Literature DB >> 28643630

Molecular phylogeny of 42 species of Culicoides (Diptera, Ceratopogonidae) from three continents.

Denis Augot1, Bruno Mathieu2, Leila Hadj-Henni1, Véronique Barriel3, Sonia Zapata Mena4, Sylvia Smolis1, Darine Slama5, Fano José Randrianambinintsoa6, Gabriel Trueba4, Matthieu Kaltenbach7, Nil Rahola8, Jérôme Depaquit1.   

Abstract

The genus Culicoides includes vectors of important animal diseases such as bluetongue and Schmallenberg virus (BTV and SBV). This genus includes 1300 species classified in 32 subgenera and 38 unclassified species. However, the phylogenetic relationships between different subgenera of Culicoides have never been studied. Phylogenetic analyses of 42 species belonging to 12 subgenera and 8 ungrouped species of genus Culicoides from Ecuador, France, Gabon, Madagascar and Tunisia were carried out using two molecular markers (28S rDNA D1 and D2 domains and COI mtDNA). Sequences were subjected to non-probabilistic (maximum parsimony) and probabilistic (Bayesian inference (BI)) approaches. The subgenera Monoculicoides, Culicoides, Haematomyidium, Hoffmania, Remmia and Avaritia (including the main vectors of bluetongue disease) were monophyletic, whereas the subgenus Oecacta was paraphyletic. Our study validates the subgenus Remmia (= Schultzei group) as a valid subgenus, outside of the subgenus Oecacta. In Europe, Culicoides obsoletus, Culicoides scoticus and Culicoides chiopterus should be part of the Obsoletus complex whereas Culicoides dewulfi should be excluded from this complex. Our study suggests that the current Culicoides classification needs to be revisited with modern tools. © D. Augot et al., published by EDP Sciences, 2017.

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Year:  2017        PMID: 28643630      PMCID: PMC5482051          DOI: 10.1051/parasite/2017020

Source DB:  PubMed          Journal:  Parasite        ISSN: 1252-607X            Impact factor:   3.000


Introduction

Biting midges of the genus Culicoides Latreille 1809 (Diptera: Ceratopogonidae) are among the world’s smallest haematophagous flies, measuring from 1 to 3 mm, and are described worldwide, except in Antarctica and New Zealand [45]. They are mainly known as vectors of bluetongue virus (BTV), Schmallenberg virus (SBV) and Oropouche virus (OROV) [12]. Currently, approximately 1300 living and 42 fossil species of Culicoides have been described worldwide. Their classification includes 32 subgenera [9] and 38 groups although 13% of occurring species remain ungrouped [11]. This classification is exclusively typological, based on common morphological similarities (e.g. characteristics of reproductive organs, wings, antennae and palps), without any phylogenetic considerations. As most species feature spotted wings, the accurate identification of adults is largely based on subtle variations in size, shape and position of spots that form wing patterns [61-63]. In Africa, Asia and Europe, Culicoides imicola and the Obsoletus complex (both from the subgenus Avaritia Fox) are considered the most important vectors of BTV, SBV and epizootic haemorrhagic disease virus [20, 35, 45, 60]. Other groups of Culicoides are also involved in the transmission of these viruses, such as the Schultzei group (now in the subgenera Remmia Glukhova and sometimes synonymised with Oecacta Poey) [4, 11], Culicoides pulicaris and C. punctatus (Culicoides Latreille), C. circumscriptus (Beltranmyia Vargas) [45], and C. paraensis (Haematomydium Goeldi) only for OROV in South America [12]. Since the recent European bluetongue epizootic outbreak, there has been growing interest in DNA barcoding of Culicoides based on the mitochondrial DNA (mtDNA) cytochrome oxidase I (COI) gene, ribosomal (rDNA) regions such as internal transcribed spacer 1 (ITS1) and internal transcribed spacer 2 (ITS2), and the nuclear CAD gene [29]. The rise of DNA barcoding and the lack of taxonomic experts thus enabled COI sequencing to become a tool for rapid identification of Culicoides species [1]. Ribosomal DNA markers have been used to investigate phylogenies of closely related species (ITS1 and ITS2: [25, 26, 49]; 28S: [27, 28]), interspecific genetic distances (ITS1 [43, 47]) and population structure (ITS1: [53]) within Culicoides. The sequences obtained with ITS1 are generally of low quality [47]. Polymerase chain reaction (PCR) products with ITS2 seem to include many different sequences, even from one individual sample [38]. The lack of phylogenetic data about Culicoides does not allow hypotheses about the vector competence for diseases caused by different Culicoides-borne viruses. Due to the wide distribution and the great economic importance of veterinary diseases transmitted by biting midges, it seems important to build a modern classification of these insects based on phylogenetic studies to help in epidemiological analyses. In this study, we carried out a phylogenetic analysis of 42 Culicoides species from Europe, America and Africa (including Madagascar) using specimens available in our laboratory. Our sampling included major proven vectors of diseases (i.e. subgenera Avaritia, Culicoides, Haematomydium, and Schultzei group). In each case, the mtDNA COI and the D1 and D2 regions of the 28S rDNA were analysed. The latter regions were chosen based on the fact that they appear to contain major phylogenetic information at the considered taxonomic level [18, 30, 51] especially for Culicoides [27, 28, 58].

