Research Article
Print
Research Article
Mitogenomic insights into the speciation and evolutionary history of the stag beetle genus Hexarthrius (Coleoptera: Lucanidae)
expand article infoXu-Hong-Yi Zheng, Yong Qin§, Zhi-Teng Chen|
‡ Nanjing normal university, Nanjing, China
§ China Sports Space Enterprise Management Limited, Beijing, China
| Jiangsu University of Science and Technology, Zhenjiang, China
Open Access

Abstract

The genus Hexarthrius Hope, 1842, a prominent member of the family Lucanidae, is widely distributed across southern Asia and includes some of the largest stag beetle species in the world. This study presents the first mitogenomic phylogeny for Hexarthrius and its related genera, using complete mitogenomes from all recognized Hexarthrius species and representatives of all known related genera; 23 mitogenomes are reported here for the first time. We identified two novel mitochondrial gene rearrangements in Hexarthrius and its relative genus Rhaetulus Westwood, 1871, with implications for mitogenome evolution in Lucanidae. Phylogenetic inference and molecular dating recover Hexarthrius as monophyletic and subdivided into two well-supported clades: a Himalayan clade and a Tropical clade, which diverged approximately 8.9 million years ago. Rhaetus Parry, 1864 is inferred as the sister group to Hexarthrius, whereas Rhaetulus occupies a basal position within the larger Hexarthrius clade. Ancestral-area and morphological reconstructions indicate a complex history of vicariance and dispersal associated with uplift of the Hengduan–Himalayan region and subsequent island isolations. These results clarify species relationships, biogeography, and morphological evolution within this emblematic beetle lineage.

Key words

gene rearrangement, historical biogeography, mitochondrial genome, molecular phylogeny

1. Introduction

Hexarthrius Hope, 1842 is one of the most intriguing genera of Lucanidae found in China and parts of Southeast Asia (Fujita 2010). Characterized by its distinctive and varied mandibles, this genus includes some of the largest stag beetles in the world, with Hexarthrius mandibularis Deyrolle, 1881 reaching lengths of up to 119.5 mm (Fujita 2010). Their striking appearance makes these beetles highly desirable among collectors, playing a vital role in the global insect trade as ornamental specimens (Kawakami 2023). Currently, 14 valid species are recognized within Hexarthrius (Table 1). Additionally, two controversial species, Hexarthrius andreasi Schenk, 2003 and Hexarthrius kirchneri Schenk, 2003, are suspected to be natural hybrids, although their parent species remain unidentified (Bomans and Benoit 2007; Fujita 2010; Kawakami 2023).

Table 1.

Species and subspecies of genus Hexarthrius.

Species/Subspecies Distribution
Hexarthrius mandibularis Deyrolle, 1881 Borneo
Hexarthrius howdeni de Lisle, 1972 Philippines
Hexarthrius parryi parryi Hope, 1842 India
Hexarthrius parryi paradoxus Möllenkamp, 1898 Indonesia, Malaysia
Hexarthrius parryi elongatus Jordan, 1894 Borneo
Hexarthrius parryi deyrollei Parry, 1864 China, Cambodia, Laos, Myanmar, Thailand
Hexarthrius sanuchi Fukinuki, 2004 Cambodia
Hexarthrius buquetti (Hope, 1843) Indonesia
Hexarthrius nigritus Lacroix, 1990 Thailand
Hexarthrius rhinoceros rhinoceros (Olivier, 1789) Indonesia
Hexarthrius rhinoceros chaudoiri Deyrolle, 1864 Indonesia
Hexarthrius rhinoceros hansi Schenk, 2005 Indonesia
Hexarthrius aduncus aduncus Jordan, 1894 China, India
Hexarthrius aduncus igarashiae Fujita, 2010 China, Myanmar
Hexarthrius vitalisi vitalisi Didier, 1925 China, Vietnam
Hexarthrius vitalisi tsukamotoi Nagai, 1998 China
Hexarthrius vitalisi miyashitai Baba, 1998 Laos, Myanmar, Vietnam
Hexarthrius vitalisi cottoni Baba, 1998 Laos, Thailand
Hexarthrius davisoni Waterhouse, 1888 India
Hexarthrius bowringi bowringi Parry, 1862 Bhutan, India
Hexarthrius bowringi baminorum Okuda & Maeda, 2016 China, India
Hexarthrius melchioritis Séguy, 1954 China, Myanmar
Hexarthrius mniszechi (Thomson, 1857) India
Hexarthrius forsteri forsteri (Hope, 1840) India
Hexarthrius forsteri kiyotamii Nagai, 2000 Myanmar
Hexarthrius forsteri nyishi Okuda & Maeda, 2016 China

Previous research (Huang and Chen 2013; Kim and Farrell 2015; Jing et al. 2018) suggests that Hexarthrius may form a monophyletic clade alongside Pseudorhaetus Planet, 1899, Weinreichius Lacroix, 1978 (often synonymized with Pseudorhaetus in some studies), Rhaetulus Westwood, 1871, Rhaetus Parry, 1864, and Yumikoi Arnaud and Miyashita, 2006. Initially, Hexarthrius was classified within the tribe Lucanini Latreille, 1804 by Benesh (1960) and later by Maes (1992). However, this classification has faced scrutiny from various phylogenetic studies based on morphological and molecular data (Huang and Chen 2013; Kim and Farrell 2015). Huang and Chen (2013) proposed that Hexarthrius belongs to the Dorcini Parry, 1864 with Hexarthrius, Pseudorhaetus, Rhaetulus, and Rhaetus forming a distinct clade, although the interrelationships among these genera remain ambiguous. This assertion is further supported by molecular phylogenetic analyses conducted by Kim and Farrell (2015), which included Yumikoi and Weinreichius in this clade, despite the absence of Rhaetus in their dataset. Additionally, Jing et al. (2018) suggested that Hexarthrius is more closely related to Rhaetus than to Pseudorhaetus.

Despite these advancements, there remains a significant gap in comprehensive research on Hexarthrius, as prior analyses have often lacked sufficient representation of species within the genus or its related genera. Consequently, several critical issues regarding the genus persist, including uncertainties about its phylogeny and morphological evolution, biogeographical patterns, species relationships, the status of disputed species, reported hybrids, and the differentiation among species and subspecies.

In recent years, mitochondrial genomes (mitogenomes) have emerged as essential tools for investigating molecular phylogeny, biogeography, and evolutionary biology across diverse taxa. This approach offers numerous advantages, including a low recombination rate, rapid evolutionary rate, maternal inheritance, the absence of introns, and straightforward processing (Krzywinski et al. 2011; Yuan et al. 2016; Jing et al. 2018). To address the aforementioned questions, we sequenced 18 complete mitogenomes representing all 14 valid species of Hexarthrius, including two subspecies each of H. parryi, H. aduncus, H. vitalisi, and H. forsteri. The two contentious taxa, H. andreasi and H. kirchneri, were excluded from sequencing because multiple studies have identified them as wild hybrids (Kawakami 2023). In addition, five mitogenomes were newly sequenced from all genera closely related to Hexarthrius, with those of Weinreichius, Yumikoi, and Rhaetulus sequenced for the first time. By integrating comprehensive mitogenomic data with morphological comparisons and biogeographic reconstructions, this study aims to reconstruct a robust phylogeny for Hexarthrius and its allied genera, clarify the historical biogeography underlying its diversification, and trace major trends in morphological evolution.

