Novel Loci Controlling Parasite Load in Organs of Mice Infected With Leishmania major, Their Interactions and Sex Influence

Abstract

Leishmaniasis is a serious health problem in many countries, and continues expanding to new geographic areas including Europe and USA. This disease, caused by parasites of Leishmania spp. and transmitted by phlebotomine sand flies, causes up to 1.3 million new cases each year and despite efforts toward its functional dissection and treatment it causes 20–50 thousands deaths annually. Dependence of susceptibility to leishmaniasis on sex and host's genes was observed in humans and in mouse models. Several laboratories defined in mice a number of Lmr (Leishmania major response) genetic loci that control functional and pathological components of the response to and outcome of L. major infection. However, the development of its most aggressive form, visceral leishmaniasis, which is lethal if untreated, is not yet understood. Visceral leishmaniasis is caused by infection and inflammation of internal organs. Therefore, we analyzed the genetics of parasite load, spread to internal organs, and ensuing visceral pathology. Using a new PCR-based method of quantification of parasites in tissues we describe a network-like set of interacting genetic loci that control parasite load in different organs. Quantification of Leishmania parasites in lymph nodes, spleen and liver from infected F₂ hybrids between BALB/c and recombinant congenic strains CcS-9 and CcS-16 allowed us to map two novel parasite load controlling Leishmania major response loci, Lmr24 and Lmr27. We also detected parasite-controlling role of the previously described loci Lmr4, Lmr11, Lmr13, Lmr14, Lmr15, and Lmr25, and describe 8 genetic interactions between them. Lmr14, Lmr15, Lmr25, and Lmr27 controlled parasite load in liver and lymph nodes. In addition, Leishmania burden in lymph nodes but not liver was influenced by Lmr4 and Lmr24. In spleen, parasite load was controlled by Lmr11 and Lmr13. We detected a strong effect of sex on some of these genes. We also mapped additional genes controlling splenomegaly and hepatomegaly. This resulted in a systematized insight into genetic control of spread and load of Leishmania parasites and visceral pathology in the mammalian organism.

Introduction

Leishmaniasis is a neglected tropical disease, which belongs to the top health problems because it is endemic in 98 countries in Asia, Africa, the Americas, and the Mediterranean region (1–3) and is gradually expanding to new areas, including Central Europe and USA (2, 4–9). The disease occurs in cutaneous, mucocutaneous, and visceral forms (9). It is caused by the protozoan intracellular parasite Leishmania transmitted by Phlebotomus spp. in the Old World and Lutzomyia spp. in the New World. The parasite can infect about 70 species of vertebrates, including humans (10–13). In addition, there are specific groups of asymptomatic infection (14), and post-kala-azar dermal leishmaniasis (15). Visceral leishmaniasis is fatal in more than 95% of cases if left untreated (9). Up to 1.3 million new cases occur annually: 300 000 are visceral and 1 million are cutaneous and mucocutaneous and about 20–50 thousands patients die (13). In the infected mammalian organism, Leishmania parasites invade “professional phagocytes,” including monocytes, macrophages, and neutrophils and can also reside in dendritic cells (DC) (16), immature myeloid precursor cells, hepatocytes, and fibroblasts; the parasite can also enter sialoadhesin-positive stromal macrophages (17).

Treatment of leishmaniasis is difficult because of the lack of reliable drugs. Existing leishmanicidal agents show severe side effects. In addition, the treatment is costly and not readily available to a majority of patients. In spite of numerous attempts to develop vaccination against leishmaniasis, there are still no safe and effective vaccines suitable for humans (18, 19). Clinical form and susceptibility to leishmaniasis are dependent on parasite species, environmental and social factors, and also on nutrition and genotype of the host (3, 10, 16, 20).

Parasite load is one of the most important parameters of leishmaniasis determining the course of infection and the degree of susceptibility. However, the information about genetic control of parasite load remains incomplete and fragmented; there is no systematic description of the control of parasite load in combination with other pathological parameters and influence of sex on these genes is not known for any of the studied Leishmania species. The use of mouse models in studies of selected candidate genes and also for hypothesis-generating genome-wide association and linkage analysis, revealed several genes and loci controlling parasite burden (16, 21–23) (Table 1). However, quantification of parasites had been a laborious task providing inaccurate results due to technical problems. These problems were reduced with development of sensitive PCR-based assays (18), which permitted to perform genome wide-search (21, 23).

Table 1.

Genetic control of parasite load in mouse leishmaniasis.

Parasite	Organ	Gene/Locus	References
L. donovani	Spleen	Slc11a1 (weak effect), H2, Lyst	(24, 25)
	Liver	Slc11a1, H2, Ir2	(25–28)
	Bone marrow	H2	(25)
L. mexicana	Spleen	Slc11a1, H2	(29)
	Liver	Slc11a1, H2	(29)
L. infantum	Spleen	Slc11a1, H2	(25)
	Liver	Slc11a1, H2	(25)
	Bone marrow	H2	(25)
L. major	Spleen	Lmr5	(21)
	Skin	Dice1.2	(30)
	Lymph nodes	Lmr20	(21)
L. tropica	Spleen	Ltr3, Ltr6	(23)
	Liver	Ltr2, Ltr4, Ltr8	(23)
	Lymph nodes	Ltr1, Ltr4	(23)

Leishmania species and strains used in described experiments: (21), L. major (LV 561 (MHOM/IL/67/LRC-L137 JERICHO II); (23), L. tropica (MHOM/1999/TR/SU23); (24), L. donovani 2S (MHOM/SD/61/2S); (25), L. infantum, zymodem MON-1, L. donovani L82 (LV9) (MHOM/ET/67/L82); (26), L. donovani L82 (LV9) (MHOM/ET/67/L82); (27), L. donovani L82 (LV9) (MHOM/ET/67/L82); (28), L. donovani, 3S (MHOM/SD/62/3S); (29), L. mexicana (MNYC/B2/62/M379); (30) L. major (WHOM/IR/-/173).

We explored genetic control of parasite load in different organs after L. major infection. This parasite is the predominant causative agent of human cutaneous leishmaniasis in the Old World, in rare cases it can visceralize in an immunocompromised (HIV infected) host (31), but L. major strain (MRHOM/IR/75/ER) was described to visceralize also in an immunocompetent individual (32). Instances of L. major visceralization in non-immunocompromised people may suggest the presence of genetic factors determining extreme forms of high susceptibility to L. major infection. Infection by L. major in mouse is controlled by multiple genes. These multiple genes-loci have been mapped in three different resistant strains—C57BL/10Sn (B10.D2), C57BL/6 and STS—using the susceptible strain BALB/c for mapping in each case (16, 22); in cross with B10.D2 using for infection L. major (strain WHOM/IR/-/173), in crosses with C57BL/6 and STS L. major V121 (the cloned line V121 derived from MHOM/IL/67/Jericho II) and L. major strain (LV 561 (MHOM/IL/67/LRC-L137 JERICHO II), respectively. These experiments revealed 26 Lmr (Leishmania major response) and 5 Lmrq (Leishmania major resistance QTL) loci that determine skin lesion size, splenomegaly, hepatomegaly, cytokine levels in blood serum, eosinophil infiltration into lymphatic nodes, and parasite numbers in different organs (16, 21, 22, 33). Several loci (Lmr4/Lmrq1, Lmr5/Lmrq3, Lmr6/Lmrq4, and Lmr12/Dice1b) detected in crosses with resistant strains STS and B10.D2 overlap, which might indicate in these loci not only general response across different mouse strains, but also general response to different L. major strains.

In the present study, we tested parasite load and dissemination in F₂ hybrids of BALB/c and recombinant congenic mouse strains CcS-9 and CcS-16, infected by L. major LV561. The disease development during previous experiments showed no significant difference between females and males of the CcS-16 strain after infection with L. major (34); however the influence of sex was present in CcS-9 strain (33). These differences determined selection of sex of mice used in the present F₂ hybrid study. The current study aims to provide a first systematic a genome wide search description of the genetic control of parasite load in mammalian organs after L. major infection.

