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Proceedings of the National Academy of Sciences of the United States of America logoLink to Proceedings of the National Academy of Sciences of the United States of America
. 2018 Oct 29;115(46):11790–11795. doi: 10.1073/pnas.1810435115

Plant-feeding phlebotomine sand flies, vectors of leishmaniasis, prefer Cannabis sativa

Ibrahim Abbasi a,1, Artur Trancoso Lopo de Queiroz b,1, Oscar David Kirstein a, Abdelmajeed Nasereddin c, Ben Zion Horwitz a, Asrat Hailu d, Ikram Salah e, Tiago Feitosa Mota b, Deborah Bittencourt Mothé Fraga b, Patricia Sampaio Tavares Veras b, David Poche f, Richard Poche f, Aidyn Yeszhanov g, Cláudia Brodskyn b, Zaria Torres-Poche f, Alon Warburg a,2
PMCID: PMC6243281  PMID: 30373823

Significance

Sand fly females suck blood from vertebrate animals, including humans, and thereby transmit Leishmania parasites and arboviruses. In addition, both sand fly sexes consume plant-derived sugar meals. Therefore, the structure of plant communities can influence the transmission dynamics of sand fly-borne diseases. Our findings demonstrate that, in proportion to their abundance, Cannabis sativa plants were consumed by sand flies much more frequently than expected (i.e., C. sativa is probably highly attractive to sand flies). We discuss the conceivable influence of C. sativa on the transmission of Leishmania and its potential utility for sand fly control.

Keywords: Cannabis sativa, leishmaniasis, next-generation sequencing, phlebotomine sand flies, plant feeding

Abstract

Blood-sucking phlebotomine sand flies (Diptera: Psychodidae) transmit leishmaniasis as well as arboviral diseases and bartonellosis. Sand fly females become infected with Leishmania parasites and transmit them while imbibing vertebrates’ blood, required as a source of protein for maturation of eggs. In addition, both females and males consume plant-derived sugar meals as a source of energy. Plant meals may comprise sugary solutions such as nectar or honeydew (secreted by plant-sucking homopteran insects), as well as phloem sap that sand flies obtain by piercing leaves and stems with their needle-like mouthparts. Hence, the structure of plant communities can influence the distribution and epidemiology of leishmaniasis. We designed a next-generation sequencing (NGS)–based assay for determining the source of sand fly plant meals, based upon the chloroplast DNA gene ribulose bisphosphate carboxylase large chain (rbcL). Here, we report on the predilection of several sand fly species, vectors of leishmaniasis in different parts of the world, for feeding on Cannabis sativa. We infer this preference based on the substantial percentage of sand flies that had fed on C. sativa plants despite the apparent “absence” of these plants from most of the field sites. We discuss the conceivable implications of the affinity of sand flies for C. sativa on their vectorial capacity for Leishmania and the putative exploitation of their attraction to C. sativa for the control of sand fly-borne diseases.


Phlebotomine sand flies (Diptera: Psychodidae) transmit leishmaniasis, bartonellosis, and several arboviruses that infect humans (1, 2). The leishmaniases comprise a group of diseases with diverse clinical manifestations afflicting millions of humans, typically in impoverished regions of the world (3). Only female sand flies feed on blood, which is required for the maturation of their eggs (1). Consequently, sand fly females contract Leishmania (Kinetoplastida: Trypanosomatidae) infections when they ingest infected blood and transmit the parasites during subsequent blood meals.

In addition to the females consuming blood, both male and female sand flies regularly ingest plant-derived sugar meals as a source of energy. Because of the dependence of sand flies on plant meals, the structure of plant communities can affect the spatial and temporal distribution of sand fly populations (4). Moreover, certain plants upon which sand flies feed can shorten their life or reduce their capacity for transmitting leishmaniasis (5, 6).

Sand fly plant meals may comprise nectar, honeydew, and/or phloem sap. While nectar and honeydew are readily accessible on the surface of plants, in flowers, and in extrafloral nectaries, to reach the phloem, sand flies pierce leaves and stems with their needle-like mouthparts (710).

Although phloem sap is highly nutritious and generally lacks toxicity, only a restricted range of homopteran insects (Hemiptera: Sternorrhyncha) feed exclusively on phloem sap. Some of these obligatory phloem-sucking insects concentrate scarce essential amino acids from phloem by excreting the excess sugary solutions in the form of honeydew (11). The specific types of sugars and their relative concentrations in honeydew can be used to incriminate honeydew consumers (79), while the plant sources of phloem-feeding insects can be identified by plant-specific PCR followed by DNA sequencing (12). The utility of PCR-based approaches for identifying plants consumed by phlebotomine sand flies has been demonstrated in several studies (13, 14). Most of these studies employed the ribulose bisphosphate carboxylase large chain (rbcL) gene, which is an accepted marker for phylogenetic and barcoding studies of plants (15).

