Introduction
Mosquitoes are the major arthropod vectors of human infectious diseases across the world (Becker et al., Reference Becker, Petriae, Zgomba, Baose, Madon and Kaiser2010). Aedes mosquitoes are able to transmit arboviral diseases including Yellow Fever, Dengue, Chikungunya and Zika viruses (Gardner and Ryman, Reference Gardner and Ryman2010; Vasilakis et al., Reference Vasilakis, Cardosa, Hanley, Holmes and Weaver2011; Caglioti et al., Reference Caglioti, Lalle, Castilletti, Carletti, Capobianchi and Bordi2013; Gould et al., Reference Gould, Pettersson, Higgs, Charrel and de Lamballerie2017). As for Anopheles mosquitoes, they include the main vectors of malaria (Carnevale et al., Reference Carnevale, Rovert, Manguin, Corbel, Fontenille, Garros, Rogier and Roux2009). Malaria is the primary cause of morbidity and mortality in Africa, mainly amongst the children under the age of 5 and pregnant women (WHO, 2016). There is still no effective vaccine for several mosquito-borne diseases; entomological surveys and vector control measures are hence essential to combat them (Deilgat et al., Reference Deilgat, Geduld and Drebot2014).
Mosquito vectors may feed on multiple hosts, including humans but also various domesticated or wild animals. This may result in successive or interrupted blood meals. A better understanding of the trophic preferences of mosquito vectors is an important factor to evaluate the risk of transmission of zoonotic diseases (Githeko et al., Reference Githeko, Service, Mbogo, Atieli and Juma1994; Shililu et al., Reference Shililu, Maier, Seitz and Orago1998; Coulibaly et al., Reference Coulibaly, Kone, Barry, Emerson, Coulibaly, Niare, Beavogui, Traore, Vernick and Riehle2016; Ndenga et al., Reference Ndenga, Mulaya, Musaki, Shiroko, Dongus and Fillinger2016). Studies on the interaction between Anopheles malaria vectors and their trophic preferences are critical to assess the risk of human exposure to Plasmodium parasites (Fyodorova et al., Reference Fyodorova, Savage, Lopatina, Bulgakova, Ivanitsky, Platonova and Platonov2006). In Senegal, when the blood meals of 1886 freshly fed Anopheles gambiae Giles were studied, it was shown that most blood meals had been taken on a single host (40.1% on humans and 37.1% on animals). Mixed blood meals were mostly human–animal mix than non-human strictly (Ngom et al., Reference Ngom el, Ndione, Ba, Konaté, Faye, Diallo and Dia2013). In Kenya, mixed blood meals were shown to be predominant in culicine mosquitoes such as Culex quinquefasciatus. Up to 94% of the mosquitoes, according to the species, had fed on different hosts, including humans and Rift Valley Fever animal hosts (Muturi et al., Reference Muturi, Muriu, Shililu, Mwangangi, Jacob, Mbogo, Githure and Novak2008). Other reports highlighted that Anopheles mosquitoes fed both on humans and their domestic animals such as cattle and goats (Muriu et al., Reference Muriu, Muturi, Shililu, Mbogo, Mwangangi, Jacob, Irungu, Mukabana, Githure and Novak2008). The identification of vertebrate hosts in mixed blood meals of mosquitoes may also be critical to adapt control strategies. For example, in 2016, an unusually high frequency of animal and mixed human–animal blood meals in the major malaria vector An. gambiae s.s. was revealed in the western Kenya Highlands. The authors suggested that this was linked with the vectors' response to increased bed net coverage in the area and the close location of livestock as people at night, opening the door for livestock-targeted interventions for malaria control (Ndenga et al., Reference Ndenga, Mulaya, Musaki, Shiroko, Dongus and Fillinger2016).
Several methods are used to determine the origin of mosquito blood meals, including precipitin tests, counter-current immunoelectrophoresis and enzyme-linked immunosorbent assays (ELISA) (Fyodorova et al., Reference Fyodorova, Savage, Lopatina, Bulgakova, Ivanitsky, Platonova and Platonov2006; Thomas et al., Reference Thomas, Ravishankaran, Justin, Asokan, Mathai, Valecha, Montgomery, Thomas and Eapen2017). Serological tests are affordable and widely used but limited by the availability of antibodies for uncommon species (Beier et al., Reference Beier, Perkins, Wirtz, Koros and Diggs1988) and samples that remain non-reactive (Mucci et al., Reference Mucci, Júnior, de Paula, Scandar, Pacchioni, Fernandes and Consales2015), for example.
