Analysis of Microsatellite Length Polymorphism for Clinical Isolates of Candida albicans from Animals

Farzad Katiraee; Neda Kiasat; Anahita Kasmaie; Alireza Salimi; Hojjatollah Shokri

doi:10.5812/jjm-132587

https://doi.org/10.5812/jjm-132587

Analysis of Microsatellite Length Polymorphism for Clinical Isolates of Candida albicans from Animals

authors:

Farzad Katiraee ^{1
, *} , Neda Kiasat ² , Anahita Kasmaie ¹ , Alireza Salimi ¹ , Hojjatollah Shokri ³

1 Department of Pathobiology, Faculty of Veterinary Medicine, University of Tabriz, Tabriz, Iran

2 Department of Medical Mycology, School of Medicine, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran

3 Department of Pathobiology, Faculty of Veterinary Medicine, Amol University of Special Modern Technologies, Amol, Iran

Jundishapur Journal of Microbiology: Vol.15, issue 12; e132587

published online: February 15, 2023

article type: Research Article

received: October 24, 2022

revised: January 23, 2023

accepted: January 24, 2023

how to cite: Katiraee F, Kiasat N, Kasmaie A, Salimi A, Shokri H. Analysis of Microsatellite Length Polymorphism for Clinical Isolates of Candida albicans from Animals. Jundishapur J Microbiol. 2022;15(12):e132587. https://doi.org/10.5812/jjm-132587.

Abstract

Background:

Candida albicans has been shown as the most common species of Candida collected from different animals.

Objectives:

This study aimed to evaluate the genetic diversity and genetic relationships among C. albicans isolates collected from clinical specimens of animals suffering from candidiasis using microsatellite length polymorphism (MLP).

Methods:

We used MLP for a group of 60 C. albicans strains isolated from various animal species (dog: 16, cat: 10, horse: 10, cow: 14, chicken: 10), previously defined as animal clinical isolates. Three loci, including EF3, CDC3, and HIS3, were amplified, and the products ran onto an ABI XL 370 genetic analyzer, and fragment sizes were determined.

Results:

Of the 60 clinical strains illustrated, 49 different genotypes were identified with a discriminatory power index of 0.991. A total of 17 alleles and 26 different combinations were identified for EF3 locus, six alleles and 13 combinations for CDC3 locus, and 17 alleles and 27 combinations for HIS3 locus. The most common genotypes were GP9 (four strains) and GP1 and GP33 (three strains). Wright’s fixation index (F_ST) values were calculated to assess inter-group genetic diversity for all pairwise combinations of the five sub-populations of C. albicans isolated from the different animal hosts. The highest F_ST values related to C. albicans isolated from chicken to three sub-populations of cats (F_ST: 0.1397), cows (F_ST: 0.0639), and horses (F_ST: 0.0585).

Conclusions:

The results indicated a moderate genetic differentiation (0.05 < F_ST < 0.15) between C. albicans strains isolated from cats, cows, and horses as a mammal vs. chickens.

Keywords

Candida albicans Microsatellite Length Polymorphism Genotyping Animals

1. Background

Yeasts that belong to the genus of Candida can be found in the gastrointestinal tract and skin of healthy humans and warm-blooded animals as microbial flora or opportunistic microorganisms (1-3). Candida albicans can cause a wide range of Candida infections known as oral, vulvovaginal, and cutaneous candidiasis (4). Also, C. albicans has been shown as the most common species of Candida collected from different animals, such as dogs, cats, birds, pigs, cows, and horses. In animals, either systemic Candida infections or infections affecting a single organ can occur; for example, gastrointestinal candidiasis in piglets, genital tract infection in the horse, or cutaneous candidiasis (5, 6). In the severely immunocompromised host, for example, in newborn animals or animals receiving broad-spectrum antibiotics, C. albicans can cause high mortality rates for systemic and deep infections (6, 7).

The underlying factors predisposing candidiasis in susceptible animals are similar to humans, in which the disease occurs in newborns, as well as animals with diabetes, cancers, and recipients of corticosteroid and long-term antibiotic therapy (8-10). Although C. albicans is known as an opportunistic pathogen and part of the normal microflora, its transmission from one animal to another is proven, and flocks have been shown to be easily affected by infection transmission (11). Several published reports of candidiasis in animals have already been published (6, 10, 12, 13); however, there is not enough information about the identity and origin of the Candida species and the phylogenetic relatedness of strains from animal hosts in Iran. The animals are likely carriers of Candida disease or potential reservoirs of Candida infection for transmission to humans and animals (5). In other words, there is a risk of infection for human patients with immune deficiency disorders that have direct contact with animals (14). Therefore, we should notice crossover transmission of Candida strains from humans to animals and also from one animal to another. From an epidemiological perspective, investigating and comparing various strains of Candida are crucial in different origins. Molecular epidemiological methods are easily available, but data about the genetic diversity among C. albicans isolates in animals are not available.

