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Development of polymorphic EST microsatellite markers for the sand fly, Phlebotomus papatasi (Diptera: Psychodidae)

机译:沙蝇多晶型微卫星标志物的开发,Phlebotomus Papatasi(Diptera:Psychodidae)

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摘要

Abstract Background Phlebotomus papatasi is a widely distributed sand fly species in different tropical and sub-tropical regions including the Middle East and North Africa. It is considered an important vector that transmits Leishmania major parasites, the causative agents of cutaneous leishmaniasis. The development of microsatellite markers for this sand fly vector is of high interest to understand its population structure and to monitor its geographic dispersal. Results Fourteen polymorphic microsatellite markers were developed with simple di-, tri- and tetra-nucleotide repeats. The F statistics calculated for the 14 markers revealed high genetic diversity; expected heterozygosity (He) ranged from 0.407 to 0.767, while observed heterozygosity (Ho) was lower and ranged from 0.083 to 0.514. The number of alleles sampled fall in the range of 9–29. Three out of 14 markers deviated from Hardy-Weinberg expectations, no significant linkage disequilibrium was detected and high values for inbreeding coefficient (F IS) were likely due to inbreeding. Conclusions The development of these functional microsatellites enable a high resolution of P. papatasi populations. It opens a path for researchers to perform multi locus-based population genetic structure analyses, and comparative mapping, a part of the efforts to uncover the population dynamics of this vector, which is an important global strategy for understanding the epidemiology and control of leishmaniasis.
机译:摘要背景Phlebotomus papatasi是一种广泛分布的沙子飞行物种,包括中东和北非的不同热带和亚热带地区。它被认为是一种重要的载体,传递莱山姆人主要寄生虫,这种皮肤嗜利亚患者的致病剂。这种沙子飞载体的微卫星标志物的发展具有很高的兴趣,以了解其人口结构并监测其地理分散。结果使用简单的二核,三核苷酸重复开发了14种多态微卫星标记物。为14个标记计算的F统计数据显示出高遗传多样性;预期的杂合性(HE)范围为0.407至0.767,而观察到的杂合子(HO)较低,范围为0.083至0.514。取样的等位基因数量落在9-29的范围内。从Hardy-Weinberg期望偏离的14个标记中的三个标记中,未检测到显着的联系不平衡,并且可能由于近亲繁殖,可能是近亲繁殖系数(F的高值)。结论这些功能性微卫星的发展能够高分辨率P.Papatasi人群。它开辟了研究人员进行多基因座的人口遗传结构分析和比较映射,以及揭示该载体人口动态的一部分的一部分,这是理解利什曼病的流行病学和控制的重要全球战略。

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