2. Material and methods

2.1. Sample collection, identification and DNA extraction

Morphological identification primarily followed the criteria in Fujita (2010) and Kawakami (2023). Specimens of H. davisoni, H. nigritus, H. sanuchi, H. howdeni, H. forsteri, H. mniszechi, H. bowringi, Weinreichius perroti Lacroix, 1978 and Yumikoi makii Arnaud and Miyashita, 2006 were derived from the second to fifth generations of artificial breeding, while the remaining specimens were collected from wild populations between 2020 and 2023 near their respective type localities. We confirm that the specimens used in this study were obtained ethically following all applicable international and local permitting requirements.

The specimens analyzed in this study were dried and preserved in the insect collection of Nanjing Normal University, Nanjing, China. Genomic DNA was extracted from the prothoracic muscle tissue of each species using the TIANamp Genomic DNA Kit (TIANGEN, Beijing, China). DNA concentrations were measured using a Nanodrop 2000 spectrophotometer.

2.2. Mitogenome sequencing and assembly

All species’ genomic DNA was sequenced utilizing next-generation sequencing (NGS) on the Illumina NovaSeq platform. Each sample’s library was prepared using the TruSeq™ DNA Sample Prep Kit (insert size 400 bp), and all libraries were sequenced in PE150 mode (paired-end, 2 × 150 bp). Approximately 4 GB of raw data were generated for each sample. The raw data underwent quality filtering with Fastp (Chen et al. 2018). MitoZ was used for the assembly of mitogenomes (Meng et al. 2019), with the kmers-megahit = 79, 99, 119, 141. To verify the accuracy of NGS sequencing results, COI gene fragments of all samples were sequenced using Sanger sequencing with a pair of universal primers (LCO1490 as a forward primer, 5’-GGTCAACAAATCATAAAGATATTGG-3’; HCO2198 as a reverse primer, 5’-TAAACTTCAGGGTGACCAAAAAATCA-3’) (Folmer et al. 1994). The r-Taq polymerase (Takara, Beijing, China) was used for the polymerase chain reaction (PCR) based on the method of Yanai et al. (2017).

2.3. Mitogenome annotation and analysis

The annotation of mitogenomes was performed using the MITOS WebServer (Bernt et al. 2013) and MitoZ (Meng et al. 2019). These annotations were subsequently verified through alignments with available Hexarthrius sequences from GenBank, utilizing ClustalW within MEGA v11 (Tamura et al. 2021). The secondary structures of tRNAs were analyzed using tRNAscanSE v2.0 (Lowe and Chan 2016) in conjunction with the MITOS WebServer. Circular maps of the mitogenomes were generated using the visualization module of MitoZ (Meng et al. 2019).

The nucleotide composition was computed using MEGA v11, while the AT-skew and GC-skew were derived from the formulas: AT-skew = (A–T)/(A+T) and GC-skew = (G–C)/(G+C) (Perna and Kocher 1995). A sliding window analysis with a window size of 200 bp and a step size of 20 bp was conducted to estimate nucleotide diversity (Pi) across the 13 protein-coding genes (PCGs) using DnaSP v6 (Rozas et al. 2017). Genetic distances of COI genes are frequently utilized for insect species identification (Cox et al. 2013; Zheng et al. 2022), which were calculated based on the Kimura 2-parameter model (Kimura 1980) using MEGA v11. The ratio of nonsynonymous to synonymous rates (Ka/Ks) for the 13 PCGs was also determined using DnaSP v6.

2.4. Phylogenetic analysis

A total of 28 mitogenomes from eight genera were included in the phylogenetic reconstruction, comprising 18 sequences from 14 Hexarthrius and 9 sequences from six related genera (Huang and Chen 2013; Kim and Farrell 2015). The mitogenome of Dorcus hopei (Saunders, 1854) served as the outgroup (Table S1). Of the 28 mitogenomes analyzed, 23 were sequenced in this study, while the remaining five were sourced from GenBank (Table S1).

The nucleotide sequences of the 13 PCGs were aligned with MAFFT L-INS-i strategy (Katoh and Standley 2013) in PhyloSuite v1.2.2 (Zhang et al. 2020). Ambiguous alignment sites were removed with Gblocks v0.91b (Talavera and Castresana 2007). Individual genes were then concatenated within PhyloSuite v1.2.2. Two datasets were created for phylogenetic reconstruction: (1) a PCGs matrix including all codon positions of the 13 PCGs, and (2) a PR matrix comprising the 13 PCGs and two rRNA genes. Phylogenetic reconstructions were performed using Bayesian Inference (BI) and Maximum Likelihood (ML) methods based on both datasets. The optimal partitioning model for each dataset was selected via ModelFinder using Bayesian Information Criterion (BIC) and Akaike Information Criterion corrected (AICc) (Kalyaanamoorthy et al. 2017). BI trees were constructed using MrBayes v3.2.6 through the online CIPRES Science Gateway (Miller et al. 2011; Ronquist et al. 2012), with settings for two parallel runs of four Markov chains over 10 million generations (sampling every 1,000 generations), discarding 25% as burn-in. ML analyses were conducted with RAxML v8.2.0, employing the GTRGAMMAI model and 1,000 bootstrap replicates (Stamatakis 2014). Phylogenetic trees were edited using FigTree v1.4.2 (http://tree.bio.ed.ac.uk/software/figtree).

2.5. Divergence time estimation

Divergence times among species were estimated using BEAST v2.6.3 (Bouckaert et al. 2014), applying the PCG matrix and BI phylogenetic topology derived from previous analyses. In BEAUti, the same partitioning and site models established in the phylogenetic analysis were utilized. The root of the tree was calibrated at the divergence point between D. hopei and the other species, following the findings of Kim and Farrell (2015). The molecular dating indicated a root divergence time of 62.4 Ma and a split between Hexarthrius and Prosopocoilus Hope & Westwood, 1845 at 40.2 Ma, based on fossil evidence and prior phylogenetic analyses (Kim and Farrell 2015). A birth-death tree prior and a fixed substitution rate of 0.0115 (corresponding to an arthropod mitochondrial molecular clock of 2.3% per million years) (Brower 1994) were implemented. Two independent MCMC runs were executed, each consisting of 200 million generations with sampling every 1,000 generations. Tracer v1.5 (Drummond and Rambaut 2007) was employed to examine posterior estimates and ensure that the effective sample size (ESS) exceeded 200 for critical parameters. The tree files from both runs were combined using LogCombiner v1.5.3, with the first 10% of generations discarded as burn-in. Based on the combined tree file, TreeAnnotator v1.5.3 (Drummond and Rambaut 2007) was used to calculate the consensus tree and annotate divergence times. The final topology was visualized and refined using FigTree v1.4.4.

