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Extensive pastoral livestock systems in Central Europe provide multiple ecosystem services and support biodiversity in agricultural landscapes but their viability is challenged by livestock depredation (LD) associated with the recovery of wolf populations. Variation in the spatial distribution of LD depends on a suite of factors, most of which are unavailable at the appropriate scales. To assess if LD patterns can be predicted sufficiently with land use data alone at the scale of one federal state in Germany, we employed a machine-learning-supported resource selection approach. The model used LD monitoring data, and publicly available land use data to describe the landscape configuration at LD and control sites (resolution 4 km * 4 km). We used SHapley Additive exPlanations to assess the importance and effects of landscape configuration and cross-validation to evaluate the model performance. Our model predicted the spatial distribution of LD events with a mean accuracy of 74%. The most influential land use features included grassland, farmland and forest. The risk of livestock depredation was high if these three landscape features co-occurred with a specific proportion. A high share of grassland, combined with a moderate proportion of forest and farmland, increased LD risk. We then used the model to predict the LD risk in five regions; the resulting risk maps showed high congruence with observed LD events. While of correlative nature and lacking specific information on wolf and livestock distribution and husbandry practices, our pragmatic modelling approach can guide spatial prioritisation of damage prevention or mitigation practices to improve livestock-wolf coexistence in agricultural landscapes., (Copyright © 2023 The Author(s). Published by Elsevier B.V. All rights reserved.)

Iran has been identified being among the countries with the highest number of cutaneous leishmaniasis (CL) cases. South Khorasan province in East Iran is an emerging focus of CL. Species identification of sixty clinical samples by ITS1 PCR-RFLP presented evidence for the dominance of Leishmania tropica (90%) in this region. Analysis of the ITS1 sequence of 19 L. tropica isolates revealed seven closely related sequence types. In addition, ITS1 sequences available in GenBank from other Iranian regions were compiled for comparison with the studied isolates. Iranian L. tropica was distributed in two main clusters. All East Iranian sequence types were grouped with strains from foci from Southeast and Central regions in cluster A, showing highly similar sequences. The highest similarity was observed between most L. tropica from East and all isolates from Southeast regions and from Savojbolagh county in Central Iran. Southwest L. tropica was shown to be paraphyletic as the isolates were distributed in both clusters A and B. All Northeastern L. tropica were part of cluster B, however they showed significant heterogeneity and were distributed in different subclusters. Distribution of L. tropica populations was to some extent congruent with genetic lineages of Phlebotomus sergenti in Iran and may be an evidence for parasite-vector co-evolution. Southeast-East L. tropica was also similar to strains from Herat province in Afghanistan at the East border of Iran. This is the first comprehensive study on population structure of L. tropica in Iran that provides a guideline for appropriate sampling for further molecular based epidemiological studies., (Copyright © 2016 Elsevier B.V. All rights reserved.)

Ten polymorphic microsatellite markers were used to analyse 25 strains of Leishmania major collected from cutaneous leishmaniasis cases in different endemic areas in Iran. Nine of the markers were polymorphic, revealing 21 different genotypes. The data displayed significant microsatellite polymorphism with rare allelic heterozygosity. Bayesian statistic and distance based analyses identified three genetic clusters among the 25 strains analysed. Cluster I represented mainly strains isolated in the west and south-west of Iran, with the exception of four strains originating from central Iran. Cluster II comprised strains from the central part of Iran, and cluster III included only strains from north Iran. The geographical distribution of L. major in Iran was supported by comparing the microsatellite profiles of the 25 Iranian strains to those of 105 strains collected in 19 Asian and African countries. The Iranian clusters I and II were separated from three previously described populations comprising strains from Africa, the Middle East and Central Asia whereas cluster III grouped together with the Central Asian population. The considerable genetic variability of L. major might be related to the existence of different populations of Phlebotomus papatasi and/or to differences in reservoir host abundance in different parts of Iran., (Copyright © 2011 Institut Pasteur. Published by Elsevier Masson SAS. All rights reserved.)

