Skip to main content
Advertisement
Browse Subject Areas
?

Click through the PLOS taxonomy to find articles in your field.

For more information about PLOS Subject Areas, click here.

  • Loading metrics

Evaluation of three molecular markers for identification of European primary parasitoids of cereal aphids and their hyperparasitoids

Abstract

Aphids are major pests of cereal crops and a suite of hymenopteran primary parasitoids play an important role in regulating their populations. However, hyperparasitoids may disrupt the biocontrol services provided by primary parasitoids. As such, understanding cereal aphid-primary parasitoid-hyperparasitoid interactions is vital for a reliable parasitoid-based control of cereal aphids. For this, the ability to identify the different primary and hyperparasitoid species is necessary. Unfortunately, this is often difficult due to a lack of morphologically diagnostic features. DNA sequence-based species identification of parasitoids can overcome these hurdles. However, comprehensive DNA sequence information is lacking for many of these groups, particularly for hyperparasitoids. Here we evaluate three genes [cytochrome c oxidase subunit I (COI), 16S ribosomal RNA (16S) and 18S ribosomal RNA (18S)] for their suitability to identify 24 species of primary parasitoids and 16 species of hyperparasitoids associated with European cereal aphids. To identify aphelinid primary parasitoid species and hyperparasitoids, we found 16S to be more suitable compared to COI sequences. In contrast, the Aphidiinae are best identified using COI due to better species-level resolution and a more comprehensive DNA sequence database compared to 16S. The 18S gene was better suited for group-specific identification of parasitoids, but did not provide resolution at the species level. Our results provide a DNA sequence database for cereal aphid primary parasitoids and their associated hyperparasitoids in Central Europe, which will allow further improvement of our understanding of cereal aphid-primary parasitoid-hyperparasitoid interactions in relation to aphid biological control.

Introduction

Hymenopteran endoparasitoids play an important role in biological control programmes targeting aphids and other pests in both field and greenhouse crops [1]. Cereal aphids, namely the English grain aphid Sitobion avenae, the bird cherry-oat aphid Rhopalosiphum padi, and rose-grain aphid Metopolophium dirhodum, have been one of the most important pests in cereal production areas over the last 30 years in Europe and elsewhere [2]. These three aphid species are attacked by a suite of natural enemies including ground and vegetation dwelling predators and various groups of hymenopteran primary parasitoids [3]. Most species within these parasitic wasps belong to the braconid subfamily Aphidiinae (Hymenoptera: Braconidae). In addition, several species within the Aphelinidae in the genus Aphelinus are known to attack cereal aphids [1]. It has been shown that the top-down control of these natural enemy complexes can substantially decrease densities of aphids in cereals and that primary parasitoids, along with flying predators, can exert the strongest biocontrol among animal natural enemies [4,5]. However, cereal aphid primary parasitoids are frequently attacked by hyperparasitoids [69], including the more specialized “true hyperparasitoids” that attack living parasitized aphids and the “mummy parasitoids” which usually parasitize the aphids after mummification [10,11]. The primary parasitoid mortality caused by hyperparasitoids decreases the efficacy of the biocontrol services exerted by aphid primary parasitoids, sometimes significantly [6,1214]. Therefore, hyperparasitoids can play an important role in shaping the levels of aphid primary parasitoid biological control.

Accurate morphological identification of parasitoid species has been a major difficulty in biological control and community ecology studies [15]. Aphid parasitoids are small insects with a body length of typically 2–3 mm, leading to a very restricted number of morphological characters available for reliable species identification [16]. Although there are taxonomic identification keys based on morphological characters parasitoid adults, they are difficult to use and morphological identification remains problematic for non-specialist [10,1719]. This is especially true for hyperparasitoids which belong to taxonomically diverse and highly speciose groups, whose identification is even more problematic due to their small size and reduced wing venation patterns [20]. Together with common cases of cryptic speciation, this leads to considerable problems in morphological identification and an underestimation of the species richness of hyperparasitoids and their species-specific role in ecosystems [21]. Additionally, the identification of immature parasitoids in hosts is difficult and often impossible due to a lack of morphologically-distinguishing characteristics of the egg and larval stages [15,22,23]. DNA sequence-based identification can overcome these difficulties and does not require specialized taxonomic expertise [24,25]. Molecular approaches are unaffected by delayed parasitoid emergence, host and parasitoid mortality, and can be applied for each developmental stage [2527]. Moreover, they allow for species-specific examination of trophic interactions between primary parasitoids (e.g., multiparasitism) and between primary and secondary parasitoids (e.g., hyperparasitism)–often in a single reaction [8,15,28,29]. In aphid-parasitoid systems, recently established molecular approaches for generating diagnostic DNA sequence regions of primary and secondary parasitoids [30,31] provide a strong basis for a DNA-barcoding approach for primary and secondary parasitoid species identification in their aphid hosts. The most widely used barcoding gene in animals is the 5’ end of the cytochrome c oxidase subunit I gene (COI) [32], which has proven effective for the identification of taxa where morphological identification is difficult or impossible [24]. Although an extensive number of COI DNA sequences for members of the Aphidiinae have recently been generated [33], COI sequences are still unavailable for several aphidiid and aphelinid primary parasitoids of cereal aphids, as well as their associated hyperparasitoid species. In contrast, Derocles et al. [30] have provided a comprehensive molecular barcoding approach for Aphidiinae species based on the 16S ribosomal RNA gene (16S). However, there is a lack of DNA sequence information for primary parasitoids within the genus Aphelinus and for hyperparasitoids in general [34]. Likewise, there is only limited sequence information from the 18S ribosomal RNA (18S) gene for cereal aphid primary parasitoids and their hyperparasitoids. The 18S rRNA gene is generally more suitable for identification at higher taxonomic levels [3537] and thus might be of interest for designing group-specific molecular markers. A comprehensive database of COI, 16S, and 18S sequences for cereal aphid parasitoids, especially Aphelinus species and hyperparasitoids is urgently needed.

In this study we generated DNA sequences for COI, 16S and 18S genes of hyperparasitoids, as well as additional aphelinid and aphidiid parasitoids of cereal aphids that have not been covered in previous research [30]. Newly-generated sequence data and publicly-available sequence data for these species were used to evaluate the suitability of the COI, 16S and 18S genes for the development of molecular markers to identify parasitoid and hyperparasitoid species associated with cereal aphids. Additionally, the intra- and interspecific variability of these molecular markers was assessed for both primary and hyperparasitoids across different insect groups [38], which has never been assessed so far.

