Skip to main content
Download PDF

Ecology, seasonality and host preferences of Austrian Phlebotomus (Transphlebotomus) mascittii Grassi, 1908, populations

Parasites & Vectors volume 14, Article number: 291 (2021) Cite this article

Abstract

Background

Sand flies are principal vectors of the protozoan parasites Leishmania spp. and are widely distributed in all warmer regions of the world, including the Mediterranean parts of Europe. In Central European countries, the sand fly fauna is still under investigation. Phlebotomus mascittii, a suspected but unproven vector of Leishmania infantum, is regarded as the most widely distributed species in Europe. However, many aspects of its biology and ecology remain poorly known. The aim of this study was to provide new data on the biology and ecology of Ph. mascittii in Austria to better understand its current distribution and potential dispersal.

Methods

Sand flies were collected by CDC light traps at four localities in Austria for 11 (2018) and 15 weeks (2019) during the active sand fly season. Climatic parameters (temperature, relative humidity, barometric pressure and wind speed) were retrospectively obtained for the trapping periods. Sand flies were identified by a combined approach (morphology, DNA barcoding, MALDI-TOF protein profiling), and blood meals of engorged females were analysed by DNA sequencing and MALDI-TOF mass spectrometry.

Results

In total, 450 individuals of Ph. mascittii were caught. Activity was observed to start at the beginning of June and end at the end of August with peaks in mid-July at three locations and early August at one location. Increased activity was associated with relatively high temperatures and humidity. Also, more individuals were caught on nights with low barometric pressure. Analysis of five identified blood meals revealed chicken (Gallus gallus) and equine (Equus spp.) hosts. Sand fly abundance was generally associated with availability of hosts.

Conclusion

This study reports unexpectedly high numbers of Ph. mascittii at selected Austrian localities and provides the first detailed analysis of its ecology to date. Temperature and humidity were shown to be good predictors for sand fly activity. Blood meal analyses support the assumption that Ph. mascittii feeds on mammals as well as birds. The study significantly contributes to understanding the ecology of this sand fly species in Central Europe and facilitates prospective entomological surveys.

Graphical Abstract

Introduction

Phlebotomine sand flies (Diptera: Psychodidae: Phlebotominae) are small hematophageous insects. During a blood meal, females can transmit various pathogens, including the protozoan parasites Leishmania spp., the α-proteobacterium Bartonella bacilliformis and various arthropod-borne viruses [1].

The occurrence of sand flies in Central Europe, north of the Alps, had long been questioned, but then Phlebotomus mascittii Grassi, 1908, was first found in Germany in 1999 [2]. In the following years, Ph. mascittii was also found in five federal states of Austria and in Western Slovakia, close to the Austrian border [3,4,5,6]. Ph. mascittii is understood to have a wide geographical range with collections reported from Switzerland, France, Belgium and Germany. With records as far as 50° North, it is the northernmost occurring sand fly species in Europe [7,8,9]. It is also known to occur in western parts of the Mediterranean [10, 11], while reports from eastern parts of the Mediterranean [12] are likely to represent the recently described species Phlebotomus killicki Dvořák, Votýpka & Volf, 2015 [13].

Temperature is considered the most critical factor for sand fly dispersal and activity. Humidity also constitutes a crucial factor, as a moist substrate is required for egg and larval development [14]. In Central Europe, sand flies diapause during cold winter months, and while sand fly activity usually stretches from spring to autumn in Mediterranean regions, sand flies in more northern countries such as Germany, Austria and Slovakia are mainly active in the summer [2, 4, 6]. Winter activity has only been reported from trappings in a tunnel on the island of Corsica, where a cave-like blocked railway tunnel exhibits stable climatic conditions year-round; temperatures > 15 °C were measured in February inside the tunnel, thereby providing suitable conditions for sand fly activity during winter time [15].

Phlebotomus mascittii is a suspected but unproven vector for Leishmania infantum based on circumstantial evidence and close phylogenetic relationship to the subgenera Larroussius and Adlerius, which include important vector species of L. infantum [16]. Moreover, presumably autochthonous leishmaniasis cases have been reported from Austria [17] and Germany [18], and L. infantum DNA was detected in an unfed Austrian Ph. mascittii specimen and in a specimen caught on the Italian island of Montecristo [19, 20].

While Ph. mascittii is the most commonly found sand fly species in Central Europe, knowledge on its distribution, ecology and activity is still scarce. To fill this gap, we performed a detailed study during the summer months of 2018 and 2019, assessing sand fly activity and associated climatic and ecological factors at various locations in Austria.

Materials and methods

Study area and environment

The survey was conducted in two different federal states of Austria at four different trapping sites, namely Rohrau (Ro) in Lower Austria and Ratzenau (Ra), Unterpurkla (Up) and Hummersdorf (Hu) in Styria (Fig. 1). Rohrau is located at the border of the two federal states Lower Austria and Burgenland in Eastern Austria. The mean January and July temperatures (20-year mean, 1999–2019) are − 1.1 and 20.0 °C, respectively, and the total annual precipitation is 629 mm. Ratzenau, Unterpurkla and Hummersdorf are located in the southern part of Styria along the Slovenian border. In this region, mean January and July temperatures are − 1.4 and 19.8 °C, respectively, and the total annual precipitation is 873 mm. Both trapping areas belong to the warmest parts of Austria and are classified as Cfb (C = temperate, f = no dry season, b = warm summer) according to Köppen and Geiger.

Fig. 1
figure 1

Map of trapping sites

Full size image

The trapping sites exhibit optimal climatic conditions and the presence of sand flies was proven in previous studies [4, 5]. While in Rohrau the only available large building was chosen for sampling, two buildings at each trapping site were sampled in Ratzenau, Unterpurkla and Hummersdorf (Table 1).

Table 1 Long-term trapping sites in Austria
Full size table

Sand fly trapping

Sand fly trapping was conducted using battery-operated CDC miniature light traps with fine gossamer collection bags (model #512, John W. Hock Co., Gainesville, FL, USA) from 28 June to 31 August 2018 in Rohrau and from 28 June to 7 September 2018 in Ratzenau, Unterpurkla and Hummersdorf. Based on observations and trapping numbers in 2018, trappings in 2019 were scheduled earlier, started on 4 June and ran until 13 September at all locations.