Molecular approaches based on host DNA amplification can be highly specific (Prior and Torr, Reference Prior and Torr2002; Kent and Norris, Reference Kent and Norris2005; Kent, Reference Kent2009; Munnoz et al., Reference Munnoz, Eritja, Alcaide, Montalvo, Soriguer and Figuerola2011; Logue et al., Reference Logue, Keven, Cannon, Reimer, Siba, Walker, Zimmerman and Serre2016; Ndenga et al., Reference Ndenga, Mulaya, Musaki, Shiroko, Dongus and Fillinger2016), although they are curbed by their running costs, turnaround time and the comprehensiveness of online sequence databases such as NCBI GenBank (Oshaghi et al., Reference Oshaghi, Chavshin, Vatandoost, Yaaghoobi, Mohtarami and Noorjah2006; Egizi et al., Reference Egizi, Healy and Fonseca2013).
Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) is a protein profiling-based technique that uses a laser energy absorbing matrix to generate a protein spectrum from an organism of interest (Seng et al., Reference Seng, Rolain, Fournier, La, Drancourt and Raoult2010). It has revolutionized clinical microbiology by making it possible to rapidly identify bacteria at a low cost (Seng et al., Reference Seng, Drancourt, Gouriet, La, Fournier, Rolain and Raoult2009, Reference Seng, Abat, Rolain, Colson, Lagier, Gouriet, Fournier, Drancourt, La and Raoult2013; Schubert and Kostrzewa, Reference Schubert and Kostrzewa2017). In recent years, the effectiveness of MALDI-TOF MS for identifying arthropods (Tandina et al., Reference Tandina, Almeras, Koné, Doumbo, Raoult and Parola2016, Reference Tandina, Laroche, Davoust, Doumbo O and Parola2018a; Yssouf et al., Reference Yssouf, Almeras, Raoult and Parola2016; Diarra et al., Reference Diarra, Almeras, Laroche, Berenger, Kone, Bocoum, Dabo, Doumbo, Raoult and Parola2017; Laroche et al., Reference Laroche, Berenger, Gazelle, Blanchet, Raoult and Parola2017b; Halada et al., Reference Halada, Hlavackova, Risueno, Berriatua, Volf and Dvorak2018; Mewara et al., Reference Mewara, Sharma, Kaura, Zaman, Yadav and Sehgal2018) and mosquito blood meals identification (Niare et al. Reference Niare, Berenger, Dieme, Doumbo, Raoult, Parola and Almeras2016, Reference Niare, Tandina, Davoust, Doumbo, Raoult, Parola and Almeras2017b; Tandina et al., Reference Tandina, Laroche, Davoust, Doumbo O and Parola2018a,Reference Tandina, Niaré, Laroche, Koné, Diarra, Ongoiba, Berenger, Doumbo, Raoult and Parolab) has been reported. Indeed, in preliminary studies, MALDI-TOF MS was able to identify the host blood source from An. gambiae Giles and Aedes albopictus mosquitoes artificially fed on human, horse, sheep, rabbit, mouse, rat and dog blood up to 24 h post-feeding (Niare et al., Reference Niare, Berenger, Dieme, Doumbo, Raoult, Parola and Almeras2016, Reference Niare, Tandina, Davoust, Doumbo, Raoult, Parola and Almeras2017b; Tandina et al., Reference Tandina, Niaré, Laroche, Koné, Diarra, Ongoiba, Berenger, Doumbo, Raoult and Parola2018b).
The goal of the present study was to determine whether MALDI-TOF MS could be extended to the identification of mixed and successive blood meals.
Anopheles gambiae Giles, Anopheles coluzzii and Ae. albopictus mosquitoes were artificially engorged on human blood and subsequently fed on the blood of other vertebrates after complete digestion of the first meal. For the identification of mixed blood meals by MALDI-TOF MS, the mosquitoes were engorged with blood mixed at different concentrations from different vertebrate hosts to mimic interrupted blood meals.
Materials and methods
Ethical statement
Animal studies were conducted in line with Directive 2010/63/EU of the European Parliament and of the Council of 22 September 2010, and in compliance with French Government Decree No. 2013-118 of 1 February 2013. The study was approved by the local Animal Ethics Committee (Comité d'Ethique en Expérimentation Animale, Marseille) and the Institutional Animal Care Committee in Marseille, France. Human blood was obtained from the national French blood bank, the ‘Etablissement Français du Sang’ (EFS) accredited by the Institutional Animal Care Committee of IHU Méditerranée Infection.
