Abstract
The mitochondrial genome (mitogenome) has been extensively used as molecular markers in determining the insect phylogenetic relationships. In order to resolve the relationships among tribes and subtribes of Satyrinae at the mitochondrial genomic level, we obtained the complete mitogenome of Aulocera merlina (Oberthür, 1890) (Lepidoptera: Nymphalidae: Satyrinae) with a size of 15,259 bp. The mitogenome consisted of 37 typical genes, including 13 protein‐coding genes (PCGs), 2 ribosomal RNA genes (rRNAs), 22 transfer RNA genes (tRNAs), and an A + T‐rich region. The gene organization and arrangement were similar to those of all other known Satyrinae mitogenomes. All PCGs were initiated with the canonical codon pattern ATN, except for the cox1 gene, which used an atypical CGA codon. Nine PCGs used the complete stop codon TAA, while the remaining PCGs (cox1, cox2, nad4, and nad5) were terminated with a single T nucleotide. The canonical cloverleaf secondary structures were found in all tRNAs, except for trnS1 which lacked a dihydrouridine arm. The 448 bp A + T‐rich region was located between rrnS and trnM, and it included the motif ATAGA followed by a 19‐bp poly‐T stretch and a microsatellite‐like (TA)6 element preceded by the ATTTA motif. The phylogenetic tree, inferred using Bayesian inference and maximum likelihood methods, generated similar tree topologies, revealing well‐supported monophyletic groups at the tribe level and recovering the relationship ((Satyrini + Melanitini) + ((Amathusiini + Elymniini) + Zetherini)). The close relationship between Satyrina and Melanargiina within the Satyrini was widely accepted. Additionally, Lethina, Parargina, and Mycalesina were closely related and collectively formed a sister group to Coenonymphina. Moreover, A. merlina was closely related to Oeneis buddha within the Satyrina. These findings will provide valuable information for future studies aiming to elucidate the phylogenetic relationships of Satyrinae.
Keywords: Aulocera merlina, Lepidoptera, mitochondrial genome, phylogeny, Satyrinae
In this paper, the complete mitochondrial genome sequence of an endemic species in China, Aulocera merlina (Lepidoptera: Nymphalidae: Satyrinae) was determined and compared with that of other known mitogenomes of Satyrinae species. Moreover, the phylogenetic trees were reconstructed based on the available mitogenome sequences, including the newly sequenced mitogenome, to gain a better understanding of the phylogenetic relationships among the major lineages of the Satyrinae.

1. INTRODUCTION
The Satyrinae, a subgroup within the Nymphalidae family, is known for its high diversity, comprising over 2500 species found across all continents except Antarctica (Ackery et al., 1999; Peña & Wahlberg, 2008). This diversity has made Satyrinae species popular model organisms in various research fields including ecology (Schmitt & Haubrich, 2008), developmental biology (Oliver et al., 2012), and conservation biology (Slamova et al., 2013). Therefore, it is crucial to accurately identify Satyrinae species and understand their evolutionary relationships for related studies. Currently, there are nine tribes and 16 subtribes defined within the Satyrinae (Marín et al., 2011). However, the phylogenetic relationships at both the tribe and subtribe levels are still not fully resolved (e.g., Chen et al., 2020; Dan et al., 2021; Marín et al., 2011; Peña et al., 2006; Peña & Wahlberg, 2008; Sun et al., 2021; Wahlberg et al., 2009; Wu et al., 2022; Yang et al., 2020; Yang & Zhang, 2015). Given the complexity of these relationships, it is essential to utilize mitochondrial genome (mitogenome) sequences of these species for taxonomic and phylogenetic analyses.
The insect mitogenome is a circular, double‐stranded molecule that encodes a highly conserved set of 37 genes. These genes include 13 protein‐coding genes (PCGs), 22 transfer RNA genes (tRNAs), and two ribosomal RNA genes (rRNAs, rrnL, and rrnS) (Boore, 1999; Cameron, 2014). Additionally, it typically contains an A + T‐rich region that includes essential regulatory elements for replication and transcription (Taanman, 1999). Mitogenomic sequences have been widely used as molecular markers in phylogenetic analysis, comparative genomics studies, and species identification due to unique features such as strict maternal inheritance, rapid mutation rate, and limited recombination (e.g., Avise, 2009; Cameron, 2014; Liu et al., 2023; Qin et al., 2019; Tyagi et al., 2020; Yan et al., 2023). Recent studies have also shown that the entire mitogenome can provide abundant information for resolving phylogenetic relationships within Lepidoptera at various hierarchical levels (Boore, 2006; Li et al., 2021; Qin et al., 2019; Wu et al., 2014, 2022). Therefore, it is important to study more taxa and mitogenomes to gain a better understanding of the internal relationships of Satyrinae.
Aulocera merlina (Oberthür, 1890), an endemic species in China, belongs to the subfamily Satyrinae and is mainly distributed in Sichuan, Yunnan, and other areas (Chou, 2000). Although this species is similar in appearance to A. padma, it is smaller in size. However, Aulocera has not been included in previous studies on the phylogeny of Satyrinae using mitogenome sequences. In this study, we determined the complete mitogenome of A. merlina and compared it with other known mitogenomes of Satyrinae species for the first time. Additionally, we reconstructed phylogenetic trees based on the available mitogenome sequences, including the newly sequenced mitogenome, to gain insight into the phylogenetic relationships among the major lineages of the Satyrinae.
2. MATERIALS AND METHODS
2.1. Sampling and DNA extraction
The adult individuals of A.merlina were collected from Lijiang City, Yunnan Province, P. R. China, in July 2016. They were identified based on morphological characteristics. After collection, the samples were immediately preserved in 95% ethanol and stored at −80°C under the Voucher number SMU‐20160726. Total genomic DNA was extracted from thorax muscle tissues of a single specimen using the Rapid Animal Genomic DNA Isolation Kit (Sangon Biotech, Shanghai, China). The extracted DNA was then used for 500‐bp library construction using the NEBNext Ultra DNA Library Prep Kit for Illumina sequencing.
2.2. Mitogenome sequencing and assembly
Sequencing was carried out on the Illumina NovaSeq 6000 platform (BIOZERON Co., Ltd., Shanghai, China). Approximately, 13841.3 Mb of raw data from A.merlina were generated with 150 bp paired‐end read lengths. De novo assembly with GetOrganelle v1.6.4 (Jin et al., 2020) referencing mitogenome of closely related species Minois dryas (GenBank accession number: NC_046591) (Shi et al., 2019) produced contigs of mitogenome. A number of potential mitochondrion reads were extracted from the pool of Illumina reads using BLAST searches against mitogenomes of related species M. dryas and the GetOrganelle result. The mitochondrion Illumina reads were obtained to perform mitogenome de novo assembly using the SPAdes−3.13.0 package (Nurk et al., 2017). The GetOrganelle assembly contig was optimized by the scaffolds from SPAdes‐3.13.0 result. Finally, the assembled sequence was reordered and oriented according to the reference mitogenome, thus generating the final assembled mitochondrion genomic sequence.