Trappings were carried out every week from Monday to Friday, resulting in 4 consecutive nights sampled per week with exceptions of bank holidays. In 2019, the trapping site in Rohrau was only sampled from Monday to Thursday, resulting in 3 consecutive nights sampled per week. The trapping approach resulted in 104 total nights trapped (801 trap-nights = nights*traps), of which 46 nights (369 trap-nights) were sampled in 2018 and 58 (Styria) and 45 (Lower Austria) nights (432 trap-nights) in 2019.

Collection bags were changed every morning after sunrise. The contents were carefully transferred to Petri dishes labelled with date, location and trap number and stored at − 20 °C until further inspection. Sand fly specimens were sorted using a stereomicroscope Wild Heerbrug M8 (Wild Heerbrug, Sankt Gallen, Switzerland) with low magnification, pre-sorted by sex and transferred to 70% ethanol for preservation.

Morphological identification

Head and genitalia were dissected and slide-mounted in CMCP-10 mounting medium (Polysciences, Germany). Identification was based on published morphological keys and descriptions of male genitalia, female spermatheca and pharyngeal armature [8, 21].

Molecular identification

DNA was isolated from the remaining body parts with a QIAamp® DNA Mini Kit 250 (Qiagen, Hilden, Germany). PCR amplification of a 658-basepairs (bp) fragment of the cytochrome c oxidase subunit I (coxI) gene was performed using the primers LCO-1490/CoxUniEr following the protocol of Kniha et al. [22].

PCR was performed with an Eppendorf Mastercycler (Eppendorf AG, Hamburg, Germany). Bands were analysed with a Gel Doc™ XR + Imager (Bio-Rad Laboratories Inc., California, USA), cut out from the gel and purified with an Illustra™ GFX™ PCR DNA and Gel Purification Kit (GE Healthcare, Buckinghamshire, UK). Sequencing was performed with a Thermo Fisher Scientific SeqStudio (Thermo Fisher Scientific, Massachusetts, USA). Obtained sequences from both strands were aligned with ClustalX 2.1, edited with GeneDoc 2.7.0 and consensus sequences were blasted in the NCBI sequence database (GenBank) and compared to reference sequences.

MALDI-TOF protein profiling was done as previously described [23, 24]. The protein extracts from thoraces of chosen specimens were mixed with a sinapinic acid matrix and mass spectra were acquired with an Ultraflex III MALDI-TOF spectrometer (Bruker Daltonics, Bremen, Germany). The spectra were visualized by FlexAnalysis 3.4 software, processed by MALDI Biotyper 3.1 and compared with an in-house reference database.

Blood meal analysis by DNA sequencing and MALDI-TOF mass spectrometry

PCR was performed in volumes of 50 μl as described above. Primer pairs PNOC-F/PNOC-R and PCR cycles were performed as described by Haouas et al. [25] and sequencing was performed as described above. Obtained sequences were submitted to GenBank. A male Ph. mascittii specimen and filtered H2O were used as negative controls.

MALDI-TOF peptide mass mapping analysis of host-specific hemoglobin peptides was performed according to a protocol by Hlavackova et al. [26]. Blood from engorged abdomens was digested using trypsin (Promega) and the resulting peptides were mixed with an α-cyano-4-hydroxycinnamic acid matrix (Bruker Daltonics). Peptide mass maps were acquired with an Ultraflex III MALDI-TOF instrument (Bruker Daltonics) and at least two peptides per female were selected for MS/MS sequencing. MS/MS spectra were searched against the SwissProt 2019_05 database subset of vertebrate proteins using an in-house MASCOT search engine (Matrix Science).

Meteorological data

Climatic data, including temperature, relative humidity, air pressure and wind speed, were obtained from the Central Institute for Meteorology and Geodynamics (ZAMG). Daily, weekly and monthly means and standard deviations were calculated for daytime (sunrise to sunset) and nighttime (sunset to sunrise).

Statistical analysis

All data were analysed using R 3.6.2 [27]. To compare the trapping success between different years, sexes and reproduction status, we applied tests of proportions and Kruskal-Wallis tests.

To investigate the influences of weather variables, we fitted negative binomial zero-inflated generalized linear mixed models (ZIGLMM) with a log link function using the glmmTMB package [28] with trap-night and sampling location at each trapping site as random factors. We fitted captures per trap-night as response variable and tested mean daily humidity, mean nightly humidity, mean nightly temperature, mean nightly air pressure (all continuous) and trapping sites (categorical with four levels) as fixed factors:

$${\text{log (C}}_{{{\text{ij}}}} {\text{) = Hum\_n}}_{{{\text{ij}}}}^{{2}} {\text{ + Hum\_d}}_{{{\text{ij}}}} {\text{ + Temp\_n}}_{{{\text{ij}}}} {\text{ + Press\_n}}_{{{\text{ij}}}} {\text{ + Site}}_{{\text{j}}} {\text{ + Temp}}_{{{\text{ij}}}} \, \times {\text{ Hum\_n}}_{{{\text{ij}}}} {\text{ + Loc}}_{{\text{i}}} {\text{ + Date}}_{{\text{j}}}$$

where C is the jth number of captured individuals at location i.

Since both mean nightly temperature/mean daily temperature and mean nightly air pressure/mean daily air pressure were correlated (Pearson’s correlation coefficient > 0.6), we included only nightly data of those variables as fixed factors.

We built models by backward elimination and chose the one with the lowest Akaike information criterion [29] as the best fitting model. Then, we used the DHARMa package [30] for model validation and ggplot2 [31] and ggeffects [32] for the visualisation of the model output.

Results

Sand fly identification

Overall, 450 specimens were caught, which were all identified as Phlebotomus mascittii by morphological characters. Further confirmation was obtained by sequencing a coxI gene region of one male and one female of each of the four locations (GenBank accession: MW741695.1–MW741702.1) and MALDI-TOF protein profiling of chosen specimens from different trapping localities, which were hardly or not identifiable to the species level by morphology. Obtained coxI sequences showed 100% identity when compared to reference sequences from GenBank (MN003381.1, KX869078.1). MALDI-TOF protein profiling of 21 specimens collected from four localities (Hummersdorf 10 specimens, Unterpurkla 4 specimens, Ratzenau 6 specimens, Rohrau 1 specimen) provided species-specific protein spectra that confirmed species identification as Ph. mascittii.

