The Diversity and Geographical Structure of Orientia tsutsugamushi Strains from Scrub Typhus Patients in Laos

被引:22
|
作者
Phetsouvanh, Rattanaphone [1 ]
Sonthayanon, Piengchan [2 ,3 ]
Pukrittayakamee, Sasithon [4 ]
Paris, Daniel H. [3 ,5 ]
Newton, Paul N. [1 ]
Feil, Edward J. [6 ]
Day, Nicholas P. J. [3 ,5 ]
机构
[1] Mahosot Hosp, Microbiol Lab, Lao Oxford Mahosot Hosp Wellcome Trust Res Unit, Viangchan, Laos PDR, Laos
[2] Mahidol Univ, Fac Trop Med, Dept Mol Trop Med & Genet, Bangkok 10700, Thailand
[3] Mahidol Univ, Fac Trop Med, Mahidol Oxford Trop Med Res Unit, Bangkok 10700, Thailand
[4] Mahidol Univ, Fac Trop Med, Dept Clin Trop Med, Bangkok 10700, Thailand
[5] Univ Oxford, Nuffield Dept Clin Med, Ctr Trop Med & Global Hlth, Oxford, England
[6] Univ Bath, Dept Biol & Biochem, Bath BA2 7AY, Avon, England
来源
PLOS NEGLECTED TROPICAL DISEASES | 2015年 / 9卷 / 08期
基金
英国惠康基金;
关键词
MURINE TYPHUS; RECOMBINATION; ASSAYS; INFECTIONS; VIENTIANE; DIAGNOSIS; GENOTYPES; ACCURACY; EBURST; FEVER;
D O I
10.1371/journal.pntd.0004024
中图分类号
R51 [传染病];
学科分类号
100401 ;
摘要
Orientia tsutsugamushi is the causative agent of scrub typhus, a disease transmitted by Leptotrombidium mites which is responsible for a severe and under-reported public health burden throughout Southeast Asia. Here we use multilocus sequence typing (MLST) to characterize 74 clinical isolates from three geographic locations in the Lao PDR (Laos), and compare them with isolates described from Udon Thani, northeast Thailand. The data confirm high levels of diversity and recombination within the natural O. tsutsugamushi population, and a rate of mixed infection of similar to 8%. We compared the relationships and geographical structuring of the strains and populations using allele based approaches (eBURST), phylo-genetic approaches, and by calculating F-statistics (F-ST). These analyses all point towards low levels of population differentiation between isolates from Vientiane and Udon Thani, cities which straddle the Mekong River which defines the Lao/Thai border, but with a very distinct population in Salavan, southern Laos. These data highlight how land use, as well as the movement of hosts and vectors, may impact on the epidemiology of zoonotic infections.
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页数:16
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