Materials and Methods

Mice

Recombinant congenic (RC) strains of mice of the BALB/c-c-STS/Dem (CcS/Dem) series, containing random distinct segments of 12.5% STS/A (STS) genes on the background of BALB/cHeA (BALB/c) genome (35), exhibit various susceptibility to Leishmania infection and proved to be a powerful tool in research of genetic control of the disease (16, 21, 23, 33, 36, 37). BALB/c is a standard inbred mouse strain, STS is an inbred mouse strain of Swiss origin. The parts of CcS-9 and CcS-16 genomes inherited from the BALB/c or STS parents were defined (35).

At the time of experiments, mice of CcS-9 strain were in the 40 generation of inbreeding, and therefore highly homozygous. F₂ hybrids between CcS-9 and BALB/c (age 11–21 weeks at the time of infection, mean and median age 14.8 and 15 weeks, respectively) were produced at the Institute of Molecular Genetics; 254 F₂ hybrids between BALB/c and CcS-9 comprised 139 females and 115 males. Mice were tested in three independent experimental groups; male and female mice were placed into separate rooms, and males were caged individually.

In CcS-16 experiments, only females were used due to absence of sex differences in previous experiments. Mice of CcS-16 strain were in the generation 37 of inbreeding, and therefore highly homozygous. We produced 577 female F₂ hybrids between CcS-16 and BALB/c (age at the time of infection, 14–17 weeks) and tested them in four independent experiments.

Mice were kept in the animal facility of Institute of Molecular Genetics AS CR.

Parasites

Leishmania major LV 561 (MHOM/IL/67/LRC-L137 JERICHO II) was maintained in rump lesions of BALB/c females. Amastigotes were transformed to promastigotes using SNB-9 (38); 10⁷ promastigotes from 6 days old subculture 2 were inoculated in 50 μl sterile saline s.c. into mouse rump (39).

Disease Phenotype

The size of the primary skin lesions was measured weekly using a Vernier caliper gauge. Mice were euthanized 8 weeks after infection and body, spleen, and liver weights were recorded. The blood, spleen, liver, and inguinal lymph nodes were collected for the further analysis. Splenomegaly (enlargement of the spleen) and hepatomegaly (enlargement of the liver) were calculated as organ-to-body weight ratio × 1000. Parasite load was presented in relative units as concentration of parasite DNA in ng per 1 μl.

Cytokine and IgE Levels

IgE, IL-4, IL-10, IL-12, IL-13, and IFNγ levels in serum were determined using the primary and secondary monoclonal antibodies (IgE: R35-72, R35-118, IL-4: 11B11, BVD6-24G2, IL-10: JES5-2A5, JES5-16E3, IL-12: C15.6, C17.8, IFNγ: R4-6A2, XMG1.2) and standards from Pharmingen (San Diego, CA, USA) (purified mIgE: C38-2, recombinant mouse IL-4, mIL-10, mIL-12 p70 heterodimer, and mIFNγ). The enzyme-linked immunosorbent assay (ELISA) was performed as recommended by Pharmingen. IL-13 level in serum were determined using the Murine IL-13 ELISA Development Kit 900-K207 (by PeproTech EC (London, United Kingdom), which contained both primary and secondary monoclonal antibodies and standard and the ELISA was performed as recommended by PeproTech EC. The IL-4, IL-10, IL-12, IL-13, IFNγ, and IgE levels were estimated using the curve fitter program KIM-E (Schoeller Pharma, Prague, Czech Republic).

Genotyping of F₂ Hybrids

The frozen archive material of F₂ crosses genotyped in previous mapping experiments (33, 40) was used for measurement of parasite DNA and analysis of genetic linkage.

In CcS-9 experiment, STS derived segments were typed in F₂ hybrids using 19 microsatellite markers on eight chromosomes: D2Mit148, D2Mit283, D4Mit7, D4Mit17, D4Mit23, D4Mit53, D4Mit172, D5Mit24, D5Mit143, D6Mit122, D6Mit274, D9Mit15, D11Mit141, D11Mit242, D11Nds10, D11Nds18, D16Mit19, D17Mit120, and D17Mit122 as described elsewhere (33).

In CcS-16 experiment, the segments of STS origin on 9 chromosomes were typed in F₂ hybrids using 23 markers: D2Mit51, D2Mit102, D2Mit156, D2Mit283, D2Mit389, D2Nds3, D3Mit11, D3Mit25, D4Mit153, D6Mit48, D6Mit320, D10Mit67, D10Mit103, D11Mit37, D11Mit139, D11Mit242, D16Mit126, D17Mit38, D17Mit130, D18Mit35, D18Mit40, D18Mit49, and D18Mit120 as described in Vladimirov et al. (40).

Measurement of Parasite Load in Organs

Total DNA was isolated from frozen lymph nodes, spleen, and liver samples, and parasite load was measured using PCR-ELISA according to the previously published protocol (41). Briefly, total DNA was isolated using a standard proteinase procedure (42). For detection of Leishmania parasite DNA in total DNA, PCR was performed using two primers (digoxigenin-labeled F 5′-ATT TTA CAC CAA CCC CCA GTT-3′ and biotin-labeled R 5′-GTG GGG GAG GGG CGT TCT-3′ (VBC Genomics Biosciences Research, Austria). The 120-bp fragment within the conserved region of the kinetoplast minicircle of Leishmania parasite was amplified. In each PCR reaction, 50 ng of extracted total DNA was used. As a positive control, 20 ng of L. major DNA per reaction was amplified as a highest concentration of the standard. In CcS-9 experiment, 26-cycle PCR reaction was used for quantification of parasites in lymph nodes and spleen, and 35 cycles for liver. In CcS-16 experiment, 24-cycle PCR reaction was used for quantification of parasites in lymph nodes; 28 cycles for spleen, and 33 cycles for liver. Parasite load was determined by measurement of the PCR product with the modified ELISA protocol (Pharmingen, San Diego, USA). Concentration of Leishmania DNA was measured at the ELISA Reader Tecan with the curve fitter program KIM-E (Schoeller Pharma, Prague, Czech Republic) using least squares-based linear regression analysis (21, 41).

Statistical Analysis

The role of genetic factors in control of parasite dissemination was estimated with ANOVA using Statistical for Windows 12.0 (StatSoft, Inc., Tulsa, OK, USA). Markers and interactions with P < 0.05 were combined in a single comparison. Genotype (marker), sex and age were fixed factors and the experiment was random factor. The time course of skin lesion development was evaluated on the basis of weekly measurements of lesion size in each mouse in weeks 4–8 after infection. Variance components and mixed model ANOVA of Statistica for Windows 12.0 (StatSoft, Inc., Tulsa, OK, USA) with marker as the fixed variable and the week of observation as the covariate have been used to evaluate the linkage.

When necessary, the original values of an analyzed parameter were transformed for normalization of the distribution as described in the legends to the Tables. For whole genome significance values (corrected P-values), the observed P-values (αT) were adjusted using the following formula (43):

$$\begin{array}{l}\alpha {\text{T}}^{*}\approx \left[\text{C}+2\rho \text{Gh}(\text{T})\right]\alpha \text{T}\end{array}$$

In the present formula, G = 1.75 Morgan (the length of the segregating part of the genome: 12.5% of 14 M); C = 8 (number of chromosomes segregating in cross between CcS-9 and BALB/c) or C = 9 (between CcS-16 and BALB/c); ρ = 1.5 for F₂ hybrids; h(T) = the observed statistic (F ratio).

The percent of the phenotypic variance explained by a certain locus or an interaction between loci was calculated subtracting the sums of squares of the model without this variable from the sum of squares of the full model and this difference, divided by the total regression sums of squares:

$$\begin{array}{l}\frac{(\text{SS}(\text{b1},\text{b2},\text{b3},\text{b4|b0}))-(\text{SS}(\text{b1},\text{b2},\text{b3},\text{b4},\text{b5|b0}))}{(\text{RSS}(\text{b1},\text{b2},\text{b3},\text{b4},\text{b5|b0})}\end{array}$$

Results

The present studies revealed two novel Lmr loci, new functions of six previously mapped Lmr loci and described multiple and heterogeneous genetic effects influencing parasite dissemination into the host organism. Because the STS-derived regions in CcS-9 and CcS-16 are different, we detected in their respective F₂ hybrids with BALB/c different loci controlling parasite load.