Trapping numbers

Out of 450 caught specimens, 271 (60.2%) were trapped in 2018 and 179 (39.8%) in 2019, accounting for 0.7 and 0.4 caught specimens/trap-night in 2018 and 2019, respectively (Table 2). Of 801 total trap-nights, significantly fewer trap-nights were successful than unsuccessful (213 vs. 588; P < 0.001), and this was observed for both years, 2018 (113 vs. 256; P < 0.001) and 2019 (100 vs. 332; P < 0.001), independently.

Table 2 Number of trapped Ph. mascittii by year, sex, feeding status and site
Full size table

In total, 77 (17.1%) specimens were males and 373 (82.9%) were females, of which 15 (4.0%) were engorged and 20 (5.4%) were gravid (Table 2). In both years, significantly more females were caught than males (2018: 214 vs. 57; P < 0.001; 2019: 159 vs. 20; P < 0.001).

The overall male/female ratio was 1/4.8, being split to 1/3.8 in 2018 and 1/8.0 in 2019. While high male/female ratios were observed in Hummersdorf (1/2.4) and Rohrau (1/3.1), low male/female ratios were observed in Unterpurkla (1/13.2) and Ratzenau (1/16.6).

The number of collected specimens varied between trapping sites. The highest capture rate was observed in Hummersdorf (184, 0.9 specimens/trap-night) and a slightly lower rate in Unterpurkla (158, 0.8 specimens/trap-night). Trapping success was clearly lower in Ratzenau (71, 0.4 specimens/trap-night) and Rohrau (37, 0.2 specimens/trap-night) (Table 2).

The overall highest number was caught with trap Up2 (109/450; 24.2%) followed by Hu1 (108/450; 24.0%), together accounting for almost half of all caught specimens (Additional file 1: Table S1).

Seasonal abundance

In 2018, sand fly activity was recorded from 28 June to 23 August in Styria and from 29 June to 31 August in Lower Austria (Fig. 2, Additional file 2: Table S2). However, as first records were obtained already in the first trap night, we assume that activity had started before monitoring in 2018; thus, no further calculations on seasonal abundance were made.

Fig. 2
figure 2

Seasonal sand fly activity by year and location

Full size image

In 2019, the beginning of sand fly activity was observed on 4 June and 13 June in Styria and Lower Austria, respectively. Again, a single specimen was trapped in the first trap night, but only in Unterpurkla. Activity ended between 20 and 29 August in Styria and on 28 August in Lower Austria (Fig. 2, Additional file 2: Table S2). The mean sand fly activity period was 70 (SD: 14) days, with the shortest period in Ratzenau (54 days) and longest in Unterpurkla (86 days) and Rohrau (76 days).

In 2019, sand fly abundance showed a monomodal curve at all four locations. In Unterpurkla, Hummersdorf and Rohrau sand fly activity peaked in early July, while in Ratzenau sand fly activity peaked at the beginning of August (Fig. 2). Overall, most specimens were trapped in the last week of June (29, 16.2%) and the first week of July (29, 16.2%). While male sand fly abundance peaked in the last week of June (7, 35.0%), female sand fly abundance peaked in the third week of July (27, 17.0%).

Sand fly activity and climatic conditions

Sand flies were active between 56 and 96% mean nightly relative humidity and 12.8 °C and 23.7 °C mean nightly temperature (Fig. 3). Earliest sand fly activity was noticed only after the mean temperature and the minimum temperature did not fall below 15 °C and 10 °C for 5 consecutive days, respectively. Sand fly activity was observed between 985 and 1002 hPa mean nightly air pressure and 0.5 and 2.9 m/s mean nightly wind speed (Fig. 3).

Fig. 3
figure 3

Boxplots of sand fly trapping success according to climatic parameters relative humidity (a), temperature (b), air pressure (c) and windspeed (d)

Full size image

Model validation did not reveal any problems. In our best model, mean nightly air humidity had a unimodal effect on the trapping success (Fig. 4b, Additional file 3: Figure S1). Higher mean nightly temperature and an interaction term of mean nightly temperature and mean nightly humidity influenced the trapping success positively (Fig. 4a, Additional file 4: Figure S2), while higher mean nightly air pressure decreased the number of captured individuals per night (Fig. 4c, Additional file 5: Figure S3). The numerical output of the best ZIGLMM is shown in Table 3.

Fig. 4
figure 4

Predictions of the sand fly activity based on a zero-inflated generalized linear mixed model for temperature (a), humidity (b) and air pressure (c)

Full size image
Table 3 Estimates, standard errors, z values and P values for the best negative binomial ZIGLMM
Full size table

Blood meal analysis

All 15 engorged females were subjected to PCR as well as MALDI-TOF analysis, and five blood meals were successfully identified. MALDI-TOF peptide mass mapping detected hemoglobin fragments of chicken (Gallus gallus) in one specimen from Unterpurkla and in two specimens from Hummersdorf. PCR and sequencing revealed equine DNA (Equus spp.) in one specimen from Ratzenau (GenBank accession: MT712271.1) and in one specimen from Unterpurkla (GenBank accession: MT712272.1). The resulting sequences originating from specimens from Ratzenau and Unterpurkla with a length of 287 bp showed 98.2 to 100% and 97.9 to 99.7% identity, respectively, with reference sequences of Equus asinus as well as E. caballus from GenBank (Table 4).

Table 4 Blood meal analysis of Ph. mascittii by MALDI-TOF and sequencing
Full size table

Discussion

This study presents the first detailed analysis of the seasonal activity of Phlebotomus mascittii. To the best of our knowledge we report the highest number of trapped individuals of Ph. mascittii to date and newly identified bloodmeal hosts of this species.