In 2004, an outbreak of kala-azar (KA) occurred for the first time in Libo Kemkem district, in the highland area of northwest Ethiopia. In order to track the possible origins of the outbreak parasites, we have investigated 19 strains of Leishmania donovani that were collected during (n = 6) and after (n = 13) the outbreak by using 14 highly polymorphic microsatellite markers. Unique microsatellite profiles were obtained for all strains from Libo Kemkem. When compared to those of L. donovani strains from different Ethiopian, Kenyan and Sudanese foci, by genetic distance and Bayesian clustering model analyses, most strains from Libo Kemkem grouped with strains from: (i) Humera and Metema in the lowlands and Belessa in the highland of Ethiopia, and (ii) Sudan, at different hierarchal levels. The strains from Libo Kemkem district were assigned at least to three genetically distinct clusters (A, B1 and B2) of which only one, cluster B2, consisted exclusively of strains from Libo Kemkem. The fact that most of the outbreak strains were found to be related to strains from well-known KA foci in northwest Ethiopia and Sudan might suggest multiple introductions of L. donovani strains from these foci into Libo Kemkem district., (Copyright © 2011 Institut Pasteur. Published by Elsevier SAS. All rights reserved.)

Multilocus microsatellite typing (MLMT) was employed to compare strains of Leishmania donovani belonging to the MON-37 zymodeme (MON-37 strains) from Cyprus and Israel to MON-37 strains from the Indian subcontinent, the Middle East, China and East Africa as well as strains of other zymodemes. The MLMT data were processed with a distance-based method for construction of phylogenetic trees, factorial correspondence analysis and a Bayesian model-based clustering algorithm. All three approaches assigned the MON-37 strains to different distantly related genetically defined subgroups, corresponding to their geographical origin. Specifically, the Kenyan, Sri Lankan and Indian MON-37 strains were genetically closer to strains of other zymodemes from the same regions than to MON-37 strains from other areas. MON-37 strains from Cyprus and Israel were clearly different not only among themselves, but also compared to all the other MON-37 strains studied and could, therefore, be autochthonous. This study showed that the zymodeme MON-37 is paraphyletic and does not reflect the genetic relationship between strains of different geographical origin.

Multilocus microsatellite typing (MLMT) was used to investigate the genetic variation among 44 Israeli and Palestinian strains of L. infantum isolated from infected dogs and human cases to determine their population structure and to compare them with strains isolated from different European countries. Most of the Israeli and Palestinian strains had their own individual MLMT profiles; a few shared the same profile. A Bayesian model-based approach and phylogenetic reconstructions based on genetic distances inferred two main populations that were significantly different from the European strains: population A, containing 16 strains from places in the West Bank and 11 strains from central Israel;and population B, containing 7 strains from northern Israel, 9 from central Israel, and one Palestinian strain from the Jenin District.Geographically distributed sub-populations were detected within population B. These results demonstrate similar disease dynamics in Israel and the Palestinian Authority. The re-emergence of VL in the case of population A is more likely owing to increased dog and human contact with sylvatic cycles of parasitic infection rather than to recent introduction from the older foci of northern Israel. The latter scenario could be true for population B found in few foci of Central Israel., ((c) 2009 Elsevier Masson SAS. All rights reserved.)

The present study applies multilocus microsatellite typing (MLMT) for studying the polymorphism among 55 strains of Leishmania infantum from Algeria. These strains from different Algerian foci representing different zymodemes, hosts and clinical forms were analysed using 14 microsatellite markers. All 55 strains had individual MLMT profiles and no relationship was observed between them and different host or geographical origins. Three populations of Algerian L. infantum were identified by a Bayesian clustering approach implemented in STRUCTURE software and supported by genetic distance analysis. Two populations, A and B, consisted mainly of strains belonging to zymodeme MON-1, and the third population, C, mainly of MON-24 strains isolated from cutaneous leishmaniasis cases. Interestingly, a small group of strains appeared as a mixture of different populations and might be putative hybrids. Genetic migration was noticed among the two MON-1 populations, A and B, as well as between populations A and C. Due to its high discriminatory power MLMT could be also successfully applied for differentiating relapses or re-infection for patients suffering from multiple episodes of visceral leishmaniasis.

