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Evaluation of a pan-Leishmania SL RNA qPCR assay for parasite detection in laboratory-reared and field-collected sand flies and reservoir hosts

Abstract

Background

In eco-epidemiological studies, Leishmania detection in vectors and reservoirs is frequently accomplished by high-throughput and sensitive molecular methods that target minicircle kinetoplast DNA (kDNA). A pan-Leishmania SYBR green quantitative PCR (qPCR) assay which detects the conserved spliced-leader RNA (SL RNA) sequence was developed recently. This study assessed the SL RNA assay performance combined with a crude extraction method for the detection of Leishmania in field-collected and laboratory-reared sand flies and in tissue samples from hyraxes as reservoir hosts.

Methods

Field-collected and laboratory-infected sand fly and hyrax extracts were subjected to three different qPCR approaches to assess the suitability of the SL RNA target for Leishmania detection. Nucleic acids of experimentally infected sand flies were isolated with a crude extraction buffer with ethanol precipitation and a commercial kit and tested for downstream DNA and RNA detection. Promastigotes were isolated from culture and sand fly midguts to assess whether there was difference in SL RNA and kDNA copy numbers. Naive sand flies were spiked with a serial dilution of promastigotes to make a standard curve.

Results

The qPCR targeting SL RNA performed well on infected sand fly samples, despite preservation and extraction under presumed unfavorable conditions for downstream RNA detection. Nucleic acid extraction by a crude extraction buffer combined with a precipitation step was highly compatible with downstream SL RNA and kDNA detection. Copy numbers of kDNA were found to be identical in culture-derived parasites and promastigotes isolated from sand fly midguts. SL RNA levels were slightly lower in sand fly promastigotes (ΔCq 1.7). The theoretical limit of detection and quantification of the SL RNA qPCR respectively reached down to 10−3 and 10 parasite equivalents. SL RNA detection in stored hyrax samples was less efficient with some false-negative assay results, most likely due to the long-term tissue storage in absence of RNA stabilizing reagents.

Conclusions

This study shows that a crude extraction method in combination with the SL RNA qPCR assay is suitable for the detection and quantification of Leishmania in sand flies. The assay is inexpensive, sensitive and pan-Leishmania specific, and accordingly an excellent assay for high-throughput screening in entomological research.

Background

Leishmaniasis is a vector-borne disease caused by protozoans of the genus Leishmania, which are transmitted during the blood-feeding of female phlebotomine sand flies. The infection can be manifested in three major clinical forms, cutaneous (CL), mucocutaneous, and visceral leishmaniasis [1].

In Ethiopia, Leishmania aethiopica is the predominant species causing CL and its vectors are Phlebotomus longipes and P. pedifer [2,3,4]. Hyraxes (Heterohyrax brucei and Procavia capensis) have been found asymptomatically infected with L. aethiopica in large numbers, indicating that they are major animal reservoirs in Ethiopia [3,4,5].

For eco-epidemiological research, which is often covering large sample sizes, there is a need for low-cost, sensitive, high-throughput methods to identify and quantify Leishmania parasites in (potential) vectors and hosts [6]. The golden standard for parasite detection in sand flies and animal tissues is microscopy examination. This method allows to confirm the presence of viable parasites, but is time consuming and requires a substantial level of expertise [7]. These drawbacks resulted in a shift towards sample screening with molecular assays. Procedures generally start with nucleic acid extraction for which efficient, but expensive kits are commercially available. Low-cost methods, like organic (i.e. phenol-chloroform) or chelex extractions, are widely utilized, but have disadvantages. The former method is very time consuming and often involves toxic chemicals while the latter only yields low amounts of genomic DNA [8]. Extraction approaches with lysis buffers containing SDS, EDTA, Tris-HCl and NaCl have been applied successfully to various tissues [9], although this crude procedure may lead to inhibition in downstream molecular applications [8].

A variety of (real-time) PCR methods targeting different gene fragments has been described, many of which remain to be validated on multiple Leishmania species and different tissues, or have issues regarding quantification [10, 11]. The most commonly used PCR assay for Leishmania detection in sandflies [12, 13] and small mammals [14,15,16] is targeting the minicircle kinetoplast DNA (kDNA). Because of the high kDNA copy number (104 minicircles per parasite), very low numbers of parasites can be detected [7]. However, the nucleotide sequence and copy number sometimes differ among Leishmania species, impeding consistent quantification [17, 18]. Another concern is that it sometimes results in false positive assay results due to its high sensitivity, even though all preventive measures to avoid contamination are taken [19,20,21].

Few studies investigated the use of RNA targets for parasite detection, although these may be more informative than DNA targets given the ability to discriminate viable parasites [22]. Recently, a pan-Leishmania SYBR Green quantitative PCR (qPCR) assay has been developed, targeting the highly conserved mini-exon encoded 39 bp spliced-leader RNA (SL RNA) sequence, which shows excellent sensitivity and specificity. The assay was able to detect eight Old- and New-World Leishmania species with equal threshold cycle (Cq) values and was validated on tissue samples of L. infantum-infected hamsters, promastigote spiked human blood and blood nucleic acid extracts from visceral leishmaniasis patients. It appeared that the limit of detection (LoD) of the SL RNA qPCR was one log lower than the LoD of a TaqMan duplex assay targeting kDNA [23].