Even though Ph. mascittii is usually reported in very low numbers, it is widely distributed throughout Europe and the predominant sand fly species in Central Europe. Only sporadic findings of other sand fly species, such as Phlebotomus perniciosus Newstead, 1911, in Germany [33] or Phlebotomus simici Nitzulescu, 1931, in Austria [22], have been reported. In our study, we trapped unexpectedly high numbers of Ph. mascittii, which indicates that population densities might be higher than previously reported. Clear differences in trapping numbers were observed between locations and caught specimens per trap-night ranged from 0.2 to 0.9. In Germany, an average of 0.2 caught specimens of Ph. mascittii per trap has been reported [34]. Surveys in Southern European countries usually exceed this number by multiple times, as reported from trappings in Southern Italy, where 85 sand flies of various species per trap-night were caught [11].

Higher numbers of collected specimens, namely 184 and 158, were observed in Hummersdorf and Unterpurkla, respectively, where a chicken barn was located on the property, guaranteeing constant host availability, which might lead to increased population densities. In Southern France, trapping success for Ph. perniciosus and Phlebotomus ariasi Tonnoir, 1921, was strongly associated with host abundance and availability and an extraordinarily high number of sand flies was caught at a poultry barn containing many chickens [35]. Cazan et al. [36] observed Phlebotomus perfiliewi Parrot, 1930, to be only present in a chicken shed, but not in other barns at the same property where cattle, horses, pigs and rabbits were kept at a farm in Romania.

Interestingly, the sex ratio was strongly biased towards females ranging from 1/2.4 to 1/16.6. The light traps used in this study are commonly used for trapping phototropic insects including sand flies; however, the effectiveness of this method varies significantly between species and sex [37]. While a shifted sex ratio towards females has been reported for Ph. mascittii [3, 34, 35, 38,39,40], studies on other Phlebotomus species often report more captured males than females by light trapping [41, 42]. A male-biased sex ratio among Lutzomyia longipalpis Lutz & Neiva, 1912, was found to be associated with higher sand fly densities and more available hosts [43, 44]. However, these factors did not influence the sex ratio in this study when comparing trapping numbers at the four trapping locations. Clearly, trapping methods and ecological factors are associated with the sex ratio of caught specimens. However, activity peaks differed between males and females in this study: male activity peaked in late June and female activity at the end of July. Under laboratory conditions males are also observed to emerge earlier than females and have shorter live spans [45]. This indicates that the observed sex ratios may depend on seasonal activity with this trapping method.

To date, no studies monitoring Ph. mascittii activity over a full season have been published and this study presents the first detailed insight into the seasonal dynamics of this species. July and August are the typical months of Ph. mascittii activity in Central [4, 6, 34] and Southern European countries [35, 46]. The only exception is a climatically stable tunnel in Corsica, where winter activity of Ph. mascittii has been noticed [15]. As we observed Ph. mascittii to be highly active by late June in 2018, we adjusted our trapping scheme in 2019, starting regular trappings at the beginning of June to record first activity. A single specimen was again recorded in the first trap night, followed by a week of no activity, indicating that sand fly activity might have recently started. While the length of activity periods varied between locations, a monomodal activity trend was observed at all locations with activity peaks in July at three locations and August in Ratzenau. According to Alten et al. [47] the number of peaks is associated with the number of generations, which suggests a single generation of Ph. mascittii in Austria. A monomodal trend was also observed for Ph. ariasi in France and Phlebotomus kandelaki Shurenkova, 1929, as well as Phlebotomus balcanicus Theodor, 1948, in Georgia. Up to three density peaks and substantially longer activity periods are usually observed in countries with lower latitudes such as Portugal, Turkey, Greece or Cyprus [47].

While data on seasonal dynamics of sand flies are available from Mediterranean countries [35, 47, 48], data on activity at the northern boundary of sand fly occurrence are scarce. Recently, Cazan et al. [36] published a study on the seasonal dynamics of Ph. perfiliewi in northern Romania approximately at the same latitude as locations surveyed in this study. They observed sand fly activity from July to August, comparably shorter than observed activity periods in our study. Typically mild May and June temperatures in Austria possibly contribute to early sand fly activity starting in early June. Taking constant rising temperatures into account, even earlier sand fly activity might be observed in particularly warm years and in the future; however, this clearly needs further studies.

Ph. mascittii was observed to be active at night temperatures as low as 12.8 °C, and first activity was noticed after mean temperatures did not drop below 15 °C and 10 °C minimum. These rather low temperature requirements for activity might contribute to an early start of sand fly activity in June. However, no inference on larval and pupa requirements for development can be drawn from this study; experimental clarification is required. Kasap et al. [14] observed no larval and pupal development of Phlebotomus papatasi Scopoli, 1786, at 15 °C under laboratory conditions and a mean temperature of at least 18 °C was necessary for successful rearing. Even though temperature is a driving factor for sand fly activity, similar thresholds for activity of adult sand flies compared to this study were observed for Ph. ariasi in France [35] and Ph. simici in Austria [22]. In Romania, Ph. perfiliewi was not active until minimum temperatures did not fall below 15 °C for 7 days [36].

Despite the low threshold temperature, an association between mean night temperature and sand fly abundance was observed at all locations, which indicates that Ph. mascittii actually prefers higher temperatures, but can be active at low temperatures as well. This is in concordance with other surveys, where increasing minimum temperatures were associated with higher trapping success of Ph. ariasi in France [35] and Ph. perfiliewi in Romania [36]. As Ph. mascittii occurs in temperate as well as Mediterranean regions with apparent differences in winter and summer temperatures, it might have a wider temperature tolerance than other sand fly species.

Relative humidity was significantly associated with sand fly abundance, with peak abundance at 80% RH, and decreasing abundances at higher and lower RH. Compared to other species the peak at about 80% is rather high. Significant differences in temperature and humidity requirements were observed between different Phlebotomus species on Greek Aegean islands [42]. In contrast to our results for Ph. mascittii, the activity of Ph. perfiliewi declined with increasing relative humidity in a study from Romania [36].