Mosquito rearing and maintenance
Anopheles gambiae Giles, An. coluzzii and Ae. albopictus mosquitoes were reared in our laboratory (Marseille, France) using standard methods at a temperature of 26 ± 1°C, a relative humidity of 80 ± 10% and a 12 h photoperiod in incubators (Panasonic cooled incubator) (Awono-Ambene et al., Reference Awono-Ambene, Diawara and Robert2001). Anopheles gambiae Giles and An. coluzzii colonies were established from laboratory colonies from the ‘Institut de Recherche pour le Développement’ (IRD, Montpellier, France) and IRD Dakar, Senegal, respectively. Aedes albopictus mosquitoes were originally sampled at the larval stage in a pond in Marseille, France in 2011 and reared in our laboratory.
Larvae were reared until the pupal stage in trays containing 1 L of distilled water supplemented with fish food (TetraMinBaby, Tetra Gmbh, Herrenteich, Germany). Pupae were collected daily and transferred into a mosquito cage (Bug Dorm 1 insect rearing cage, BioQuip products, Taiwan). Adults were fed with a 10% glucose solution until the day of the experiment. Three days after emergence, female adult mosquitoes were artificially fed through a Parafilm-membrane (Hemotek membrane feeding systems, Discovery Workshops, UK) using fresh heparinized human blood for 2 h. Engorged female mosquitoes were transferred to another cage and were fed with a 10% glucose solution on cotton.
Successive blood meals
To assess the ability of MALDI-TOF MS to identify the last blood meal taken, 60 An. gambiae Giles, 60 An. coluzzii and 124 Ae. albopictus were firstly engorged on human blood. Only one host donor was used per species to limit intraspecific variability. Twelve hours after feeding, 10 Anopheles and 20 Aedes abdomens were submitted to MALDI-TOF MS analysis, while, for each mosquito species, the remaining specimens were dispatched equally in six cages. Three days after the first blood meal (after complete digestion), the mosquitoes from each cage were engorged for a second time on six distinct types of vertebrate blood (goat, cow, chicken, dog, sheep and rabbit). The abdomens of all fully engorged mosquitoes were submitted to MALDI-TOF MS analysis 12 h after feeding.
Mixed blood meals
To determine the ability of MALDI-TOF MS to identify mixed blood meals from mosquito abdomens, the mosquitoes were fed on human blood mixed with dog blood or sheep blood at ratios of 75/25%, 50/50% and 25/75% (Table 1). To prevent the coagulation of blood mixtures, the various mixtures of blood were previously heated at 56°C in a dry bath for 30 min, as previously described (Nossel and Niemetz, Reference Nossel and Niemetz1965). Only one host donor was used per species to limit intraspecific variability.
Number of mosquito samples submitted to MS analysis
The mosquitoes' abdomens were collected 12 h after feeding and then submitted to MALDI-TOF-MS analysis. Human, sheep and dog blood was mixed at equal concentrations and given to 25 An. gambiae Giles, 10 An. coluzzii and 23 Ae. albopictus (Table 1).
A flowchart illustrating the main steps in the experimental workflow for the arthropod spectra database creation and blood meal identification by MALDI-TOF MS is presented in Fig. 1.
Experimental workflow for mixed and successive blood meal identification using MALDI-TOF MS.
Sample preparation for MALDI-TOF MS analysis
Only fully engorged mosquitoes were included in the MS analysis. Engorged females were killed at −20°C prior to dissection. Each mosquito abdomen was separated from the thorax using a sterile scalpel for each sample. The dissected abdomens were manually crushed using sterile pestles (Fischer Scientific, Strasbourg, France) in a 1.5 mL tube containing 50 μL of HPLC-grade water. Ten microlitres of the supernatant of the crushed abdomens were homogenized in 20 μL of 70% formic acid and 20 μL of 50% acetonitrile (Fluka, Buchs, Switzerland) and centrifuged at 10 000 rpm for 20 s. One microlitre of supernatant of each sample was deposited on the MALDI-TOF target plate in quadruplicate (Bruker Daltonics, Wissembourg, France) and covered with 1 μL of CHCA matrix solution composed of saturated α-cyano-4-hydroxycynnamic acid (Sigma, Lyon, France), 50% acetonitrile (v/v), 2.5% trifluoroacetic acid (v/v) (Sigma) and HPLC-grade water. After drying for several minutes at room temperature, the target was introduced into the Microflex LT MALDI-TOF Mass Spectrometer (Bruker Daltonics, Germany) for analysis. To control loading on mass spectra steel, matrix quality and MALDI-TOF MS apparatus performance, the matrix solution was loaded in duplicate onto each MALDI-TOF MS plate with or without a bacterial test standard (Bruker protein Calibration Standard I), as previously described (Niare et al., Reference Niare, Berenger, Dieme, Doumbo, Raoult, Parola and Almeras2016).
