Research Article |
Corresponding author: Luis M. Hernández-Triana ( lhernandt@gmail.com ) Academic editor: Art Borkent
© 2019 Luis M. Hernández-Triana, Victor A. Brugman, Nadya I. Nikolova, Ignacio Ruiz-Arrondo, Elsa Barrero, Leigh Thorne, Mar Fernández de Marco, Andreas Krüger, Sarah Lumley, Nicholas Johnson, Anthony R. Fooks.
This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Citation:
Hernández-Triana LM, Brugman VA, Nikolova NI, Ruiz-Arrondo I, Barrero E, Thorne T, de Marco MF, Krüger A, Lumley S, Johnson N, Fooks AR (2019) DNA barcoding of British mosquitoes (Diptera, Culicidae) to support species identification, discovery of cryptic genetic diversity and monitoring invasive species. ZooKeys 832: 57-76. https://doi.org/10.3897/zookeys.832.32257
|
Correct mosquito species identification is essential for mosquito and disease control programs. However, this is complicated by the difficulties in morphologically identifying some mosquito species. In this study, variation of a partial sequence of the cytochrome c oxidase unit I (COI) gene was used for the molecular identification of British mosquito species and to facilitate the discovery of cryptic diversity, and monitoring invasive species. Three DNA extraction methods were compared to obtain DNA barcodes from adult specimens. In total, we analyzed 42 species belonging to the genera Aedes Meigen, 1818 (21 species), Anopheles Meigen, 1818 (7 species), Coquillettidia Theobald, 1904 (1 species), Culex Linnaeus, 1758 (6 species), Culiseta Felt, 1904 (7 species), and Orthopodomyia Theobald, 1904 (1 species). Intraspecific genetic divergence ranged from 0% to 5.4%, while higher interspecific divergences were identified between Aedes geminus Peus, 1971/Culiseta litorea (Shute, 1928) (24.6%) and Ae. geminus/An. plumbeus Stephens, 1828 (22.5%). Taxonomic discrepancy was shown between An. daciae Linton, Nicolescu & Harbach, 2004 and An. messeae Falleroni, 1828 indicating the poor resolution of the COI DNA barcoding region in separating these taxa. Other species such as Ae. cantans (Meigen, 1818)/Ae. annulipes (Meigen, 1830) showed similar discrepancies indicating some limitation of this genetic marker to identify certain mosquito species. The combination of morphology and DNA barcoding is an effective approach for the identification of British mosquitoes, for invasive mosquitoes posing a threat to the UK, and for the detection of hidden diversity within species groups.
DNA extraction methods, hidden genetic diversity, molecular identification, vector species
The family Culicidae includes approximately 112 genera and 3,547 described species (
Current approaches to species identification still rely heavily upon morphology-based procedures, which typically require substantial training and may not always provide a good resolution on a specimen’s identity due to homogeneity between life stages of different species and the presence of species complexes (
Until recently, thirty-four mosquito species have been recorded in the United Kingdom (UK) (Medlock et al. 2015,
There is, however, a paucity of data on the utility of molecular methods for species identification of the British mosquito fauna. During the first development of a molecular assay for the identification of hybrids and sibling species within Culex pipiens s.l.,
In the present paper, we apply the COI DNA barcoding approach in support of the identification of native British mosquitoes and known invasive species in continental Europe. In addition, we assessed the DNA barcode variability using genetic distance methods to detect cryptic diversity across the taxa.
