Blood-meal analysis of Culicoides (Diptera: Ceratopogonidae) reveals a broad host range and new species records for Romania.

BACKGROUND: Culicoides biting midges are potential vectors of different pathogens. However, especially for eastern Europe, there is a lack of knowledge on the host-feeding patterns of this vector group. Therefore, this study aimed to identify Culicoides spp. and their vertebrate hosts collected in a wetland ecosystem.
METHODS: Culicoides spp. were collected weekly from May to August 2017, using Biogents traps with UV light at four sites in the Danube Delta Biosphere Reserve, Romania. Vectors and hosts were identified with a DNA barcoding approach. The mitochondrial cytochrome c oxidase subunit 1 was used to identify Culicoides spp., while vertebrate hosts were determined targeting cytochrome b or 16S rRNA gene fragments. A maximum likelihood phylogenetic tree was constructed to verify the biting midge identity against other conspecific Palaearctic Culicoides species. A set of unfed midges was used for morphological confirmation of species identification using slide-mounted wings.
RESULTS: Barcoding allowed the species identification and detection of corresponding hosts for 1040 (82.3%) of the 1264 analysed specimens. Eight Culicoides spp. were identified with Culicoides griseidorsum, Culicoides puncticollis and Culicoides submaritimus as new species records for Romania. For 39 specimens no similar sequences were found in GenBank. This group of unknown Culicoides showed a divergence of 15.6-16.3% from the closest identified species and clustered in a monophyletic clade, i.e. a novel species or a species without reference sequences in molecular libraries. For all Culicoides spp., nine mammalian and 24 avian species were detected as hosts. With the exception of C. riethi (n = 12), at least one avian host was detected for all Culicoides spp., but this host group only dominated for Culicoides kibunensis and the unknown Culicoides sp.. The most common host group were mammals (n = 993, 87.6% of all identified blood sources) dominated by cattle (n = 817, 70.6%).
CONCLUSIONS: Most Culicoides spp. showed a broad host-feeding pattern making them potential bridge vectors. At the same time, new records of biting midge species for Romania, as well as a potentially unknown Culicoides species, highlight the lack of knowledge regarding the biting midge species and their genetic diversity in eastern Europe.

Background

Biting midges of the genus Culicoides Latreille, 1809 (Diptera: Ceratopogonidae) are vectors of a variety of pathogens. These include protozoans [1-3], filarial worms [4] and numerous viruses [5]. Their relevance as vectors is primarily related to veterinary health, though outbreaks of the Culicoides-borne Oropouche virus in humans regularly occur in the Neotropics [6]. In Europe, several biting midge species are able to transmit bluetongue virus (BTV), African horse sickness virus and Schmallenberg virus (SBV) [7]. These viruses are responsible for outbreaks of non-contagious diseases in ruminants, causing huge economic losses, e.g. due to restrictions on animal trade [8].

The expansion of BTV from the Mediterranean basin to central Europe up to Scandinavia [9-11] prompted studies on Culicoides taxonomy [12-14], ecology [15-17] and vector competence [18-20]. In contrast, only few studies focused on the Culicoides fauna in southeastern Europe. Severe BTV outbreaks were observed between 2014 and 2015 in the Balkan Peninsula [21, 22]. In Romania, BTV was confirmed for the first time in 2014 [23]. The most comprehensive studies on the Culicoides fauna conducted in Romania date back to the end of the 20th century [24, 25]. More recent studies of the Culicoides fauna in Romania only focused on the known vectors of BTV. Thus, with the exception of C. imicola Kieffer, 1913 or C. nubeculosus (Meigen 1830) [26, 27], biting midges were recorded as species groups considered the most important vectors of BTV/SBV, i.e. C. obsoletus group and C. pulicaris group, or as “other Culicoides” [28, 29]. Currently, species-specific information on the distribution of other Culicoides taxa in Romania is missing.