MALDI-TOF MS parameters
Protein mass profiles were acquired using a Microflex LT MALDI-TOF Mass Spectrometer, with detection in the linear positive-ion mode at a laser frequency of 50 Hz within a mass range of 2–20 kDa. The acceleration voltage was 20 kV, and the extraction delay time was 200 ns. Each spectrum corresponded to ions obtained from 240 laser shots performed in six regions of the same spot and automatically acquired using the AutoXecute function of the Flex Control v.2.4 software (Bruker Daltonics, Germany). The spectrum profiles obtained were visualized using Flex analysis v.3.3 software and exported to ClinProTools version v.2.2 (Bruker Daltonics, Germany) and MALDI-Biotyper v.3.0. (Bruker Daltonics, Germany) for data processing (smoothing, baseline subtraction and peak picking) and evaluation with cluster analysis.
MALDI-TOF MS spectra analyses
The reproducibility and specificity of MALDI-TOF MS spectra from the abdomens of mosquitoes which had taken successive or mixed blood meals were evaluated by comparing the four spectra of each sample tested using the Flex Analysis and ClinProTools 2.2 software. The gel view tool of ClinProTools 2.2 software was used to control intraspecific reproducibility. As a control, 1 μL of host blood was mixed with 20 μL of 70% formic acid and 20 μL of 50% acetonitrile and deposited on the MALDI-TOF target plate in quadruplicate and covered with 1 μL of CHCA matrix solution.
The spectra from An. gambiae Giles mixed blood meals of human/dog blood (n = 4), human/sheep blood (n = 5) and the triple mixture of human/dog/sheep blood (n = 5) were selected to upgrade our arthropod spectra database (Table 1). As for Ae. albopictus, the reference spectra of human/dog blood (n = 7), human/sheep blood (n = 7) and the triple mixture of human/dog/sheep blood (n = 3), and An. coluzzii the reference spectra of human/dog blood (n = 3), human/sheep blood (n = 6) and the triple mixture of human/dog/sheep blood (n = 1) were selected to upgrade the database (Table 1). All these 41 spectra were selected for the database on the basis of their high intensity, reproducibility and global spectrum quality. Details of all spectra selected to upgrade the database are presented in Table 1. This database includes the spectra obtained from various arthropod species and mosquitoes' abdomens fed on 25 distinct host bloods (Homo sapiens, Equus caballus, Ovis aries, rabbit, Balb/C mouse, Rattus norvegicus, Canis familiaris, Bos taurus, Capra hircus, Gallus gallus, Equus asinus, Tapirus indicus, Tapirus terrestris, Carollia perspicillata, Thraupis episcopus, Erythrocebus patas, Callithrix pygmaea, Leopardus pardalis, Arctictis binturong, Antidorcas marsupialus, Panthera onca, Papio hamadryas, Camelus dromedarius, Ammotragus lervia and Sus scrofa) (Additional file: Table S1).
Main Spectrum Profiles (MSPs) were automatically created from the four spectra per sample based on an algorithm using the information on peak position, intensity and frequency from the BioTyper MSP Creation Standard Method. The maximum mass error of each single spectrum was 2000 Da, and the desired mass error for the MSP was 200 Da.
Blind tests
Blind test 1
The abdomen-derived spectra from An. gambiae Giles which had taken successive blood meals were submitted for a blind test analysis. Similarly, the spectra of the abdomens of the mosquitoes fed with mixed blood meals (without those selected to be entered in the MS database) were subjected to a blind test analysis against the database (DB1) (Table 1). The results are presented in the MALDI-Biotyper software v.3.3. as log score values (LSVs) that consists of the degree of signal intensity matching between the queried mass spectra and the reference spectra. LSVs range from 0 to 3. LSVs allow a good assessment of the reproducibility between a queried spectrum and a reference spectrum, as they are the result of the thorough comparison of peak positions and intensity between those two spectra (MALDI BioTyper Help, Bruker). An LSV was obtained for each spectrum of the blind tested samples. The samples were considered to be correctly and significantly identified when the spectrum queried had an LSV ≥1.8 (Laroche et al., Reference Laroche, Almeras, Pecchi, Bechah, Raoult, Viola and Parola2017a; Niare et al., Reference Niare, Berenger, Dieme, Doumbo, Raoult, Parola and Almeras2016).
