Literature DB >> 35993082

Genetic diversity of Echinococcus spp. in wild carnivorous animals in Kazakhstan.

Rabiga Uakhit1, Ainura Smagulova1, Alfiya Syzdykova1, Sarsenbay Abdrakhmanov1, Vladimir Kiyan1,2.   

Abstract

Background and Aim: The study of Echinococcus infection among farm animals in Kazakhstan was carried out to monitor the invasion among livestock and map the data obtained. Unfortunately, there are only partial data on the study of echinococcosis among wild carnivores in Kazakhstan, which makes it difficult to conduct a comparative analysis of the epidemiological situation among wild animals. The present study aimed to estimate the genetic diversity of Echinococcus spp. (Leuckart, 1863) in Kazakhstan based on sequence analysis of cytochrome c oxidase subunit 1 (cox1) and dehydrogenase subunit 1 (nad1) of worms isolated from wild carnivorous animals wolf (Canis lupus), red fox (Vulpes vulpes) and corsac (Vulpes corsac). Materials and
Methods: DNA from parasite tissue was used as a template for the amplification of the two mitochondrial genes cox1 and nad1. Sequencing was performed according to the manual for the Seq Studio Genetic Analyzer. The multiple alignments of obtained sequences were performed using the ClustalW algorithm in Mega (v.11) software. Alignments were exported as a Nexus extension and used as input for TCS v1.21 for the identification of haplotypes. The phylogenetic analysis was constructed according to the neighbor-joining method using Mega (v.11) software.
Results: Analysis of the extensiveness of echinococcosis invasion showed that 6.3% were wolves, 18.2% were corsacs, and 85% were foxes. In total, 159 adults of Echinococcus spp. from the three species of animals in different parts of Kazakhstan were analyzed, and 17 individual biological samples were successfully sequenced. Sequence analysis of cox1 and nad1 genes revealed two types of echinococcosis - Echinococcus granulosus in red foxes and wolves, and Echinococcus multilocularis in corsacs. Sequencing of a portion of the mitochondrial genome made it possible to determine seven haplotypes of the pathogen in the studied samples of E. granulosus. Molecular analysis of cox1 and nad1 genes of E. multilocularis revealed three new haplotypes, which have significant variability compared with other studied Asian haplotypes.
Conclusion: This study made it possible to fill the gaps in understanding the localization of the foci of the spread of the echinococcosis pathogen among the main wild carnivores and to determine the species reservoir of the pathogen in the greater territory of Kazakhstan. Copyright: © Uakhit, et al.

Entities:  

Keywords:  Asian haplotype; corsac; echinococcosis; phylogenetics; red foxes; wolf

Year:  2022        PMID: 35993082      PMCID: PMC9375211          DOI: 10.14202/vetworld.2022.1489-1496

Source DB:  PubMed          Journal:  Vet World        ISSN: 0972-8988


Introduction

Echinococcosis is an animal-borne infection caused by tapeworms of the Echinococcus type [1]. Intermediate hosts for Echinococcus spp. are some herbivores (cattle, sheep, pigs, horses, etc.) and omnivores, such as small rodents, including rats and mice [2, 3]. The final hosts are carnivores whose intestines are inhabited by mature worms [4]. Based on the specificity of manifestation and distribution in the host’s internal organs, four types of echinococcus are distinguished: Cystic (Echinococcus granulosus), alveolar (Echinococcus multilocularis), polycystic (Echinococcus vogeli), and monocystic (Echinococcus oligarthrus) [5]. Cystic and alveolar echinococcoses are serious problems for medicine, public health, and animal husbandry. These two forms of echinococcosis are most common in wild animals [6, 7]. E. granulosus is endemic on all continents, while E. multilocularis has a more limited distribution [8]. In the Midwest, cystic echinococcosis (CE) is common in most countries, although the prevalence of alveolar echinococcosis has been reported in Iran, Iraq, and Tunisia [9]. In Asia, canine infections have been reported in dogs in Kazakhstan [10], Kyrgyzstan [11] and China [12]. The geographical distribution of alveolar echinococcosis is limited to the Northern Hemisphere. The cestode has been registered in the republics of Central Asia [13, 14, 15], Central Europe, the Middle East, Russia, and Alaska [14], and Northern Japan [16]. The study of Echinococcus infection among farm animals in Kazakhstan territory was carried out to monitor the invasion among livestock, and further map the data obtained [17, 18]. Unfortunately, there are only partial data on the study of echinococcosis among wild carnivores in Kazakhstan, which makes it difficult to conduct a comparative analysis of the epidemiological situation among wild animals. This study aimed to study the level of echinococcal infection among wild carnivores in different regions of the country and to analyze the genetic characteristics of the echinococcosis pathogen in Kazakhstan.

