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Research Article
Phylogeny of eleven genera of Perlodidae Klapálek, 1909 (Plecoptera) based on the mitochondrial genomes, with biogeographical discussion of the family
expand article infoQing-Bo Huo, Xiao Yang, Abdur Rehman, Yu-Zhou Du
‡ Yangzhou University, Yangzhou, China
Open Access

Abstract

The phylogenetic relationship of Perlodidae is presented in this paper based on mitochondrial genomes with different matrix (PCG, PCGR, PCG12, PCG12R). This study includes molecular data from seven genera and seven species, including three rare genera and five species from China. The results show that the monophyly of subfamilies and tribes of Perlodidae is well supported, as well as that Perlodinae and Isoperlinae diverged from a common ancestor at the same time, while the split between Arcynopterygini and Perlodini + Diploperlini occurred after the split between the two subfamiles. A discussion of the origin and migration of the Holarctic and Palearctic-Oriental perlodid genera is provided in this paper.

Key words

biogeography, monophyletic, Perlodidae, phylogeny, Plecoptera

1. Introduction

The family Perlodidae Klapálek, 1909 belongs to Pleco­ptera, Arctoperlaria, Systellognatha, and is one of the most common stonefly families in the Northern Hemisphere. Previous phylogenetic studies based on morphological characteristics (adult, nymph, spermatocyte, etc.) and molecular data (mitochondrial genome or transcriptome) support that Perlodidae and Chloroperlidae Okamoto, 1912, Perlidae Latreille, 1802 and Kathroperlidae Banks, 1947 form the superfamily Perloidea. These studies also suggest that Perlodidae is closely related to Chloroperlidae (Illies 1965; Stewart and Stark 1988; Zwick 2000; Fausto et al. 2002; Davis 2013; Ding et al. 2019; Letsch et al. 2021; South et al. 2021a, 2021b; Wang et al. 2022; Cao et al. 2022).

Klapálek (1909) established Perlodidae without dividing it into subfamilies. This changed when Frison (1942) transferred Isoperla from Perlidae to Perlodidae, proposing the subfamily Isoperlinae. Since then, the classification of Perlodidae has evolved significantly. Initially, it was divided into three subfamilies (Ricker 1943, 1952), then expanded to five subfamilies (Ricker and Scudder 1975), and is now widely accepted as having two subfamilies, i.e., Isoperlinae and Perlodinae (Zwick 1973, 1980).

Currently, Perlodidae includes more than 370 recorded species (DeWalt et al. 2024) across 56 genera. This includes many monotypic genera and species with uncertain genus assignment. Notably, females often exhibit poorly described or unknown morphological traits, largely due to a lack of comprehensive revision. In addition, the 47 genera of subfamily Perlodinae are further divided into three tribes: Arcynopterygini, Diploperlini, and Perlodini (Stark and Szczytko 1984, 1988). In contrast, Isoperlinae contains only nine genera, is not subdivided into tribes, but includes approximately 200 species (DeWalt et al. 2024), accounting for more than 50% of the family.

Significant progress in the molecular systematics of various groups within Perlodidae has been lacking for a long time. The amount of molecular data and its taxonomic coverage for this family has been minimal. Until recent years, South et al. (2021) used transcriptome data from 25 genera of Perlodidae in North America to regionally demonstrate the monophyly of its two subfamilies and most tribes. In related studies in Asia, the phylogenetic analysis of Plecoptera largely relies on mitochondrial genome data (mostly sequenced by Chinese scholars). So far, only the sequences of 16 species of Perlodidae are available (Ding et al. 2019; Du 2020; Wang et al. 2022; Cao et al. 2022; Yang et al. 2025). The phylogenetic relationships of Asian Perlodidae genera has not been tested using molecular systematics before.