Blind test 2
MS spectra obtained from engorged abdomens of Ae. albopictus and An. coluzzii after successive and mixed blood meals were queried against the arthropod spectra database upgraded with reference spectra of An. gambiae Giles (DB1). Aedes albopictus and An. coluzzii reference spectra (Table 1) for successive and mixed blood meals were then added to DB1 to create DB2 (Additional file: Table S2).
Blind test 3
The spectra of the abdomens of the Ae. albopictus and An. coluzzii fed with mixed blood meals (with the exception of those selected to be entered in the database) were tested against DB2. An LSV was obtained for each of the four spots of each specimen tested. A flowchart of blind test analyses is available as supplementary data (Additional file: S3)
Results
Successive blood meals
Comparison of the MS spectra from An. gambiae Giles (n = 60), Ae. albopictus (n = 124) and An. coluzzii (n = 60) abdomens after successive blood meals using the Flex Analysis software indicated a high quality (Fig. 2) and reproducibility of the spectra, allowing the inclusion of all spectra in the study. Querying An. gambiae Giles against DB1 (Additional file: Table S1) after successive blood meals, showed reliable and 100% accurate identification of the last blood meal (n = 60) (Table 2). The LSVs for the specimens ranged between 1.826 and 2.764. According to preliminary studies, the samples are considered to be correctly and significantly identified when the spectrum queried had an LSV ≥1.8 (Niare et al., Reference Niare, Berenger, Dieme, Doumbo, Raoult, Parola and Almeras2016; Laroche et al., Reference Laroche, Almeras, Pecchi, Bechah, Raoult, Viola and Parola2017a). The spectra from the engorged abdomens of Ae. albopictus and An. coluzzii were then queried against DB1. We observed 80% correct identification with a mean score of 2.242. When tested against DB2, 100% of the blood meals were correctly identified, with a mean score of 2.593 (Table 3). The LSVs for the specimens ranged between 1.855 and 2.873.
Representative abdomen-derived MALDI-TOF MS spectra from Anopheles gambiae Giles, Anopheles coluzzii and Aedes albopictus fed on sheep (S1,S2,S3) and cow (C1,C2,C3). All mosquitoes were collected 12 h post-feeding. Au = arbitrary units; m/z = mass-to-charge ratio.
MALDI-TOF MS identification of An. gambiae successive blood meals
All mosquitos were firstly engorged on human blood and then fed on goat, dog, cow, sheep and rabbit blood.
MALDI-TOF MS identification of successive blood meals of Aedes albopictus and Anopheles coluzzii
(x)Number of specimens included in each analysis.
DB, database
Mixed blood meal identification by MALDI-TOF MS
Regarding the human/dog and human/sheep blood mixtures, a correct identification was observed for all 25 An. gambiae Giles mosquitoes that fed on mixed blood meals, with LSVs ranging from 2.055 to 2.771 (Table 4).
MALDI-TOF MS identification of Anopheles gambiae Giles mixed blood meals
DB, database; BT, blind test.
♦No spectra blind tested because all were used as reference.
The query of spectra from engorged abdomens of Ae. albopictus and An. coluzzii against DB1 containing reference spectra of engorged An. gambiae Giles only revealed 51.51% and 51.42% correct identification of blood mixtures from human/dog and human/sheep blood, respectively. After upgrading the database to DB2, we obtained accurate identification for 100% of the blood meals, with LSVs ranging from 1.762 to 3 (Table 5 for human/dog mixed blood meals, Table 6 for human/sheep mixed blood meals).
Influence of mosquito species on MALDI-TOF MS identification of Aedes albopictus and Anopheles coluzzii fed on human/dog mixed blood meals human/dog mixed blood meals
(x)Number of specimens used for blind test analysis.
DB, database.
Influence of mosquito species on MALDI-TOF MS identification of Aedes albopictus and Anopheles coluzzii fed on human/sheep mixed blood meals
(x)Number of specimens used for blind test analysis.
Finally, the 20 An. gambiae which had been fed with a triple mixture of blood (human/dog/sheep) were subjected to MS analyses. Their abdomens provided good quality spectra and the following blind test led to unambiguous, accurate identification with LSVs ranging from 2.258 to 2.846 (Table 4). Aedes albopictus and An. coluzzii mosquitoes fed with the same triple mixture revealed 36.36% correct identification when blind tested against DB1. After upgrading the database, we observed 100% correct identification of the blood meals with LSVs ranging from 2.070 to 2.725 in the blind test against DB2 (Table 7).