The CcS-9 Strain: Two Novel Lmr Loci, Multiple Interactions, and Sex Dependent Control of Parasite Load

In F₂ hybrids prepared from the parental strain BALB/c and the RC strain CcS-9, the analysis of parasite load in inguinal lymph nodes, spleen and liver followed by linkage analysis, revealed both main effect loci and interactions of genes located on chromosomes 2, 4, 5, 6, 11, and 17. Two novel Lmr loci, Lmr24, and Lmr27 were detected in the CcS-9 experiments (Figure 1).

Figure 1.

Positions of the loci controlling parasite load in organs of the RC strain CcS-9. The regions derived from the BALB/c strain are indicated as white; the regions of the STS origin are indicated as black; and the areas of undetermined origin are gray. Only the markers that determine the boundaries between BALB/c and STS-derived segments, and the markers used for statistical calculations are shown. Boxes indicate the markers that exhibited significant P-values, corrected for genome-wide search. The genes that participate in the infection-related immune processes (16, 17, 20, 22, 33) and are located within the present Lmr loci are listed next to their positions at the chromosomes. Abbreviations indicate genes related to the response to Leishmania ssp.: Hck, hemopoietic cell kinase; Aco1, aconitase 1; Ccl21a, chemokine (C-C motif) ligand 21A (serine); Ccl21b, chemokine (C-C motif) ligand 21B (leucine), Tlr4, toll-like receptor 4; Npy, neuropeptide Y; Ppp2ca, protein phosphatase 2, formerly 2A; catalytic subunit, alpha isoform; Il3, interleukin 3; Il4, interleukin 4; Il13, interleukin 13; Irf1, interferon regulatory factor 1; Csf2, colony stimulating factor 2 (granulocyte-macrophage); Nlrp3, NLR family, pyrin domain containing 3; Flii, flightless I actin binding protein; Trp53, transformation related protein 53; Cd68, CD68 antigen; Tgif1, TGFB-induced factor homeobox 1.

Both in males and females, a homozygous STS allele (SS) at the Lmr14 linked to the marker D2Mit283 determined the highest parasite load in inguinal lymph nodes interacting with homozygous STS alleles (SS) of the Lmr25 linked to D5Mit143 (corrected P = 0.0314, 2.1% of variance explained), and also with the Lmr24 linked to D4Mit172 (corrected P = 0.0247, 2% of variance explained) (Table 2).

Table 2.

Interactions that control parasite load in lymph nodes of CcS-9 derived F₂ hybrids of both sexes.

Lymph nodes		D5Mit143 (Lmr25)
		CC			CS			SS			P-value	corr. P	% of explained variance
D2Mit283 (Lmr14)	CC	n = 20	2.34	5.45 ± 0.22	n = 21	1.33	4.89 ± 0.21	n = 18	1.20	4.79 ± 0.23	0.00044	0.0314	2.1
	CS	n = 31	1.03	4.64 ± 0.19	n = 57	2.19	5.39 ± 0.13	n = 30	1.93	5.27 ± 0.18
	SS	n = 24	1.09	4.69 ± 0.20	n = 32	1.60	5.08 ± 0.17	n = 20	2.26	5.42 ± 0.21
Lymph nodes		D2Mit283 (Lmr14)
		CC			CS			SS			P-value	corr. P	% of explained variance
D4Mit172 (Lmr24)	CC	n = 15	1.25	4.83 ± 0.27	n = 22	1.78	5.18 ± 0.21	n = 16	1.70	5.14 ± 0.24	0.00034	0.0247	2.0
	CS	n = 28	1.47	4.99 ± 0.18	n = 59	2.05	5.32 ± 0.12	n = 36	1.01	4.61 ± 0.17
	SS	n = 16	2.03	5.31 ± 0.23	n = 37	1.20	4.79 ± 0.18	n = 24	2.29	5.43 ± 0.20

Means, standard error of mean (SE) and P-values were calculated by analysis of variance. The letters C and S indicate the BALB/c or STS allele, respectively; n indicates the number of mice in each group. Transformed means ± SE are shown next to non-transformed mean values in bold. The values of concentration of parasite DNA (ng/ml) in total DNA isolated from lymph nodes were transformed to obtain normal distribution: a natural logarithm of (value × 100). Only P-values significant after correction for genome-wide significance are shown.

Genetic control of parasite load in lymph nodes was strongly dependent on sex (Tables 3, 4): in interactions of sex with markers D11Nds10, D11Nds18, D11Mit141, D2Mit148, D17Mit122 - P < 10^∧(−30); D11Nds10 and D17Mit122, as well as D6Mit122 and D17Mit122 - P < 10^(∧−30). In females, the highest parasite load in lymph nodes were observed in mice homozygous for BALB/c (CC) allele in the Lmr15 linked to D11Nds10 (corrected P = 0.000696, 7.42% of variance explained) (Table 3A). In males, a homozygous STS allele (SS) of the Lmr14 linked to D2Mit148 (corrected P = 0.031, 10.5% of variance explained), and the novel locus Lmr27 linked to D17Mit122 (corrected P = 0.012, 15.3% of variance explained) determined higher parasite load in inguinal lymph nodes (Table 3B). Homozygotes in SS allele on the novel locus Lmr27 linked to D17Mit122 determined the highest parasite load in males in two interactions: with CC allele of the Lmr4 linked to D6Mit122 (corrected P = 0.00427, 7.4% of variance explained), and CS allele on the Lmr15 linked to D11Nds10 (corrected P = 0.0261, 6% of variance explained), respectively (Table 4).

Table 3A.

The Lmr15 controls parasite load in lymph nodes of CcS-9 derived females.

Lymph nodes	CC			CS			SS
Marker	n	Mean	Transformed mean ± SE	n	Mean	Transformed mean ± SE	n	Mean	Transformed mean ± SE	P-value	corr. P	% of Explained variance
D11Mit141 (Lmr15) both sexes	56	2.14	5.37 ± 0.15	127	1.56	5.05 ± 0.10	70	1.11	4.71 ± 0.13	0.00419	0.157	2.56
D11Mit141 (Lmr15) females	36	1.44	4.97 ± 0.17	69	1.02	4.62 ± 0.13	33	0.45	3.80 ± 0.18	0.000014	0.00102	6.38
D11Mit141 (Lmr15) males	20	3.18	5.76 ± 0.23	58	3.58	5.88 ± 0.14	37	2.99	5.70 ± 0.17	0.695	6.890	0.29
D11Nds10 (Lmr15) both sexes	58	2.22	5.40 ± 0.16	129	1.54	5.03 ± 0.09	66	1.13	4.73 ± 0.13	0.00395	0.149	3.01
D11Nds10 (Lmr15) females	36	1.58	5.06 ± 0.18	70	0.99	4.60 ± 0.13	32	0.45	3.80 ± 0.18	0.0000092	0.000696	7.42
D11Nds10 males	22	3.12	5.74 ± 0.26	59	3.11	5.74 ± 0.15	34	3.37	5.82 ± 0.19	0.935	7.811	2.5
D11Nds18 (Lmr15) both sexes	51	1.67	5.12 ± 0.16	136	1.79	5.19 ± 0.08	66	1.08	4.69 ± 0.12	0.00281	0.112	2.95
D11Nds18 (Lmr15) females	33	1.21	4.80 ± 0.16	73	0.97	4.58 ± 0.11	32	0.50	3.91 ± 0.16	0.00018	0.0101	4.2
D11Nds18 (Lmr15) males	18	1.86	5.23 ± 0.37	63	2.61	5.56 ± 0.19	34	4.13	6.02 ± 0.2	0.000175	0.0106	16.7

Means, standard error of mean (SE) and P-values were calculated by analysis of variance. The numbers in bold give the average non-transformed values. The letters C and S indicate the BALB/c or STS allele, respectively; n indicates the number of mice in each group. The values of concentration of parasite DNA (ng/ml) in total DNA isolated from lymph nodes were transformed to obtain normal distribution: a natural logarithm of (value × 100). Only P-values significant after correction for genome-wide significance are shown.

Table 4.

Interactions that control parasite load in lymph nodes of CcS-9 derived males.

