Plasmodium knowlesi Malaria in Persons Returning to Israel from Thailand, 2023
Yael Paran, Ami Neuberger, Muna Massarwa, Maisam Amar, Julia Vainer, Moran Szwarcwort Cohen, Ohad Shalom, Shirly Elbaz, Maya Davidovich, Oscar David Kirstein, and Tamar Grossman
Author affiliation: Tel Aviv Sourasky Medical Center, Tel Aviv, Israel (Y. Paran); Division of Internal Medicine, Rambam Health Care Campus, Haifa, Israel (A. Neuberger, M. Massarwa); Technion Faculty of Medicine, Haifa (A. Neuberger, M. Amar); Infectious Disease Unit, Lady Davis Carmel Medical Center, Haifa (M. Amar); Public Health Laboratories–Jerusalem, Public Health Services, Ministry of Health, Jerusalem, Israel (J. Vainer, S. Elbaz, M. Davidovich, O.D. Kirstein, T. Grossman); Microbiology Laboratory, Rambam Health Care Campus, Haifa (M.S. Cohen); Microbiology Laboratory, Tel Aviv Sourasky Medical Center, Tel Aviv (O. Shalom)
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Figure 2

Figure 2. Phylogenetic analysis of Pkmsp1 sequences for Plasmodium knowlesi malaria in persons returning to Israel from Thailand, 2023. Dendogram was based on an 850-bp fragment of the C-terminal region of Pkmsp1, including all published sequences from Thailand, the isolates from patients 1 and 2 in this study (bold text), and the most closely related sequences identified through BLAST (https://blast.ncbi.nlm.nih.gov) analysis. No exact matches were identified for patient 1 (northern Thailand); the geographic origin of 2 closely related sequences is indicated. For patient 2 (southern Thailand), several identical sequences were found in GenBank (green box). Accession numbers are given. Clustering analysis was performed by using the unweighted pair group with arithmetic mean method with open gap penalty set to 100% and unit gap penalty set to 0%, without correction. Scale bar indicates percentage similarity between sequences.
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