Research on rodents as leishmaniasis reservoirs has revealed a diverse array of transmission cycles where epidemic cutaneous disease caused by
L. major occurs near colonies of reservoir gerbil rodents in Asia including Khuzestan province on the border of Iran and Iraq (
19). Rodents are not always well distinguished in literature; although distinguishing closely-related members of
T. indica species is complex, it is important for transmission cycle and epidemiological aspects (
13,
26). This is crucial to separate reservoirs that are biomedically important from the rodent species that are competent reservoirs but without reservoir capacity to cause much ZCL disease (
7,
24). The ecological associations with infected reservoir hosts or humans, and the descriptive eco-epidemiology could suggest a potential reservoir role. Modeling of transmission cycling associations is required to identify the reservoirs that are a real public health priority (
6,
27).
Most ZCL infections are diagnosed clinically and microscopically in patients; but in reservoir hosts, a combination of molecular, biochemical, and serological tests can demonstrate significant numbers of
Leishmania infections in endemic areas of ZCL foci (
28,
29). The incidence of ZCL associated with the transmission of
L. major by rodents has declined in many foci where living standards have been improved (
4). Only one report on
Leishmania infection in one
T. indica has been presented in a very small area of Khuzestan province named Roffaye, although it is not clear how authors confirmed
L. major without sequencing and aliment and molecular analyses (
19).
Rhombomys opimus as the main reservoir host of ZCL has been trapped frequently in many areas of Iran while they were more with
Leishmania infections; despite expecting the same situation in the case of
T. indica as the second main reservoir host of ZCL in south of Iran, the minority of
T. indica were found with
Leishmania infection in the conducted investigations (
17,
30,
31).
Despite low
Leishmania infection in
T. indica, the prevalence of human disease and infections is relatively high in some districts of Khuzestan province, so that these districts appear to have a transmission cycle typical of the ZCL, while
T. indica were incriminated as the reservoir hosts of
L. major (
1,
10,
17,
20). Using cross tab, chi-square, and adjusted logistic regression statistical tests, some epidemiological factors such as age, gender, season, and habitat were analyzed to compare any epidemiological factor affecting
Leishmania infection in
T. indica. No significant factor was found to change the situation of disease; however, small changes in some factors were shown (
Table 2). Statistical analyses showed the first age group of
T. indica had significantly high
Leishmania infection. This may be due to that younger
T. indica search for food and show more activities around the rodent borrows and this can increase the chance for biting by sandflies.
Using ITS-rDNA gene and two statistical methods (NJ and ML), a few old world
Leishmania species were identified in Iran and elsewhere under similar conditions (
22,
32-
34).
The number of pairwise differences among sequences was compared with the expected number of segregating sites in
Leishmania species and using Tajima’s D index analysis, a negative evolution process was found; also, the number of observed mutations was lower than the number of expecting mutations. Majority of mutations were not informative but unique. The gape in alignments of ITS-rDNA gene increased with the number of different haplotypes while by ignoring or removing the gap, the number of haplotypes decreased (
Table 3).
| Host | Parasite Sp. | No. Seq | No Nucleotide2 | S (%) | K | Per Seqb | πc | Per Siteb | Tajima’s D | Singleton Variable | Parsimony Variable | H | Hd |
|---|
| | | | | | | | | | | | With Gap | Without Gap | With Gap | Without Gap |
|---|
| Rodent | L. major | 6 | 373 (336) | 5 (1.488) | 1.66 | 2.18 | 0.0049 | 0.006 | -1.33 | 5 | 0 | 4 | 2 | 0.8 | 0.33 |
| Sandfly | L. major | 6 | 373 (333) | 15 (4.504) | 5.2 | 6.56 | 0.015 | 0.019 | -1.22 | 15 | 0 | 6 | 5 | 1 | 0.93 |
| L. tropica | 1 | - | - | - | - | - | - | - | - | - | - | - | - | - |
| Human | L. major | 4 | 373 (337) | 0 | - | - | 0 | - | - | - | - | 3 | 1 | 0.83 | 0 |
| L. tropica | 3 | 373 (332) | 17 (5.120) | 11.33 | 11.33 | 0.034 | 0.034 | 1 | 17 | 0 | 3 | 3 | 1 | 1 |
| L.infantum | 1 | - | - | - | - | - | - | - | - | - | - | - | - | - |
| Total | All | 21 | 373 (306) | 33 (10.784) | 7.6 | 9.17 | 0.025 | 0.029 | -0.64 | 15 | 18 | 16 | 10 | 0.97 | 0.68 |
Abbreviations: S, segregation of variable nucleotide sites; K, average number of pairwise nucleotide difference between pairs of sequences; H, No. of haplotype; Hd, haplotype diversity.
aNumber of sequence used in this study.
bThe amount of genetic variation.
cNucleotide diversity, Tajima’s D: the D test statistic proposed by Tajima, (35).
Using the maximum likelihood method based on the Kimura 2-parameter model, a tree with the highest log likelihood (-838.0810) was constructed. Initial tree(s) for the heuristic search were obtained by applying the neighbor-joining method to a matrix of pairwise distances estimated using the maximum composite likelihood (MCL) approach. A discrete Gamma distribution was used to model evolutionary rate differences among sites (5 categories (+G, parameter = 0.2030)). The tree was drawn to scale, with branch lengths measured in the number of substitutions per site. The analysis involved 21 nucleotide sequences. There were a total of 373 positions in the final dataset (
Figure 2). Using the neighbor-joining method, the optimal tree with the sum of branch length of 0.13416000 was drawn. The percentage of replicate trees in which the associated taxa clustered together in the bootstrap test (1000 replicates) is shown next to the branches. The tree was drawn to scale, with branch lengths in the same units as those of the evolutionary distances used to infer the phylogenetic tree. The evolutionary distances were computed using the Kimura 2-parameter method in the units of the number of base substitutions per site. The rate variation among sites was modeled with a gamma distribution (shape parameter = 1). The analysis involved 21 nucleotide sequences. All positions containing gaps and missing data were eliminated. There were a total of 306 positions in the final dataset (
Table 3,
Figures 2 and
3). Phylogenetic trees for
L. major are supported on their specific clades and
L. tropica on own clades.
The current report established that T. indica is not the only reservoir host of ZCL circulating in Khuzestan province. Our investigation raises the possibility that the role of some rodents or other mammals in the incidence of ZCL might be due to some changes in the transmission rate of L. major. Phylogenetic analysis of ITS-rDNA gene is recommended for firm identification and separation of Leishmania species.