State-of-the-art, next-generation sequencing (NGS) is much more sensitive than Sanger DNA sequencing and can facilitate the acquisition of vast amounts of genomic data, from complex samples, in one reaction mixture (1619). We developed an NGS-based multidetection assay for wild-caught sand flies designed to identify Leishmania infections, blood and plant meals, as well as characterize their gut microbiome. Here, we report on the plant feeding habits of several sand fly species, important vectors of leishmaniasis in different parts of the world (Fig. 1).

Fig. 1.

Fig. 1.

Compound scheme comprising a map showing the countries where sand flies were sampled and representative photographs of the sampling sites. The endemic sand fly and Leishmania species, as well as the diseases they cause, are also indicated. The leaf icon denotes the presence of C. sativa DNA in plant-fed sand flies.

Results and Discussion

Initially, we performed laboratory experiments to ascertain that plant DNA would be detectable in plant-fed sand flies. We performed PCR using primers for rbcL on insectary-reared sand flies that had access (24 h) to freshly cut branches and leaves. Of the eight flies offered Pistacia lentiscus, 50% (2) of the males and 75% (3) of the females were positive for rbcL compared with 100% (four males and four females) that had consumed Salvia judaica (Fig. 2). Since the plants were intact, were not parasitized by homopteran insects (that secrete honeydew), and had no flowers, we were confident that plant feeding was achieved by probing of leaves and/or stems. We assume that the source of the plant DNA detected in sand flies was from plant cells damaged by their mouthparts as they pierced plant tissues to reach the phloem.

Fig. 2.

Fig. 2.

Agarose gel electrophoresis of sand fly plant meals. Fresh young branches of two different plants (P. lentiscus and S. judaica) were introduced into cages with 1-d-old laboratory-reared Ph. orientalis sand flies, vectors of VL in Sudan and northern Ethiopia (2). The sand flies had not fed before the experiment. Twenty-four hours later, we extracted DNA from individual sand flies, performed rbcL PCR, and found that 13 of 16 were positive for plant DNA. Results confirmed that sand fly plant meals are detectable by PCR, at least when they feed on phloem sap (i.e., macerate some cells to reach the sap and ingest DNA from these cells).

In northern Ethiopia (Fig. 1), we used rbcL PCR to identify plants consumed by wild-caught Phlebotomus orientalis, the local vector of visceral leishmaniasis (VL) (20). We extracted DNA from 804 sand flies, achieved rbcL amplification in 65 of them, and sequenced the rbcL amplicons from 36 (Table 1 and SI Appendix, Fig. S1). The derived rbcL sequences implicated mostly common plants such as sesame (Sesamum indicum), the salient crop cultivated in that region, as well as various wild tree species from the family Fabaceae. In addition, among the plant-fed sand flies, we were surprised to find four that had consumed Cannabis sativa, which was never observed at the study site (SI Appendix, Table S1).

Table 1.

Summary of the sand flies analyzed for plant DNA by NGS or PCR

Study area Species No. of sand flies* Cannabis/plant DNA No. (%) of infected/Leishmania spp.
Sheraro/Ethiopia Ph. orientalis 804 4/36 N/D
Tubas/West Bank Ph. sergenti 31 16/24 19 (61.3)/L. tropica
Kfar Adumim/West Bank Ph. sergenti 72 F
48 M
22/62 F
13/45 M
0
Sde-Eliyahu/Israel Ph. papatasi 33 0/30 15 (45)/L. major
Bura/Kazakhstan Ph. mongolensis 211 35/102 22 (10.4)/L. major or L. turanica
Camacari/Brazil/urban Lu. longipalpis 94 18/48 5 (5.3)/L. infantum
Camacari/Brazil/rural 44 10/19 7 (15.9)/L. infantum

F, female; M, male; N/D, not done.

*

Apparent discrepancies between sample sizes shown here and those depicted in figures were caused by some sand flies having consumed meals from two or more different plants.

Assayed by PCR and Sanger DNA sequencing, which is less sensitive than NGS (SI Appendix, Fig. S1).

Following these preliminary studies, we developed and began using an NGS-based multidetection assay on wild-caught sand flies. We found that a very high proportion of the sand flies in several active leishmaniasis foci in different parts of the world fed on plants, frequently preferring exotic plants (in locations where such plants were available) over the endemic flora. We also discovered that sand flies often fed upon multiple plants of different species. Surprisingly, C. sativa rbcL was identified in a significant proportion of the flies trapped in four of five field sites (Fig. 1 and Table 1).

Although, on its own, rbcL does not identify most plants to the species level, C. sativa rbcL is highly specific. Pairwise alignment of C. sativa with other members of the family Cannabaceae showed that C. sativa rbcL sequences were always distinct from other members, including the closely related genus, Humulus. Furthermore, previous studies showed that rbcL sequence analyses could even distinguish between different C. sativa strains (21). To verify these findings, we constructed a network of sand fly-derived C. sativa rbcL haplotypes that confirmed them to be reliably species-specific (Fig. 3A). The haplotype network comprised rbcL sequences from C. sativa (137 nt) consumed by sand flies collected in different countries. Most (21) sequences from all locations were identical and fell within the central circle, which also included a C. sativa reference sequence from the GenBank (NC_027223). Unique haplotypes were found in some of the locations, but the number of point mutations separating these from the main haplotype was significantly smaller than the closest outgroup (Humulus) (Fig. 3A). Based on these findings, we employed rbcL PCR and NGS for all of the subsequent analyses.