Influence of mosquito species on MALDI-TOF MS identification of Aedes albopictus and Anopheles coluzzii triple blood meals
(x)Number of specimens used for blind test analysis.
DB, database.
Discussion
MALDI-TOF MS consists of three major steps. Firstly, the organism of interest is mixed with a suitable matrix material and applied to a metal plate. Secondly, the co-crystallized sample is irradiated with laser pulses, effecting desorption and ‘soft’ ionization of the organism. Thirdly, molecules are accelerated in an electric field and separated through a flight tube in linear or reflectron mode, according to their mass-to-charge ratio. The MS protein profiles obtained are used to discriminate between each specimen tested (Yssouf et al., Reference Yssouf, Almeras, Raoult and Parola2016).
MALDI-TOF MS has been shown to be reliable for the identification of single blood meals both in laboratory and field conditions (Tandina et al., Reference Tandina, Laroche, Davoust, Doumbo O and Parola2018a; Tandina et al., Reference Tandina, Niaré, Laroche, Koné, Diarra, Ongoiba, Berenger, Doumbo, Raoult and Parola2018b). The purpose of the present study was to artificially mimic what happens in the field when a blood meal is completed on another animal host before (mixed blood meal design) or after (successive blood meals design) digestion of the first meal. Livestock and domestic animals were included in the study as they can be the source of several vector-borne pathogens such as Rift Valley Fever (RVF) (Linthicum et al., Reference Linthicum, Britch and Anyamba2016), Crimean-Congo haemorrhagic virus (CCHV) (Bente et al., Reference Bente, Forrester, Watts, McAuley, Whitehouse and Bray2013), ehrlichiosis (Unver et al., Reference Unver, Perez, Orellana, Huang and Rikihisa2001) and tularaemia for rabbits (Petersen et al., Reference Petersen, Mead and Schriefer2009). In this proof-of-concept, only mosquitoes were included but further study is conceivable to assess the ability of MALDI-TOF MS to successfully identify the blood meals of other arthropods of medical and veterinary interest.
MALDI-TOF MS was also able to successfully identify mosquito blood meals up to 24 h post feeding using engorged abdomens (Niare et al., Reference Niare, Berenger, Dieme, Doumbo, Raoult, Parola and Almeras2016; Tandina et al., Reference Tandina, Niaré, Laroche, Koné, Diarra, Ongoiba, Berenger, Doumbo, Raoult and Parola2018b). This time point may limit MS identification but Sella's index allows selection of fully engorged mosquitoes, which can be numerous when caught in houses in the morning or in early-collected traps (Tandina et al., Reference Tandina, Laroche, Davoust, Doumbo O and Parola2018a). The quality of the spectra is stable until blood digestion begins. Spectra from freshly but partially engorged mosquitoes should be identifiable too using MALDI-TOF MS but may not be stable up to 24 h.
Artificial feeding laboratory conditions will probably never mimic the real conditions of mosquitoes feeding in the field or the reality of variable stages of blood digestion at the time of mosquito sampling. However, the MALDI-TOF MS approach was previously validated on field samples collected in Comoros and Mali (Niare et al., Reference Niare, Almeras, Tandina, Yssouf, Bacar, Toilibou, Doumbo, Raoult and Parola2017a; Tandina et al., Reference Tandina, Laroche, Davoust, Doumbo O and Parola2018a).
The 24 h limit for relevant identification can be circumvented by picking up the mosquito traps early. The blood meals were correctly identified from mosquitoes' abdomens crushed on Whatman filter papers (WFP) by MALDI-TOF MS (Niare et al., Reference Niare, Almeras, Tandina, Yssouf, Bacar, Toilibou, Doumbo, Raoult and Parola2017a; Tandina et al., Reference Tandina, Laroche, Davoust, Doumbo O and Parola2018a).
However, some studies have shown that mixed or multiple blood meals can amount to up to 10% of the mosquitoes in the field (Logue et al., Reference Logue, Keven, Cannon, Reimer, Siba, Walker, Zimmerman and Serre2016; Moreno et al., Reference Moreno, Saavedra, Bickersmith, Prussing, Michalski, Tong, Vinetz and Conn2017).