The identification of blood sources from engorged vectors is a useful method to understand vector-host interactions and the ecology of associated pathogens [30, 31]. The host-feeding patterns of Culicoides have received much less attention compared to other vector groups (e.g. mosquitoes and ticks) [32, 33]. In Europe, most of the vertebrate hosts identified from engorged biting midges are ruminants [34-36]. However, other mammalian species such as humans and pigs can also be frequent [37-39]. In comparison, avian hosts are generally a more diverse, but less frequent group compared to mammals [34, 37, 38, 40]. Information about hosts of Culicoides species from eastern Europe was obtained by recent efforts undertaken in natural areas of Bulgaria [41] and Serbia [42]. In Serbia, blood-meal analysis predominantly detected ruminant hosts, whereas in Bulgaria, a large diversity of avian hosts was recorded for ornithophilic biting midges. To the best of our knowledge, such studies do not exist for Romania. Therefore, the aim of this study was to investigate the host-feeding patterns of Culicoides species collected from four sampling sites in the Danube Delta Biosphere Reserve (DDBR).

Methods

Trapping methods and study sites

Biting midges were collected at four sites in the DDBR as part of a pilot longitudinal arbovirus surveillance programme [43] (Fig. 1, Additional file 1: Text S1). The trapping site Letea is characterized by a semi-open enclosure for cattle and goats built of wood, reeds and rushes, located a short distance from a small canal and almost 1 km from a deciduous forest. In Sulina, the sampling site was a covered cow stable with two or three animals kept at night with a stagnant water body (canal) and a large dung heap in close proximity. The local host communities of both anthropogenic sites (Letea and Sulina) are predominantly characterized by cattle, horse, cat, poultry and humans accompanied by dogs. In contrast, the site at Dunărea Veche lays at the confluence of two branches of the Danube and adjacent small canals; a large crop field is bordered by these waters. The site Lake Roșuleț is an old fishery surrounded by a shallow, stagnant canal and rows of trees isolating the area from the surrounding marshland. Only few humans (farmers and fishermen) with dogs and cats are present in Dunărea Veche and Lake Roșuleț. The host community of both sites is predominantly characterized by a high diversity of wild mammals and birds.

Fig. 1

Sampling sites (1: Letea; 2: Dunărea Veche; 3: Sulina; 4: Lake Roșuleț) of Culicoides in the Danube Delta Biosphere Reserve (Romania) during the sampling period in 2017. Landcover variables are aggregated land cover data (Corine Land Cover (CLC) 2018 raster data, https://land.copernicus.eu/). CLC codes: water bodies, 511–523; natural, 311–423; rural, 211–244; urban, 111–142

Between May and August 2017, one Biogents Sentinel trap (BG trap; Biogents, Regensburg, Germany (http://www.biogents.com/)) equipped with an ultraviolet lamp was operated at each site for one night per week resulting in a total of 60 trap nights. The climate of the study area is continental with an annual mean temperature of 11 ℃ (− 1 ℃ in January and 22 ℃ in July) and around 350 mm of mean precipitation per year. Sampling in the present study was conducted during a hot and dry summer. A mean temperature of 21 ℃ and mean precipitation under 30 mm was recorded in the Danube Delta between May and August 2017 (http://www.meteoromania.ro/clima/monitorizare-climatica/).

Sample processing

Insects were frozen, shipped on dry ice and stored at − 80 ℃ in the laboratory. Due to the large amount of non-engorged and engorged Culicoides, only a random subsample of 1264 engorged specimens from all four sampling sites and every month of collection were selected. During the progress of sequencing, a dominance of cattle was observed for the sites Sulina and Letea. Therefore, we focused specifically on the engorged Culicoides from the sites Dunărea Veche and Lake Roșuleț, where a wider range of wildlife host blood meals were likely to be detected. Dry, frozen storage was preferred over ethanol storage to allow virus isolation and characterization at a later time. Biting midges were separated by engorged status and wing patterns under a stereomicroscope (Olympus ZSX12, Tokyo, Japan). In addition, a small set of unfed specimens (n = 37) from each sampling site (Sulina, n = 10; Letea, n = 9; Dunărea Veche, n = 10; Lake Roșuleț, n = 8) were used for morphological identification, which were selected as morphologically representative for the different Culicoides species in the samples. Wings were mounted on slides in Euparal (Carl Roth, Karlsruhe, Germany) and species identified by morphology using the key of Mathieu et al. [14].