Material and methods

Collection of Culicoides and identification

Midges were collected in Ecuador, France, Gabon, Madagascar and Tunisia between 2009 and 2010 using ultraviolet CDC traps and standard CDC miniature light traps (John W. Hock Company, Gainesville, FL, USA). Insects were stored in ethanol 95°. Specimens were identified to species, species group or subgenera (Table 1; Figs. 1–4) using different morphological keys [13, 14, 17, 21, 22, 24, 31, 36, 62].
Table 1.

List of Culicoides spp. used in the phylogenetic analyses, classification of Borkent, 2014.

SubgenusTaxa present
CountryNo. (codification)GenBank accession number
GroupSpeciesCOID1D2
Anilomyia C. metagonatus ECEC-meta-1-D458 KY707782 KF286339
C. chiopterus FRFR-chio1-P6C61 KY707805 KF286340
C. dewulfi FRFR-dew1-P5C46 HM022877 KF286341
FR-dew2- P3C17* HM022878
C. dubitatus MAMA-dub1-D358 KY707796 KF286342
GAGA-dub2- D558 KY707795 KF286343
MAMA-dub3 D379 KY707797 KF286344
Avaritia C. imicola TUTU-im1-S4Cf3 KJ729975 KF286345
TU-im2-S6Cf111* KJ729976
C. kibatiensis MAMA-kib1-D364* KY707781 KF286348
MA-kib2-D401
C. miombo MAMA-mio1-D394* KY707800 KF286349
MA-mio2-D412
C. sp. GAGA-img1-D439 KY707791 KF286346
GA-img2-D550 KY707790 KF286347
C. obsoletus FRFR-obs-1-P2C12*
FR-obs-2-D223 HM022852 KF286350
C. scoticus FRFR-sco1-P7C5 HM022875 KF286351
FR-sco2 P6C25 HM022857 KF286352
Beltranmyia C. circumscriptus TUTU-cir2-B1Cf31* KJ729971 KF286353
C. impunctatus FRFR-del2-D91 KY707808 KF286355
FR-del3-D94*
Culicoides C. lupicaris FRFR-lup1-P5C34 KY707776 KF286354
C. newsteadi TUTU-new1-S3CM42 KKJ729989 KF286356
TU-new2-S6Cf51 KJ729990 KF286357
C. punctatus FRFR-pun1-D327 KY707806 KF286358
FR-pun2-D242*
FR-pun3-D250*
Haematomyidium C. limonensis ECEC-para2-D460 KY707809 KF286360
C. paraensis ECEC-para1-D423 KF286359
Hoffmania Guttatus group C. diabolicus ECEC-bat1-D451 KY707783 KF286361
EC-bat2-D453 KY707787 KF286362
C. guttatus ECEC-gu1-D481 KY707785 KF286363
Hylas group C. hylas ECEC-hyl1-D449 KF286364
C. pseudoheliconiae ECEC-hyl2-D505 KY707784 KF286365
Meijerehelea C. distinctipennis GAGA-leu1 D555 KY707792 KF286366
Monoculicoides C. nubeculosus FRFR-nub-D179 KF178273 KF286367
C. parroti FRFR-par-D27 KF178276 KF286368
C. puncticollis TUTU-pco1-B7CM49 KJ730002 KF286369
TU-pco2-B7Cf60* KJ29998 KJ730024
Oecacta C. cataneii/ TUTU-cag1-B2CM132 KJ729968 KF286388
C. gejgelensis TU-cag2-B2Cf34 KJ729967 KF286389
C. festivipennis FRFR-fes2-D66 KY707777 KF286377
FR-fes3-D103*
C. jumineri TUTU-jum1-S3Cf124 KJ729979 KF286383
TU-jum2-S3CM1* KJ729980 KF286384
TU-jum3-S3CM71 KJ729982 KF286384
C. sahariensis TUTU-sah2-B28Cf6* KJ30004 KF286387
Remmia C. enderleini MAMA-scg2-D378* KF186429 KF286379
MA-scg3-D363
C. kingi TUTU-kin1-S3Cf167 KJ729985 KF286338
C. nevilli MAMA-scg1-D357 KF186428 KF286378
Trithecoides C. fulvithorax/C. ochrothorax GAGA-fuo1-D437 KY707793 KF286371
Wirthomyia C. segnis FRFR-seg1-D113* KY707778 KF286372
FR-seg2-D108
Unplaced 1 Carpenteri group C. belemensis ECEC-bel1-D477 KY707786 KF286373
Unplaced 2 Fluvialis group C. castillae ECEC-cast1-D474 KF286374
EC-cast2-D472*
C. tetrathyris likeECEC-fug3-D470 KY707788 KF286375
C. tetrathyris ECEC-tetra1-D517 KF286370
Unplaced 3 Leoni group C. glabellus ECEC-leg1-D528 KY707789 KF286376
Unplaced 4 Milnei group C. moreli MAMA-mor1-D420 KY707804 KF286382
C. zuluensis MAMA-mig1-D388 KY707802 KF286380
MA-mig2-D365 KY707803 KF286381
Unplaced 5 C. paolae TUTU-pao2-S5CM1 KJ729992 KF286385
TU-pao3-S3Cf66 KJ729991 KF286386