Materials and Methods

Ethical approval

The study was approved by the Animal Ethics Committee (№1 dated July 24, 2019) of Saken Seifullin Kazakh Agrotechnical University.

Study period and location

This study was conducted from July 2020 to February 2021. In Parasitological Laboratory, Veterinary Medicine Faculty and Research platform of Agricultural Biotechnology, Saken Seifullin Kazakh Agrotechnical University, Nur-Sultan, Kazakhstan.

Sample collection

Echinococcus spp. were isolated from red foxes (Vulpes vulpes), corsacs (Vulpes corsac), and wolves (Canis lupus), (Linnaeus) that were captured in the different regions of Kazakhstan. Hunters conducted the extraction of wild animals in compliance with all legislative norms. The digestive tracts, livers, and lungs of 7 foxes, 11 corsacs, and 32 wolves were analyzed for the presence of parasites. The bowel scraping technique was performed as described by Deplazes and Eckert [19]. A total of 159 helminths were selected. All samples were isolated from the intestine.

DNA extraction and polymerase chain reaction (PCR) assay

For DNA extraction, one piece of the adult worm was homogenized in an Eppendorf centrifuge tube and subjected to the standard phenol-chloroform extraction method with proteinase K and subsequent ethanol precipitation [20]. The amount and purity of the extracted DNA were determined by measuring absorption at 260 nm and 280 nm in a NanoDrop 2000 (Thermo Scientific, Carlsbad, California, USA). DNA was dissolved in ddH2O and stored at −70°C. PCR was carried out in a 25 μl reaction mixture containing 10× Taq buffer with (NH4)2SO4, 2.5 mM MgCl2, 1 U Taq DNA polymerase and 200 μM deoxynucleotide triphosphates (Thermo Scientific), 10 pmol of each primer and 20 ng of extracted trematode DNA from an adult specimen as a template. Thermal cycling reactions were performed for 35 cycles of denaturation (94°C for 60 s), annealing (50°C for 60 s), and extension (72°C for 60 s). The resulting amplification fragments were separated by electrophoresis on an ethidium bromide containing 1.5% agarose gel using 1× Tris-acetate-EDTA buffer solution. Polymerase chain reaction (PCR) was applied to identify the genetic diversity of Echinococcus spp. using 2 primer pairs targeting cytochrome c oxidase subunit 1 (cox1: forward 5′-TTTTTTGGGCATCCTGAGGTTTAT-3′ and reverse 5′-TAAAGAAAGAACATAATGAAAATG-3′) and dehydrogenase subunit 1 (nad1: forward 5′-TGGAACTCAGTTTGAGCTTTACTA-3′ and reverse 5′-ATATCAAAGTAACCTGCTATGCAG-3′) [21, 22].