In this study, we aimed to evaluate the SL RNA qPCR assay in combination with a crude extraction procedure for detection and quantification of Leishmania parasites in field- and laboratory-collected (infected) sand flies and hyrax tissue samples collected in Ethiopia.

Methods

Parasites

The L. major strain MHOM/SA/85/JISH118 used in this study was cultivated in vitro at 26 °C in HOMEM promastigote medium (Gibco, Life Technologies, Ghent, Belgium), supplemented with 10% inactivated fetal calf serum (Invitrogen, Merelbeke, Belgium) and was sub-cultured twice weekly.

Sand flies

Lutzomyia longipalpis sand flies were maintained at the insectary of the Laboratory of Microbiology, Parasitology and Hygiene, Antwerp, Belgium. The colony was kept at 25–26 °C, 75% relative humidity and 12:12 h light:dark photoperiod. A 30% sugar source was permanently provided to adult sand flies. Depending on the experiment, naive or experimentally infected L. longipalpis were used. For laboratory infection, the sand flies were starved 12 h prior to feeding through a chick-skin membrane on heparinized (100 U/ml blood) heat-inactivated mouse blood spiked with L. major procyclic promastigotes (5 × 106 promastigotes/ml blood). Engorged females were separated 24 h post-blood meal and were continuously provided with 30% sugar solution.

Phlebotomus pedifer sand flies were captured in a previous study in Ochollo (6°11′ N, 37°41′ E), a village in southwestern Ethiopia where CL is endemic [24, 25]. Sand flies were captured between March 2017 and February 2018 using CDC light traps and sticky traps. Specimens were stored in 97% ethanol at − 20 °C until nucleic acid isolation was carried out in March 2018 (as described in ‘Sand fly nucleic acid isolation and purification’ below and in [24]). Leishmania DNA positive sand flies were all P. pedifer infected with L. aethiopica [24]. Nucleic acid extracts were stored at − 20 °C until analysis for the current study.

Hyraxes

Hyraxes had been captured in Ochollo using traditional trapping methods in 2017. Nose and ear samples were collected and stored in 97% ethanol at − 20 °C until further handling. Molecular analyses revealed that all hyraxes were H. brucei infected with L. aethiopica. The original tissue samples in 97% ethanol were stored at − 20 °C until analysis [24].

SL RNA qPCR evaluation on field and laboratory-infected sand flies and hyraxes

Sand fly nucleic acid isolation and purification

Experimentally infected (L. major) L. longipalpis were collected six days after infection for dissection of the thorax and abdomen (n = 96). Nucleic acids of these specimens were isolated with a crude extraction buffer and purified using an ethanol precipitation approach as described previously [24]. In short, individual sand fly specimens were incubated overnight in 50 µl extraction buffer (10 mM Tris-HCl pH 8, 10 mM EDTA, 0.1 % SDS, 150 mM NaCl) and 0.5 µl proteinase K (200 µg/ml) without maceration. The next day, 25 µl nuclease-free water was added and the samples were heated for 5 min at 95 °C. For nucleic acid precipitation, 20 µl of the extract was supplemented with 1/10th volume 3 M NaOAc (pH 5.6) and 2 volumes 97% ethanol (chilled at − 20 °C). This suspension was left overnight, after which the samples were centrifuged for 15 min at 21,000×g at 4 °C. The supernatant was removed and 500 µl chilled 70% ethanol was added, followed by centrifugation under the same conditions. The supernatant was removed, and the pellet was air-dried for 15 min in a heating block at 50 °C followed by resuspension in 20 µl nuclease-free water.

Additionally, 37 P. pedifer nucleic acid extracts were selected from our previous study (see section ‘Sand flies’), of which 17 were identified as L. aethiopica positive (kDNA and ITS1) and 20 as negative (kDNA) [24].

DNA/RNA extraction from hyrax samples

Seven L. aethiopica DNA positive (kDNA and ITS-1) and 15 negative hyrax tissue samples were selected from our previous study (see section ‘Hyraxes’) [24]. DNA and RNA were simultaneously extracted from the original tissue samples with the NucleoSpin RNA kit (Macherey Nagel, Düren, Germany) and additional reagents from the NucleoSpin RNA/DNA buffer set (Macherey Nagel) according to the manufacturer’s instructions.

Molecular screening

Nucleic acid extracts of the sand fly and hyrax samples were subjected to three different real-time PCR approaches, targeting four markers: (i) kDNA and 18S DNA in a multiplex TaqMan probe assay (further referred to as ‘MP kDNA’ and ‘18S DNA’, respectively); (ii) kDNA in a SYBR Green assay with an alternate set of primers (‘JW kDNA’); and (iii) SL RNA in a SYBR Green assay (‘SL RNA’). The primers for the JW kDNA qPCR were adopted from Nicolas et al. [14] and the assay was carried out as explained in our previous study [24], while the other assays were performed as described by Eberhardt et al. [23]. All extracts were diluted 1:10 prior to qPCR to prevent inhibition of the polymerase enzyme. All assays were run on a Step One Plus real-time qPCR system (Applied Biosystems, Life Technologies) and the threshold was set at 1 for each qPCR.