Typing methods are appropriate techniques to differentiate between the strains isolated merely one time, as well as the strains capable of causing recurrent infections (15). Fragment length analysis of microsatellite markers, or microsatellite length polymorphism (MLP) is considered a useful technique (same as AFLP, RFLP-PCR, or MLST) for typing of C. albicans (16, 17). The resolving power is associated with the applied microsatellite marker. There are many polymorphic microsatellite loci (ERK1, 2NF1, CCN2, EF3, CDC3, HIS3, CPH2, EFG1, CAI, and CAIII to CAVII) present in the C. albicans genome. The combined markers placed on various chromosomes in the same typing system can result in exact C. albicans strains characterization with MLP analysis (17-19).

2. Objectives

In the present study, MLP typing was used to establish the genetic diversity and genetic relatedness of different genotypes C. albicans for strains isolated from different animals. We evaluated the association between variation of genotypes and animal hosts.

3. Methods

3.1. Clinical Strains of Candida albicans

We examined 60 independent clinical isolates of C. albicans related to different animal samples with candidiasis located in the cities of Tabriz (n = 41), Tehran (n = 17), and Urmia (n = 2) in the diagnostic mycology research laboratory of the Faculty of Veterinary Medicine, University of Tabriz, Iran. Of the 60 clinical isolates, 16 C. albicans strains were collected from the oral mucosa, skin, and vagina of infected dogs; ten isolates were from infected cats, buccal mucosa, and skin. Ten isolates were from the oral mucosa, skin, and vagina from the infected horses; 14 isolates were from cows (cattle) suffering from mastitis; and ten isolates were obtained from chicken (bird) with thrush and diarrhea (Table 1). Minimum inhibitory concentrations (MICs) of the fluconazole were determined by a microdilution method of the M27-A procedure (20). The isolates were cultured into potato dextrose agar (Condalab, Spain), followed by incubation at 30°C for 48 h before DNA extraction.

Table 1.

Demographic Data of Clinical Candida albicans Isolates Collected from Animals with Candidiasis

Animal Source	No. (%)
Dog	16 (26.6)
Cat	10 (16.7)
Cow	14 (23.3)
Horse	10 (16.7)
Chicken	10 (16.7)
City
Tabriz	41 (68.3)
Tehran	17 (28.4)
Urmia	2 (3.3)
Age range	3 months - 10 years
Gender
Male	27 (45)
Female	33 (55)
Predisposing factor
Antibacterial therapy	26 (43.4)
Stress	5 (8.3)
Viral infection	11 (18.3)
None	18 (30)

The physicochemical assay was used to extract DNA (freeze-thawing method and glass beads and a lysis buffer) previously described (4). Optical density (OD) of extracted DNA was read, and 5 μL run in the agarose gel to measure concentration and purification of DNA. All C. albicans isolates examined in this study have been confirmed based on chlamydospore production on corn meal agar (Condalab, Spain) with Tween 80 (1%) (Merck, Germany), its green colony color, and morphology on CHROMagar (Company Paris, France) (4) and carbohydrate assimilation test (Remel Inc., USA). Also, a PCR-RFLP technique using the MspI restriction enzyme to confirm C. albicans was used as previously described (21). The amplifications conducted with MLP primers were specific for C. albicans, since no bands were observed upon amplification of clinical isolates of C. tropicalis, C. glabrata, C. dubliniensis, and C. stellatoidea (19).

3.2. Genotyping of Candida albicans by the Analysis of Microsatellite Markers

There is no database for MLP analysis and the genotypes are determined based on length of loci. Three loci, including EF3 (located on chromosome 5), CDC3 (located on chromosome 1), and HIS3 (located on chromosome 2), were selected for MLP analysis. For amplification, we used a multiplex PCR in a 50 μL reaction volume including 1 × PCR buffer, dNTPs (0.2 mM), MgCl₂ (5 mM), EF3, primers (5 pmol), CDC3 (2 pmol) and HIS3 (2 pmol) primers and Taq Gold polymerase (1.25 U, Applied Biosystems). Microsatellite markers primers were selected for amplification (Table 2), and because of the multiplex reaction and the diploidy of C. albicans in the sets, one primer was tagged using other colors. HEX labeled the sense primer of CDC3, and that of HIS3 was done by NED, whereas the EF3 antisense primer was labeled by FAM (22).