EC: Ecuador; FR: France; GA: Gabon; MA: Madagascar; TU: Tunisia. D1D2 rDNA sequences (*specimens having identical sequences) and COI sequences).

Figure 1.

Culicoides wing pattern details of species included in our study. The specimen codes are linked with the table. The wings were photographed using a ×4 lens. Bars = 200 μm.

Figure 4.

Culicoides wing pattern details of species included in our study. The specimen codes are linked with the table. The wings were photographed using a ×10 lens. Bars = 200 μm.

Culicoides wing pattern details of species included in our study. The specimen codes are linked with the table. The wings were photographed using a ×4 lens. Bars = 200 μm. Culicoides wing pattern details of species included in our study. The specimen codes are linked with the table. The wings were photographed using a ×10 lens. Bars = 200 μm. Culicoides wing pattern details of species included in our study. The specimen codes are linked with the table. The wings were photographed using a ×10 lens. Bars = 200 μm. Culicoides wing pattern details of species included in our study. The specimen codes are linked with the table. The wings were photographed using a ×10 lens. Bars = 200 μm. List of Culicoides spp. used in the phylogenetic analyses, classification of Borkent, 2014. EC: Ecuador; FR: France; GA: Gabon; MA: Madagascar; TU: Tunisia. D1D2 rDNA sequences (*specimens having identical sequences) and COI sequences). Specimen identification was performed after mounting the head, wings and spermathecae on microscope slides, leaving the thorax and legs for subsequent DNA extraction [2]. Consequently, we were unable to identify C. fulvithorax and C. ochrothorax without their thorax that includes their discriminant character. Moreover, the accurate identification of females of some closely related specimens, such as C. cataneii and C. gejgelensis, was not possible [36]. Two specimens from Gabon, belonging to subgenus Avaritia, present new morphological characters compared with currently known species; hereafter we will refer to these specimens as Culicoides sp. At least two specimens of each species were sequenced, except for 13 species from which only one specimen was available (Table 1; Figs. 1–4). A total of 68 specimens belonging to 42 species were analysed: 34 species belonging to the subgenera Anilomyia, Avaritia, Beltranmyia, Culicoides, Haematomyidium, Hoffmania, Meijerehelea, Monoculicoides, Oecacta, Remmia, Trithecoides and Wirthomyia, and 8 species belonging to unclassified groups [11]. Species distribution included: (i) Ecuadorian specimens (12 species) assigned to subgenera Anilomyia, Haematomyidium and Hoffmania and the unclassified groups Carpenteri group, Fluvialis group and Leoni group; (ii) French specimens (11 species) assigned to subgenera Avaritia, Culicoides, Monoculicoides, Oecacta and Wirthomyia; (iii) four Gabonese specimens assigned to subgenera: Avaritia, Meijerehelea and Trithecoides; (iv) Malagasy specimens (7 species) assigned to subgenera Avaritia, Remmia and to the Milnei group and (v) Tunisian specimens (8 species) assigned to six subgenera (Avaritia, Beltranmyia, Culicoides, Monoculicoides, Oecacta, Remmia) and 1 species was C. paolae (incertae sedis).