In this study (Table 1), we used the mitochondrial genome data from two subfamilies, 3 tribes, 11 genera, and 16 species of Perlodidae, including sequences from 7 genera and 7 species that were sequenced. Data for 3 genera (Stavsolus, Neowuia, Tibetisoperla) and 5 species (Stavsolus manchuricus Teslenko, 1999, Neowuia wuyishana Huo and Du, 2023, Perlodinella kozlovi Klapálek, 1912, Perlodinella epiproctalis (Zwick, 1997), Tibetisoperla wangluyui Huo and Du, 2021) are from Yang et al. (2025). The remaining data were downloaded from Gene­Bank. These data were used to construct phylogenetic trees based on different matrices to deduce the phylogenetic relationship of the subfamilies and tribes of Perlodidae. In addition, based on our phylogenetic results and the conclusions of previous studies, we further discuss the global distribution, origin, and spread of Perlodidae in combination with zoogeography.

Table 1.

Information of Plecoptera specimens analyzed in this study.

Species Number GenBank No. Collecting Locality Collecting Date Remarks
Isoperla bilineata 15048 NC_038190.1
Isoperla eximia 16034 NC_038167.1
Arcynopteryx dichroa 16215 NC_059845.1
Filchneria songi 16028 MZ475123.1
Filchneria zhouchangfai 16032 NC_086967.1
Perlodes sp. 16039 MF197377.1
Perlodinella shennongjia 17612 NC_086966.1
Pseudomegarcys japonica 16067 NC_038168.1
Filchneria zhouchangfai 15947 PQ616051 Anhui, China March 2021 Male
Stavsolus manchuricus 16130 PQ616052 Shaanxi, China July 2018 Male; Site A1
Neowuia wuyishana 16672 PQ616053 Fujian, China May 2021 Female paratype
Perlodinella kozlovi 16024 PQ616054 Qinghai, China July 2021 Male
Perlodinella epiproctalis 16017 PQ616056 Qinghai, China July 2021 Male
Isoperla qinlinga 16195 PQ616055 Shaanxi, China April 2019 Male
Filchneria songi 16025 PQ616057 Shaanxi, China April 2019 Male
Tibetisoperla wangluyui 16043 PQ644302 Xizang, China July 2020 Male; Site XZCQ-20-96
Megarcys ochracea 16239 PQ222379 Heilongjiang, China June 2023 Male
Skwala compacta 16418 PP997962 Heilongjiang, China June 2023 Male
Rhopalopsole subnigra 15562 OQ612622.1 Outgroup
Rhopalopsole bulbifera 15599 NC_042207.1 Outgroup

2. Materials and methods

2.1. Sampling information and DNA extraction

We collected adult Perlodidae from different provinces of China: Filchneria zhouchangfai from Anhui, Stavsolus manchuricus from Liaoning, Neowuia wuyishana from Fujian, Perlodinella kozlovi and Perlodinella epiproctalis from Qinghai, Isoperla qinlinga and Filchneria songi from Shaanxi, Tibetisoperla wangluyui from Xizang (Huo et al. 2020, 2021, 2022a, 2022b, 2022c, 2023), Megarcys ochracea and Skwala compacta from Heilongjiang (unpublished records).

Throughout the research, we followed ethical guidelines, ensuring that all activities were authorized and no endangered or threatened species were harmed. All specimens were preserved in 100% ethanol and stored at -20°C. For DNA extraction, we took samples from the thoracic muscles and legs of adult specimens, using the column mtDNAoutKit (Axygen Biotechnology, Hangzhou, China) according to the manufacturer’s instructions. The extracted genomic DNA was then stored at -20°C until it was needed for PCR analysis.

2.2. PCR amplification and sequencing

The whole genome was amplified using LA-PCR with the following conditions: initial denaturation at 93°C for 2 minutes, 40 cycles at 92°C for 10 seconds, annealing at 54°C for 30 seconds, and extension at 68°C for 8 minutes, increased by 20 seconds for the final 20 cycles, concluding with a 10-minute extension at 68°C. Quality control was performed using a Qubit 3.0 fluorometer to quantify DNA concentration and 1% agarose gel electrophoresis to assess the integrity of the PCR products. High-quality DNA samples were then used to create a 500 bp paired-end library with the NEBNext Ultra DNA Library Prep Kit for Illumina sequencing on the Illumina NovaSeq 6000 platform (BIOZERON Co., Ltd, Shanghai, China). De novo assembly was conducted using GetOrganelle v1.6.4, referencing the other mitochondrial genomes of Plecoptera to generate contigs. The Contigs of the mitogenome were generated by de novo assembly using GetOrganelle v1.6.5 using the mitochondrial genomes of closely related species as a reference. The potential mitochondrial reads were isolated from Illumina reads using BLAST against the mitogenomes species and GetOrganelle outcome. To complete the process, the accumulated sequences were rearranged and oriented to match the reference mitochondrial genome, providing a complete genetic sequence of mitochondria (BIOZERON Co., Ltd., Shanghai, China).

2.3. Phylogenetic analysis

We analyzed 18 previously published Plecoptera mito­chondrial genomes for phylogenetic assessment (­Table 1). Phylogenetic trees were constructed focusing on the family Perlodidae, with two species from the family Leuctridae included as the out-group. The analysis included all protein-coding genes (PCGs) and rRNA genes. Four datasets were utilized for the phylogenetic investigation: (1) sequences of the 13 PCGs (PCG matrix); (2) sequences of the 13 PCGs plus two rRNAs (PCGR matrix); (3) sequences of the 13 PCGs excluding third codon positions (PCG12 matrix); and (4) sequences of the 13 PCGs excluding third codon positions plus two rRNAs (PCG12R matrix). The optimal partitioning scheme and models were identified with ModelFinder (Kalyaanamoorthy et al. 2017) for maximum likelihood (ML) and Bayesian inference (BI) analyses. Bayesian inference was performed using MrBayes (version 3.1.2) with the following parameters: 10 million generations with four chains, sampling every 100 generations, and discarding the initial 25% as burn-in (Zhang et al. 2020; Ronquist and Huelsenbeck 2003; Zhao et al. 2020). Maximum likelihood analysis was conducted using IQTree v. 1.6.12 (Nguyen et al. 2015), employing 1,000 ultra-fast bootstrap estimates to assess the support for the branches in the resulting phylogenetic tree. The final phylogenetic tree was visualized using FigTree v1.4.2. (Available at: http://tree.bio.ed.ac.uk/software/figtree).

3. Results

3.1. Phylogenetic analyses

The phylogenetic analyses were conducted using concatenated mitochondrial genes from 20 stoneflies, and analyzed as four data matrixes (PCG, PCGR, PCG12, PCG12R). These mitogenomes included 16 species from the family Perlodidae (Table 1). Two species of Leuctridae (Rhopalopsole subnigra and Rhopalopsole bulbifera) were included as outgroup taxa (Table 1).

The phylogenetic trees generated by Bayesian inference (BI) and maximum likelihood (ML) analyses showed similar topologies, with species grouping into well-supported clades (Figs 1, 2). In both analyses, the subfamily Isoperlinae and most members of the subfamily Perlodinae were represented as distinct branches, with the exception of Pseudomegarcys, which was considered as a member of Arcynopterygini in Perlodinae. In the subfamily Perlodinae, the three genera of Arcynopterygini, the three genera of Perlodini, and the two genera of Diploperlini each formed monophyletic groups. However, it is noteworthy that Perlodes sp. nested within ­Filchneria, and was closely related with Filchneria zhouchangfai. The tribes Perlodini and Diploperlini formed sister groups, which in turn are together sister to Arcynopterygini. The final relationship within the Perlodinae subfamily is: (Perlodini + Diploperlini) + Arcynopterygini.

Within the Isoperlinae, Isoperla qinlinga is positioned at the base of the entire subfamily tree. The other three genera of Isoperlinae and Pseudomegarcys (Perlodinae) are contained within the clade of Isoperla. Additionally, Tibetisoperla from the Tibetan Plateau in China unexpectedly forms the sister group of I. bilineata from America, rather than of any Chinese (or even Asiatic) Isoperlinae taxa. The bootstrap value for this branch is relatively low (only 60), suggesting uncertainty regarding the robustness of this sister group relationship.

Figure 1. 

Phylogenetic tree of a subset of Perlodidae based on their mitogenomes (PCG) constructed with Bayesian Inference (BI) and maximum likelihood (ML) methods.

Figure 2. 

The phylogenetic tree of a subset of Perlodidae based on their mitogenomes (PCG12, PCGR, PCG12R) constructed with Bayesian Inference (BI) and maximum likelihood (ML) methods, showed results similar to Figure 1.

4. Discussion

4.1. Suspicious species identity

This study raises significant concerns regarding the accuracy of species identification related to the data for Pseudomegarcys and Perlodes. Morphologically, Pseudomegarcys Kohno, 1946 undoubtedly belongs to tribe Arcynopterygini of Perlodinae, and the etymology “Pseudo + Megarcys” suggests that the genus is most similar to its fellow Megarcys Klapálek, 1912. There is only one species, P. japonica Kohno, 1946, which occurs in Japan. However, the only mitochondrial genome data of P. japonica in NCBI (NC_038168.1) was sequenced by Wang et al. (2018) (materials without morphological figures presented), and this species has consistently appeared in Isoperlinae in previous molecular phylogenetic studies (South et al. 2021; Ding et al. 2019; Wang et al. 2022; Cao et al. 2022). Therefore, there is a high probability that the “P. japonica” in NCBI is misidentified.

The entry for Perlodes sp. in NCBI (MF197377.1) raises significant issues regarding species identification. Perlodes Banks, 1903 is the type genus of Perlodidae, primarily distributed from Europe to Northeast Asia, with only a few species found in southwest China (DeWalt et al. 2024). However, all Perlodes species in China were originally described based on the outline of the female subgenital plates, with poor descriptions and unknown critical features of their males (Wu 1938, 1962, 1973). Du (1999) and Yang and Li (2018) concluded that the taxonomic status of certain Perlodes species in China remains uncertain due to inadequate morphological data. Given that there is extensive intraspecific variation in the wing veins and subgenital plate of females (Lillehammer 1974; Huo et al. 2022a), these traits cannot be reliably used for genus-level identification. Huo et al. (2022c) further discussed the morphology of eggs from some related genera in the tribe Perlodini and concluded that the identity of all Perlodes species recorded in China is suspect .

Huo et al. (2022c) subsequently confirmed that Sino­perlodes is a synonym of Filchneria and found F. zhouchangfai in Zhejiang, Anhui, Fujian, and Guizhou in China. The first author examined this specimen and found its morphological characteristics to be consistent with those of Filchneria zhouchangfai (Fig. 3), rather than those of Perlodes. In this study, the branch of Perlodes sp. appeared between the two F. zhouchangfai from Anhui and Zhejiang in the phylogenetic tree, indicating that these three sequences correspond to the same species. Consequently, this indicates that there is currently no available mitochondrial genome data for Perlodes in the NCBI database.

In conclusion, our results generally support the monophyly of the two subfamilies of Perlodidae and the three tribes of the Perlodinae, which is consistent with the current taxonomic status of Perlodidae based on morphological taxonomy. Additionally, Perlodinae and Isoperlinae originated at the same time as they are sister taxa; the same is true for Diploperlini and Perlodini. However, the affiliation of Pseudomegarcys and the monophyly of the genera within Isoperlinae have not yet been verified.

Figure 3. 

Head and pronotum of the female “Perlodes sp.” in Chen et al. (2018) from Guizhou, original photo taken in April 2017 and disposed at YZU.

4.2. Origins and migrations

Our phylogenetic tree presents the chronological order of differentiation within the Perlodidae: Perlodinae and Isoperlinae diverged from a common ancestor at the same time, while the split between Arcynopterygini and Perlodini + Diploperlini occurred after the split between the two subfamilies. This result is largely supported and consistent with the transcriptome-based analysis by South et al. (2021), reflecting the relative stability of the internal structure of this family. Although molecular data of many genera and species are still missing, the existing research has revealed problems in our understanding of their evolution, and offers new insights and hypotheses for their zoogeography and evolutionary outcomes.

At present, only eight genera of perlodids are distributed across the Holarctic realm (Fig. 4), with the most widely distributed being Arcynopteryx, Megarcys, ­Skwala (all Arcynopterygini) and Isoperla, while Diploperlini (Pictetiella, Kogotus) and Perlodini (Diura) have few Holarctic genera and species. It should be noted that only one species of Helopicus (Perlodini), H. infuscatus (Newman, 1838), is reported from Asia, but its generic placement is, in our opinion, doubtful. DeWalt et al. (2024) provided the original references of this species, indicating its type locality was Hong Kong, China. However, for more than a century, Chinese taxonomists have largely overlooked the existence of this species (Du 1999; Yang and Li 2018; Huo and Du 2023). At present, there are no specimen images or collecting reports to confirm the generic placement, valid status, or distribution of H. infuscatus.

Figure 4. 

The distribution of the holarctic genera of Perlodidae, maps modified from DeWalt et al. (2024). The doubtful distribution of the sole Asian species (from Hong Kong, China) of Helopicus, H. infuscatus (Newman, 1838), is marked by “?”.

In terms of longitudinal distribution, most holarctic genera of Perlodidae (except Isoperla) have been recorded in the western part of North America, with few or no occurrences in the eastern part. Fochetti and Tierno de Figueroa (2008) provided a summary of the four postulated origins of Plecoptera in North America from Hynes (1988): 1) Original distribution prior to the separation of North America / Europe / Asia; 2) Eastward spread within North America from the West to the East due to the formation of the Cordillera mountain range; 3) Origin of one genus from the South; 4) Very recent spread of some species via the Bering Strait. We tend to consider that some of the genera of Isoperlinae and Arcynopterygini could have diverged after the breakup of Laurasia but prior to the formation of the Bering land bridge. However, for the genera with true Holarctic distributions (West and East Palaearctic, Nearctic), e.g., Arcynopteryx, Diura and Isoperla, especially the circumboreal Arcynopteryx, their dispersal could be more complex and require the combination of independent evidence sources for further study. The remaining genera of this family are distributed across North America and Eurasia, which may indicate independent evolutionary events resulting from geographical isolation.

In regards to latitude, overall poor dispersal capability, their dependence on coldwater, and flow direction of the water systems (Zwick 2000) appear to be important factors in dispersal of Perlodidae from north to south across the Holarctic realm . They are rarely reported (Huo 2023; DeWalt et al. 2024) both in the southern Nearctic realm (southern United States to Central America) and the northern Oriental region (mainly southern China). The major Chinese rivers (Yangtze/Yellow/Pearl Rivers) and mountainous terrain likely hindered stonefly dispersal from high to low latitudes. Huo (2023) suggested that the boundary of Oriental-Palearctic region in China may be the differentiation center of Isoperlinae in East Asia. On the east of Tibetan Plateau and south of Qinling Mountains, reports of Perlodidae are fewer, while discoveries of new genera/species in Isoperlinae (Huo et al. 2020, 2022b; Huo and Du 2023; Cao et al. 2020) are more frequent (Fig. 5). However, the Nearctic realm is where Isoperlinae is most diverse, with most of its genera found only in North America. The results of the current study do not prove whether Isoperlinae in the Nearctic Region evolved independently after the separation of the American continent from Asia or if it is a relict group following an extinction event. Future work should aim to obtain more species sequences and conduct more detailed analysis of the phylogenetic relationships within other genera of this family.

Figure 5. 

The distribution in subfamily/tribe level of Perlodidae in China, maps modified from Huo and Du (2023).

5. Declarations

Author Contributions. Qing-Bo Huo: Writing – original draft; formal analysis, investigation; Xiao Yang: Writing – original draft; visualization; data curation; Abdur Rehman: Writing – data curation; review and editing; Yu-Zhou Du: Writing – formal analysis; review and editing; funding acquisition; project administration. — Qing-Bo Huo and Xiao Yang contributed equally.

Conflict of Interest. The authors declare no conflict of interest.

Data Availability Statement. The data that support the findings of this study are available in NCBI: GenBank accession nos. of mitogenomes: PQ616051-PQ616057, PQ644302, PQ222379, PP997962.

6. Acknowledgements

This project was supported by the National Natural Science Foundation of China (No. 32170459; 32370480). We express our gratitude to Drs Andreas Zwick, Ed Dewalt and Dávid Murányi for improvement of the manuscript.

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