2.6. Ancestral area reconstruction

Ancestral area reconstruction was conducted using RASP (Reconstruct Ancestral State in Phylogenies) v4.0 (Yu et al. 2020) with the BioGeoBEARS package (Matzke 2014). Each Hexarthrius species was considered endemic, given their narrow and allopatric distributions. Six areas of endemism were defined: (A) the Western Ghats of South India, represented by H. davisoni; (B) a triangular region defined by the eastern half of the Himalayas to the north, the Hengduan Mountains of China to the east, and the Myanmar Shan Plateau to the west, encompassing seven Hexarthrius species (H. parryi, H. forsteri, H. vitalisi, H. melchioritis, H. mniszechi, H. aduncus, and H. bowringi); (C) the eastern region of area B, comprising southern China and northern Indo-China (north of 15° N), which includes H. parryi and H. vitalisi; (D) the southern part of the Indo-China Peninsula (south of 15° N), the Malay Peninsula, and the islands of Sumatra and Java, featuring six species (H. parryi, H. sanuchi, H. nigritus, H. buquetti, H. rhinoceros, and H. mandibularis); (E) Borneo, with two species, H. parryi and H. mandibularis; and (F) Mindanao and Luzon Islands of the Philippines, represented by H. howdeni. The specific distributions of ingroup species were inputted, and the BI-PCG tree topology from earlier analyses was applied in the reconstruction. The DIVALIKE model was identified as the most suitable, with a maximum limit of six ancestral areas.

2.7. Ancestral reconstruction of morphology

Ancestral state reconstruction (ASR) was performed for eight morphologically significant characters: (1) male clypeolabrum; (2) granulation on the male mandible; (3) basal teeth of the male mandible; (4) denticles between the male mandibular base and major tooth; (5) male antennal club; (6) male dorsal head protuberance; (7) male elytra coloration; and (8) female head structure. These reconstructions were mapped onto the BI tree derived from the PCG matrix, employing parsimony methods in Mesquite v3.81 (Maddison and Maddison 2023). Character histories were traced utilizing unordered state transformations.

3. Results

3.1. Genome composition and base content

The 18 complete mitogenomes of Hexarthrius range from 17,435 bp in H. mandibularis to 19,176 bp in H. rhinoceros rhinoceros (Figs 1A–F, S1–S3). Among the Hexarthrius clade, which includes Hexarthrius and five related genera (Rhaetulus, Pseudorhaetus, Weinreichius, Yumikoi, and Rhaetus), Rhaetulus crenatus rubrifemoratus Nagai, 2000 possesses the largest mitogenome (19,236 bp) (Fig. 1C). Twenty-one of the 23 new mitogenomes exhibit the ancestral insect mitochondrial organization of 13 PCGs, 22 tRNAs, two rRNAs and one control region, with 23 genes encoded on the J-strand and 14 on the N-strand. Two previously unknown gene rearrangements were identified: an extra trnS (UGA) in H. mandibularis and a complex trnI-NCR-trnQ-NCR-trnQ-NCR-trnM cluster in R. crenatus rubrifemoratus (Fig. 1A, C).

Figure 1. 

Mitochondrial maps of six species showing differences in gene order. A Hexarthrius mandibularis; B Hexarthrius howdeni; C Rhaetulus crenatus; D Yumikoi makii; E Weinreichius perroti; F Prosopocoilus spectabilis.

The A+T content of the Hexarthrius clade mitogenomes varies from 65.5% in H. mandibularis to 69.5% in R. crenatus, with H. mandibularis and H. howdeni showing relatively reduced A+T bias (Fig. S4A). The 23 new mitogenomes displayed either positive AT-skews and negative GC-skews, or the reverse. Closely related subspecies exhibited similar base compositions, except H. parryi deyrollei Parry, 1864 and H. parryi paradoxus Möllenkamp, 1898, which differed in AT-skew direction.

3.2. Evolution of PCGs

The 13 PCGs showed the ratio of non-synonymous (Ka) to synonymous (Ks) substitution rates (Ka/Ks) ranging from 0.015 (COI) to 0.180 (ATP8), confirming strong purifying selection across all genes (Fig. S4B). COI was the most conservative gene, showing utility for species identification. Nucleotide diversity (Pi) varied from 0.116 (ND1) to 0.195 (ND6), with ND6 showing the highest variability (Fig. S4C).

We calculated the genetic distances of the complete COI genes from 28 mitogenomes (Supporting Information, Table S2). Within Hexarthrius, pairwise distances varied from 0.005 (H. nigritusH. sanuchi) to 0.176 (H. forsteri kiyotamiiH. buquetti), averaging 0.139 (Supporting Information, Table S2). The unusually low value between H. nigritus and H. sanuchi and the high intersubspecific divergence (0.102) between H. vitalisi vitalisi Didier, 1925 and H. vitalisi tsukamotoi Nagai, 1998 warrant taxonomic reassessment.

3.3. Phylogenetic relationship

Both BI and ML analyses based on both datasets (PCGs and PR) generated congruent topologies with strong support for the monophyly of Hexarthrius (Fig. 2). Two well-supported clades were recovered (Figs 3, 4): a Himalayan clade (H. forsteri, H. vitalisi, H. melchioritis, H. mniszechi, H. aduncus, H. bowringi) and a Tropical clade (H. davisoni, H. parryi, H. sanuchi, H. nigritus, H. buquetti, H. rhinoceros, H. mandibularis, H. howdeni).

Figure 2. 

Phylogenetic relationships of Hexarthrius clade constructed by BI and ML methods based on 13 mitogenomic PCGs. Bootstrap values and Posterior probability on nodes are separated by a slash. Red branches represent groups with special mitogenomic structures or gene rearrangements. Inferred intermediate processes of the novel rearrangement of Rhaetulus crenatus are indicated in left grey box.

Figure 3. 

Distribution of Hexarthrius species and subspecies. The two problematic species H. andreasi and H. kirchneri were excluded.

Figure 4. 

Biogeographic reconstruction and divergence times of the Hexarthrius clade.

Rhaetulus formed the earliest branch within a larger “Hexarthrius clade”, comprising Rhaetulus + ((Pseudorhaetus + (Weinreichius+Yumikoi)) + (Rhaetus+Hexarthrius)). Prosopocoilus was supported as the sister group to this clade (Fig. 2).

