H.; Liu, H.; Liu, Y.H. The complete mitochondrial genome of Bactrocera diaphora (Diptera: Tephtitidae). Mitochondrial DNA Part A 2016, 27, 4314–4315. [Google Scholar] [CrossRef] [PubMed]
  35. Zhu, K.; Gong, L.; Lü, Z.; Liu, L.; Jiang, L.; Liu, B. The complete mitochondrial genome of Chaetodon octofasciatus (Perciformes: Chaetodontidae) and phylogenetic studies of Percoidea. Mitochondrial DNA Part B 2018, 3, 531–532. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  36. Wang, Z.; Wang, Z.; Shi, X.; Wu, Q.; Tao, Y.; Guo, H.; Ji, C.; Bai, Y. Complete mitochondrial genome of Parasesarma affine (Brachyura: Sesarmidae): Gene rearrangements in Sesarmidae and phylogenetic analysis of the Brachyura. Int. J. Biol. Macromol. 2018, 118, 31–40. [Google Scholar] [CrossRef]
  37. Ge, X.-Y.; Liu, T.; Kang, Y.; Liu, H.-Y.; Yang, Y.-X. First complete mitochondrial genomes of Ototretinae (Coleoptera, Lampyridae) with evolutionary insights into the gene rearrangement. Genomics 2022, 114, 110305. [Google Scholar] [CrossRef]
Figure 1. Circular map of the mitogenome of S. bungii. The circle shows the gene map of S. bungii where genes outside the map are coded on the major strand (J-strand), and those on the inside of the map are coded on the minor strand (N-strand). Genes are represented by differently colored blocks.
Figure 1. Circular map of the mitogenome of S. bungii. The circle shows the gene map of S. bungii where genes outside the map are coded on the major strand (J-strand), and those on the inside of the map are coded on the minor strand (N-strand). Genes are represented by differently colored blocks.
Genes 13 01587 g001
Figure 2. AT-skew (circle) and GC-skew (triangle) of 27 species used in this study.
Figure 2. AT-skew (circle) and GC-skew (triangle) of 27 species used in this study.
Genes 13 01587 g002
Figure 3. Relative synonymous codon usage (A) and codon distribution (B) in S. bungii mitogenome.
Figure 3. Relative synonymous codon usage (A) and codon distribution (B) in S. bungii mitogenome.
Genes 13 01587 g003
Figure 4. Secondary structure of 22 tRNA genes from the S. bungii mitochondrial genome.
Figure 4. Secondary structure of 22 tRNA genes from the S. bungii mitochondrial genome.
Genes 13 01587 g004
Figure 5. Mitogenomic phylogeny of 26 Diplopoda species and an outgroup (Stylochyrus rarior) based on 13 PCGs using Bayesian inference (A) and maximum likelihood (B) methods. The same colors of species in the tree indicated the same order.
Figure 5. Mitogenomic phylogeny of 26 Diplopoda species and an outgroup (Stylochyrus rarior) based on 13 PCGs using Bayesian inference (A) and maximum likelihood (B) methods. The same colors of species in the tree indicated the same order.
Genes 13 01587 g005
Figure 6. Gene arrangement image of Diplopoda mitogenomes.
Figure 6. Gene arrangement image of Diplopoda mitogenomes.
Genes 13 01587 g006
Table 1. List of complete mitogenomes used in this study.
Table 1. List of complete mitogenomes used in this study.
ClassOrderFamilyGenusSpeciesAccession
DiplopodaCallipodidaCallipodidaeAbacionAbacion magnumNC_021932.1
GlomeridesmidaGlomeridesmidaeGlomeridesmusGlomeridesmus sp. ITV8918MG905160.1
Glomeridesmus spelaeusMG372113.1
JulidaJulidaeAnaulaciulusAnaulaciulus koreanusNC_034656.1
NemasomatidaeAntrokoreanaAntrokoreana gracilipesNC_010221.1