Copy number and comparison of extraction methods

Promastigote isolation from sand fly midgut and culture

We assessed whether there is a potential copy number difference of kDNA and SL RNA between parasites isolated from sand fly midguts and in vitro cultures in HOMEM. First, promastigotes were harvested from midguts of L. major experimentally infected L. longipalpis (see section ‘Sand flies’). Sand flies were collected six days after feeding on a blood meal containing parasites, and the midguts were dissected under a dissection microscope. Pools of midguts were macerated with a pestle in 100 µl Dulbecco’s phosphate-buffered saline (DPBS; Gibco, Thermo Fisher Scientific, Ghent, Belgium) to release the parasites. Secondly, L. major promastigotes from a culture were counted using a KOVA chamber to determine parasite concentration. An excess volume was taken for further washing steps. Both suspensions were washed twice in 100 µl DPBS with intermediate centrifugation steps of 1 min at 21,300×g. The pellet was resuspended in 100 µl DPBS. Parasite concentrations were determined in a KOVA chamber and used to prepare two replicates of 106, 105 and 104 parasites in 20 µl DPBS from promastigotes isolated from the sand fly midguts and from culture.

DNA/RNA isolation and molecular screening

To determine whether the crude extraction buffer in combination with ethanol precipitation is suitable for efficient nucleic acid isolation and subsequent downstream RNA and DNA detection, nucleic acids from three different concentrations of promastigotes, isolated from either sand fly midguts or culture medium, were extracted using (i) a Nucleospin RNA kit and additional RNA/DNA buffer set (Macherey Nagel) and (ii) the crude extraction buffer and ethanol precipitation approach. For the latter, the complete volume of the nucleic acid extract was used for ethanol precipitation. The final elution volumes were equalized to ensure the same relative DNA and RNA yields for both methods. All extracts were subjected in duplicate to the qPCRs targeting JW kDNA and SL RNA.

Contribution of RNA versus DNA in the SL RNA qPCR assay

Ten L. major-infected L. longipalpis nucleic acid isolates that were used for the qPCR assay comparison experiment were selected. These samples were subjected in duplicate to the SL RNA qPCR assay with and without the use of a reverse transcriptase enzyme to demonstrate how much of the fluorescent signal originates from RNA versus DNA in the crude sand fly extracts. For the assay without reverse transcriptase, the volume of the enzyme was replaced by nuclease-free water. The percentage of DNA detected by the SL RNA qPCR assay was calculated by \(\frac{{ 1 0 0 {\text{\% }}}}{{ 2^{{ ( {\text{Cq with RT - Cq without RT)}}}} }}\) based on the assumption that each PCR cycle doubles the number of amplicons.

Sand fly spiking

Promastigotes (L. major) were harvested from a stationary-phase culture (see section ‘Parasites’) and washed with DPBS. The number of promastigotes was determined in a KOVA counting chamber and the pellet was stored at − 20 °C until extraction. Naive laboratory-reared L. longipalpis sand flies were spiked with a 10-fold serial dilution of L. major promastigotes, ranging from 1.6 × 107 to 1.6 × 10−6 parasites. The samples were extracted with the crude extraction buffer and ethanol precipitation approach, and subsequently subjected in duplicate to the SL RNA qPCR.

Data analysis

Analyses were carried out using GraphPad Prism version 8 (GraphPad Software, La Jolla California, USA). The correlation between the Cq values of the qPCRs targeting SL RNA and the other three markers was determined by a Pearson’s correlation test. This analysis was performed using the infected field-collected sand flies because of the broad range of Cq values. A standard curve with linear regression and PCR efficiency was generated to determine the theoretical LoD and limit of quantification (LoQ) of the SL RNA qPCR.

Results

Evaluation of the SL RNA qPCR for Leishmania detection

Of the 96 L. major-infected laboratory L. longipalpis sand flies, two samples were negative and 82 were positive assays (Fig. 1a, Additional file 1: Table S1, Additional file 2: Data S1). Among the samples that were positive by all qPCRs, the 18S DNA marker provided the highest mean Cq value (30.3 ± 2.3), followed by MP kDNA (17.3 ± 1.4), JW kDNA (14.6 ± 1.4) and SL RNA (13.8 ± 0.9). Ten samples were not positive for the 18S DNA marker, but were detected by all other markers. These samples had higher mean Cq values of 21.4 ± 4.4, 17.5 ± 3.1) and 17.1 ± 2.4 for the MP kDNA, JW kDNA and SL RNA markers, respectively. Two sand fly specimens with the highest Cq values for the JW kDNA (27.1 ± 0.2) and SL RNA (25.7 ± 0.7) qPCRs were not positive for the MP kDNA target. Overall, the JW kDNA and SL RNA qPCRs provided concordant results on the laboratory-infected sand flies.