The PCR reaction program was planned as follows: Initial denaturation (95°C/10 min), 30 cycles of 95°C for 30 s, 55°C within 30 s and 72°C for 1 min and the final extension (72°C/20 min). After amplification, the PCR product (2 μL) was mixed with formamide (20 μL) and GeneScan 500 6-carboxytetramethylrhodamine size standards (0.5 μL; Applied Biosystems). After denaturation (95°C/2 min), the samples were located on an ice-based bath, and they were run onto an ABI XL 370 sequence analyzer. Fragment lengths (size bands) were measured by GeneMapper® Software 5 (Applied Biosystems) (19, 22, 23), and each band represented an allele. The combination of determined alleles of three loci (size bands) represented a genotypic profile. The discriminatory power (DP) is the median possibility that the molecular typing method will assign a different type to two unrelated strains randomly sampled in the microbial population of a given taxon. The highest DP is one, indicating that the typing method can discriminate all the strains.

Table 2.

Details of Microsatellite Markers Applied in the Molecular Analysis of Candida albicans

Locus, Chromosome	Gene Product	Primer	Sequence 5’-3’	Dye	Repeat Type	Fragment Size Range
EF3, Chr 5	Elongation factor 3	EF3F	TTTCCTCTTCCTTTCATATAGAA	FAM	TTTC- TTC	119 - 146
EF3, Chr 5	Elongation factor 3	EF3R	GGATTCACTAGCAGCAGACA	FAM	TTTC- TTC	119 - 146
CDC3, Chr 1	Cell division cycle protein	CDC3F	CAGATGATTTTTTGTATGAGAAGAA	HEX	AGTA	109 - 140
CDC3, Chr 1	Cell division cycle protein	CDC3R	CAGTCACAAGATTAAAATGTTCAAG	HEX	AGTA	109 - 140
HIS3, Chr 2	Imidazole glycerol	HIS3F	TGGCAAAAATGATATTCCAA	NED	TTG	147 - 214
HIS3, Chr 2	Imidazole glycerol	HIS3R	TACACTATGCCCCAAACACA	NED	TTG	147 - 214

3.3. Statistical Analysis

The phylogenetic dendrogram and minimum spanning tree algorithms were designed using BioNumerics^TM software (version 7.6, Applied Maths) with a categorical value to define the genetic relatedness between the C. albicans strains. The discriminatory power was determined based on Simpson’s index of diversity (24). For the interpretation of genetic differentiation among the C. albicans populations, F_ST was calculated by the FSTAT software version 2.9.3. The F_ST values of 0.0 - 0.05, 0.05 - 0.15, 0.15 - 0.25, and higher than 0.25 demonstrate little, moderate, great, and genetic differentiation, respectively (25).

4. Results

4.1. Determination of Alleles and Genotypic Profile

The results revealed three to six bands according to the multiplex PCR assay for three microsatellite markers (for each locus, 1 or 2 bands, and for each isolate, 3 to 6 bands) in which each band represented an allele. A total of 17 alleles, as well as 26 various combinations (DP: 0.96), were identified regarding the EF3 gene, six alleles and 13 combinations (DP: 0.89) for the CDC3 gene, and 17 alleles and 27 combinations for the HIS3 gene (DP: 0.96). Heterogeneity was seen between the frequencies of the alleles (Table 1). Based on MLP typing, the 60 isolates tested revealed 49 genotypic profiles (Figure 1). The discriminatory power index was calculated at 0.991. However, the alleles had no normal distribution, and some of the alleles were over-represented. Furthermore, two isolates were homozygous in all three loci since no definitive conclusion was observed concerning their haploidy, so this found homozygous, and other isolates tested were heterozygous, at least in a locus (Table 3). For evaluating microevolution and changing the strains in recurrent candidiasis, in different episodes of disease, and at different times, three canine C. albicans isolates were genotyped that had been isolated from the same animal. The genotypes were identified in two cases. Also, we detected changes in one allele in some strains, which represented microevolution during the course of infection (Table 4).

Figure 1.