Fig. 3.

Fig. 3.

NGS-based plant meal analyses. (A) Haplotype network of C. sativa rbcL sequences (137 nt) from sand flies collected in different countries. The large circle in the center represents a cluster of 21 identical sequences found in sand flies from five collection sites as well as a C. sativa reference sequence from the GenBank (NC_027223). The smaller colored circles represent unique haplotypes found only in one collection site. The small white circles represent inferred median haplotypes, and the dashes depicted perpendicularly on the connecting edges indicate single-nucleotide polymorphisms (SNPs)/point mutations. Note that the number of SNPs separating the closest outgroup (Humulus) is much higher than any of the C. sativa haplotypes. (B) In Tubas, 56 plant meals (bottom half of the circle) were consumed by 24 Ph. sergenti females (top of the circle). Sixteen flies had fed on C. sativa. Nineteen females (gray shading) were infected with L. tropica. There was no significant difference in C. sativa feeding between Leishmania-infected and noninfected sand flies (χ2 = 2.25, df = 1, P = 0.1336).

The highest proportion of C. sativa-fed sand flies (70%) was found near Tubas in the Palestinian Authority (χ2 = 17.673, df = 6, P = 0.007104; Figs. 2 and 3B and Table 1), and more sand flies from Tubas consumed C. sativa than any other (single) plant (χ2 = 17.136, df = 3, P = 0.0006625). Importantly, the sand flies tested were not a random group; they were all blood-fed females selected for identifying the source of blood in their guts. This bias may also partially explain the extremely high (61%) Leishmania tropica infection rate detected in these Phlebotomus sergenti females (Fig. 3B and Table 1).

Kfar Adumim is located about 100 km south of Tubas in the arid Judean Desert. Here, we collected sand flies near private homes with lush gardens. C. sativa was a significant plant food source for both male and female Ph. sergenti (Table 1; 35% for females, 29% for males), while other domestic plants comprised the bulk of the remaining meals (Fig. 4A). We collected the sand flies during late summer when the seasonal wild vegetation had mostly dried up (photograph in Fig. 1). Therefore, it is conceivable that plants growing in irrigated gardens comprise important sugar sources for sand flies in desert areas. Several authors have postulated that irrigated gardens can promote sand fly breeding by increasing the humidity in the soil where phlebotomine larvae develop (23). Our findings suggest that, in deserts, the availability of sugar sources near human residences surrounded by irrigated gardens may also be important for supporting dense sand fly populations.

Fig. 4.

Fig. 4.

Sand fly plant meal analyses based on rbcL PCR and NGS. (A) In Kfar Adumim, 62 female (pink shading) and 45 male (gray shading) Ph. sergenti had fed on plants. Of these, 22 females and 13 males had fed on C. sativa. Feeding percentages of males and females were not significantly different (χ2 = 2.2857, df = 1, P = 0.1306). (B) In Bura, Kazakhstan, an analysis of 102 female sand flies that had fed on plants was performed. Thirty-five had fed on C. sativa. Twenty-two sand flies were infected with L. major and/or Leishmania turanica. There was no significant difference in C. sativa feeding rates between infected and noninfected sand flies (χ2 = 2.1304, df = 1, P = 0.1444). We also detected DNA from coniferous plants in some of the sand flies. However, since there were no conifers growing close to the field site, we attribute this finding to wind-blown pollen grains adhering to the sand flies externally. The pollen of gymnosperms contains chloroplasts, making them detectable by rbcL PCR/NGS (22).

In addition to rbcL, plant meals of sand flies from Kfar Adumim were analyzed with maturase K (matK) and ATP synthase (ATPS). Results confirmed that rbcL was much more sensitive than matK and more specific than ATPS (SI Appendix, Fig. S2). These findings reassured us of the dependability of rbcL for identifying C. sativa even without using additional markers.

In our analyses, we also examined the number of NGS rbcL reads for different plants. Results were highly variable, with many flies feeding on several plants (SI Appendix, Fig. S3A). Quantitation based on the number of reads was not used to compare sand fly plant meals from different locations because this parameter was found to be largely uninformative due to its dependence on the time since the consumption of plant meals (i.e., DNA degradation), as well as the efficiency of sand fly DNA preservation and extraction.