2.3. Mitogenome annotation and analyses
The mitogenome of A. merlina was annotated using the online MITOS tool (http://mitos.bioinf.uni‐leipzig.de/index.py) with default parameters (Bernt et al., 2013). Protein‐coding genes (PCGs) and rRNA genes were annotated by aligning them with the homologous sequence from M. dryas, based on the invertebrate mitochondrial genetic code. The Tandem Repeats Finder program (http://tandem.bu.edu/trf/trf.html) was utilized to predict the tandem repeats of the control region using the default parameters (Benson, 1999). The circular mitogenomic map was generated using the CGview server (http://stothard.afns.ualberta.ca/cgview_server/) (Grant & Stothard, 2008). Secondary structures for tRNAs were manually illustrated using Adobe Illustrator 2021 based on the MITOS predictions. The nucleotide composition and relative synonymous codon usage (RSCU) values were analyzed using MEGA 11.0 software (Tamura et al., 2021). The AT and GC asymmetry were represented by the values of AT‐skew and GC‐skew, calculated using the following formulas: AT‐skew = (A − T)/(A + T) and GC‐skew = (G − C)/(G + C) (Perna & Kocher, 1995). Nucleotide diversity and the ratio of nonsynonymous substitution (Ka) to synonymous substitution (Ks) for PCGs were calculated using DNASP 6.0 (Julio et al., 2017).
2.4. Phylogenetic analyses
Phylogenetic analyses were conducted based on the A. merlina and 63 other available and complete mitogenome sequences of Satyrinae species from GenBank. Two species, Polyura nepenthes (Charaxinae) and Calinaga davidis (Calinaginae), were selected as outgroups (Table 1). The 13 PCGs and two rRNAs were first aligned individually using MEGA 11.0 software (Tamura et al., 2021) and then concatenated using DAMBE7 (Xia, 2018) for phylogenetic analyses. The best model (GTR + I + G) for concatenated sequences, determined by the corrected Akaike Information Criterion using jModeltest 2.1.10 (Darriba et al., 2012), was selected. Maximum likelihood (ML) phylogenetic analysis was performed using IQ‐TREE software (Nguyen et al., 2015). Bootstrap support (BS) values were evaluated using 1000 ultrafast bootstrap replicates (Hoang et al., 2018). Bayesian inference (BI) analysis was performed using MrBayes 3.2 (Ronquist et al., 2012). Four simultaneous Markov chains were run for 20 million generations, and trees were sampled every 100 generations. A burn‐in of 25% was applied, and the remaining samples were used to generate a consensus tree and estimate the posterior probabilities (PP). The topologies of the phylogenetic trees were visualized using FigTree v1.4.2 (Rambaut, 2014).
TABLE 1.
List of taxa analyzed in this study together with relevant information.
| Subfamily | Tribe/subtribe | Species | Size (bp) | Accession number | Reference |
|---|---|---|---|---|---|
| Satyrinae (ingroup) | Satyrini/Lethina | Lethe chandica | 15,206 | MZ501804 | Yan et al. (2023) |
| Lethe verma | 15,239 | NC_050916 | Chen et al. (2020) | ||
| Lethe dura | 15,259 | KF906485 | Unpublished | ||
| Lethe uemurai | 15,272 | NC_050915 | Chen et al. (2020) | ||
| Lethe sicelis | 15,239 | LC541741 | Nagata et al. (2020) | ||
| Lethe titania | 15,257 | NC_050914 | Chen et al. (2020) | ||
| Lethe syrcis | 15,252 | NC_050913 | Chen et al. (2020) | ||
| Lethe satyrina | 15,271 | NC_050912 | Chen et al. (2020) | ||
| Lethe oculatissima | 15,243 | NC_050911 | Chen et al. (2020) | ||
| Lethe nigrifascia | 15,239 | NC_050910 | Chen et al. (2020) | ||
| Lethe marginalis | 15,229 | NC_050909 | Chen et al. (2020) | ||
| Lethe helle | 15,253 | NC_050908 | Chen et al. (2020) | ||
| Lethe hayashii | 15,246 | NC_050907 | Chen et al. (2020) | ||
| Lethe baucis | 15,251 | NC_050906 | Chen et al. (2020) | ||
| Lethe baileyi | 15,225 | NC_050905 | Chen et al. (2020) | ||
| Lethe albolineata | 15,248 | NC_028507 | Li et al. (2016) | ||
| Lethe confusa a | 14,945 | MT654529 | Unpublished | ||
| Ninguta schrenckii | 15,261 | KF881052 | Fan et al. (2016) | ||
| Neope goschkevitschii | 15,286 | LC541740 | Nagata et al. (2020) | ||
| Neope pulaha | 15,209 | KF590543 | Wu et al. (2014) | ||
| Neope muirheadii | 15,217 | MN242789 | Yang et al. (2020) | ||
| Satyrini/Ypthimina | Ypthima akragas | 15,227 | NC_024420 | Wu et al. (2014) | |
| Ypthima motschulskyi | 15,232 | MN242788 | Yang et al. (2020) | ||
| Ypthima baldus | 15,304 | NC_056106 | Li et al. (2020) | ||
| Argestina inconstans | 15,219 | NC_079673 | Unpublished | ||
| Argestina pomena | 15,226 | NC_070116 | Unpublished | ||
| Callerebia polyphemus | 15,156 | NC_058609 | Yan et al. (2023) | ||
| Callerebia suroia | 15,208 | KF906483 | Shi et al. (2016) | ||
| Satyrini/Mycalesina | Mycalesis intermedia | 15,386 | MN610565 | Wu et al. (2020) | |
| Mycalesis mineus | 15,267 | NC_025762 | Tang et al. (2014) | ||
| Mycalesis francisca | 15,279 | MN242790 | Yang et al. (2020) | ||
| Bicyclus anynana | 16,129 | OX359232 | Unpublished | ||
| Satyrini/Parargina | Lopinga achine | 15,284 | MT117843 | Wu et al. (2022) | |
| Pararge aegeria | 15,240 | KJ547676 | Teixeira da Costa (2016) | ||
| Lasiommata deidamia | 15,244 | MG880214 | Sun et al. (2021) | ||
| Lasiommata majuscula | 15,263 | MN012997 | Liu et al. (2020) | ||
| Lasiommata megera | 15,282 | OV743337 | Liu et al. (2020) | ||
| Satyrini/Coenonymphina | Coenonympha amaryllis | 15,125 | NC_046491 | Zhou, Yang, et al. (2020) | |
| Coenonympha tullia a | 15,316 | KM592972 | Unpublished | ||
| Triphysa phryne | 15,143 | NC_024551 | Zhang et al. (2016) | ||
| Satyrini/Satyrina | Aulocera merlina | 15,259 | NC_068667 | This study | |
| Davidina armandi | 15,214 | NC_028505 | Unpublished | ||
| Hipparchia autonoe | 15,435 | OK094488 | Dan et al. (2021) | ||
| Hipparchia semele | 15,223 | OW121739 | Unpublished | ||
| Minois dryas | 15,195 | NC_046591 | Shi et al. (2019) | ||
| Oeneis urda | 15,248 | NC_046889 | Zhou, Liang, et al. (2020) | ||
| Oeneis buddha | 15,259 | OK094489 | Dan et al. (2021) | ||
| Paroeneis palaearcticus | 15,942 | OK094490 | Dan et al. (2021) | ||
| Satyrini/Melanargiina | Melanargia asiatica | 15,142 | NC_024550 | Huang et al. (2016) | |
| Melanargia caoi | 15,469 | MN012999 | Liu et al. (2020) | ||
| Melanargia meridionalis | 15,442 | NC_067761 | Unpublished | ||
| Melanargia galathea | 15,367 | OV049880 | Vila et al. (2022) | ||
| Satyrini/Maniolina | Aphantopus hyperantus | 15,240 | KM592969 | Unpublished | |
| Maniola jurtina | 15,258 | HG995237 | Lohse and Weir (2021) | ||
| Satyrini/Erebiina | Erebia aethiops | 15,201 | OV281099 | Lohse and Lohse (2022) | |
| Erebia ligea | 15,196 | OU785248 | Lohse et al. (2022) | ||
| Melanitini | Melanitis phedima | 15,142 | KF590538 | Wu et al. (2014) | |
| Melanitis leda | 15,122 | JF905446 | Shi et al. (2013) | ||
| Amathusiini | Stichophthalma louisa | 15,721 | KP247523 | Unpublished | |
| Stichophthalma howqua a | 14,020 | KF990129 | Shi et al. (2015) | ||
| Stichophthalma camadeva | 15,257 | OQ942883 | Unpublished | ||
| Elymniini | Elymnias hypermnestra | 15,167 | KF906484 | Shi et al. (2015) | |
| Elymnias malelas | 15,161 | OQ942881 | Unpublished | ||
| Zetherini | Ethope himachala | 15,531 | NC_070168 | Unpublished | |
| Charaxinae (outgroup) | Charaxini | Polyura nepenthes | 15,333 | NC_026073 | Shi et al. (2015) |
| Calinaginae (outgroup) | – | Calinaga davidis | 15,267 | NC_015480 | Xia et al. (2011) |
Note: The specie with newly sequenced mitogenome was emphasized in bold.