Ten locations were visited between March and October in the years 2012 to 2015 and specimens were collected following the protocols of
The source of specimens from invasive species is as follows: Ae. albopictus – Luke Alphey, UK (colony from Malaysia); Aleksandra Ignjatović-Ćupina, Serbia (wild caught); Ae. aegypti – Shahida Begum, UK (colony from West Africa); Ae. atropalpus (Coquillet, 1902), Ae. japonicus (Theobald, 1901), Ae. koreicus (Edwards, 1917) – Norbert Becker and Daniel Hoffman, Germany, and Ignacio Justicia-Ibáñez, Holland (all wild caught); Culex tritaeniorhynchus Giles, 1901, Filiz Gunay, Turkey (wild caught); Cx. quinquefasciatus Say, 1823 [for sequences from NCBI and further details Suppl. material
Description of key collecting sites with reference to habitat and the main livestock present. Further information can be found in
Locality/Farms | County | Coordinates | Habitat | Main livestock types present |
---|---|---|---|---|
1. ADAS Arthur Rickwood | Cambridgeshire | 52.422560, -0.098302 | Grazing farm | Sheep |
2. Church Farm | Oxfordshire | 51.715807, -1.380813 | Rural area | Cattle, sheep |
3. Coombelands Farm | Surrey | 51.360241, -0.652256 | Mixed farm | Cattle, sheep, pigs, horses |
4. Elmley Nature Reserve | Kent | 51.377587, 0.783954 | Grazing marsh | Cattle, sheep |
5. Glendell Livery, Mill Lane | Surrey | 51.290499, -0.652256 | Mixed woodland | Horses |
6. Frimley | Surrey | 51.313037, -0.745237 | Peri-urban | n/a |
7. Mudchute Farm | Greater London | 51.491732, -0.009367 | City farm | Cattle, sheep, pigs, horses |
8. Northney Farm, Hayling Island | Hampshire | 50.828166, -0.962151 | Arable farm | Cattle |
9. White Lodge, Bisley | Surrey | 51.322255, -0.637692 | Mixed woodland | Cattle |
10. Bartley Heath | Hampshire | 50.919701, -1.565337 | Woodland | Cattle, horses, deer |
11. Dee Marsh | Cheshire | 52.8322, -3.7656 | Salt marsh | n/a |
Three methods were used for DNA extraction from two mosquito tissue types (
For molecular species identification using the COI DNA barcoding region, the protocols of
Paired bi-directional sequence traces were combined to produce a single consensus sequence (i.e., the full-length 658 bp barcode sequence). To achieve this, individual forward and reverse traces were oriented, edited, and aligned using the Sequencer (v.4.5; Genes Codes Corporation, Ann Harbour, MI), GenDoc (v. 2.6.02) and ClustalX sequence analysis programs (
In general, adding 1–2 legs to molecular grade water and then sonicating them for 10 min proved to be an effective method for obtaining DNA (30 min total time); however, only 41 barcodes (43.1%) yielded sufficient sequence data for inclusion in our analysis (Table
DNA extraction methods and percentage of PCR amplification success in obtaining COI DNA barcodes from mosquitoes.
Extraction method | No. plates / samples | Time per plate | Amplification success n (%) | Observations |
---|---|---|---|---|
1. Legs directly into molecular grade water and sonicated for 10 min | 1 plate / 95 samples | 30 min | 41 (43.1%) | High sequencing failure (54 samples) |
2. Legs directly into alkaline lysis buffer and sonicated for 10 min (Hotshot) | 5 plates / 475 samples | 1hr each plate | 429 (90.3%) | Target length barcodes obtained |
3. Abdomen processed using Qiagen kit | 5 plates / 475 samples | Only 32 samples per 4hr session for DNA extraction for each plate | 306 (64.4%) | Target length barcodes obtained. Vertebrate DNA amplified |
In total, we analyzed DNA barcode sequences for 42 species belonging to the genera Aedes (21 species), Anopheles (7 species), Coquillettidia (1 species), Culex (6 species), Culiseta (7 species), and Orthopodomyia (1 species) (Table
Even though in most cases individuals of the same species clustered together, this was not the case for all species. Within the genus Aedes, the first incongruence was identified between Ae. sticticus (Meigen, 1838) and Ae. nigrinus. Although the majority of specimens from Belgium and the two UK specimens identified as Ae. sticticus (voucher number APHA-4-2015G06, APHA-4-2015G07) grouped together in a separate cluster with 100% bootstrap support, the only two available COI sequences of Ae. nigrinus in NCBI (KP942769, KP942770) grouped with the two specimens collected in Belgium, identified as Ae. sticticus (CULBE-833009, CULBE-833008) (Fig.
Within Anopheles maculipennis s.l. (
Our DNA barcodes dataset from the genus Culiseta separated certain species with high support bootstrap values such as Cs. alaskaensis (Ludlow, 1906), Cs. annulata (Schrank, 1776), Cs. longiareolata (Macquart, 1838) and Cs. subochrea (Edwards, 1921) (Fig.
The levels of sequence divergence were variable across the taxa, with conspecific individuals collected from a single site often exhibiting zero, or 0.07% to 0.1% divergence values, while other specimens showed higher percentages (see Table
List of mosquito species (in alphabetical order), country of collection, and number of specimens with DNA barcodes. Mean (%) intraspecific values of sequence divergence (Kimura2-Parameter distance) are shown with missing entries indicating that less than two specimens were analyzed. Asterisks indicate species complexes (*) and taxa with deep splits (**) in the Neighbor Joining tree; (***) taxa with above 2% genetic divergence. Invasive species in Europe are in Bold.