DNA extraction and PCR amplification

DNA was extracted from individual Culicoides using the QIAmp DNA Mini Kit (Qiagen GmbH, Hilden, Germany), following the manufacturer’s instructions. Polymerase chain reactions (PCRs) for D1-D2 and cytochrome oxidase genes were performed in a 50 μL volume using 5 μL of DNA solution and 50 pmol of primers C′1 (5′-ACCCGCTGAATTTAAGCAT-3′) and D2 (5′-TCCGTGTTTCAAGACGGG-3′) for D1-D2 [18] and C1J1718 (5′-GGAGGATTTGGAAATTGATTAGT-3′), C1N2191 (5′-CAGGTAAAATTAAAATATAAACTTCTGG-3′) or LepF (5′-ATTCAACCAATCATA AAGATA TTGG-3′) and LepR (5′-TAAACTTCTGGATGTCCAAAAAATCA-3′) for COI [2, 57]. Amplification conditions for D1-D2 were: initial denaturation step at 94 °C for 3 min followed by 35 cycles of denaturation at 94 °C for 30 s, annealing at 58 °C for 90 s and extension at 68 °C for 60 s followed by a final extension at 68 °C for 10 min. For COI amplification, conditions included: (1) initial denaturation step at 95 °C for 15 min, then 5 cycles at 95 °C for 40 s, 45 °C for 40 s, 72 °C for 1 min, were followed by 45 cycles at 95 °C for 40 s, 50 °C for 40 s, 72 °C for 1 min and a final extension step at 72 °C for 20 min for C1J1718/C1N2191, and (2) initial denaturation step at 94 °C for 3 min, 5 cycles of denaturation at 94 °C for 30 s, annealing at 45 °C for 90 s and extension at 68 °C for 60 s were followed by 35 cycles of denaturation at 94 °C for 30 s, annealing at 51 °C for 90 s, and extension at 68 °C for 60 s and a final extension at 68 °C for 10 min for LepF1/LepR. Amplicons were analysed by electrophoresis in 1.5% agarose gel stained with 0.1% ethidium bromide. All sequences obtained are available in GenBank (Table 1).

Phylogenetic analyses

Most sequences of COI and D1-D2 genes were analysed separately and concatenated, except for four specimens (Culicoides castillae, C. hylas, C. paraensis and C. tetrathyris). The phylogenetic tree was constructed using both non-probabilistic (maximum parsimony, MP) and probabilistic approaches (Bayesian inference, BI), using Atrichopogon sp. and Forcipomyia sp. as outgroups [7]. Maximum parsimony analysis was carried out with PAUP* 4.0b10 [59] by selecting the heuristic search option with tree bisection reconnection branch swapping (TBR) and 1000 random sequence addition (RSA). All sites were equally weighed but a step matrix (ponderation TS/TV = 2) was applied. Sequences were edited and aligned manually using Se-Al [52]. The insertion of several interlocked gap zones was therefore necessary to align sequences. Sequence alignment was performed respecting the criteria defined by [6]: (1) to minimise the number of inferred mutations (number of steps); (2) to prefer substitution to insertion-deletion, and (3) to prefer transitions to transversions because they have a higher probability of occurrence. A total of 423 bp and 613 bp were analysed for COI and D1-D2, respectively. For the model-based approach, the best-fit model of nucleotide substitutions was computed with jModelTest v2.1.4 [16] using the Akaike Information Criterion (AIC). The Hasegawa, Kishino and Yano (HKY) +I+Γ model was indicated as the best-fit model for the mitochondrial COI gene. The general time reversible (GTR) +I+Γ model was indicated as the best-fit model for both D1-D2 and concatenated markers (rDNA marker D1D2 and COI). Bayesian analyses were carried out using MrBayes 3.1.2 [54] with 4,000,000 generations, 10,000 of the saved trees were discarded, and the 30,000 remaining were used to construct the resulting BI tree. The robustness of tree nodes was assessed by clade posterior probability values (CPP). A first maximum parsimony analysis on COI sequences showed trees of 2786 steps with a consistency index (CI of 0.225) and a retention index (RI of 0.443). The codon position 3 in the COI gene was found to have saturated transition information as compared to position 1+2 (data not shown). Therefore, we decided to remove the codon position 3. A new analysis was performed with COI codon position 1+2 including 10,000,000 generations. As many as 25,000 of the saved trees were discarded. Both COI and D1-D2 sequences were analysed independently using the BI and MP approaches and a concatenated fragment using the BI approach.

Results

A first run of amplification was carried out using the C1J1718/C1N2191 primers. Pseudogenes were amplified for six specimens from Ecuador (C. castillae, C. hylas, C. pseudoheliconiae, C. guttatus, C. tetrathyris and C. diabolicus) and one specimen from Gabon (C. distinctipennis). Consequently, the COI of these specimens was tentatively amplified and sequenced using the LepF1/LepR primers. Finally, the COI of all these specimens was obtained, except for Culicoides castillae and C. tetrathyris. For the parsimony analysis, the sequences for COI with 127 variable characters, of which 97 were parsimony-informative were analysed. The most parsimonious trees obtained were 557 steps long. With D1D2 sequences, 203 variable characters were found, out of which 169 were parsimony-informative. The most parsimonious trees obtained were 639 steps long. The ribosomal gene had a much higher proportion of parsimony-informative sites than the mitochondrial gene (Table 2).
Table 2.