The mitochondrial genome of the indicated species is incomplete.
3. RESULTS
3.1. Mitogenome organization
The complete mitogenome of A. merlina was a typical circular DNA molecule of 15,259 bp in size (GenBank accession number: NC_068667). It consisted of 37 genes, including 13 PCGs, 22 tRNAs, and 2 rRNAs, and an A + T‐rich region (Figure 1, Table 2). The gene order and arrangement of the newly determined mitogenome were similar to those of other butterflies. Among the genes, 23 genes (9 PCGs and 14 tRNAs) were located on the majority strand (J‐strand), while the remaining 14 genes (4 PCGs, 8 tRNAs, and 2 rRNAs) were transcribed on the minority strand (N‐strand). The nucleotide composition of A. merlina was significantly biased toward A + T, with a value of 79.9%. The nucleotide skewness statistics for the mitogenome showed slight T skews (−0.031) and moderate C skews (−0.224) (Table 3). The A. merlina mitogenome contained a total of 12 intergenic spacers, ranging in size from 1 to 53 bp, with a total length of 84 bp. The longest intergenic spacer region was located between the genes of nad2 and trnW. Additionally, there were 10 overlapping regions (29 bp in total) in the mitochondrion, ranging in length from 1 to 8 bp. The longest overlapping region was found between the trnC and trnY genes (Table 2).
FIGURE 1.

Circular maps of the Aulocera merlina mitogenome. Gene names on the outside of the circle indicated that these genes are located on the majority strand, whereas the others are located on the minority strand.
TABLE 2.
Characteristics of the Aulocera merlina mitogenome.
| Gene | Coding strand | Location | Size (bp) | Anticodon | Intergenic nucleotides | Start codon | Stop codon |
|---|---|---|---|---|---|---|---|
| trnM | J | 1–69 | 69 | CAU | – | – | – |
| trnI | J | 70–133 | 64 | GAU | 0 | – | – |
| trnQ | N | 131–199 | 69 | UUG | −3 | – | – |
| nad2 | J | 253–1266 | 1014 | – | 53 | ATT | TAA |
| trnW | J | 1265–1331 | 67 | UCA | −2 | – | – |
| trnC | N | 1324–1387 | 64 | GCA | −8 | – | – |
| trnY | N | 1388–1452 | 65 | GUA | 0 | – | – |
| cox1 | J | 1458–2988 | 1531 | – | 5 | CGA | T |
| trnL2 (UUR) | J | 2989–3055 | 67 | UAA | 0 | – | – |
| cox2 | J | 3056–3731 | 676 | – | 0 | ATG | T |
| trnK | J | 3732–3802 | 71 | CUU | 0 | – | – |
| trnD | J | 3804–3869 | 66 | GUC | 1 | – | – |
| atp8 | J | 3870–4034 | 165 | – | 0 | ATC | TAA |
| atp6 | J | 4028–4705 | 678 | – | −7 | ATG | TAA |
| cox3 | J | 4705–5493 | 789 | – | −1 | ATG | TAA |
| trnG | J | 5496–5562 | 67 | UCC | 2 | – | – |
| nad3 | J | 5563–5916 | 354 | – | 0 | ATT | TAA |
| trnA | J | 5916–5979 | 64 | UGC | −1 | – | – |
| trnR | J | 5981–6042 | 62 | UCG | 1 | – | – |
| trnN | J | 6045–6111 | 67 | GUU | 2 | – | – |
| trnS1 (AGN) | J | 6109–6168 | 60 | GCU | −3 | – | – |
| trnE | J | 6170–6235 | 66 | UUC | 1 | – | – |
| trnF | N | 6236–6301 | 66 | GAA | 0 | – | – |
| nad5 | N | 6302–8036 | 1735 | – | 0 | ATT | T |
| trnH | N | 8037–8100 | 64 | GUG | 0 | – | – |
| nad4 | N | 8101–9439 | 1339 | – | 0 | ATG | T |
| nad4l | N | 9439–9726 | 288 | – | −1 | ATA | TAA |
| trnT | J | 9732–9795 | 64 | GUG | 5 | – | – |
| trnP | N | 9796–9860 | 65 | UGG | 0 | – | – |
| nad6 | J | 9863–10,387 | 525 | – | 2 | ATT | TAA |
| cob | J | 10,387–11,538 | 1152 | – | −1 | ATG | TAA |
| trnS2 (UCN) | J | 11,545–11,609 | 65 | UGA | 6 | – | – |
| nad1 | N | 11,608–12,564 | 957 | – | −2 | ATG | TAA |
| trnL1 (CUN) | N | 12,566–12,632 | 67 | UAG | 1 | – | – |
| rrnL | N | 12,638–13,972 | 1335 | – | 5 | – | – |
| trnV | N | 13,973–14,037 | 65 | UAC | 0 | – | – |
| rrnS | N | 14,038–14,811 | 774 | – | 0 | – | – |
| A + T‐rich region | 14,812–15,259 | 448 | – | 0 |
Note: Strand of the genes is presented as J for majority and N for minority strand. In the column for intergenic length, a positive sign indicates the interval in base pairs between genes, while the negative sign indicates overlapping base pairs between genes.
TABLE 3.