For DNA extraction, each specimen was placed into an individual sterile 2 ml tube (Eppendorf, Hamburg, Germany) with 5–9 zirconium beads (1 mm, Carl Roth) and 200 μl of Dulbecco’s modified Eagle’s medium (Sigma-Aldrich, St. Louis, MO, USA) with 100 μg/ml streptomycin (PAN-Biotech, Aidenbach, Germany) and 2.5 μg/ml amphotericin B (PAN-Biotech). The samples were homogenised with a TissueLyser II (Qiagen, Hilden, Germany) twice for 3 min at 30 Hertz. The suspension was clarified by centrifugation at 8000× rpm for 2 min at 4 ℃. Total nucleic acid was extracted from 100 μl of supernatant, using the MagMAX™RNA/DNA Pathogen Kit with a KingFisher™ Flex Magnetic Particle Processor (Thermo Fisher Scientific, Waltham, MA, USA).

Molecular identification of biting midges

A 658-bp fragment of the mitochondrial cytochrome c oxidase subunit 1 gene (cox1) was amplified PCR, using the primers HCO2198 and LCO1490 [44]. One microliter template was added to a 10 μl reaction mix, containing 6.6 μl of Hotstar Taq Master Mix (Qiagen), 2.2 μl of molecular grade water (included in the Master Mix kit) and 0.6 μl of each 10 μM primer. The following cycling program was used: initial denaturation at 95 ℃ for 15 min, followed by 40 cycles of 30 s denaturation at 94 ℃, 45 s annealing at 40 ℃ and 1 min extension at 72 ℃, and final extension step for 10 min at 72 ℃. Each PCR run included DNA of Culex quinquefasciatus Say, 1823 (positive control) and ultrapure water (negative control). All amplicons were visualised on 2% agarose gels and PCR products sequenced with LGC Genomics (Berlin, Germany).

Molecular identification of Culicoides hosts

Hosts were identified using two PCR protocols targeting the cytochrome b (cytb) and 16S rRNA gene fragment [45-47]. Both protocols were described in detail in a previous study by Börstler et al. [32]. If the amplification with the first pair of primers failed [45, 46], another PCR was applied using the second pair of primers [47]. The same applied to potential mixed blood meals as indicated by double peaks at different positions in the sequence electropherograms. These samples were also analysed with both PCRs. As observed in our previous studies [32, 33], the PCR targeting the cytb gene fragment generally has a higher amplification rate for mammals, and the PCR targeting the 16S rRNA gene fragment a higher amplification rate for birds. We used the DNA of a mammal (African green monkey, Chlorocebus sabaeus (L.)) and a bird (European blackbird, Turdus merula L.) as positive controls. The negative control was ultrapure water, which was included in each PCR run. These amplicons were also visualised and sequenced as described above.

Data analysis

Sequences were visualised and edited with Geneious version 9.1.7 (Biomatters, Auckland, New Zealand). The resulting sequences were submitted for species identification using the basic alignment search tool (BLAST) in the GenBank DNA sequence database (https://blast.ncbi.nlm.nih.gov/) and the Barcode of Life Database [48]. In order to rule out potential contamination, samples indicating human host DNA were repeated separately in an individual PCR reaction. Identity values for the Culicoides and host species generally ranged between 98 and 100%. Sequences with lower identity values were repeated. One exception was the newly described haplotype of C. punctatus (Meigen, 1804), which showed identity values between 96 and 97%. In addition, information on the fauna of the DDBR were used to interpret the sequences. For example, domestic pig has become quite a rarity in the study area (Additional file 1: Text S1). Therefore, these sequences were classified as wild boar, which is a common wild mammal in the DDBR.

To assess the phylogenetic relationship of Culicoides identified in the DDBR with other previously reported species in the Palaearctic, a maximum likelihood tree was constructed with MEGAX [49] with additional conspecific and outgroup sequences (Forcipomyia spp. and Cx. quinquefasciatus) from GenBank (Additional file 2: Table 1). The HKY + G model was identified as the best-fit model of nucleotide substitution by Jmodeltest 2.1.10 [50] based on calculations of Bayesian and Akaikeʼs information criteria. Robustness of nodes was assessed by 1000 bootstrap replicates. The Culicoides spp. sequences generated in this study were deposited in the GenBank database under the accession numbers MN274523-274532 and MN340302-340312.

