Abstract
Background
In Peru, the information regarding sand fly vectors of leishmaniasis and bartonellosis in the Amazon region is limited. In this study, we carried out sand fly collections in Peruvian lowland and highland jungle areas using different trap type configurations and screened them for Leishmania and Bartonella DNA.
Methodology/Principal findings
Phlebotomine sand flies were collected in Peruvian Amazon jungle and inter Andean regions using CDC light trap, UV and color LED traps, Mosquito Magnet trap, BG Sentinel trap, and a Shannon trap placed outside the houses. Leishmania spp. screening was performed by kDNA PCR and confirmed by a nested cytochrome B gene (cytB) PCR. Bartonella spp. screening was performed by ITS PCR and confirmed by citrate synthase gene (gltA). The PCR amplicons were sequenced to identify Leishmania and Bartonella species.
UV and Blue LED traps collected the highest average number of sand flies per hour in low jungle; UV, Mosquito Magnet and Shannon traps in high jungle; and Mosquito Magnet in inter Andean region. Leishmania guyanensis in Lutzomyia carrerai carrerai and L. naiffi in Lu. hirsuta hirsuta were identified based on cytB sequencing. Bartonella spp. related to Bartonella bacilliformis in Lu. whitmani, Lu. nevesi, Lu. hirsuta hirsuta and Lu. sherlocki, and a Bartonella sp. related to Candidatus B. rondoniensis in Lu. nevesi and Lu. maranonensis were identified based on gltA gene sequencing.
Conclusions/Significance
UV, Blue LED, Mosquito Magnet and Shannon traps were more efficient than the BG-Sentinel, Green, and Red LED traps. This is the first report of L. naiffi and of two genotypes of Bartonella spp. related to B. bacilliformis and Candidatus B. rondoniensis infecting sand fly species from the Amazon region in Peru.
Author summary
Leishmaniasis and human bartonellosis, two neglected tropical diseases, are endemic in Peruvian Andean regions. However, no human bartonellosis cases has been reported in the Amazon jungle where leishmaniasis has high prevalence. The improvement of sand fly trapping methods and identification of putative Leishmania and Bartonella vectors across Andean and Amazonian regions are important steps towards the design of better control strategies and reducing the risk of transmission in endemic areas. In this paper the authors explored the effectiveness of different trap types, based in LED colors and odor attractants, for sand fly collections in endemic areas of leishmaniasis and bartonellosis. Also, we reported for the first time the detection of Bartonella DNA in sand fly species from the Peruvian Amazon jungle, and the first record in Peru of L. (V.) naiffi infecting Lu. hirsuta hirsuta. The information provided by this manuscript will serve as a baseline for future surveillance and intervention studies about sand fly species as potential vectors of Leishmania and Bartonella in highly endemic areas.
Introduction
Phlebotomine sand flies are small insects of crepuscular and nocturnal activity with weak flight capabilities, distributed in tropical and sub-tropical regions around the world. Female sand flies must feed on blood to complete oogenesis and lay eggs, and obtain blood meals from a large variety of vertebrates, including humans [1]. Due to this broad host range, some phlebotomine species may transmit pathogens to a vertebrate host, such as parasites of the genus Leishmania, bacteria of the genus Bartonella, and some arboviruses [2,3]. Phlebotomine sand flies have an important role in the epidemiology of these diseases; monitoring and control of sand flies are, therefore, of high priority [4].
The leishmaniases are a group of neglected tropical diseases endemic in 98 countries worldwide with 0.9 to 1.6 million new cases per year, between 20,000 and 30,000 deaths, and 350 million people at risk of infection [5]. In Peru, more than 4,000 new cases of cutaneous and mucocutaneous leishmaniasis are reported yearly; no visceral leishmaniasis cases have been reported to date [6]. Human bartonellosis, also called Carrion’s disease or Oroya fever, is caused by Bartonella bacilliformis and is a severe, debilitating illness with a mortality rate of over 80% in untreated individuals [7]. The initial infection is characterized by fever and severe anemia; the secondary infections in this phase are associated with transitory immune system depression. After a variable time of acute infection, the presence of vascularized skin warts (“verruga peruana”, which is considered the chronic presentation of Carrion’s disease) is frequent [8]. This neglected disease is limited to Peru, Ecuador, and Colombia, with higher prevalence in Peru where new endemic areas have been recently reported [7,9]; no cases have been reported during the last two decades in the latter two countries. Other Bartonella species can cause long-lasting intra-erythrocytic infections in their mammalian reservoirs and are transmitted by other arthropod species [10–12]. In Peru, leishmaniasis and human bartonellosis are endemic in native communities located in the Andean region, between 1,000 and 3,200 m altitude [13,14] where Lu. verrucarum and Lu. peruensis (Diptera: Psychodidae: Phlebotominae) are considered the main vectors of both diseases [15,16]. In contrast, reports of human bartonellosis cases in the Peruvian Amazon jungle, where leishmaniasis has the highest prevalence, are limited to some high jungle valleys in the northeastern and central regions [17,18]. However, there is limited or no information regarding sand fly vectors of human bartonellosis in the Peruvian Amazon region [19].
In order to perform efficient surveillance of pathogens carried by phlebotomine sand flies, we need to understand which trapping methods are most successful for catching sand flies. Phlebotomine sand flies are generally attracted by artificial lights of different intensity and color, CO2, and other chemical attractants recommended for use in hematophagous insect and vector surveillance [3,20,21]. CDC light traps with incandescent lights are the most widely used [2], while the Shannon trap with protected human bait is the most effective method for capture of anthropophilic sand fly species [22–24]. In Peru, CDC light traps, Shannon traps, and resting site collection have been used for decades in sand fly vector surveillance in Andean regions, and high and low jungle areas [13,15,22,25,26]. Although the Shannon trap and protected human bait are the most effective methods for anthropophilic sand fly collection and are used to obtain information on man-biting behavior, their use is limited due to the increased risk for pathogen infection, including leishmaniasis, to human bait [27,28]. Also, the climatic or human factors (rain, wind, environmental modification) can influence the effectiveness of these trapping methods in different study sites [29], which demonstrates the importance of using a variety of trap types in studies of sand fly fauna. Additionally, the rapid spread of vector-borne diseases transmitted by sand flies to new endemic foci raises the need to implement more effective sand fly collection methods [7,21,30]. In addition to classic methods for sand fly collection, other trap types based on light emission or baited with chemical attractants, including Mini CDC LED traps, UV traps, BG-Sentinel and Mosquito Magnet, have been used in endemic areas of leishmaniasis. Interestingly, trap performance varied considerably across geographic regions [4,31–35], which could be linked to distinct sand fly behaviors and ecological niches as well as environmental factors. Thus, it is important to identify effective sand fly trapping methods in highly diverse endemic regions [36] such as the Peruvian Amazon.
Currently, more than 190 sand fly species have been identified in Peru, 80% of them in the Amazon region [16]. However, there are few studies where, in addition to characterizing sand fly species diversity, detection of Leishmania has been done, particularly in high and low rainforest areas where approximately 17 Lutzomyia species were found infected with L. (V.) braziliensis, L. (V.) lainsoni, L. (V.) guyanensis and L. (Viannia) spp. [16,37]. The detection of Bartonella DNA in sand flies has had limited success, with most studies conducted in inter-Andean regions where Carrion’s disease is endemic, principally in Cuzco and Ancash departments where two species, Lu. peruensis and Lu. verrucarum, were found infected with B. bacilliformis [38–40]. Epidemiological data suggested that Lu. robusta and Lu. maranonensis are potential vectors of Carrion’s disease in high jungle areas in the northeastern region [19]. Additionally, Lu. maranonensis was reported recently as a new potential vector of B. bacilliformis in Cutervo, Cajamarca, where this disease is endemic [41]. However, to date we do not have any reports about the transmission of Carrion’s disease in the Amazonian region, and if it may also co-circulate with Leishmania and be transmitted by leishmaniasis vectors.
In this study, we propose to evaluate for the first time in Peru different light and odor-baited trap types for catching phlebotomine sand flies, expecting to increase our understanding of the foraging behavior of sand fly species present in different ecological regions. The objective of this study was to evaluate different vector trapping methods for their efficacy in capturing sand flies and to identify potential sand fly vector species of two neglected diseases, leishmaniasis and bartonellosis, in different ecological sites in Peruvian lowland and highland jungle areas and inter-Andean regions. We hypothesized that there would be a significant variation in the response of sand flies to different trap types according to study site and sand fly fauna composition. Moreover, we screened female sand flies captured for both Leishmania and Bartonella DNA detection to identify potential vector species. Given the high sand fly diversity in selected study sites, we assumed that different Leishmania and Bartonella species are circulating in geographical regions where their presence has not been previously reported, especially in the Amazon region.
Materials and methods
Study design
In July 2014, and January and February 2015, multiple trap configurations were tested for their efficacy in collecting phlebotomine sand flies in four sites located in different ecological regions where leishmaniasis and/or human bartonellosis are endemic. We morphologically identified female and male sand flies, then tested non-engorged female sand flies (no visible blood meal in the sand fly gut) for molecular detection of Bartonella and Leishmania DNA. Phylogenetic analyses were performed on DNA sequences obtained.
Study sites
We carried out sand fly collections in Peruvian lowland and highland jungle areas, and one inter-Andean Valley (Fig 1). All collections were performed in peri- and extradomiciliary sites.
Flor de Acre, Madre de Dios. A lowland rainforest area located in Iberia district, province of Tahuamanu, Madre de Dios region (11°19’54.3”S, 69°36’20.6”W, 292 m.a.s.l.), near the Peru-Brazil-Bolivia triple border (southeastern Peru).
Tarapoto, San Martin. A highland jungle area located in the province of San Martin, San Martin region, northeastern Peru. Sand fly collection was conducted in three rural sites located approximately 5 kilometers from Tarapoto city, along the Shilcayo River: Bocatoma de Shilcayo water station (06° 27’39.3”S, 76° 21’01.8”W, 419 m.a.s.l.); Centro de Rescate Urku (06° 27’ 51.9”S, 76° 21’ 07.5”W, 415 m.a.s.l.), a protected natural area; and a small rural hostel Cordillera Escalera Lodge (06° 28’ 05.4”S, 76° 21’ 12.2”W, 403 m.a.s.l.).