Fig. 1
figure 1

qPCR Cq values of laboratory—(a) and field-infected (b) sand flies, and infected hyrax tissue samples (c). Mean Cq values and error bars (standard deviation) are presented for the samples that were positive in all assays that they were tested for. Due to technical issues, the analysis of the 18S DNA qPCR on hyrax tissue samples was not included. Abbreviation: Cq, quantification cycle

Among the field-collected, ethanol stored sand fly specimens, 20 were negative and 17 positive for all assays (Fig. 1b, Additional file 1: Table S1, Additional file 3: Data S2). Mean Cq values of the JW kDNA and SL RNA qPCRs were similar (13.7 ± 3.9 and 14.7 ± 3.4, respectively) and consistently lower than the Cq values obtained by the duplex assay (18S DNA: 24.2 ± 4.2 and MP kDNA: 22.9 ± 4.2). The difference in Cq values between the MP kDNA and JW kDNA markers was larger for P. pedifer infected with L. aethiopica than for L. longipalpis infected with L. major (Fig. 1a versus b).

Seven out of 22 long-term stored hyrax tissue samples tested positive for two or more markers (Fig. 1c, Additional file 1: Table S1, Additional file 4: Data S3). Four samples were positive in all assays, resulting in the lowest Cq values for JW kDNA (16.6 ± 1.7), compared to SL RNA (27.5 ± 2.8) and MP kDNA (32.6 ± 1.2). Two samples with high Cq values in the JW kDNA and SL RNA qPCRs were negative for the MP kDNA marker, while one sample was positive for the MP kDNA and JW kDNA targets with high Cq values, but not by the SL RNA qPCR.

Overall, Pearson’s correlation showed that the Cq values for the SL RNA target correlated quite well with the Cq values of the JW kDNA (Fig. 2a; R2 = 0.82, n = 17), MP kDNA (Fig. 2b; R2 = 0.90, n = 17) and 18S DNA markers (Fig. 2c; R2 = 0.88, n = 17) based on field-collected sand flies. For all comparisons, the confidence intervals increased towards the higher Cq values, which could be due to slight inhibition of the SL RNA qPCR.

Fig. 2
figure 2

Correlation between Cq values obtained by the different qPCR assays. Correlations between Cq values of the SL RNA qPCR and the JW kDNA qPCR (a), MP kDNA qPCR (b) and 18S DNA qPCR (c). Pearson’s correlation analysis of the results obtained with the different assays. Linear regression and 95% confidence intervals (dotted lines) are shown in the graphs. Abbreviation: Cq, quantification cycle

Extraction method comparison and copy number difference

The crude extraction buffer with ethanol precipitation and column purification (respectively referred to as ‘crude’ and ‘column’ in Fig. 3) methods showed similar extraction efficiencies for kDNA, with comparable Cq values obtained for the standardized concentrations of promastigotes isolated from culture or sand fly midguts (Additional file 5: Data S4). Likewise, both methods performed well for SL RNA extraction, although the RNA yield appeared even slightly higher (on average 1.5 lower Cq values) with the crude method. The Cq values for kDNA were similar for promastigotes isolated from culture and sand fly midguts (Fig. 3, grey versus black symbols). For SL RNA, both extraction methods revealed that the Cq values for sand fly derived promastigotes were slightly but consistently higher (Cq on average 1.7) than those for culture-derived promastigotes. The JW kDNA qPCR reaction suffered inhibition in both runs for 106 promastigotes isolated from sand fly midguts (Fig. 3, lacking grey circle for ‘crude’).

Fig. 3
figure 3

Extraction method and copy number comparison. Cq values of promastigotes isolated from culture (black symbols) and sand fly midguts (grey symbols) that were extracted with a commercial column extraction (‘column’) or crude high-salt extraction buffer (‘crude’) and subjected to JW kDNA and SL RNA qPCRs. Each symbol presents the assay result for a standardized concentration of promastigotes that was used for the comparisons. Abbreviation: Cq, quantification cycle

Contribution of RNA versus DNA in the SL RNA qPCR assay

The differences in Cq values of the ten L. major-infected L. longipalpis nucleic acid extracts screened by the SL RNA qPCR with and without reverse transcriptase are presented in Table 1 (Additional file 6: Data S5). When the assay was performed without reverse transcriptase, the Cq values were on average 5.1 ± 1.1 higher than when the enzyme was used, meaning that only 3.8% (± 2.7%) of the fluorescence produced by the SL RNA qPCR assay was because of DNA amplification, while the remaining signal originated from SL RNA.

Table 1 Cq values of the SL RNA qPCR assay with and without reverse transcriptase enzyme

LoD and LoQ of the SL RNA qPCR assay

Based on the serial dilution of L. longipalpis sand flies spiked with L. major promastigotes, the theoretical LoD of the SL RNA qPCR was 10−3 parasite equivalents (Fig. 4a, Additional file 7: Data S6). For 1.6 × 107 promastigotes, the assay did not provide a result in any of the two independent runs, implying that there was PCR inhibition at this concentration. The assay showed a very good PCR efficiency of 105% for the serial dilution down to 10 parasites, representing the theoretical LoQ. The Pearson’s correlation demonstrated an excellent inter-run stability for the two independent runs of the SL RNA qPCR on the serial dilution (Fig. 4b; R2 = 0.99, n = 10).