Information about DNA sequences used in this study, in relation to one of the most parsimonious trees resulting from the combined analysis and mapped in a combined matrix.

DNA regionCOID1-D2
Aligned matrix (bp)/number of characters included423661
Number of constant sites352456
Number of variable sites127203
Number of parsimoniously informative characters97169
Number of variable parsimony uninformative characters3034
Tree length (L)557639
CI0.2270.436
RI0.3610.689
Information about DNA sequences used in this study, in relation to one of the most parsimonious trees resulting from the combined analysis and mapped in a combined matrix. Topologies of the trees obtained by MP and BI are presented in the Appendices. Our main findings were that: (i) the MP COI tree (data not shown) is unusable; (ii) the MP D1D2 tree (Appendix 1) shows that the subgenera Monoculicoides, Culicoides, Haematomyidium and Remmia were monophyletic, whereas the subgenera Hoffmania and Avaritia were paraphyletic; (iii) the BI COI tree (Appendix 2) shows that the subgenera Avaritia, Culicoides, Hoffmania, Monoculicoides and Remmia were monophyletic, whereas the subgenus Oecacta was paraphyletic, and (iv) the BI D1D2 tree (Appendix 3) shows that the subgenera Culicoides, Hoffmania, Monoculicoides and Remmia were monophyletic, whereas the subgenus Oecacta was paraphyletic. Results of the concatenated Bayesian inference analysis of Culicoides relationships are shown in Figure 5 and presented below.
Figure 5.

Bayesian tree resulting from the phylogenetic analysis of the concatenated dataset according to the best-fit partitioning strategy. Robustness of nodes is indicated by the posterior probability values (%).

Bayesian tree resulting from the phylogenetic analysis of the concatenated dataset according to the best-fit partitioning strategy. Robustness of nodes is indicated by the posterior probability values (%). According to the combined data analysis, the genus Culicoides was clearly monophyletic. The subgenus Culicoides was also monophyletic: Tunisian specimens of C. newsteadi were grouped in one clade (CPP = 100) with French specimens of C. punctatus, C. lupicaris and C. impuctatus. The subgenus Hoffmania (species from Ecuador) displayed two clusters with C. batesi and C. guttatus as the sister group of the Hylas group. The tree shows that the subgenus Hoffmania was monophyletic (CPP = 100), and in the position of sister species of the Milnei group and the subgenera Trithecoides, Anilomyia and Avaritia. The subgenus Avaritia was also monophyletic (CPP = 100). C. chiopterus, C. obsoletus and C. scoticus were grouped together as a clade, the sister group of all other members of the subgenus Avaritia (CPP = 78). C. dewulfi was shown to be closely related to the new Culicoides species from Gabon (CPP = 92). The analysis also revealed that the Imicola group was monophyletic. C. imicola s. st. is the sister species of C. miombo (CPP = 100) and C. kibatiensis is the sister species of them (CPP = 86). The Schultzei group, which includes C. enderleini, C. nevilli and C. kingi, was monophyletic (CPP = 100). The subgenus Monoculicoides, including C. nubeculosus, C. parroti and C. puncticollis, was monophyletic (CPP = 100). Culicoides distinctipennis (subgenus Meijerehela) from Madagascar and C. festivipennis (subgenus Oecacta) from France exhibited similar wing patterns (white spots on the wing apex) but they were not grouped in our cladogram (CPP = 61). The Milnei group, which includes C. zuluensis and C. moreli, was monophyletic (CPP = 53). Bayesian analysis showed that the subgenus Oecacta was paraphyletic: C. circumscriptus – subgenus Beltranmyia and Culicoides distinctipennis – subgenus Meijerehela are included within the members of this subgenus, and C. sahariensis is separated from the other members of subgenus Oecata. The monophyly of the Fluvialis group (CPP = 74) is discussed due to the inclusion in this clade of the incertae sedis C. paolae. The subgenus Haematomyodium is the sister group of the Fluvialis group (BI, CPP = 91).