Dendrogram (constructed using the BioNumerics^TM software, version 7.6, Applied Maths) shows the genetic relatedness among 60 clinical isolates of Candida albicans using MLP typing (49 genotypes were identified out of 60 C. albicans isolated from animals). S, susceptible; DD, dose dependent; R, resistant; AFT, antifungal test for fluconazole

Table 3.

Features of Microsatellite Marker for 60 Candida albicans Strains Isolated from Animals

Markers	EF3	CDC3	HIS3
Number of alleles	17	6	17
Number of genotypes	26	13	27
Range size (bp)	119 - 146	112 - 140	147 - 214
Diversity index (Based on number of genotypes)	0.96	0.89	0.96

Table 4.

Comparison of three pairs of Candida albicans Isolates from Recurrent Cutaneous Candidiasis Collected at Different Times from the Same Dogs Underlying Alleles Related to Change in C. albicans Genotypes

Animal and Episode	Length (bp) Determined by PCR Analysis
	EF3		CDC3		HIS3
	Allele 1	Allele 2	Allele 1	Allele 2	Allele 1	Allele 2
1
Episode 1	123	129	112	116	149	154
Episode 2	123	129	112	116	149	154
2
Episode 1	129	138	128	128	154	154
Episode 2	129	138	128	128	154	154
3
Episode 1	129	129	116	116	149	162
Episode 2	129	136	116	116	149	162

4.2. Population Genetic Analysis

The fixation index or F_ST values were calculated to assess inter-group genetic diversity for all pairwise combinations of the five sub-populations of C. albicans isolated from different animal hosts. The highest F_ST values related to C. albicans isolated from chicken to three subpopulations of cats (F_ST = 0.1397), cows (F_ST = 0.0639), and horses (F_ST = 0.0585). These results indicated a moderate genetic differentiation (0.05 < F_ST < 0.15) between C. albicans strains isolated from cats, cows, and horses Vs. chickens. All F_ST values across all other subpopulations had F_ST < 0.05, indicating these subpopulations were genetically homogenous to each other (Table 5).

Table 5.

Wright’s Fixation Index Values Among Five Sub-populations of Candida albicans Strains Isolated from Different Animal Hosts ^a

Group	Dog	Cat	Cow	Chicken	Horse
Dog	-	0.0428	0.0105	0	0
Cat	0.0428	-	0.0117	0.1397	0.0527
Cow	0.0105	0.0117	-	0.0639	0.03
Chicken	0	0.1397	0.0639	-	0.0585
Horse	0	0.0527	0.03	0.0585	-

^a The value was calculated by FSTAT software version 2.9.3.

4.3. Gene Diversity and Allelic Richness

Gene diversity, allelic richness per locus population, and inbreeding coefficient (F_IS) within sampling hosts were evaluated (Table 6). The highest F_IS value was observed in cow isolates (0.265), and horse isolates had the lowest F_IS value (0.019). These results implied that the subpopulation of C. albicans from cows underwent considerable inbreeding, while the isolates from horses had a higher genetic intrapopulation divergence. Furthermore, observed heterozygosity (Ho), average heterozygosity (Hs), and a total of heterozygosity (Ht) as an indicator of genetic diversity per locus EF3, CDC3, and HIS3 were calculated based on Nei’s estimation (Table 7). The highest observed heterozygosity was observed at the EF3 locus (Ho = 0.858).

Table 6.

Gene Diversity and Allelic Richness per Locus and Population and Estimation of Inbreeding Coefficient Within Sampling Hosts

Host	Locus						F_IS
	EF3		CD3		HIS
	GD	AR	GD	AR	GD	AR
Dog	0.817	7.318	0.798	5.563	0.796	7.669	0.196
Cat	0.9	10	0.7	5	0.8	7	0.253
Cow	0.865	10.991	0.646	8.169	0.816	8.138	0.265
Chicken	0.828	7	0.789	4	0.45	5	0.177
Horse	0.817	6	0.706	5	0.822	8	0.019

Abbreviations: GD, Gene diversity; AR, allelic richness; F_IS, inbreeding coefficient.

Table 7.

Nei’s Estimation of Heterozygosity per Locus

Locus	Ho	Hs	Ht
EF3	0.858	0.846	0.853
CDC3	0.540	0.767	0.764
HIS	0.521	0.741	0.819
Overall	0.640	0.785	0.812

Abbreviations: Ho, observed heterozygosity; Hs, average heterozygosity; Ht, total of heterozygosity.