Fig. 4
figure 4

Performance of the SL RNA qPCR on a serial dilution of sand flies spiked with promastigotes. a Standard curve with linear regression and qPCR efficiency. The open symbols depict all concentrations that were detected by the assay, while the filled symbols are the parasite concentrations that show a linear correlation. b Inter-run variability of the SL RNA qPCR in two replicates, analyzed by Pearson’s correlation and linear regression analysis. Dotted lines indicate the 95% confidence intervals. Abbreviation: Cq, quantification cycle

Discussion

For eco-epidemiological surveys, a large number of sand fly and potential reservoir samples need to be screened in order to find some Leishmania-positive specimens, because the infection prevalence is overall quite low, even in endemic areas [24, 26]. Therefore, researchers currently opt for sensitive, low-cost, high-throughput molecular screening methods for Leishmania detection in vectors and potential hosts. These molecular methods are often expensive TaqMan probe assays that target DNA sequences, which may persist for quite some time after parasite death [27]. In our study, we evaluated whether the recently developed SL RNA qPCR assay by Eberhardt et al. [23] enables Leishmania detection in sand flies and skin tissue from CL-infected animals. The targeted 39-bp SL RNA sequence is conserved amongst Leishmania species and fulfils an essential function in RNA trans-splicing and polyadenylation processes [28]. To our knowledge, this study is the first to evaluate the use of an RNA target for Leishmania detection in vectors and field-sampled tissue of reservoir hosts and to combine it with a low-cost extraction method. Since RNA quickly decays after death of the infectious agent, it is considered as a promising detection marker for viable Leishmania parasites [22, 29, 30], although the half-life of SL RNA as a small nuclear RNA molecule remains to be determined. We assessed the performance of the SL RNA qPCR assay in comparison with two other molecular diagnostic assays on field-collected and laboratory-infected sand flies that were extracted with the crude method and hyrax tissue samples. The JW kDNA [14, 24] and SL RNA qPCRs [23] showed concordant results using the laboratory L. major-infected L. longipalpis and field-collected L. aethiopica-infected P. pedifer sand flies. Both assays identified the same positive and negative samples, indicating that they have a similar analytical sensitivity and specificity. It was surprising that the SL RNA qPCR performed very well on field-collected sand flies, considering that these samples had not been preserved under favorable conditions for RNA, which may relate to the short amplicon length [31, 32]. These observations indicate that SL RNA could be an interesting target for Leishmania detection in vectors collected during entomological surveys.

On the contrary, the MP kDNA and 18S DNA targets could not identify all positive laboratory-infected sand flies. One reason is the low copy number of the 18S rDNA fragment (50–200 copies per Leishmania genome) [33] compared to the much higher copy number of SL RNA (a single Trypanosoma cell contains about 8600 copies [34]) and kDNA (a Leishmania parasite contains approximately 10,000 copies [35]). Whereas the Cq values for kDNA were fairly similar in promastigotes isolated from sand flies and from culture, Cq values for SL RNA were more distinct, suggesting that this marker is potentially slightly less abundant in parasites isolated from sand flies. This may indicate a reduced transcriptional activity of the vector-derived parasite pool (containing various life-cycle stages) as compared to culture-derived parasites.

The duplex assay targeting the MP kDNA marker could not identify some of the laboratory-infected sand flies that were positive by the JW kDNA and SL RNA qPCRs and Cq values for the MP kDNA target were generally slightly higher than for the JW kDNA assay. This is most probably because multiplex qPCRs are commonly slightly less sensitive than uniplex assays and due to the intrinsic difference in fluorescent signal development between SYBR Green and TaqMan probe assays [36, 37]. Additionally, the qPCR targeting the MP kDNA marker resulted in higher Cq values on the field-collected sand flies (L. aethiopica-infected) compared to laboratory-infected sand flies (L. tropica), which most probably relates to mismatches of the reverse primer with the L. aethiopica kDNA fragment (Fig. 5) [17]. Earlier observations of a lower sensitivity for L. tropica (genetically very similar to L. aethiopica) and L. mexicana [23] corroborates the limitations of this MP kDNA target that was originally described by Mary et al. [17] for detection of L. donovani. The SL RNA qPCR provided equal Cq values for various Leishmania species, demonstrating its suitability as a pan-Leishmania assay [23].

Fig. 5
figure 5

Annealing of MP kDNA qPCR primers to the L. aethiopica kDNA fragment (GenBank: U77892.1)

Although only a few positive hyrax tissue samples were tested, the JW kDNA qPCR could identify most of the true-positive samples under the used sample storage conditions. A sample was considered positive if identified by two different assays. The SL RNA assay identified one false-negative sample and showed generally higher Cq values compared to the JW kDNA PCR than for sand fly screening, which is probably due to the fact that the samples had been stored in ethanol for two years before DNA/RNA extraction was performed. Most likely, proper RNA storage conditions and/or immediate RNA isolation would result in a substantially improved performance of the SL RNA qPCR on tissue samples [32, 34]. Favoring this viewpoint, the SL RNA qPCR showed excellent analytical sensitivity in laboratory-infected (L. infantum) mouse spleen and liver samples, detecting down to 10−3 parasite equivalents per mg tissue [23].