Sequencing data and phylogenetic analysis

A PCR-amplified target gene fragment was purified using a Quick PCR Purification Kit, (Invitrogen, Lithuania), following the manufacturer’s protocols. Sequencing was performed according to the manual for Seq Studio Genetic Analyzer (Thermo Fisher Scientific Applied Biosystems, USA). The resulting nucleotide sequences were visually checked by the Bio Capt program (version 11.0). The nucleotide sequences of the studied species were compared with other sequences in the National Center for Biotechnology Information (NCBI) GenBank database using the basic local alignment search tool options. The nucleotide sequences of the studied species were deposited in the NCBI GenBank database. The genotypes of E. granulosus present in the isolates characterized in this study were identified based on of cox1 gene. The original reference sequences for the G-system genotypes of E. granulosus described by Bowles et al. [20] were used as references in alignments for comparison with the sequences acquired in the present study. Multiple alignments of the obtained sequences were performed using the ClustalW algorithm in MEGA (v.11) software [23] (https://www.megasoftware.net/). Alignments were exported as a Nexus extension and used as input for TCS v1.21 (Computational Science Laboratory, Barcelona, Spain) [24] for the identification of haplotypes, network construction, and estimation of diversity indices. The phylogenetic analysis was constructed according to the neighbor-joining (NJ) method using MEGA (v.11) software. For the comparison of a relevant out-group sequence, a sequence of E. shiquicus was also selected.

Results

Parasitological study

All captured animals were dissected and examined for the presence of parasites. Figure-1 indicates the areas in which the capture of animals was carried out and depicts the species of animals that were studied in this area.
Figure-1

The areas in which the capture of animals was carried out and the species of animals studied from this area are depicted [Source: www.worldatlas.com/maps/kazakhstan].

The areas in which the capture of animals was carried out and the species of animals studied from this area are depicted [Source: www.worldatlas.com/maps/kazakhstan]. Echinococcosis was found in two corsacs in the Qaragandy region, and 15 specimens were isolated. Among the foxes, infected individuals were found in the Qaragandy (4 individuals) and Aqmola (2 individuals) regions. The total number of pathogens isolated from foxes was 137 specimens. Among the wolves infected with echinococcosis, two individuals from the Qostanay region were identified, and seven specimens of the pathogen were isolated from them. The extensiveness of Echinococcus spp. in the Qaragandy region was 27.3% and was the highest compared to other regions in which studies have been conducted. In the Aqmola region, the extensiveness was the lowest, at 2.7%. In the present study, the exposure index values of echinococcosis were 6.3% for wolves, 18.2% for corsacs, and 85% for foxes.

Genetic profile of E. granulosus

Characterization of mtDNA haplotypes

As shown in Figure-2, seven haplotypes were detected in the E. granulosus isolates examined, which were designated Hp1 to Hp7. When compared with individual genes, the numbers of haplotypes were decreased to 3 in nad1 compared to 7 in cox1. The concatenation of the genes was effective in generating a phylogenetic tree. The nucleotide sequence of cox1 showed the highest frequency of substitution (14 substitution sites), followed by nad1 (5 substitution sites).
Figure-2

Nucleotide substitutions in the mitochondrial cox1 and nad1 genes, substitution sites are numbered from the initiation codon. *Synonymous substitution. Numbers are read vertically. The substitution sites are numbered from the initiation codon of each gene.

Nucleotide substitutions in the mitochondrial cox1 and nad1 genes, substitution sites are numbered from the initiation codon. *Synonymous substitution. Numbers are read vertically. The substitution sites are numbered from the initiation codon of each gene. Intraspecific variations were observed in both mitochondrial loci. Nucleotide exchanges could be observed at five and four sites in the cox1 and nad1 sequences, respectively, yielding 7 (cox1) and three (nad1) haplotypes (Figure-2). Most of these sites were parsimony informative. Nonsynonymous substitutions exceeded synonymous substitutions (3 vs. 1) in the nad1 coding region, while only one of the changes in the cox1 coding region was synonymous. Point mutation at sites 27 and 218 showed multiple evolutionary paths. Deletions were observed within both genes; hence, the nucleotide numbers were not stable. In this study, samples of Echinococcus spp. from wild carnivorous animals were investigated. Data including the names of the samples, the accession numbers in GenBank, and from which animals they were isolated are presented in Table-1.
Table 1

Echinococcus granulosus genotypes and haplotypes obtained from cox1 and nad1 gene sequence analysis in different host species.