Materials and methods

Collection of parasitoids for analysis

The aphid and parasitoid samples in present study were collected from the locations, where no specific permissions were required. The samples did not involve endangered or protected species. Adult specimens of 43 species of cereal aphid primary parasitoids and their hyperparasitoids were collected from different locations in Europe (Table 1; specimen information/providers and taxonomic authorities are provided in S1 and S2 Tables). In addition, three species of primary parasitoids (Aphelinus mali, Aphidius microlophii and Monoctonus crepidis) that do not parasitise cereal aphids, but can be found in cereal fields due to non-cereal aphid hosts occurring on uncultivated plants within or around cereal crops, were also collected and included. Two cereal aphid parasitoid species, Aphelinus abdominalis and Aphidius colemani, which were not found in the field, were purchased from biocontrol production facilities (Sautter & Stepper GmbH Ammerbuch, Germany and Katz Biotech AG Baruth, Germany, respectively). Similarly, DNA extracts of Toxares deltiger and Praon necans were obtained from a previous study (provided by Prof. Zeljko Tomanovic, University of Belgrade, Serbia). The parasitoid adults were individually stored in 98% ethanol and morphologically identified by specialists using multiple taxonomic keys [17,3952]. In total, 5 species of Aphelinidae, 23 species Aphidiidae, and 16 species of hyperparasitoids (belonging to several families) were obtained for analysis (see S1 and S2 Tables).

thumbnail
Table 1. Aphelinidae, Aphidiinae and hyperparasitoid species considered in this study.

For each species the number of COI, 16S and 18S sequences generated from adult parasitoids is provided. Non-cereal aphid parasitoids are marked with *; parasitoid species which attack cereal aphids on their winter host plant are marked with **.

https://doi.org/10.1371/journal.pone.0177376.t001

DNA extraction, PCR and sequencing

To keep the morphological features of the individuals intact, all parasitoids were non-destructively incubated in a solution made up of 180 μl ATL buffer (Qiagen, Hilden, Germany) and 20 μl proteinase K (20 mgml-1, AppliChem, Darmstadt, Germany) at 56°C for 2 h. Thereafter, the parasitoid was removed from the buffer-proteinase K solution, and DNA was extracted from the solution using the DNeasy Blood & Tissue Kit (Qiagen) following the manufacturer’s instructions. Within every batch of 48 samples, two extraction negative controls were included to check for potential DNA cross-contamination. These negative DNA extraction controls were tested using universal PCR primers using the conditions described below. All of these controls were negative.

A ~708 bp fragment of the COI gene was amplified and sequenced from the parasitoid DNA the using the universal invertebrate primers LCO-1490 and HCO-2198 [53]. Specimens which could not be amplified with these primers (mostly specimens which were stored dry for several years before being transferred into ethanol) were subjected to a PCR and sequenced using the general invertebrate forward primer C1-J-1859 [54] and the reverse primer HCO-2198 [53], yielding a ~339 bp fragment. Due to the short length of these ~339 bp amplicons (compared with the commonly used ~708 bp amplicons), these short sequences were submitted to GenBank but were not used for the analysis in this study. From the 16S rDNA, a ~381 bp fragment [30] was generated using the primer LR-N-13398 version ‘5’-CGCCGTTTTATCAAAAACATGT-3” [55], and LR-J-13017 [56]. Since we could not amplify this fragment of every parasitoid species in this study, also another ~510 bp 16S fragment was amplified and sequenced using the general primers LR-N13398 version ‘5’-CACCTGTTTATCAAAAACAT-3” [54] and LR-J12888 version ‘5’-TCGATTTGAACTCARATCATGTA-3” [57], respectively. From the nuclear 18S-rRNA gene a ~1100 bp amplicon was sequenced using the general primers 18SL0001 and 18SR1100 [58]. Each 10 μl PCR contained 1.5 μl DNA extract, 5 μl 2× Multiplex PCR Master Mix (Qiagen), 1 μM of each of the respective primers and PCR-grade water to adjust the volume. The PCRs were carried out in a Master Cycler Gradient (Eppendorf, Hamburg, Germany) at 95°C for 15 min, followed by 35 cycles of 94°C for 30 s, 50°C for 90 s, 72°C for 60 s, and a final extension of 72°C for 10 min. PCR products were stained with 1 × GelRed (Biotium, Hayward, USA) and visualized on 1.5% agarose gels, purified with ExoSap-IT (Amersham Biosciences, Glattbrugg, Switzerland) following the manufacturer’s instructions, and sent to Eurofins MWG Operon (Ebersberg, Germany) for bidirectional sequencing. The DNA sequences were assembled, checked and edited using BioEdit sequence alignment editor 7.0.0 [59] and aligned using MUSCLE in MEGA6 [60]. COI sequences were aligned as codons to detect frameshift mutation and premature stop codons, which may indicate pseudogenes. COI sequences for Aphidius matricariae and Binodoxys angelicae were provide by Prof. Zeljko Tomanovic, and all publicly-available DNA sequences for the parasitoid species and genes of interest on Genbank were aligned with the sequences generated in the present study.

Data and distance analyses

As primary parasitoids of the genus Aphelinus are in the same superfamily (Hymenoptera: Chalcidoidea) as hyperparasitoids of the genera Asaphes, Pachyneuron, Coruna and Syrphophagus, the evaluation and analysis of the three genes was conducted for two separate groups: 1. Aphidiinae and 2. non-Aphidiinae, the latter comprising the hyperparasitoids and the aphelinid primary parasitoids of the genus Aphelinus.

As some hyperparasitoid and aphelinid species are not frequently sampled and many of them have never been studied by molecular analysis, only one or two specimens and DNA sequences were obtained. Additionally, the number of available 16S and 18S DNA sequences for these infrequently sampled species was significantly lower than for the COI gene. Therefore, the suitability of the COI, 16S and 18S sequences as molecular markers for identifying parasitoid species within hyperparasitoids and aphelinids was assessed using the following approach: DNA sequence distances were calculated using a K2P distance model in MEGA6 [60]. First, the species-pairs with identical DNA sequences were listed. Second, maximum within species distance (Max-WSD) versus minimum between species distance (Min-BSD) of each gene for each species pair was plotted [38]. The species-pairs without a conservative “barcoding gap”, i.e., those species where the Max-WSD was higher than the Min-BSD, were counted as difficult to be identified using the DNA sequence (c.f. Hebert et al. [61]; Hebert et al. [32]; Valentini et al. [24]). Such species-pairs are very difficult or impossible to be correctly identified via their DNA sequences. Those species, for which only one DNA sequence was obtained, were excluded from the analysis because no within species distances could be calculated.