Table 1

Frequency of detected hosts per Culicoides spp. with corresponding percentage collected in the Danube Delta Biosphere Reserve (Romania) during 2017

Host	C. griseidorsum n (%)	C. kibunensis n (%)	C. punctatus n (%)	C. punctatus P n (%)	C. riethi n (%)	C. subfasciipennis/C. pallidicornis n (%)	C. submaritimus n (%)	Unknown Culicoides sp. n (%)	Host information without Culicoides identification n (%)	Total n (%)
Mammals (n = 1064, 92%)
Bos taurus L.	170 (63.9)	4 (5.2)	207 (85.9)	163 (81.1)	8 (80.0)	188 (83.2)	1 (11.1)	2 (11.1)	74 (68.5)	817 (70.7)
Bubalus bubalis (Kerr)			1 (0.4)			1 (0.4)				2 (0.2)
Canis lupus familiaris (L.)		4 (5.2)				3 (1.3)				7 (0.6)
Capra hircus L.	46 (17.3)	1 (1.3)	3 (1.2)	1 (0.5)	1 (10.0)	1 (0.4)				53 (4.6)
Capreolus capreolus (L.)		1 (1.3)								1 (0.1)
Equus caballus L.	15 (5.6)		9 (3.7)	3 (1.5)	1 (10.0)	4 (1.8)		1 (5.6)	5 (4.6)	38 (3.3)
Felis catus L.		1 (1.3)				1 (0.4)				2 (0.2)
Homo sapiens L.	3 (1.1)	10 (13.0)	5 (2.1)	4 (2.0)		4 (1.8)	5 (55.6)	2 (11.1)	10 (9.3)	43 (3.7)
Sus scrofa L.	28 (10.5)	3 (3.9)	16 (6.6)	29 (14.4)		22 (9.7)			3 (2.8)	101 (8.7)
Birds (n = 92, 8%)
Acrocephalus arundinaceus (L.)		1 (1.3)				1 (0.4)				2 (0.2)
Acrocephalus scirpaceus (Hermann)		13 (16.9)								13 (1.1)
Ardea cinerea L.		1 (1.3)								1 (0.1)
Ardea purpurea L.		6 (7.8)							1 (0.9)	7 (0.6)
Columba palumbus L.		1 (1.3)						1 (5.6)		2 (0.2)
Coracias garrulus L.		2 (2.6)						3 (16.7)		5 (0.4)
Corvus corone L.	1 (0.4)	6 (7.8)					3 (33.3)		6 (5.6)	16 (1.4)
Cyanistes caeruleus (L.)		4 (5.2)		1 (0.5)				1 (5.6)		6 (0.5)
Emberiza schoeniclus (L.)									1 (0.9)	1 (0.1)
Falco tinnunculus L.								1 (5.6)	1 (0.9)	2 (0.2)
Gallinula chloropus (L.)		3 (3.9)								3 (0.3)
Gallus gallus (Gmelin)	2 (0.8)	2 (2.6)						2 (11.1)		6 (0.5)
Hirundo rustica L.								2 (11.1)		2 (0.2)
Meleagris gallopovo L.									1 (0.9)	1 (0.1)
Motacilla alba L.		1 (1.3)								1 (0.1)
Nycticorax nycticorax (L.)		1 (1.3)				1 (0.4)		1 (5.6)		3 (0.3)
Parus major L.		1 (1.3)							3 (2.8)	4 (0.3)
Passer montanus (L.)		1 (1.3)								1 (0.1)
Phalacrocorax carbo (L.)									2 (1.9)	2 (0.2)
Streptopelia decaocto (Frivaldszky)								2 (11.1)		2 (0.2)
Strix aluco L.		1 (1.3)								1 (0.1)
Sylvia borin (Boddaert)	1 (0.4)	4 (5.2)								5 (0.4)
Tito alba (Scopoli)		1 (1.3)								1 (0.1)
Asio otus (L.)		2 (2.6)								2 (0.2)
Tito alba/Asio otus		2 (2.6)							1 (0.9)	3 (0.3)
Culicoides specimens without host identification	11	26	7	6	2	19	1	21
Total biting midge specimens	276a	102b	248	207	12	242c	8d	39e

aIncluding one mixed blood meal: Bos taurus + Gallus gallus

bIncluding one mixed blood meal: Sus scrofa + Homo sapiens

cIncluding three mixed blood meals: Bos taurus + Canis lupus familiaris; Sus scrofa + Acrocephalus arundinaceus; Bos taurus + Nycticorax nycticorax