3.4. Biogeography of Hexarthrius

Ancestral area reconstruction indicated that the ancestral range of Hexarthrius+Rhaetus was centered in the eastern Himalayas and Hengduan Mountains of China (Endemism B) (Figs 3, 4). This region also represents the ancestral range for the broader clade comprising (Hexarthrius+Rhaetus) and (Pseudorhaetus + (Weinreichius+Yumikoi)), as well as all nodes within the Himalayan clade (Fig. 4). In contrast, Endemism D was inferred as the ancestral area for Pseudorhaetus, Weinreichius, Yumikoi, and most members of the Tropical clade, except for H. mandibularis and H. howdeni, whose ancestral range was estimated as D+F (Fig. 4).

Across the Hexarthrius clade, BioGeoBEARS identified five vicariance, eight dispersal, and one extinction event (the latter at the divergence of H. davisoni and its sister group) (Fig. 4).

3.5. Divergence time estimation

Divergence between the Himalayan and Tropical clades was dated to approximately 8.9 million years ago (Ma) (95% highest posterior density [HPD]: 3.50–19.30 Ma) (Fig. 4). Within the Himalayan clade, H. forsteri diverged first (~5.23 Ma; 95% HPD: 1.28–12.62 Ma), followed by H. vitalisi (~3.64 Ma; 95% HPD: 1.09–7.52 Ma). The H. melchioritis + H. mniszechi and H. aduncus + H. bowringi clades separated around 2.48 Ma (95% HPD: 0.68–5.77 Ma).

In the Tropical clade, H. davisoni diverged earliest (~5.23 Ma; 95% HPD: 1.92–11.47 Ma). The H. mandibularis + H. howdeni clade split around 3.47 Ma (95% HPD: 1.09–6.81 Ma), while the H. parryi + (H. sanuchi + H. nigritus) and H. buquetti + H. rhinoceros clades diverged at ~2.56 Ma (95% HPD: 0.64–5.25 Ma).

The Hexarthrius clade diverged from Prosopocoilus approximately 39.67 Ma (95% HPD: 33.55–45.93 Ma). Within the Hexarthrius clade, Rhaetulus branched off at ~27.53 Ma (95% HPD: 19.74–37.05 Ma); Pseudorhaetus diverged from the (Weinreichius+Yumikoi) clade at ~7.77 Ma (95% HPD: 0.72–19.22 Ma); Weinreichius and Yumikoi separated around 1.05 Ma (95% HPD: 0.11–5.83 Ma). The sister taxa Rhaetus and Hexarthrius diverged around 23.77 Ma (95% HPD: 18.66–28.78 Ma).

4. Discussion

4.1. Implications of gene rearrangements

Prior to this study, gene rearrangements in Lucanidae were sparsely reported, with only one known case of the translocation of trnL (UUR) into the control region in Sinodendron yunnanense Král, 1994 (Lin et al. 2017). Our findings expand that limited record by revealing two previously undescribed rearrangements in Lucanidae: an extra copy of trnS (UGA) inserted in the control region of H. mandibularis and a complex trnI-NCR-trnQ-NCR-trnQ-NCR-trnM cluster in R. crenatus rubrifemoratus (Fig. 1A, C). Gene rearrangements of this type are uncommon in Coleoptera (Timmermans and Vogler 2012; Li et al. 2016; Lin et al. 2017; Jeong et al. 2020; Ge et al. 2022; Yang et al. 2023) and the duplications reported here are unique among beetles.

Among the major models proposed for mitochondrial gene rearrangements, i.e., recombination, tandem replication with non-random loss (TDNL), illicit priming by tRNAs, and tandem duplication-random loss (TDRL), the TDRL mechanism best fits the patterns observed in R. crenatus rubrifemoratus (Yang et al. 2023). The presence of NCR between trnI and trnQ in Prosopocoilus (noted previously as synapomorphic for that genus) and Rhaetulus and its absence in other genera further suggests a sequence of duplication and differential loss across the clade (Kim and Farrell 2015). Our phylogenetic analysis confirmed Prosopocoilus as the sister group to the Hexarthrius clade and Rhaetulus as the earliest offshoot within this clade, which aligns with the scenario of TDRL (Fig. 2). We therefore propose that an ancestral insertion of an NCR between trnI and trnQ preceded subsequent lineage-specific TDRL events: retention of a simplified trnI–NCR–trnQ arrangement in Prosopocoilus, triplication of an NCR–trnQ block followed by partial loss in the ancestor of Rhaetulus (yielding the observed trnI–NCR–trnQ–NCR–trnQ–NCR–trnM cluster), and independent loss of redundant NCRs/trnQ copies in the remaining genera, ultimately restoring the canonical trnI–trnQ–trnM order in many lineages (Fig. 2). This sequence of events explains both the distribution of NCRs in the group and the phylogenetic placement of genera recovered by our mitogenomic analyses.

4.2. Biogeographical history of Hexarthrius

An integrated reading of the phylogeny, divergence times and ancestral-area reconstructions indicates that the core Hexarthrius lineage and its close relatives originated in the eastern Himalaya–Hengduan region (Endemism B). We infer that the early divergence of Rhaetulus from the remainder of the clade was driven largely by vicariance associated with the complex topography of the Hengduan–Himalayan orogen; uplift and attendant habitat fragmentation would have promoted long-term isolation between north-south faunal elements (Xing and Ree 2017) (Fig. 4). The split between the (Pseudorhaetus + (Weinreichius+Yumikoi)) assemblage from the (Hexarthrius+Rhaetus) lineage is best interpreted as an initial dispersal event across the mountain complex followed by vicariance between eastern and western slopes.

Within Hexarthrius itself, the phylogeny resolves a Himalayan clade that remained largely restricted to montane areas and a Tropical clade that expanded southward into Indochina and Sundaland. The divergence between these clades (~8.9 Ma) and subsequent species-level splits (late Miocene–Pleistocene) coincide with episodes of regional orogeny and climatic change that alternately connected and fragmented forest habitats. We infer a pattern in which ancestral populations dispersed from the Himalayan–Hengduan core into lower-elevation corridors, with some lineages colonizing southern India and Sundaland; local extinctions in the ancestral area (Endemism B) and repeated Pleistocene sea-level fluctuations then promoted insular isolation and rapid differentiation in the Tropical clade (Hanebuth et al. 2011; He et al. 2023). The distribution of H. howdeni (Philippines) and its sister taxon H. mandibularis (Borneo) is consistent with cross-sea dispersal and subsequent island isolation; the present geological configuration of the Philippines predates these species’ divergence, indicating that vicariance through recent tectonics is unlikely to be the sole driver of their separation (Morrison 2014) (Fig. 4). Overall, our results support a two-phase scenario of mountain-origin Vicariance followed by lowland/insular dispersal and island-driven speciation.