Interestingly, an increase in barometric pressure was significantly associated with a decrease in sand fly activity, which indicates an active response of Ph. mascittii to pressure changes. Tichy et al. [49] experimentally confirmed responses of cockroaches and stick insects to humidity and pressure. The response of sand flies to changes in barometric pressure is widely assumed but data are scarce. In general, a rise in barometric pressure is associated with good weather whereas a drop is associated with poor weather including possible rain; thus, observations in our study are rather unexpected. Herczeg et al. [50] observed an increase of the activity of the hematophagous horse fly (Diptera: Tabanidae) in response to a quickly dropping air pressure prior to storms, concluding that climatic conditions shortly before storms exhibit high humidity and potential blood meal hosts move to shelters and might be more easily available for the horseflies. This might also apply for sand fly activity. Moreover, a weak negative correlation between temperature and air pressure was observed, which might lead to an indirect effect of pressure on sand fly activity through temperature. As we trapped exclusively indoors, this setting might explain a higher tolerance of Ph. mascittii to bad weather conditions. This is supported by the absence of a significant association between flight activity and wind speed. As sand flies have a weak flight ability, activity usually decreases with increasing wind speed as observed for various species in Sardinia [51]. However, indoor trapping sites provide shelter for sand flies during bad weather including rainfall and high wind speed. In Spain, trapping sites not exposed to wind showed significantly higher sand fly densities compared to exposed sites [52]. Our data suggest that temperature and humidity can be used as good predictors for sand fly abundance in prospective studies.

The permanent availability of blood host species was shown to have a positive effect on sand fly abundance. Only 5 of a total of 15 collected engorged females could be successfully analyzed by either MALDI-TOF mass spectrometry or DNA sequencing, probably because of late stages of blood meal digestion in the remaining specimens. Degraded DNA makes PCR challenging already 24 h after the blood meal [53], and even though MALDI-TOF peptide mass mapping is possible for longer periods after the blood meal [26], the observed blood bolus in some specimens suggested an advanced stage of digestion, making molecular identification of the blood meal host impossible.

Three engorged females were identified to have fed on chicken. They had been trapped in Unterpurkla and Hummersdorf, where chicken sheds are located at the respective properties. Interestingly, the other two blood meals that could be identified originated from either donkey or horse, although no equid species were present at the respective properties. However, horse barns were located in the range of a few 100 m. Sand flies usually have short flight ranges and only a few have been shown to travel > 1000 m [54]. Altogether, our findings suggest that Ph. mascittii is a multi-host feeding species, which is further supported by observations by Grimm et al. [7], who confirmed that one Ph. mascittii specimen had fed on human blood. In a recent study, Leishmania infantum DNA was detected in an unfed Ph. mascittii female in Lower Austria and a dog at the property was observed to be infected with L. infantum. The dog most probably had been vertically infected by its mother, which indicates that the sand fly was infected by feeding on the dog [19].

Host availability and identification are not only important for finding new breeding sites and assessing the potential for further dispersal, but also regarding the suspected vector capacity of Ph. mascittii for L. infantum. Dogs are the main reservoirs for L. infantum and they are commonly imported with asymptomatic infections from endemic countries [55]. However, reports of horses infected with L. infantum from Germany [56] and with a proposed Leishmania species, Leishmania siamensis, in Switzerland and Germany indicate that equids might act as reservoir hosts for Leishmania species as well [57, 58]. Thus, further clarification of the vector capacity of Ph. mascittii and its role in the epidemiology of leishmaniasis in Central Europe is urgently needed.

Conclusion

Our study presents the first detailed insights into seasonal dynamics and climatic requirements of Ph. mascittii. It was shown that population densities are larger than expected and that activity periods are longer than previously reported in Central European countries. Identified blood meals indicate that Ph. mascittii feeds on various animals, which could play an important role for potential Leishmania transmission. The expected rising temperatures due to the ongoing climate change may increase population densities and elongate activity periods in the future, which could promote further dispersal of the species into new areas. Our study provides valuable data for prospective entomological surveys, which are essential for monitoring changing sand fly populations and to assess the potential spread of Ph. mascittii in Austria and Central Europe in general.

Availability of data and materials

All data generated and analysed during this study were included in the article.

Abbreviations

coxI :

Cytochrome c oxidase subunit I

MALDI-TOF:

Matrix-assisted laser desorption ionization-time of flight

RH:

Relative humidity

SD:

Standard deviation

Std. error:

Standard error

ZIGLMM:

Zero-inflated generalized linear mixed model

References

  1. Ready PD. Biology of phlebotomine sand flies as vectors of disease agents. Annu Rev Entomol. 2013;58:227–50.

    Article  CAS  PubMed  Google Scholar 

  2. Naucke TJ, Pesson B. Presence of Phlebotomus (Transphlebotomus) mascittii Grassi, 1908 (Diptera: Psychodidae) in Germany. Parasitol Res. 2000;86:335–6.

    Article  CAS  PubMed  Google Scholar 

  3. Naucke TJ, Lorentz S, Rauchenwald F, Aspöck H. Phlebotomus (Transphlebotomus) mascittii Grassi, 1908, in Carinthia: first record of the occurrence of sandflies in Austria (Diptera: psychodidae: Phlebotominae). Parasitol Res. 2011;109:1161–4.

    Article  PubMed  Google Scholar 

  4. Poeppl W, Obwaller AG, Weiler M, Burgmann H, Mooseder G, Lorentz S, et al. Emergence of sandflies (Phlebotominae) in Austria, a Central European country. Parasitol Res. 2013;112:4231–7.

    Article  PubMed  PubMed Central  Google Scholar 

  5. Kniha E, Dvořák V, Halada P, Milchram M, Obwaller AG, Kuhls K, et al. Integrative approach to Phlebotomus mascittii Grassi, 1908: first Record in Vienna with New Morphological and Molecular Insights. Pathogens. 2020;9:1032.

    Article  CAS  PubMed Central  Google Scholar 

  6. Dvořák V, Hlavackova K, Kocisova A, Volf P. First record of Phlebotomus (Transphlebotomus) mascittii in Slovakia. Parasite. 2016;23:48.

    Article  PubMed  PubMed Central  Google Scholar 

  7. Grimm F, Gessler M, Jenni L. Aspects of sandfly biology in southern Switzerland. Med Vet Entomol. 1993;7:170–6.

    Article  CAS  PubMed  Google Scholar 

  8. Depaquit J, Naucke TJ, Schmitt C, Ferté H, Léger N. A molecular analysis of the subgenus Transphlebotomus Artemiev, 1984 (Phlebotomus, Diptera, Psychodidae) inferred from ND4 mtDNA with new northern records of Phlebotomus mascittii Grassi, 1908. Parasitol Res. 2005;95:113–6.