San Jose de Lourdes, Cajamarca. This rural community is located in the Chinchipe Valley, highland jungle area, approximately 30 kilometers from the Peru-Ecuador border, in San José de Lourdes district, province of San Ignacio, Cajamarca region (05° 04’ 58.2" LS, 78° 55’ 10.2" LW, 1264 m.a.s.l.), northeastern Peru.
Caraz, Ancash. A rural community (Choquechaca) located in the district of Caraz, province of Huaylas, Ancash region, along the inter Andean Santa River valley (08° 59’12.0" LS, 77° 49’22.8" LW, 2159 m.a.s.l.).
Rainfall and high humidity are predominant in high and low jungle areas (Madre de Dios, San Martin and Cajamarca), the climate is tropical with an annual mean temperature over 26°C. The main activity of the population is agriculture and cattle breeding in Madre de Dios and San Martin, whereas in San Jose de Lourdes, Cajamarca, coffee, cacao and fruit crops are predominant. Caraz, Ancash, is a typical inter-Andean valley with dispersed housing in the rural area surrounded by crops (grasses, tubers, cereals) and livestock (sheep, cows, horses).
Sand fly collection
Trap locations within each village were selected based on the occurrence of human leishmaniasis and bartonellosis cases reported by the local Ministry of Health. A Latin square design was employed with traps being placed in the peridomicile and extradomicile (edge of the forest and inside the forest) environments and at least 50 meters apart to eliminate interference. No intradomiciliary sand fly collections were performed due some traps release CO2 or emit UV light. This study involved attracting sand flies using luminous traps and odor baited traps that run overnight (1800–0600 hours) (Fig 2) during two consecutive days in Madre de Dios, five days in San Martin, and four days in Cajamarca and Ancash, respectively.
Luminous traps
We used the Mini CDC light traps Model 512 (John W. Hocks Co., Gainesville, FL, USA) with a 6.3 W incandescent lamp (CDC, Atlanta, GA, USA); Blacklight UV traps (UV) Model 1212 (John W. Hocks Co.) with a 6.3 W black light (F4T5 BLB), and LED technology with Mini CDC light trap Model 512 modified locally to replace the incandescent lamp with blue, green, or red LED color bulbs [31,42]. All luminous traps were placed approximately one meter above ground level and operated overnight from 1800 to 0600 hours. The energy for light traps was provided by rechargeable 6 V gel batteries (Opalux, Lima-Peru).
Odor baited traps with chemical attractants
Two commercial traps were tested, BioGents Sentinel Trap (BG; BioGents, Regensburg, Germany) with BG Lure as the attractant; and Mosquito Magnet (MM; Woodstream Coroporation, Lancaster, PA, USA) Trap Model Independence MM3200B which is battery-operated and runs on R-Octenol and propane gas, which is catalytically converted to produce CO2, heat and water vapor, mimicking a vertebrate host and attracting biting insects [27,31,34]. These traps operated overnight from 1800 to 0600 hours.
Shannon trap with protected human bait
This trap was used as a complementary method for sand fly collection in some places and when the weather conditions allowed. Insects were collected with Shannon trap from 1800 to 2100 hours by one operator protected with a mosquito jacket acting as human bait and using a manual aspirator and head lantern to manually catch sand flies [22,24]. The Shannon trap collections did not use volunteers and were instead performed by experienced and highly trained NAMRU-6 entomology researchers. NAMRU-6 Occupational Health & Safety regulations for entomological specimen field collection were followed accordingly.
Sand fly taxonomic identification
Sand fly specimens collected were counted and sorted by location, collection method, sex and collection date, stored in 1.5 mL microcentrifuge tubes with 70% ethanol, and transported to the Entomology Department at NAMRU-6 in Bellavista, Callao region. Specimens were identified morphologically using taxonomic keys and procedures developed by Young and Duncan (1994) [1] and Galati (2003) [43] with small modifications. Female specimens were processed with a modified protocol where the head and last two abdominal segments were separated and clarified with lactophenol (phenol:lactic acid 2:3) for two hours for taxonomic identification, while the rest of the body from each female sand fly was pooled (1–10 specimens per tube) in microcentrifuge tubes with 70% ethanol according to species, date, site and collection method, and stored at -20°C [37,44]. Male specimens were clarified in 20% KOH for 12–24 hours followed by lactophenol for 2 hours. Voucher specimens were mounted permanently on Euparal.
Sand fly abundance and diversity analyses
Species abundance was calculated in Microsoft Excel 2013 using the Index of Species Abundance (ISA) [45] using the formula ISA = (a + Rj)/k, where we established a rank for species abundance per site; “a” is the number of zero observations for each species in all sites multiplied by “c” which is the single largest rank in all the data set plus 1. The Rj value corresponds to the sum of ranks for a given species in all the sites whereas “k” corresponds to the number of sites. The resulting ISA values were converted into the Standardized Index of Species Abundance (SISA) using the formula SISA = (c − ISA)/(c − 1). We quantified the number of sand flies captured per hour over each day of trapping and cumulatively over all trapping days. Normality of data was assessed by the Kolmogorov-Smirnov test in Minitab 17.1.0. Since the data did not meet the normality requirement, we used a non-parametric test for data analysis. A Kruskal-Wallis test was performed to assess whether sand fly capture rates per hour varied significantly between trap types for each site on separate days. Pairwise Wilcoxon signed-rank tests corrected for multiple comparisons using a Benjamini-Hochberg procedure were used to identify the trap type that accounted for significant differences [46]. The total sand fly species richness was quantified for each study site and trap type. Shannon-Wiener diversity indices of species evenness for each study site and trap type were calculated using the equation , where “p” represents the proportion of each species “n” that was collected (∑p = 1). The Hutcheson t-test was used to assess differences in Shannon diversity between trap types at each site [47]. All analyses were carried out in PAST v3.12 and R v4.0.2.
Molecular screening of Leishmania and Bartonella DNA in sand flies
DNA extraction
Pools of non-engorged phlebotomine sand flies were air-dried to remove ethanol and ground with pellet-pestles in lysis buffer. Genomic DNA was extracted according to the manufacturer’s protocol using the DNeasy Blood & Tissue kit (QIAGEN, Valencia, CA). The final DNA was eluted in 50 μL of elution buffer, and frozen at -30°C. All PCR conditions for Leishmania and Bartonella screening are provided in S1 Text.
Molecular detection of Leishmania DNA
The initial screening for Leishmania was performed by PCR that targets Leishmania minicircle kinetoplast DNA (kDNA; approx. 700bp) conserved among species, using primers L.MC-1S and L.MC-1R as previously described [48] with some modifications on reagents concentration (S1 Text). Positive samples for kDNA PCR were confirmed by nested PCR targeting cytochrome b (cytB) [49,50]. Details of primers used are shown in Table 1. L. (V.) braziliensis and L. (Leishmania) infantum DNA were used as positive PCR controls whereas PCR mix without DNA was used as a negative control.
Table 1. Primer sequences for Leishmania and Bartonella DNA amplification from sand flies.
Locus | Primers | Primer 5’-sequence-3’ | Size of PCR Product (bp) | PCR Protocol Reference | |
---|---|---|---|---|---|
Bartonella | |||||
16S–23S internal transcribed spacer | ITS | 325S | CTTCAGATGATGATCCCAAGCCTTTTGGCG | 400–600 | [51] |
1100AS | GAACCGACGACCCCCTGCTTGCAAAGCA | ||||
Citrate synthase gene | gltA | 443F | GCTATGTCTGCATTCTATCA | 767 | [11] |
1210R | GATCYTCAATCATTTCTTTCCA | ||||
BhCS.781p | GGGGACCAGCTCATGGTGG | 380–400 | [52] | ||
BhCS.1137n | AAATGCAAAAAGAACAGTAAACA | ||||
Filamenting temperature-sensitive mutant Z protein gene | ftsZ | BFP-1 | ATTAATTCTGCAYCGGCCAGA | 600 | [58] |
BFP-2 | ACVGADACACGAATAACACC | ||||
R83 | ATATCGCGGAATTGAAGCC | [59] | |||
L83 | CGCATAGAAGTATCATCCC | ||||
RNA polymerase β subunit gene | rpoB | 1350F | GGCAATCGTCGCGTTCGTTC | 852 | [56] |
2350R | CTACCCGATCACCAACATGC | ||||
1400F | CGCATTGGCTTACTTCGTATG | [57] | |||
2300R | GTAGACTGATTAGAACGCTG | ||||
Leishmania | |||||
kinetoplast DNA | L.MC | L.MC-1S | CTRGGGGTTGGTGTAAAATAG | 700 | [48] |
L.MC-1R | TWTGAACGGGRTTTCTG | ||||
cytochrome b gene | L.cyt-B | L.cyt-AS | GCGGAGAGRARGAAAAGGC | 1070–1080 | [49] |
L.cyt-ASR | CCACTCATAAATATACTATA | ||||
L.cyt-S | GGTGTAGGTTTTAGTYTAGG | 730–850 | [48] | ||
L.cyt-R | CTACAATAAACAAATCATAATATRCAATT |
Molecular detection of Bartonella DNA
A PCR protocol that amplifies a segment between 400-600bp of the 16S–23S internal transcribed spacer (ITS) region was used for screening sand flies for Bartonella DNA [51]. Confirmation of positive samples was performed using a nested PCR protocol for gltA, the citrate synthase gene [52–54]. Both markers have been validated on a broad diversity of Bartonella species but have different advantages that work well in combination. ITS is highly sensitive for detection of Bartonella DNA, but sequence alignment and phylogenetic analysis are complicated by the many insertions and deletions present. In contrast, gltA is less sensitive but is more amenable to alignment and phylogenetic analysis. Furthermore, gltA is the most commonly used marker for molecular detection of Bartonella species, creating a large database for comparison [55]. Additional molecular markers, rpoB, the β subunit of bacterial RNA polymerase gene [56,57], and ftsZ, the filamenting temperature-sensitive mutant Z protein gene [58,59] were used to confirm ITS PCR and gltA PCR results (S1 Text). Details of primers used are shown in the Table 1. Bartonella bacilliformis DNA from culture (SANDI strain from Caraz, Ancash, Peru) [39] was used as a positive control and the PCR mix without DNA as a negative control. Both controls were included in each PCR run to evaluate the presence of appropriately sized amplicons and contamination, respectively. Only samples with PCR products that resulted in a correct amplicon size and a clear band were considered as positive for further DNA sequencing and phylogenetic analysis.