Additionally, overall Max-WSD of each gene within each of the two groups was calculated. The species-pairs, exhibiting a smaller Min-BSD than the overall Max-WSD, were counted and listed. When the overall Max-WSD was used as a conservative cut-off point to identify a species within its respective group, these species-pairs are more likely to be misidentified via the DNA sequencing approach. Furthermore, neighbour joining trees of each group based on the K2P distances of COI and 16S gene were generated using MEGA6 [60] with 2,000 bootstraps.

Results

DNA extraction, PCR and sequencing

In total, 14, 26, and 80 ~658 bp COI sequences of five aphelinid, ten hyperparasitoid and 21 aphidiid species were obtained, respectively. For Dendrocerus carpenteri, Dendrocerus laticeps, Pachyneuron formosum and Syrphophagus aphidivorus only ~288 bp COI sequences could be generated. For 16S, 11 and 39 DNA sequences of five aphelinid and 14 hyperparasitoid species, respectively, were obtained. As a comprehensive 16S sequence database for the aphidiids has been generated previously [30], only a few additional DNA sequences were generated in the present study (i.e. 19 sequences for 10 species). For 18S, 53, eight and 35 DNA sequences were obtained from 21 aphidiid, five aphelinid and 14 hyperparasitoid species, respectively (Table 1; GenBank accession number see S2 Table).

For evaluation of the COI gene as a molecular marker, only the ~658 bp DNA sequences were used, as the shorter fragments do not provide enough diagnostic characters for analysis. For 16S, all 468 bp and 342 bp DNA sequences were aligned and the 342 bp long region resulting from the overlap of these two fragments was used for further analyses. To supplement the newly generated DNA sequences, 124, 71 and 3 sequences of COI, 16S and 18S were retrieved from GenBank, respectively (Table 2; GenBank accession number see S3 Table). Of all the COI sequences used in our analyses, 59.7% (40 DNA sequences) and 45.2% (80 DNA sequences) from non-Aphidiinae (Aphelinus/hyperparasitoid) and Aphidiinae species, respectively, were generated during this study. For 16S, 94.3% (50 DNA sequences) and 22.1% (19 DNA sequences) of the non-Aphidiinae and Aphidiinae DNA sequences were generated here. Similarly, for 18S, 97.7% (43 DNA sequences; non-Aphidiinae) and 96.4% (53 DNA sequences; Aphidiinae) were generated in the present study (Table 2).

thumbnail
Table 2. Aphelinidae, Aphidiinae and hyperparasitoid species considered in this study.

For each species the number of COI, 16S and 18S sequences generated from adult parasitoids and retrieved from GenBank is provided. Non-cereal aphid parasitoids are marked with *; parasitoid species which attack cereal aphids on their winter plant host are marked with **.

https://doi.org/10.1371/journal.pone.0177376.t002

Distance analyses

The overall within species K2P distances of COI, 16S and 18S in the non-Aphidiinae were 0.00–0.17 (0.03mean ± 0.004se), 0.00–0.02 (0.003mean ± 0.0008se) and 0.00–0.01 (0.001mean ± 0.0005se), respectively, whereas in the Aphidiinae they were 0.00–0.08 (0.006mean ± 0.0002se), 0.00–0.02 (0.003mean ± 0.0004se) and 0.00, respectively. The between species distances of COI, 16S and 18S in the non-Aphidiinae were 0.02–0.42 (0.22mean ± 0.001se), 0.01–0.40 (0.19mean ± 0.002se), and 0.00–0.08 (0.03mean ± 0.0005se), respectively, and for species of the Aphidiinae group 0.00–0.26 (0.13mean ± 0.0004se), 0.00–0.15 (0.08mean ± 0.0006se), and 0.00–0.06 (0.03mean ± 0.0005se), respectively.

In the non-Aphidiinae, the COI and 16S sequences were different for all species investigated. In contrast, five species groups, including 13 species, showed no difference in their 18S rDNA sequences within species groups (Table 3). In the Aphidiinae, two groups of species, Aphidius ervi/Aphidius microlophii and Praon abjectum/Praon volucre, had identical COI sequences within each group. For 16S, the same was true for the groups, A. ervi/A. microlophii/Aphidius rhopalosiphi and P. abjectum/P. volucre, while for 18S five groups, comprising 15 species, showed the same sequences for this gene within each of the group (Table 3).

thumbnail
Table 3. Parasitoid species-groups that have identical sequences in COI, 16S and 18S within Aphidiinae and non-Aphidiinae (Aphelinus/hyperparasitoids) parasitoids.

Non-cereal aphid parasitoids are marked with *; parasitoid species which attack cereal aphids on their winter plant host are marked with **.

https://doi.org/10.1371/journal.pone.0177376.t003

A barcoding gap between all species within the non-Aphidiinae group was found for 16S (n = 120), whereas there were species pairs lacking such a gap for COI and 18S (6.59%, n = 91 and 10.5%, n = 105, respectively). Within the Aphidiinae, compared to COI (3.33%, n = 210), a higher percentage of species-pairs had no barcoding gap on 16S (5.26%, n = 190). For 18S the species pairs which showed no barcoding gap was 10.5% (n = 172) (Fig 1). Species-pairs with a Min-BSD smaller than the overall Max-WSD within the non-Aphidiinae was 0.95% (n = 210) for 16S, compared to 36.5% (n = 211) and 22.6% (n = 190) for COI and 18S, respectively. Within the Aphidiinae this relationship was found for 8.66% (n = 231), 13.4% (n = 253), and 9.48% (n = 232) for 16S, COI, and 18S, respectively (Fig 1). In the neighbour joining tree, the COI and 16S sequences of non-Aphidiinae group clustered according to the morphologically assigned species. However, for COI the clade of Asaphes vulgaris, which had an average within species distance of 0.09, was not differentiated from Asaphes suspensus (Figs 2 and 3). For the Aphidiinae group, A. ervi/A. microlophii and P. abjectum/P. volucre were in the same clades, respectively, for both the COI and 16S sequences (Figs 4 and 5).

thumbnail
Fig 1. Comparison of maximum within species distance (Max-WSD; X-axis) and minimum between species distance (Min-BSD, Y-axis) of non-Aphidiinae (aphelinid/hyperparasitoid) and Aphidiinae parasitoids for COI, 16S and 18S gene sequences.