    Article  PubMed  Google Scholar 

  9. Melaun C, Krüger A, Werblow A, Klimpel S. New record of the suspected leishmaniasis vector Phlebotomus (Transphlebotomus) mascittii Grassi, 1908 (Diptera: Psychodidae: Phlebotominae) - The northernmost phlebotomine sandfly occurrence in the Palearctic region. Parasitol Res. 2014;113:2295–301.

    Article  PubMed  Google Scholar 

  10. Berdjane-Brouk Z, Charrel RN, Bitam I, Hamrioui B, Izri A. Record of Phlebotomus (Transphlebotomus) mascittii Grassi, 1908 and Phlebotomus (Laroussius) chadli Rioux, Juminer & Gibily, 1966 female in Algeria. Parasite. 2011;18:337–9.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  11. Dantas-Torres F, Tarallo VD, Latrofa MS, Falchi A, Lia RP, Otranto D. Ecology of phlebotomine sand flies and Leishmania infantum infection in a rural area of southern Italy. Acta Trop. 2014;137:67–73.

    Article  PubMed  Google Scholar 

  12. Bosnić S, Gradoni L, Khoury C, Maroli M. A review of leishmaniasis in Dalmatia (Croatia) and results from recent surveys on phlebotomine sandflies in three southern counties. Acta Trop. 2006;99:42–9.

    Article  PubMed  Google Scholar 

  13. Kasap OE, Dvořák V, Depaquit J, Alten B, Votypka J, Volf P. Phylogeography of the subgenus Transphlebotomus Artemiev with description of two new species, Phlebotomus anatolicus n. sp. and Phlebotomus killicki n. sp. Infect Genet Evol. 2015;34:467–79.

    Article  PubMed  Google Scholar 

  14. Kasap OE, Alten B. Laboratory estimation of degree-day developmental requirements of Phlebotomus papatasi (Diptera: Psychodidae). J Vector Ecol. 2005;30:328–33.

    PubMed  Google Scholar 

  15. Naucke TJ, Menn B, Massberg D, Lorentz S. Winter activity of Phlebotomus (Transphlebotomus) mascittii, Grassi 1908 (Diptera: Psychodidae) on the island of Corsica. Parasitol Res. 2008;103:477–9.

    Article  CAS  PubMed  Google Scholar 

  16. Dvořák V, Shaw J, Volf P. Parasite Biology: The Vectors. In: Bruschi F, Gradoni L, editors. Leishmaniases Old Neglected Trop Dis. Springer: Cham; 2018.

  17. Kollaritsch H, Emminger W, Zaunschirm A, Aspöck H. Suspected Autochthonous Kala-azar in Austria. Lancet. 1989;1:901–2.

    Article  CAS  PubMed  Google Scholar 

  18. Bogdan C, Schönian G, Bañuls AL, Hide M, Pratlong F, Lorenz E, et al. Visceral leishmaniasis in a German child who had never entered a known endemic area: case report and review of the literature. Clin Infect Dis. 2001;32:302–6.

    Article  CAS  PubMed  Google Scholar 

  19. Obwaller AG, Karakus M, Poeppl W, Töz S, Özbel Y, Aspöck H, et al. Could Phlebotomus mascittii play a role as a natural vector for Leishmania infantum? New data. Parasit Vectors; 2016;9:458.

  20. Zanet S, Sposimo P, Trisciuoglio A, Giannini F, Strumia F, Ferroglio E. Epidemiology of leishmania infantum, toxoplasma gondii, and neospora caninum in Rattus rattus in absence of domestic reservoir and definitive hosts. Vet Parasitol. 2014;199:247–9.

    Article  CAS  PubMed  Google Scholar 

  21. Lewis DJ. A taxonomic review of the genus Phlebotomus (Diptera: Psychodidae). Bull Br Museum Natural Hist. 1982;45:121–209.

    Google Scholar 

  22. Kniha E, Dvořák V, Milchram M, Obwaller A, Köhsler M, Pöppl W, et al. Phlebotomus (Adlerius) Simici Nitzulescu, 1931: first record in Austria and phylogenetic relationship with Other Adlerius Species. Parasit Vectors. BioMed Central; 2021;14:20.

  23. Dvořák V, Halada P, Hlacvackiva K, Dokianakis E, Antoniou M, Volf P. Identification of phlebotomine sand flies (Diptera: Psychodidae) by matrix-assisted laser desorption/ionization time of flight mass spectrometry. Parasit Vectors. 2014;7:1–7.

    Article  Google Scholar 

  24. Halada P, Hlavackova K, Risueño J, Berriatua E, Volf P, Dvořák V. Effect of trapping method on species identification of phlebotomine sandflies by MALDI-TOF MS protein profiling. Med Vet Entomol. 2018;32:388–92.

    Article  CAS  PubMed  Google Scholar 

  25. Haouas N, Pesson B, Boudabous R, Dedet JP, Babba H, Ravel C. Development of a molecular tool for the identification of leishmania reservoir hosts by blood meal analysis in the insect vectors. Am J Trop Med Hyg. 2007;77:1054–9.

    Article  CAS  PubMed  Google Scholar 

  26. Hlavackova K, Dvořák V, Chaskopoulou A, Volf P, Halada P. A novel MALDI-TOF MS-based method for blood meal identification in insect vectors: a proof of concept study on phlebotomine sand flies. PLoS Negl Trop Dis. 2019;13:1–23.

    Article  Google Scholar 

  27. R Core Team. R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. https://www.R-project.org/. 2020.

  28. Brooks ME, Kristensen K, van Benthem KJ, Magnusson A, Berg CW, Nielsen A, et al. glmmTMB balances speed and flexibility among packages for zero-inflated generalized linear mixed modeling. R J. 2017;9:378–400.