Nucleotide composition and skewness of the Aulocera merlina mitogenome.
| Feature | Size (bp) | Nucleotide frequency (%) | AT‐Skew | GC‐Skew | |||||
|---|---|---|---|---|---|---|---|---|---|
| A | T | G | C | A + T | G + C | ||||
| Whole genome | 15,259 | 38.7 | 41.2 | 7.8 | 12.3 | 79.9 | 20.1 | −0.031 | −0.224 |
| Protein‐coding genes | 11,203 | 32.7 | 45.7 | 11.0 | 10.7 | 78.4 | 21.7 | −0.166 | 0.014 |
| 1st codon position | 3724 | 36.2 | 36.8 | 16.2 | 10.8 | 73.0 | 27.0 | −0.008 | 0.200 |
| 2nd codon position | 3724 | 21.6 | 48.7 | 13.5 | 16.2 | 70.3 | 29.7 | −0.385 | −0.091 |
| 3rd codon position | 3724 | 40.0 | 51.5 | 3.3 | 5.2 | 91.5 | 8.5 | −0.126 | −0.224 |
| tRNA genes | 1444 | 41.1 | 39.5 | 11.3 | 8.0 | 80.6 | 19.3 | 0.020 | 0.171 |
| rRNA genes | 2109 | 46.2 | 38.7 | 10.1 | 5.0 | 84.9 | 15.1 | 0.088 | 0.338 |
| A + T‐rich region | 448 | 45.1 | 46.9 | 4.0 | 4.0 | 92.0 | 8.0 | −0.020 | 0 |
3.2. Protein‐coding genes and codon usage
The length of the 13 PCGs in the A. merlina mitogenome ranged from 165 bp for atp8 to 1735 bp for nad5, totaling 11,203 bp. Among these PCGs, nine genes (cox1, cox2, cox3, atp6, atp8, nad2, nad3, nad6, and cob) were encoded by the majority strand, while the remaining four genes (nad1, nad4, nad4l, and nad5) were encoded by the minority strand (Figure 1, Table 2). All PCGs were initiated with the conventional ATN codons, except for cox1 which started with the atypical CGA codon. Nine out of the 13 PCGs ended with the typical stop codon (TAA), while the remaining PCGs (cox1, cox2, nad4, and nad5) concluded with an incomplete termination codon (T‐‐). The 13 PCGs also exhibited a significant bias toward A + T content (78.4%). Notably, the third codon positions had a considerably higher A + T content (91.5%) compared to the first (73.0%) and second positions (70.3%) (Table 3). The mitogenome of A. merlina encodes 3724 amino acids (excluding stop codons). The relative synonymous codon usage (RSCU) values for the 13 PCGs indicated that the five most frequently used codons in the mitogenome of A. merlina were UUA (L), UCU (S), GCU (A), CCU (P), and GGA (G) (Figure 2a). Leucine (L, Leu) was the most commonly encoded amino acid (12.7%), followed by isoleucine (I, Ile, 12.5%), phenylalanine (F, Phe, 10.1%), methionine (M, Met, 6.9%), and asparagine (N, Asn, 6.8%). On the other hand, cysteine (C, Cys) was the least common amino acid (1.0%) (Figure 2b).
FIGURE 2.

Codon usage of the Aulocera merlina mitogenome. Codon families are provided on the X‐axis. (a) Relative synonymous codon usage (RSCU). (b) Codon distribution.
To assess the variation patterns of the 13 PCGs of Satyrinae, nucleotide diversity was calculated through sliding window analysis for each PCG. The results revealed that cox2 was the most conserved (Pi = 0.103), while nad3 exhibited the highest variability (Pi = 0.162) (Figure 3a). The gene with the next highest nucleotide diversity after nad3 was nad6 (Pi = 0.159), followed by atp8 (Pi = 0.144), cox3 (Pi = 0.136), cob (Pi = 0.133), and nad4 (Pi = 0.132). Additionally, we calculated the values of Ka, Ks, and Ka/Ks for the 13 PCGs from 64 Satyrinae species. The results (Figure 3b) indicated that the Ka/Ks ratios were low and ranged from 0.043 (cox1) to 0.266 (atp8), suggesting that these genes underwent purifying selection (Meiklejohn et al., 2007). Consequently, the 13 PCGs are suitable for investigating phylogenetic relationships within the Satyrinae.
FIGURE 3.

Gene variation of 13 PCGs in Satyrinae. (a) The sliding window analysis shows the value of nucleotide diversity. (b) The Ka, Ks, and Ka/Ks of each PCG among Satyrinae representatives. Ka‐nonsynonymous substitution; Ks‐synonymous substitution.
3.3. Transfer and ribosomal RNA genes
The A. merlina mitogenome was found to contain 22 tRNA genes, ranging in size from 60 bp (trnS(AGN)) to 71 bp (trnK) (Table 2). Out of the 22 tRNA genes, 14 were located on the majority strand (trnA, trnE, trnD, trnG, trnK, trnI, trnL2, trnM, trnN, trnR, trnS1, trnS2, trnT, and trnW), while the remaining eight were embedded in the minority strand (trnQ, trnC, trnY, trnF, trnH, trnP, trnL1, and trnV) (Figure 1, Table 2). The total length of the 22 tRNAs was 1444 bp, and the A + T content was 80.6% with positive AT‐skew (0.020) and GC‐skew (0.171). All tRNA genes exhibited a typical cloverleaf secondary structure, except for trnS1, which lacks the dihydrouridine (DHU) stem arm (Figure 4). The A. merlina mitogenome also contained two rRNA genes, both of which were embedded in the minority strand. The larger ribosomal RNA (rrnL) was found between trnL1 and trnV, while the smaller ribosomal RNA (rrnS) was located between trnV and the A + T‐rich region (Figure 1, Table 2). The lengths of rrnL and rrnS were 1335 bp (A + T content 84.7%) and 774 bp (A + T content 85.2%), respectively (Table 3).
FIGURE 4.

Predicted secondary cloverleaf structures for the tRNAs of the Aulocera merlina.
3.4. A + T‐rich region
The A + T‐rich region of the A. merlina mitogenome spanned 448 bp and was situated between rrnS and trnM (Figure 1, Table 2). This region had the highest A + T content (92.0%) and a negative AT‐skew (−0.020) (Table 3), while the GC‐skew value was zero, indicating an equal proportion of G and C bases. The A + T‐rich region also contained conserved structures commonly found in lepidopteran mitogenomes, such as the ‘ATAGA’ motif followed by a 19 bp poly‐T stretch and a microsatellite‐like (TA)6 element preceded by the ‘ATTTA’ motif (Figure 5).
FIGURE 5.

The features of A + T‐rich region in the Aulocera merlina mitogenome.
3.5. Phylogenetic relationships
Phylogenetic analyses were conducted using concatenated nucleotide sequences of 13 PCGs and 2 rRNAs obtained from 64 known Satyrinae mitogenomes. P. nepenthes (Charaxinae) and C. davidis (Calinaginae) were used as outgroups (Table 1). Both the ML and BI methods yielded identical topologies in terms of tribal‐level relationships (Figures 6 and 7). The monophyly of Satyrini was well supported in both ML and BI analyses (BS = 100%, PP = 1.00). Moreover, Satyrini clustered with Melanitini as a sister group with strong support in the BI tree (PP = 0.96), but medium support in the ML tree (BS = 73%). Additionally, Amathusiini was identified as the sister group to Elymniini with a strong node support value (BS = 99%, PP = 1.00). The phylogenetic relationships among the five tribes of Satyrinae were found to be the same and arranged as follows: ((Satyrini + Melanitini) + ((Amathusiini + Elymniini) + Zetherini)). Within the Satyrini, except for Lethina, the subtribes Ypthima, Mycalesina, Parargina, Coenonymphina, Satyrina, Melanargiina, Maniolina, and Erebiina were monophyletic with strong support in our analyses. The relationships among the nine subtribes of Satyrini obtained from the ML and BI analyses were highly similar, although some differences exist. The BI tree showed that two well‐supported phylogenetic clades were identified from the nine sampled subtribes: clade I including Parargina, Mycalesina, Lethina, and Coenonymphina (PP = 0.99), and the remaining five subtribes constituting clade II (PP = 1.00). Furthermore, Ypthimina formed a monophyletic group with strong support (PP = 1.00) within clade II, and the phylogenetic relationships among the five subtribes recovered herein were ((Ypthimina + (Maniolina + Erebiina)) + (Satyrina + Melanargiina)) with strong support in the BI tree. The ML analysis indicated that the nine sampled subtribes of the Satyrini were also split into two clades as detected in our BI tree. However, most of the subtribe‐level relationships had weak support in the ML tree. The monophyly of the genus Lethe was well supported and was separated from Lethina in both ML and BI trees (BS = 98%, PP = 1.00). Furthermore, the ML analysis suggested that Ninguta schrenckii was clustered with three species of the genus Neope within Lethina, although with weak support (BS = 55%). However, in the BI analysis, N. schrenckii was positioned as the sister group to the grouping of the Parargina, Mycalesina, and the genus Lethe, but with weak support (PP = 0.36). Interestingly, both our ML and BI analyses indicated a close relationship between A. merlina and Oeneis buddha within the subtribe Satyrina, which was sister to Melanargiina with high values (BS = 100%, PP = 1.00).