The percentages of species-pairs which have a Min-BSD smaller than the Max-WSD (“No barcoding gap”) and a Min-BSD smaller than the overall Max-WSD (“Min-BSD ≤ overall Max-WSD”) are shown. Points above the diagonal represent cases where the species pairs have barcoding gap.

https://doi.org/10.1371/journal.pone.0177376.g001

thumbnail
Fig 2. Neighbour joining tree of the non-Aphidiinae parasitoids based on sequences of the 5’-region of the cytochrome c oxidase I gene (COI).

Bootstrap values (≥ 70%) are indicated on branches. Species abbreviations: Alloxysta brachyptera (ALbra), Alloxysta brevis (ALbre), Alloxysta fulviceps (ALful), Alloxysta pedestris (ALped), Alloxysta victrix (ALvic), Alloxysta sp.A (ALspA), Alloxysta sp.B (ALspB), Alloxysta sp.C (ALspC), Aphelinus abdominalis (AEabd), Aphelinus asychis (AEasy), Aphelinus chaonia (AEcha), Aphelinus mali (AEmal), Aphelinus varipes (AEvar), Asaphes vulgaris (ASvul), Asaphes suspensus (ASsus), Coruna clavata (COcla), Dendrocerus carpenteri (DEcar), Dendrocerus laticeps (DElat), Pachyneuron aphidis (PAaph), Pachyneuron formosum (PAfor), Pachyneuron muscarum (PAmus), Pachyneuron solitarium (PAsol), Phaenoglyphis villosa (PHvil) and Syrphophagus aphidivorus (SYaph). Last letter in the specimen code indicates whether sequencing was done in both directions (“B”) or just one direction (“S”—sense strand, “A” antisense stand).

https://doi.org/10.1371/journal.pone.0177376.g002

thumbnail
Fig 3. Neighbour joining tree of the non-Aphidiinae parasitoids based on sequences of the 16S ribosomal RNA gene.

Bootstrap values (≥ 70%) are indicated on branches. Species abbreviations see Fig 2.

https://doi.org/10.1371/journal.pone.0177376.g003

thumbnail
Fig 4. Neighbour joining tree of parasitoid species within the Aphidiinae based on sequences of the 5’-region of the cytochrome c oxidase I gene (COI).

Bootstrap values (≥ 70%) are indicated on branches. Identical sequences and subtrees with all bootstrap values less than 70% within one species were clustered. Numbers in parentheses refer to the number of sequences include in each cluster. Species abbreviations: Adialytus ambiguus (ADamb), Aphidius avenae (APave), Aphidius colemani (APcol), Aphidius ervi (APerv), Aphidius matricariae (APmat), Aphidius microlophii (APmic), Aphidius rhopalosiphi (APrho), Aphidius uzbekistanicus (APuzb), Binodoxys angelicae (BIang), Diaeretiella rapae (DIrap), Ephedrus persicae (EPper) Ephedrus plagiator (EPpla), Lipolexis gracilis (LIgra), Lysiphlebus fabarum (LYfab), Lysiphlebus testaceipes (LYtes), Monoctonus crepidis (MOcre), Praon abjectum (PRabj), Praon gallicum (PRgal), Praon necans (PRnec), Praon volucre (PRvol), Toxares deltiger (TOdel), Trioxys auctus (TRaus) and Trioxys sp. A (TRspA). Last letter in the specimen code indicates whether sequencing was done in both directions (“B”) or just one direction (“S”—sense strand, “A”—antisense stand).

https://doi.org/10.1371/journal.pone.0177376.g004

thumbnail
Fig 5. Neighbour joining tree of parasitoid species within the Aphidiinae based on 16S ribosomal RNA gene sequences.

Bootstrap values (≥ 70%) are indicated on branches. Species abbreviations see Fig 4.

https://doi.org/10.1371/journal.pone.0177376.g005

Discussion

The present study provides new possibilities for species identification in cereal aphid primary parasitoids and their hyperparasitoids in Central Europe. We significantly increased the publicly-available 16S and 18S sequence information, especially for species of the genus Aphelinus and for hyperparasitoids associated with aphid primary parasitoids. Moreover, the COI sequence information for aphidiid and non-aphidiid parasitoid taxa has been significantly expanded by the sequence data generated in the present study. Altogether, a DNA sequence database for COI, 16S and 18S of 24 and 16 cereal aphid primary parasitoid and hyperparasitoid species, respectively, is now publicly available (Genbank accession numbers see S2 and S3 Tables). However, for the two hyperparasitoid species Syrphophagus aphidivorus and Alloxysta brachyptera, no 16S and 18S sequence information, respectively, could be generated. In addition, for the two hyperparasitoid species D. laticeps and P. formosum, only a short part (~288 bp) of the COI barcoding sequence could be obtained.

In general, the COI and 16S sequence fragments are more suitable for species identification compared with the 18S sequences which were found to be most conserved among the parasitoid species investigated. This is not surprising as this gene region maintains the secondary structure of rRNA molecules and therefore a low sequence variability is expected [62,63]. Additionally, mitochondrial genes evolve faster than nuclear ones such as 18S [54,62]. Due to its reduced interspecific sequence variability the 18S gene is less suitable for species-specific detection and identification of parasitoids, but may represent an interesting target for group specific detection and identification, as well as phylogeny at higher taxonomic level [62]. As there are more copies of the mitochondrial COI and 16S genes per cell compared to the nuclear 18S gene, mitochondrial DNA fragments have a higher chance to be amplified, even from degraded tissues of long-term stored insects [63]. Consequently, COI and 16S genes have been widely used for molecular detection and identification of parasitoids [31,34], However, mitochondrial genes are usually strongly associated with maternal inheritance, which can lead to an intraspecific overestimate of the distance by disequilibria selection of females and maternally inherited symbionts. On the other hand, interspecific hybridization and symbiont infections also transfer mitochondrial genes among evolutionary groups, leading an underestimate of interspecific distance [64]. Nevertheless, mitochondrial genes are suitable targets for species detection and identification [32].

From some rarely sampled species only one or two sequences could be obtained. This low sample number should be taken into account when interpreting our findings as previous work has shown that a good estimation of the maximum pairwise distance in DNA barcoding should be based on ≥ 20 individuals per species [65]. Also, sample number and between species distance in DNA barcoding has been shown to be positively correlated [66]. However, the barcode gap is usually not affected by sample size and even a relatively small barcode library can be used for identification of specimens collected from larger geographic scale [66]. This suggests that the present findings are still reliable, although in some species only very few sequences could be obtained.