Species | Collection Country | n | mean % |
---|---|---|---|
Aedes aegypti | West Africa | 10 | 0 |
Aedes albopictus | Malaysia; Montenegro | 12 | 0.12 |
Aedes annulipes | Belgium | 12 | 0.89 |
Aedes atropalpus | Holland, USA, Canada | 11 | 0.69 |
Aedes cantans | Belgium; UK | 44 | 0.80 |
Aedes caspius | Belgium; UK | 40 | 0.78 |
Aedes cinereus | Sweden; UK | 30 | 0.61 |
Aedes communis | Belgium | 13 | 0.14 |
Aedes detritus | Belgium; UK | 44 | 0.66 |
Aedes dorsalis | USA; Canada | 8 | 0.16 |
Aedes flavescens | UK | 10 | 0.18 |
Aedes geminus | Germany | 4 | 0.58 |
Aedes geniculatuss | Belgium | 16 | 0.25 |
Aedes japonicus | Germany | 14 | 0.32 |
Aedes koreicus **;*** | Belgium; Holland; Hungary | 6 | 2.19 |
Aedes leucomelas | Sweden | 2 | 0.40 |
Aedes nigrinus | Sweden | 2 | 0.77 |
Aedes punctor | Belgium; UK | 47 | 0.67 |
Aedes rusticus | Belgium; UK | 31 | 0.07 |
Aedes sticticus | Belgium; UK | 10 | 1.29 |
Aedes vexans** | Belgium; Spain; Holland; Sweden; UK | 38 | 1.46 |
Anopheles algeriensis | Spain | 6 | 0.41 |
Anopheles atroparvus | UK; Belgium | 91 | 0.92 |
Anopheles claviger s.l. | Belgium; UK | 26 | 0.65 |
Anopheles daciae | Romania; UK | 28 | 0.76 |
Anopheles messeae | UK | 35 | 1.01 |
Anopheles plumbeus | Belgium; UK | 17 | 0 |
Coquillettidia richiardii | Belgium; UK | 42 | 0.07 |
Culex modestus | Germany; Romania; Turkey; UK | 49 | 0 |
Culex pipiens s.l.* | Belgium; UK | 187 | 0.06 |
Culex quinquefasciatus | Pakistan; Turkey | 12 | 0 |
Culex territans | Belgium; Germany | 5 | 2.05 |
Culex torrentium | Belgium; Germany; UK | 66 | 0.43 |
Culex tritaeniorhynchus | Turkey | 5 | 0.65 |
Culiseta alaskaensis | Canada | 3 | 1.13 |
Culiseta annulata | Belgium; UK | 192 | 0.05 |
Culiseta fumipennis | Belgium | 2 | 0.30 |
Culiseta litorea*** | Spain; UK | 9 | 5.35 |
Culiseta longiareolata | Spain | 5 | 0.12 |
Culiseta morsitans | Belgium; UK | 7 | 0.34 |
Culiseta subochrea | Spain; UK | 6 | 0.34 |
Orthopodomyia pulcripalpis | Austria | 1 | n/a |
In this study, we analyzed three species which are known, or suspected to be, part of species complexes [species which can only be distinguished either by cytotaxonomy or molecular methods (
The BIN counts in our dataset in BOLD of 721 full length barcode sequences from 1006 records in BOLD datasets found 21 BINs. The BIN analysis did not include sequences downloaded from the NCBI database. In general, 487 barcodes were assigned a BIN number, which represented 14 concordant BINs, three BINs were singletons (Cs. fumipennis BOLD:AAR2210, Ae. geniculatus BOLD:AAM5898, and Cs. subochrea BOLD:AAV90 75), and only four BINs (231 records) were discordant. The discordant BINs occurred at the species level, mainly because of the discrepancy in taxonomic information assigned to certain specimens, for example Ae. cinereus versus Ae. nr. cinereus, and Ae. caspius versus Ae. nr. caspius. Another discordance was in a single specimen identified as Cx. torrentium, which appears to be close to a BIN within Cx. pipiens s.l. (BOLD:AAA4751; Process ID:MSEMV855-15); however, morphological traits in the male genitalia and other analysis (CQ11 PCR) showed that it does belongs to Cx. torrentium (
This study assessed minimally destructive approaches that retained a significant part of the sample as a referenced voucher and the development of a COI DNA barcoding library in mosquitoes, and assessed the use of the variability within COI in support of species identification. Overall, the three extraction methods used provided sufficient DNA for subsequent analysis; however the modified Hotshot technique of
The majority of morphologically identified species in this study formed defined groups in the NJ analysis based on DNA barcodes (Fig.