dIncluding two mixed blood meals: Corvus corone + Homo sapiens

eIncluding one mixed blood meal: Equus caballus + Hirundo rustica

Results

Sequencing a fragment of the cox1 gene allowed the molecular identification of 1134 (89.7%) of the analysed 1264 engorged Culicoides (Table 1). Five species were identified for engorged biting midges: C. griseidorsum Kieffer, 1918; C. kibunensis Tokunaga, 1937; C. punctatus; C. riethi Kieffer 1914; and C. submaritimus Tokunaga & Murachi, 1959. Culicoides subfasciipennis Kieffer, 1919/C. pallidicornis Tokunaga & Murachi, 1959 were not differentiated to the species level. Furthermore, 39 sequences (3.1% of the analysed specimens) could not be identified to species level by comparison with other Culicoides sequences available on GenBank. The sequences of these specimens had a high similarity indicative of belonging to the same species and represent the seventh taxon hereafter referred to as “unknown Culicoides”. The eighth taxon detected was C. puncticollis (Becker, 1903), only present in the non-engorged fed biting midges selected for morphological identification. Four of the seven detected engorged species were confirmed by morphology: C. griseidorsum; C. kibunensis; C. riethi; and C. punctatus. In contrast, engorged C. submaritimus and C. subfasciipennis/C. pallidicornis were identified solely by barcoding and were not found in the small set of unfed specimens. Culicoides puncticollis was identified by morphology and cox1 barcoding, but only from the same subset of 37 unfed specimens (Additional file 3: Figure S1). As the cox1 sequences are not suitable to differentiate between C. subfasciipennis and C. pallidicornis [51, 52], these specimens were classified as C. subfasciipennis/C. pallidicornis. The unknown Culicoides species had similar wing patterns to C. kibunensis (Fig. 2).

Fig. 2

Two wing pictures for the unknown Culicoides species collected in the Danube Delta Biosphere Reserve (Romania) during 2017

In order to perform a identity verification of the generated Culicoides cox1 sequences, we constructed a maximum likelihood phylogenetic tree including conspecific Culicoides and outgroup sequences (Fig. 3). A distinct haplotype of C. punctatus (designated as C. punctatus P) was identified in almost half (n = 207, 45.5%) of the 454 C. punctatus specimens analysed. These clustered within a separate monophyletic clade showing a genetic distance of approximately 4% to C. punctatus (Fig. 3). For the unknown Culicoides we could not find any similar sequences in the databases. This group of specimens showed a divergence of 15.6–16.3% from the closest identified Culicoides species (data not shown). The sequences of these specimens had a high similarity with each other and clustered with C. kibunensis in a monophyletic clade (Fig. 3).

Fig. 3

Maximum likelihood phylogenetic tree of cox1 sequences for Culicoides species collected in the Danube Delta Biosphere Reserve (Romania) during 2017. Silhouettes indicate observed host-feeding patterns regarding the relative frequencies of mammalian and avian hosts. The tree was inferred using an HKY + G model (1000 bootstrap replicates) and rooted with Forcipomyia sp. and Culex quinquefasciatus. Branch support values of ≥ 50% are displayed and GenBank accession numbers of sequences shown on the branch tips

Culicoides punctatus (n = 455, 36.0% of all analysed specimens), C. griseidorsum (n = 276, 21.8%), C. subfasciipennis/C. pallidicornis (n = 242, 19.1%) and C. kibunensis (n = 102, 8.1%) were the most frequent taxa identified (Table 1, Additional file 4: Table S2). Culicoides riethi (n = 12, 0.95%) was found in the traps set near livestock in the sites Sulina and Letea, while Culicoides submaritimus (n = 8, 0.63%) was only found for Dunărea Veche and Lake Roșuleț, respectively.

Overlapping the two sets of sequences obtained for Culicoides identification and their hosts, information was available for 1040 (91.7%) of the 1134 molecular identified biting midges (Table 1). Blood-meal identification was not possible for 93 specimens due to failed PCR amplification. In addition, eight mixed blood meals were detected. With the exception of C. punctatus (n = 455) and C. riethi (n = 12), mixed blood meals where found for engorged specimens of all five Culicoides spp. Two Culicoides specimens contained blood from two mammalian hosts, while the other six specimens had mixed blood meals from a bird and a mammal.