Non-Aphidiinae parasitoids and hyperparasitoids

In the non-Aphidiinae, the COI standard barcoding region [67,68] was found to be more divergent within species than in the 16S sequences. Consequently, the 16S sequences were slightly better suited for species identification. This was supported primarily by sequence data from three species: Asaphes vulgaris, Alloxysta fulviceps and Alloxysta victrix. In A. vulgaris there was no species-pair without a barcoding gap in 16S, while the COI clades were overlapping with Asaphes suspensus. This was evidenced by the highly divergent COI sequences of A. vulgaris (mean within species distance 0.09). The large within species distances and the resulting neighbour joining tree of COI sequences suggest the possibility of misidentified specimens, or the existence of cryptic species. Additional studies would be necessary to clarify this situation. The second species, A. fulviceps, showed higher variability in the COI compared to 16S sequences: for example, specimens “ALful036” and “ALful058” had a COI within group distance of 0.06, whereas the 16S sequences of these two specimens were the same. Nevertheless, the mean within group distance of COI was 0.05 and 16S sequences suggested Alloxysta sp. A and Alloxysta sp. C as a possible sister group of A. fulviceps. As a COI divergence within species has been proposed to be lower than 0.022 [68], our findings indicate the possibility of cryptic speciation. Further taxonomic research is needed to confirm the status of both species. For A. victrix, the third species, the mean within group distance was 0.03 for COI, whereas the mean within group distance for 16S was only 0.006. This finding also points to the possibility of cryptic speciation within A. victrix, which is a cosmopolitan generalist. This is in accordance with findings on the patterns of antennal sensillar equipment of this species, which also suggest the existence of cryptic species in A. victrix [69]. To conclude, it is possible to use the DNA sequences of both COI and 16S to discriminate species between all non-Aphidiinae investigated here. 16S sequences perform slightly better than COI sequences for molecular identification of Aphelinus and hyperparasitoid species. Additionally, specimens of the primary parasitoid species, Aphelinus varipes were separated into two clades in the neighbour joining trees of both COI and 16S. As A. varipes has been described as a species complex [70], further taxonomic studies of both clades are suggested.

Aphidiinae parasitoids

Overall, the COI sequences provide a slightly higher species resolution and a much larger current database [30] than 16S, suggesting that COI is better suited for species identification in Aphidiinae than 16S. On the basis of morphological differences and some biological traits such as host acceptance behaviour and host range patterns, Pennacchio and Tremblay [71] described Aphidius microlophii as a cryptic species within the A. ervi complex. Furthermore, Pennacchio & Temblay [71] and Pennacchio et al. [72] state that A. microlophii is a parasitoid specific to stinging nettle aphids, Microlophium carnosum. However, COI sequences do not separate A. ervi from A. microlophii, and 16S sequences were identical among A. ervi, A. microlophii and A. rhopalosiphi. Previous studies have also shown that A ervi and A. microlophii are not genetically distinct based on COI [33] and on 16S gene sequences [30]. Nevertheless, we included A. microlophii in our study, since it is still not clear if it is a separate species specific to M. carnosum on Urtica plants or just a specific population of A. ervi which also attacks cereal aphids.

Similarly, it was not possible to clearly differentiate between P. abjectum and P. volucre using COI and 16S sequences, although a previous study has shown that these two species are both morphologically and genetically (COI) distinct [73,74]. The high intraspecific variability in P. abjectum indicates the possibility of a species complex related to several host-associated lineages: some of our P. abjectum specimens originated from elder aphids, Aphis sambuci, collected from Sambucus nigra which is a common shrub around cereal agroecosystems. Recently, a new parasitoid species, Praon sambuci, which is associated with the A. sambuci-S. nigra system, was described [73]. Therefore, further evaluation of the taxonomic status of P. abjectum, P. sambuci and P. volucre is warranted.

The distance between two clades of Binodoxys angelicae on the COI gene was 0.03, also suggesting a possible species complex. Interestingly, apart from Trioxys auctus, which is the only known Trioxys cereal aphid parasitoid in Europe, a Trioxys sp. A clade was found. The COI distances from the two specimens on this clade to B. angelicae and T. auctus were 0.08. As Trioxys sp. A was reared from bird cherry-oat aphids, Rhopalosiphum padi, we suggest that it could be some unknown Trioxys cereal aphid parasitoid from Europe or some exotic species accidentally introduced to Europe. The later seems likely, Trioxys sunnysidensis reared from R. padi has recently been described in central Washington, USA [75]. Nevertheless, further studies are suggested to address these questions.

DNA based identification of Aphidiinae and non-Aphidiinae associated with cereal aphids

For DNA-based identification of parasitoids within their hosts, PCR assays which employ primers amplifying the DNA of parasitoids but not of the host can be used. There are two ways of detecting and identifying these parasitoids: either using species-specific primers (e.g. Gariepy and Messing [28]; Macfadyen et al. [8]; Traugott et al. [7]) or parasitoid group-specific primers which amplify a DNA fragment which allows sequence-based discrimination of the parasitoid species [30]. For parasitoid identification using species-specific primers, the higher divergence within species of non-aphidiid parasitoids in COI gene sequences can make primer design challenging. For these species, 16S sequences would be better suited for the establishment of species-specific primers [31]. For the Aphidiinae, however, the standard barcode region COI seems to be best suited for species-specific primer design [7,8,31]. The comprehensive COI and 16S sequence information provided by the present study is an important requirement for designing species-specific primers for cereal aphid parasitoids. For the DNA sequence-based identification approach using group-specific parasitoid primers, such as Sanger sequencing and next generation sequencing (NGS), the 16S sequences are better suited than the more divergent COI sequences. The 16S sequences contain enough variability between species to allow for sequence-based identification of the cereal aphid parasitoid species considered in our study. Such 16S-based group-specific primers for non-Aphidiinae and Aphidiinae have just recently been developed [30,31], and the 16S sequences for cereal aphid primary parasitoids and their hyperparasitoids provided by this study represents an important reference DNA sequence database.

Overall, this research expands the sequence database for parasitoids and hyperparasitoids associated with cereal aphids, and provides a foundation for additional molecular studies aimed at gaining a better understanding of the biocontrol services provided by aphid parasitoids in crop and non-crop ecosystems.

