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Population Structure Analysis of Phlebotomus Papatasi Populations Using Transcriptome Microsatellites: Possible Implications for Leishmaniasis Control and Vaccine Development Publisher Pubmed



Hamarsheh O1, 10 ; Guernaoui S2 ; Karakus M3 ; Yaghoobiershadi MR4 ; Kruger A6 ; Amro A7 ; Kenawy MA8 ; Dokhan MR9 ; Shoue DA10 ; Mcdowell MA10
Authors
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Authors Affiliations
  1. 1. Department of Biological Sciences, Faculty of Science and Technology, Al-Quds University, Jerusalem, Palestine
  2. 2. Biotechnology, Conservation and Valorization of Natural Resources Laboratory, Faculty of Sciences Dhar El Mahraz, Sidi Mohamed Ben Abdellah University, Fez, Morocco
  3. 3. Faculty of Medicine, Department of Medical Microbiology, University of Health Sciences, Istanbul, Turkey
  4. 4. Department of Medical Entomology & amp
  5. 5. Vector Control, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
  6. 6. Bundeswehr Central Hospital, Koblenz, Germany
  7. 7. Faculty of Pharmacy, Al-Quds University, Jerusalem, Palestine
  8. 8. Department of Entomology, Faculty of Science, Ain Shams University, Cairo, Abbassia, 11566, Egypt
  9. 9. Department of Zoology, Faculty of Science, University of Sabratha, Sabratha, Libya
  10. 10. Department of Biological Sciences, Galvin Life Science, Eck Institute for Global Health, University of Notre Dame, Notre Dame, 46656, IN, United States

Source: Parasites and Vectors Published:2024


Abstract

Background: Phlebotomus papatasi is considered the primary vector of Leishmania major parasites that cause zoonotic cutaneous leishmaniasis (ZCL) in the Middle East and North Africa. Phlebotomus papatasi populations have been studied extensively, revealing the existence of different genetic populations and subpopulations over its large distribution range. Genetic diversity and population structure analysis using transcriptome microsatellite markers is important to uncover the vector distribution dynamics, essential for controlling ZCL in endemic areas. Methods: In this study, we investigated the level of genetic variation using expressed sequence tag-derived simple sequence repeats (EST-SSRs) among field and colony P. papatasi samples collected from 25 different locations in 11 countries. A total of 302 P. papatasi sand fly individuals were analyzed, including at least 10 flies from each region. Results: The analysis revealed a high-level population structure expressed by five distinct populations A through E, with moderate genetic differentiation among all populations. These genetic differences in expressed genes may enable P. papatasi to adapt to different environmental conditions along its distribution range and likely affect dispersal. Conclusions: Elucidating the population structuring of P. papatasi is essential to L. major containment efforts in endemic countries. Moreover, the level of genetic variation among these populations may improve our understanding of Leishmania–sand fly interactions and contribute to the efforts of vaccine development based on P. papatasi salivary proteins. Graphical Abstract: (Figure presented.) © The Author(s) 2024.
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