Multilocus enzyme electrophoresis (MLEE) is the gold standard for taxonomy and strain typing of Leishmania, but has some limitations. An alternative reliable and fast genotyping method for addressing population genetic and key epidemiological questions, is multilocus microsatellite typing (MLMT). MLMT using 15 markers was applied to 91 strains of L. donovani, L. archibaldi, L. infantum and L. chagasi from major endemic regions of visceral leishmaniasis. Population structures were inferred by combination of Bayesian model-based and distance-based approaches. Six main genetically distinct populations were identified: (1) L. infantum/L. chagasi MON-1 and (2) L. infantum/L. chagasi non-MON-1, both Mediterranean region/South America; (3) L. donovani (MON-18), L. archibaldi (MON-82), L. infantum (MON-30, 81) and (4) L. donovani (MON-31, 274), L. archibaldi (MON-82, 257, 258), L. infantum (MON-267), both Sudan/Ethiopia; (5) L. donovani MON-2, India; (6) L. donovani (MON-36, 37, 38), Kenya and India. Substructures according to place and time of strain isolation were detected. The VL populations seem to be predominantly clonal with a high level of inbreeding. Allelic diversity was highest in the Mediterranean region, intermediate in Africa and lowest in India. MLMT provides a powerful tool for global taxonomic, population genetic and epidemiological studies of the L.donovani complex.

Protozoan parasites of Leishmania major are the causative agents of cutaneous leishmaniasis in different parts of Iran. We applied PCR-based methods to analyze L. major parasites isolated from patients with active lesions from different geographic areas in Iran in order to understand DNA polymorphisms within L. major species. Twenty-four isolates were identified as L. major by RFLP analysis of the ribosomal internal transcribed spacer 1 (ITS1) amplicons. These isolates were further studied by single-strand conformation polymorphism (SSCP) analysis and sequencing of ITS1 and ITS2. Data obtained from SSCP analysis of the ITS1 and ITS2 loci revealed three and four different patterns among all studied samples, respectively. Sequencing of ITS1 and ITS2 confirmed the results of SSCP analysis and showed the potential of the PCR-SSCP method for assessing genetic heterogeneity within L. major. Different patterns in ITS1 were due to substitution of one nucleotide, whereas in ITS2 the changes were defined by variation in the number of repeats in two polymorphic microsatellites. In total five genotypic groups LmA, LmB, LmC, LmD and LmE were identified among L. major isolates. The most frequent genotype, LmA, was detected in isolates collected from different endemic areas of cutaneous leishmaniasis in Iran. Genotypes LmC, LmD and LmE were found only in the new focus of CL in Damghan (Semnan province) and LmB was identified exclusively among isolates of Kashan focus (Isfahan province). The distribution of genetic polymorphisms suggests the existence of distinct endemic regions of L. major in Iran.

To understand phylogenetic relationships of species and strains within the Leishmania donovani complex, we have analyzed the ribosomal DNA internal transcribed spacer (ITS) sequences of 27 Leishmania infantum, 2 Leishmania chagasi, 18 L. donovani and 5 Leishmania archibaldi strains of different zymodemes and geographical origin. Eight ITS sequence types were found. All detected sequence variation within ITS1 and ITS2 was based on 12 polymorphic microsatellites. The L. infantum strains from the Mediterranean region, China and L. chagasi from the New World formed a phylogenetic group well separated from the second main group including all strains from East Africa and India. Within the latter group three distinct phylogenetic subgroups could be differentiated: (1) L. donovani (Sudan/Ethiopia, China) + L. archibaldi (Sudan), (2) L. donovani (Sudan/Ethiopia) + L. infantum (Sudan) + L. archibaldi (Sudan/Ethiopia), and (3) L. donovani (Kenya, India). These groups are not consistent with previous species definitions based on isoenzyme analyses, e.g. L. infantum is polyphyletic and L. archibaldi is not supported as a distinct species. Two groups of Indian strains could be differentiated, one of which has an identical sequence type to the strains from Kenya. Three main lineages of strains can thus be differentiated in East Africa: two quite distantly related groups of strains from Sudan/Ethiopia, and a third group including all strains from Kenya, which is more closely related to part of the Indian strains than to any of the Sudanese/Ethiopian groups. The ITS sequence analysis presented here supports the need for revision of the taxonomy of the L. donovani complex.