Supporting information

S1 Table. Taxonomic authorities of the organisms used in this study.

https://doi.org/10.1371/journal.pone.0177376.s001

(DOCX)

S2 Table. Parasitoid specimens used in this study.

https://doi.org/10.1371/journal.pone.0177376.s002

(XLSX)

S3 Table. Parasitoid DNA sequences retrieved from GenBank for this study.

https://doi.org/10.1371/journal.pone.0177376.s003

(DOCX)

Acknowledgments

We gratefully thank to Lisa Eggenschwiler, Vesna Gagic, Katarina Kos, Mark Ramsden, Tatyana Rand, Eve Roubinet and Petr Starý for providing samples. We also thank Tara Gariepy, Blas Lavandero and another anonymous reviewer for reviewing, commenting and improving the paper.

Author Contributions

  1. Conceptualization: ZY IV MT.
  2. Investigation: ZY.
  3. Resources: IV ZT.
  4. Writing – original draft: ZY MT.
  5. Writing – review & editing: ZY IV ZT MT.

References

  1. 1. Boivin G, Hance T, Brodeur J. Aphid parasitoids in biological control. Canadian Journal of Plant Science. 2012;92(1):1–12.
  2. 2. Poehling H-M, Freier B, Klüken AM. IPM Case Studies: Grain. In: van Emden HF, Harrington R, editors. Aphids as crop pests. Wallingford, Cambridge: CABI; 2007. p. 597–611.
  3. 3. Powell W, Pell JK. Biological control. In: van Emden HF, Harrington R, editors. Aphids as crop pests. Wallingford, Cambridge: CABI; 2007. p. 469–513.
  4. 4. Thies C, Haenke S, Scherber C, Bengtsson J, Bommarco R, Clement LW, et al. The relationship between agricultural intensification and biological control: experimental tests across Europe. Ecological Applications. 2011;21(6):2187–96. pmid:21939053
  5. 5. Schmidt MH, Lauer A, Purtauf T, Thies C, Schaefer M, Tscharntke T. Relative importance of predators and parasitoids for cereal aphid control. Proceedings of the Royal Society B-Biological Sciences. 2003;270(1527):1905–9. pmid:14561303
  6. 6. Höller C, Borgemeister C, Haardt H, Powell W. The relationship between primary parasitoids and hyperparasitoids of cereal aphids—an analysis of field data. Journal of Animal Ecology. 1993;62(1):12–21.
  7. 7. Traugott M, Bell JR, Broad GR, Powell W, Van Veen JF, Vollhardt IMG, et al. Endoparasitism in cereal aphids: molecular analysis of a whole parasitoid community. Molecular Ecology. 2008;17(17):3928–38. pmid:18662231
  8. 8. Macfadyen S, Gibson R, Raso L, Sint D, Traugott M, Memmott J. Parasitoid control of aphids in organic and conventional farming systems. Agriculture Ecosystems & Environment. 2009;133(1–2):14–8.
  9. 9. Hawro V, Ceryngier P, Tscharntke T, Thies C, Gagic V, Bengtsson J, et al. Landscape complexity is not a major trigger of species richness and food web structure of European cereal aphid parasitoids. BioControl. 2015;60(4):451–61.
  10. 10. Müller CB, Adriaanse ICT, Belshaw R, Godfray HCJ. The structure of an aphid-parasitoid community. Journal of Animal Ecology. 1999;68(2):346–70.
  11. 11. Lohaus K, Vidal S, Thies C. Farming practices change food web structures in cereal aphid-parasitoid-hyperparasitoid communities. Oecologia. 2013;171(1):249–59. pmid:22736196
  12. 12. Gomez-Marco F, Urbaneja A, Jaques JA, Rugman-Jones PF, Stouthamer R, Tena A. Untangling the aphid-parasitoid food web in citrus: Can hyperparasitoids disrupt biological control? Biological Control. 2015;81:111–21.
  13. 13. Schooler SS, De Barro P, Ives AR. The potential for hyperparasitism to compromise biological control: Why don't hyperparasitoids drive their primary parasitoid hosts extinct? Biological Control. 2011;58(3):167–73.
  14. 14. Rand TA, van Veen FJF, Tscharntke T. Landscape complexity differentially benefits generalized fourth, over specialized third, trophic level natural enemies. Ecography. 2012;35(2):97–104.
  15. 15. Gariepy T, Kuhlmann U, Gillott C, Erlandson M. A large-scale comparison of conventional and molecular methods for the evaluation of host-parasitoid associations in non-target risk-assessment studies. Journal of Applied Ecology. 2008;45(2):708–15.
  16. 16. Quicke DLJ. The braconid and ichneumonid parasitoid wasps: Biology, Systematics, Evolution and Ecology. New York: John Wiley & Sons; 2015.
  17. 17. Tomanovic Z, Kavallieratos NG, Stary P, Athanassiou CG, Zikic V, Petrovic-Obradovic O, et al. Aphidius Nees aphid parasitoids (Hymenoptera, Braconidae, Aphidiinae) in Serbia and Montenegro: tritrophic associations and key. Acta Entomologica Serbica. 2003;8(1–2):15–39.
  18. 18. Rakhshani E, Kazemzadeh S, Stary P, Barahoei H, Kavallieratos NG, Cetkovic A, et al. Parasitoids (Hymenoptera: Braconidae: Aphidiinae) of northeastern Iran: Aphidiine-aphid-plant associations, key and description of a new species. Journal of Insect Science. 2012;12:26.
  19. 19. Rakhshani E, Talebi AA, Kavallieratos NG, Rezwani A, Manzari S, Tomanovic Z. Parasitoid complex (Hymenoptera, Braconidae, Aphidiinae) of Aphis craccivora Koch (Hemiptera: Aphidoidea) in Iran. Journal of Pest Science. 2005;78(4):193–8.
  20. 20. Ferrer-Suay MM, Pujade-Villar J, Selfa J. New contribution to the knowledge of the genus Alloxysta (Insecta: Hymenoptera: Cynipoidea: Figitidae): revision of some type material. Annalen des Naturhistorischen Museums in Wien, Serie B. 2015;177:23–36.
  21. 21. Hawkins BA. Pattern & process in host-parasitoid interactions. Cambridge: Cambridge University Press; 1994 1994. I–x, 1–190 p.
  22. 22. Walton MP, Powell W, Loxdale HD, Allenwilliams L. Electrophoresis as a tool for estimating levels of hymenopterous parasitism in field populations of the cereal aphid, sitobion avenae. Entomologia Experimentalis Et Applicata. 1990;54(3):271–9.