This is considered significant in terms of influencing the transmission of pathogens and maintaining residual infectious diseases. For the identification of mixed blood meals using a proteomic approach, Önder et al. developed an experimental design using blacklegged ticks (Ixodes scapularis) (Onder et al., Reference Onder, Shao, Kemps, Lam and Brisson2013). Their approach successfully identified mixed blood meals from two vertebrates, depending on the concentration ratios. As for the identification of mixed bacterial species, Lin Zhang et al. reported that the major peaks in multi-bacterial samples could be assigned to those found in the respective spectra of each bacterium (Zhang et al., Reference Zhang, Smart and Sandrin2015).
In our study, the last animal blood meal was correctly and unambiguously identified, although mosquitoes had firstly fed on human blood. This may be due to the interval of days (three) between the first and second blood meals of mosquitoes. The first blood meal was indeed digested by the mosquitoes. We obtained accurate identification with high LSVs (100%>1.8). This threshold is congruent with previously published studies on the use of MALDI-TOF MS to identify arthropods and their blood meals (Yssouf et al., Reference Yssouf, Almeras, Raoult and Parola2016). Interestingly, for closely related mosquito species, such as An. gambiae Giles and An. coluzzii, the mosquito species had little influence on blood meal identification, especially for successive blood meals. Indeed, with the exception of chicken blood, all An. coluzzii mosquito blood meals were correctly identified using An. gambiae Giles reference spectra. This was, however, not the case for Ae. albopictus, for which the identification of the last blood meal was more random if the reference spectra of the engorged abdomen of the corresponding species were not present in the database. These data suggest that mosquito proteins can have an impact on the identification of the blood meal, although the impact appears to be low between species belonging to closely related genera.
For mixed blood meals, the spectra from Ae. albopictus and even An. coluzzii fed with human/dog and human/sheep blood mixtures, respectively, revealed 51.51% and 51.42% correct identification if the database only contains the reference spectra of the engorged abdomen of An. gambiae mosquitoes. This could be explained by the diversity of reference spectra needed for accurate identification of mixed blood meal identification. Greater identification was obtained for Aedes and An. coluzzii mosquitoes when reference spectra corresponding to several blood mix ratios were available in the database (data not shown). The only reference spectra available for An. gambiae mixed blood meals were obtained from mosquitoes which were fed 50/50 blood mixtures. This bias could explain the low percentages of identification for mixed blood meals. This probably means that a larger database may be needed to identify blood meals from several mosquito species. However, an increasing number of laboratories (Raharimalala et al., Reference Raharimalala, Andrianinarivomanana, Rakotondrasoa, Collard and Boyer2017; Halada et al., Reference Halada, Hlavackova, Risueno, Berriatua, Volf and Dvorak2018; Mewara et al., Reference Mewara, Sharma, Kaura, Zaman, Yadav and Sehgal2018; Arfuso et al., Reference Arfuso, Gaglio, Abbate, Caracappa, Lupia, Napoli, Giarratana, Latrofa, Giannetto, Otranto and Brianti2019; Chavy et al., Reference Chavy, Nabet, Normand, Kocher, Ginouves, Prévot, Vasconcelos Dos Santos, Demar, Piarroux and de Thoisy2019; Rothen et al., Reference Rothen, Githaka, Kanduma, Olds, Pflüger, Mwaura, Bishop and Daubenberger2016; Sambou et al., Reference Sambou, Aubadie-Ladrix, Fenollar, Fall, Bassene, Almeras, Sambe-Ba, Perrot, Chatellier, Faye, Parola, Wade, Raoult and Mediannikov2015; Yssouf et al., Reference Yssouf, Almeras, Raoult and Parola2016) are applying MALDI-TOF to MS medical entomology and Raharimalala et al. have also highlighted the need for sharing and have expressed interest in an international database (Raharimalala et al., Reference Raharimalala, Andrianinarivomanana, Rakotondrasoa, Collard and Boyer2017). Many reference spectra are also available on request or directly online (Lawrence et al., Reference Lawrence, Batovska, Webb, Lynch, Blacket, Šlapeta, Parola and Laroche2019), substantially facilitating database creation. The MALDI-TOF mass spectrometry approach may also appear to be limited by the cost of the device but when the MALDI-TOF MS device is bought for clinical microbiology purposes, it can also be used for medical entomology at no additional cost. For example, in Senegal, Masse et al. have successfully identified the Culicoides spp. using protein-based MALDI-TOF MS, which is economically advantageous compared to molecular tools, some sequences of which are not available in Genbank (Sambou et al., Reference Sambou, Aubadie-Ladrix, Fenollar, Fall, Bassene, Almeras, Sambe-Ba, Perrot, Chatellier, Faye, Parola, Wade, Raoult and Mediannikov2015).
