Population structure and geographical subdivision of the Leishmania major vector Phlebotomus papatasi as revealed by microsatellite variation

O. Hamarsheh; W. Presber; M. -R. Yaghoobi-Ershadi; A. Amro; A. Al-Jawabreh; S. Sawalha; A. Al-Lahem; M. L. Das; S. Guernaoui; N. Seridi; R. C. Dhiman; J. Ghrab; M. Hassan; G. Schoenian; Y. Hashiguchi

Population structure and geographical subdivision of the Leishmania major vector Phlebotomus papatasi as revealed by microsatellite variation

O. Hamarsheh ¹ W. Presber ² M. -R. Yaghoobi-Ershadi ^{3, 4} A. Amro ^{2, 5} A. Al-Jawabreh ⁶ S. Sawalha ⁷ A. Al-Lahem ⁸ M. L. Das ⁹ S. Guernaoui ¹⁰ N. Seridi ¹¹ R. C. Dhiman ¹² J. Ghrab ¹³ M. Hassan ¹⁴ G. Schoenian ² Y. Hashiguchi ¹⁵

1 Dept Biol Sci

2 Dept Parasitol

3 University of Tehran

4 Dept Med Entomol & Vector Control

5 Leishmaniasis Res Lab

6 Leishmania Res Unit, Jericho

7 Dept Primary Hlth Care

8 Dept Zool

9 Dept Microbiol

10 Lab Ecol Anim Terrestre

11 Genet Lab

12 Natl Inst Malaria Res ICMR

13 Institut Pasteur de Tunis

14 Natl Res Ctr, Res Inst Trop Med

15 Dept Parasitol

Abstract : Multi-locus microsatellite typing (MLMT) has been employed to infer the population structure of Phlebotomus papatasi (Scopoli) (Diptera: Psychodidae) sandflies and assign individuals to populations. Phlebotomus papatasi sandflies were collected from 35 sites in 15 countries. A total of 188 P. papatasi individuals were typed using five microsatellite loci, resulting in 113 different genotypes. Unique microsatellite signatures were observed for some of the populations analysed. Comparable results were obtained when the data were analysed with Bayesian model and distance-based methods. Bayesian statistic-based analyses split the dataset into two distinct genetic clusters, A and B, with further substructuring within each. Population A consisted of five subpopulations representing large numbers of alleles that were correlated with the geographical origins of the sandflies. Cluster B comprised individuals collected in the Middle East and the northern Mediterranean area. The subpopulations B1 and B2 did not, however, show any further correlation to geographical origin. The genetic differentiation between subpopulations was supported by F statistics showing statistically significant (Bonferroni-corrected P < 0.005) values of 0.221 between B2 and B1 and 0.816 between A5 and A4. Identification of the genetic structure of P. papatasi populations is important for understanding the patterns of dispersal of this species and to developing strategies for sandfly control.

Keywords : Leishmania major Phlebotomus papatasi microsatellites population structure sandflies

Document type :

Journal articles

Domain :

Life Sciences [q-bio]

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Submitted on : Tuesday, December 6, 2016 - 3:25:59 PM
Last modification on : Monday, October 8, 2018 - 5:44:08 PM

Population structure and geographical subdivision of the Leishmania major vector Phlebotomus papatasi as revealed by microsatellite variation

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Population structure and geographical subdivision of the Leishmania major vector Phlebotomus papatasi as revealed by microsatellite variation

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