  23. 23. Gariepy TD, Haye T, Zhang J. A molecular diagnostic tool for the preliminary assessment of host-parasitoid associations in biological control programmes for a new invasive pest. Molecular Ecology. 2014;23(15):3912–24. pmid:24102670
  24. 24. Valentini A, Pompanon F, Taberlet P. DNA barcoding for ecologists. Trends in Ecology & Evolution. 2009;24(2):110–7. pmid:19100655
  25. 25. Traugott M, Kamenova S, Ruess L, Seeber J, Plantegenest M. Empirically characterising trophic networks: What emerging DNA-based methods, stable isotope and fatty acid analyses can offer. In: Woodward G, Bohan DA, editors. Advances in Ecological Research, Vol 49: Ecological Networks in an Agricultural World. Advances in Ecological Research. 49. San Diego: Elsevier Academic Press Inc; 2013. p. 177–224.
  26. 26. Gariepy TD, Kuhlmann U, Gillott C, Erlandson M. Parasitoids, predators and PCR: the use of diagnostic molecular markers in biological control of Arthropods. Journal of Applied Entomology. 2007;131(4):225–40.
  27. 27. Greenstone MH. Molecular methods for assessing insect parasitism. Bulletin of Entomological Research. 2006;96(1):1–13. pmid:16441900
  28. 28. Gariepy TD, Messing RH. Development and use of molecular diagnostic tools to determine trophic links and interspecific interactions in aphid-parasitoid communities in Hawaii. Biological Control. 2012;60(1):26–38.
  29. 29. Traugott M, Symondson WOC. Molecular analysis of predation on parasitized hosts. Bulletin of Entomological Research. 2008;98(3):223–31. pmid:18439340
  30. 30. Derocles SAP, Plantegenest M, Simon JC, Taberlet P, Le Ralec A. A universal method for the detection and identification of Aphidiinae parasitoids within their aphid hosts. Molecular Ecology Resources. 2012;12(4):634–45. pmid:22414242
  31. 31. Ye Z, Vollhardt IMG, Girtler S, Wallinger C, Tomanovic Z, Traugott M. An effective molecular approach for assessing cereal aphid-parasitoid-endosymbiont networks. Scientific reports. 2017;accepted.
  32. 32. Hebert PDN, Ratnasingham S, deWaard JR. Barcoding animal life: cytochrome c oxidase subunit 1 divergences among closely related species. Proceedings of the Royal Society B-Biological Sciences. 2003;270:S96–S9. pmid:12952648
  33. 33. Derocles SAP, Le Ralec A, Plantegenest M, Chaubet B, Cruaud C, Cruaud A, et al. Identification of molecular markers for DNA barcoding in the Aphidiinae (Hym. Braconidae). Molecular Ecology Resources. 2012;12(2):197–208. pmid:22004100
  34. 34. Derocles SAP, Le Ralec A, Besson MM, Maret M, Walton A, Evans DM, et al. Molecular analysis reveals high compartmentalization in aphid-primary parasitoid networks and low parasitoid sharing between crop and noncrop habitats. Molecular Ecology. 2014;23(15):3900–11. pmid:24612360
  35. 35. Ballard JWO. Comparative genomics of mitochondrial DNA in members of the Drosophila melanogaster subgroup. Journal of Molecular Evolution. 2000;51(1):48–63. pmid:10903372
  36. 36. Jarman SN, Deagle BE, Gales NJ. Group-specific polymerase chain reaction for DNA-based analysis of species diversity and identity in dietary samples. Molecular Ecology. 2004;13(5):1313–22. pmid:15078466
  37. 37. Mueller RL. Evolutionary rates, divergence dates, and the performance of mitochondrial genes in Bayesian phylogenetic analysis. Systematic Biology. 2006;55(2):289–300. pmid:16611600
  38. 38. Hajibabaei M, Janzen DH, Burns JM, Hallwachs W, Hebert PDN. DNA barcodes distinguish species of tropical Lepidoptera. Proceedings of the National Academy of Sciences of the United States of America. 2006;103(4):968–71. pmid:16418261
  39. 39. Fergusson NDM. Charipidae, Ibaliidae & Figitidae. Hymenoptera: Cynipoidea. In: Barnard PC, Askew RR, editors. Handbooks for the Identification of British Insects. Vol. 8, Part 1c. London: Royal Entomological Society of London; 1986. p. 1–55.
  40. 40. Fergusson NDM. A revision of the British species of Dendrocerus Ratzeburg (Hymenoptera: Ceraphronoidea) with a review of their biology as aphid hyperparasites. Bulletin of the British Museum of Natural History (Entomology). 1980;41(4):255–314.
  41. 41. Gibson GAP. The Australian species of Pachyneuron Walker (Hymenoptera: Chalcidoidea: Pteromalidae). Journal of Hymenoptera Research. 2001;10(1):29–54.
  42. 42. Gibson GAP, Vikberg V. The species of Asaphes Walker from America north of Mexico, with remarks on extralimital distributions and taxa (Hymenoptera: Chalcidoidea, Pteromalidae). Journal of Hymenoptera Research. 1998;7(2):209–56.
  43. 43. Kamijo K, Takada H. Aphid hyperparasites of the Pteromalidae occurring in Japan (Hymenoptera). in Studies on aphid hyperparasites of Japan, New Series 2. Insecta Matsumurana. 1973:39–76.
  44. 44. Kavallieratos NG, Tomanovic Z, Starý P, Athanassiou CG, Fasseas C, Petrovic O, et al. Praon Haliday (Hymenoptera: Braconidae: Aphidiinae) of southeastern Europe: key, host range and phylogenetic relationships. Zoologischer Anzeiger. 2005;243(3):181–209.
  45. 45. Pennacchio F. The Italian species of the genus Aphidius Nees (Hymenoptera, Braconidae, Aphidiinae). Bollettino del Laboratorio di Entomologia Agraria Filippo Silvestri. 1990;46:75–106.
  46. 46. Starý P. Biosystematic synopsis of parasitoids on cereal aphids in the Western Palaearctic (Hymenoptera, Aphidiidae, Homoptera, Aphidoidea). Acta Entomologica Bohemoslovaca. 1981;78(6):382–96.
  47. 47. Starý P. Aphid parasites of Czechoslovakia. A review of the Czechoslovak Aphidiidae (Hymenoptera). The Hague: Dr. W. Junk; 1966.
  48. 48. Graham MWRdV. The Pteromalidae of north-western Europe (Hymenoptera: Chalcidoidea). Bulletin of the British Museum of Natural History (Entomology) 1969;Suppl. 16.