Leishmania and Bartonella DNA sequencing
The positive Leishmania and Bartonella PCR products were analyzed by electrophoresis on 2% agarose gel stained with GelRed (Biotium, Fremont, CA, USA). The PCR amplicons were purified using the Wizard SV Gel and PCR Clean-Up System (Promega, Madison, WI, USA) and sequenced along both DNA strands using the BigDye Terminator v3.1 Cycle Sequencing Kit (Applied Biosystems, Foster City, CA, USA) according to the manufacturer’s instructions. Samples were sequenced at the Entomology Laboratory at NAMRU-6 (Lima, Peru) using an Applied Biosystems 3130 XL Genetic Analyzer sequencer. Sequences were confirmed as being Leishmania or Bartonella DNA using the NCBI Basic Local Alignment Search Tool (BLAST; https://blast.ncbi.nlm.nih.gov/Blast.cgi) prior to phylogenetic analysis.
Phylogenetic analysis of Leishmania DNA sequences
The alignment of cytB gene sequences obtained from sand flies was made using the ClustalW method, and sequences were analyzed with MEGA (Molecular Evolutionary Genetics Analysis) program version X [60]. The evolutionary distances were computed using the Kimura 2-parameter method [61]. Phylogenetic trees were constructed with the maximum likelihood method with Tamura-Nei model [62] and bootstrap support values for nodes were determined with 1,000 replicates [63]. Datasets of cytB Leishmania spp. reference sequences were obtained from GenBank.
Phylogenetic analysis of Bartonella DNA sequences
Bartonella gltA sequences obtained from sand flies were aligned with reference sequences for named Bartonella species from GenBank using MAFFT v7 [64]. The alignment was trimmed to a common length to eliminate poorly aligned positions using Phyutility v2.2 and Gblocks v0.91b [65,66]. Alignments were visually inspected for errors and manually corrected. A maximum likelihood tree was generated using RAxML v8 [67] using only the most closely matching reference sequences in the alignment. The GTRCAT model was used with 25 distinct rate categories and branch support was estimated with 1,000 bootstrap replicates.
Results
Trap type evaluation for sand fly collection
Flor de Acre, Madre de Dios
The CDC, blue, green and red LED, UV and Shannon traps were tested. A total of 2,328 sand fly specimens were collected edge of the forest, 913 (39.2%) females and 1,415 (60.8%) males belonging to two genera, Lutzomyia (35 species) and Brumptomyia (2 species). Abundance of species identified in all trap types used showed that Lu. davisi (SISA = 0.96), Lu. (Trichophoromyia) spp. (SISA = 0.91), Lu. yucumensis (SISA = 0.90), Lu. whitmani (SISA = 0.87) and Lu. auraensis (SISA = 0.80) were at the highest density (S1 Table). Lutzomyia davisi was the most abundant sand fly species in red LED trap (55.0%), Lu. auraensis was predominant in green LED and UV (70.5% and 29.6% respectively), Lu. whitmani in blue LED and CDC (34.6% and 24.6% respectively), and Lu. yucumensis was the predominant species in the sand fly collections with Shannon trap (55.7%).
The UV and blue LED traps collected the highest number of phlebotomine sand flies (53.4% and 21.3% respectively), while the green LED and red LED traps collected the lowest number (1.9% and 1.7% respectively) (S1 Table). To evaluate the effectiveness for sand fly collections of each trap type, the average of total sand fly specimens collected per hour per trap was calculated. Corrected for the total number of hours over two days of trapping, UV traps collected the greatest number of sand flies per hour (Fig 3). A Kruskal-Wallis test showed no significant differences in sand fly collections per trap type per day (chi-squared = 8.08, df = 5, p > 0.05), although there was large variation in sand fly trapping rates within each trap type over the two days of trapping (S1 Fig). Regarding species diversity index, UV traps collected a higher number of species richness (S2 Fig) and species evenness (Fig 4) than other trap types; the differences in Shannon diversity between UV traps and other traps at this site were all statistically significant (p < 0.05).
Tarapoto, San Martin
CDC, blue LED, UV, MM, BG-S, and Shannon trap were evaluated in three sites along Prolongación Alerta, Tarapoto district. A total of 1,335 phlebotomine sand flies were identified, 768 (57.5%) females and 567 (42.5%) males belonging to two genera, Lutzomyia (26 species) and Brumptomyia (2 species). Of them, 481 specimens were collected in the peridomicile and 854 inside the forest, but Kruskal-Wallis tests showed no significant differences in the sand fly species composition between both environments (p>0.05). Lutzomyia hirsuta hirsuta (SISA = 0.90), Lu. nevesi (SISA = 0.81) and Lu. (Trichophoromyia) spp. (SISA = 0.75) were the most abundant phlebotomine sand flies in all trap types used and all study sites. Regarding sand fly abundance by collection method, Lu. (Trichophoromyia) spp. was the predominant species in UV traps (49.3%), Lu. nevesi in blue LED (55.2%), CDC (57.6%) and MM (35.2%), Lu. hirsuta hirsuta in Shannon traps (80.2%) and MM (26.5%), and Lu. yuilli yuilli was caught principally with MM (98%) (S2 Table).
While the Shannon trap was used only on the first two days of trapping in favorable weather conditions, it captured the highest number of sand flies per hour compared to the other traps (Fig 3). During permanent rainy conditions on the last three days of trapping, UV traps performed better than the other four traps (S3 Fig). Kruskal-Wallis tests showed no significant differences in sand fly collections per trap type per day on the first two days with favorable weather (chi-squared = 5.8, df = 5, p > 0.05), on the last three days with permanent rain (chi-squared = 2.4, df = 3, p > 0.05), and across all five trapping days (chi-squared = 8.04, df = 5, p > 0.05). As with results from Madre de Dios, these results are explained by high variation in capture rates across trapping days within each trap type (S1 and S3 Figs). Shannon and BG-S traps captured a smaller number of sand fly species richness (S2 Fig) with significant lower species evenness compared to other trap types (p < 0.05; Fig 4).
San José de Lourdes, Cajamarca
Palmal and Nuevo Porvenir, two rural communities, were selected to evaluate MM, CDC, UV, blue LED, and BG-S traps. The rain was consistent during the entire sand fly collection period, so it was not possible to use the Shannon trap. A total of 191 phlebotomine sand flies were identified, 162 females (84.82%) and 29 males (15.18%) belonging to five Lutzomyia species. Of them, 171 specimens were collected in the peridomicile and 20 in edge of the forest, but Kruskal-Wallis tests showed no significant differences in the sand fly species composition between both environments (p>0.05). Lu. maranonensis (SISA = 0.94) and Lu. robusta (SISA = 0.56) were the most abundant. Other sand fly species identified were Lu. pallidithorax, Lu. castanea and Lu. reclusa (S3 Table).
The MM trap captured the greatest number of sand flies per hour compared to other trap types (Fig 3); BG-S traps did not capture any sand flies at this site. The Kruskal-Wallis test showed significant differences in sand fly collections per trap type per day (chi-squared = 13.2, df = 4, p < 0.05). However, the Wilcoxon signed-rank test with Benjamini-Hochberg FDR failed to detect significant differences (p > 0.05). The CDC trap captured a lower species richness compared to other trap types (S2 Fig) with significantly lower Shannon diversity (p < 0.05; Fig 4).
Caraz, Ancash
Choquechaca community, located 10 km from Caraz city in the inter-Andean Santa River valley, was the study site selected for evaluating CDC, UV, blue LED, and MM traps for sand fly collection. A total of 1,229 phlebotomine sand flies collected in peridomicile were identified, 1,170 females (95.2%) and 59 males (4.8%) belonging to two species, Lu. verrucarum (99.3%) and Lu. peruensis (0.7%) (S4 Table). Since there were only two species captured (S2 Fig) and a high predominance of Lu. verrucarum, Shannon diversity index was not calculated for this study site. MM traps captured the highest average number of sand fly specimens per hour and were the most effective traps (861 specimens, 70.1% of the total sand fly specimens), followed by CDC (189, 15.4%), UV (77, 6.3%), and blue LED (73, 5.9%) (Fig 3). Due to variation across trapping days (S1 Fig), no significant differences in sand fly collections per trap type were found by the Kruskal-Wallis test (chi-squared = 0.76, df = 3, p > 0.05).
Detection of Leishmania DNA
kDNA PCR screening for Leishmania
A total of 353 pools of non-engorged female sand flies (1,613 specimens) were screened for Leishmania DNA (S5 Table). DNA of Leishmania parasites was detected in Lu. hirsuta hirsuta (1 pool), Lu. davisi (3 pools), Lu. carrerai carrerai (2 pools), Lu. whitmani (2 pools), and Lu. (Trichophoromyia) spp. (1 pool) from Madre de Dios collected with UV, blue LED, and green LED traps; and in Lu. nevesi (7 pools) Lu. hirsuta hirsuta (2 pools), Lu. (Sciopemyia) spp. (1 pool), and Lu. (Pressatia) spp. (1 pool) from San Martin collected with UV, blue LED, CDC, and MM traps (Table 2 and S5 Table). The estimated minimum infection rates using this molecular marker were 1.29% and 1.79% in Madre de Dios and San Martin sand flies, respectively. All analyzed sand fly pools from Cajamarca and Ancash were negative for Leishmania DNA.
Table 2. Leishmania DNA detection in phlebotomine sand flies from low jungle (Madre de Dios) and high jungle (San Martin) regions in Peru.