ELISA is a widely used approach that can be reliable for identifying frequently encountered hosts but much more challenging for wild hosts for which enzyme-labelled antibodies are not yet commercially available (Beier et al., Reference Beier, Perkins, Wirtz, Koros and Diggs1988). In previous studies on Culicidae, up to 35% of the blood meals could not be identified using ELISA or were attributed to an unidentified mammal or bird (Apperson et al., Reference Apperson, Harrison, Unnasch, Hassan, Irby, Savage, Aspen, Watson, Rueda, Engber and Nasci2002). As for molecular approaches, DNA prepared from the engorged abdomen not only can be used for blood meal identification but also can be used for arthropod identification or microorganism detection by PCR (Maleki-Ravasan et al., Reference Maleki-Ravasan, Oshaghi, Javadian, Rassi, Sadraei and Mohtarami2009).
The major advantages of using MALDI-TOF MS are its rapidity, effectiveness and reliability in identifying successive blood meals and mixed blood meals. In this study, only a small quantity of host blood was used for MALDI-TOF MS analysis, and the remaining material can be used for other studies, including the legs to identify mosquitoes at the species level (Yssouf et al., Reference Yssouf, Socolovschi, Flaudrops, Ndiath, Sougoufara, Dehecq, Lacour, Berenger, Sokhna, Raoult and Parola2013; Nebbak et al., Reference Nebbak, Willcox, Bitam, Raoult, Parola and Almeras2016).
In this study, we concluded that the species of mosquito has very little impact on blood meal identification if they are closely related. Anopheles coluzzi and An. gambiae Giles belong to the same complex, and are therefore not representative of the diversity of the Anopheles genus. More species of this genus should be included to draw conclusions regarding the impact of mosquito species on blood meal identification. Furthermore, as illustrated with Ae. albopictus mosquitoes in this study, identification of blood meals using a database created with a very different mosquito species can be unreliable. Nevertheless, the databases can be easily shared in order to circumvent this drawback.
Under an epidemiological perspective for the transmission of human pathogens, mosquito vectors should feed on a person or an animal and subsequently, on other human beings. In this preliminary study, we used a first human blood meal and the second blood meal on different vertebrate species (mostly domestic animals). These hosts were selected as some may act as reservoirs for zoonotic pathogens, and were available in our laboratory. To date, the performance of MALDI-TOF MS has not been determined yet for the distinction of human bloods, challenging the interpretation of MS identification of successive or mixed human blood meals.
Conclusion
Herein this paper, we provide more data to support the fact that MALDI-TOF MS appears as a rapid, reliable and cost-effective method for identifying An. gambiae Giles, An. coluzzii and Ae. albopictus blood meals. Correct identification was observed in all samples tested after the database was upgraded. Although MS profiling has been shown to be effective in this regard, our technique still needs to be tested on specimens collected in the field where feeding parameters are less controlled than in laboratory conditions. All spectra of the arthropod spectra database are available on request for other collaborative research teams.
Conflict of interest
The authors declare that they have no competing interests.
Ethical standards
Human blood was obtained from the national French blood bank, the ‘Etablissement Français du Sang’ (EFS) accredited by the human and animal ethics committees of the Institutional Animal Care Committee of IHU Méditerranée Infection. Consents for blood donation were collected at EFS. Animal studies were conducted in line with Directive 2010/63/EU of the European Parliament and of the Council of 22 September 2010, and in compliance with French Government Decree No. 2013-118 of 1 February 2013. The study was approved by the local Ethics Committee (Comité d'Ethique en Expérimentation Animale, Marseille) and the Institutional Animal Care Committee in Marseille, France.
Availability of data and materials
All datasets regarding this study are included in the main paper and the additional supporting files.
Supplementary material
The supplementary material for this article can be found at https://doi.org/10.1017/S003118201900163X
Financial support
This work has been carried out with the support of the Investissements d'Avenir programme of the French government, managed by the French National Research Agency, including ANR-11-IDEX-0001-02 (A*MIDEX project) and ANR-10-IAHU-03.
Author contributions
AL, PP and ML designed the experiments. FT and SN performed the experiments. FT, SN, ML and LA analysed the data. PP, OKD, BD and DR provided reagents/materials/analysis tools. FT, ML and NS wrote the paper. ML and PP coordinated the writing of the paper. All authors reviewed the final version.