Sde Eliyahu is a collective agricultural settlement (kibbutz) in the Jordan Valley, surrounded by cultivated vegetable gardens, plantations, and orchards. Several plant families representing mostly cultivated species were identified as plant meal sources of phlebotomine sand flies. However, C. sativa DNA was not detected in any of the sand flies collected in Sde Eliyahu (SI Appendix, Fig. S3B). Notably, Sde Eliyahu is an active focus of zoonotic cutaneous leishmaniasis (CL) caused by Leishmania major and transmitted by Phlebotomus papatasi (24). We assume that the absence of Cannabis meals was attributable to the nonexistence of these plants in the region. However, since Sde Eliyahu was the only field site where Ph. papatasi predominated, we cannot be certain that it was not due to an innate aversion of Ph. papatasi to Cannabis.

The Bura field site in Kazakhstan is a zoonotic focus of CL caused by L. major and transmitted by Phlebotomus mongolensis. Ecologically, the site is a northern subzone desert where mostly seasonal plants were growing. We noted wild C. sativa growing in ditches along the dirt tracks crisscrossing the site. Interestingly, sand flies avoided many of the common plants (e.g., Haloxylon), but Cannabis comprised a frequent source of plant meals (Fig. 4B). The C. sativa rbcL sequences from sand flies captured in Kazakhstan were the most polymorphic, with six unique haplotypes representing C. sativa strains (Fig. 3A).

The municipality of Camaçari, Bahia state, Brazil, covers ∼785 km2; some areas are urbanized and others are industrial parks, while the rest remain essentially rural. We collected Lutzomyia longipalpis, the local vector of VL for studies pertaining to this disease’s transmission. Areas we refer to as urban comprised mostly single-family homes with small yards and gardens (photograph in Fig. 1). The rural areas were sparsely populated, but we collected sand flies relatively close to houses. NGS identified C. sativa rbcL DNA as well as several other salient plant families upon which sand flies had fed (Fig. 5). Findings largely concurred with previous studies, demonstrating a preference of Lu. longipalpis for cultivated gardens over the endemic vegetation (9, 14). Interestingly, circumstantial evidence has led to the hypothesis that exotic plants in urban areas may have played a role in the urbanization of VL in Brazil during the past two to three decades (25).

Fig. 5.

Fig. 5.

NGS-based sand fly plant meal analyses based on rbcL from Camaçari, Brazil. Sand flies were collected in urban and rural habitats. In the urban area, 48 females had fed on plants, including 18 that consumed C. sativa. In the rural habitats, 19 females had fed on plants, including 10 on C. sativa. There was no difference in C. sativa feeding rates between Leishmania-infected and uninfected sand flies (χ2 = 2.3143, df = 1, P = 0.1282).

The attraction of sand flies to specific plants was documented in several field studies (9, 14, 26). Since our findings resulted from surveys rather than experiments, we could not assess the relative attraction of sand flies to common plants. Presumably, because cultivation of C. sativa is illegal in the countries where we worked, we did not see Cannabis plants in any of the sampling sites except for Kazakhstan, where C. sativa shrubs grew endemically. Therefore, we conclude that Cannabis comprised but a small fraction of the available sugar sources in any particular habitat and that its ample representation among sand fly plant meals signifies bona fide attraction.

We can only speculate on the putative benefits, other than carbohydrate fuel, gained by sand flies feeding on C. sativa. Although cannabinoids can be toxic to some insects (27), a CB1/CB2 cannabinoid receptor agonist protected Drosophila melanogaster fruit flies from paraquat toxicity (28). Certain insect species feed upon the highly nutritious C. sativa pollen (29), but sand flies possess sucking mouthparts suitable for imbibing liquids only (30) and do not ingest solid food. C. sativa synthesizes phytocannabinoids [e.g., tetrahydrocannabinol (THC), cannabidiol] that exert a mostly beneficial influence on humans and most classes of animals by activating G protein-coupled endocannabinoid receptors (31). However, insects apparently lack cannabinoid receptors, as evidenced by the failure of THC to activate G proteins in insect tissues and the absence of cannabinoid receptor orthologs in the D. melanogaster genome (32).

Phytocannabinoids from C. sativa exhibited antimicrobial activity against some bacteria and fungi (33). Since thriving gut microbiomes are crucial for the development of Leishmania infections in the sand fly gut (34, 35), a microbicidal effect could harm Leishmania infections. Lastly, partially characterized compounds from C. sativa exhibited potent antileishmanial activity in vitro (36).

Pollinator insects, including mosquitoes, are attracted to plants that emit volatile molecules such as terpenes (3739). Sixty-eight volatile compounds were detected and partially characterized in pollen and vegetative parts of C. sativa by GC-MS (40).

A novel approach for controlling blood-sucking mosquitoes and sand flies exploits their plant feeding habit by utilizing attractive toxic sugar baits (ATSBs) that emit olfactory cues to attract sand flies and mosquitoes (41, 42). Adding C. sativa plant extracts could augment the efficacy of ATSBs for controlling sugar-questing disease vectors.

Finally, we do not know which compound(s) emitted by C. sativa attract(s) sand flies and can only speculate on the possible effects of C. sativa molecules on their vectorial capacity for Leishmania. Nevertheless, our results reliably demonstrate that this specific insect–plant association is shared by several sand fly species in diverse geographical areas (Figs. 1 and 3A and SI Appendix, Fig. S4), and suggest that it may well affect the behavior of sand flies and, thereby, the transmission of leishmaniasis.