Region | Study site | Trap type | Trap code | Lutzomyia species | Females per pool | kDNA PCR | Nested cytB PCR | cytB sequencing |
---|---|---|---|---|---|---|---|---|
Madre de Dios | Flor de Acre | UV | TTE-005 | Lu. (Trichophoromyia) spp. | 10 | + | - | |
UV | TTE-015 | Lu. hirsuta hirsuta | 1 | + | - | |||
UV | TTE-156 | Lu. carrerai carrerai | 3 | + | + | L. (V.) guyanensis | ||
UV | TTE-157 | Lu. whitmani | 4 | + | - | |||
Blue LED | TTE-063 | Lu. carrerai carrerai | 6 | + | - | |||
Blue LED | TTE-133 | Lu. davisi | 10 | + | - | |||
Blue LED | TTE-140 | Lu. davisi | 10 | + | - | |||
Blue LED | TTE-144 | Lu. whitmani | 10 | + | - | |||
Green LED | TTE-036 | Lu. davisi | 2 | + | - | |||
San Martin | Bocatoma de Shilcayo | MM | T14-SM-011 | Lu. hirsuta hirsuta | 9 | + | - | |
Blue LED | T14-SM-127 | Lu. hirsuta hirsuta | 6 | + | + | L. (V.) naiffi | ||
Centro de Rescate Urku | CDC | T14-SM-065 | Lu. (Sciopemyia) spp. | 1 | + | - | ||
CDC | T14-SM-146 | Lu. nevesi | 2 | + | - | |||
UV | T14-SM-160 | Lu. nevesi | 10 | + | - | |||
Blue LED | T14-SM-089 | Lu. (Pressatia) spp. | 1 | + | - | |||
Cordillera Escalera Lodge | CDC | T14-SM-079 | Lu. nevesi | 1 | + | - | ||
Blue LED | T14-SM-119 | Lu. nevesi | 10 | + | - | |||
Blue LED | T14-SM-120 | Lu. nevesi | 10 | + | - | |||
Blue LED | T14-SM-121 | Lu. nevesi | 10 | + | - | |||
Blue LED | T14-SM-123 | Lu. nevesi | 10 | + | - |
Nested cytB PCR and DNA sequencing for Leishmania
Nested cytB PCR amplicons from positive pools were sequenced. One pool of Lu. carrerai carrerai collected with a UV trap from Madre de Dios was found infected with L. (V.) guyanensis; one pool of Lu. hirsuta hirsuta collected with a blue LED trap from San Martin were found infected with L. (V.) naiffi (Table 2). The phylogenetic tree with cytB DNA sequences is shown in Fig 5. The estimated minimum infection rates using this molecular marker were 0.13% and 0.16% in Madre de Dios and San Martin sand flies, respectively.
Detection of Bartonella DNA
ITS PCR and nested gltA, rpoB and ftsZ PCR screening for Bartonella
A total of 282 pools of non-engorged female sand flies (1,450 specimens) were screened for Bartonella DNA (S6 Table). Lu. whitmani (1 pool) from Madre de Dios collected with UV trap; Lu. nevesi (12 pools), Lu. hirsuta hirsuta (2 pools) and Lu. sherlocki (1 pool) from San Martin collected with CDC, blue LED, UV, and MM traps; and Lu. maranonensis (1 pool) from Cajamarca collected with blue LED were found infected with Bartonella spp. by ITS PCR, and confirmed by nested gltA PCR, and additional molecular markers rpoB and ftsZ PCR (Table 3 and S6 Table). The minimum infection rate based on positive gltA PCR was 1.02%, 1.29% and 0.65% for Madre de Dios, San Martin, and Cajamarca respectively. No positive pools were found in non-engorged female sand flies from Ancash.
Table 3. Bartonella DNA detection in phlebotomine sand flies from low jungle (Madre de* Dios) and high jungle (San Martin and Cajamarca) regions in Peru.
Region | Study stie | Trap type | Trap code | Lutzomyia species | Females per pool | ITS PCR | Nested gltA PCR | Nested rpoB PCR | Nested ftsZ PCR | gltA sequencing |
---|---|---|---|---|---|---|---|---|---|---|
Madre de Dios | Flor de Acre | UV | TTE-006 | Lu. whitmani | 10 | + | + | + | - | B. bacilliformis-like |
San Martin | Bocatoma de Shilcayo | MM | T14-SM-011 | Lu. hirsuta hirsuta | 9 | + | + | + | - | B. bacilliformis-like |
CDC | T14-SM-132 | Lu. hirsuta hirsuta | 8 | + | + | + | - | B. bacilliformis-like | ||
Centro de Rescate Urku | CDC | T14-SM-046 | Lu. nevesi | 10 | + | + | + | - | B. bacilliformis-like | |
CDC | T14-SM-047 | Lu. nevesi | 10 | + | + | + | - | B. bacilliformis-like | ||
CDC | T14-SM-060 | Lu. nevesi | 10 | + | + | + | - | B. bacilliformis-like | ||
CDC | T14-SM-145 | Lu. nevesi | 10 | + | + | + | - | B. bacilliformis-like | ||
UV | T14-SM-160 | Lu. nevesi | 10 | + | + | + | - | B. bacilliformis-like | ||
UV | T14-SM-161 | Lu. nevesi | 10 | + | + | - | - | B. bacilliformis-like | ||
CDC | T14-SM-038 | Lu. nevesi | 1 | + | + | + | + | Candidatus B. rondoniensis-like | ||
Cordillera Escalera Lodge | UV | T14-SM-052 | Lu. sherlocki | 1 | + | + | + | - | B. bacilliformis-like | |
Blue LED | T14-SM-115 | Lu. nevesi | 10 | + | + | + | - | B. bacilliformis-like | ||
Blue LED | T14-SM-119 | Lu. nevesi | 10 | + | + | - | - | B. bacilliformis-like | ||
Blue LED | T14-SM-120 | Lu. nevesi | 10 | + | + | + | - | B. bacilliformis-like | ||
Blue LED | T14-SM-122 | Lu. nevesi | 10 | + | + | + | - | B. bacilliformis-like | ||
Blue LED | T14-SM-123 | Lu. nevesi | 10 | + | + | + | - | B. bacilliformis-like | ||
Cajamarca | San José de Lourdes | Blue LED | T14-SJ-144 | Lu. maranonensis | 4 | + | + | + | + | Candidatus B. rondoniensis-like |
Bartonella DNA sequencing
Amplicons from all positive pools by ITS and gltA were sequenced and confirmed as Bartonella DNA using BLAST. ITS sequences varied in length between 461–590 bp and the closest matching Bartonella species on GenBank were B. bacilliformis (average sequence identity = 91.5%) and B. ancashensis (average sequence identity = 88.1%). The presence of insertions and deletions in the alignment of ITS sequences complicates phylogenetic analyses, so phylogenetic trees were constructed only for the gltA gene. The DNA sequences of gltA had lengths between 319–366 bp and were classified into three lineages (Fig 6). Lineage 1 comprised Lu. whitmani (1 pool) from Madre de Dios, and Lu. nevesi (11 pools) and Lu. sherlocki (1 pool) from San Martin, which were found infected with genotypes most closely related to B. bacilliformis (average sequence identity = 89.6%). Lineage 2 comprised two pools of Lu. hirsuta hirsuta from San Martin and were also related to B. bacilliformis (average sequence identity = 89.6%). The third lineage comprised of one pool of Lu. nevesi from San Martin and one pool of Lu. maranonensis from Cajamarca. These species were found infected with a genotype most closely related to Candidatus B. rondoniensis (average sequence identity = 92%).
Discussion
This is the first study in Peru to evaluate the efficacy of different light and odor-baited trap types for phlebotomine sand fly collection in different ecological regions, and is the first study to determine the natural infection of Leishmania spp. and Bartonella spp. in multiple sand flies in different endemic areas outside of the Andean region. Both findings are unique in Peru and will help to better understand the behavior of phlebotomine sand fly vectors.
Knowledge about insect color vision suggests that there is a high sensitivity to light with short wavelengths that correspond to the ultraviolet spectrum in most insect families [68]. However, due to the higher diversity of visual conditions in which insects operate in nature and the higher diversity of habitats they have colonized, the sensitivity and response to spectral light at different intensities and wavelengths can vary across sites and among species, as has been reported previously [42,68,69]. In the Peruvian southeastern low jungle area (Madre de Dios region), where previous research has reported a great diversity and abundance of phlebotomine sand flies (>60 species), we have observed that the sand fly response of phlebotomine sand flies to light is in decreasing order at this site: UV > blue LED > incandescent light (CDC) > green LED > red LED (S1 Fig). The finding of a higher response to UV light in sand fly species from the Peruvian southeastern region is comparable to results obtained in Iraq and Italy [4,70]. The response of phlebotomine sand flies to green and red LED in this study was poor (1.7% of the total sand flies collected) in contrast to results obtained in Egypt [31], where the red LED was the most efficient trap type for catching Phlebotomus papatasi and results in the Brazilian rainforest [71,72], where they found that the green LED trap was the most effective in comparison to blue LED and CDC control (38–42% of the total sand flies collected).
Except for Shannon traps and protected human bait, traps that release CO2 and other chemical attractants are very effective for collecting phlebotomine sand flies and other blood sucking insects as has been observed in Israel and Egypt [27,32], where different commercial models of MM releasing CO2 only successfully captured P. papatasi and other sand fly species. Most studies with MM traps have been for surveillance of mosquito vectors of malaria and arboviruses [73,74] and experimental vector control programs [75]. For Aedes and other mosquito species, MM trap efficacy is increased when in addition to CO2 the trap is supplemented with octenol [76]. However, when MM was compared with other traps, their efficacy was variable. Human Landing Collection (HLC) was more efficient for collection of Anopheles species (68.13%) compared with MM (31.88%) [34,77]; otherwise, MM collected more abundant specimens of Culicidae (59.94%) than CDC light traps (40.06%) [74]. In our study, the MM was the most efficient sand fly collection method in high jungle areas of Cajamarca region, when under unfavorable weather conditions with permanent rain, more than 80% of phlebotomine sand flies were collected with this trap type (Fig 3). Similar effectiveness of MM for sand fly collections was observed in inter-Andean valleys of Caraz, Ancash (Fig 3).
Our results of the trap type evaluation conducted in different ecological regions with distinct sand fly species composition indicate that phlebotomine sand fly behavior against different colors of light or chemical attractants is variable between study sites. In low jungle regions, UV and blue LED were more efficient and collected a higher diversity of sand fly species, whereas in high jungle and inter-Andean regions, MM and UV traps were more effective. In general, in our study we have observed that traps that use short wavelength light collect a higher diversity of species (Fig 4), while the traps that use chemical attractants as CO2 and R-Octenol, are more selective to capture anthropophilic sand fly species, so it is recommended to use a combination of both trap types (traps based on light emission combined with traps that use chemical attractants) in entomological surveillance of potential sand fly vectors of leishmaniasis and bartonellosis.