  49. 49. Medvedev GS. Keys to the insects of the European part of the USSR, Volume III Hymenoptera, Part II. In: Medvedev GS, editor. Leiden, The Netherlands: E.J. Brill; 1988. p. i–xii, 1–1341.
  50. 50. Powell W. The identification of hymenopterous parasitoids attacking cereal aphids in britain. Systematic Entomology. 1982;7(4):465–73.
  51. 51. Takada H. Parasitoids (Hymenoptera: Braconidae, Aphidiinae; Aphelinidae) of four principal pest aphids (Homoptera: Aphididae) on greenhouse vegetable crops in Japan. Applied Entomology and Zoology. 2002;37(2):237–49.
  52. 52. Japoshvili G, Abrantes I. Aphelinus species (Hymenoptera: Aphelinidae) from the Iberian Peninsula, with the description of one new species from Portugal. Journal of Natural History. 2006;40(13–14):855–62.
  53. 53. Folmer O, Black M, Hoeh W, Lutz R, Vrijenhoek R. DNA primers for amplification of mitochondrial cytochrome c oxidase subunit I from diverse metazoan invertebrates. Molecular Marine Biology and Biotechnology. 1994;3(5):294–9. pmid:7881515
  54. 54. 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. Annals of the Entomological Society of America. 1994;87(6):651–701.
  55. 55. Kambhampati S, Volkl W, Mackauer M. Phylogenetic relationships among genera of Aphidiinae (Hymenoptera: Braconidae) based on DNA sequence of the mitochondrial 16S rRNA gene. Systematic Entomology. 2000;25(4):437–45.
  56. 56. Kambhampati S, Smith PT. PCR primers for the amplification of four insect mitochondrial gene fragments. Insect Molecular Biology. 1995;4(4):233–6. pmid:8825760
  57. 57. Simon C, Buckley TR, Frati F, Stewart JB, Beckenbach AT. Incorporating molecular evolution into phylogenetic analysis, and a new compilation of conserved polymerase chain reaction primers for animal mitochondrial DNA. Annual Review of Ecology Evolution and Systematics. 2006;37:545–79.
  58. 58. Luan YX, Zhang YP, Yue QY, Pang JF, Xie RD, Yin WY. Ribosomal DNA gene and phylogenetic relationships of Diplura and lower Hexapods. Science in China Series C-Life Sciences. 2003;46(1):67–76.
  59. 59. Hall TA. BioEdit: a user-friendly biological sequence alignment editor and analysis program for Windows 95/98/NT. Nucleic Acids Symposium Series. 1999;41:95–8.
  60. 60. Tamura K, Stecher G, Peterson D, Filipski A, Kumar S. MEGA6: Molecular evolutionary genetics analysis version 6.0. Molecular Biology and Evolution. 2013;30(12):2725–9. pmid:24132122
  61. 61. Hebert PDN, Cywinska A, Ball SL, DeWaard JR. Biological identifications through DNA barcodes. Proceedings of the Royal Society B-Biological Sciences. 2003;270(1512):313–21. pmid:12614582
  62. 62. Caterino MS, Cho S, Sperling FAH. The current state of insect molecular systematics: A thriving Tower of Babel. Annual Review of Entomology. 2000;45:1–54. pmid:10761569
  63. 63. Hoy AM. Insect molecular genetics: An introduction to principles and applications. Second ed. USA: Elsevier Science; 2003.
  64. 64. Frezal L, Leblois R. Four years of DNA barcoding: Current advances and prospects. Infection Genetics and Evolution. 2008;8(5):727–36. pmid:18573351
  65. 65. Luo AR, Lan HQ, Ling C, Zhang AB, Shi L, Ho SYW, et al. A simulation study of sample size for DNA barcoding. Ecol Evol. 2015;5(24):S869–S79. pmid:26811761
  66. 66. Huemer P, Mutanen M, Sefc KM, Hebert PDN. Testing DNA Barcode Performance in 1000 Species of European Lepidoptera: Large Geographic Distances Have Small Genetic Impacts. Plos One. 2014;9(12):21. pmid:25541991
  67. 67. Ratnasingham S, Hebert PDN. BOLD: The Barcode of Life Data System (www.barcodinglife.org). Molecular Ecology Notes. 2007;7(3):355–64. pmid:18784790
  68. 68. Ratnasingham S, Hebert PDN. A DNA-based registry for all animal species: The Barcode Index Number (BIN) System. Plos One. 2013;8(7):16. pmid:23861743
  69. 69. Polidori C, Freitas-Cerqueira A, Pujade-Villar J, Oliva F, Ferrer-Suay M. Flagellar sensillar equipment of two morphologically closely related aphid hyperparasitoids (Hymenoptera: Figitidae: Alloxysta). Journal of insect science (Online). 2016;16. pmid:26810561
  70. 70. Heraty JM, Woolley JB, Hopper KR, Hawks DL, Kim JW, Buffington M. Molecular phylogenetics and reproductive incompatibility in a complex of cryptic species of aphid parasitoids. Molecular phylogenetics and evolution. 2007;45(2):480–93. pmid:17702609
  71. 71. Pennacchio F, Tremblay E. Biosystematic and morphological study of two Aphidius ervi Haliday (Hymenoptera, Braconidae) 'biotypes' with the description of a new species. Bollettino del Laboratorio di Entomologia Agraria Filippo Silvestri. 1987;43:105–17.
  72. 72. Pennacchio F, Digilio MC, Tremblay E, Tranfaglia A. Host recognition and acceptance behavior in 2 aphid parasitoid species—Aphidius ervi and Aphidius microlophii (Hymenoptera, Braconidae). Bulletin of Entomological Research. 1994;84(1):57–64.
  73. 73. Mitrovski-Bogdanovic A, Petrovic A, Mitrovic M, Ivanovic A, Zikic V, Stary P, et al. Identification of Two Cryptic Species Within the Praon abjectum Group (Hymenoptera: Braconidae: Aphidiinae) Using Molecular Markers and Geometric Morphometrics. Annals of the Entomological Society of America. 2013;106(2):170–80.
  74. 74. Mitrovski-Bogdanovic A, Tomanovic Z, Mitrovic M, Petrovic A, Ivanovic A, Zikic V, et al. The Praon dorsale-yomenae s.str. complex (Hymenoptera, Braconidae, Aphidiinae): Species discrimination using geometric morphometrics and molecular markers with description of a new species. Zoologischer Anzeiger. 2014;253(4):270–82.
  75. 75. Fulbright JL, Pike KS. A new species of Trioxys (Hymenoptera: Braconidae: Aphidiinae) parasitic on the bird cherry-oat aphid, Rhopalosiphum padi (L.) (Hemiptera: Aphididae) in the Pacific Northwest. Proc Entomol Soc Wash. 2007;109(3):541–6.