4.3. Morphological evolution of Hexarthrius

Our phylogenetic results provide a framework to interpret the evolution of adult morphology in Hexarthrius (Figs S5, S6). Morphological distinctions between males of the Himalayan and Tropical clades are notable, including: (1) mandibular granules are small or absent in the Himalayan clade but enlarged in the Tropical clade (except in H. davisoni); (2) denticle number along the inner mandibular margin is usually < 5 in the Himalayan clade and > 5 in the Tropical clade (excluding H. davisoni, H. howdeni, and H. forsteri); and (3) the clypeolabrum is strongly protruding in the Tropical clade but smooth in the Himalayan clade (with exceptions in H. mandibularis and H. howdeni). However, these characters frequently conflict with phylogenetic relationships. For example, H. davisoni, although belonging to the Tropical clade, resembles Himalayan species in mandible shape and denticle patterns, and H. aduncus is difficult to distinguish morphologically from H. vitalisi, despite being sister to H. bowringi, a lineage whose mandibular and cephalic morphology differs substantially (Figs 3, S5, S6).

The evolution of antennal club segmentation also reflects phylogenetic history. A five-segmented antennal club is inferred as the ancestral state (Figs S5, S6). The unique development of a sixth segment in H. forsteri, caused by dense setation on the basal segment, represents an autapomorphy. Expansion of the antennal club is known to evolve independently in other lucanid genera (e.g., Prosopocoilus) and appears unrelated to phylogenetic structure within Hexarthrius.

Mandibular dentition provides additional insight (Figs S5, S6). The ancestral state for the genus consists of two distinct basal teeth (one dorsal and one ventral). This morphology is retained in Rhaetulus, Pseudorhaetus, Rhaetus, and in H. forsteri and H. parryi + (H. sanuchi + H. nigritus). In other lineages, the distal basal tooth has been modified. In the lineage comprising (H. aduncus + H. bowringi) + (H. melchioritis + H. mniszechi) + H. vitalisi, the teeth evolved into a single, medially directed large tooth, sometimes bifurcated. In H. melchioritis and H. mniszechi, subsequent reduction led to the presence or absence of only a ventral tooth. In the Tropical clade, H. davisoni independently evolved a similar medially pointed tooth, whereas other Tropical clade species exhibit a continuous row of small denticles replacing the dorsal tooth.

The denticles between the basal teeth and the main tooth represent another primitive character shared across Hexarthrius and related genera (Figs S5, S6). Denticle reduction occurred convergently in the Himalayan clade and in H. davisoni. In the ancestors of the clade (H. aduncus + H. bowringi) + (H. melchioritis + H. mniszechi) + H. vitalisi, denticles were reduced to a single remnant or eliminated, but occasional individuals of H. aduncus and H. bowringi exhibit partial reappearance of multiple denticles, suggesting reversibility. The absence of denticles in H. howdeni is interpreted as a consequence of miniaturization, as small males across species exhibit reduced dentition.

Other male secondary sexual traits show similar evolutionary trajectories. Both large mandibular granules and dorsal protuberances of the head originated in the clade comprising (H. mandibularis + H. howdeni) + ((H. buquetti + H. rhinoceros) + (H. parryi + (H. sanuchi + H. nigritus))). These characters were subsequently lost in H. howdeni, again likely as a result of miniaturization. The protruding clypeolabrum occurs in ((H. buquetti + H. rhinoceros) + (H. parryi + (H. sanuchi + H. nigritus))) and in the monotypic genus Weinreichius, but ancestral state reconstruction indicates independent origins.

Male elytral coloration exhibits evolutionary lability (Figs S5, S6). Orange elytra occur sporadically within Hexarthrius, being fixed in H. parryi and Y. makii, but geographically variable in H. sanuchi, H. vitalisi, and R. crenatus (Kawakami 2023; Kawakami 2024). Within H. sanuchi, multiple color forms occur within the same locality, indicating polymorphism rather than geographic structuring (Kawakami 2023).

Body size evolution in the H. mandibularis + H. howdeni lineage is striking. Hexarthrius mandibularis represents the largest Hexarthrius species (up to 119.5 mm), whereas H. howdeni is the smallest (max. 63 mm) (Kawakami 2023). Despite this extreme difference, genetic distance (0.064) and divergence times indicate a recent shared origin (Figs 3, 4; Supporting Information, Table S2). This rapid size divergence likely reflects island-driven evolutionary mechanisms and highlights a broader issue: reliance on characters of large males in previous lucanid taxonomy may have obscured true evolutionary relationships, particularly when large males are absent or rare.

In contrast to male traits, only female head punctation provides phylogenetically consistent signal. Females of the Tropical clade possess coarse, dense punctures, whereas Himalayan clade females have smooth to weakly punctate heads (Fig. S6). Our analysis suggests that the coarse head morphology likely represents the ancestral state for the Hexarthrius clade, while the smooth head evolved independently in Rhaetus and the Himalayan clade of Hexarthrius (Fig. S5H). The intermediate condition in H. vitalisi and H. forsteri reflects transitional morphological evolution, matching their phylogenetic placement. This result indicates that female morphology, despite being overlooked historically, may be more informative for phylogeny than highly variable male characters.

4.4. Species delimitation and cryptic species

Species boundaries in stag beetles remain problematic (Huang and Chen 2013). Our COI K2P distance matrix (Supporting Information, Table S2) identified two anomalies: an unusually low distance of 0.005 between H. sanuchi and H. nigritus, and a deep divergence of 0.102 between H. vitalisi vitalisi (collected from Yunnan) and H. vitalisi tsukamotoi (Guangxi). The near-identity of COI sequences in H. sanuchi and H. nigritus, coupled with their overlapping morphological variation and unstable diagnostic characters (Araya 2014; Kawakami 2023), strongly suggests conspecificity or recent gene flow. However, because our samples include multi-generation, captive-bred material and we lacked direct examination of type specimens, we refrain from proposing formal synonymy pending broader sampling and examination of types.

Conversely, the deep COI divergence among H. vitalisi subspecies indicates cryptic diversity within what is currently treated as a single species (Supporting Information, Table S2). Morphological variation within H. vitalisi is geographically structured: some populations (e.g. H. vitalisi tsukamotoi and an unnamed central Vietnam group) share orange elytra and similarly shaped mandibles, whereas others (e.g. H. vitalisi vitalisi and an unnamed southern China group) display dark brown elytra and distinct pronotal and mandibular morphologies. These patterns, together with geographically disjunct distributions, imply multiple independently evolving lineages that deserve taxonomic reassessment. Until additional specimens, type-material comparisons and nuclear loci are examined, we conservatively retain current subspecific assignments but highlight these cases as priorities for taxonomic revision.

Across the genus Hexarthrius, the average interspecific K2P distance is 0.14, with most interspecific values above 0.05 and intersubspecific values below 0.05 (Supporting Information, Table S2). While this empirical threshold is useful as a preliminary guide, exceptions documented here (notably H. sanuchi / H. nigritus and the H. vitalisi complex) underscore the need for integrative approaches combining mitogenomes, nuclear markers, morphology (including females), and geographic sampling to delimit species robustly in Hexarthrius and allied genera such as Prosopocoilus.