Materials and Methods

Sand Fly Collection and Identification.

In the context of several independent research projects, we collected phlebotomine sand flies in several endemic foci of leishmaniasis in different parts of the world. Among these, only in Kfar Adumim was sampling of sand flies was instigated specifically for plant meal detection. Further details on sand fly species, field sites, and laboratory processing are provided in SI Appendix, S Materials and Methods.

PCR.

Plant meals of Ph. orientalis sand flies captured in Ethiopia were analyzed by PCR. Further details on PCR procedures are provided in SI Appendix, S Materials and Methods.

NGS-Based Assays.

NGS multidetection assays included genetic markers for (i) plant meal identification of chloroplast rbcL (31) and (ii) the Leishmania species Leishmania ITS1 (43). Two additional markers (matK and ATPase) were used for identifying plant meals in sand flies captured near Kfar Adumim (44) (SI Appendix, Fig. S2). DNA amplicon libraries were generated using NGS PCR-specific primers (SI Appendix, Table S2). Libraries included plant rbcL and Leishmania ITS1 PCR-amplified DNA segments. The PCR products were purified using magnetic bead kits (AMPure XP Beads Kit; Beckman Coulter), and all amplicons from each sand fly were pooled into one tube. A second PCR assay was performed for barcoding all amplicons from individual sand flies using the Nextera XT Index Kit (Illumina). Individual sand fly libraries were quantified using Qubit (Life Technologies), and their integrity was evaluated using the Agilent 2200 TapeStation (Agilent Technologies). Following this step, equal amounts of DNA from each of the samples were pooled and the mixture was sequenced by the MiSeq System (Illumina) using a 500-cycle MiSeq Reagent Kit (version 2; Illumina) with paired 250-bp reads in accordance with the manufacturer’s instructions (45).

C. Sativa rbcL Haplotypes.

The size of the amplified rbcL fragments that were sequenced by Illumina NGS was 374 bp (GenBank accession numbers MH733441–MH733473), aligning with nucleotide positions 55,451–55,824 on the complete chloroplast genome of the C. sativa (NC_027223) reference sequence. A region of 137 bp from all different C. sativa haplotypes that aligned with nucleotide positions 55,469–55,605 on the reference gene was used in multiple sequence alignments for constructing the C. sativa rbcL haplotype network (Fig. 3A). The haplotype analysis was limited to 137 bp by the reliable DNA sequence obtained for the Ethiopian sand flies’ rbcL by PCR and Sanger sequencing. The derived sequence (250 bp) aligned at nucleotide positions 55,360– 55,609 on the reference gene. The detailed haplotype multiple alignment parameters are detailed below.

Statistical Methods.

Identification of plant meals based on rbcL sequences.

The identification of plant meals comprised two processing steps. First, the raw sequencing data were filtered to remove short reads, Illumina adapters, and reads with less than a 90% base quality score (Q20) using Trimmomatic (46). Reads that did not match the barcode accurately were discarded. After the quality check, the identification of sand fly plant feeding sources was performed by comparing the sequences of the rbcL gene reads with the nonredundant database from the National Center for Biotechnology Information, downloaded December 2017 (available at ftp://ftp.ncbi.nlm.nih.gov/blast/db/), using a nucleotide BLAST program (47) and the filtered databases with taxonomy identification codes from Embryophyta (taxonomy ID: 3193). Nonmatching rbcL reads were discarded. The assignment of taxonomic information was performed as follows. The genus level was reached when only one hit passed the strict thresholds of 99% query coverage, 97% similarity, and an E-value of ≤10−2, which was the case for all Cannabis classifications. On the other hand, if two or more hits passed the above thresholds, the taxonomic information was attributed to the family that had more local species. In summary, BLAST “hits” were used to assign reads to plant species, genera, or families, and statistical significance was measured by the E-value. Reads that did not fulfill these conditions were considered potential chimeric sequences and discarded. Finally, the plant meal(s) of each sand fly were determined by calculating the proportion of reads matching each plant species, genus, or family.

Circular graphs (circos) (Figs. 35).

Circular plots (Figs. 3B, 4, and 5) were created using the plant source-specific, generic, or familial rbcL frequencies in the various groups (e.g., location, sand fly sex, Leishmania infection status) with the chord diagram function of the circlize package in R 3.4.3. The inner-superior semicircles represent the cumulative number of sand flies that had fed on a specific plant (family/genus/species). The outer-superior semicircles represent the numbers of sand flies from each group, and the origin is represented by colored links that match the group of origin [inferior semicircles (labeled)]. Categories of sand flies within study sites (e.g., males vs. females in Kfar Adumim; Leishmania-infected vs. uninfected in Tubas, Brazil, and Kazakhstan) were compared using t tests. Comparisons between C. sativa feeding rates in Tubas and other field sites were performed using χ2 tests.

Haplotype network based on C. sativa rbcL (Fig. 3A).