HaplotypesHostGenotypeSpeciesAccession number
Profile cox1
 Hp1 Canis lupus G1 Echinococcus granulosus OM319836
 Hp2 Canis lupus G1 Echinococcus granulosus OM319830
 Hp3 Vulpes corsac G1 Echinococcus granulosus MZ506656
 Hp4 Vulpes corsac G1 Echinococcus granulosus OM469938
 Hp5 Vulpes corsac G1 Echinococcus granulosus OM470916
 Hp6 Vulpes corsac G1 Echinococcus granulosus OM470963
 Hp7 Canis lupus G1 Echinococcus granulosus OM319844
Profile nad1
 Hp1 Vulpes corsac G1 Echinococcus granulosus OM640347, OM640348 OM640349, OM640350
 Hp2 Canis lupus G1 Echinococcus granulosus OM640352
 Hp3 Canis lupus G1 Echinococcus granulosus OM640353, OM640354
Echinococcus granulosus genotypes and haplotypes obtained from cox1 and nad1 gene sequence analysis in different host species.

Parsimony network of mtDNA haplotypes

In general, polymorphism of the cox1 locus resulted in seven haplotypes from the three studied regions (Figure-3a). The nad1 locus yielded only three haplotypes, Hp1 from corsac cor3EG-KZ 1–4 in the Qaragandy region, Hp2 from one sample of a wolf in the Qostanay region (wolf18–18 KZ–10) and Hp3 from two samples from a wolf in the Qostanay region (wolf18–18 KZ–11, 12) (Figure-3b).
Figure-3

Haplotype network of the sequences of the cox1 (a) and nad1 (b) genes of the seven isolates from Echinococcus granulosus.

Haplotype network of the sequences of the cox1 (a) and nad1 (b) genes of the seven isolates from Echinococcus granulosus. The haplotype diversity for cox1 was n = 0.577778, and that for nad1 was n = 0.644444; the number of segregating sites = 30, and Tajima’s D for cox1 was 1.92156, while that for nad1 was 2.06265. Large circles denote haplotypes found in this study, whereas small circles show hypothetical haplotypes. The statistical parsimony network of the mtDNA haplotypes is illustrated in Figure-3. Among the participants in the network, nad1 gene haplotype 3 showed the largest out-group probability from the other two haplotypes. In the cox1 gene, haplotypes 3–7 were closely related to each other. The mutational steps within each gene clade were infrequent, and their maximum numbers were 6 in the cox1 gene and 8 in the nad1 gene. The network distance in the nad1 gene between haplotypes 1 and 3 was 8 mutational steps, which indicates a small genetic divergence in a relationship. There was no dominant haplotype of E. granulosus in the analyzed samples.

Genetic differentiation index

A pairwise fixation index (Fst) was computed using the mtDNA data to estimate the degree of genetic differentiation of E. granulosus samples obtained from carnivorous animals in Kazakhstan. The Fst index had a 0–1 value range, where 0 denotes the complete identity of the studied samples, and 1 denotes fixation. In our analysis, the Fst values ranged from 0.002 to 0.021 (Table-2).
Table 2

Pairwise fixation index (Fst values) between Echinococcus granulosus samples based on concatenated mtDNA sequences of cox1/nad1 genes (1159 bp).

Samples1234567
cor3EG-KZ_1
cor3EG-KZ_40.002
wolf18-18 KZ-100.0050.002
wolf18-18 KZ-120.0070.0050.007
cor3EG-KZ-20.0080.0100.0050.015
wolf18-18 KZ-110.0150.0160.0070.0020.021
cor3EG-KZ-30.0180.0010.0020.0050.0170.005
Pairwise fixation index (Fst values) between Echinococcus granulosus samples based on concatenated mtDNA sequences of cox1/nad1 genes (1159 bp). The evolutionary history was inferred using the NJ method [25]. The optimal tree is shown in Figure-4. The evolutionary distances were computed using the maximum composite likelihood method [23] and are expressed in units of the number of base substitutions per site. All ambiguous positions were removed for each sequence pair (pairwise deletion option). There were a total of 1159 positions in the final dataset. Evolutionary analyses were conducted in Mega 11 [26].
Figure-4

A neighbor-joining haplotype tree of Echinococcus granulosus constructed from the nucleotide dataset of mitochondrial nad1 and cox1 genes. Values on the tree nodes are bootstrap proportions (%). A scale bar (divergence of 0.06) is shown.