5. Declarations

Competing interests. The authors have declared that no competing interests exist.

Data availability statement. Sequence data generated for this study has been accessed to GenBank under accession numbers PQ493465–PQ493486. All datasets and workflows used for the analyses are deposited in FigShare (https://doi.org/10.6084/m9.figshare.28079942). The specimens studied are preserved in School of Life Sciences, Nanjing Normal University, Nanjing, China.

Funding. This study was funded by the Natural Science Foundation of Jiangsu Province (No. BK20201009) to Zhi-Teng Chen.

Author contributions. XHYZ: Conceptualization, Methodology, Software, Formal analysis, Investigation, Writing – original draft. YQ: Investigation, Resources, Writing – original draft. ZTC: Methodology, Validation, Formal analysis, Data curation, Writing – review and Editing, Supervision, Project administration, Funding acquisition.

6. Acknowledgements

We would like to express our sincere gratitude to Mr An-Jun Shui, Jun-Young Lee, Mu-Chen Su, Jing-Hong Wang, Rong-Chuan Tao, Fa-Qiang Su, and Chang-Qing Chen for providing valuable specimens and information, to Mr Lu-Yun Zhang for his assistance in wild collection, and to Mr Da Pan for his assistance in phylogenetic analysis. We also thank the editor and reviewers for insight comments.