Multiple alignment of the C. sativa rbcL sequences was performed with the Multiple Sequence Comparison by Log-Expectation (MUSCLE) program using the iterative algorithm with default settings (48). Alignments were double checked and, where necessary, edited using BioEdit 5.0.9 software (49). The haplotype network analysis was performed using the median joining network method with the Population Analysis with Reticulate Trees (PopART) software package (50).

Supplementary Material

Supplementary File
pnas.1810435115.sapp.pdf (594.3KB, pdf)

Acknowledgments

We thank Peter Volf of Charles University, Prague, Czech Republic, for the laboratory-reared sand flies and R. Faiman of NIH/National Institute of Allergy and Infectious Diseases for the field-caught sand flies from Sde Eliyahu. Studies performed in Ethiopia were supported by the Bill and Melinda Gates Foundation’s Global Health Program (Grant OPPGH5336). Studies in Brazil were supported by the “Science Without Borders” program, funded by Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) Brazil and the Fundação de Amparo à Pesquisa do Estado da Bahia (Process JCB0004/2013). Studies performed in Israel were supported by the Israeli Ministry for the Environment (Grant 131-5-5). Studies performed in the Palestinian Authority were supported by the US Agency for International Development Middle East Regional Cooperation Program (Grant M33-07). Studies performed in Kazakhstan were supported by the US Department of Defense, Deployed Warfighter Protection research program (Award W911QY-15-1-0001). T.F.M. was awarded a travel grant to The Hebrew University by The Kuvin Foundation’s Health & Science program.

Footnotes

The authors declare no conflict of interest.

This article is a PNAS Direct Submission.

Data deposition: The sequences reported in this paper have been deposited in the GenBank database (accession nos. MH733441MH733473).

This article contains supporting information online at www.pnas.org/lookup/suppl/doi:10.1073/pnas.1810435115/-/DCSupplemental.