A neighbor-joining haplotype tree of Echinococcus granulosus constructed from the nucleotide dataset of mitochondrial nad1 and cox1 genes. Values on the tree nodes are bootstrap proportions (%). A scale bar (divergence of 0.06) is shown. To analyze and build a phylogenetic tree, the genomic regions of the cox1 and nad1 genes were used. The percentage of relatedness between the studied genotypes was high, and the statistical assessment of the reliability of the tree obtained by bootstrap analysis ranged from 89 to 96%, forming a paraphyletic clade among themselves. According to the distance matrix, an unrooted tree was first built. For rooting, the position of the root was determined using a representative out-group; in our case, E. shiquicus was chosen.

Genetic profile of E. multilocularis

The names of the E. multilocularis samples, the accession numbers in GenBank, and the types of animal parasites isolated are presented in Table-3. Phylogenic analysis was performed as described above.
Table 3

Echinococcus multilocularis genotypes and haplotypes obtained from cox1 and nad1 gene sequence analysis in different host species.

HaplotypesHostSpeciesProfile (accession number)
Hp1 Vulpes vulpes Echinococcus multilocularis OM640355 foxEM-KZ 1 nad1
Hp2 Vulpes vulpes Echinococcus multilocularis OM640356 foxEM-KZ 2 nad1
Hp3 Vulpes vulpes Echinococcus multilocularis OM471710 fox21-34_KZ_5 cox1
Echinococcus multilocularis genotypes and haplotypes obtained from cox1 and nad1 gene sequence analysis in different host species. The resulting samples were analyzed using the Asian haplotypes of E. multilocularis previously described by Nakao et al. [27]. The phylogenetic tree was inferred using the NJ method [25]. The optimal tree is shown in Figure-5. The evolutionary distances were computed using the maximum composite likelihood method [26] and are expressed in units of the number of base substitutions per site. There were a total of 1641 positions in the final dataset.
Figure-5

A neighbor-joining haplotype tree of Echinococcus multilocularis.

A neighbor-joining haplotype tree of Echinococcus multilocularis. The phylogenetic analysis (Figure-5) shows that the samples we studied had low similarity with the previously described Asian haplotypes. Given that the sample size of the studied samples was small, the study of the genetic diversity of E. multilocularis will continue further.