FIGURE 6.

Phylogenetic tree inferred by Maximum likelihood method based on a concatenated matrix of 13 PCGs and 2 rRNAs. Bootstrap support values (BS) are shown at relevant branches.
FIGURE 7.

Phylogenetic tree inferred by Bayesian inference method based on a concatenated matrix of 13 PCGs and 2 rRNAs. Bayesian posterior probabilities (PP) are shown at relevant branches.
4. DISCUSSION
In this study, we reported the complete mitogenome of A. merlina for the first time. The newly sequenced mitogenome contained 37 genes and an A + T‐rich region, with the same gene content and arrangement as other published Satyrinae mitogenomes (e.g., Chen et al., 2020; Sun et al., 2021; Yang et al., 2020). The length of the A. merlina mitogenome (15,259 bp) was equal to that of Lethe dura and O. buddha (Dan et al., 2021). Meanwhile, this value fell within the range of the size for other Satyrinae mitogenomes, from 15,122 bp of Melanitis leda (Shi et al., 2013) to 16,129 bp of Bicyclus anynana. The nucleotide composition of the A. merlina mitogenome was rich in A + T (79.9%), with slightly negative AT‐skew (−0.031) and moderately negative GC‐skew (−0.224). Similar trends have been observed in other Satyrinae species, with AT‐skew ranging from −0.055 in Neope muirheadii (Yang et al., 2020) to −0.016 in Hipparchia autonoe (Dan et al., 2021) and the GC‐skew ranging from −0.271 in Stichophthalma louisa to −0.153 in Callerebia polyphemus (Figure 8). Overall, negative AT skews and GC skews are common in Satyrinae. Furthermore, we observed a 7 bp overlap (ATGATAA) between atp8 and atp6, which has been commonly found in other Lepidoptera species (Liu et al., 2018; Lu et al., 2018; Zhu et al., 2013). All PCGs were initiated by the typical ATN codon, except for cox1, which started with the unusual CGA codon, as seen in most other Satyrinae mitogenomes (Shi et al., 2019; Yang et al., 2020). Nine PCGs used TAA as the termination codon, while four PCGs (cox1, cox2, nad5, and nad4) terminated with an incomplete T codon. Incomplete termination codons of PCGs are commonly observed in Lepidoptera mitogenomes (Chen et al., 2020; Liu et al., 2018, 2023) and are converted into TAA by post‐transcriptional polyadenylation (Ojala et al., 1981). The canonical cloverleaf secondary structures were found in all tRNAs, except in trnS1, which lacked the DHU arm, as observed in other reported nymphalids (Wu et al., 2014; Yang et al., 2020). The A + T‐rich region displayed several structural characteristics commonly found in lepidopterans, such as the ATAGA motif followed by a 19 bp poly‐T stretch, and a microsatellite‐like (TA)6 element preceded by the ATTTA motif (Kim et al., 2014; Salvato et al., 2008).
FIGURE 8.

Scatter plot of AT and GC skews in the Satyrinae species.
To better understand their evolutionary relationships, we conducted a preliminary investigation using mitogenomic data. The phylogenetic relationships were reconstructed based on the concatenated nucleotide sequences of 13 PCGs and 2 rRNAs among five tribes (Satyrini, Melanitini, Amathusiini, Elymniini, and Zetherini) and nine subtribes (Lethina, Mycalesina, Parargina, Coenonymphina, Ypthima, Satyrina, Melanargiina, Maniolina, and Erebiina) within Satyrinae.
In our ML and BI analyses, the robust phylogenetic relationships among the four tribes were described as ((Satyrini + Melanitini) + ((Amathusiini + Elymniini) + Zetherini)). The close relationship between Amathusiini and Elymniini was consistent with previous mitogenomic studies (Sun et al., 2021; Wu et al., 2022; Yang et al., 2020) and the BI analysis of Peña and Wahlberg (2008). However, some studies regarded Elymniini as closer to Melanitini (Wahlberg et al., 2009; Yang & Zhang, 2015). Therefore, the tribe‐level relationships remain undefined and require further validation with a more extensive sampling of taxa.
Satyrini is the most species‐rich tribe in the Satyrinae, comprising approximately 2200 species in 13 subtribes (Marín et al., 2011). However, numerous challenges persist in resolving the systematics of Satyrini. The monophyly of Satyrini is strongly supported in the present study. Despite the limited taxon sampling within the diverse Satyrini, the Satyrina consistently appeared as a sister group to Melanargiina with strong support, which aligns with previous studies (Dan et al., 2021; Sun et al., 2021; Yang et al., 2020). Additionally, close relationships among three subtribes (Parargina, Lethina, and Mycalesina) received robust support, especially in our BI analysis, and the same pattern also recovered in previous mitogenomic studies (Dan et al., 2021; Sun et al., 2021; Wu et al., 2022; Yang et al., 2020) and multiple‐locus investigations (Peña & Wahlberg, 2008; Wahlberg et al., 2009; Yang & Zhang, 2015). Our phylogenetic results also confirmed the closer relationship between O. urda and Davidina, as previously reported (Dan et al., 2021; Lukhtanov & Dubatolov, 2020; Usami et al., 2021). Unfortunately, Lethina was not found to be a monophyletic group, and the genus Lethe was classified as an independent group in our phylogenetic analyses. Correspondingly, Neope and Ninguta were not placed as sister groups to Lethe, which contradicts previous findings (Chen et al., 2020; Dan et al., 2021; Peña et al., 2006). Furthermore, the placement of genus Ninguta varied across our ML and BI trees. It is important to note that this study only analyzed nine out of the 13 subtribes, which limits our ability to fully understand the phylogeny of Satyrini. Therefore, more comprehensive studies with increased sampling of mitogenome sequences are needed to improve our understanding of the evolutionary status and phylogenetic relationships of the entire Satyrini.
5. CONCLUSIONS
The complete mitogenome of an endemic species in China, A. merlina was determined and analyzed in this study. Phylogenetic trees were reconstructed using concatenated nucleotide sequences of 13 PCGs and 2 rRNAs from A. merlina and 63 other known Satyrinae mitogenomes. The ML and BI methods were employed, with P. nepenthes (Charaxinae) and C. davidis (Calinaginae) serving as outgroups. The gene organization and arrangement of the newly sequenced mitogenome were similar to those of other known Satyrinae mitogenomes. Both ML and BI methods produced similar topologies, supporting well‐defined monophyletic groups at the tribe level and recovering the relationship ((Satyrini + Melanitini) + ((Amathusiini + Elymniini) + Zetherini)). The close relationship between Satyrina and Melanargiina within the Satyrini was widely accepted. Additionally, Lethina, Parargina, and Mycalesina were closely related and collectively formed a sister group to Coenonymphina. Moreover, A. merlina was closely related to O. buddha within the Satyrina. These results provide valuable information for future studies on the phylogenetic relationships of Satyrinae in future studies.