With regard to Anopheles maculipennis s.l., although some morphological traits in egg structure provide an effective method to separate some members of this group, there is some dispute regarding the taxonomic status of An. daciae (e.g.
Moreover, COI DNA barcoding highlighted mis-identifications within the genus Culiseta (Cs. fumipennis, Cs. litorea and Cs. morsitans). These species are placed in the subgenus Culicella, and the females are difficult to identify because of their morphological similarity and absence of reliable diagnostic characteristics (Becker 2010,
Regarding non-indigenous mosquito species, although the adults of certain species are easily identified using morphological keys, for example Ae. aegypti and Ae. albopictus (Becker 2010,
In our dataset, Ae. koreicus and Cs. litorea showed higher intraspecific genetic divergences (Table
This study provides COI DNA barcoding data to support the molecular identification of mosquito species in the UK as well as invasive mosquito species, many of which are currently expanding their geographical range in continental Europe. We augment the barcoding data for anthropophilic species such as Ae. cinereus, Ae. detritus, Ae. sticticus, Ae. vexans, and Cx. modestus, as well as other species of veterinary importance such as the bridge vector Cs. annulata. Even though the majority of specimens were separated by COI, certain taxa could not be distinguished using this genetic marker within the genera Aedes, Anopheles and Culex. The use of COI also underlined identification problems in Culiseta species (Cs. fumipennis, Cs. litorea and Cs. morsitans) within the BOLD and NCBI databases. This finding supports the need for continuing research combining the use of molecular methodologies with morphological traits for species delineation in the Culicidae.
We thank the kind assistance of each of the field site employees without whom the work could not have been completed. Thanks are given to our colleagues at Public Health England (Jolyon Medlock, Alex Vaux, and Ben Cull), The Pirbright Institute (Simon Carpenter) and the Natural History Museum (Ralph Harbach) for discussions on mosquito ecology and distribution. Luis M. Hernández-Triana gives special thanks to Quetzaly Siller (Juarez University, Durango Estate) for the preparation of the distribution map. In addition, we also thank Luke Alphey (The Pirbright Institute, UK), Aleksandra Ignjatović-Ćupina (University of Novi Sad, Faculty of Agriculture, Serbia), Jenny Hesson (Liverpool School of Tropical Medicine, UK), Gale Chapman (School of Veterinary Medicine and Science, University of Nottingham, UK), Shahida Begum (London School of Hygiene and Tropical Medicine, UK), Norbert Becker and Daniel Hoffman (University of Heidelberg, Heidelberg, Germany), Renke Lühken (Bernhard Nocht Institute for Tropical Medicine, WHO Collaborating Centre for Arbovirus and Hemorrhagic Fever Reference and Research, Hamburg, Germany), Adolfo Justicia-Ibáñez (National Centre for Monitoring of Vector, Netherlands Food and Consumer Product Safety Authority, Ministry of Economic Affairs, Wageningen, Holland), and Filiz Gunay (Hacettepe University, Faculty of Science, Department of Biology, Ecology Section, ESRL Laboratories Turkey) for providing material for invasive species analyzed in this study. Funding for LMHT was provided by the UK Department for Environment Food and Rural Affairs (DEFRA), Scottish Government and Welsh Government through grants SV3045, and SE4113, and the EU Framework Horizon 2020 Innovation Grant, European Virus Archive (EVAg, grant no. 653316). Funding for VAB was additionally provided by the Biotechnology and Biological Sciences Research Council (BBSRC), grant BB/F016492/1 and the Pirbright Institute as part of his PhD project. All German collections between 2011 and 2014 were part of projects conducted by the Bernhard Nocht Institute for Tropical Medicine, Hamburg, Germany, and collaborators. This work was funded by the Leibnitz Association, grant no. SAW-2011-BNI-3, and the German Federal Ministry for Environment, Nature Conservation, Building and Nuclear Safety (BMUB) through the Federal Environment Agency (UBA), grant no. FKZ371148404.
Accession number(s) of COI DNA barcode sequences used in this study downloaded from the NCBI database or provided by colleagues
Data type: molecular data
Percentage of Interspecific (between groups) pairwise K2P genetic divergence of unique DNA barcodes (658 bp), representing 42 species of mosquitoes
Data type: molecular data
Explanation note: Highest pairwise distances (most divergent taxa) and lowest pairwise distances (most closely related taxa) are highlighted in yellow/bold, and green, respectively.