    Article  Google Scholar 

  29. Akaike H. Factor analysis and AIC. Psychometrika. 1987;52:317–32.

    Article  Google Scholar 

  30. Hartig F. DHARMa: Residual Diagnostics for Hierarchical (Multi-Level / Mixed) Regression Models. R package version 0.3.0. https://CRAN.R-project.org/package=DHARMa. 2020.

  31. Wickham H. ggplot2: Elegant Graphics for Data Analysis. New York: Springer-Verlag; 2016.

    Book  Google Scholar 

  32. Lüdecke D. ggeffects: tidy data frames of marginal effects from regression models. J Open Source Softw. 2018;3:772.

    Article  Google Scholar 

  33. Naucke TJ, Schmitt C. Is leishmaniasis becoming endemic in Germany? Int J Med Microbiol. 2004;293:179–81.

    PubMed  Google Scholar 

  34. Oerther S, Jöst H, Heitmann A, Lühken R, Krüger A, Steinhausen I, et al. Phlebotomine sand flies in Southwest Germany: an update with records in new locations. Parasit Vectors. 2020;13:173.

    Article  PubMed  PubMed Central  Google Scholar 

  35. Prudhomme J, Rahola N, Toty C, Cassan C, Roiz D, Vergnes B, et al. Ecology and spatiotemporal dynamics of sandflies in the Mediterranean Languedoc region (Roquedur area, Gard, France). Parasit Vectors. 2015;8:1–14.

    Article  Google Scholar 

  36. Cazan CD, Păstrav IR, Györke A, Oguz G, Alten B, Mihalca AD. Seasonal dynamics of a population of Phlebotomus (Larroussius) perfiliewi Parrot, 1930 (Diptera: Psychodidae) in North-Eastern Romania. Parasitol Res. 2019;1930:1371–84.

    Article  Google Scholar 

  37. Huemer H, Prudhomme J, Amaro F, Baklouti A, Walder G, Alten B, et al. Practical guidelines for studies on sandfly-borne phleboviruses: Part II: important points to consider for fieldwork and subsequent virological screening. Vector-Borne Zoonotic Dis. 2017;17:81–90.

    Article  PubMed  Google Scholar 

  38. Obwaller AG, Poeppl W, Naucke TJ, Luksch U, Mooseder G, Aspöck H, et al. Stable populations of sandflies (Phlebotominae) in Eastern Austria : a comparison of the trapping seasons 2012 and 2013. Trends Entomol. 2014;2:1–5.

    Google Scholar 

  39. Poeppl W, Obwaller AG, Weiler M, Burgmann H, Mooseder G, Lorentz S, et al. Emergence of sandflies (Phlebotominae) in Southern and Eastern Austria : results from entomologic field studies 2010–2012. 2012.

  40. Knechtli R, Jenni L. Distribution and relative density of three sandfly (Diptera: Phlebotominae) species in southern Switzerland. Ann Parasitol Hum Comparée. 1989;64:53–63.

    Article  Google Scholar 

  41. Kasap OE, Belen A, Kaynas S, Simsek FM, Biler L, Ata N, et al. Activity patterns of sand fly (Diptera: Psychodidae) species and comparative performance of different traps in an endemic cutaneous leishmaniasis focus in Cukurova Plain, Southern Anatolia. Turkey Acta Vet Brno. 2009;78:327–35.

    Article  Google Scholar 

  42. Tsirigotakis N, Pavlou C, Christodoulou V, Dokianakis E, Kourouniotis C, Alten B, et al. Phlebotomine sand flies (Diptera: Psychodidae) in the Greek Aegean Islands: ecological approaches. Parasit Vectors. 2018;11:1–14.

    Article  Google Scholar 

  43. Dye C, Davies CR, Lainson R. Lutzomyia iongipalpis populations in Amazonian Brazil. Anim Behav. 1991;42:183–92.

    Article  Google Scholar 

  44. Quinnell RJ, Dye C. Correlates of the peridomestic abundance of Lutzomyia longipalpis (Diptera: Psychodidae) in Amazonian Brazil. Med Vet Entomol. 1994;8:219–24.

    Article  CAS  PubMed  Google Scholar 

  45. Lawyer P, Killick-Kendrick M, Rowland T, Rowton E, Volf P. Laboratory colonization and mass rearing of phlebotomine sand flies (Diptera, Psychodidae). Parasite. EDP Sciences; 2017 (cited 2019 Apr 26);24:42. http://www.ncbi.nlm.nih.gov/pubmed/29139377.

  46. Praprotnik E, Zupan S, Ivović V. Morphological and molecular identification of Phlebotomus mascittii Grassi, 1908 populations from Slovenia. J Med Entomol. 2019;56:565–8.

    Article  PubMed  Google Scholar 

  47. Alten B, Maia C, Afonso MO, Campino L, Jiménez M, González E, et al. Seasonal dynamics of phlebotomine sand fly species proven vectors of mediterranean leishmaniasis caused by leishmania infantum. PLoS Negl Trop Dis. 2016;10:1–22.

    Article  Google Scholar 

  48. Ivović V, Patakakis M, Tselentis Y, Chaniotis B. Faunistic study of sandflies in Greece. Med Vet Entomol. 2007;21:121–4.

    Article  PubMed  Google Scholar 

  49. Tichy H, Kallina W. Insect hygroreceptor responses to continuous changes in humidity and air pressure. J Neurophysiol. 2010;103:3274–86.

    Article  CAS  PubMed  Google Scholar 

  50. Herczeg T, Száz D, Blahó M, Barta A, Gyurkovszky M, Farkas R, et al. The effect of weather variables on the flight activity of horseflies (Diptera: Tabanidae) in the continental climate of Hungary. Parasitol Res. 2015;114:1087–97.

    Article  PubMed  Google Scholar 

  51. Carta S, Sanna D, Scarpa F, Varcasia A, Cavallo L, Meloni MP, et al. Species diversity and molecular insights into phlebotomine sand flies in Sardinia (Italy)—an endemic region for leishmaniasis. Parasitol Res Parasitology Research. 2020;119:63–73.

    Article  CAS  PubMed  Google Scholar 

  52. Gálvez R, Descalzo MA, Miró G, Jiménez MI, Martín O, Dos Santos-Brandao F, et al. Seasonal trends and spatial relations between environmental/meteorological factors and leishmaniosis sand fly vector abundances in Central Spain. Acta Trop. 2010;115:95–102.