References

  • 1.Killick-Kendrick R. The biology and control of phlebotomine sand flies. Clin Dermatol. 1999;17:279–289. doi: 10.1016/s0738-081x(99)00046-2. [DOI] [PubMed] [Google Scholar]
  • 2.Ready PD. Biology of phlebotomine sand flies as vectors of disease agents. Annu Rev Entomol. 2013;58:227–250. doi: 10.1146/annurev-ento-120811-153557. [DOI] [PubMed] [Google Scholar]
  • 3.Alvar J, et al. WHO Leishmaniasis Control Team Leishmaniasis worldwide and global estimates of its incidence. PLoS One. 2012;7:e35671. doi: 10.1371/journal.pone.0035671. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Melo HA, Rossoni DF, Teodoro U. Effect of vegetation on cutaneous leishmaniasis in Paraná, Brazil. Mem Inst Oswaldo Cruz. 2018;113:e170505. doi: 10.1590/0074-02760170505. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Schlein Y, Jacobson RL. Mortality of Leishmania major in Phlebotomus papatasi caused by plant feeding of the sand flies. Am J Trop Med Hyg. 1994;50:20–27. [PubMed] [Google Scholar]
  • 6.Schlein Y, Jacobson RL, Müller GC. Sand fly feeding on noxious plants: A potential method for the control of leishmaniasis. Am J Trop Med Hyg. 2001;65:300–303. doi: 10.4269/ajtmh.2001.65.300. [DOI] [PubMed] [Google Scholar]
  • 7.Moore JS, et al. Honeydew sugars in wild-caught Phlebotomus ariasi detected by high performance liquid chromatography (HPLC) and gas chromatography (GC) Med Vet Entomol. 1987;1:427–434. doi: 10.1111/j.1365-2915.1987.tb00373.x. [DOI] [PubMed] [Google Scholar]
  • 8.Wallbanks KR, et al. Aphid derived sugars in the neotropical sandfly–Lutzomyia peruensis. Trop Med Parasitol. 1991;42:60–62. [PubMed] [Google Scholar]
  • 9.Cameron MM, Pessoa FA, Vasconcelos AW, Ward RD. Sugar meal sources for the phlebotomine sandfly Lutzomyia longipalpis in Ceará State, Brazil. Med Vet Entomol. 1995;9:263–272. doi: 10.1111/j.1365-2915.1995.tb00132.x. [DOI] [PubMed] [Google Scholar]
  • 10.Schlein Y, Muller G. Assessment of plant tissue feeding by sand flies (Diptera: Psychodidae) and mosquitoes (Diptera: Culicidae) J Med Entomol. 1995;32:882–887. doi: 10.1093/jmedent/32.6.882. [DOI] [PubMed] [Google Scholar]
  • 11.Douglas AE. Phloem-sap feeding by animals: Problems and solutions. J Exp Bot. 2006;57:747–754. doi: 10.1093/jxb/erj067. [DOI] [PubMed] [Google Scholar]
  • 12.Cooper WR, Horton DR, Unruh TR, Garczynski SF. Gut content analysis of a phloem-feeding insect, bactericera cockerelli (Hemiptera: Triozidae) Environ Entomol. 2016;45:938–944. doi: 10.1093/ee/nvw060. [DOI] [PubMed] [Google Scholar]
  • 13.Junnila A, Müller GC, Schlein Y. Identification of plant tissues from the gut of Phlebotomus papatasi by DNA analysis. Acta Trop. 2011;117:14–18. doi: 10.1016/j.actatropica.2010.08.019. [DOI] [PubMed] [Google Scholar]
  • 14.Lima LH, et al. DNA barcode for the identification of the sand fly Lutzomyia longipalpis plant feeding preferences in a tropical urban environment. Sci Rep. 2016;6:29742. doi: 10.1038/srep29742. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Vijayan K, Tsou C. DNA barcoding in plants: Taxonomy in a new perspective. Curr Sci. 2010;99:1530–1541. [Google Scholar]
  • 16.Metzker ML. Sequencing technologies–The next generation. Nat Rev Genet. 2010;11:31–46. doi: 10.1038/nrg2626. [DOI] [PubMed] [Google Scholar]
  • 17.Shokralla S, et al. Next-generation DNA barcoding: Using next-generation sequencing to enhance and accelerate DNA barcode capture from single specimens. Mol Ecol Resour. 2014;14:892–901. doi: 10.1111/1755-0998.12236. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Shokralla S, Spall JL, Gibson JF, Hajibabaei M. Next-generation sequencing technologies for environmental DNA research. Mol Ecol. 2012;21:1794–1805. doi: 10.1111/j.1365-294X.2012.05538.x. [DOI] [PubMed] [Google Scholar]
  • 19.Wilkinson MJ, et al. Replacing sanger with next generation sequencing to improve coverage and quality of reference DNA barcodes for plants. Sci Rep. 2017;7:46040. doi: 10.1038/srep46040. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Kirstein OD, et al. A fine scale eco-epidemiological study on endemic visceral leishmaniasis in north ethiopian villages. Acta Trop. 2018;183:64–77. doi: 10.1016/j.actatropica.2018.04.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Mello IC, et al. A segment of rbcL gene as a potential tool for forensic discrimination of Cannabis sativa seized at Rio de Janeiro, Brazil. Int J Legal Med. 2016;130:353–356. doi: 10.1007/s00414-015-1170-x. [DOI] [PubMed] [Google Scholar]
  • 22.Neale DB, Sederoff RR. Paternal inheritance of chloroplast DNA and maternal inheritance of mitochondrial DNA in loblolly pine. Theor Appl Genet. 1989;77:212–216. doi: 10.1007/BF00266189. [DOI] [PubMed] [Google Scholar]
  • 23.Orshan L, Szekely D, Khalfa Z, Bitton S. Distribution and seasonality of Phlebotomus sand flies in cutaneous leishmaniasis foci, Judean Desert, Israel. J Med Entomol. 2010;47:319–328. doi: 10.1603/me09096. [DOI] [PubMed] [Google Scholar]
  • 24.Faiman R, et al. A newly emerged cutaneous leishmaniasis focus in northern Israel and two new reservoir hosts of Leishmania major. PLoS Negl Trop Dis. 2013;7:e2058. doi: 10.1371/journal.pntd.0002058. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Costa CH. Characterization and speculations on the urbanization of visceral leishmaniasis in Brazil. Cad Saude Publica. 2008;24:2959–2963. doi: 10.1590/s0102-311x2008001200027. [DOI] [PubMed] [Google Scholar]
  • 26.Müller GC, Revay EE, Schlein Y. Relative attraction of the sand fly Phlebotomus papatasi to local flowering plants in the Dead Sea region. J Vector Ecol. 2011;36:S187–S194. doi: 10.1111/j.1948-7134.2011.00130.x. [DOI] [PubMed] [Google Scholar]