4.4. Association of Genotypes with Animal Source

A minimum spanning tree (MSTree) using BioNumerics^TM software (version 7.6. Applied Maths) was constructed to illustrate the associations between the MLP genotypes of the C. albicans strains. Based on MSTree (Figure 2). In total, most microsatellite genotype of C. albicans isolates recovered from various sources had a genetic distribution with the same source. However, 90% (9 out of 10) of C. albicans isolates that recovered from chicken origin had a lower genetic distance.

Figure 2.

Minimum spanning tree of Candida albicans isolates using BioNumerics^TM software (version 7.6. Applied Maths), shows the relationship between the genotypes and animal hosts. The circle size showed the number of genotypes. The lines are related to genetic distance among genotypes.

4.5. Association of Genotypes in the Current Study with Those of Other Countries

Figure 3 shows the MSTree association of the MLP genotypes of C. albicans isolates with those of other countries that apply the same microsatellite markers. Based on the MSTree, the genotypes of C. albicans strains from our study were entirely distinct from those in other countries. As is evident in the MSTree, 30 (50%) of C. albicans isolates isolated from animals produced singleton genotypes; however, 30 (50%) of C. albicans isolates recovered from animals had common genotypes with 22 (36.66%) Iranian C. albicans human isolates (16, 19, 26).

Figure 3.

Minimum spanning tree, using BioNumerics^TM software (version 7.6. Applied Maths), indicates the genetic diversity of Candida albicans isolates from Iran compared to other countries (7, 27, 28).

5. Discussion

The significance of Candida infection among animal samples has not been well understood. On the other hand, many animal fungal infections due to Candida species have been reported, but their pathogenesis is not as significant as in humans (5). Also, numerous DNA-based genotyping techniques have shown effectiveness in evaluating and studying the population structure and molecular epidemiology of pathogenic fungi, thereby assisting in perceiving infection in humans and animals (14, 29). This research assessed phylogenetic analysis and relationships among C. albicans strains collected from animals with candidiasis by MLP. This investigation was one of the first studies conducted using molecular typing for C. albicans isolated from different animals, including cows, horses, dogs, cats, and chickens. Here, we investigated genetic differences, and population structure of C. albicans strains isolated from animals.

In this study, when combining the three microsatellites for typing a series of 60 unrelated strains of C. albicans, we obtained a discriminatory power of 0.991, which makes this method suitable for epidemiological studies. In agreement with our results, the discriminatory power index was reported at 0.991 in a study using the combination of CDC3, EF3, and HIS3 microsatellite polymorphic markers using multiplex PCR (19). Sampaio et al. indicated a higher value of 0.998 using the multiplex system according to the CAI, CAIII, and CAVI microsatellite markers (22). This difference may be due to the differential power of markers used, source of samples, sample size, and geographic area.

Of the 49 different genotypes in this study, 17 alleles and 26 different combinations were found for EF3 gene, six alleles and 13 combinations for CDC3 gene, and 17 alleles and 27 combinations for HIS3 gene. According to our findings, EF3 marker with high heterozygosity (Ho = 0.858) is the most efficient marker among the markers used in this study; so, this marker could better determine the genetic distance of hybrids than the other two markers used. Assessing genetic correlation in those isolates by this multiplex assay led to the discrimination of 49 of 60 strains, most of the identified genotypes were unique, thus indicating the high genetic diversity of C. albicans strains in animals. Other countries did not have identical genotypes in all loci compared to Iranian strains (Figure 3), and it can represent a relatively high level of genetic diversity of C. albicans isolates and geographical area.

Microevolution was seen due to mild alterations in the strain genotypes, which means the changes in only an allele that can be resulted from the single mutational step. Farahbakhsh et al.’s study showed that MLP typing of 60 C. albicans isolates in Iran resulted in 54 various profiles with a discriminatory power index of 0.997 (26). Ten alleles, as well as 18 different combinations, were found for EF3 gene, seven alleles and 18 combinations for CDC3 gene, and also 10 alleles and 14 combinations for HIS3 gene (26). In a study by Gharaghani et al., 38 different genotypes were detected with the three polymorphic loci among C. albicans isolates, and one genotype was homozygous (20).