Discussion

In this work, a study was conducted in five regions of Kazakhstan: the Qostanay, Aqmola, Qaraganda, West Kazakhstan, and East Kazakhstan regions. The territories where outbreaks of echinococcal invasion of farm animals were registered were studied. On referencing a map, it can be noted that hunting for wild animals has developed in the areas of echinococcosis detection among farm animals. This indicates the circulation of the invasion in the ecosystem and the high risks of its transmission to humans [17, 28, 29]. Echinococcus spp. are widespread in Kazakhstan and are responsible for massive cases of CE in humans and animals, both in dogs and livestock [30]. Comparing our data to those of neighboring states according to Beiromvand et al. [31], the study of carnivore parasites in Iran by multiplex PCR revealed that E. multilocularis was found in the feces of wild predators such as jackals, foxes, wolves, hyenas, and dogs (6.5%). E. granulosus was also found in fecal samples of dogs (16.9%), jackals and foxes, and wolves and hyenas (66.7%). In the Russian Federation, studies were carried out by Andrejanov [32] on the prevalence of alveolar echinococcosis among carnivores. Among the 242 animals studied, 24.5% of foxes, 50% of wolves, 18.7% of raccoon dogs, and 3.7% of domestic dogs were infested with E. multilocularis. Data from Rojas et al. [33] from Kyrgyzstan show molecular data from 43 dog samples (23 infected with E. multilocularis and 20 with E. granulosus). As a result of this study, samples of wolves and corsacs were found and established to be infected with E. granulosus. Foxes were infested exclusively with E. multilocularis. This incident is interesting and requires detailed study. The previous studies have emphasized that the genetic variability of E. multilocularis is significantly limited compared to that of E. granulosus sensu lato, which shows significant genetic variability [21, 34, 35]. At present, ten different genotypes of E. granulosus, designated G1–G10, have been described worldwide based on genetic diversity associated with the nucleotide sequences of the mitochondrial nad1 and cox1 genes. A total of 17 samples were sequenced and identified to the strain level in this study. Phylogenetic analysis revealed that seven isolates were identified as the G1 genotype and included seven different haplotypes (the GenBank accession numbers are shown in Table-1). A study conducted in the territory of Kazakhstan revealed that the dominant circulating E. granulosus genotype was G1, which is highly pathogenic for humans and therefore for wild animals, which have the ability to easily adapt to various environmental conditions and could play a significant role as reservoirs [36]. For the first time in the territory of Kazakhstan, haplotypes of E. granulosus were studied. Ultimately, seven haplotypes were identified and deposited from the studied samples, which were obtained from wild carnivores. Of the two loci studied, the cox1 site showed greater variability, dividing the studied samples into seven haplotypes. The nad1 region, which divided the samples into only three haplotypes, was the least variable. This shows the need for further in-depth study of possible haplotypes of this species, not only those selected among wild carnivores but also domestic, farm animals, and humans. The study of E. multilocularis requires more research. Using the methodology described by Nakao et al. [27] to analyze genetic variation within E. multilocularis allowed us to obtain datasets that are comparable with other sequences from different geographic regions. In our case, they were compared with Asian haplotypes. The haplotypes established by us had very low similarity with the compared samples, indicating that there is a difference and the possibility of determining a new Asian haplotype. It should also be noted that we cannot compare our dataset with different sequences, as shorter sections of mitochondrial genes were sequenced or the total lengths of different mitochondrial genes were very different. Attempts were made to study a complete map of the distribution and transmission of invasion in the ecosystem and provide a detailed analysis and identification of all available haplotypes common in Kazakhstan. However, the work was not completed due to the lack of information available in the database. Studies of species specificity using molecular methods are practically not carried out due to the poor equipment and the technical base and the lack of adapted express protocols for the isolation and identification of parasites. These limitations negatively influence the objective assessment of the species of parasites, their identification and efficiency during analysis, etc. The lack of an update in the direction of molecular identification of Echinococcus infection suggests that there is a huge gap that has implications for medicine, livestock, and hunting.

Conclusion

These studies made it possible to fill the gaps in understanding the localization of the foci of the spread of the echinococcosis pathogen among the main wild carnivores and to determine the species reservoir of the pathogen in the greater territory of Kazakhstan. The availability of the obtained data will make it possible to understand the main ways of transmission of echinococcosis between natural reservoirs, farm animals, and humans. Together, this will contribute to the development of preventive measures to prevent the spread of echinococcosis among people and domestic animals and reduce the epidemiological background of this infection.

Authors’ Contributions

VK: Conception and design of the study and drafted and revised the manuscript. RU: Performed DNA extraction and PCR, interpreted the data, performed phylogenetic analysis and drafted the manuscript. ASm and ASyz: Collected samples and performed parasitological isolation and typing. SA: Analyzed the data and performed the statistical analysis. All authors have read and approved the final manuscript.
  34 in total

1.  TCS: a computer program to estimate gene genealogies.

Authors:  M Clement; D Posada; K A Crandall
Journal:  Mol Ecol       Date:  2000-10       Impact factor: 6.185

2.  Prospects for inferring very large phylogenies by using the neighbor-joining method.

Authors:  Koichiro Tamura; Masatoshi Nei; Sudhir Kumar
Journal:  Proc Natl Acad Sci U S A       Date:  2004-07-16       Impact factor: 11.205

3.  Geographic pattern of genetic variation in the fox tapeworm Echinococcus multilocularis.

Authors:  Minoru Nakao; Ning Xiao; Munehiro Okamoto; Tetsuya Yanagida; Yasuhito Sako; Akira Ito
Journal:  Parasitol Int       Date:  2009-08-03       Impact factor: 2.230

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Journal:  J Parasit Dis       Date:  2014-09-25

5.  The neighbor-joining method: a new method for reconstructing phylogenetic trees.

Authors:  N Saitou; M Nei
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Review 7.  The immunodiagnosis of Echinococcus multilocularis infection.

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