Considering the large sample size that needs to be screened in search for positive field specimens, a low-cost, efficient nucleic acid extraction method is preferred [9]. We found that a crude extraction buffer in combination with an ethanol precipitation step is as efficient as a commercial column extraction for downstream DNA and RNA detection in sand flies. Cq values tended to be even slightly lower when the extraction was carried out with the crude method, suggesting that there is some nucleic acid loss on the silica columns, or in addition, that some DNA is detected. Other important advantages of this crude extraction method are the low-cost and reduction in sample processing time as maceration is not required [8, 9]. The latter is compensated by a more time-consuming ethanol precipitation step. However, because of the low prevalence in field-collected sand flies, individual extracts can be pooled to reduce the number of samples for purification and PCR [24]. This method extracts all nucleic acids, including RNA and DNA. Nevertheless, we found that only a fraction of the generated signal of the SL RNA qPCR originates from DNA amplification, which is quite low considering the storage conditions and crude extraction method used. The actual contribution of RNA versus DNA in positive samples can be easily assessed by comparison with a no-reverse transcription control.

Determination of the parasite load in sand flies can be highly informative, especially for studies that investigate, e.g. the vectorial capacity. Previously, the LoD of the SL RNA qPCR on cultured promastigotes has been established at 0.0002 parasite equivalents [23]. We assessed the theoretical LoD of the SL RNA qPCR based on sand flies spiked with a serial dilution of L. major promastigotes. The determined theoretical LoD of 10−3 parasite equivalents per reaction of our assay is similar to findings of Bezerra-Vasconcelos et al. [13], who could detect 10−3 parasites per reaction with a kDNA qPCR assay on L. infantum-spiked L. longipalpis sand flies. This substantiates that the sensitivity of qPCR assays targeting SL RNA and kDNA are comparable, which corroborates the comparative assessment performed in the present study. Moreover, congruence of the assays appears very good, indicating that both can achieve reliable quantification. Based on the standard curve, it can be concluded that SL RNA qPCR can quantify down to 10 parasites per sand fly with high PCR efficiency, which is sufficient for determination of biologically relevant parasite loads.

Conclusions

Overall, to the best of our knowledge, this study shows for the first time that the SL RNA target can be used for detection and quantification of Leishmania parasites in field-collected and laboratory-infected sand flies, even in combination with a crude, low-cost extraction method. The SL RNA qPCR assay is inexpensive, sensitive and pan-Leishmania specific, which can be a major advantage for eco-epidemiological studies including identification of vectors and reservoirs.

Availability of data and materials

All data generated and analyzed during this study are included within this published article and its additional files.

Abbreviations

CL:

cutaneous leishmaniasis

kDNA:

kinetoplast DNA

qPCR:

quantitative PCR

SL RNA:

spliced leader RNA

Cq:

quantification cycle

LoD:

limit of detection

LoQ:

limit of quantification

References

  1. Parasites - Leishmaniasis. Center of disease control and prevention. 2013. Available from: https://www.cdc.gov/parasites/leishmaniasis/biology.html. Accessed 7 Sept 2018.

  2. Bray RS, Ashford RW, Bray MA. The parasite causing cutaneous leishmaniasis in Ethiopia. Trans R Soc Trop Med Hyg. 1973;67:345–8.

    Article  CAS  Google Scholar 

  3. Ashford R, Bray M, Hutchinson P, Bray S. The epidemiology of cutaneous leishmaniasis in Ethiopia. Trans R Soc Trop Med Hyg. 1973;67:568–601.

    Article  CAS  Google Scholar 

  4. Lemma W, Erenso G, Gadisa E, Balkew M, Gebre-michael T, Hailu A. A zoonotic focus of cutaneous leishmaniasis in Addis Ababa, Ethiopia. Parasit Vectors. 2009;2:60.

    Article  Google Scholar 

  5. Ashford RW. A possible reservoir for Leishmania tropica in Ethiopia. Trans R Soc Trop Med Hyg. 1970;64:936–7.

    Article  CAS  Google Scholar 

  6. Rogers ME, Bates PA. Leishmania manipulation of sand fly feeding behavior results in enhanced transmission. PLoS Pathog. 2007;3:e91.

    Article  Google Scholar 

  7. Galluzzi L, Ceccarelli M, Diotallevi A, Menotta M, Magnani M. Real-time PCR applications for diagnosis of leishmaniasis. Parasit Vectors. 2018;11:273.

    Article  Google Scholar 

  8. Asghar U, Malik MF, Anwar F, Javed A, Raza A. DNA extraction from insects by using different techniques: a review. Adv Entomol. 2015;3:132–8.

    Article  Google Scholar 

  9. Kato H, Uezato H, Gomez EA, Terayama Y, Calvopiña M, Iwata H. Establishment of a mass screening method of sand fly vectors for Leishmania infection by molecular biological methods. Am J Trop Med Hyg. 2007;77:324–9.

    Article  Google Scholar 

  10. Odiwuor SOC, Saad AA, De Doncker S, Maes I, Laurent T. Universal PCR assays for the differential detection of all Old World Leishmania species. Eur J Clin Microbiol Infect Dis. 2011;30:209–18.

    Article  Google Scholar 

  11. Simpson L, Douglass SM, Lake JA, Pellegrini M, Li F. Comparison of the mitochondrial genomes and steady state transcriptomes of two strains of the trypanosomatid parasite, Leishmania tarentolae. PLoS Negl Trop Dis. 2015;9:e0003841.