It is known that leishmaniasis has been endemic in the Peruvian southeastern region for a long time [78], but the potential vectors have not been characterized until recent years. In communities located near the triple border between Peru, Brazil and Bolivia, 16 Lutzomyia species were found naturally infected with Leishmania parasites [37,44]. In the current study, we found Lu. carrerai carrerai naturally infected with L. (V.) guyanensis in Iberia, Madre de Dios. This Leishmania species has a wide distribution in the Amazon jungle, and in Peru it has been isolated from patients with cutaneous leishmaniasis from high and low jungle regions [79,80]. At the same study site, Lu. whitmani was found naturally infected with a genotype of Bartonella spp. (lineage 1) most closely related to B. bacilliformis based on gltA gene DNA sequences. There are no reports of autochthonous Carrion’s disease transmission in Iberia or any other sites in Madre de Dios region. Recently was reported the detection of B. bacilliformis in ticks collected from wild mammals in San Lorenzo [81], a small town located along the interoceanic highway in Madre de Dios, using a real time PCR protocol, but these results are doubtful because they were not supported by DNA sequencing and phylogenetic analysis [82,83]. Currently, all efforts to find B. bacilliformis in other mammalian reservoirs other than humans have failed, as well as any incrimination of other arthropod vectors besides Lutzomyia species [14,82–85].
In San Martin, northern Amazonian region, where leishmaniasis has higher prevalence and is an important risk area for transmission of this disease [6,86], we found Lu. hirsuta hirsuta naturally infected with L. (V.) naiffi in a rural area located only 5 kilometers from Tarapoto city, along the road to Cordillera Escalera. This is the first report of L. (V.) naiffi in Peru, which increases the number of Leishmania species in our country to eight, in addition to L. (V.) braziliensis, L. (V.) peruviana, L. (V.) guyanensis, L. (V.) lainsoni, L. (V.) shawi, L. (L.) amazonensis, and a hybrid L. braziliensis/peruviana [80]. Leishmania naiffi causes cutaneous leishmaniasis and is widespread in the Brazilian Amazonian region [87] and has also been found infecting human patients as well as Lu. tortura in the northern Amazonian region of Ecuador [50]. Our results suggest that L. (V.) naiffi has a wide distribution in the Amazon region and could be responsible for leishmaniasis cases in San Martin department, where L. (V.) guyanensis has also been detected in human patients [79,80]. Further studies on human populations are necessary to confirm L. (V.) naiffi transmission in Peru. In our study sites in San Martin we also found Lu. nevesi, Lu. hirsuta hirsuta and Lu. sherlocki naturally infected with two Bartonella genotypes related to B. bacilliformis based on gltA gene sequencing (lineages 1 and 2), and a third genotype of Bartonella spp. related to Candidatus B. rondoniensis naturally infecting Lu. nevesi (lineage 3). This is the first report of detection of Bartonella DNA in Lutzomyia species from the northern Amazonian region of San Martin. Leishmaniasis cases have a high prevalence in San Martin and are reported yearly by the Ministry of Health, but information about human bartonellosis in this region is very limited, with only a few cases reported during the last years but without evidence of autochthonous transmission [88]. Interestingly, we found that all sand fly species infected with Bartonella and Leishmania in Madre de Dios and San Martin regions had previously been reported as potential leishmaniasis vectors in the Amazon region of Peru and other countries [3,44].
The Bartonella DNA genotype related to Candidatus B. rondoniensis (lineage 3) was also found naturally infecting Lu. maranonensis in San Jose de Lourdes, a high jungle area in Cajamarca region. This sand fly species was recently found infected with B. bacilliformis in an endemic area of Carrion’s disease in Cutervo province (Cajamarca central region) and has been incriminated as a potential vector of this disease [41]. Lutzomyia maranonensis and Lu. robusta are the most abundant phlebotomine sand flies in the Peruvian northeastern region and southern Ecuador (Zamora Chinchipe province), and it has been suggested that these sand fly species could be the vectors of Carrion’s disease and leishmaniasis in the Peru-Ecuador border regions [19,89,90]. Our results and those of Ulloa et al. [41] show that Lu. maranonensis is capable of harboring different Bartonella species. Similar results were reported by Villaseca et al. [38] who found Lu. peruensis naturally infected with B. bacilliformis and B. taylori in the Urubamba valley, Cuzco region, Peru, where an important outbreak of acute Carrion’s disease occurred during 1997–1998 without previous history of this disease in this region [91]. Candidatus B. rondoniensis was first found in triatomine bugs vectors of Chagas disease, Eratyrus mucronatus from French Guiana [92]. In Peru, there are no reports of Bartonella species infecting triatomine bugs, but different species of Triatominae are distributed across the country, especially in the northern region (San Martin, Cajamarca and Amazonas regions) where Chagas disease is endemic [93–96]. Further studies are needed to determine if triatomine bugs in Peru are also infected with Bartonella spp.
Regarding sand fly species found naturally infected with Bartonella spp. in this study, the majority of them are recognized as potential vectors of leishmaniasis, including Lu. whitmani, Lu. nevesi and Lu. sherlocki [44], whereas Lu. maranonensis is a suspected vector of leishmaniasis along the Peru-Ecuador border [90]. Our detection of Bartonella DNA related to B. bacilliformis in sand flies was unexpected. Due the high diversity of Bartonella species in different vertebrate hosts such as bats, rodents, cats, dogs, non-human primates and other wild vertebrates [91,97–101], and arthropod vectors such as ticks, fleas, body lice, biting flies and triatomine bugs [11,12,102,103], it is unclear which hosts are reservoirs for B. bacilliformis-like lineages 1 and 2 or Candidatus B. rondoniensis-like lineage 3. While the lineages were most closely related to B. bacilliformis and Candidatus B. rondoniensis, they are still quite distant from these species and each other in absolute genetic relatedness (<95% sequence similarity) and may thus represent novel Bartonella species [104]. However, additional markers beyond gltA must be used to clarify the phylogenetic associations of these lineages with other Bartonella species [55,83,104]. Our data and that from Laroche et al. [92] with the description of Candidatus B. rondoniensis indicate that there is an underappreciated diversity of Bartonella lineages present in South American sand flies and other insects that may give us deeper insight into the origins of B. bacilliformis. Finally, the role of these Bartonella species in human disease is unknown. Further studies are needed to determine if these Bartonella genotypes detected in sand flies from low jungle (Madre de Dios) and high jungle (San Martin and Cajamarca) regions have the ability to cause human disease, or only infect vertebrate hosts.
According to our trap type evaluation in endemic areas of leishmaniasis and bartonellosis in Peru, the effectiveness of different traps for collecting sand flies vary according to ecological characteristics, climatic conditions and sand fly fauna composition across each site. Therefore, we recommend combining different traps to efficiently survey sand fly diversity across multiple habitats and maximize the surveillance of pathogens they may carry. Regarding pathogen detection in sand flies, this is the first report of L. (V.) naiffi in Peru and of detection of Bartonella spp. genotypes distantly related to B. bacilliformis and Candidatus B. rondoniensis infecting sand fly species from the Amazon jungle. Our results underscore the need for increased studies of the ecological aspects of Amazonian sand fly species, and to increase Carrion’s disease surveillance in non-endemic areas, especially in the Amazon jungle where the risk of transmission for this disease can be higher due the capacity of sand fly species to transmit different human and newly emerging pathogens.
Supporting information
Acknowledgments
We thank to Albino Urquia from (DIRESA-Madre de Dios); Danti Toribio, Juan Ruiz Tananta (DIRESA San Martin); Lilian Zaquinaula, Soledad Juarez, Juan Hernandez (DISA Jaen-Cajamarca); and Nelson Solorzano (Caraz Hospital, Ancash) for all their support in fieldwork activities for sand fly collections. We would like to especially thank to Dr. Lynn Osikowicz (Centers for Disease Control and Prevention, Division of Vector-Borne Diseases, USA) for her suggestions. We also appreciate the support of Dr. Hirotomo Kato (Jichi Medical University, Japan) for Leishmania detection in sand flies. We would like to thank to Dr. Juan Pablo Murillo (Medicine Faculty, San Marcos University, Lima-Peru) for the valuable input and suggestions for entomological data analysis. Our thanks to NAMRU-6 departments of Parasitology (Dr. Maxy De Los Santos) and Bacteriology (Enrique Canal) who kindly provided us with positive controls of Leishmania and Bartonella, respectively. Our recognition to Mr. Roberto Fernandez (Department of Entomology NAMRU-6) for his help and recommendations for taxonomical identification of phlebotomine sand fly species. We are grateful to the Ministerio de Agricultura y Riego de Peru, Direccion General Forestal y de Fauna Silvestre for permission to conduct these studies under the auspices of Resolución Directoral No. 0306-2013-MINAGRI-DGFFS/DGEFFS.
Disclaimer
The views expressed in this article are those of the author and do not necessarily reflect the official policy or position of the Department of the Navy, Department of Defense, nor the U.S. Government.
Data Availability
All relevant data are within the manuscript and its Supporting Information files.