A total of 33 vertebrate species were identified including nine species of mammals (27.3%) and 24 species of birds (72.7%) (Table 1). Mammals dominated the host spectrum (n = 1064, 92.0% of all 1156 identified blood sources). Cattle (Bos taurus) was the most abundant species (n = 817, 70.7%), followed by wild boar (n = 101, 8.7%). Other mammalian hosts were each found at a rate below 5%. Birds amounted to 8% of all the identified hosts with the Eurasian reed warbler (Acrocephalus scirpaceus; n = 13, 1.12%) and the carrion crow (Corvus corone; n = 16, 1.38%) as most frequent.

With the exception of C. riethi (n = 12), at least one avian host was detected for all Culicoides spp. Birds dominated the blood-meal sources of C. kibunensis and the unknown Culicoides sp. (68.8% and 72.2% of the detected hosts, respectively) (Table 1). Culicoides kibunensis had the highest diversity of hosts, with seven (77.8%) of the nine mammalian hosts and 18 (75%) of 24 species of avian hosts. Furthermore, humans were the most frequent mammalian host for this species (n = 10, 13.0% of all identified hosts). In contrast, the three most frequent Culicoides spp. (C. griseidorsum, C. punctatus and C. subfasciipennis/C. pallidicornis) showed high proportions of cattle (between 63.9 and 85.9% of all identified blood sources per taxon). The second most frequent hosts were goat (Capra hircus) for C. griseidorsum (17.3%) and wild boar for C. punctatus (6.6%), C. punctatus P (14.4%) and C. subfasciipennis/C. pallidicornis (9.7%) (Table 1). No differences were observed between C. punctatus and its distinct haplotype C. punctatus P. Furthermore, for C. submaritimus (n = 8) only blood meals from humans (n = 5), carrion crows (n = 3) and cattle (n = 1) were detected.

Discussion

The relevance of Culicoides spp. as important vectors of pathogens is well known. Thus, information about their diversity and host-feeding patterns is crucial to understand parasite-host interactions and the ecology of associated pathogens [30]. DNA barcoding is an important tool in biodiversity studies [53-57]. Thereby, barcoding also helped to identify cryptic and new Culicoides species [58-60]. In this study, successful sequencing of 1040 engorged insects demonstrated that barcoding is a useful tool for both, Culicoides and host identification. However, it must be considered that the different genetic markers can have pitfalls and do not necessarily reflect morphological differences [56, 61], i.e. using a single marker might be insufficient for an accurate identification of species.

A total of seven Culicoides species-level taxa were detected for the four sites in the DDBR. In the phylogenetic tree, specimens of the same taxon clustered in well-supported terminal clades. The only exception was C. subfasciipennis/C. pallidicornis. The separation between these two species is based on a variable light spot on the wing’s anal cell of C. subfasciipennis [14]. However, the analysis indicated no sequence differences of the cox1 gene. The discriminatory characters on the wing might be unreliable and further studies are required to clarify the status of both species [51, 52].

Culicoides griseidorsum, C. puncticollis and C. submaritimus were recorded for the first time in Romania, increasing the number of known Culicoides species for the country to 49 species [25]. Culicoides submaritimus has been considered a synonym of C. maritimus Tokunaga, 1940 by some authors [62, 63], while recent studies treated C. submaritimus as a distinct species [14, 64]. In the present study, C. submaritimus was identified by its similarity with cox1 sequences from Turkey, which are the only sequences available on GenBank for this species, while no cox1 sequences were available for C. maritimus. Neither C. submaritimus, nor C. maritimus are included in the inventory of Culicoides biting midges of Romania [25], although more recent studies include the country in the distribution of C. maritimus [14, 65].

The observed genetic variation for the analysed C. punctatus in two distinct clades is within intraspecific boundaries [59]. Such sibling species may vary in their vectorial capacity [66], e.g. vector competence or host-feeding patterns of members in the Anopheles gambiae complex. However, we did not detect differences in the host-feeding patterns between either taxa. Furthermore, the specimens clustering within the clade designated as “unknown Culicoides” showed genetic distances of 15.6–16.3% from the closest described species. These distances are similar to those observed between the other Culicoides species in our study. Comparable distances were found in other Culicoides spp. [67, 68] or mosquitoes [69], indicating that these specimens belong to a separate new species or a species without reference sequences in molecular libraries.