Lymph nodes		D11Nds10 (Lmr15)
		CC			CS			SS			P value	corr. P	% of explained variance
D17Mit122 (Lmr27)	CC	n = 7	2.50	5.52 ± 0.31	n = 12	3.22	5.77 ± 0.24	n = 13	5.06	6.23 ± 0.23	0.000339	0.0261	6.0
	CS	n = 11	3.97	5.98 ± 0.25	n = 37	2.92	5.68 ± 0.14	n = 17	2.00	5.30 ± 0.20
	SS	n = 4	4.68	6.15 ± 0.41	n = 10	52.10	8.56 ± 0.26	n = 4	15.53	7.35 ± 0.41
Lymph nodes		D6Mit122 (Lmr4)
		CC			CS			SS			P-value	corr. P	% of explained variance
D17Mit122 (Lmr27)	CC	n = 10	5.21	6.26 ± 0.26	n = 13	2.76	5.62 ± 0.23	n = 9	2.84	5.65 ± 0.23	0.0000467	0.00427	7.4
	CS	n = 17	2.35	5.46 ± 0.20	n = 35	4.26	6.05 ± 0.14	n = 13	2.31	5.44 ± 0.20
	SS	n = 5	73.38	8.90 ± 0.37	n = 9	5.65	6.34 ± 0.28	n = 4	9.13	6.82 ± 0.41

Means, standard error of mean (SE) and P-values were calculated by analysis of variance. The letters C and S indicate the BALB/c or STS allele, respectively; n indicates the number of mice in each group. Transformed means ± SE are shown next to non-transformed mean values in bold. The values of concentration of parasite DNA (ng/ml) in total DNA isolated from lymph nodes were transformed to obtain normal distribution: a natural logarithm of (value × 100). Only P-values significant after correction for genome-wide significance are shown.

Table 3B.

The Lmr14 and Lmr27 control parasite load in lymph nodes of CcS-9 derived males.

Lymph nodes	CC			CS			SS
Marker	n	Mean	Transformed mean ± SE	n	Mean	Transformed mean ± SE	n	Mean	Transformed mean ± SE	P value	corr. P	% of explained variance
D2Mit148 (Lmr14) both sexes	78	1.72	5.15 ± 0.13	121	1.61	5.08 ± 0.11	54	1.68	5.13 ± 0.15	0.908	7.725	0.93
D2Mit148 (Lmr14) females	43	0.83	4.41 ± 0.14	69	0. 89	4.49 ± 0.12	26	0. 67	4.20 ± 0.18	0.411	5.220	0.39
D2Mit148 (Lmr14) males	35	3.04	5.72 ± 0.19	52	3.11	5.74 ± 0.14	28	16.20	7.39 ± 0.39	0.000616	0.03095	10.5
D17Mit122 (Lmr27) both sexes	74	1.61	5.08 ± 0.12	142	1.42	4.96 ± 0.10	37	2.04	5.32 ± 0.19	0.209	3.399	2.28
D17Mit122 (Lmr27) females	42	0.89	4.49 ± 0.15	77	0.77	4.35 ± 0.11	19	0.89	4.48 ± 0.21	0.678	6.813	0.17
D17Mit122 (Lmr27) males	32	3.44	5.84 ± 0.18	65	2.84	5.65 ± 0.13	18	15.56	7.35 ± 0.36	0.000206	0.0118	15.3

Means, standard error of mean (SE) and P-values were calculated by analysis of variance. The numbers in bold give the average non-transformed values. The letters C and S indicate the BALB/c or STS allele, respectively; n indicates the number of mice in each group. The values of concentration of parasite DNA (ng/ml) in total DNA isolated from lymph nodes were transformed to obtain normal distribution: a natural logarithm of (value × 100). Only P-values significant after correction for genome-wide significance are shown.

No sex differences were detected in control of parasite load in liver. Parasite load in liver were therefore calculated for total group (both males and females), and revealed the effect of the CC allele on Lmr15 linked to D11Mit141 (corrected P = 0.0037, 8.6% of variance explained) and D11Nds10 (corrected P = 0.0011, 9.6% of variance explained) in control of higher parasite burden (Table 5). Parasites load in liver was also controlled by an interaction between the novel locus Lmr27 linked to D17Mit120 and Lmr14 linked to D2Mit283 (corrected P = 0.0184, 6.9% of variance explained) (Table 6) and by an interaction of Lmr27 linked to D17Mit122 with Lmr25 linked to D5Mit143 (suggestive linkage; corrected P = 0.0640, 6.2% of variance explained). Lowest parasite load are linked with the interaction of homozygotes in STS (SS) allele at Lmr25 with the homozygotes in BALB/c (CC) allele at Lmr27.

Table 5.

The Lmr15 controls parasite load in liver of CcS-9 derived F₂ hybrids of both sexes.

Liver	CC			CS			SS
Marker	n	Mean	Transformed mean ± SE	n	Mean	Transformed mean ± SE	n	Mean	Transformed mean ± SE	P-value	corr. P	% of explained variance
D11Mit141 (Lmr15)	56	3.43	5.84 ± 0.11	128	2.90	5.67 ± 0.07	69	1.87	5.23 ± 0.10	0.000061	0.00373	8.6
D11Nds10 (Lmr15)	58	3.36	5.82 ± 0.12	130	3.06	5.72 ± 0.08	65	1.87	5.23 ± 0.10	0.000015	0.00106	9.6

Means, standard error of mean (SE) and P-values were calculated by analysis of variance. The numbers in bold give the average non-transformed values. The letters C and S indicate the BALB/c or STS allele, respectively; n indicates the number of mice in each group. The values of concentration of parasite DNA (ng/ml) in total DNA isolated from liver were transformed to obtain normal distribution: a natural logarithm of (value × 100). Only P-values significant after correction for genome-wide significance are shown.

Table 6.

Interactions that control parasite load in liver of CcS-9 derived F₂ hybrids of both sexes.

Liver		D2Mit283 (Lmr14)
		CC			CS			SS			P value	corr. P	% of explained variance
D17Mit120 (Lmr27)	CC	n = 17	1.99	5.29 ± 0.19	n = 29	2.75	5.62 ± 0.15	n = 27	3.29	5.80 ± 0.15
	CS	n = 31	3.56	5.87 ± 0.14	n = 63	3.08	5.73 ± 0.10	n = 44	1.78	5.18 ± 0.12	0.00024	0.0184	6.9
	SS	n = 12	1.91	5.25 ± 0.22	n = 25	2.67	5.59 ± 0.15	n = 5	3.44	5.84 ± 0.35
Liver		D5Mit143 (Lmr25)
		CC			CS			SS			P-value	corr. P	% of explained variance
	CC	n = 30	3.17	5.76 ± 0.13	n = 28	3.93	5.97 ± 0.14	n = 16	1.57	5.05 ± 0.19
D17Mit122 (Lmr27)	CS	n = 36	2.80	5.63 ± 0.13	n = 64	2.98	5.70 ± 0.10	n = 41	2.54	5.54 ± 0.12	0.00096	0.0640	6.2
	SS	n = 9	2.21	5.40 ± 0.26	n = 18	2.02	5.31 ± 0.20	n = 11	3.85	5.95 ± 0.23

Means, standard error of mean (SE) and P-values were calculated by analysis of variance. The letters C and S indicate the BALB/c or STS allele, respectively; n indicates the number of mice in each group. Transformed means ± SE are shown next to non-transformed mean values in bold. The values of concentration of parasite DNA (ng/ml) in total DNA isolated from liver were transformed to obtain normal distribution: a natural logarithm of (value × 100). Only P-values significant after correction for genome-wide significance are shown.

No loci that determine parasite load in spleen were found in F₂ hybrids derived from the CcS-9 strain.

Loci Controlling Organ Pathology and Immune Response in CcS-9

Analysis of different parameters of the disease indicated a novel Lmr locus which controls organ pathology and systemic immune response (Table 7). Lmr24 on chromosome 4 influenced splenomegaly, levels of IFNγ, and IL-4 in serum and development of skin lesions. Control of splenomegaly was linked with the marker D4Mit23 (corrected P = 0.0426, 4.76% of variance explained), skin lesion size (kinetics of development of skin lesions)—with D4Mit172 and D4Mit23 (corrected P = 0.00201 and 0.0226, respectively), level of IFNγ in serum—with D4Mit53 (corrected P = 0.000692, 8.08% of variance explained), and level of IL-4 in serum—with D4Mit53 (corrected P = 0.0132, 5.72% of variance explained). The STS allele of these markers was responsible for lower level of IFNγ and IL-4 in serum, but with larger splenomegaly and larger skin lesions.