Funding Statement
GV received funding for this study from the U.S. DoD Armed Forces Health Surveillance Division (AFHSD), Global Emerging Infections Surveillance (GEIS) Branch ProMIS ID P0106_18_N6_05 for FY2018, ProMIS ID P0143_19_N6_04 for FY2019, and the Advanced Medical Development Program Proposal UID3. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
References
- 1.Young D and Duncan M. Guide to the identification and geographic distribution of Lutzomyia sand flies in Mexico, the West Indies, Central and South America (Diptera: Psychodidae). Associated Publishers American Entomological Institute. 1994. [Google Scholar]
- 2.Ready PD. Biology of phlebotomine sand flies as vectors of disease agents. Annu Rev Entomol. 2013; 58:227–50. doi: 10.1146/annurev-ento-120811-153557 . [DOI] [PubMed] [Google Scholar]
- 3.Rangel E, Shaw J. Brazilian sand flies. Biology, taxonomy, medical importance and control. Oswaldo Cruz Foundation, Rangel & Shaw Editors. 2018. [Google Scholar]
- 4.Gaglio G, Napoli E, Arfuso F, Abbate J, Gianetto S, Brianti E. Do different LED colors influence sand fly collection by light trap in the Mediterranean?. BioMed Res Int. 2018; doi: 10.1155/2018/6432637 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.World Health Organization. 2020. https://www.who.int/es/news-room/fact-sheets/detail/leishmaniasis; https://www.paho.org/en/topics/leishmaniasis
- 6.Ministerio de Salud Peru. Leishmaniasis Peru. 2019. https://www.dge.gob.pe/portal/docs/vigilancia/sala/2019/SE51/leishmaniosis.pdf
- 7.Ruiz J. Enfermedad de Carrion fuera de zonas endemicas. Un riesgo latente?. Rev Enf Emerg. 2018; 17(1):16–21. [Google Scholar]
- 8.Maguiña C, Ugarte C, Breña P, Ordaya E, Ventosilla P, Huarcaya E et al. Actualización de la enfermedad de Carrión. Rev Med Hered. 2008; 19(1): 36–41. [Google Scholar]
- 9.Birtles R, Fry N, Ventosilla P, Caceres A, Sanchez E, Vizcarra H, Raoult D. Identification of Bartonella bacilliformis Genotypes and Their Relevance to Epidemiological Investigations of Human Bartonellosis. J Clin Microbiol. 2002; 40(10):3606–12. https://www.ncbi.nlm.nih.gov/pubmed/12354853 doi: 10.1128/JCM.40.10.3606-3612.2002 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Chomel B, Boulouis HJ, Maruyama S, Breitschwerdt E. Bartonella spp. in pets and effect on human health. Emerg Infect Dis. 2006; 12(3): 389–394. doi: 10.3201/eid1203.050931 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Billeter S, Caceres A, Gonzales J, Luna D, Kosoy M. Molecular detection of Bartonella species in ticks from Peru. J Med Entomol. 2011; 48(6):1257–60. https://www.ncbi.nlm.nih.gov/pubmed/22238888 doi: 10.1603/me10240 [DOI] [PubMed] [Google Scholar]
- 12.Cáceres A, Padilla C, Arias J, Huatuco G, Gonzales A. Detection of Bartonella spp. and Rickettsia spp. in fleas, ticks and lice collected in rural areas in Peru. Rev per biol. 2013; 20(2):165–169. [Google Scholar]
- 13.Caceres A, Villaseca P, Dujardin J, Laure A, Inga R, Lopez M et al. 2004. Epidemiology of Andean cutaneous leishmaniasis: incrimination of Lutzomyia ayacuchensis (Diptera: Psychodidae) as a vector of Leishmania in geographically isolated, upland valleys of Peru. Am J Trop Med Hyg. 2004; 70(6): 607–612. [PubMed] [Google Scholar]
- 14.Minnick M, Anderson B, Lima A, Battisti J, Lawyer P. Oroya fever and verruga peruana: Bartonelloses unique to South America. PLoS Negl Dis. 2014; 8(7): e2919. doi: 10.1371/journal.pntd.0002919 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Caceres AG, Galati EA. Lista de Phlebotominae (Diptera: Psychodidae) para el Peru y especies consideradas como vectores naturales e incriminadas en la transmisión de patógenos de la leishmaniosis tegumentaria y la enfermedad de Carrión (verruga peruana). Rev Peru Med Exp Salud Publica. 2001; 18(3–4):100–6. [Google Scholar]
- 16.Zorrilla V, Vásquez G, Espada L, Ramírez P. Vectores de la leishmaniasis tegumentaria y la Enfermedad de Carrión en el Perú: una actualización. Rev Peru Med Exp Salud Publica. 2017; 34(3):485–96. doi: 10.17843/rpmesp.2017.343.2398 [DOI] [PubMed] [Google Scholar]
- 17.Tejada A, Vizcarra H, Perez J, Caceres A, Quispe J, Pinto J et al. Estudio Clínico epidemiológico de bartonellosis humana en el valle del Monzón, Huamalíes, Huánuco. An Fac Med. 2003; 64(4):211–17. [Google Scholar]
- 18.Maco V, Maguiña C, Tirado A, Maco V, Vidal J. Carrion’s disease (Bartonellosis bacilliformis) confirmed by histopathology in the high forest of Peru. Rev Inst Med Trop Sao Paulo. 2004; 46(3): 171–174. doi: 10.1590/s0036-46652004000300010 [DOI] [PubMed] [Google Scholar]
- 19.Cáceres A, Galati E, Le Pont F, Velásquez C. Possible role of Lutzomyia maranonensis and Lutzomyia robusta (Diptera: Psychodidae) as vectors of human bartonellosis in three provinces of region nor oriental del Marañon, Perú. Rev Inst Med Trop Sao Paulo. 1997; 39(1):51–52. doi: 10.1590/s0036-46651997000100011 [DOI] [PubMed] [Google Scholar]
- 20.Kirstein O, Faiman R, Gebreselassie A, Hailu A, Gebre T, Warburg A. Attraction of Ethiopian phlebotomine sand flies (Diptera: Psychodidae) to light and sugar-yeast mixtures (CO2). Parasites & Vectors. 2013; 6:341. http://www.parasitesandvectors.com/content/6/1/341 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Tavares D, Salgado V, Miranda J, Mesquita P, Rodrigues F, Barral-Neto M et al. Attraction of phlebotomine sandflies to volatiles from skin odors of individuals residing in an endemic area of tegumentary leishmaniasis. PLoS ONE. 2018; 13(9): e0203989. doi: 10.1371/journal.pone.0203989 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Pérez E, Villaseca P, Llanos-Cuentas A, Campos M, Guerra H. Técnicas para colectar "titiras" (Lutzomyia spp., Diptera: Psychodidae) en ambientes altoandinos peruanos. Rev Per Ent. 1988; 30:77–80. [Google Scholar]
- 23.Brilhante A, de Avila M, de Souza J, Medeiros-Sousa A, Sabio P, de Paula M et al. Attractiveness of black and white modified Shannon traps to phlebotomine sandflies (Diptera, Psychodidae) in the Brazilian Amazon Basin, an area of intense transmission of American cutaneous leishmaniasis. Parasite. 2017; 24,20. doi: 10.1051/parasite/2017021 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Rodriguez J, Rebollar EA. Effects of trapping methods on the estimation of alpha diversity of phlebotomine sand fly assemblage in southern Mexico. Med Vet Entomol. 2017; 31:392–401 doi: 10.1111/mve.12253 [DOI] [PubMed] [Google Scholar]
- 25.Caceres A. Distribución geográfica de Lutzomyia verrucarum (Townsend, 1913) (Diptera, Psychodidae, Pheblotominae) vector de la bartonellosis humana en el Perú. Rev Inst Med Trop Sao Paulo. 1993; 35(6): 485–490. doi: 10.1590/s0036-46651993000600002 [DOI] [PubMed] [Google Scholar]
- 26.Davies CR, Lane R, Villaseca P, Pyke S, Campos P, Llanos-Cuentas A. The relationship between CDC light-trap and human-bait catches of endophagic sandflies (Diptera: Psychodidae) in the Peruvian Andes. Med Vet Entomol. 1995; 9: 241–248. doi: 10.1111/j.1365-2915.1995.tb00129.x [DOI] [PubMed] [Google Scholar]
- 27.Kline D, Muller G, Hogsette J. Evaluation of propane combustion traps for the collection of Phlebotomus papatasi (Scopoli) in southern Israel. J Vector Ecol. 2011; 36(1): S166–S171. [DOI] [PubMed] [Google Scholar]
- 28.Hashiguchi K, Velez L, Kato H, Criollo H, Romero D, Gomez E et al. Sand fly fauna (Diptera, Psychodidade, Phlebotominae) in different leishmaniasis-endemic areas of Ecuador, surveyed using a newly named Mini-Shannon Trap. Trop Med Health. 2014; 42(4): 163–170. doi: 10.2149/tmh.2014-20 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Almeida P, Leite J, de Araujo A, Batista P, Touro R, Araujo V et al. Fauna of phlebotomine sand flies (Diptera, Psychodidae) in areas with endemic American cutaneous leishmaniasis in the State of Mato Grosso do Sul, Brazil. Rev Bras Entomol. 2013; 57(1): 105–112. [Google Scholar]
- 30.Sierpe V, Casanova C, de Araujo E, Rocha D, Pinto M, Moura de Melo C. Type of light in sand fly captures (Diptera: Psychodidade). Acta biol Colomb. 2012; 17(3): 675–678. [Google Scholar]
- 31.Hoel D, Butler J, Fawaz E, Watany N, El-Hossary S, Vilinski J. Response of phlebotomine sand flies to light-emitting diode-modified light traps in southern Egypt. J Vector Ecol. 2007; 32(2): 302–308. doi: 10.3376/1081-1710(2007)32[302:ropsft]2.0.co;2 [DOI] [PubMed] [Google Scholar]
- 32.Hoel DF, Kline Dl, Hogsette JA, Bernier UR, El-Hossary SS, Hanafi HA, et al. Efficacy of commercial mosquito traps in capturing phlebotomine sand flies (Diptera: Psychodidae) in Egypt. J Med Entomol. 2010; 47(6):1179–1184. doi: 10.1603/me10144 [DOI] [PubMed] [Google Scholar]
- 33.Rodriguez J, Arque W, Fernandez I, Rebollar E. Comparative field evaluation of different traps for collecting adult phlebotomine sand flies (Diptera: Psychodidae) in an endemic area of cutaneous leishmaniasis in Quintana Roo, Mexico. J Am Mosq Control Assoc. 2016; 32(2): 103–116. doi: 10.2987/moco-32-02-103-116.1 [DOI] [PubMed] [Google Scholar]
- 34.Rubio-Palis Y, Moreno JE, Sanchez V, Estrada Y, Anaya W, Bevilacqua M, et al. Can Mosquito Magnet substitute for human-landing catches to sample anopheline populations? Mem Inst Oswaldo Cruz. 2012; 107(4): 546–549. doi: 10.1590/s0074-02762012000400017 [DOI] [PubMed] [Google Scholar]
- 35.Sant’Ana D, Rodrigues de Sa I, Sallum M. Effectiveness of Mosquito Magnet trap in rural areas in the southeastern tropical Atlantic forest. Mem Inst Oswaldo Cruz. 2014; 109(8): 1021–1029. doi: 10.1590/0074-02761400297 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Gaglio G, Napoli E, Falsone L, Giannetto S, Brianti E. Field evaluation of a new light trap for phlebotomine sand flies. Acta Tropica. 2017; 174: 114–117. doi: 10.1016/j.actatropica.2017.07.011 [DOI] [PubMed] [Google Scholar]
- 37.Valdivia H, De los Santos M, Fernandez R, Baldeviano C, Zorrilla V, Vera H et al. Natural Leishmania Infection of Lutzomyia auraensis in Madre de Dios, Peru, detected by a Fluorescence Resonance Energy Transfer–Based Real-Time Polymerase Chain Reaction. Am J Trop Med Hyg. 2012; 87(3):511–17. doi: 10.4269/ajtmh.2012.11-0708 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Villaseca P, Padilla C, Ventura G, Samalvides F, Yañez H, Chevarría L, et al. Importancia de la Lutzomyia peruensis en la transmisión de la Enfermedad de Carrión en el Valle Sagrado de los Incas. Urubamba-Cusco, Perú. Rev Peru Med Exp Salud Pública. 1999; 15(1–2):28–30. https://www.researchgate.net/publication/237590330_ [Google Scholar]
- 39.Romero S. Detection of Bartonella bacilliformis by Real Time PCR in naturally infected sand flies. Thesis Master of Science. USUHS. 2004. www.dtic.mil/get-tr-doc/pdf?AD=ADA434804 [Google Scholar]
- 40.Romero R. Deteccion de Bartonella bacilliformis en Lutzomyia de Cusco por el metodo de PCR en tiempo real. Tesis Doctora en Ciencias de la Salud. UNMSM. 2017.
