Establishment of a novel tick-Babesia experimental infection model.
Establishment of a novel tick-Babesia experimental infection model.
复制标题
建立一种新型的tick虫实验感染模型。
DOI：
10.1038/srep37039
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发表时间：
2016-11-14
影响因子：
4.6
通讯作者：
Tanaka T
中科院分区：
文献类型：
--
作者：
Maeda H;Hatta T;Alim MA;Tsubokawa D;Mikami F;Matsubayashi M;Miyoshi T;Umemiya-Shirafuji R;Kawazu SI;Igarashi I;Mochizuki M;Tsuji N;Tanaka T
蜱是许多致命的人类和动物病原体的有效载体。蜱传巴贝斯虫病是一种公认的疟疾样疾病，在世界范围内发生，最近作为一种新兴的人畜共患病引起了越来越多的关注。尽管巴贝斯虫生物的增殖对媒介至关重要，但它们在蜱虫中迁移的详细生命周期和时间信息尚不清楚。利用人工饲养系统和定量PCR技术，建立了巴贝斯虫在媒介蜱长角血蜱中迁移速度的研究模型。膨胀后1 d，巴贝斯虫DNA在蜱中肠逐渐消失，而在其他脏器中呈上升趋势。结果表明，巴贝斯虫在充血后24小时内通过长角弓形虫的中肠，迁移到血淋巴，然后在除中肠外的其他器官中增殖。这个时间点可能是巴贝斯虫在蜱腔内迁移的重要时间点。我们还利用IFAT技术对实验感染的蜱虫及其卵中的巴贝斯虫进行了细胞骨架结构的可视化检测，表明巴贝斯虫成功感染了蜱虫并经卵巢传播。该模型将有助于进一步了解蜱虫与巴贝斯虫的相互作用。
Ticks are potent vectors of many deadly human and animal pathogens. Tick-borne babesiosis is a well-recognized malaria-like disease that occurs worldwide and recently has attracted increased attention as an emerging zoonosis. Although the proliferation of Babesia organisms is essential in the vectors, their detailed lifecycle with time information for migration in ticks remains unknown. A novel study model for the elucidation of the migration speed of Babesia parasites in their vector tick, Haemaphysalis longicornis, has been developed using an artificial feeding system with quantitative PCR method. The detectable DNA of Babesia parasites gradually disappeared in the tick midgut at 1 day post engorgement (DPE), and in contrary increased in other organs. The results indicated that the Babesia parasite passed the H. longicornis midgut within 24 hours post engorgement, migrated to the hemolymph, and then proliferated in the organs except the midgut. This time point may be an important curfew for Babesia parasites to migrate in the tick lumen. We also visualized the Babesia parasites in the experimentally infected ticks and in their eggs using IFAT for detecting their cytoskeletal structure, which suggested the successful tick infection and transovarial transmission of the parasite. This model will shed light on the further understanding of tick-Babesia interactions.
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影响因子：
4.4
作者：
Chauvin A;Moreau E;Bonnet S;Plantard O;Malandrin L
通讯作者：
Malandrin L
影响因子：
5.7
作者：
Hajdušek O;Síma R;Ayllón N;Jalovecká M;Perner J;de la Fuente J;Kopáček P
通讯作者：
Kopáček P
影响因子：
2.1
作者：
Macaluso, Kevin;Sonenshine, Daniel;Azad, Abdu
通讯作者：
Azad, Abdu
影响因子：
3.2
作者：
Liu, Xiang Ye;Cote, Martine;Bonnet, Sarah I.
通讯作者：
Bonnet, Sarah I.
影响因子：
9.4
作者：
Howell, Jeanne M.;Ueti, Massaro W.;Knowles, Donald P.
通讯作者：
Knowles, Donald P.