  • 27.Rothschild M, Rowan MG, Fairbairn JW. Storage of cannabinoids by Arctia caja and Zonocerus elegans fed on chemically distinct strains of Cannabis sativa. Nature. 1977;266:650–651. doi: 10.1038/266650a0. [DOI] [PubMed] [Google Scholar]
  • 28.Jimenez-Del-Rio M, Daza-Restrepo A, Velez-Pardo C. The cannabinoid CP55,940 prolongs survival and improves locomotor activity in Drosophila melanogaster against paraquat: Implications in Parkinson’s disease. Neurosci Res. 2008;61:404–411. doi: 10.1016/j.neures.2008.04.011. [DOI] [PubMed] [Google Scholar]
  • 29.Small E. Evolution and classification of Cannabis sativa (marijuana, hemp) in relation to human utilization. Bot Rev. 2015;81:189–294. [Google Scholar]
  • 30.Adler S, Theodor O. The mouth parts, alimentary tract, and salivary apparatus of the female in Phlebotomus papatasii. Ann Trop Med Parasitol. 1926;20:109–142. [Google Scholar]
  • 31.Di Marzo V, Piscitelli F. The endocannabinoid system and its modulation by phytocannabinoids. Neurotherapeutics. 2015;12:692–698. doi: 10.1007/s13311-015-0374-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.McPartland JM, Agraval J, Gleeson D, Heasman K, Glass M. Cannabinoid receptors in invertebrates. J Evol Biol. 2006;19:366–373. doi: 10.1111/j.1420-9101.2005.01028.x. [DOI] [PubMed] [Google Scholar]
  • 33.Appendino G, et al. Antibacterial cannabinoids from Cannabis sativa: A structure-activity study. J Nat Prod. 2008;71:1427–1430. doi: 10.1021/np8002673. [DOI] [PubMed] [Google Scholar]
  • 34.Kelly PH, et al. The gut microbiome of the vector Lutzomyia longipalpis is essential for survival of Leishmania infantum. MBio. 2017;8:e01121-16. doi: 10.1128/mBio.01121-16. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Louradour I, et al. The midgut microbiota plays an essential role in sand fly vector competence for Leishmania major. Cell Microbiol. 2017;19:e12755. doi: 10.1111/cmi.12755. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Radwan MM, et al. Biologically active cannabinoids from high-potency Cannabis sativa. J Nat Prod. 2009;72:906–911. doi: 10.1021/np900067k. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Pichersky E, Gershenzon J. The formation and function of plant volatiles: Perfumes for pollinator attraction and defense. Curr Opin Plant Biol. 2002;5:237–243. doi: 10.1016/s1369-5266(02)00251-0. [DOI] [PubMed] [Google Scholar]
  • 38.Foster WA. Mosquito sugar feeding and reproductive energetics. Annu Rev Entomol. 1995;40:443–474. doi: 10.1146/annurev.en.40.010195.002303. [DOI] [PubMed] [Google Scholar]
  • 39.Nyasembe VO, Tchouassi DP, Pirk CWW, Sole CL, Torto B. Host plant forensics and olfactory-based detection in Afro-tropical mosquito disease vectors. PLoS Negl Trop Dis. 2018;12:e0006185. doi: 10.1371/journal.pntd.0006185. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Rothschild M, Bergström G, Wängberg S-Å. Cannabis sativa: Volatile compounds from pollen and entire male and female plants of two variants, Northern Lights and Hawaian Indica. Bot J Linn Soc. 2005;147:387–397. [Google Scholar]
  • 41.Beier JC, Müller GC, Gu W, Arheart KL, Schlein Y. Attractive toxic sugar bait (ATSB) methods decimate populations of Anopheles malaria vectors in arid environments regardless of the local availability of favoured sugar-source blossoms. Malar J. 2012;11:31. doi: 10.1186/1475-2875-11-31. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Schlein Y, Müller GC. Experimental control of Phlebotomus papatasi by spraying attractive toxic sugar bait (ATSB) on vegetation. Trans R Soc Trop Med Hyg. 2010;104:766–771. doi: 10.1016/j.trstmh.2010.08.014. [DOI] [PubMed] [Google Scholar]
  • 43.el Tai NO, Osman OF, el Fari M, Presber W, Schönian G. Genetic heterogeneity of ribosomal internal transcribed spacer in clinical samples of Leishmania donovani spotted on filter paper as revealed by single-strand conformation polymorphisms and sequencing. Trans R Soc Trop Med Hyg. 2000;94:575–579. doi: 10.1016/s0035-9203(00)90093-2. [DOI] [PubMed] [Google Scholar]
  • 44.CBOL Plant Working Group A DNA barcode for land plants. Proc Natl Acad Sci USA. 2009;106:12794–12797. doi: 10.1073/pnas.0905845106. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.Illumina 2016 16S Metagenomic Sequencing Library Preparation: Preparing 16S Ribosomal RNA Gene Amplicons for the Illumina MiSeq System. Available at https://web.uri.edu/gsc/files/16s-metagenomic-library-prep-guide-15044223-b.pdf. Accessed May 1, 2016.
  • 46.Bolger AM, Lohse M, Usadel B. Trimmomatic: A flexible trimmer for Illumina sequence data. Bioinformatics. 2014;30:2114–2120. doi: 10.1093/bioinformatics/btu170. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Altschul SF, Gish W, Miller W, Myers EW, Lipman DJ. Basic local alignment search tool. J Mol Biol. 1990;215:403–410. doi: 10.1016/S0022-2836(05)80360-2. [DOI] [PubMed] [Google Scholar]
  • 48.Edgar RC. MUSCLE: Multiple sequence alignment with high accuracy and high throughput. Nucleic Acids Res. 2004;32:1792–1797. doi: 10.1093/nar/gkh340. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49.Hall T. BioEdit: A user-friendly biological sequence alignment editor and analysis program for windows 95/98/NT. Nucleic Acids Symp Ser. 1999;41:95–98. [Google Scholar]
  • 50.Leigh JW, Bryant D. PopART: Full-feature software for haplotype network construction. Methods Ecol Evol. 2015;6:1110–1116. [Google Scholar]

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