Table 7.

Loci controlling organ pathology and immunological parameters in Leishmania major-infected F2 hybrids between CcS-9 and BALB/c.

Phenotype	Locus	Marker	Genotype						P-value	corr. P	% of explained variance
			CC		CS		SS
Splenomegaly	Lmr15	D11Mit141	17.86 ± 0.74 (n = 56)		17.29 ± 0.42 (n = 128)		14.86 ± 0.57 (n = 70)		0.00066	0.0313	9.16
		D11Nds10	18.07 ± 0.73 (n = 58)		17.18 ± 0.42 (n = 130)		14.77 ± 0.59 (n = 66)		0.00047	0.0235	11.80
	Lmr24	D4Mit23	15.71 ± 0.64 (n = 57)		15.83 ± 0.45 (n = 122)		18.17 ± 0.54 (n = 75)		0.00093	0.0426	4.76
Hepatomegaly	Lmr15	D11Nds18	64.02 ± 1.03 (n = 51)		63.05 ± 0.60 (n = 136)		58.50 ± 0.90 (n = 66)		0.000029	0.00191	9.76
Lesion size (in 7th week after infection)	Lmr15	D11Mit141	83.68 ± 4.92 (n = 56)		69.72 ± 3.00 (n = 128)		55.68 ± 4.23 (n = 70)		0.000095	0.00555	8.64
		D11Mit242	84.81 ± 5.00 (n = 51)		69.18 ± 2.85 (n = 139)		56.23 ± 4.00 (n = 64)		0.000044	0.00274	7.55
		D11Nds18	90.07 ± 5.55 (n = 51)		69.47 ± 2.88 (n = 137)		55.87 ± 3.93 (n = 66)		0.0000035	0.000269	10.06
		D11Nds10	86.07 ± 4.64 (n = 58)		68.63 ± 2.91 (n = 130)		55.25 ± 4.36 (n = 66)		0.000010	0.000722	12.04
Lesion size (in 8th week after infection)	Lmr15	D11Nds10	101.56 ± 5.62 (n = 58)		88.47 ± 3.25 (n = 130)		73.30 ± 4.95 (n = 66)		0.00058	0.0282	9.37
		D11Nds18	100.93 ± 5.11 (n = 51)		87.94 ± 3.18 (n = 137)		76.31 ± 4.36 (n = 66)		0.00093	0.0424	4.21
Lesion size (kinetics)	Lmr15	D11Nds18	32.77	5.72 ± 0.13 (n = 51)	28.37	5.33 ± 0.08 (n = 137)	25.54	5.05 ± 0.11 (n = 66)	0.00060	0.0282	–
		D11Nds10	31.33	5.60 ± 0.12 (n = 58)	29.09	5.39 ± 0.08 (n = 130)	24.91	4.99 ± 0.11 (n = 66)	0.00090	0.0406	–
	Lmr24	D4Mit172	27.19	5.21 ± 0.13 (n = 53)	26.40	5.14 ± 0.08 (n = 124)	32.92	5.74 ± 0.11 (n = 77)	0.000032	0.00201	–
		D4Mit23	26.97	5.19 ± 0.12 (n = 57)	26.87	5.18 ± 0.08 (n = 122)	32.38	5.69 ± 0.11 (n = 75)	0.00047	0.0226	–
Level of IgE in serum	Lmr15	D11Mit141	35.09	3.12 ± 0.10 (n = 56)	25.26	2.81 ± 0.07 (n = 127)	15.29	2.39 ± 0.09 (n = 70)	0.00000052	0.0000460	10.93
		D11Mit242	33.89	3.09 ± 0.11 (n = 51)	25.78	2.83 ± 0.07 (n = 138)	17.70	2.51 ± 0.10 (n = 64)	0.00028	0.0148	6.23
		D11Nds10	36.94	3.17 ± 0.11 (n = 58)	25.96	2.84 ± 0.07 (n = 129)	13.72	2.31 ± 0.11 (n = 66)	0.00000013	0.0000129	13.00
Level of INFγ in serum	Lmr24	D4Mit53	13.20	2.81 ± 0.14 (n = 59)	5.93	2.04 ± 0.09 (n = 120)	6.58	2.12 ± 0.12 (n = 74)	0.0000097	0.000692	8.08
Level of IL-4 in serum	Lmr24	D4Mit53	1.79	0.47 ± 0.06 (n = 59)	1.20	0.17 ± 0.05 (n = 120)	1.26	0.21 ± 0.06 (n = 74)	0.00025	0.0132	5.72
		D11Nds10	1.65	0.42 ± 0.07 (n = 58)	1.48	0.34 ± 0.04 (n = 129)	1.10	0.09 ± 0.06 (n = 66)	0.00046	0.0230	6.73
Level of IL-13 in serum	Lmr14	D2Mit283	518.66	22.77 ± 1.18 (n = 44)	551.08	23.48 ± 0.84 (n = 82)	830.30	28.81 ± 1.24 (n = 57)	0.00027	0.0146	10.76

Only linkages significant at whole genome level are given. In order to obtain normal distribution required for analysis of variance, the following transformations were used: lesion size (mm²)—power of 0.5; IgE in serum (μg/ml)—power of 0.32; IFN-γ in serum (ng/ml)—power of 0.4; IL-4 in serum (ng/ml)—Box-Cox transformation: [(x^∧(−0.720642))−1]/(−0.720642), IL-13 in serum (pg/ml)—power of 0.5. The numbers in bold give the average non-transformed values. C and S indicate the presence of BALB/c and STS allele, respectively; n indicates number of mice.

In addition to the novel locus, we detected new functions of previously mapped loci (Table 7). Lmr14 was detected in F₂ hybrids between CcS-16 and BALB/c. It was previously shown that it controlled hepatomegaly, splenomegaly, level of IgE and IFNγ in serum, and also infiltration of eosinophils to inguinal lymph nodes (33, 40, 44, 45). The present study revealed the role of Lmr14 (marker D2Mit283) in control of level of IL-13 in serum (corrected P = 0.0146, 10.76% of variance explained). The STS allele of this marker was linked with higher level of IL-13 in serum. Lmr15 was detected in F₂ hybrids between CcS-16 and BALB/c and it influences hepatomegaly, IFNγ level in serum and infiltration of eosinophils in inguinal lymph nodes (33, 40, 45). The present study revealed several additional effects of Lmr15: control of splenomegaly (markers D11Mit141 and D11Nds10, corrected P = 0.0313 and 0.0235, respectively, 9.16 and 11.80% of variance explained), lesion size in week 8 after infection (markers D11Nds10 and D11Nds18, corrected P = 0.0282 and 0.0424, respectively, 9.37 and 4.21% of variance explained), kinetics of development of skin lesions (markers D11Nds18 and D11Nds10, corrected P = 0.0282 and 0.0406, respectively) and level of IgE in serum (markers D11Mit141, D11Mit242, and D11Nds10, corrected P = 0.0000460, 0.0148 and 0.0000129, respectively, 10.93, 6.23, and 13.00% of variance explained). The STS allele of these markers was linked with lower level of IgE in serum and smaller splenomegaly and skin lesions.

In addition, we detected two interactions between loci which control different parameters of the infection (Table 8). Interaction between markers D11Nds10 (Lmr15) and D16Mit19 (Lmr18) controlled lesion size in 7th week after infection. BALB/c homozygosity at Lmr15 synergizes with BALB/c homozygosity at Lmr18 in enlarging size of skin lesions (corrected P = 0.044, 6.71% of variance explained). Interaction between marker D4Mit53 (Lmr24) and D6Mit122 (Lmr4) controlled level of IL-10 in serum. STS homozygosity at Lmr24 synergized with STS homozygosity at Lmr4 in increasing of level of IL-10 in serum (corrected P = 0.0156, 9.61% of variance explained. The control of organ pathology and immune response in CcS-9 was not sex dependent.

Table 8.

Interactions between loci that control lesion size and level of IL-10 in serum in Leishmania major-infected F₂ hybrids between CcS-9 and BALB/c.