AUTHOR CONTRIBUTIONS
Qinghui Shi: Conceptualization (equal); data curation (equal); funding acquisition (lead); methodology (equal); project administration (lead); software (equal); validation (equal); writing – original draft (equal); writing – review and editing (lead). Jinling Xie: Conceptualization (equal); data curation (equal); methodology (equal); software (equal); writing – original draft (equal). Jialing Wu: Conceptualization (equal); data curation (equal); methodology (equal); writing – review and editing (equal). Shengchung Chen: Methodology (equal); validation (equal); writing – review and editing (equal). Gang Sun: Methodology (equal); validation (equal); writing – review and editing (equal). Juncheng Zhang: Supervision (lead); validation (equal); writing – review and editing (supporting).
FUNDING INFORMATION
Natural Science Foundation of Fujian Province, Grant/Award Number: 2021J011121; Provincial Training Program of Innovation and Entrepreneurship for Undergraduates, Grant/Award Number: S202311311075.
CONFLICT OF INTEREST STATEMENT
The authors declare no conflict of interest.
ACKNOWLEDGMENTS
This work was supported by the Natural Science Foundation of Fujian Province (Grant no. 2021J011121) and the Provincial Training Program of Innovation and Entrepreneurship for Undergraduates (Grant no. S202311311075).
Shi, Q. , Xie, J. , Wu, J. , Chen, S. , Sun, G. , & Zhang, J. (2024). Characterization of the complete mitochondrial genome of an endemic species in China, Aulocera merlina (Lepidoptera: Nymphalidae: Satyrinae) and phylogenetic analysis within Satyrinae. Ecology and Evolution, 14, e11355. 10.1002/ece3.11355
DATA AVAILABILITY STATEMENT
The mitogenome sequence of Aulocera merlina has been deposited on GenBank, and assigned accession number (NC_068667) is provided.
REFERENCES
- Ackery, P. R. , De Jong, R. , & Vane‐Wright, R. I. (1999). The butterflies: Hedyloidea, Hesperioidea, and Papilionoidea. In Kristensen N. P. (Ed.), Lepidoptera: Moths and butterflies. 1. Evolution, systematics, and biogeography. Handbook of zoology. (Vol. IV, Part 35, pp. 263−299). De Gruyter. [Google Scholar]
- Avise, J. C. (2009). Phylogeography: Retrospect and prospect. Journal of Biogeography, 36, 3–15. [Google Scholar]
- Benson, G. (1999). Tandem repeats finder: A program to analyze DNA sequences. Nucleic Acids Research, 27(2), 573–580. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Bernt, M. , Donath, A. , Jühling, F. , Externbrink, F. , Florentz, C. , Fritzsch, G. , Pütz, J. , Middendorf, M. , & Stadler, P. F. (2013). MITOS: Improved de novo metazoan mitochondrial genome annotation. Molecular Phylogenetics and Evolution, 69(2), 313–319. [DOI] [PubMed] [Google Scholar]
- Boore, J. L. (1999). Animal mitochondrial genomes. Nucleic Acids Research, 27(8), 1767–1780. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Boore, J. L. (2006). The use of genome‐level characters for phylogenetic reconstruction. Trends in Ecology & Evolution, 21, 439–446. [DOI] [PubMed] [Google Scholar]
- Cameron, S. L. (2014). Insect mitochondrial genomics: Implications for evolution and phylogeny. Annual Review of Entomology, 59, 95–117. [DOI] [PubMed] [Google Scholar]
- Chen, L. , Wahlberg, N. , Liao, C. Q. , Wang, C. B. , Ma, F. Z. , & Huang, G. H. (2020). Fourteen complete mitochondrial genomes of butterflies from the genus Lethe (Lepidoptera, Nymphalidae, Satyrinae) with mitogenome‐based phylogenetic analysis. Genomics, 112(6), 4435–4441. [DOI] [PubMed] [Google Scholar]
- Chou, I. (2000). Monograph of Chinese butterflies (revised edition) (two volumes). Henan Scientific and Technological Publishing House. [Google Scholar]
- Dan, Z. C. , Duan, L. , Chen, Z. N. , Guan, D. L. , & Xu, S. Q. (2021). Mitogenomes of three satyrid butterfly species (Nymphalidae: Lepidoptera) and reconstructed phylogeny of Satyrinae. Diversity, 13, 468. [Google Scholar]
- Darriba, D. , Taboada, G. L. , Doallo, R. , & Posada, D. (2012). jModelTest 2: More models, new heuristics and parallel computing. Nature Methods, 9(8), 772. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Fan, C. , Xu, C. , Li, J. L. , Lei, Y. , Gao, Y. , Xu, C. R. , & Wang, R. J. (2016). Complete mitochondrial genome of a satyrid butterfly, Ninguta schrenkii (Lepidoptera: Nymphalidae). Mitochondrial DNA Part A DNA Mapping, Sequencing, and Analysis, 27(1), 80–81. [DOI] [PubMed] [Google Scholar]
- Grant, J. R. , & Stothard, P. (2008). The CGView server: A comparative genomics tool for circular genomes. Nucleic Acids Research, 36, W181–W184. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Hoang, D. T. , Chernomor, O. , von Haeseler, A. , Minh, B. Q. , & Vinh, L. S. (2018). UFBoot2: Improving the ultrafast bootstrap approximation. Molecular Biology and Evolution, 35, 518–522. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Huang, D. Y. , Hao, J. S. , Zhang, W. , Su, T. J. , Wang, Y. , & Xu, X. F. (2016). The complete mitochondrial genome of Melanargia asiatica (Lepidoptera: Nymphalidae: Satyrinae). Mitochondrial DNA Part A DNA Mapping, Sequencing, and Analysis, 27(2), 806–808. [DOI] [PubMed] [Google Scholar]
- Jin, J. J. , Yu, W. B. , Yang, J. B. , Song, Y. , dePamphilis, C. W. , Yi, T. S. , & Li, D. Z. (2020). GetOrganelle: A fast and versatile toolkit for accurate de novo assembly of organelle genomes. Genome Biology, 21(1), 241. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Julio, R. , Albert, F. M. , Juan, C. S. D. , Sara, G. R. , Pablo, L. , Sebastián, E. R. O. , & Alejandro, S. G. (2017). DnaSP v6: DNA sequence polymorphism analysis of large datasets. Molecular Biology and Evolution, 34, 3299–3302. [DOI] [PubMed] [Google Scholar]
- Kim, M. J. , Wang, A. R. , Park, J. S. , & Kim, I. (2014). Complete mitochondrial genomes of five skippers (Lepidoptera: Hesperiidae) and phylogenetic reconstruction of Lepidoptera. Gene, 549(1), 97–112. [DOI] [PubMed] [Google Scholar]
- Li, X. D. , Hu, H. W. , Zhang, S. L. , Wang, J. W. , & Li, R. (2020). Characterization of the complete mitochondrial genome of Ypthima baldus (Lepidoptera: Satyrinae) with phylogenetic analysis. Mitochondrial DNA Part B Resources, 5(1), 1019–1020. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Li, J. , Lv, Q. , Zhang, X. M. , Han, H. L. , & Zhang, A. B. (2021). Characterization and phylogenetic analysis of the complete mitochondrial genome of Laelia suffusa (Lepidoptera: Erebidae, Lymantriinae). Journal of Insect Science, 21(1), 5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Li, J. L. , Xu, C. , Lei, Y. , Fan, C. , Gao, Y. , Xu, C. R. , & Wang, R. J. (2016). Complete mitochondrial genome of a satyrid butterfly, Lethe albolineata (Lepidoptera: Nymphalidae). Mitochondrial DNA Part A DNA Mapping, Sequencing, and Analysis, 27(6), 4195–4196. [DOI] [PubMed] [Google Scholar]