    Article  PubMed  Google Scholar 

  53. Baum M, de Castro EA, Pinto MC, Goulart TM, Baura W, do Klisiowicz DR, et al. Molecular detection of the blood meal source of sand flies (Diptera: Psychodidae) in a transmission area of American cutaneous leishmaniasis, Paraná State, Brazil. Acta Trop. 2015;143:8–12.

  54. Lewis DJ. Phlebotomid sandflies. Bull World Health Organ. 1971;44:535–51.

    CAS  PubMed  PubMed Central  Google Scholar 

  55. Leschnik M, Löwenstein M, Edelhofer R, Kirtz G. Imported non-endemic, arthropod-borne and parasitic infectious diseases in Austrian dogs. Wien Klin Wochenschr. 2008;120:59–62.

    Article  PubMed  Google Scholar 

  56. Koehler K, Stechele M, Hetzel U, Domingo M, Schönian G, Zahner H, et al. Cutaneous leishmaniosis in a horse in southern Germany caused by Leishmania infantum. Vet Parasitol. 2002;109:9–17.

    Article  PubMed  Google Scholar 

  57. Müller N, Welle M, Lobsiger L, Stoffel MH, Boghenbor KK, Hilbe M, et al. Occurrence of Leishmania sp. in cutaneous lesions of horses in Central Europe. Vet Parasitol. 2009;166:346–51.

    Article  PubMed  Google Scholar 

  58. Lobsiger L, Müller N, Schweizer T, Frey CF, Wiederkehr D, Zumkehr B, et al. An autochthonous case of cutaneous bovine leishmaniasis in Switzerland. Vet Parasitol. 2010 (cited 2019 Nov 19);169:408–14. https://www.sciencedirect.com/science/article/pii/S0304401710000415.

Download references

Acknowledgements

We would like to express our sincere thanks to Vice Lieutenant Mueller from the military command Bruckneudorf (Benedek-Kaserne) and Vice Lieutenant Gaber, Mr. Sauer, Mr. Stark and Mr. Banfi from the military command Straß in der Steiermark (Erzherzog-Karl-Kaserne) for the excellent cooperation during field work. We thank the owners of the properties where trappings have been performed. Special thanks to the Central Institute for Meteorology and Geodynamics (ZAMG) for collaboration and providing climate data. The authors are deeply thankful to Iveta Haefeli for technical support. We are also very thankful to Dr. Jeremy Camp for a careful linguistic revision of the manuscript.

Funding

The study was supported by the Austrian Federal Ministry of Defence and the Medical University of Vienna, Austria. The additional support from the European Regional Development Fund (projects BIOCEV CZ.1.05/1.1.00/02.0109 and CZ.02.1.01/0.0/0.0/16_019/0000759) is gratefully acknowledged. The funders had no role in the study design, data collection and analysis, decision to publish or preparation of the manuscript. Edwin Kniha is a recipient of a DOC Fellowship and is funded by the Austrian Academy of Science (ÖAW). His stay at the Department of Parasitology, Charles University, was funded by the European Union’s Horizon 2020 research and innovation programme Infravec2, research infrastructures for the control of insect vector-borne diseases under grant agreement no. 731060.

Author information

Author notes

  1. Edwin Kniha and Markus Milchram contributed equally to this work

Authors and Affiliations

  1. Institute of Specific Prophylaxis and Tropical Medicine, Center for Pathophysiology, Infectiology and Immunology, Medical University of Vienna, Vienna, Austria

    Edwin Kniha & Julia Walochnik

  2. Institute of Zoology, Department of Integrative Biology and Biodiversity Research, University of Natural Resources and Life Sciences, Vienna, Austria

    Markus Milchram

  3. Department of Parasitology, Faculty of Science, Charles University, Prague, Czech Republic

    Vít Dvořák & Petr Volf

  4. BioCeV, Institute of Microbiology of the Czech Academy of Sciences, Vestec, Czech Republic

    Petr Halada

  5. Division of Science, Research and Development, Federal Ministry of Defence, Vienna, Austria

    Adelheid G. Obwaller

  6. Department of Dermatology and Tropical Medicine, Military Medical Cluster East, Austrian Armed Forces, Vienna, Austria

    Wolfgang Poeppl & Gerhard Mooseder

Authors
  1. Edwin Kniha
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Markus Milchram
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Vít Dvořák
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Petr Halada
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Adelheid G. Obwaller
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Wolfgang Poeppl
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Gerhard Mooseder
    View author publications

    You can also search for this author in PubMed Google Scholar

  8. Petr Volf
    View author publications

    You can also search for this author in PubMed Google Scholar

  9. Julia Walochnik
    View author publications

    You can also search for this author in PubMed Google Scholar

Contributions

EK, AGO, WP, GM and JW designed the study. EK and AGO conducted field work. EK, VD and PH performed laboratory work. EK, MM, VD, PH and MK analysed the data. EK, MM, VD, PV and JW wrote the manuscript. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Julia Walochnik.

Ethics declarations

Ethics approval and consent to participate

Not applicable.

Consent for publication

Not applicable.

Conflict of interest

The authors declare that they have no competing interests.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Additional file 1: Table S1.

Number of collected specimens by sex, trap id and month.

Additional file 2: Table S2.

Sand fly activity period by location and year.

Additional file 3: Figure S1.

Predictions of sand fly activity and temperature by location.

Additional file 4: Figure S2.

Predictions of sand fly activity and humidity by location.

Additional file 5: Figure S3.

Predictions of sand fly activity and air pressure by location.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and Permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Kniha, E., Milchram, M., Dvořák, V. et al. Ecology, seasonality and host preferences of Austrian Phlebotomus (Transphlebotomus) mascittii Grassi, 1908, populations. Parasites Vectors 14, 291 (2021). https://doi.org/10.1186/s13071-021-04787-2

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s13071-021-04787-2

Keywords

  • Phlebotomine sand fly
  • Central Europe
  • Climate
  • Blood meal
  • MALDI-TOF

Parasites & Vectors

ISSN: 1756-3305

Contact us