7. References

  • Araya K (2014) A redescription of Hexarthrius sanuchi Fukinuki, 2004 (Coleoptera, Lucanidae) from Cambodia. Kogane 16: 103–106.
  • Arnaud P, Miyashita T (2006) Description d’un nouveau genre et d’une nouvelle espèce de Coléoptère Lucanidae du Vietnam. Besoiro 14: 2–3.
  • Ayivi SPG, Tong Y, Storey KB, Yu DN, Zhang JY (2021) The mitochondrial genomes of 18 new Pleurosticti (Coleoptera: Scarabaeidae) exhibit a novel trnQ-NCR-trnI-trnM gene rearrangement and clarify phylogenetic relationships of subfamilies within Scarabaeidae. Insects 12(11): 1025. https://doi.org/10.3390/insects12111025
  • Baba M (1998) A revisional synopsis of the Hexarthrius vitalisi Didier, 1925. Futao 27: 6–21.
  • Benesh B (1960) Lucanidae 2th ed. Coleopterorum Catalogus. Supplement 8: 1–178.
  • Bernt M, Donath A, Juhling F, Externbrink F, Florentz C, Fritzsch G, Putz J, Middendorf M, Stadler PF (2007) MITOS: Improved de novo metazoan mitochondrial genome annotation. Molecular Phylogenetics and Evolution 69(2): 313–319. https://doi.org/10.1016/j.ympev.2012.08.023
  • Bomans HE, Benoit P (2007) Inventaire provisoire commente des Coleopteres Lucanides d’Indonesie et de Malaisie. Lambillionea 107: 3–106.
  • Bouckaert R, Heled J, Kühnert D, Vaughan T, Wu CH, Xie D, Suchard MA, Rambaut A, Drummond AJ (2014) BEAST2: a software platform for Bayesian evolutionary analysis. PLOS Computational Biology 10: e1003537. https://doi.org/10.1371/journal.pcbi.1003537
  • Brower AV (1994) Rapid morphological radiation and convergence among races of the butterfly Heliconius erato inferred from patterns of mitochondrial DNA evolution. Proceedings of the National Academy of Sciences of the United States of America 91: 6491–6495. https://doi.org/10.1073/pnas.91.14.6491
  • Cox K, Thomaes A, Antonini G, Zilioli M, De Gelas K, Harvey D, Solano E, Audisio P, McKeown N, Shaw P, Minetti R, Bartolozzi L, Mergeay J (2013) Testing the performance of a fragment of the COI gene to identify western Palaearctic stag beetle species (Coleoptera, Lucanidae). ZooKeys 365: 105. https://doi.org/10.3897/zookeys.365.5526
  • de Lisle M (1972) Description de trois coléoptères Lucanides nouveaux des îles Philippines. Nouvelle Revue d’Entomologie 2(2): 151–156.
  • Deyrolle H (1864) Description de plusieurs nouvelles espèces de la famille des Lucanides. Annales De La Société Entomologique De France (Quatrieme Série) 4: 311–320.
  • Deyrolle H (1881) Description de cinq Lucanides nouveaux. Annales de la Société Entomologique de France 1(6): 237–240.
  • Folmer O, Black M, Hoeh W, Lutz R, Vrijenhoek R (1994) DNA primers for amplification of mitochondrial cytochrome c oxidase subunit I from diverse metazoan invertebrates. Molecular Marine Biology and Biotechnology 3: 294–299.
  • Fujita H (2010) The Lucanid Beetles of the World. Mushi-sha’s Iconographic Series of Insects 6. Mushi-sha, Tokyo, 736 pp.
  • Fukinuki K (2004) The stag beetles for descriptions of the new species. Insect Field 39: 28–33.
  • Ge XY, Liu T, Kang Y, Liu HY, Yang YX (2022) First complete mitochondrial genomes of Ototretinae (Coleoptera, Lampyridae) with evolutionary insights into gene rearrangement. Genomics 114(2): 110305. https://doi.org/10.1016/j.ygeno.2022.110305
  • Hanebuth TJ, Voris HK, Yokoyama Y, Saito Y, Okuno JI (2011) Formation and fate of sedimentary depocentres on Southeast Asia’s Sunda Shelf over the past sea-level cycle and biogeographic implications. Earth-Science Reviews 104: 92–110. https://doi.org/10.1016/j.earscirev.2010.09.006
  • He Z, Zhang Z, Guo Z, Scotese CR, Deng C (2023) An early Miocene (~20 Ma) paleogeographic reconstruction for paleoclimate modelling. Palaeogeography, Palaeoclimatology, Palaeoecology 612: 111382. https://doi.org/10.1016/j.palaeo.2022.111382
  • Hope FW (1840) Descriptions of some nondescript insects from Assam, collected by William Griffith. Proceedings of the Entomological Society of London 1: 77–79.
  • Hope FW (1842) On some rare and beautiful Coleopterous insects from Silhet, the major part belonging to the collection of Frederic Parry, Esq., of Cheltenham. Proceedings of the Linnean Society of London 1: 127–128.
  • Hope FW (1843) Description of new species of exotic Coleoptera. Proceedings of the Entomological Society of London: 94–95.
  • Hope FW, Westwood JO (1845) A catalogue of the Lucanoid Coleoptera in the collection of the Rev. F. W. Hope, M.A., F.R.S. & c., President of the Entomological Society of London, with descriptions of the new species therein contained. Bridgewater, London, 31 pp.
  • Huang H, Chen CC (2013) Stag Beetles of China II. Formosa Ecological Company, Taiwan, 716 pp.
  • Jeong JS, Kim MJ, Kim I (2020) The mitochondrial genome of the dung beetle, Copris tripartitus, with mitogenomic comparisons within Scarabaeidae (Coleoptera). International Journal of Biological Macromolecules 144: 874–891. https://doi.org/10.1016/j.ijbiomac.2019.09.165
  • Kalyaanamoorthy S, Minh BQ, Wong TKF, von Haeseler A, Jermiin LS (2017) ModelFinder: fast model selection for accurate phylogenetic estimates. Nature Methods 14: 587–589. https://doi.org/10.1038/nmeth.4285
  • Katoh K, Standley DM (2013) MAFFT multiple sequence alignment software version 7: Improvements in performance and usability. Molecular Biology and Evolution 30: 772–780. https://doi.org/10.1093/molbev/mst010
  • Kawakami A (2023) A synopsis of the Genus Hexarthrius (Coleoptera: Lucaninae) in the world. Bekuwa 87: 6–43.
  • Kawakami A (2024) A synopsis of the Genera Rhaetus, Rhaetulus, Pseudorhaetus, Weinreichius, and Yumikoi (Coleoptera: Lucaninae) in the world. Bekuwa 91: 4–29.
  • Kim SI, Farrell BD (2015) Phylogeny of world stag beetles (Coleoptera: Lucanidae) reveals a Gondwanan origin of Darwin’s stag beetle. Molecular Phylogenetics and Evolution 86: 35–48. https://doi.org/10.1016/j.ympev.2015.02.015
  • Kimura M (1980) A simple method for estimating evolutionary rate of base substitutions through comparative studies of nucleotide sequences. Journal of Molecular Evolution 16: 111–120. https://doi.org/10.1007/BF01731581
  • Král D (1994) Sinodendron yunnanense sp. nov. From China, with a key to the Palearctic species of this genus. Entomological Problems 25(1): 47–52.
  • Krzywinski J, Li C, Morris M, Conn JE, Lima JB, Povoa MM, Wilkerson RC (2011) Analysis of the evolutionary forces shaping mitochondrial genomes of a Neotropical malaria vector complex. Molecular Phylogenetics and Evolution 58: 469–477. https://doi.org/10.1016/j.ympev.2011.01.003
  • Lacroix JP (1978) Contribution à l’études des Coléoptères Lucanides du globe. Deux genres nouveaux et onze espèces inédites (Chiasognathinae, Lucaninae, Chalcodinae, Cladognathinae, Dorcinae). Bulletin et Annales de la Société Royale d’Entomologie de Belgique 114: 249–294.
  • Lacroix JP (1990) Description de Coleoptera Lucanidae nouveaux ou peu connus (7ème note). Bulletin de la Société Sciences Nat 65: 11–14.
  • Latreille PA (1804) Tableau méthodique des insectes. Nouveau Dictionnaire d’Histoire Naturelle, Appliquée aux Arts, Principalement à l’Agriculture et à l’Economie Rurale et Domestique 24: 129–200.
  • Li X, Ou J, Wei Z, Li Y, Tian Y (2016) The mitogenomes of three beetles (Coleoptera: Polyphaga: Cucujiformia): new gene rearrangement and phylogeny. Biochemical Systematics and Ecology 69: 101–107. https://doi.org/10.1016/j.bse.2016.08.012
  • Lin ZQ, Song F, Li T, Wu YY, Wan X (2017) New mitogenomes of two Chinese stag beetles (Coleoptera, Lucanidae) and their implications for systematics. Journal of Insect Science 17(2): 63. https://doi.org/10.1093/jisesa/iex041
  • Lowe TM, Chan PP (2016) tRNAscan-SE On-line: Integrating search and context for analysis of transfer RNA genes. Nucleic Acids Research 44: W54–W57. https://doi.org/10.1093/nar/gkw413
  • Matzke NJ (2014) Model selection in historical biogeography reveals that founder event speciation is a crucial process in island clades. Systematic Biology 63: 951–970. https://doi.org/10.1093/sysbio/syu056
  • Maes JM (1992) Lista de los Lucanidae (Coleoptera) del Mundo. Revista Nicaraguense de Entomologia 22: 1–121.
  • Meng G, Li Y, Yang C, Liu S (2019) MitoZ: A toolkit for mitochondrial genome assembly, annotation, and visualization. Nucleic Acids Research 47: e63. https://doi.org/10.1093/nar/gkz173
  • Miller MA, Wayne P, Terri S (2011) The CIPRES science gateway: a community resource for phylogenetic analyses. In: Towns J (Ed.) Proceedings of the 2011 TeraGrid Conference: Extreme Digital Discovery (TG ’11). Association for Computing Machinery, New York, Article 41, 1–8. https://doi.org/10.1145/2016741.2016785
  • Möllenkamp W (1898) Eine Prachtsendung aus dem Innern der Insel Sumatra. Societas Entomologica 12(19): 145–146.
  • Morrison S (2014) Geologic evolution of the Philippines. University of Wisconsin-Eau Claire, Wisconsin-Eau Claire, 22 pp.
  • Nagai S (1998) A new species of the genus Hexarthrius Hope, 1842 from China. Gekkan-Mushi 328: 8–9.
  • Nagai S (2000) Notes on some SE. Asian stag beetles with descriptions of several new taxa. Gekkan-Mushi 356: 2–9.
  • Okuda N, Maeda T (2016) Two new species of the genus Lucanus Scopoli and two new subspecies of the genus Hexarthrius Hope from Arunachal Pradesh, northeastern India. Gekkan-Mushi 544: 19–26.
  • Olivier AG (1789) Entomologie, ou histoire naturelle des insectes, avec leurs caractères génériques et spécifiques, leur description, leur synonymie, et leur figure enluminée. Coléoptères. Baudouin, Paris, 190 pp. https://doi.org/10.5962/bhl.title.61905
  • Parry FJS (1862) Further descriptions and characters of undescribed Lucanoid Coleoptera. Proceedings of the Entomological Society of London 3: 107–113
  • Perna NT, Kocher TD (1995) Patterns of nucleotide composition at fourfold degenerate sites of animal mitochondrial genomes. Journal of Molecular Evolution 41: 353–358. https://doi.org/10.1007/BF01215182
  • Planet L (1899) Description d’un nouveau genre et d’une espèce nouvelle de Coléoptère. Le Naturaliste 13: 174–175.
  • Ronquist F, Teslenko M, Mark PVD, Ayres DL, Darling A, Höhna S, Larget B, Liu L, Suchard MA, Huelsenbeck JP (2012) MrBayes 3.2: Efficient Bayesian phylogenetic inference and model choice across a large model space. Systematic Biology 61: 539–542. https://doi.org/10.1093/sysbio/sys029
  • Rozas J, Ferrer-Mata A, Sánchez-DelBarrio JC, Guirao-Rico S, Librado P, Ramos-Onsins SE, Alejandro SG. (2017) DnaSP 6: DNA sequence polymorphism analysis of large data sets. Molecular Biology and Evolution 34: 3299–3302. https://doi.org/10.1093/molbev/msx248
  • Schenk KD (2003) Beitrag zur Kenntnis der Hirschkäfer Asiens. Facetta 22: 6–28.
  • Schenk KD (2005) Hexarthrius rhinoceros hansi ssp. nov. von Sumatra. Facetta 23–24: 2–5.
  • Séguy E (1954) Hexarthrius melchioritis n. sp. Revue Francaise d’Entomologie 21: 184–194.
  • Talavera G, Castresana J (2007) Improvement of phylogenies after removing divergent and ambiguously aligned blocks from protein sequence alignments. Systematic Biology 56: 564–577. https://doi.org/10.1080/10635150701472164
  • Thomson J (1857) Description de trois coléoptères. Archives Entomologiques 1: 395–398.
  • Timmermans MJ, Barton C, Haran J, Ahrens D, Culverwell CL, Ollikainen A, Dodsworth S, Foster PG, Bocak L, Vogler AP (2015) Family-level sampling of mitochondrial genomes in Coleoptera: compositional heterogeneity and phylogenetics. Genome Biology and Evolution 8: 161–175. https://doi.org/10.1093/gbe/evv241
  • Timmermans MJ, Vogler AP (2012) Phylogenetically informative rearrangements in mitochondrial genomes of Coleoptera, and monophyly of aquatic elateriform beetles (Dryopoidea). Molecular Phylogenetics and Evolution 63(2): 299–304. https://doi.org/10.1016/j.ympev.2011.12.021
  • Westwood JO (1871) Descriptions of some new species of exotic Lucanidae. Transactions of the Royal Entomological Society of London 3: 353–374.
  • Xing Y, Ree RH (2017) Uplift-driven diversification in the Hengduan Mountains, a temperate biodiversity hotspot. Proceedings of the National Academy of Sciences 114(17): E3444–E3451. https://doi.org/10.1073/pnas.1616063114
  • Yanai Z, Sartori M, Dor R, Dorchin N (2017) Molecular phylogeny and morphological analysis resolve a long-standing controversy over generic concepts in Ecdyonurinae mayflies (Ephemeroptera: Heptageniidae). Systematic Entomology 42: 182–193. https://doi.org10.1111/syen.12203
  • Yang Y, Kang Y, Tong J, Ge X, Yang X, Liu H (2023) Mitochondrial gene rearrangements suggest a new genus in the subfamily Cantharinae (Coleoptera). Zoologica Scripta 52(1): 86–99. https://doi.org/10.1111/zsc.12572
  • Yu Y, Blair C, He XJ (2020) RASP 4: ancestral state reconstruction tool for multiple genes and characters. Molecular Biology and Evolution 37: 604–606. https://doi.org/10.1093/molbev/msz257
  • Yuan ML, Zhang QL, Zhang L, Guo ZL, Liu YJ, Shen YY, Shao R (2016) High-evel phylogeny of the Coleoptera inferred with mitochondrial genome sequences. Molecular Phylogenetics and Evolution 104: 99–111. https://doi.org/10.1016/j.ympev.2016.08.002
  • Zhang D, Gao F, Jakovlić I, Zou H, Zhang J, Li WX, Wang GT (2020) PhyloSuite: An integrated and scalable desktop platform for streamlined molecular sequence data management and evolutionary phylogenetics studies. Molecular Ecology Resources 20: 348–355. https://doi.org/10.1111/1755-0998.13096
  • Zheng X, Chen Z, Mu P, Ma Z, Zhou C (2022) Descriptions and barcoding of five new Chinese Deuterophlebia species revealing this genus in both Holarctic and Oriental realms (Diptera: Deuterophlebiidae). Insects 13(7): 593. https://doi.org/10.3390/insects13070593