- Liu, G. C. , Chang, Z. , Chen, L. , He, J. W. , Dong, Z. W. , Yang, J. , Lu, S. H. , Zhao, R. P. , Wan, W. T. , Ma, G. L. , Li, J. , Zhang, R. , Wang, W. , & Li, X. Y. (2020). Genome size variation in butterflies (Insecta, Lepidoptera, Papilionoidea): a thorough phylogenetic comparison. Systematic Entomology, 45(3), 571–582. [Google Scholar]
- Liu, N. Y. , Li, N. , Yang, P. Y. , Sun, C. Q. , Fang, J. , & Wang, S. Y. (2018). The complete mitochondrial genome of Damora sagana and phylogenetic analyses of the family Nymphalidae. Genes & Genomics, 40, 109–122. [DOI] [PubMed] [Google Scholar]
- Liu, N. , Wang, H. , Fang, L. , & Zhang, Y. (2023). Mitogenome of the Doleschallia bisaltide and phylogenetic analysis of Nymphalinae (Lepidoptera, Nymphalidae). Diversity, 15, 558. [Google Scholar]
- Lohse, K. , Hayward, A. , Laetsch, D. R. , Vila, R. , & Lucek, K. (2022). The genome sequence of the Arran brown, Erebia ligea (Linnaeus, 1758). Wellcome Open Research, 7, 259. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Lohse, O. , & Lohse, K. (2022). The genome sequence of the scotch argus butterfly, Erebia aethiops (Esper, 1777). Wellcome Open Research, 7, 217. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Lohse, K. , & Weir, J. (2021). The genome sequence of the meadow brown, Maniola jurtina (Linnaeus, 1758). Wellcome Open Research, 6, 296. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Lu, Y. X. , Liu, N. Y. , Xu, L. X. , Fang, J. , & Wang, S. Y. (2018). The complete mitochondrial genome of Vanessa indica and phylogenetic analyses of the family Nymphalidae. Genes & Genomics, 40, 1011–1022. [DOI] [PubMed] [Google Scholar]
- Lukhtanov, V. A. , & Dubatolov, V. V. (2020). Phylogenetic position and taxonomic rearrangement of Davidina (Lepidoptera: Nymphalidae), an enigmatic butterfly genus new for Europe and America. Zoological Journal of the Linnean Society, 190, 1036–1053. [Google Scholar]
- Marín, M. A. , Peña, C. , Freitas, A. V. L. , Wahlberg, N. , & Uribe, S. I. (2011). From the phylogeny of the Satyrinae butterflies to the systematics of Euptychiina (Lepidoptera: Nymphalidae): History, progress and prospects. Neotropical Entomology, 40(1), 1–13. [DOI] [PubMed] [Google Scholar]
- Meiklejohn, C. D. , Montooth, K. L. , & Rand, D. M. (2007). Positive and negative selection on the mitochondrial genome. Trends in Genetics, 23(6), 259–263. [DOI] [PubMed] [Google Scholar]
- Nagata, N. , Tsujimura, I. , & Sato, A. (2020). The complete mitochondrial genomes of two Japanese endemic Satyrinae butterflies, Neope goschkevitschii and Lethe sicelis (Lepidoptera, Nymphalidae). Mitochondrial DNA Part B Resources, 5(3), 2243–2245. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Nguyen, L. T. , Schmidt, H. A. , Von Haeseler, A. , & Minh, B. Q. (2015). IQ‐TREE: A fast and effective stochastic algorithm for estimating maximum‐likelihood phylogenies. Molecular Biology and Evolution, 32(1), 268–274. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Nurk, S. , Meleshko, D. , Korobeynikov, A. , & Pevzner, A. (2017). metaSPAdes: A new versatile metagenomic assembler. Genome Research, 27(5), 824–834. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ojala, D. , Montoya, J. , & Attardi, G. (1981). tRNA punctuation model of RNA processing in human mitochondria. Nature, 290, 470–474. [DOI] [PubMed] [Google Scholar]
- Oliver, J. C. , Tong, X. L. , Gall, L. F. , Piel, W. H. , & Monteiro, A. (2012). A single origin for nymphalid butterfly eyespots followed by widespread loss of associated gene expression. PLoS Genetics, 8(8), e1002893. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Peña, C. , & Wahlberg, N. (2008). Prehistorical climate change increased diversification of a group of butterflies. Biology Letters, 4(3), 274–278. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Peña, C. , Wahlberg, N. , Weingartner, E. , Kodandaramaiah, U. , & Brower, A. V. Z. (2006). Higher level phylogeny of Satyrinae butterflies (Lepidoptera: Nymphalidae) based on DNA sequence data. Molecular Phylogenetics and Evolution, 40, 29–49. [DOI] [PubMed] [Google Scholar]
- Perna, N. T. , & Kocher, T. D. (1995). Patterns of nucleotide composition at fourfold degenerate sites of animal mitochondrial genomes. Journal of Molecular Evolution, 41, 353–358. [DOI] [PubMed] [Google Scholar]
- Qin, J. , Li, J. , Gao, Q. , Wilson, J. J. , & Zhang, A. B. (2019). Mitochondrial phylogeny and comparative mitogenomics of closely related pine moth pests (Lepidoptera: Dendrolimus). PeerJ, 7, e7317. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Rambaut, A. (2014). FigTree 1.4.2 software. Institute of Evolutionary Biology, University of Edinburgh. [Google Scholar]
- 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. (2012). MrBayes 3.2: Efficient Bayesian phylogenetic inference and model choice across a large model space. Systematic Biology, 61(3), 539–542. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Salvato, P. , Simonato, M. , Battisti, A. , & Negrisolo, E. (2008). The complete mitochondrial genome of the bag‐shelter moth Ochrogaster lunifer (Lepidoptera, Notodontidae). BMC Genomics, 9, 331. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Schmitt, T. , & Haubrich, K. (2008). The genetic structure of the mountain forest butterfly Erebia euryale unravels the late Pleistocene and postglacial history of the mountain coniferous forest biome in Europe. Molecular Ecology, 17(9), 2194–2207. [DOI] [PubMed] [Google Scholar]
- Shi, Q. H. , Lin, X. Q. , Ye, X. , Xing, J. H. , & Dong, G. W. (2019). Characterization of the complete mitochondrial genome of Minois dryas (Lepidoptera: Nymphalidae: Satyrinae) with phylogenetic analysis. Mitochondrial DNA Part B Resources, 4(1), 1447–1449. [Google Scholar]
- Shi, Q. H. , Sun, X. Y. , Wang, Y. L. , Hao, J. S. , & Yang, Q. (2015). Morphological characters are compatible with mitogenomic data in resolving the phylogeny of nymphalid butterflies (Lepidoptera: Papilionidea: Nymphalidae). PLoS One, 10(4), e0124349. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Shi, Q. H. , Zhang, W. , & Hao, J. S. (2016). The complete mitochondrial genome of Callerebia suroia (Lepidoptera: Nymphalidae: Satyrinae). Mitochondrial DNA Part A DNA Mapping, Sequencing, and Analysis, 27(2), 1463–1465. [DOI] [PubMed] [Google Scholar]