The use of MLP method for analyzing isolates from recurrent candidiasis indicated a similar framework as already described. In the present study, of the three recurrent evaluated samples, two cases were related to the same strain, and a case was related to the same strain that was undergoing microevolution (one allele was changed). Furthermore, the capacity of microsatellite polymorphism to find microevolutionary processes has made it practical and effective to detect strain microevolution against environmental stress events. Therefore, it can be used for therapeutic purposes, particularly in recurrent infections. Standardizing microsatellite typing systems, such as the primers and the used separation methods and also the allele nomenclature, need to be considered for laboratory analysis. Emerging public databases to provide microsatellite alleles information accessible worldwide, as it is used in human microsatellites, is a challenging concern. Studying C. albicans isolates collected from the infected dogs indicated an increased genotypic diversity, but the same or highly similar genotypes were detected as well. The same multilocus genotype was shared with isolates collected from infected cats, cows, horses, and chickens, which specifies them as probable methods of transmission, and the resulting infections due to C. albicans can be highly associated with exogenous transfer to the patient.

The findings obtained from this study may enable us to establish a genetic database for animal pathogenic fungal species in Iran. As mentioned above, several numbers of strains with identical MLP genotypes were perceived in the present study (60 isolates corresponding to 49 genotypes). We found the occurrence of isolates that were different simply at one allele that probably originated from the same ancestor. Besides, there was no association between fluconazole resistance and each genotype.

In the current study, animals had no predominant genotype or specific genotype. However, we observed fifty percent similarities between genotypes of C. albicans isolates animals and Iranian humans in the study of Farahbakhsh et al. (26). These results could be an indicator of the importance of geographical location in genotyping of C. albicans isolates, and the possible role of transfer of C. albicans strains between animals and humans that reside in the same geographic zone. In agreement with our findings, Liu et al. suggested that C. albicans isolated from poultry were relatively independent but not completely separated from human isolates (30). Edelmann et al. noted specific genotypes in animals and common genotypes between human and animals and finally concluded that animals were a source of human infection (5). Of course, it should be noted that there was no significant similarity between the isolated alleles in this study and the study of Garaghani et al. on hospitalized pediatric patients with urinary tract infections in Ahvaz, Iran (20).

Furthermore, we obtained a genetic homogeneity (F_ST values < 0.05) among C. albicans isolated from animals, and just only a moderate genetic differentiation was found between birds and mammals. In agreement with our study, Kiasat et al. found genetic homogeneity among C. glabrata isolates from two groups (single-episode and multiple-episode) of vaginal candidiasis (31), and Amouri et al. showed genetic homogeneity between C. albicans groups (acute and recurrent vulvovaginal candidiasis) (32). Nevertheless, further studies on C. albicans strains from various regions of Iran are needed to understand the epidemiology of candidiasis caused by C. albicans in different animals. These findings indicated that there is a favorable context for growth of potential pathogenic C. albicans in animals. Also, other studies showed that combined forms were detected in some individuals. Strains undergoing microvariation in the hosts usually involve some alterations in zygosity of diploid allele pairs, and the strains indicate elevated geographical relationships (27, 28).

5.1. Conclusions

Finally, it should be noted that MLP typing has shown a high level of genotype variation in C. albicans isolates isolated from animals with candidiasis. The used C. albicans microsatellite markers, including EF3, CDC3, and HIS3, were polymorphic, and increased discriminatory power led to their use in epidemiologic evaluations of recurrent infections as well as field prevalence. So, microsatellite polymorphism comes out as a useful tool in the differentiation of the clinical isolates of C. albicans. Such typing methods are recommended to genotype more specimens isolated from animals. The results indicated a moderate genetic differentiation (0.05 < F_ST < 0.15) between C. albicans strains isolated from cats, cows, and horses as mammals vs. chickens. It seems that the comparison of human and animal genotyping using MLP should be considered in future studies. Moreover, the use of one particular animal host in various environments is recommended for exploring the relationship between genotypes and pathogenesis. Also, the present study is the first molecular epidemiology research on animals in Iran based on MLP.

Footnotes

Authors' Contribution: Study concept and design: Farzd Katiraee. Acquisition of data: Farzad Katiraee, Alireza Salimi, and Anahita Kasmaei. Analysis and interpretation of data: Farzad Katiraee, Hojjatolah Shokri, and Neda Kiasat. Drafting of the manuscript: Farzad Katiraee and Hojjatolah Shokri. Critical revision of the manuscript for important intellectual content: Farzad Katiraee. Statistical analysis: Farzad Katiraee and Neda Kiasat. Study supervision: Farzad Katiraee.
Conflict of Interests: The authors declare that there is no conflict of interest.
Funding/Support: This research was financially supported by a research grant from the Faculty of Veterinary Medicine, University of Tabriz, Tabriz, Iran, which we gratefully acknowledge.

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