Lesion size in 7th week after infection		D16Mit19 (Lmr18)
		CC			CS			SS			P-value	corr. P	% of explained variance
D11Nds10 (Lmr15)	CC	n = 99	111.45 ± 10.05	n = 30	73.89 ± 5.61	n = 19	66.25 ± 6.88	0.00064	0.044	6.71
	CS	n = 32	59.48 ± 5.32	n = 66	68.33 ± 3.75	n = 32	76.07 ± 5.40
	SS	n = 20	63.07 ± 6.80	n = 36	55.56 ± 5.13	n = 10	51.56 ± 9.47
Level of IL-10 in serum		D4Mit53 (Lmr24)
		CC			CS			SS			P value	corr. P	% of explained variance
D6Mit122 (Lmr4)	CC	n = 11	1.52	0.32 ± 0.03	n = 24	2.10	0.47 ± 0.02	n = 15	2.01	0.45 ± 0.02	0.00020	0.0156	9.61
	CS	n = 27	2.12	0.47 ± 0.02	n = 44	1.94	0.43 ± 0.01	n = 31	1.92	0.43 ± 0.02
	SS	n = 10	1.87	0.42 ± 0.03	n = 20	1.93	0.43 ± 0.02	n = 15	2.15	0.47 ± 0.02

In order to obtain normal distribution required for analysis of variance, the following transformation was used for level of IL-10 in serum (ng/ml) – [(x^∧(−1.372544)]-1)/(−1.372544). C and S indicate the presence of BALB/c and STS allele, respectively; n indicates number of mice. Bold: non-transformed values.

The CcS-16 Strain: One Novel Lmr Locus Confirmed, Control of Parasite Load Detected for Two Additional Loci

Only female mice were used in the study with F₂ hybrids between the BALB/c parental mouse strain and the RC strain CcS-16, because previous analysis of response to L. major in different RC strains (34) showed no significant dependence on sex in CcS-16 mice (in contrast to the strain CcS-9 described above). We confirmed a presence of a novel parasite controlling cluster Lmr4 (Figures 1, 2; Table 9) on chromosome 6, which influences parasite load in lymph nodes. A homozygous BALB/c (CC) allele in the Lmr4 linked to D6Mit48 was responsible for higher parasite load (corrected P = 0.017, 4.95% of variance explained) (Table 9). The effect of Lmr13 at the chromosome 18 linked to D18Mit40 on parasite load in liver was opposite to that of Lmr4: the STS allele (SS) was responsible for higher parasite load (corrected P = 0.00056, 10.4% of variance explained) (Table 9). Parasite load in liver controls also an interaction between Lmr14 linked to D2Nds3 with Lmr13 linked to D18Mit120 (suggestive linkage, corrected P = 0.0777, 4.8% of explained variance) (Table 10). Two genotype combinations determine highest parasite load: STS (SS) homozygotes in Lmr13 with BALB/c (CC) homozygotes in Lmr14, and STS (SS) homozygotes in Lmr14 with BALB/c (CC) homozygotes in Lmr13. A homozygous STS allele of Lmr13 linked to the markers D18Mit35 (corrected P = 0.0073, 4.85% of variance explained) and D18Mit120 (corrected P = 0.019, 5.18% of variance explained) determined the higher load of parasites in spleen (Table 9). Parasite load in spleen was also controlled by Lmr13 linked to D18Mit49 in interaction with Lmr11 linked to D3Mit11 (corrected P = 0.0295, 3.4% of variance explained). Highest parasite load was observed in combination of STS (SS) homozygotes in Lmr13 and BALB/c (CC) homozygotes in Lmr11 (Table 10).

Figure 2.

Positions of the loci controlling parasite load in organs of the RC strain CcS-16. The regions derived from the BALB/c strain are indicated as white; the regions of the STS origin are indicated as black; and the areas of undetermined origin are gray. Only the markers that determine the boundaries between BALB/c and STS-derived segments, and the markers used for statistical calculations are shown. Boxes indicate the markers that exhibited significant P-values, corrected for genome-wide search, dotted box—suggestive linkage. The genes that participate in the infection-related immune processes (16, 17, 20, 22, 23) and are located within the present Lmr loci are listed next to their positions at the chromosomes. Abbreviations indicate genes related to the response to Leishmania ssp.: Cd44, CD44 antigen; Dll4, delta like canonical Notch ligand 4; Hdc, histidine decarboxylase; Il1b, interleukin 1 beta; Hck, hemopoietic cell kinase; Mmp9, matrix metallopeptidase 9; Cd40, CD40 antigen; Ptpn1, protein tyrosine phosphatase, non-receptor type 1; Il12a, interleukin 12a; Sec22b, SEC22 homolog B, vesicle trafficking protein; Notch2, notch 2; Vtcn1, V-set domain containing T cell activation inhibitor 1; Cd2, CD2 antigen; Ngf, nerve growth factor; Vcam1, vascular cell adhesion molecule 1; Irf5, interferon regulatory factor 5; Npy, neuropeptide Y; Cd74, CD74 antigen [invariant polypeptide of major histocompatibility complex, class II antigen-associated)], Mbd2, methyl-CpG binding domain protein 2; Smad7, SMAD family member 7.

Table 9.

The Lmr4 controls parasite load in lymph nodes, and Lmr13 controls parasite load in liver and spleen of CcS-16 derived F₂ hybrids.

	CC			CS			SS
Marker	n	Mean	Transformed mean ± SE	n	Mean	Transformed mean ± SE	n	Mean	Transformed mean ± SE	P-value	corr. P	% of explained variance
Lymph nodes
D6Mit48 (Lmr4)	104	1.98	5.29 ± 0.12	230	1.16	4.75 ± 0.09	109	1.12	4.72 ± 0.12	0.00032	0.017	4.95
Liver
D18Mit40 (Lmr13)	92	0.52	3.96 ± 0.12	178	0.43	3.75 ± 0.09	71	1.03	4.63 ± 0.16	0.0000078	0.00056	10.4
Spleen
D18Mit35 (Lmr13)	136	0.52	3.95 ± 0.13	274	0.87	4.46 ± 0.09	133	1.07	4.67 ± 0.12	0.00013	0.0073	4.85
D18Mit120 (Lmr13)	133	0.52	3.95 ± 0.13	284	0.87	4.47 ± 0.09	130	0.99	4.59 ± 0.12	0.00038	0.019	5.18

Means, standard error of mean (SE) and P-values were calculated by analysis of variance. The letters C and S indicate the BALB/c or STS allele, respectively; n indicates the number of mice in each group. The numbers in bold give the average non-transformed values. The values of concentration of parasite DNA (ng/ml) in total DNA isolated from lymph nodes, liver and spleen were transformed to obtain normal distribution: a natural logarithm of a (value *100). Only P-values significant after correction for genome-wide significance are shown.

Table 10.

Interactions that control parasite load in spleen and liver of CcS-16 derived F₂ hybrids.

Spleen		D3Mit11 (Lmr11)
		CC			CS			SS			P-value	corr. P	% of explained variance
D18Mit49 (Lmr13)	CC	n = 27	0.40	3.68 ± 0.25	n = 78	0.93	4.53 ± 0.14	n = 37	0.63	4.14 ± 0.21
	CS	n = 59	0.78	4.35 ± 0.17	n = 175	0.83	4.42 ± 0.10	n = 48	0.84	4.43 ± 0.18	0.00042	0.0295	3.4
	SS	n = 35	1.45	4.98 ± 0.21	n = 53	0.59	4.07 ± 0.17	n = 34	0.99	4.59 ± 0.22
Liver		D2Nds3 (Lmr14)
		CC			CS			SS			P value	corr. P	% of explained variance
	CC	n = 28	0.48	3.87 ± 0.18	n = 37	0.49	3.88 ± 0.15	n = 15	0.80	4.38 ± 0.24
D18Mit120 (Lmr13)	CS	n = 38	0.37	3.61 ± 0.15	n = 99	0.45	3.81 ± 0.10	n = 41	0.53	3.96 ± 0.15	0.0012	0.0777	4.8
	SS	n = 15	0.97	4.58 ± 0.24	n = 41	0.77	4.35 ± 0.15	n = 22	0.37	3.62 ± 0.20

Means, standard error of mean (SE) and P-values were calculated by analysis of variance. The letters C and S indicate the BALB/c or STS allele, respectively; n indicates the number of mice in each group. Transformed means ± SE are shown next to mean non-transformed values in bold. The values of concentration of parasite DNA (ng/ml) in total DNA isolated from spleen and liver were transformed to obtain normal distribution: a natural logarithm of (a value*100). Only P-values significant after correction for genome-wide significance are shown.