The overall host spectrum covered species expected for the DDBR, including livestock species like buffalo (Bubalis bubalis). Therefore, most of the analysed Culicoides spp. had a broad host-feeding range. Only mammalian hosts were detected for C. riethi, but the small sample size of only 12 engorged specimens does not allow an accurate conclusion on the species’ host-feeding pattern. Both, mammalian and avian hosts were detected for all other biting midge taxa to various extents. The broad host choice matches previous studies, which find similar results for different Culicoides spp. [70, 71]. Humans and carrion crow were the only hosts of C. submaritimus (n = 8). Cattle, wild boar or goat dominated the hosts of the three most frequent Culicoides taxa (C. punctatus, C. subfasciipennis/C. pallidicornis and C. griseidorsum). The high frequency of cattle probably relates to the large number of free-roaming cattle available in the DDBR and their large body mass [72]. However, as observed before [41, 67, 73, 74], despite this distinct dominance of mammalian hosts, different avian hosts were detected for the three Culicoides taxa.

Culicoides kibunensis is considered predominantly ornithophilic [37, 38, 75, 76]. With 18 species of birds and seven species of mammals, this vector of avian malaria [37, 38] showed the highest overall host diversity. The wide range of bird species is not surprising, considering the diversity of this vertebrate group in the DDBR. Nevertheless, the observed generalist host-feeding pattern including humans match previous studies [34, 37, 38]. Interestingly, the unknown Culicoides species showed a similar host-feeding pattern as C. kibunensis, with which it formed a monophyletic clade in the phylogenetic tree. These observations support the hypothesis of a positive correlation between biting midge phylogenetic relatedness and their feeding behaviour [40, 77]. In contrast, other studies speculated that such similarities in host-feeding patterns are not necessarily driven by phylogenetic relatedness, but might be the result of other factors (e.g. body size-driven host choice due to larger emissions of CO2 or volatile compounds) [71].

Host availability probably has a significant impact on the observed host-feeding patterns of Culicoides spp. Although no quantitative information on the host community is available, the prevalence of humans and domestic animals at Dunărea Veche and Lake Roșuleț is known. Humans, dogs and cats had relative low abundance at both sites compared to birds or free-ranging cattle and horses. Nevertheless, humans, dogs or cats were detected as hosts for all analysed Culicoides species. Thus, caution regarding the distribution of biting midges and the potential host has to be considered when interpreting host-feeding patterns of Culicoides. For example, a high proportion of C. griseidorsum were found to have fed on goats, but this host was widely available at Letea, where most of this species were collected (Additional file 4: Table S2, Additional file 5: Table S3).

Information on the host-feeding patterns can be also used to estimate dispersal distances of Culicoides spp. [77]. Biting midges from the sampling site Dunărea Veche were engorged with blood from buffalo and goat. These hosts are only available in the nearest village more than 4 km from the trapping site, which is in the range of a previous study on Culicoides [78]. Maximum dispersal distances of more than 3 km over one night were recorded regularly. Winds over the delta’s flat landscape might favour passive dispersal [79-82]. Thereby, besides active midge movement, wind dispersal is considered an important mode of long-distance dispersal for Culicoides-borne pathogens [83-85].

Conclusions

The broad host range of different mammalian and avian species indicates that most of the analysed Culicoides species in the DDBR are potential bridge vectors. However, the actual vector competence of these species is largely unknown. Of the dominant Culicoides species analysed, C. punctatus was previously indicated as a potential vector of BTV and SBV [86, 87]. Free roaming cattle, the most abundant and most frequently detected hosts in the region, could have an important role in amplification and spread of pathogens between wild ruminants and livestock [88]. At the same time, the new records of biting midge taxa for the country presented here and the detection of a potentially unknown Culicoides taxon highlight the lack of knowledge regarding the biting midge species and their genetic diversity in Europe.

Additional file 1: Text S1. Description of the sampling sites with information on vegetation, surrounding environment and available hosts.

Additional file 2: Table S1. Accession numbers of Culicoides spp., Forcipomyia spp. and Culex quinquefasciatus used for phylogenetic analysis.

Additional file 3: Figure S1. Wing patterns for C. punctatus, C. punctatus P, C. kibunensis, C. puncticollis, C. riethi and C. griseidorsum collected in this study.

Additional file 4: Table S2. Overview of the Culicoides species per sampling site.

Additional file 5: Table S3. Overview of the frequency of each molecularly identified Culicoides host species per sampling site.