- Shi, Q. H. , Zhao, F. , Hao, J. S. , & Yang, Q. (2013). Complete mitochondrial genome of the Common Evening Brown, Melanitis leda Linnaeus (Lepidoptera: Nymphalidae: Satyrinae). Mitochondrial DNA, 24(5), 492–494. [DOI] [PubMed] [Google Scholar]
- Slamova, I. , Klecka, J. , & Konvicka, M. (2013). Woodland and grassland mosaic from a butterfly perspective: Habitat use by Erebia aethiops (Lepidoptera: Satyridae). Insect Conservation and Diversity, 6(3), 243–254. [Google Scholar]
- Sun, Y. X. , Chen, C. , Geng, X. X. , & Li, J. (2021). Complete mitochondrial genome of Lasiommata deidamia and its phylogenetic implication to subfamily Satyrinae (Lepidoptera: Nymphalidae). Mitochondrial DNA Part B Resources, 6(10), 2943–2945. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Taanman, J. W. (1999). The mitochondrial genome: Structure, transcription, translation and replication. Biochimica et Biophysica Acta, 1410(2), 103–123. [DOI] [PubMed] [Google Scholar]
- Tamura, K. , Stecher, G. , & Kumar, S. (2021). MEGA11: Molecular evolutionary genetics analysis version 11. Molecular Biology and Evolution, 38(7), 3022–3027. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Tang, M. , Tan, M. H. , Meng, G. L. , Yang, S. Z. , & Zhou, X. (2014). Multiplex sequencing of pooled mitochondrial genomes‐a crucial step toward biodiversity analysis using mito‐metagenomics. Nucleic Acids Research, 42(22), e166. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Teixeira da Costa, L. F. (2016). The complete mitochondrial genome of Parage aegeria (Insecta: Lepidoptera: Papilionidae). Mitochondrial DNA Part A DNA Mapping, Sequencing, and Analysis, 27(1), 551–552. [DOI] [PubMed] [Google Scholar]
- Tyagi, K. , Chakraborty, R. , Cameron, S. L. , Sweet, A. D. , Chandra, K. , & Kumar, V. (2020). Rearrangement and evolution of mitochondrial genomes in Thysanoptera (Insecta). Scientific Reports, 10, 695. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Usami, S. I. , Isaka, Y. , Nishio, S. Y. , Nakatani, T. , & Itoh, T. (2021). Phylogeny and biogeography of arctic‐alpine butterflies of the genus Oeneis (Nymphalidae: Satyrinae). Entomological Science, 24, 183–195. [Google Scholar]
- Vila, R. , Lohse, K. , Hayward, A. , & Laetsch, D. (2022). The genome sequence of the marbled white butterfly, Melanargia galathea (Linnaeus, 1758). Wellcome Open Research, 7, 123. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Wahlberg, N. , Leneveu, J. , Kodandaramaiah, U. , Peña, C. , Nylin, S. , Freitas, A. V. L. , & Brower, A. V. Z. (2009). Nymphalid butterflies diversify following near demise at the Cretaceous/Tertiary boundary. Proceedings of the Royal Society B: Biological Sciences, 276, 4295–4302. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Wu, J. L. , Bao, T. T. , Sun, G. , Xiao, Y. , Fang, Y. , & Shi, Q. H. (2022). Complete mitochondrial genome of the Woodland Brown, Lopinga achine Scopoli, 1763 (Nymphalidae: Satyrinae) and its phylogenetic analysis. Mitochondrial DNA Part B Resources, 7(5), 747–749. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Wu, L. W. , Lin, L. H. , Lees, D. C. , & Hsu, Y. F. (2014). Mitogenomic sequences effectively recover relationships within brush‐footed butterflies (Lepidoptera: Nymphalidae). BMC Genomics, 15(1), 468. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Wu, Y. P. , Lu, J. J. , Yang, J. , Wang, J. P. , Cao, T. W. , & Fan, R. J. (2020). Complete mitochondrial genome of Mycalesis intermedia (Lepidoptera: Nymphalidae). Mitochondrial DNA Part B Resources, 5(1), 703–704. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Xia, X. H. (2018). DAMBE7: New and improved tools for data analysis in molecular biology and evolution. Molecular Biology and Evolution, 35, 1550–1552. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Xia, J. , Hu, J. , Zhu, G. P. , Zhu, C. D. , & Hao, J. S. (2011). Sequence and analysis of the complete mitochondrial genome of Calinaga davidis Oberthü (Lepidoptera: Nymphalidae). Acta Entomologica Sinica, 54(5), 555–565. [Google Scholar]
- Yan, Z. T. , Fan, Z. H. , He, S. L. , Wang, X. Q. , Chen, B. , & Luo, S. T. (2023). Mitogenomes of eight Nymphalidae butterfly species and reconstructed phylogeny of Nymphalidae (Nymphalidae: Lepidoptera). Genes, 14, 1018. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Yang, M. S. , Song, L. , Zhou, L. , Shi, Y. X. , Song, N. , & Zhang, Y. L. (2020). Mitochondrial genomes of four satyrine butterflies and phylogenetic relationships of the family Nymphalidae (Lepidoptera: Papilionoidea). International Journal of Biological Macromolecules, 145, 272–281. [DOI] [PubMed] [Google Scholar]
- Yang, M. S. , & Zhang, Y. L. (2015). Phylogenetic utility of ribosomal genes for reconstructing the phylogeny of five Chinese satyrine tribes (Lepidoptera: Nymphalidae). ZooKeys, 488, 105–120. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Zhang, W. , Gan, S. S. , Zuo, N. , Chen, C. H. , Wang, Y. , & Hao, J. S. (2016). The complete mitochondrial genome of Triphysa phryne (Lepidoptera: Nymphalidae: Satyrinae). Mitochondrial DNA Part A DNA Mapping, Sequencing, and Analysis, 27(1), 474–475. [DOI] [PubMed] [Google Scholar]
- Zhou, Y. , Liang, Z. Y. , Wang, S. Q. , Zhong, H. H. , Wang, N. , & Liang, B. (2020). A mitogenomic phylogeny of satyrid butterflies and complete mitochondrial genome of Oeneis urda (Lepidoptera: Nymphalidae: Satyrinae). Mitochondrial DNA Part B Resources, 5(2), 1344–1345. [Google Scholar]
- Zhou, L. , Yang, C. , Zhai, Q. , & Zhang, Y. L. (2020). The complete mitochondrial genome sequence of Coenonympha amaryllis and monophyly of Satyrinae (Lepidoptera: Nymphalidae). Mitochondrial DNA Part B Resources, 5(2), 1223–1224. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Zhu, B. J. , Liu, Q. N. , Dai, L. S. , Wang, L. , Sun, Y. , Lin, K. Z. , Wei, G. Q. , & Liu, C. L. (2013). Characterization of the complete mitochondrial genome of Diaphania pyloalis (Lepidoptera: Pyralididae). Gene, 527, 283–291. [DOI] [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 mitogenome sequence of Aulocera merlina has been deposited on GenBank, and assigned accession number (NC_068667) is provided.