Discussion

Parasite load and dissemination in visceral organs of infected host belong to the most important parameters in leishmaniasis. Elucidation of host determinants of parasite control could help to better understand these critical disease mechanisms. We have therefore addressed the following questions: genetic control of parasite load in organs after L. major infection, analysis of relationship among parasite-controlling genes and the genes controlling organ pathology, and role of sex in control of parasite load. We defined two new genetic loci controlling parasite load (Lmr24 and Lmr27) and described that six previously mapped loci (Lmr4, Lmr11, Lmr13, Lmr14, Lmr15, and Lmr25) also control parasite load. This enabled us to show a genetic network controlling interaction between parasite and mammalian host.

Control of Parasite Load in Organs: Multiple Genes and Distinct Organ Specificities That Operate in a Network With Many Gene-Gene Interactions

Visceral leishmaniasis is a life-threatening disease (9, 13) and hence understanding parasite spread to organs is essential. Although many of its host, vector, and parasite determinant have been described (46), the role of the host in control of parasite visceralization remains largely unknown. The importance of host determinants that can limit leishmaniasis to a cutaneous form or allow progressive visceral pathology is stressed by the observation that even though L. major causes mostly only cutaneous pathology in human, cases of visceralization are also known (31, 32). We have therefore studied parasite load after L. major infection in three organs: lymph nodes, spleen and liver, and found that parasite load in each tested organ is controlled by multiple genes. In this work, we report six loci (Lmr4, Lmr14, Lmr15, Lmr24, Lmr25, and Lmr27) that control parasite load in lymph nodes of the strains CcS-9 and CcS-16 (Table 11). Lmr4, Lmr14, and Lmr15 can operate independently from other genes (main effect loci), whereas Lmr24, Lmr25, and Lmr27 operate only in interaction with other loci (Figure 3). Previously, we described another locus, Lmr20, which influences parasite load in lymph nodes of the strain CcS-11 (21).

Table 11A.

Summary of loci that control parasite load detected in CcS-9 study.

Chr.	Lmr loci	Markers	Sex	Parasite control in organ	Response to parasite
2	Lmr14	D2Mit148			IL-13 in serum
		D2Mit283	M	Lymph nodes	Eosinophils in lymph nodes**#
2 and 4	Interaction, Lmr14 and Lmr24	D2Mit283		Lymph nodes
		D4Mit172
2 and 5	Interaction, Lmr14 and Lmr25	D2Mit283		Lymph nodes
		D5Mit143
2 and 17	Interaction, Lmr14 and Lmr27	D2Mit283		Liver
		D17Mit120
4	Lmr24	D4Mit23			Skin lesion Splenomegaly IL-4, IFNγ in serum
		D4Mit53
		D4Mit172
4 and 6	Interaction, Lmr4 and Lmr24	D4Mit53			IL-10 in serum
		D6Mit122
5	Lmr25	D5Mit143			Eosinophils in lymph nodes***
5 and 17	Interaction, Lmr25 and Lmr27	D5Mit143		Liver*
		D17Mit122
6 and 17	Interaction, Lmr4 and Lmr27	D6Mit122	M	Lymph nodes
		D17Mit122
9	Interaction, Lmr15 and Lmr26	D9Mit15 D11Nds10	M		Eosinophils in lymph nodes***
11	Lmr15	D11Nds18 D11Nds10 D11Mit141		Liver	Skin lesion Splenomegaly Hepatomegaly IL-4, IgE in serum
			F	Lymph nodes
			M	Lymph nodes
11 and 16	Interaction, Lmr15 and Lmr18	D11Nds10 D16Mit19			Skin lesion
11 and 17	Interaction, Lmr15 and Lmr27	D11Nds10 D17Mit122	M	Lymph nodes
17	Lmr27	D17Mit122	M	Lymph nodes

^*Suggestive linkage.

^**Data from Slapničková et al. (33).

^***Interaction between sex and marker was not significant.

^#Significant only in males from the cross CcS-9 × BALB/c.

Figure 3.

Interactions among loci controlling parasite load after L. major infection. The lines that connect related loci indicate interactions controlling a certain phenotype: parasite load in lymph nodes—blue color, in spleen—green, in liver—purple. Main gene effects of the Lmr13, Lmr14, Lmr15, Lmr28, and Lmr29 are also indicated.

We have found two loci that control parasite load in spleen of the strain CcS-16: Lmr13 and Lmr11 (Table 11B). Lmr13 operates as main effect locus, role of Lmr11 is visible only in interaction with Lmr13 (Tables 9, 10). No locus controlling parasite load in spleen was detected in the strain CcS-9 although spleens of this strain contain parasites (47). This might be caused by the fact that parasite load in spleen in the strain CcS-9 is controlled by multiple weak loci and our experiments lacked the power to detect them. Thus, with the previously detected Lmr5 controlling parasites in spleen in CcS-11 (21), there are three different loci controlling L. major load in spleen. Parasite load in liver is controlled by two main effect loci Lmr13 and Lmr15, operating in the strains CcS-16 and CcS-9, respectively, and three loci Lmr14, Lmr25 (suggestive linkage) and Lmr27 (in the strain CcS-9), whose effect is observed only in interaction.

Table 11B.

Summary of loci that control parasite load and response to infection in CcS-16.

Chr.	Lmr loci	Markers	Parasite control in organ	Immune response
2	Lmr14	D2Mit52 D2Mit102 D2Mit283 D2Mit389 D2MitNds3		Splenomegaly Hepatomegaly Spontaneous proliferation of splenocytes from infected mice IFNγ in serum
2 and 10	Interaction, Lmr5, and Lmr14	D2Mit102 D10Mit103 D2Mit389		IL-12, IgE in serum
2 and 16	Interaction, Lmr12 and Lmr14	D2Mit283 D16Mit126		TNFα in serum
2 and 18	Interaction, Lmr13 and Lmr14	D2Nds3 D18Mit120	Liver*	TNFα in serum
3 and 18	Interaction, Lmr11 and Lmr13	D3Mit11 D18Mit49	Spleen
6	Lmr4	D6Mit48	Lymph nodes
10 and 16	Interaction, Lmr12 and Lmr19	D10Mit65 D16Mit126		Spontaneous proliferation of splenocytes from infected mice
11	Lmr15	D11Mit37 D11Mit 139 D11Mit 242		Hepatomegaly IFNγ in serum
16	Lmr12	D16Mit126		IL-4, IgE in serum
18	Lmr13	D18Mit35 D18Mit40 D18Mit120	Spleen Liver	Lesion size IgE in serum

Table summarizes data from Vladimirov et al. (40), Badalová et al. (44), and Havelková et al. (45) and this study.

^*Suggestive linkage.

Comparison of loci that control parasite burden in organs indicates organ specific control of parasite load, where dissemination of parasites to lymph nodes, spleen and liver were controlled by distinct sets of loci that only partly overlaps (Table 11). Some loci, such as Lmr13, Lmr14, Lmr15, Lmr25, and Lmr27 determined parasite load in two different organs, effects of others were limited to only one organ. Organ specific control was described also in candidate gene based studies of parasite burden after infection with L. donovani, where genes Slc11a1, H2 (25) and Lyst (24) control parasite load in spleen, whereas Slc11a1 (26), H2 (27, 28) and Ir2 (28) determine parasite load in liver. Genome-wide studies with L. tropica infection showed that parasite load in lymph nodes are determined by Ltr1 and Ltr4, in spleen by Ltr3 and Ltr6, and in liver by Ltr2, Ltr4, and Ltr8 (23) (Table 1). On the mechanistic level, organ-specific genetic control might be based on organ-specific immune response to Leishmania parasites (48). Some of the loci that determine parasite load in L. donovani (MHOM/SD/62/3S) and L. tropica (MHOM/1999/TR/SU23) overlap with the Lmr loci: Lmr13 that controls parasite load in liver and spleen co-localize with Ltr8 influencing parasite load in liver (23), Lmr14 (suggestive linkage) influencing in interaction with Lmr13 parasite load in liver overlaps with Ir2 (28) and Ltr2 (23) that control parasite load in liver after infection with L. donovani and L. tropica, respectively. Thus, similarly as H2 or Slc11a1, some parasite-controlling Lmr loci might affect several pathogens, probably reflecting immune responses effective against groups of infectious agents.