- 41.Ulloa G, Vasquez F, Gomes C, del Valle J, Ruiz J, Pons M et al. Molecular detection of Bartonella bacilliformis in Lutzomyia maranonensis in Cajamarca, Peru: A new potential vector of Carrion’s disease in Peru?. Am J Trop Med Hyg. 2018; 99(5): 1229–1233. doi: 10.4269/ajtmh.18-0520 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Lima-Neto A, Costa-Neta B, da Silva A, Brito J, Aguiar J, Ponte I et al. The effect of luminous intensity on the attraction of phlebotomine sand flies to light traps. J Med Entomol. 2017; 20(20): 1–4 doi: 10.1093/jme/tjx229 [DOI] [PubMed] [Google Scholar]
- 43.Galati EA (in Rangel, Lainson R.) Flebotomineos do Brasil. 2. Morfología y taxonomía. Editora FIOCruz, Fundacão Oswaldo Cruz. Río de Janeiro, Brasil. 2003; Pág. 23–53 [Google Scholar]
- 44.Zorrilla V, De Los Santos MB, Espada L, Santos RdP, Fernandez R, Urquia A, et al. Distribution and identification of sand flies naturally infected with Leishmania from the Southeastern Peruvian Amazon. PLoS Negl Trop Dis. 2017; 11(11):e0006029. doi: 10.1371/journal.pntd.0006029 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Roberts D, Hsi B. An Index of Species Abundance for Use with Mosquito Surveillance Data. Environ Entomol. 1979; 8(6):1007–13. [Google Scholar]
- 46.Benjamini Y, Hochberg Y. Controlling the false discovery rate: a practical and powerful approach to multiple testing. J R Stat Soc: Series B. 1995; 57, 289–300. [Google Scholar]
- 47.Hutcheson K. A test for comparing diversities based on the Shannon formula. J Theor Biol. 1970; 29 (1):151–4. doi: 10.1016/0022-5193(70)90124-4 . [DOI] [PubMed] [Google Scholar]
- 48.Kato H, Uezato H, Katakura K, Calvopiña M, Marco J, Barroso P et al. Detection and identification of Leishmania species within naturally infected sand flies in the Andean areas of Leishmaniasis in Ecuador by a Polymerase Chain Reaction. Am J Trop Med Hyg. 2005; 72(1):87–93. http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.484.1044&rep=rep1&type=pdf [PubMed] [Google Scholar]
- 49.Kato H, Caceres AG, Mimori T, Ishimaru Y, Sayed AS, Fujita M et al. Use of FTA cards for direct sampling of patients’ lesions in the ecological study of cutaneous leishmaniasis. J Clin Microbiol. 2010; 48(10):3661–5. Epub 2010/08/20. doi: 10.1128/JCM.00498-10 ; PubMed Central PMCID: PMC2953078. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Kato H, Calvopiña M, Criollo H, Hashiguchi Y. First human cases of Leishmania (Viannia) naiffi infection in Ecuador and identification of its suspected vector species. Acta Tropica. 2013; 128: 710–713. doi: 10.1016/j.actatropica.2013.09.001 [DOI] [PubMed] [Google Scholar]
- 51.Diniz P.P., Maggi R.G., Schwartz D.S., Cadenas M.B., Bradley J.M., Hegarty B.C., Breitschwerdt E.B. Canine bartonellosis: serological and molecular prevalence in Brazil and evidence of co-infection with Bartonella henselae and Bartonella vinsonii subsp. berkhoffii. Vet. Res. 2007; 38, 697–710. doi: 10.1051/vetres:2007023 [DOI] [PubMed] [Google Scholar]
- 52.Norman A, Regnery R, Jameson P, Greene C, Krause D. Differentiation of Bartonella-like isolates at the species level by PCR-Restriction Fragment length polymorphism in the Citrate Synthase Gene. J Clin Microbiol. 1995; 33(7):1797–1803 doi: 10.1128/jcm.33.7.1797-1803.1995 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53.Birtles R, Raoult D. Comparison of partial Citrate Synthase Gene (gltA) sequences for phylogenetic analysis of Bartonella species. Int J Syst Bacteriol. 1996; 46(4): 891–897. doi: 10.1099/00207713-46-4-891 [DOI] [PubMed] [Google Scholar]
- 54.Gundi V, Kosoy M, Makundi R, Laudisoit A. Identification of diverse Bartonella genotypes among small mammals from Democratic Republic of Congo and Tanzania. Am J Trop Med Hyg. 2012; 87(2): 319–326. doi: 10.4269/ajtmh.2012.11-0555 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.Kosoy M, McKee C, Albayrak L, Fofanov Y. Genotyping of Bartonella bacteria and their animal hosts: current status and perspectives. Parasitology. 2018; doi: 10.1017/S0031182017001263 [DOI] [PubMed] [Google Scholar]
- 56.Kabeya H, Inoue K, Izumi Y, Morita T, Imai S, Maruyama S. Bartonella Species in Wild Rodents and Fleas from Them in Japan. J Vet Med Sci. 2011; 73. 1561–7. 10.1292/jvms.11-0134. doi: 10.1292/jvms.11-0134 Epub 2011 Jul 27. [DOI] [PubMed] [Google Scholar]
- 57.Renesto P, Gouvernet J, Drancourt M, Roux V, Raoult D. Use of rpoB gene analysis for detection and identification of Bartonella species. J Clin Microbiol. 2001; 39(2): 430–437. doi: 10.1128/JCM.39.2.430-437.2001 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58.Zeaiter Z, Liang Z, Raoult D. Genetic classification and differentiation of Bartonella species based on comparison of partial ftsZ gene sequences. J Clin Microbiol. 2002; 40(10): 3641–3647. doi: 10.1128/JCM.40.10.3641-3647.2002 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59.Colborn J, Kosoy M, Motin V, Telepnev M, Valbuena G, Myint K et al. Improved detection of Bartonella DNA in mammalian hosts and arthropod vectors by Real-Time PCR using the NADH Dehydrogenase Gamma Subunit (NuoG). J Clin Microbiol. 2010; 48(12): 4630–4633. doi: 10.1128/JCM.00470-10 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 60.Kumar S. et al. MEGA7: Molecular Evolutionary Genetics Analysis Version 7.0 for Bigger Datasets. Mol Biol Evol. 2016; 33(7):1870–1874. doi: 10.1093/molbev/msw054 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 61.Kimura M. "A simple method for estimating evolutionary rates of base substitutions through comparative studies of nucleotide sequences". J Mol Evol. 1980; 16 (2): 111–120. doi: 10.1007/BF01731581 [DOI] [PubMed] [Google Scholar]
- 62.Tamura K. and Nei M. Estimation of the number of nucleotide substitutions in the control region of mitochondrial DNA in humans and chimpanzees. Mol Biol Evol. 1993; 10:512–526. doi: 10.1093/oxfordjournals.molbev.a040023 [DOI] [PubMed] [Google Scholar]
- 63.Felsenstein J. Confidence limits on phylogenies: An approach using the bootstrap. Evolution. 1985; 39:783–791 doi: 10.1111/j.1558-5646.1985.tb00420.x [DOI] [PubMed] [Google Scholar]
- 64.Katoh K, Standley DM. MAFFT multiple sequence alignment software version 7: improvements in performance and usability. Mol Biol Evol. 2013; 30: 772–780. doi: 10.1093/molbev/mst010 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 65.Castresana J. Selection of conserved blocks from multiple alignments for their use in phylogenetic analysis. Mol Biol Evol. 2000; 17: 540–552. doi: 10.1093/oxfordjournals.molbev.a026334 [DOI] [PubMed] [Google Scholar]
- 66.Smith SA, Dunn CW. Phyutility: a phyloinformatics tool for trees, alignments and molecular data. Bioinformatics. 2008; 24: 715–716. doi: 10.1093/bioinformatics/btm619 [DOI] [PubMed] [Google Scholar]
- 67.Stamatakis A. RAxML version 8: a tool for phylogenetic analysis and post-analysis of large phylogenies. Bioinformatics. 2014; 30: 1312–1313. doi: 10.1093/bioinformatics/btu033 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 68.Briscoe A, Chittka L. The evolution of color vision in insects. Annu Rev Entomol. 2001; 46:471–510. doi: 10.1146/annurev.ento.46.1.471 [DOI] [PubMed] [Google Scholar]
- 69.Cohnstaedt L, Gillen J, Munstermann L. Light-emitting diode technology improves insect trapping. J Am Mosq Control Assoc. 2008; 24(2): 331–334. doi: 10.2987/5619.1 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 70.Burkett D, Knight R, Dennett J, Sherwood V, Rowton E, Coleman R. Impact of Phlebotomine sand flies on U.S. military operations at Tallil Air Base, Iraq: 3, evaluation of surveillance devices for the collection of adult sand flies. J Med Entomol. 2007; 44(2): 381–384. doi: 10.1603/0022-2585-44.2.381 [DOI] [PubMed] [Google Scholar]
- 71.Silva F, Brito J, Costa-Neta B, Lobo S. Evaluation of light-emitting diodes as attractant for sand flies (Diptera: Psychodidae: Phlebotominae) in northeastern Brazil. Mem Inst Oswaldo Cruz. 2015; 110(6): 801–803. doi: 10.1590/0074-02760150132 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 72.Silva F, Silva A, Rebelo J. An evaluation of light-emitting diode (LED) traps at capturing phlebotomine sand flies (Diptera Psychodidae) in a livestock area in Brazil. J Med Entomol. 2016; 1–5. doi: 10.1093/jme/tjw016 [DOI] [PubMed] [Google Scholar]
- 73.Rodrigues de Sa I, Sallum M. Comparison of automatic traps to capture mosquitoes (Diptera: Culicidae) in rural areas in the tropical Atlantic rainforest. Mem Inst Oswaldo Cruz. 2013; 108(8): 1014–1020. doi: 10.1590/0074-0276130474 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 74.Chaves L, Laporta G, Sallum M. Effectiveness of Mosquito Magnet in preserved area on the coastal Atlantic rainforest: implication for entomological surveillance. J Med Entomol. 2014; 51(5): 915–924. doi: 10.1603/me14050 [DOI] [PubMed] [Google Scholar]
- 75.Kitau J, Rwegoshora R, Rwegoshora D, Matowo J, Mosha F, Magesa S. The effect of combined use of Mosquito Magnet Liberty Plus trap and insecticide treated net on human biting rates of Anopheles gambiae s.s. and Culex quinquefasciatus. Tanzania J Health Res. 2009; 11(2): 84–89. [Google Scholar]
- 76.Qualls W, Mullen G. Evaluation of the Mosquito Magnet Pro trap with and without 1-octen-3-ol for collecting Aedes albopictus and other urban mosquitoes. J Am Mosq Control Assoc. 2007; 23(2): 131–136. doi: 10.2987/8756-971X(2007)23[131:EOTMMP]2.0.CO;2 [DOI] [PubMed] [Google Scholar]
- 77.Hiwat H, Andriessen R, de Rijk M. Carbon dioxide baited trap catches do not correlate with human landing collections of Anopheles aquasalis in Suriname. Mem Inst Oswaldo Cruz. 2011; 106(3): 360–364. doi: 10.1590/s0074-02762011000300017 [DOI] [PubMed] [Google Scholar]
- 78.Tejada A. Leishmaniasis tegumentaria en el Perú. Investigación epidemiológico-clínica de la leishmaniasis tegumentaria en los departamentos del Cuzco y Madre de Dios. Tesis de Doctorado. Programa Académico de Medicina Humana. UNMSM. Lima. 1973.