Discussion

The present study is, to our knowledge, the first systematic molecular analysis carried out on the genus Culicoides at a large taxonomic level, not focusing on closely related species (42 species belonging to 12 subgenera and unclassified groups collected in Afrotropical, Neotropical and Palaearctic areas). The data, based on COI and D1-D2 sequences, were subjected to a range of MP and BI analyses in order to explore the phylogenetic signal. To date, other molecular phylogenies, based mainly on COI sequences, were commonly restricted to a single subgenus or group located in Afrotropical or Palaearctic areas [29], except for one containing 37 Palaearctic species representing 10 subgenera [1]. Phylogenies studies based on ITS1 and ITS2 have also been reported on 25 French species [49] and 9 Italian species [26], respectively. Pseudogenes are homologous sequences arising from currently or evolutionarily active genes that have lost their ability to function as a result of disrupted transcription or translation. They may contain stop codons, repetitive elements, have frame shifts and/or lack of transcription. However, they might retain gene-like features [65]. Pseudogenes have been identified in the mitochondrial genome of insects, also widely used in phylogenetic studies, with the risk of obtaining erroneous results during phylogenetic reconstruction [34]. To our knowledge, this is the first report of pseudogenes in Culicoides. The subgenera Anilomyia, Beltranmyia, Meijerehelea, Trithecoides, Wirthomyia and some groups are only represented by a single species. Consequently, further studies are required to discuss their monophylies. We demonstrate here the monophyly of the subgenus Monoculicoides that is in agreement with previous studies (ITS1: [49]; COI: [1, 55]). Similarly, our results suggest that the subgenus Culicoides is also monophyletic, as previously reported by another study based on COI sequences [1], whereas studies based on ITS1 [32, 49], ITS2 [32] and COI [55] sequences suggested the paraphyly of this subgenus. Within this group, our findings suggest (according to molecular [33, 43, 48] and morphological studies [17, 38, 57]) the validity of C. lupicaris, whereas it is sometimes synonymised with C. delta [11]. Monophyly of the subgenus Avaritia is clearly supported by the present study, which corroborates previous results obtained from both morphological [46] and molecular data based on COI [15] and ITS1 [32, 49]. However, the paraphyly of the subgenus Avaritia has also been reported by analysis of COI [1, 50, 55] and ITS2 [32] sequences, taking into account the phylogenetic position of C. dewulfi outside this subgenus. Most authors erroneously included C. dewulfi in the obsoletus complex or the obsoletus group [25, 41]. Our results clearly suggest that C. dewulfi does not belong to this group (Fig. 1) as previously emphasised by different molecular markers [25, 28, 43, 56]. Based on morphological, morphometrical and molecular data [2, 23, 28, 46, 47], C. obsoletus and C. scoticus are two closely related species belonging to the Obsoletus complex [5, 28, 60]. According to [42], the Imicola group in the Afrotropical region includes C. imicola and C. miombo. C. kibatiensis could present similar characters to C. trifasciellus, and subgroup trifasciellus is distinct from Culicoides imicola and the Imicola group [24]. C. trifasciellus belongs to the Orientalis group of the Afrotropical region [41] and its taxonomic position with C. kibatiensis is not resolved. Our results show that C. imicola is a cryptic species of C. miombo, C. kibatiensis being the sister species of the clade formed by these two species. Future studies are needed to carry out investigations at a subgeneric scale in order to determine the species status of the most important vector subgenera. Interestingly, the specimens collected in Gabon belong to the subgenus Avaritia and show unique morphological characters and nucleotide substitutions (COI). Therefore, a morphological description of this new species of Culicoides is in progress. Our study validates the subgenus Remmia (= Schultzei group) as a valid subgenus, outside of the subgenus Oecacta [3, 11], and includes C. kingi [4, 14]. The status of the Schultzei group and its subgeneric affiliation has been disputed. It is sometimes included in the subgenus Remmia Glukhova [11, 19, 43], the latter considered by some authors as a junior synonym of the subgenus Oecacta (Poey) [14, 64] or sometimes unclassified [62]. Unlike many authors, we believe the subgenus Oecacta includes only the Furens group and/or perhaps the Schultzei group, if the first group is excluded from the latter as previously suggested [3, 14]. Future integrative taxonomy studies [27-29] should define this group with more precision, especially its relationships with the subgenus Oecacta. C. paolae from Tunisia is included in the Fluvialis group constituted by New World species in our sampling (C. castillae, C. fluvialis, C. tetrathyris and C. tetrathyris like). The hypothesis that Culicoides paolae could be a synonym of the Central American species C. jamaicensis seems fair. Indeed, C. paolae and C. jamaicensis present huge morphological similarities [8, 44], thus raising the possibility that it was introduced into the Mediterranean Region at the time of Columbus, and was only discovered 500 years later and named C. paolae [44]. The subgenus Hoffmania is monophyletic with two clades (Hylas and Guttatus groups). To our knowledge, no recent data exist in the literature. This subgenus includes 82 extant species from South America and Asia. The wide geographic distribution warrants further studies of the subgenus Hoffmania using phylogenetic and integrative approaches at several scales. The Milnei group is monophyletic. The species constituting this group have been described from the Afrotropical region [11] and transmit several pathogenic organisms, e.g. Akabane virus, BTV, Letsitele virus, unidentified virus isolates (Cul. 5/69), Dipetalonema perstans and Dipetalonema streptocerca [10]. To our knowledge, this group has been understudied and future integrative taxonomy studies [27-29] should more precisely define this group [24]. Palaearctic, Neotropical and Afrotropical Culicoides are mixed in our cladogram (Fig. 5) and there is no geographic clustering, indicating that the palaeobiogeography of the genus Culicoides does not follow the generalised tracks [37]. Consequently, Culicoides settled in different areas by wind [45], animal carriage [39] or by human activities [44]. For example, C. imicola specimens collected in Laos, Thailand, Vietnam and Reunion Island are of African origin [40]. In a Culicoides catalogue [11], 42 fossils were recorded from ambers from the Dominican Republic, the USA, Canada, Germany, Poland, the Baltic area and Russia, suggesting a Laurasian origin of the genus. In conclusion, this study showed that the subgenera Monoculicoides, Culicoides, Haematomyidium, Hoffmania and Avaritia (including the main vectors of bluetongue disease) are monophyletic, whereas the subgenus Oecacta is paraphyletic. As proposed by Harrup et al. [29], a cladistic reinterpretation of the subgeneric classification of Culicoides, and species delimitations, should represent Culicoides taxonomy. Integrative taxonomy (including morphological, mitochondrial and other markers) and modern morphometric analysis (based on wing characteristics including type specimens) can help taxonomists as suggested by Hadj-Henni et al.
  46 in total