PlaytdesmidaAndrognathidaeBrachycybeBrachycybe lecontiiNC_021934.1
PolydesmidaParadoxosomatidaeAsiomorphaAsiomorpha coarctataKU721885.1
PolydesmidaeEpanerchodusEpanerchodus koreanusNC_051495.1
XystodesmidaeAppalachioriaAppalachioria falciferaNC_021933.1
XystodesmusXystodesmus sp. YD-2016KU721886.1
SphaerotheriidaSphaerotheriidaeN/ASphaerotheriidae sp. HYS-2012NC_018361.1
SpirobolidaSpirobolidaeNarceusNarceus annularusNC_003343.1
SpirobolusSpirobolus bungiiNC_056899.1
SpirostreptidaHarpagophoridaeThyropygusThyropygus sp. DVL-2001NC_003344.1
OdontopygidaeChaleponcusChaleponcus netusNC_062683.1
PrionopetalumPrionopetalum kraepeliniNC_062688.1
SpirostreptidaeArchispirostreptusArchispirostreptus gigasNC_062689.1
MacrolenostreptusMacrolenostreptus orestesNC_062682.1
PseudotibiozusPseudotibiozus cerasopusNC_062681.1
TropostreptusTropostreptus austerusNC_062687.1
Tropostreptus droidesNC_062686.1
Tropostreptus hamatusMT394521.1
Tropostreptus kipunjiMT394511.1
Tropostreptus microcephalusNC_062684.1
Tropostreptus severusNC_062685.1
Tropostreptus sigmatospinusMT394526.1
ArachnidaMesostigmataOlogamasidaeStylochyrusStylochyrus rariorCQ927176.2
Table 2. Mitogenomic organization of S. bungii.
Table 2. Mitogenomic organization of S. bungii.
GeneLocationSizeIntergenicCodonStand
NameFromTo(bp)NucleotidesStartStop
rrnS1281480311 J
trnV81587359 J
rrnL87421431270 J
trnL1216522276321 J
trnL22228229063 J
ND122913212922 ATATJ
trnP3213327563 J
ND4L327735582821ATGTAGJ
ND4355248931342−7ATGTJ
trnH4894495663 J
ND5495766581702 ATTTJ
trnF6659671961 J
trnY6716677762−4 J
trnQ67806847682 J
trnT688869486140 N
trnS69537016644 N
CYTB701781331117 ATGTN
ND681268581456−8ATTTAAN
trnE8582864261 N
trnS8643869957 N
trnN8700876263 N
trnR8762882362−1 N
trnA8823888462−1 N
ND388859230346 ATTTN
trnG9231929363 N
COX3929410,071778 ATGTN
ATP610,07210,747676 ATGTN
ATP810,74110,896156−7ATTTAAN
trnD10,89710,95862 N
trnK10,95811,02366−1 N
COX211,02411,701678 ATGTAAN
COX111,70513,23415303CGATAAN
trnC13,24013,302635 J
trnW13,29513,35662−8 N
ND213,35714,3561000 ATATN
trnM14,35714,41963 N
trnI14,42014,48364 N
Table 3. Composition and skewness in the mitochondrial genome of S. bungii.
Table 3. Composition and skewness in the mitochondrial genome of S. bungii.
RegionA%T%AT-SkewG%C%GG-Skew
Whole mitogenome26.6032.62−0.10228.4412.340.395
PCGs24.5332.22−0.13520.4622.78−0.054
rRNAs31.0235.12−0.06222.7711.100.345
tRNAs34.3330.690.05619.0515.930.089
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Xu, H.; Fang, Y.; Cao, G.; Shen, C.; Liu, H.; Ruan, H. The Complete Mitochondrial Genome of Spirobolus bungii (Diplopoda, Spirobolidae): The First Sequence for the Genus Spirobolus. Genes 2022, 13, 1587. https://doi.org/10.3390/genes13091587

AMA Style

Xu H, Fang Y, Cao G, Shen C, Liu H, Ruan H. The Complete Mitochondrial Genome of Spirobolus bungii (Diplopoda, Spirobolidae): The First Sequence for the Genus Spirobolus. Genes. 2022; 13(9):1587. https://doi.org/10.3390/genes13091587

Chicago/Turabian Style

Xu, Hanmei, Yu Fang, Guohua Cao, Caiqin Shen, Hongyi Liu, and Honghua Ruan. 2022. "The Complete Mitochondrial Genome of Spirobolus bungii (Diplopoda, Spirobolidae): The First Sequence for the Genus Spirobolus" Genes 13, no. 9: 1587. https://doi.org/10.3390/genes13091587

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop