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Article

Integrative Taxonomy Clarifies Species Limits in Two Closely Related Solitary Wasps: Pachymenes ater and Pachymenes ghilianii (Hymenoptera: Vespidae: Eumeninae)

by
Wellington Ferreira
1,2,*,
Rodolpho Menezes
3,
Matheus Viana
3 and
Marcel Hermes
1
1
Centro de Estudos em Sistemática e Biologia de Insetos, Centro de Biodiversidade e Patrimônio Genético, Instituto de Ciências Naturais, Universidade Federal de Lavras, Lavras 37203-202, Brazil
2
Instituto Federal de Educação, Ciência e Tecnologia Baiano—Campus Guanambi, Zona Rural, Distrito de Ceraíma, Guanambi 46430-000, Brazil
3
Departamento de Ciências Biológicas, Universidade Estadual de Santa Cruz, Ilhéus 45662-900, Brazil
*
Author to whom correspondence should be addressed.
Insects 2026, 17(1), 78; https://doi.org/10.3390/insects17010078
Submission received: 12 December 2025 / Revised: 6 January 2026 / Accepted: 7 January 2026 / Published: 9 January 2026
(This article belongs to the Section Insect Systematics, Phylogeny and Evolution)
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Versions Notes

Simple Summary

Telling closely related species apart can be difficult when they look very similar on the outside. This problem occurs in a group of solitary wasps found in Central and South America, where two suspected sister species have long been hard to separate because they share many body features and often live in the same regions. In this study, we investigated whether these two wasps truly represent separate species by examining them in several ways. We looked closely at body structures, including some features that had not been considered before, and compared them with modern genetic information and data on where each form is found. We discovered that some of the traits traditionally used to identify the species are not reliable, but other, previously overlooked features help distinguish them more clearly. The genetic evidence also supports the idea that they are two separate species and reveals how they are related to each other. By bringing together different types of information, our study shows a more accurate way to define species in groups that appear very uniform. This approach can improve the classification of solitary wasps and help guide future research on their diversity and conservation.

Abstract

Species delimitation in morphologically conserved groups poses a significant challenge for traditional taxonomy. In the Neotropical wasp genus Pachymenes (Hymenoptera: Vespidae: Eumeninae), two putative sister species—Pachymenes ater and P. ghilianii—have historically been distinguished by a limited set of ambiguous morphological characters, often complicated by intraspecific variation and overlapping geographic distributions. Here, we apply an integrative taxonomic framework combining morphological, molecular, and geographic evidence to test species limits between these two taxa. We reassess previously proposed diagnostic traits and explore the utility of additional characters across multiple lines of evidence. Our results indicate that some morphological characters traditionally used for identification are insufficient for clear separation of species, while other, previously overlooked traits offer improved resolution. Molecular data further support species distinction and provide new insights into the evolutionary relationship between P. ater and P. ghilianii. This study highlights the importance of combining diverse data sources for robust species delimitation in solitary wasps and contributes to a better understanding of species boundaries within Eumeninae.

1. Introduction

Integrative taxonomy has emerged as a powerful framework for species delimitation, advocating the use of multiple and complementary data sources to achieve more accurate taxonomic decisions [1,2,3,4]. Under this approach, biodiversity is investigated through a multifaceted perspective that incorporates biological data from morphology, molecular biology, behavior, and ecology to address questions concerning the nature and boundaries of species [1].
Despite methodological and logistical challenges, integrative taxonomy has gained substantial traction in recent years. Within Hexapoda, studies focused on Hymenoptera represent a significant portion of integrative taxonomic literature [5,6,7,8,9,10]. Some studies are of particular interest [7,9,11,12,13], which apply integrative methods to Vespidae. Nonetheless, many lineages within this family remain poorly studied from this perspective, including the subfamily Eumeninae.
The genus Pachymenes de Saussure is a Neotropical group of solitary wasps [14,15], reported in Brazil from Atlantic Forest fragments, highland regions, and the Cerrado [16,17]. A comprehensive taxonomic revision of Pachymenes was conducted in recent years [15], recognizing 18 valid species and presenting a phylogenetic hypothesis. In their treatment, the authors discouraged the recognition of subspecies, aligning with earlier critiques of infraspecific taxa based solely on cuticular coloration in vespids [18,19].
Although their study clarified species relationships within the genus, certain taxonomic issues remain unresolved. One such case involves the delimitation of Pachymenes ater de Saussure and Pachymenes ghilianii (Spinola), recovered as sister species in their phylogenetic analysis and united by a single homoplastic trait—punctation on the second metasomal tergum [15]. Identification of these species using the available key can be problematic due to overlapping or ambiguous morphological characters. For instance, the most accessible character applicable to both sexes—development of the pronotal carina—is described as weak or medially restricted in P. ater and more strongly developed across the dorsal pronotal surface in P. ghilianii. However, the subjective nature of this distinction and the absence of illustrations render it difficult to apply reliably, especially without comparative material at hand.
A second character, coarse punctation on the apical half of the first metasomal tergum (in P. ater) versus smooth or finely punctate (in P. ghilianii), also lacks diagnostic clarity, as both conditions are described as “usually” present, with no mention of potential overlap. Furthermore, variation in cuticular coloration adds to the confusion. While P. ghilianii typically displays a yellowish-brown integument with black markings, melanic forms closely resemble P. ater, which is generally uniform in dark coloration with minimal markings [14,15].
The potential for sympatric occurrence adds a further layer of complexity. Distributional records suggest overlap between these species, and in some localities, specimens of both are morphologically similar with respect to color and putatively diagnostic traits [14,15]. As a result, species boundaries between P. ater and P. ghilianii remain unclear.
To date, few studies have explored such frameworks in solitary vespids. Taxonomic work in Eumeninae remains reliant on discrete morphological characters, leaving species hypotheses under-tested. A reassessment of current morphological criteria, alongside the inclusion of additional data (e.g., molecular markers, ecological preferences), is necessary to improve species delimitation. Following the principles of integrative taxonomy [20,21], this study applies a multi-evidence approach to investigate the validity and limits of P. ater and P. ghilianii.

2. Materials and Methods

2.1. Sampling

Specimens from multiple localities were used in order to cover the geographic distribution of P. ater and P. ghilianii. Both dry-mounted and ethanol-preserved specimens (90%) were employed for molecular analyses (Table S1 in Supplementary Material—henceforth SM). Morphological studies were conducted exclusively on dry-mounted material (see SM). For phylogenetic analyses (see below), Pachymenes sericeus (de Saussure) was used as the outgroup.
Specimens were identified to species level following the key provided by Grandinete et al. [15], and comparisons were made with material previously identified by the same authors. The specimens were sourced from the Coleção Entomológica da Universidade Federal de Lavras (CEUFLA), and on loan from the following institutions: AMNH, American Museum of Natural History (New York, NY, USA—Dr. James Carpenter); DZSJRP-Hymenoptera, Coleção de Hymenoptera de São José do Rio Preto, Instituto de Biociências, Letras e Ciências Exatas, Universidade Estadual Paulista “Júlio de Mesquita Filho” (São José do Rio Preto, Brazil—Dr. Fernando Noll); RPSP, Coleção Entomológica Prof. J.M.F. Camargo, Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo (Ribeirão Preto, Brazil—Dr. Eduardo Andrade Botelho de Almeida); CESC/UNISC, Coleção Entomológica da Universidade de Santa Cruz do Sul (Santa Cruz do Sul, Brazil—Dr. Andreas Köhler) (see Supplementary Materials).

2.2. DNA Extraction, Amplification, Sanger Sequencing, and Sequence Edition

Thoracic muscle was extracted from both dry-mounted and ethanol-preserved specimens, following the removal of the head and forelegs. Specimens were then remounted, preserving the exoskeleton. DNA was extracted from the isolated thoracic muscle using the QIAquick® Gel Extraction Kit (QIAGEN, Hilden, Germany). Two mitochondrial protein-coding genes were tested for amplification efficiency: Cytochrome c oxidase subunit I (COI), primers: CI-J-1718 [22] and CI-N-2191 [23]; and Cytochrome c oxidase subunit II (COII), primers: E2 [24] and COII1-2 [25]. Genbank accession numbers for specimens whose COI was amplified range from PX649439 to PX649454, and for COII from PX685873 to PX685884 (Table S3). Specific PCR conditions followed [26,27] (see also Table S2). PCR products were purified using the QIAquick® PCR Purification Kit (QIAGEN) following the standard protocol and sent for sequencing to the Centro de Recursos Biológicos e Biologia Genômica (CREBIO), Universidade Estadual Paulista “Júlio de Mesquita Filho” (Jaboticabal, Brazil).
Sequence quality was evaluated using Geneious v7.1.3 [28]. Forward and reverse reads were assembled into contigs within the same software. Contigs were edited to remove sequencing noise and to identify ambiguous bases. All samples were processed, but only 17 yielded successful amplification for at least one marker (Table S3).
Independent alignments for each locus were performed using MUSCLE (Multiple Sequence Alignment) with default parameters [29]. Alignments were visualized and edited in Mesquite v3.31 [30], which was also used to generate the concatenated dataset.
Partitioning and molecular evolution model selection were performed using PartitionFinder2 [31], applying the Bayesian Information Criterion (BIC). The molecular evolution models for each gene are listed in Table S4. Phylogenetic analyses were conducted separately for each locus and also using the concatenated dataset (see below).

2.3. Phylogenetic Analyses

Phylogenetic reconstructions were conducted using maximum parsimony (MP), maximum likelihood (ML), and Bayesian Inference (BI). MP analyses used equal character weighting [32]. Heuristic searches were performed in TNT v1.1 [33] using “New Technology Search” with the following settings: Sectorial Search [34] in default mode, Ratchet [35] with 200 iterations and perturbation phase set to 8 (for both up- and down-weighting), Drift [34] with 20 cycles, and Tree Fusing [34] with 10 rounds. The procedure was repeated until the shortest tree length was recovered at least 100 times. Random seed was set to 0. Gaps were treated as missing data. Clade support was assessed by bootstrap with 1000 replicates under traditional search.
ML trees were inferred using Garli 2.01 [36] under default settings. Branch support was assessed via 1000 bootstrap replicates and summarized as a 50% majority-rule consensus tree in PAUP* v4 [37]. BI analyses were performed in MrBayes v3.2.3 [38], using two independent runs of four chains for 50 million generations, sampling every 1000 generations, with 20% burn-in. Burn-in, convergence, and stationarity were assessed using Tracer v1.6 [39]. Trees resulting from MP analyses were visualized and edited in WinClada v1.00.08 [40], while ML and BI trees were processed in FigTree v1.4.0 [41].

2.4. Morphological Character Reassessment

Morphological character reassessment was based on both the phylogenetic results and direct comparative analysis among studied specimens. Comparative analyses were conducted between specimens from the same locality and/or corresponding to the same molecular clade, as well as between specimens of different clades. Additionally, diagnostic characters for the genus Pachymenes and both studied species, as previously proposed in the literature [15,42], were reevaluated to assess their variation and taxonomic reliability.
Special attention was given to characters traditionally used in keys and species diagnoses, including those related to the coloration of the metasoma and appendages, body punctation and sculpture, male genitalia, clypeal and cephalic morphology, mesosomal configuration, and wing venation. Morphological variation was interpreted in light of the molecular results, especially to evaluate whether the observed variation corresponded to intraspecific polymorphism or indicated interspecific divergence.
For diagnostic purposes, emphasis was placed on characters with minimal ontogenetic variation and low environmental plasticity. Whenever possible, we prioritized the use of discrete, qualitative characters with high interspecific stability, minimizing the reliance on continuous or highly variable traits.
Terminology for general external morphology and for male genitalia followed traditional works on Eumeninae [43,44]. Some terms referring to the mesepisternal region were adapted [45]. The abbreviations F1–F11 were used for antennal flagellomeres, while T1–T7 and S1–S7 refer to metasomal terga and sterna, respectively.
Morphological traits were reanalyzed in light of the phylogenetic clades recovered in both separate and combined analyses, as well as the results of the species delimitation tests. For each clade, we verified the consistency of diagnostic characters that may support species recognition.

2.5. Environmental Space, PCA, and Niche Overlap

We used occurrence records of both species (Table S1). From the monthly TerraClimate dataset (1958–2024; https://www.climatologylab.org/terraclimate.html, accessed on 15 September 2025), including minimum temperature, maximum temperature, and precipitation, we derived the 19 standard bioclimatic variables (BIO01–BIO19) using the biovars function in the dismo package [46]. To reduce multicollinearity, we applied Pearson correlation analysis and excluded variables with |r| ≥ 0.70 [47]. The remaining predictors were BIO01 (annual mean temperature), BIO02 (mean diurnal range), BIO03 (isothermality), BIO12 (annual precipitation), and BIO15 (precipitation seasonality) (Table S2). This five-variable subset jointly captures thermal averages, intra-daily and seasonal temperature variation, and the hydrological regime, while minimizing redundancy among predictors.
The accessible area (M) for each species was defined as the minimum convex polygon (MCP) encompassing all occurrences and buffered by 100 km. Random background points were sampled within each species-specific M (M1, M2) and within their union (M1 ∪ M2). The union area was used to calibrate the environmental space, while the individual M represented species-specific environmental availability. Environmental space was summarized using a principal component analysis (PCA) based on the background of M1 ∪ M2 (centered and scaled data), and both occurrence and background points were projected onto the first two principal components (PC1–PC2).
In the PCA-environment framework, we computed kernel density grids (R = 100) [48], as implemented in the ecospat package [49], resulting in normalized environmental utilization surfaces. Niche overlap was quantified using Schoener’s D, and overlap levels were classified according to Engler’s framework: 0–0.2 (no overlap), 0.2–0.4 (low), 0.4–0.6 (moderate), 0.6–0.8 (high), and 0.8–1.0 (very high) [50]. Niche equivalence was tested using permutations within the combined background (H0: niches are indistinguishable in the PCA-env), while directional similarity was assessed in both directions (A → B and B → A) [51]. For each test, the target species’ niche was kept fixed and the source species’ occurrences were randomized within M_B, with 1000 permutations.
Finally, to evaluate the robustness of our results, we repeated the entire workflow using only BIO01 and BIO12 (annual mean temperature and annual precipitation, respectively). We then compared Schoener’s D, test p-values, and the cumulative variance explained by PC1 + PC2 between both analyses.

3. Results

3.1. Molecular Data

Sequences were obtained for 16 samples (COI; 472 bp) and 12 samples (COII; 617 bp). These were independently aligned and then concatenated into a final matrix of 17 terminals and 1089 characters. Among the 1089 characters, 841 were constant, 185 were parsimony-informative, and 63 were variable but uninformative.

3.2. Phylogenetic Analyses

The three phylogenetic methods (MP, ML, and BI), both the concatenated (COI + COII) and single-locus datasets consistently recovered P. ater and P. ghilianii as reciprocally monophyletic with strong statistical support (Figure 1, Figure 2 and Figure 3 and Figures S1–S6). Maximum parsimony yielded five equally parsimonious trees that, despite limited internal resolution, delineated two well-supported species-specific clades and revealed two subgroups within P. ater. Maximum likelihood similarly supported monophyly in all datasets, though it recovered different internal topologies and consistently identified a highly divergent lineage within P. ater (PAAT01, PAAT02, PAAT04, PAAT05). Finally, Bayesian inference also strongly supported monophyly for both species in all analyses, with internal relationships largely congruent with MP and ML for P. ater, but more variable for P. ghilianii. Together, these results robustly confirm species-level distinctiveness while revealing considerable genetic structuring within P. ater.

3.3. Reassessment of Morphological Characters

Males of the two species can be reliably distinguished by the shape of the clypeus and genitalia (Table 1). The male clypeus provides the most accessible diagnostic feature: in P. ater, its apical portion is broader, anteriorly expanded, and distinctly convex, with a rounded apical margin; in P. ghilianii, it is narrower, nearly flat in frontal view, and more pointed apically (Figure 4A–D). In contrast, females—particularly those with atypical coloration—are more difficult to identify based solely on external morphology.
The pronotal carina remains the most consistent external character distinguishing P. ater and P. ghilianii, being weakly developed and often restricted to the median region in P. ater, but strongly developed and continuous across the pronotum in P. ghilianii (Figure 4E,F; [15]). The inclusion of detailed photographs in the present study provides improved visualization of this diagnostic feature.
Male genitalia also exhibit informative species-level differences. The apical projection of the gonocoxite clearly separates the species, with P. ater showing two to five digitiform projections and P. ghilianii only one (Figure 5A,B). This trait, together with the pattern of digitus setation—long, numerous setae in P. ater versus short, concentrated setae in P. ghilianii—offers robust diagnostic potential.
Punctation on the first metasomal tergum (T1), although previously proposed as diagnostic, proved unreliable. Both species display overlapping variation in puncture density and depth (Figure 6A–E), and no specimens of P. ater exhibited the truly coarse punctation described in earlier works. Such variation appears correlated with general cuticular sculpture and coloration, as melanic specimens tend to show reduced contrast in surface features, occasionally obscuring carinae or sulci.
Overall, our morphological comparison indicates that the shape of the clypeus and male genitalia provide stable diagnostic characters, while the pronotal carina and T1 punctation are more variable and prone to misinterpretation. The figures presented here facilitate accurate identification of P. ater and P. ghilianii and refine the diagnostic framework for Pachymenes species.

3.4. Niche Overlap of Pachymenes ater and P. ghilianii

Collection records for P. ater and P. ghilianii are shown in Figure 7, and the chromatic variation can be seen in Figure 8A–E. Pachymenes ghilianii exhibits a broader distribution than P. ater. Specimens have been recorded from central-southern Brazil, Argentina, and Paraguay, extending northward to the Guianas, Trinidad and Tobago, Ecuador, Colombia, Costa Rica, Panama, and Suriname. In Brazil, the species occurs across multiple biomes, including the Amazon, Atlantic Forest, Cerrado, and Pantanal domains. No records are known from coastal regions of the continent. By contrast, P. ater shows a more restricted potential distribution, with collection records concentrated in the southeastern region of South America—specifically from Argentina, Paraguay, and Brazil.
With five variables (BIO01, BIO02, BIO03, BIO12, BIO15), niche overlap between species was moderate, with Schoener’s D = 0.382 (Table 2). The equivalence test did not reject indistinguishable niches (p = 0.525), and directional similarity was not significant in either direction (A → B p = 0.374; B → A p = 0.384) (see Table 2). The PCA explained 70.2% of the variance in PC1 plus PC2 (PC1 = 44.3%; PC2 = 25.9%) (Table 2). In the sensitivity analysis using only BIO01 and BIO12, the metric decreased to D = 0.144, and tests led to the same conclusion (equivalence p = 0.602; directional similarities not significant).
There is a partial overlap in the geographical distributions of P. ater and P. ghilianii. In sympatric populations, however, individuals of each species exhibit distinct body coloration. Specimens of P. ater are typically dark brown to blackish, with none or very few pale-yellow markings (Figure 8A). In contrast, individuals identified as P. ghilianii generally have brownish integuments with extensive yellow markings (Figure 8B), a pattern observed in most of the examined specimens of this species. Nevertheless, given the wide distribution of P. ghilianii, significant intraspecific color variation is observed, ranging from the typical brownish pattern with yellow markings to entirely melanic individuals (Figure 8B–E).
Melanic individuals of P. ghilianii—with predominantly dark integument—have been recorded from northern Brazil (Amazonas), Ecuador, Costa Rica, and Peru. In contrast, individuals with the more typical brown-yellow coloration appear to have a broader potential distribution. One male specimen with yellow integument and few brown markings was recorded from Trinidad and Tobago. However, the lack of brown markings in this specimen may be due to its age and preservation state (collected in 1963) (Figure 8C). A single P. ghilianii specimen with entirely black integument was observed, originating from Costa Rica (Figure 8E). No other specimens with completely dark integument were examined; all remaining individuals showed at least some brown or yellow markings.

4. Discussion

Our primary hypothesis—that Pachymenes ater and P. ghilianii are reciprocally monophyletic species—was consistently supported across all three phylogenetic methods. All analyses recovered two well-supported monophyletic groups corresponding to each species, using both combined and individual COI and COII datasets. Within P. ater, two clades were recovered, but no geographical structure was observed. In contrast, the internal relationships within P. ghilianii were less stable and lacked high support, despite broad geographic sampling.
The divergence within P. ater is notable given its more restricted distribution and externally uniform morphology. However, previous studies have documented substantial variation in male genitalia in this species [15], supporting our findings. This suggests that genitalic and molecular divergence may occur despite morphological uniformity in external traits. Environmental and biogeographic factors may explain this pattern. As an Atlantic Forest species, P. ater may experience genetic isolation due to habitat fragmentation during Pleistocene climate fluctuations [27,52]. A more comprehensive phylogeographic analysis, including targeted sampling and morphometric data, would help test this hypothesis.
Despite ongoing debate about the sole use of COI barcoding for species delimitation [53,54], it remains a useful tool when integrated with other lines of evidence [55]. Our results align with other integrative taxonomic approaches [7,56], particularly under monophyly- and lineage-based species concepts [57,58,59], which regard reciprocal monophyly as a strong criterion for species recognition.
Thus, molecular evidence corroborates the morphological distinction between P. ater and P. ghilianii proposed in previous taxonomic revisions [14,15]. The mitochondrial markers employed proved effective in distinguishing these species. While we emphasize the importance of integrating morphology, we also advocate for the use of mitochondrial markers in taxonomic studies of Eumeninae.
Although mitochondrial gene trees may not reflect species histories [60], recent analyses based on mitochondrial genome-scale data have recovered well-established topologies within the polistines [61], reinforcing the utility of mitochondrial markers for the understanding of historical relationships. Our results further demonstrate the usefulness of these markers for species delimitation of solitary wasps. DNA extraction from older museum specimens, though challenging due to degradation in dry-pinned insects [62], yielded high-quality sequences for COI and COII.

5. Conclusions

Our findings provide robust molecular support for the reciprocal monophyly of Pachymenes ater and P. ghilianii, confirming their status as distinct species under integrative taxonomic frameworks. Moreover, the detection of divergent lineages within P. ater, despite its external morphological uniformity, highlights the importance of incorporating both molecular and morphological data to uncover cryptic diversity. Together, our results reinforce the value of integrative approaches in clarifying species limits in morphologically conserved insect groups.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/insects17010078/s1, Figure S1: Strict consensus of four equally parsimonious cladograms (length = 139; consistency index = 0.89; retention index = 0.96) based on equal character weighting of the COI sequences. Support values were estimated using bootstrap (1000 replicates). Black circles indicate synapomorphies; white circles indicate homoplasies; Figure S2: Strict consensus of four equally parsimonious cladograms (length = 166; consistency index = 0.92; retention index = 0.96) based on equal character weighting of the COII sequences. Support values were estimated using bootstrap (1000 replicates). Black circles indicate synapomorphies; white circles indicate homoplasies; Figure S3: Maximum likelihood phylogeny based on 472 bp of the mitochondrial gene COI. Numbers on branches indicate bootstrap support (1000 replicates); Figure S4: Maximum likelihood phylogeny based on 617 bp of the mitochondrial gene COII. Numbers on branches indicate bootstrap support (1000 replicates); Figure S5: Bayesian inference phylogeny based on 472 bp of the mitochondrial gene COI. Numbers on branches indicate posterior probability values; Figure S6: Bayesian inference phylogeny based on 617 bp of the mitochondrial gene COII. Numbers on branches indicate posterior probability values; Table S1: List of specimens used in the molecular analyses, with their respective code, identification, year of collection, locality and geographic coordinates; Table S2: Primer specification and PCR conditions used in the amplification of the target genes; Table S3: List of samples (specimens) and amplification success for different mitochondrial gene sequences: Cytochrome Oxidase Subunit I (COI); Cytochrome oxidase Subunit II (COII). Samples for which amplification was successful are referenced with their respective Genbank accession number; Table S4: Substitution models selected for each codon position of the two sequenced mitochondrial loci.

Author Contributions

Conceptualization, W.F., R.M. and M.H.; methodology, W.F., R.M., M.V. and M.H.; validation, W.F., R.M. and M.H.; formal analysis, W.F. and M.V.; investigation, W.F.; writing—original draft preparation, W.F., M.V. and M.H.; writing—review and editing, W.F., R.M. and M.H.; supervision, W.F. and M.H. All authors have read and agreed to the published version of the manuscript.

Funding

This research received funding from Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq—Brazil) under process number 445488/2014-0.

Data Availability Statement

The original contributions presented in this study are included in the article and in the Supplementary Material (SM) file. Genbank accession numbers are also presented in the SM. Further inquiries can be directed to the corresponding author.

Acknowledgments

We express our gratitude to the curators in charge of the entomological collections cited in the Materials and Methods section. We thank Eduardo A.B. Almeida for granting access to and use of the molecular laboratory under his care at Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto. MGH is supported by a research productivity scholarship provided by CNPq (process numbers 306882/2021-3 and 301987/2025-4).

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. Dayrat, B. Towards integrative taxonomy. Biol. J. Linn. Soc. 2005, 85, 407–415. [Google Scholar] [CrossRef]
  2. Will, K.W.; Mishler, B.D.; Wheeler, Q.D. The perils of DNA barcoding and the need for integrative taxonomy. Syst. Biol. 2005, 54, 844–851. [Google Scholar] [CrossRef]
  3. Schlick-Steiner, B.C.; Steiner, F.M.; Seifert, B.; Stauffer, C.; Christian, E.; Crozier, R.H. Integrative taxonomy: A multisource approach to exploring biodiversity. Annu. Rev. Entomol. 2010, 55, 421–438. [Google Scholar] [CrossRef] [PubMed]
  4. Yeates, D.K.; Seago, A.; Nelson, L.; Cameron, S.L.; Joseph, L.; Trueman, J.W. Integrative taxonomy, or iterative taxonomy? Syst. Entomol. 2011, 36, 209–217. [Google Scholar] [CrossRef]
  5. Gibbs, J. Integrative taxonomy identifies new (and old) species in the Lasioglossum (Dialictus) tegulare (Robertson) species group (Hymenoptera: Halictidae). Zootaxa 2009, 2032, 1–38. [Google Scholar] [CrossRef]
  6. Baur, H.; Kranz-Baltensperger, Y.; Cruaud, A.; Rasplus, J.Y.; Timokhov, A.V.; Gokhman, V.E. Morphometric analysis and taxonomic revision of Anisopteromalus Ruschka (Hymenoptera: Chalcidoidea: Pteromalidae)—An integrative approach. Syst. Entomol. 2014, 39, 691–709. [Google Scholar] [CrossRef]
  7. Neumeyer, R.; Baur, H.; Guex, G.D.; Praz, C. A new species of the paper wasp genus Polistes (Hymenoptera, Vespidae, Polistinae) in Europe revealed by morphometrics and molecular analyses. Zookeys 2014, 400, 67–118. [Google Scholar] [CrossRef]
  8. Schwarzfeld, M.D.; Sperling, F.A.H. Species delimitation using morphology, morphometrics, and molecules: Definition of the Ophion scutellaris Thomson species group, with descriptions of six new species (Hymenoptera, Ichneumonidae). Zookeys 2014, 462, 59–114. [Google Scholar] [CrossRef]
  9. Schmid-Egger, C.; van Achterberg, K.; Neumeyer, R.; Morinière, J.; Schmidt, S. Revision of the West Palaearctic Polistes Latreille, with the description of two species—An integrative approach using morphology and DNA barcodes (Hymenoptera, Vespidae). Zookeys 2017, 713, 53–112. [Google Scholar] [CrossRef]
  10. Zhang, Y.M.; Ridenbaugh, R.D.; Sharanowski, B.J. Integrative taxonomy improves understanding of native beneficial fauna: Revision of the Nearctic Peristenus pallipes complex (Hymenoptera: Braconidae) and implications for release of exotic biocontrol agents. Syst. Entomol. 2017, 42, 596–608. [Google Scholar] [CrossRef]
  11. Lopes, R.B.; Menezes, R.S.T. Synoeca ilheensis sp. nov., a new social wasp (Hymenoptera, Vespidae, Polistinae) from Brazilian lowland Atlantic Forest. Zootaxa 2017, 4300, 445–450. [Google Scholar] [CrossRef]
  12. Somavilla, A.; Barroso, P.C.S.; Aragão, M.; Mateus, S.; Menezes, R.S.T. An integrative taxonomic and phylogenetic approach reveals a new Neotropical swarm-founding social wasp, Pseudopolybia cryptica sp. n. (Vespidae: Polistinae: Epiponini). Arthropod Syst. Phylogeny 2021, 79, 25–35. [Google Scholar] [CrossRef]
  13. Barroso, P.C.S.; Menezes, R.S.T.; Oliveira, M.L.; Somavilla, A. A systematic review of the Neotropical social wasp genus Angiopolybia Araujo, 1946 (Hymenoptera: Vespidae): Species delimitation, morphological diagnosis, and geographical distribution. Arthropod Syst. Phylogeny 2022, 80, 75–97. [Google Scholar] [CrossRef]
  14. Giordani Soika, A. Revisione degli Eumenidi neotropicali appartenenti ai generi Pachymenes Sauss., Santamenes n. gen., Brachymenes G.S., Pseudacaromenes G.S., Stenosigma G.S. e Gamma Zav. (Hymenoptera). Boll. Mus. Civ. Stor. Nat. Venezia 1990, 39, 71–172. [Google Scholar]
  15. Grandinete, Y.C.; Hermes, M.G.; Noll, F.B. Systematics and phylogeny of the Neotropical Pachymenes de Saussure and Santamenes Giordani Soika (Hymenoptera, Vespidae, Eumeninae). Syst. Entomol. 2015, 40, 365–384. [Google Scholar] [CrossRef]
  16. Auko, T.H.; Silvestre, R. Composição faunística de vespas (Hymenoptera, Vespidae) na floresta estacional do Parque Nacional da Serra da Bodoquena, Brasil. Biota Neotrop. 2013, 13, 292–299. [Google Scholar] [CrossRef]
  17. Grandinete, Y.C.; Noll, F.B. Checklist of social (Polistinae) and solitary (Eumeninae) wasps from a fragment of Cerrado “campo sujo” in the State of Mato Grosso do Sul. Sociobiology 2013, 60, 101–106. [Google Scholar] [CrossRef]
  18. Carpenter, J.M. A review of the subspecies concepts in the eumenine genus Zeta (Hymenoptera, Vespidae). Psyche 1987, 94, 253–259. [Google Scholar] [CrossRef]
  19. Carpenter, J.M. Return to the subspecies concept in the genus Zeta (Hymenoptera: Vespidae; Eumeninae). Bol. Mus. Nac. Hist. Nat. Parag. 2003, 14, 19–24. Available online: https://www.bmnhnpy.com/_files/ugd/9904ce_f759ccb1cf7545088589d3ce8e0458ab.pdf (accessed on 26 December 2025).
  20. Padial, J.M.; Miralles, A.; De la Riva, I.; Vences, M. The integrative future of taxonomy. Front. Zool. 2010, 7, 16. [Google Scholar] [CrossRef]
  21. Padial, J.M.; De la Riva, I. A response to recente proposals for integrative taxonomy. Biol. J. Linn. Soc. 2010, 101, 747–756. [Google Scholar] [CrossRef]
  22. Simon, C.; Frati, F.; Beckenbach, A.; Crespi, B.; Liu, H.; Flook, P. Evolution, weighting, and phylogenetic utility of mitochondrial gene sequences and a compilation of conserved polymerase chain reaction primers. Ann. Entomol. Soc. 1994, 87, 651–701. [Google Scholar] [CrossRef]
  23. Kambhampati, S.; Smith, P.T. PCR primers for the amplification of four insect mitochondrial gene fragments. Insect. Mol. Biol. 1995, 4, 233–236. [Google Scholar] [CrossRef]
  24. Garnery, L.; Cornuet, J.M.; Solignac, M. Evolutionary history of the honey bee Apis mellifera inferred from mitochondrial DNA analysis. Mol. Ecol. 1992, 1, 145–154. [Google Scholar] [CrossRef] [PubMed]
  25. Saito, F.; Kojima, J. Phylogenetic analysis and biogeography of the nocturnal hornets, Provespa (Insecta: Hymenoptera: Vespidae: Vespinae). Species Divers. 2011, 16, 65–74. [Google Scholar] [CrossRef]
  26. Menezes, R.S.T.; Brady, S.G.; Carvalho, A.F.; Del Lama, M.A.; Costa, M.A. Molecular phylogeny and historical biogeography of the Neotropical swarm-founding social wasp genus Synoeca (Hymenoptera, Vespidae). PLoS ONE 2015, 10, e0119151. [Google Scholar] [CrossRef] [PubMed]
  27. Menezes, R.S.T.; Brady, S.G.; Carvalho, A.F.; Del Lama, M.A.; Costa, M.A. The roles of barriers, refugia, and chromosomal clines underlying diversification in Atlantic Forest social wasps. Sci. Rep. 2017, 7, 76–89. [Google Scholar] [CrossRef]
  28. Kearse, M.; Moir, R.; Wilson, A.; Stones-Havas, S.; Cheung, M.; Sturrock, S.; Buxton, S.; Cooper, S.; Markowitz, S.; Duran, C.; et al. Geneious Basic: An integrated and extendable desktop software platform for the organization and analysis of sequence data. Bioinformatics 2012, 28, 1647–1649. [Google Scholar] [CrossRef] [PubMed]
  29. Edgar, R.C. MUSCLE: Multiple sequence alignment with high accuracy and high throughput. Nucleic Acids Res. 2004, 32, 1792–1797. [Google Scholar] [CrossRef]
  30. Maddison, W.P.; Maddison, D.R. Mesquite: A Modular System for Phylogenetic Worflows and Analyses. Version 3.31. 2017. Available online: http://www.mesquiteproject.org (accessed on 1 May 2018).
  31. Lanfear, R.; Frandsen, P.B.; Wright, A.M.; Senfeld, T.; Calcott, B. PartitionFinder 2: New methods for selecting partitioned models of evolution for molecular and morphological phylogenetic analyses. Mol. Biol. Evol. 2016, 34, 772–773. [Google Scholar] [CrossRef]
  32. Fitch, W.M. Toward defining the course of evolution: Minimum change for a specific tree topology. Syst. Biol. 1971, 20, 406–416. [Google Scholar] [CrossRef]
  33. Goloboff, P.A.; Farris, J.S.; Nixon, K.C. TNT: Tree analysis using New Technology. Cladistics 2008, 24, 774–786. [Google Scholar] [CrossRef]
  34. Goloboff, P.A. Analyzing large data sets in reasonable times: Solutions for composite optima. Cladistics 1999, 15, 415–428. [Google Scholar] [CrossRef]
  35. Nixon, K.C. The Parsimony Ratchet, a new method for rapid parsimony analysis. Cladistics 1999, 15, 407–414. [Google Scholar] [CrossRef]
  36. Zwickl, D.J. Genetic Algorithm Approaches for the Phylogenetic Analysis of Large Biological Sequence Datasets Under the Maximum Likelihood Criterion. Ph.D. Dissertation, The University of Texas at Austin, Austin, TX, USA, 2006; pp. 1–115. Available online: http://www.zo.utexas.edu/faculty/antisense/zwicklDissertation.pdf (accessed on 26 December 2025).
  37. Swofford, D.L. PAUP*: Phylogenetic Analysis Using Parsimony (and Other Methods), Version 4; Sinauer Associates: Sunderland, UK, 2002. [Google Scholar]
  38. Ronquist, F.; Teslenko, M.; van der Mark, P.; Ayres, D.L.; Darling, A.; Höhna, S.; Larget, B.; Liu, L.; Suchard, M.A.; Huelsenbeck, J.P. MrBayes 3.2: Efficient Bayesian phylogenetic inference and model choice across a large model space. Syst. Biol. 2012, 61, 539–542. [Google Scholar] [CrossRef] [PubMed]
  39. Rambaut, A.; Drummond, A.J. Tracer v1.6. 2014. Available online: http://tree.bio.ed.ac.uk/software/tracer/ (accessed on 15 March 2008).
  40. Nixon, K.C. WinClada, Version 1.00.08; ScienceOpen: Berlin, Germany, 2002. [Google Scholar]
  41. Rambaut, A. FigTree v1.4.0. 2009. Available online: http://tree.bio.ed.ac.uk/software/figtree/ (accessed on 15 March 2008).
  42. Giordani Soika, A. Revisione degli Eumenidi neotropicali appartenenti ai generi Eumenes Latr., Omicron (Sauss.), Pararhaphidoglossa Schulth. Ed affini. Boll. Mus. Civ. Stor. Nat. Venezia 1978, 29, 1–420. [Google Scholar]
  43. Carpenter, J.M.; Garcete-Barrett, B.R. A key to the Neotropical genera of Eumeninae (Hymenoptera: Vespidae). Bol. Mus. Nac. Hist. Nat. Parag. 2003, 14, 52–73. [Google Scholar]
  44. Bitsch, J. Morphologie comparée des derniers segments du gastre et des genitalia mâles des Vespidae. 1. Sous-famille des Eumeninae (Hymenoptera). Bull. Soc. Entomol. Fr. 2012, 117, 199–218. [Google Scholar] [CrossRef]
  45. Richards, O.W. The Social Wasps of the Americas Excluding the Vespinae; British Museum (Natural History): London, UK, 1978; p. 580. [Google Scholar]
  46. Hijmans, R.J.; Phillips, S.; Leathwick, J.; Elith, J. dismo: Species Distribution Modeling, R package Version 1.1-4; CRAN: 2017. Available online: http://CRAN.R-project.org/package=dismo (accessed on 15 September 2025).
  47. Segurado, P.A.G.E.; Araújo, M.B.; Kunin, W.E. Consequences of spatial autocorrelation for niche-based models. J. Appl. Ecol. 2006, 43, 433–444. [Google Scholar] [CrossRef]
  48. Broennimann, O.; Fitzpatrick, M.C.; Pearman, P.B.; Petitpierre, B.; Pellissier, L.; Yoccoz, N.G.; Thuiller, W.; Fortin, M.-J.; Randin, C.; Zimmermann, N.E.; et al. Measuring ecological niche overlap from occurrence and spatial environmental data. Glob. Ecol. Biogeogr. 2012, 21, 481–497. [Google Scholar] [CrossRef]
  49. Di Cola, V.; Broennimann, O.; Petitpierre, B.; Breiner, F.T.; D’Amen, M.; Randin, C.; Engler, R.; Pottier, J.; Pio, D.; Dubuis, A.; et al. ecospat: An R package to support spatial analyses and modeling of species niches and distributions. Ecography 2017, 40, 774–787. [Google Scholar] [CrossRef]
  50. Rödder, D.; Engler, J.O. Quantitative metrics of overlaps in Grinnellian niches: Advances and possible drawbacks. Glob. Ecol. Biogeogr. 2011, 20, 915–927. [Google Scholar] [CrossRef]
  51. Warren, D.L.; Glor, R.E.; Turelli, M. Environmental niche equivalency versus conservatism: Quantitative approaches to niche evolution. Evolution 2008, 62, 2868–2883. [Google Scholar] [CrossRef] [PubMed]
  52. Carnaval, A.C.; Hickerson, M.J.; Haddad, C.F.B.; Rodrigues, M.T.; Moritz, C. Stability predicts genetic diversity in the Brazilian Atlantic Forest hotspot. Science 2009, 323, 785–789. [Google Scholar] [CrossRef]
  53. Carvalho, M.R.; Bockman, F.A.; Amorim, D.S.; Brandâo, C.R.F.; de Vivo, M.; Figueiredo, J.L.; Britski, H.A.; de Pinna, M.C.C.; Menezes, N.A.; Marques, F.P.L.; et al. Taxonomic impediment or impediment to taxonomy? A commentary on systematics and the cybertaxonomic-automation paradigm. Evol. Biol. 2007, 34, 140–143. [Google Scholar] [CrossRef]
  54. Carvalho, M.R.; Bockman, F.A.; Amorim, D.S.; Brandão, C.R.F. Systematics must embrace biology and evolution, not speed and automation. Evol. Biol. 2008, 35, 150–157. [Google Scholar] [CrossRef]
  55. DeSalle, R. Species discovery versus species identification in DNA barcoding efforts: Response to Rubinoff. Conserv. Biol. 2006, 20, 1545–1547. [Google Scholar] [CrossRef] [PubMed]
  56. Goulding, T.C.; Dayrat, B. Integrative taxonomy: Ten years of practice and looking into the future. Arch. Zool. Mus. Mosc. Univ. 2016, 54, 116–133. [Google Scholar]
  57. De Queiroz, K. The general lineage concept of species, species criteria, and the process of speciation. In Endless Forms: Species and Speciation; Howard, D.J., Berlocher, S.H., Eds.; Oxford University Press: Oxford, UK, 1998; pp. 57–75. [Google Scholar]
  58. De Queiroz, K. Species concepts and species delimitation. Syst. Biol. 2007, 56, 879–886. [Google Scholar] [CrossRef]
  59. Mishler, B.D.; Theriot, E.C. The phylogenetic species concept (sensu Mishler and Theriot): Monophyly, apomorphy, and phylogenetic species concepts. In Species Concepts and Phylogenetic Theory: A Debate; Wheeler, Q.D., Meier, R., Eds.; Columbia University Press: New York, NY, USA, 2000; pp. 44–54. Available online: https://www.researchgate.net/publication/247609844_Species_Concepts_and_Phylogenetic_Theory (accessed on 24 January 2025).
  60. Edwards, S.V. Is a new and general theory of molecular systematics emerging? Evolution 2009, 63, 1–19. [Google Scholar] [CrossRef]
  61. Menezes, R.S.T.; Noll, F.B.; Aragão, M.; Hermes, M.G.; Brady, S.G. Phylomitogenomics reveals mito-nuclear concordance in social wasps: The performance of mitochondrial markers and gene order for hymenopteran systematics. Syst. Entomol. 2024, 49, 15–27. [Google Scholar] [CrossRef]
  62. Mitchell, A. Collecting in collections: A PCR strategy and primer set for DNA barcoding of decades-old dried museum specimens. Mol. Ecol. Resour. 2015, 15, 1102–1111. [Google Scholar] [CrossRef] [PubMed]
Insects 17 00078 g001
Figure 1. Strict consensus of five equally parsimonious cladograms (length = 306; consistency index = 0.90; retention index = 0.96) based on equal character weighting of the concatenated dataset (COI + COII). Support values were estimated using bootstrap (1000 replicates). Black circles represent synapomorphies; white circles represent homoplasies.
Figure 1. Strict consensus of five equally parsimonious cladograms (length = 306; consistency index = 0.90; retention index = 0.96) based on equal character weighting of the concatenated dataset (COI + COII). Support values were estimated using bootstrap (1000 replicates). Black circles represent synapomorphies; white circles represent homoplasies.
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Insects 17 00078 g002
Figure 2. Maximum likelihood phylogeny based on 1089 bp of mitochondrial genes COI and COII. Numbers on branches indicate bootstrap support.
Figure 2. Maximum likelihood phylogeny based on 1089 bp of mitochondrial genes COI and COII. Numbers on branches indicate bootstrap support.
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Insects 17 00078 g003
Figure 3. Bayesian inference phylogeny based on 1089 bp of mitochondrial genes COI and COII. Numbers on branches indicate posterior probability values.
Figure 3. Bayesian inference phylogeny based on 1089 bp of mitochondrial genes COI and COII. Numbers on branches indicate posterior probability values.
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Insects 17 00078 g004
Figure 4. Diagnostic structures for the identification of Pachymenes ater de Saussure and Pachymenes ghilianii (Spinola): (A,B) Head, frontal view. (C,D) Clypeus, lateral margin. (E,F) Pronotum, dorsal view. (A,C,E): P. ater; (B,D,F): P. ghilianii. Scale bars: 0.5 mm (A,B,E,F); 0.2 mm (C,D).
Figure 4. Diagnostic structures for the identification of Pachymenes ater de Saussure and Pachymenes ghilianii (Spinola): (A,B) Head, frontal view. (C,D) Clypeus, lateral margin. (E,F) Pronotum, dorsal view. (A,C,E): P. ater; (B,D,F): P. ghilianii. Scale bars: 0.5 mm (A,B,E,F); 0.2 mm (C,D).
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Insects 17 00078 g005
Figure 5. Male genitalia: gonocoxite and volsela. (A). P. ater; (B). P. ghilianii. Scale bars: 0.5 mm.
Figure 5. Male genitalia: gonocoxite and volsela. (A). P. ater; (B). P. ghilianii. Scale bars: 0.5 mm.
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Insects 17 00078 g006
Figure 6. Variation in the presence of punctation on the first metasomal tergum: (A–C). Pachymenes ater de Saussure—(A). incipient punctation; (B,C). punctation present. (D,E). Pachymenes ghilianii (Spinola)—(D). punctation absent; (E). incipient punctation. Scale bars: 0.5 mm.
Figure 6. Variation in the presence of punctation on the first metasomal tergum: (A–C). Pachymenes ater de Saussure—(A). incipient punctation; (B,C). punctation present. (D,E). Pachymenes ghilianii (Spinola)—(D). punctation absent; (E). incipient punctation. Scale bars: 0.5 mm.
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Insects 17 00078 g007
Figure 7. The minimum convex polygon encompassing all occurrences and buffered by 100 km for Pachymenes ater and P. ghilianii.
Figure 7. The minimum convex polygon encompassing all occurrences and buffered by 100 km for Pachymenes ater and P. ghilianii.
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Insects 17 00078 g008
Figure 8. Color variation, habitus: (A). Pachymenes ater de Saussure; (B–E). Pachymenes ghilianii (Spinola). Scale bars: 2 mm.
Figure 8. Color variation, habitus: (A). Pachymenes ater de Saussure; (B–E). Pachymenes ghilianii (Spinola). Scale bars: 2 mm.
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Table 1. Morphological differences between Pachymenes ghilianii (Spinola) and Pachymenes ater de Saussure. Characters that allow unequivocal identification of the two species are highlighted with an asterisk.
Table 1. Morphological differences between Pachymenes ghilianii (Spinola) and Pachymenes ater de Saussure. Characters that allow unequivocal identification of the two species are highlighted with an asterisk.
Morphological FeaturesCharacter States
Pachymenes aterPachymenes ghilianii
Pronotal carina *Weakly developedPresent along the entire dorsal surface
Sculpture of T1Coarse punctuation apically at middleSmooth, with inconspicuous punctures
Outer margin of male clypeus, lateral view *TruncateAcutely angled
Projection on gonocoxite *Two to five apical projectionsWith one simple apical projection
Setae on digitus *LongShort
Table 2. Niche overlap and hypothesis tests in PCA-env for two predictor setups: A, five variables (BIO01, BIO02, BIO03, BIO12 and BIO15) and B, two variables (BIO01 and BIO12). The table reports Schoener’s D, p-values for the niche equivalence test, directional niche similarity (A?B and B?A), and the proportion of variance explained by PC1, PC2 and PC1 + PC2. Non-significant p-values indicate no evidence against the corresponding null hypotheses.
Table 2. Niche overlap and hypothesis tests in PCA-env for two predictor setups: A, five variables (BIO01, BIO02, BIO03, BIO12 and BIO15) and B, two variables (BIO01 and BIO12). The table reports Schoener’s D, p-values for the niche equivalence test, directional niche similarity (A?B and B?A), and the proportion of variance explained by PC1, PC2 and PC1 + PC2. Non-significant p-values indicate no evidence against the corresponding null hypotheses.
SetupSchoener’s DEquivalence pSimilarity p (A-B)Similarity (B-A)PC1
Percent		PC2
Percent		PC1 + PC2 Percent
A0.3820330.524950.3740520.38383244.34135425.85606170.197415
B0.1441460.6015970.5984030.60818470.58951529.410485100
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Ferreira, W.; Menezes, R.; Viana, M.; Hermes, M. Integrative Taxonomy Clarifies Species Limits in Two Closely Related Solitary Wasps: Pachymenes ater and Pachymenes ghilianii (Hymenoptera: Vespidae: Eumeninae). Insects 2026, 17, 78. https://doi.org/10.3390/insects17010078

AMA Style

Ferreira W, Menezes R, Viana M, Hermes M. Integrative Taxonomy Clarifies Species Limits in Two Closely Related Solitary Wasps: Pachymenes ater and Pachymenes ghilianii (Hymenoptera: Vespidae: Eumeninae). Insects. 2026; 17(1):78. https://doi.org/10.3390/insects17010078

Chicago/Turabian Style

Ferreira, Wellington, Rodolpho Menezes, Matheus Viana, and Marcel Hermes. 2026. "Integrative Taxonomy Clarifies Species Limits in Two Closely Related Solitary Wasps: Pachymenes ater and Pachymenes ghilianii (Hymenoptera: Vespidae: Eumeninae)" Insects 17, no. 1: 78. https://doi.org/10.3390/insects17010078

APA Style

Ferreira, W., Menezes, R., Viana, M., & Hermes, M. (2026). Integrative Taxonomy Clarifies Species Limits in Two Closely Related Solitary Wasps: Pachymenes ater and Pachymenes ghilianii (Hymenoptera: Vespidae: Eumeninae). Insects, 17(1), 78. https://doi.org/10.3390/insects17010078

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