    Article  Google Scholar 

  12. Aransay ANAM, Scoulica E, Tselentis Y. Detection and identification of Leishmania DNA within naturally infected sand flies by seminested PCR on minicircle kinetoplastic DNA. Appl Environ Microbiol. 2000;66:1933–8.

    Article  CAS  Google Scholar 

  13. Bezerra-vasconcelos DR, Melo LM, Albuquerque ÉS, Luciano MCS, Bevilaqua CML. Real-time PCR to assess the Leishmania load in Lutzomyia longipalpis sand flies: screening of target genes and assessment of quantitative methods. Exp Parasitol. 2011;129:234–9.

    Article  CAS  Google Scholar 

  14. Nicolas L, Prina E, Lang T, Milon G. Real-time PCR for detection and quantitation of Leishmania in mouse tissues. J Clin Microbiol. 2002;40:1666–9.

    Article  CAS  Google Scholar 

  15. Kassahun A, Sadlova J, Dvorak V, Kostalova T, Rohousova I, Frynta D, et al. Detection of Leishmania donovani and L. tropica in Ethiopian wild rodents. Acta Trop. 2015;145:39–44.

    Article  Google Scholar 

  16. Kassahun A, Sadlova J, Benda P, Kostalova T, Warburg A, Hailu A, et al. Natural infection of bats with Leismania in Ethiopia. Acta Trop. 2015;150:166–70.

    Article  Google Scholar 

  17. Mary C, Faraut F, Lascombe L, Dumon H. Quantification of Leishmania infantum DNA by a real-time PCR assay with high sensitivity. J Clin Microbiol. 2004;42:5249–55.

    Article  CAS  Google Scholar 

  18. Weirather JL, Jeronimo SMB, Gautam S, Sundar S, Kang M, Kurtz MA, et al. Serial quantitative PCR assay for detection, species discrimination, and quantification of Leishmania spp. in human samples. J Clin Microbiol. 2011;49:3892–904.

    Article  CAS  Google Scholar 

  19. Volpini C, Passos VMA, Correa G, Romanha AJ. PCR-RFLP to identify Leishmania (Viannia) braziliensis and L. (Leishmania) amazonensis causing American cutaneous leishmaniasis. Acta Trop. 2004;90:31–7.

    Article  CAS  Google Scholar 

  20. Boni SM, Oyafuso LK, Soler RDC. Efficiency of noninvansive sampling methods (swab) together with polymerase chain reaction (PCR) for diagnosing American tegumentary leishmaniasis. Rev Inst Med Trop Sao Paulo. 2017;59:e38.

    Article  Google Scholar 

  21. Satow MM, Yamashiro-kanashiro EH, Rocha MC, Oyafuso LK, Soler RC. Applicability of kDNA-PCR for routine diagnosis of American tegumentary leishmaniasis in a tertiary reference hospital. Rev Inst Med Trop Sao Paulo. 2013;55:393–9.

    Article  Google Scholar 

  22. Keer JT, Birch L. Molecular methods for the assessment of bacterial viability. J Microbiol Methods. 2003;53:175–83.

    Article  CAS  Google Scholar 

  23. Eberhardt E, Van Den Kerkhof M, Bulté D, Mabille D, Van Bockstal L, Monnerat S, et al. Evaluation of a pan-Leishmania spliced-leader RNA detection method in human blood and experimentally infected syrian golden hamsters. J Mol Diagnostics. 2018;20:253–63.

    Article  CAS  Google Scholar 

  24. Pareyn M, Van Den Bosch E, Girma N, Van Houtte N, Van Dongen S, Van Der Auwera G, et al. Ecology and seasonality of sandflies and potential reservoirs of cutaneous leishmaniasis in Ochollo, a hotspot in southern Ethiopia. PLoS Negl Trop Dis. 2019;13:e0007667.

    Article  Google Scholar 

  25. Mengistu G, Laskay T, Gemetchu T, Humber D, Ersamo M, Eva D, et al. Cutaneous leishmaniasis in south-western Ethiopia: Ocholo revisited. Trans R Soc Trop Med Hyg. 1992;86:149–53.

    Article  CAS  Google Scholar 

  26. Assefa A. Leishmaniasis in Ethiopia: a systematic review and meta-analysis of prevalence in animals and humans. Heliyon. 2018;4:e00723.

    Article  Google Scholar 

  27. Van Den Bogaart E, Schoone GJ, Adams ER, Schallig HDFH. Duplex quantitative reverse-transcriptase PCR for simultaneous assessment of drug activity against Leishmania intracellular amastigotes and their host cells. Int J Parasitol Drugs Drug Resist. 2014;4:14–9.

    Article  Google Scholar 

  28. Perry KL, Watkins KP, Agabian N. Trypanosome mRNAs have unusual “cap 4” structures acquired by addition of a spliced leader. Proc Natl Acad Sci USA. 1987;84:8190–4.

    Article  CAS  Google Scholar 

  29. Analysis RP, Cangelosi GA, Weigel KM, Lefthand-begay C, Meschke JS. Molecular detection of viable bacterial pathogens in water by ratiometric pre-rRNA analysis. Appl Environ Microbiol. 2010;76:960–2.