- 79.Lucas C, Franke E, Cachay M, Tejada A, Cruz M, Kreutzer R, et al. Geographic distribution and clinical description of leishmaniasis cases in Peru. Am J Trop Med Hyg. 1998; 59(2): 312–17. doi: 10.4269/ajtmh.1998.59.312 [DOI] [PubMed] [Google Scholar]
- 80.Kato H, Caceres A, Seki C, Silupu C, Holguin C, Castro S et al. Further insight into the geographic distribution of Leishmania species in Peru by cytochrome b and mannose phosphate isomerase gene analyses. PLoS Negl Trop Dis 2019; 13(6): e0007496. doi: 10.1371/journal.pntd.0007496 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 81.Del Valle J, Rojas J, Vasquez F, Aguilar M, Correa G, Silva W et al. Molecular identification of Bartonella bacilliformis in ticks collected from two species of wild mammals in Madre de Dios: Peru. BMC Res Notes. 2018; 11:405. doi: 10.1186/s13104-018-3518-z [DOI] [PMC free article] [PubMed] [Google Scholar]
- 82.Garcia-Quintanilla M, Dichter A, Guerra H, Kempf V. Carrion’s disease: more than a neglected disease. Parasites & Vectors. 2019; 12:141 doi: 10.1186/s13071-019-3390-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 83.Ruiz J. Dubious presence of Bartonella bacilliformis in ticks from Madre de Dios, Peru. BMC Res Notes. 2019; 12:539. doi: 10.1186/s13104-019-4528-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 84.Pons M, Gomes C, del Valle J, Ruiz J. Carrion’s disease: more than a sand fly-vectored illness. PLoS Pathog. 2016; 12(10): e1005863. doi: 10.1371/journal.ppat.1005863 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 85.Birtles R, Canales J, Ventosilla P, Alvarez E, Guerra H, Llanos-Cuentas A et al. Survey of Bartonella species infecting intradomiciliary animals in the Huayllacallan Valley, Ancash, Peru, a region endemic for human bartonellosis. Am J Trop Med Hyg. 1999; 60(5): 799–805. doi: 10.4269/ajtmh.1999.60.799 [DOI] [PubMed] [Google Scholar]
- 86.Ore M, Saenz E, Cabrera R, Sanchez F, De Los Santos M, Lucas C et al. Outbreak of Cutaneous Leishmaniasis in Peruvian Military Personnel Undertaking Training Activities in the Amazon Basin, 2010. Am J Trop Med Hyg. 2015; 93(2): 340–346 doi: 10.4269/ajtmh.15-0107 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 87.Figueira L, Soares F, Naiff Junior R, Vinhote-Silva A, Silva S, Espir T et al. New human case reports of cutaneous leishmaniasis by Leishmania (Viannia) naiffi in the Amazon region, Brazil. Acta Amazonica. 2017; 47(1):47–52. [Google Scholar]
- 88.Ministerio de Salud Peru. Enfermedad de Carrion, Peru. 2019. https://www.dge.gob.pe/portal/docs/vigilancia/sala/2019/SE51/carrion.pdf
- 89.Galati E, Caceres A, Le Pont F. Description of Lutzomyia (Pifanomyia) robusta n. sp. (Diptera, Psychodidae, Phlebotominae) from Peruvian Ecuadorean interAndean areas. Rev Saude Publica. 1995; 29(2): 89–99. doi: 10.1590/s0034-89101995000200002 [DOI] [PubMed] [Google Scholar]
- 90.Galati E, Caceres A, Le Pont F. Descricoes de duas especies novas de Phlebotominae (Diptera, Psychodidae) e consideracoes sobre o subgenera Pifanomyia Ortiz & Scorza. Rev Bras Entomol. 1995; 39(2):431–446. [Google Scholar]
- 91.Ellis B, Rotz L, Leake J, Salmavides F, Bernable J, Ventura G et al. An outbreak of acute bartonellosis (Oroya fever) in the Urubamba region of Peru, 1998. Am J Trop Med Hyg. 1999; 6(12):344–49. https://www.ncbi.nlm.nih.gov/pubmed/10463692 [DOI] [PubMed] [Google Scholar]
- 92.Laroche M, Berenger JM, Mediannikov O, Raoult D, Parola P. Detection of a potential new Bartonella species “Candidatus Bartonella rondoniensis” in human biting kissing bugs (Reduviidae; Triatominae). PLoS Negl Trop Dis. 2017; 11, e0005297. doi: 10.1371/journal.pntd.0005297 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 93.Caceres A, Troyes L, Gonzales A, Llontop E, Bonilla C, Murias E et al. Enfermedad de Chagas en la region Nor Oriental del Peru. I. Triatominos (Hemiptera, Reduviidae) presentes en Cajamarca y Amazonas. Rev Peru Med Exp Salud Publica. 2002; 19(1): 17–23. [Google Scholar]
- 94.Naquira C, Cabrera R. Breve reseña historica de la enfermedad de Chagas, a cien años de su descubrimiento y situacion actual en el Peru. Rev Peru Med Exp Salud Publica. 2009; 26(4): 494–504. [Google Scholar]
- 95.Caceres A, Vega S, Ancca J, Pinto J, Vela G, Cardenas V et al. Aspectos entomologicos de la enfermedad de Chagas en Huallaga y Picota, San Martin, Peru. An Fac Med. 2010; 71(1): 28–36. [Google Scholar]
- 96.Tarqui K, Solis H, Zorrilla V, Tuñoque R, Valverde F. Comunicacion preliminar sobre la determinación de indicadores entomologicos de triatominos en un centro poblado del distrito de Cajaruro, provincial de Utcubamba (Amazonas), Peru. Rev peru Epidemiol. 2014; 18(2): 1–5. https://www.redalyc.org/articulo.oa?id=203131877006. http://revistasinvestigacion.unmsm.edu.pe/index.php/anales/article/view/1414/1205 [Google Scholar]
- 97.Breitschwerdt E, Kordick D. Bartonella infection in animals: carriership, reservoir potential, pathogenicity, and zoonotic potential for human infection. Clin Microbiol Rev. 2000; 13(3): 428–438. doi: 10.1128/CMR.13.3.428 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 98.Bai Y, Recuenco S, Gilbert A, Osikowicz L, Gomez J, Rupprecht C et al. Prevalence and diversity of Bartonella spp. in bats in Peru. Am J Trop Med Hyg. 2012; 87(3): 518–523. doi: 10.4269/ajtmh.2012.12-0097 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 99.Bai Y, Gilbert A, Fox K, Osikowicz L, Kosoy M. Bartonella rochalimae and B. vinsonii subsp. berkhoffii in wild carnivores from Colorado, USA. J Wildlife Dis. 2016; 52(4): 844–849. doi: 10.7589/2016-01-015 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 100.McKee C, Hayman D, Kosoy M, Webb C. Phylogenetic and geographic patterns of Bartonella host shifts among bat species. Infect Genet Evol. 2016; 44:382–394. doi: 10.1016/j.meegid.2016.07.033 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 101.McKee C, Kosoy M, Bai Y, Osikowicz L, Franka R, Gilbert A et al. Diversity and phylogenetic relationships among Bartonella strains from Thai bats. PLoS ONE. 2017; 12(7): e0181696. doi: 10.1371/journal.pone.0181696 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 102.Chomel B, Boulouis H, Breitschwerdt E, Kasten R, Vayssier-Taussat M, Birtles R et al. Ecological fitness and strategies of adaptation of Bartonella species to their hosts and vectors. Vet Res. 2009; 40:29 doi: 10.1051/vetres/2009011 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 103.Cheslock M, Embers M. Human Bartonellosis: An underappreciated public health problem?. Trop Med Infect Dis. 2019; 4 (69): doi: 10.3390/tropicalmed4020069 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 104.Gutierrez R, Vayssier-Taussat M, Buffet JP, Harrus S. Guidelines for the isolation, molecular detection and characterization of Bartonella species. Vector Borne Zoonotic Dis. 2017; 17(1): 42–50. doi: 10.1089/vbz.2016.1956 [DOI] [PubMed] [Google Scholar]
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