1.  Molecular analysis of the biting midges (Diptera: Ceratopogonidae), based on mitochondrial cytochrome oxidase subunit 2.

Authors:  Andrew T Beckenbach; Art Borkent
Journal:  Mol Phylogenet Evol       Date:  2003-04       Impact factor: 4.286

2.  [Culicoides of Neotropical Region (Diptera Ceratopogonidae)].

Authors:  O P FORATTINI
Journal:  Arq Fac Hig Saude Publica Univ Sao Paulo       Date:  1957-12

3.  Phylogeny of the subgenus Culicoides and related species in Italy, inferred from internal transcribed spacer 2 ribosomal DNA sequences.

Authors:  L M Gomulski; R Meiswinkel; J-C Delécolle; M Goffredo; G Gasperi
Journal:  Med Vet Entomol       Date:  2006-06       Impact factor: 2.739

4.  Potential new Culicoides vector of bluetongue virus in northern Europe.

Authors:  R Meiswinkel; P van Rijn; P Leijs; M Goffredo
Journal:  Vet Rec       Date:  2007-10-20       Impact factor: 2.695

5.  [Molecular phylogenies and nucleotide insertion-deletion].

Authors:  V Barriel
Journal:  C R Acad Sci III       Date:  1994-07

6.  First occurrence of Culicoides obsoletus-transmitted Bluetongue virus epidemic in Central Europe.

Authors:  Heinz Mehlhorn; Volker Walldorf; Sven Klimpel; Birgit Jahn; Friedhelm Jaeger; Josef Eschweiler; Bernd Hoffmann; Martin Beer
Journal:  Parasitol Res       Date:  2007-03-26       Impact factor: 2.289

7.  The taxonomy of Culicoides vector complexes - unfinished business.

Authors:  R Meiswinkel; L M Gomulski; J-C Delécolle; M Goffredo; G Gasperi
Journal:  Vet Ital       Date:  2004 Jul-Sep       Impact factor: 1.101

8.  [Molecular systematics of Phlebotominae: a pilot study. Paraphyly of the genus Phlebotomus].

Authors:  J Depaquit; S Perrotey; G Lecointre; A Tillier; S Tillier; H Ferté; M Kaltenbach; N Léger
Journal:  C R Acad Sci III       Date:  1998-10

9.  Identification of cryptic species of Culicoides (Diptera: Ceratopogonidae) in the subgenus Culicoides and development of species-specific PCR assays based on barcode regions.

Authors:  N Pagès; F Muñoz-Muñoz; S Talavera; V Sarto; C Lorca; J I Núñez
Journal:  Vet Parasitol       Date:  2009-07-19       Impact factor: 2.738

10.  The emergence of Schmallenberg virus across Culicoides communities and ecosystems in Europe.

Authors:  Thomas Balenghien; Nonito Pagès; Maria Goffredo; Simon Carpenter; Denis Augot; Elisabeth Jacquier; Sandra Talavera; Federica Monaco; Jérôme Depaquit; Colette Grillet; Joan Pujols; Giuseppe Satta; Mohamed Kasbari; Marie-Laure Setier-Rio; Francesca Izzo; Cigdem Alkan; Jean-Claude Delécolle; Michela Quaglia; Rémi Charrel; Andrea Polci; Emmanuel Bréard; Valentina Federici; Catherine Cêtre-Sossah; Claire Garros
Journal:  Prev Vet Med       Date:  2014-03-18       Impact factor: 2.670

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  9 in total

1.  The tree that hides the forest: cryptic diversity and phylogenetic relationships in the Palaearctic vector Obsoletus/Scoticus Complex (Diptera: Ceratopogonidae) at the European level.