    Article  Google Scholar 

  30. Gabaint AVON, Belasco JG, Schottel JL, Annie CY, Cohen SN. Decay of mRNA in Escherichia coli: investigation of the fate of specific segments of transcripts. Proc Natl Acad Sci USA. 1983;80:653–7.

    Article  Google Scholar 

  31. Debode F, Marien A, Janssen É, Bragard C, Berben G. The influence of amplicon length on real-time PCR results. Biotechnol Agron Soc Environ. 2017;21:3–11.

    CAS  Google Scholar 

  32. Kuang J, Yan X, Genders AJ, Granata C, Bishop DJ. An overview of technical considerations when using quantitative real-time PCR analysis of gene expression in human exercise research. PLoS One. 2018;13:e0196438.

    Article  Google Scholar 

  33. Srivastava P, Mehrotra S, Tiwary P, Chakravarty J, Sundar S. Diagnosis of Indian visceral leishmaniasis by nucleic acid detection using PCR. PLoS One. 2011;6:e19304.

    Article  CAS  Google Scholar 

  34. González-andrade P, Camara M, Ilboudo H, Bucheton B, Jamonneau V. Diagnosis of trypanosomatid infections targeting the spliced leader RNA. J Mol Diagnostics. 2014;16:400–4.

    Article  Google Scholar 

  35. Simpson L. Kinetoplast DNA in trypanosomid flagellates. Int Rev Cytol. 1986;99:119–79.

    Article  CAS  Google Scholar 

  36. Tuo D, Shen W, Yang Y, Yan P, Li X, Zhou P. Development and validation of a multiplex reverse transcription PCR assay for simultaneous detection of three papaya viruses. Viruses. 2014;341:3893–906.

    Article  Google Scholar 

  37. Yao B, Wang G, Ma X, Liu W, Tang H, Zhu H. Simultaneous detection and differentiation of three viruses in pear plants by a multiplex RT-PCR. J Virol Methods. 2014;196:113–9.

    Article  CAS  Google Scholar 

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Acknowledgements

We are grateful to Dr Gert Van der Auwera (Institute of Tropical Medicine, Antwerp, Belgium) for his advice on the interpretation of the experiments. We would also like to thank the village head and field workers in Ochollo for the possibility to collect the sand fly and hyrax samples.

Funding

MP is a fellow supported by the Flemish Interuniversity Council (VLIR-UOS, NDOC2016PR003, https://www.vliruos.be/). The work was funded by a VLIR Global Minds Small Research Grants project, the Research Fund Flanders (FWO scholarships 1136417N and 12I0317N, https://www.fwo.be) and a research fund of the University of Antwerp (TT-ZAPBOF 33049). The funders had no role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript.

Author information

Authors and Affiliations

Authors

Contributions

GC, MP and RH designed the study. MP, NG and SS coordinated and carried out the field work. MP, RH, NVH, LVB and SH performed the laboratory experiments. MP, RH and GC analyzed and interpreted the data and wrote the initial manuscript. LM and HL participated in the coordination and revised the manuscript. All authors read and approved the final manuscript.

Corresponding authors

Correspondence to Myrthe Pareyn or Guy Caljon.

Ethics declarations

Ethics approval and consent to participate

The used chicken skins were obtained from day-old male chicks of a layer breed (Verpymo, Poppel, Belgium). The euthanasia of the chicken and use of laboratory rodents were carried out in strict accordance with all mandatory guidelines (EU directives, including the Revised Directive 2010/63/EU on the Protection of Animals used for Scientific Purposes that came into force on 01/01/2013, and the declaration of Helsinki in its latest version). All animal handling was approved by the Ethics Committee of the University of Antwerp, Belgium (UA-ECD 2016–54 (2-9-2016)). Hyrax trapping and sample collection in Ethiopia were conducted with authorization of the appropriate institutional authorities. Handling of the animals was carried out according to the 2016 Guidelines of the American Society of Mammalogists for use of small mammals in research and education.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

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Supplementary information

Additional file 1: Table S1.

qPCR results of sand fly and hyrax samples from the laboratory and field in four different assays. For each assay the mean quantification cycle threshold value (± standard deviation) are presented.

Additional file 2: Data S1.

Dataset assay comparison on laboratory-infected (Leishmania major) Lutzomyia longipalpis sand flies.

Additional file 3: Data S2.

Dataset assay comparison on field-collected (Ethiopia) Phlebotomus pedifer sand flies (some L. aethiopica-infected).

Additional file 4: Data S3.

Dataset assay comparison on field (Ethiopia) collected Heterohyrax brucei tissue samples (some L. aethiopica-infected).

Additional file 5: Data S4.

Data of extraction method and copy number comparison.

Additional file 6: Data S5.

Data of SL RNA qPCR with and without the use of reverse transcriptase.

Additional file 7: Data S6.

Data of standard curve of the SL RNA qPCR based on sand flies spiked with promastigotes.

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Pareyn, M., Hendrickx, R., Girma, N. et al. Evaluation of a pan-Leishmania SL RNA qPCR assay for parasite detection in laboratory-reared and field-collected sand flies and reservoir hosts. Parasites Vectors 13, 276 (2020). https://doi.org/10.1186/s13071-020-04141-y

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