Supplementary materials

Supplementary material 1 

Figures S1–S6

Zheng XHY, Qin Y, Chen ZT (2026)

Data type: .zip

Explanation notes: Figure S1. Mitochondrial maps of Hexarthrius parryi paradoxus, Hexarthrius parryi deyrollei, Hexarthrius sanuchi, Hexarthrius buquetti, Hexarthrius nigritus, Hexarthrius rhinoceros rhinoceros. — Figure S2. Mitochondrial maps of Hexarthrius aduncus aduncus, Hexarthrius aduncus igarashiae, Hexarthrius vitalisi vitalisi, Hexarthrius vitalisi tsukamotoi, Hexarthrius davisoni, Hexarthrius bowringi baminorum. — Figure S3. Mitochondrial maps of Hexarthrius melchioritis, Hexarthrius mniszechi, Hexarthrius forsteri forsteri, Hexarthrius forsteri kiyotamii, Prosopocoilus doris. — Figure S4. Unusual variability in mitogenomic features of Hexarthrius. A Scatterplots of A+T content and AT-skew values for whole mitogenomes of Hexarthrius; B Ratio of non-synonymous (Ka) to synonymous (Ks) substitution rates of 18 Hexarthrius mitogenomes; C Sliding window analysis of 13 aligned PCGs among 18 Hexarthrius mitogenomes, the red line shows the value of nucleotide diversity (Pi). — Figure S5. Ancestral state reconstruction for eight morphological characters in Hexarthrius clade. A Reconstruction for clypeolabrum; B Reconstruction for granules over mandible; C Reconstruction for basal teeth of mandible; D Reconstruction for denticles between mandibular base and major tooth; E Reconstruction for antennal club; F Reconstruction for dorsal protuberance of head; G Reconstruction for elytra color; H Reconstruction for female head. — Figure S6. Morphological characters of the Hexarthrius clade used in the ancestral states reconstruction. Characters A–H and their states identical to those in Figure S5.

This dataset is made available under the Open Database License (http://opendatacommons.org/licenses/odbl/1.0). The Open Database License (ODbL) is a license agreement intended to allow users to freely share, modify, and use this dataset while maintaining this same freedom for others, provided that the original source and author(s) are credited.
Download file (2.26 MB)
Supplementary material 2 

Table S1, S2

Zheng XHY, Qin Y, Chen ZT (2026)

Data type: .zip

Explanation notes: Table S1. Information of mitogenomes used in this study. — Table S2. Values of K2P genetic distance among the DNA barcodes (COI).

This dataset is made available under the Open Database License (http://opendatacommons.org/licenses/odbl/1.0). The Open Database License (ODbL) is a license agreement intended to allow users to freely share, modify, and use this dataset while maintaining this same freedom for others, provided that the original source and author(s) are credited.
Download file (530.03 kb)
login to comment