Authors:  Antoine Mignotte; Claire Garros; Laetitia Gardès; Thomas Balenghien; Maxime Duhayon; Ignace Rakotoarivony; Laura Tabourin; Léa Poujol; Bruno Mathieu; Adolfo Ibañez-Justicia; Ahmet Deniz; Aleksandar Cvetkovikj; Bethan V Purse; David W Ramilo; Despoina Stougiou; Doreen Werner; Dubravka Pudar; Dušan Petrić; Eva Veronesi; Frans Jacobs; Helge Kampen; Isabel Pereira da Fonseca; Javier Lucientes; Javier Navarro; Josue Martinez de la Puente; Jovana Stefanovska; Kate R Searle; Khalid Khallaayoune; C Lorna Culverwell; Magdalena Larska; Maria Bourquia; Maria Goffredo; Marina Bisia; Marion England; Matthew Robin; Michela Quaglia; Miguel Ángel Miranda-Chueca; René Bødker; Rosa Estrada-Peña; Simon Carpenter; Simona Tchakarova; Sofia Boutsini; Ståle Sviland; Stefanie M Schäfer; Zanda Ozoliņa; Zanda Segliņa; Zati Vatansever; Karine Huber
Journal:  Parasit Vectors       Date:  2020-05-20       Impact factor: 3.876

2.  DNA barcoding and molecular identification of field-collected Culicoides larvae in the Niayes area of Senegal.

Authors:  Mame Thierno Bakhoum; Mamadou Sarr; Assane Gueye Fall; Karine Huber; Moussa Fall; Mbacké Sembène; Momar Talla Seck; Karien Labuschagne; Laetitia Gardès; Mamadou Ciss; Geoffrey Gimonneau; Jérémy Bouyer; Thierry Baldet; Claire Garros
Journal:  Parasit Vectors       Date:  2018-12-03       Impact factor: 3.876

3.  Culicoides paolae and C. circumscriptus as potential vectors of avian haemosporidians in an arid ecosystem.

Authors:  Jesús Veiga; Josué Martínez-de la Puente; Radovan Václav; Jordi Figuerola; Francisco Valera
Journal:  Parasit Vectors       Date:  2018-10-01       Impact factor: 3.876

4.  Assigning Culicoides larvae to species using DNA barcoding of adult females and phylogenetic associations.

Authors:  Tao Jin; Claudia Husseneder; Lane Foil
Journal:  Parasit Vectors       Date:  2022-09-30       Impact factor: 4.047

Review 5.  Oropouche Fever: A Review.

Authors:  Hercules Sakkas; Petros Bozidis; Ashley Franks; Chrissanthy Papadopoulou
Journal:  Viruses       Date:  2018-04-04       Impact factor: 5.048

6.  Species diversity, host preference and arbovirus detection of Culicoides (Diptera: Ceratopogonidae) in south-eastern Serbia.

Authors:  Ana Vasić; Nemanja Zdravković; Dragoș Aniță; Jovan Bojkovski; Mihai Marinov; Alexander Mathis; Marius Niculaua; Elena Luanda Oșlobanu; Ivan Pavlović; Dušan Petrić; Valentin Pflüger; Dubravka Pudar; Gheorghe Savuţa; Predrag Simeunović; Eva Veronesi; Cornelia Silaghi
Journal:  Parasit Vectors       Date:  2019-01-25       Impact factor: 3.876

7.  A phylogenetic analysis of the biting midges belonging to Culicoides Latreille (Diptera: Ceratopogonidae) subgenus Avaritia using molecular data.

Authors:  Bruno Mathieu; Claire Garros; Thomas Balenghien; Ermanno Candolfi; Jean-Claude Delécolle; Catherine Cêtre-Sossah
Journal:  Parasit Vectors       Date:  2020-05-12       Impact factor: 3.876

8.  Cul o 2 specific IgG3/5 antibodies predicted Culicoides hypersensitivity in a group imported Icelandic horses.

Authors:  Fahad Raza; Renata Ivanek; Heather Freer; Dania Reiche; Horst Rose; Sigurbjörg Torsteinsdóttir; Vilhjálmur Svansson; Sigríður Björnsdóttir; Bettina Wagner
Journal:  BMC Vet Res       Date:  2020-08-10       Impact factor: 2.741

9.  Dissecting the Species-Specific Virome in Culicoides of Thrace.

Authors:  Konstantinos Konstantinidis; Maria Bampali; Michael de Courcy Williams; Nikolas Dovrolis; Elisavet Gatzidou; Pavlos Papazilakis; Andreas Nearchou; Stavroula Veletza; Ioannis Karakasiliotis
Journal:  Front Microbiol       Date:  2022-03-07       Impact factor: 5.640

  9 in total

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