Relationship Between Control of Parasite Load, Organ Pathology, and Systemic Immune Response

We assessed relationship between parasite control, organ pathology, and systemic immune response (Table 11) and found a large heterogeneity in effects of controlling loci. Moreover, control of parasite load was linked with control of organ pathology in some loci, but not in others. Some loci, such as Lmr13 and Lmr14 carried by CcS-16, and Lmr15 and Lmr24 carried by CcS-9 controlled both parasite loads in organs, organ pathology and systemic immune response: Lmr13 determined parasite load in spleen and liver, skin lesions (40), IgE in serum (44), TNFα in serum (45); Lmr14 (CcS-16) influenced parasite load in liver (suggestive linkage), splenomegaly, hepatomegaly (40), IgE (44), IFNγ, IL-12, and TNFα in serum, and spontaneous proliferation of splenocytes from infected mice (45); Lmr15 (CcS-9) controlled parasite load in lymph nodes and in liver, infiltration of eosinophils into lymph nodes (33), skin lesions, hepatomegaly, IL-4 and IgE in serum; and Lmr24 controlled parasite load in lymph nodes, skin lesions, splenomegaly and IL-4, IL-10, and IFNγ in serum). Lmr14 carried by CcS-9 determined parasite load in lymph nodes and in liver and systemic immune response (IL-13 in serum), but no organ pathology. Lmr15 carried by CcS-16 did not influence parasite load, but controls hepatomegaly (40) and IFNγ in serum (45). Loci Lmr14 and Lmr15 might represent clusters of genes, their STS-derived segments in CcS-9 and CcS-16 overlap, but are not identical and they controlled different combinations of parameters in these strains (Tables 11A,B). Loci Lmr4, Lmr11, and Lmr27 controlled parasite load in organs, but neither organ pathology nor systemic immune response (Table 11). Locus Lmr25 controls parasite load in lymph nodes, infiltration of eosinophils to the lymph nodes, but no skin or visceral pathology. Locus Lmr18 influences only skin lesions. Lmr26 controls only infiltration of eosinophils to the lymph nodes (33), and locus Lmr5 carried by CcS-16, Lmr12 and Lmr19 control only systemic immune response to L. major (44, 45).

We have observed a discrepancy between genes controlling parasites in organs and genes controlling splenomegaly and hepatomegaly. In the strain CcS-9 parasite load in the liver was controlled by the loci Lmr14, Lmr15, and Lmr27, but only one of them, Lmr15, was involved in control of hepatomegaly. Similarly, in the strain CcS-16, parasite load in liver were controlled by the loci Lmr13 and Lmr14 (suggestive linkage), whereas hepatomegaly is determined by Lmr14 and Lmr15. In the strain CcS-9 we did not detect loci controlling parasite load in spleen (see above); splenomegaly was controlled by loci Lmr15 and Lmr24. In the strain CcS-16 parasite load in spleen was controlled by Lmr11 and Lmr13, but none of these loci was involved in control of splenomegaly, which was determined by Lmr14. The difference between the genes controlling parasite load and spread to an organ and those controlling pathology of this organ reflects the multiple facets of interaction between pathogen and host.

In visceral leishmaniasis, Leishmania amastigotes exist and proliferate in the mononuclear phagocytic system, especially spleen, liver and bone marrow. The response of immune system might lead either to parasite clearance or to unproductive inflammation resulting in organ hyperplasia (48, 49). These processes involve multiple steps that are regulated by different genes. The presented data are the first step in creating genetic model of visceralization, the most important pathology caused by Leishmania parasites, by identification the loci that control invasion of parasites and loci controlling the inflammatory response of the host.

Sex-Dependent Control of Parasite Load

Control of parasite load in inguinal lymph nodes is in many cases sex dependent. In the strain CcS-9, Lmr4, and Lmr27 controlled parasite load in males only; Lmr15 controlled parasite load both in females and males, but with the opposite direction: BALB/c (C) allele is linked with higher parasite load in females and lower parasite load in males. Sex has been found to influence susceptibility to many diseases, including leishmaniasis (50, 51) and genes controlling infections that are sex dependent have been observed with other infectious agents such as viruses (52, 53), bacteria (54), parasites (33, 55), fungi (56), and helminths (57). All the above mentioned loci are localized on autosomal chromosomes and thus are shared by both sexes, but the regulatory genome is sexually dimorphic (58). The regulatory genome includes steroid hormones responsive elements (59), sex-specific micro-RNA (60) and sexually dimorphic DNA methylation patterns, which vary significantly from tissue to tissue (61). Generally, the sex differences have complex functional structure and their explanation requires future molecular identification of the responsible genes.

Further studies are needed to show how these mechanisms influence frequent sex differences in human leishmaniasis. Human epidemiological studies demonstrated that women are less likely to develop leishmaniasis while men tend to be more susceptible (62), although there are exceptions (50, 63). Some epidemiological studies reported no significant sex differences in registered cases of cutaneous leishmaniasis caused by L. tropica (64) and L. major (65) between men and women. However, other studies revealed in male patients a higher incidence of cutaneous leishmaniasis caused by L. major and L. tropica (66, 67), L. major only (68), and also by L. guyanensis (69). Men were also more susceptible to visceral infection caused by L. donovani (70–72), L. infantum (73–76). As an exception to this general trend, the study in Afghanistan found that females developed more lesions and scars after L. tropica infection (77).

Our data do not allow conclusion of influence of sex on parasite load in organs of the strain CcS-16. We tested only females in this strain, because in previous experiments, they did not exhibit sex differences in lesion size (34), however CcS-16 might exhibit sex differences in parasite load.

Conclusions

The present study was focused on the genetic basis of one of the most important parameters of L. major caused leishmaniasis—parasite load in target organs. The study used a hypothesis-free experimental approach and recombinant congenic mouse strains to perform genome wide mapping of a complex system of genes that regulate dissemination of the parasite inside a mammalian organism and form a network-like structure (Figure 3). Host genes controlling L. major revealed a wide variety of heterogeneous effects that included distinct organ-specific control, single-gene effects, gene-gene interactions and sex dependent control. The presented results contribute to the understanding of genetic aspects of leishmaniasis. Mapping of these genes and subsequent identification of prospective candidate genes will allow their functional analysis. In addition, the obtained information allows making focused tests of human orthologous genes for their possible role in leishmaniasis and to elucidate pathogenesis and visceralization in individual patients.

Ethics Statement

The experiments were performed in accordance with the European Union guidelines for work with animals under the Policy of Animal Protection Law (No.246/1992), and also with the regulations of the Ministry of Agriculture of the Czech Republic (No.207/2004). The experiments were approved by the Institutional Animal Care Committee of the Institute of Molecular Genetics AS CR and by Departmental Expert Committee for the Approval of Projects of Experiments on Animals of the Academy of Sciences of the Czech Republic (permissions 12/2002 and 89/2013).

Author Contributions

TK and MČ conceived the study, performed experiments, interpreted the data and wrote the manuscript. VV performed experiments, analyzed the data and contributed to the writing of the manuscript. YS, HH, and MS performed the experiments. PD analyzed the data and contributed to the writing of the manuscript. ML conceived the study, interpreted data and wrote the manuscript. All authors reviewed the manuscript.

Conflict of Interest Statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Glossary

Abbreviations

BALB

(Bagg and Albino) a standard inbred mouse strain

CcS/Dem

BALB/c-c-STS/Dem (recombinant congenic strain)

Dice1.2

determination of interleukin 4 commitment 1b

H2

histocompatibility-2

IL

interleukin

IFNγ

interferon gamma

IgE

immunoglobulin E

Lmr

Leishmania major response

Ltr

Leishmania tropica response

PCR-ELISA

polymerase chain reaction enzyme linked immunosorbent assay

QTL

quantitative trait locus

RC

recombinant congenic

Slc11a1, solute carrier family 11 (proton-coupled divalent metal ion transporters)

member 1

SNB-9

saline-neopeptone-blood-9

STS

an inbred mouse strain of Swiss origin.