Vayssier-Taussat Muriel, Moutailler Sara, Michelet Lorraine, Devillers Elodie, Bonnet Sarah, Cheval Justine, Hébert Charles, Eloit Marc
USC Bipar, INRA, Anses, Maisons-Alfort, France.
PLoS One. 2013 Nov 27;8(11):e81439. doi: 10.1371/journal.pone.0081439. eCollection 2013.
Ticks are highly susceptible to global environmental and socio-economical changes. Several tick-borne pathogens have been reported in new geographical regions while new species, strains or genetic variants of tick-borne microorganisms are continually being detected. However, tick-borne pathogens are still poorly understood, and it is estimated that half of all human tick-borne disease has an unknown origin. Therefore in order to prevent these diseases, more effort is required to identify unknown or unexpected tick-borne pathogens. Ixodes ricinus is the vector for a broad range of bacterial pathogens and the most prevalent tick in Europe. The aim of the present study was to evaluate the capability of Next Generation Sequencing (NGS) to extend the inventory of pathogenic bacteria carried by this species of tick in France.
RNA and DNA were extracted from 1450 I. ricinus questing nymphs collected by flagging in Alsace, France. RNA was pooled and used for NGS. Following de novo assembly, bacterial contigs were assigned to the closest known taxonomy. DNA was used for real time PCR to confirm taxonomic species assignment of NGS-derived contigs for the doubtful cases, and for determination of prevalence.
We have generated a global in-depth picture of tick-borne bacteria. We identified RNA from the main pathogenic bacterial species known to be transmitted by I. ricinus. In addition we also identified unanticipated bacterial species for which we have estimated the prevalence within those ticks inhabiting the studied areas.
The data obtained from this study has proven that NGS has an enormous potential to detect the unexpected and provides the means to monitor pathogen occurrence.
蜱对全球环境和社会经济变化高度敏感。在新的地理区域已报告了几种蜱传病原体,同时蜱传微生物的新物种、菌株或基因变体也不断被发现。然而,人们对蜱传病原体仍知之甚少,据估计,所有人类蜱传疾病中有一半病因不明。因此,为了预防这些疾病,需要付出更多努力来识别未知或意外的蜱传病原体。蓖麻硬蜱是多种细菌病原体的传播媒介,也是欧洲最常见的蜱。本研究的目的是评估下一代测序(NGS)扩展法国该种蜱携带的致病细菌清单的能力。
从法国阿尔萨斯通过旗标法采集的1450只正在 questing 的蓖麻硬蜱若虫中提取RNA和DNA。将RNA汇集并用于NGS。经过从头组装后,将细菌重叠群指定为最接近的已知分类学。DNA用于实时PCR,以确认NGS衍生重叠群在可疑病例中的分类物种归属,并用于确定患病率。
我们绘制了蜱传细菌的全面深入图谱。我们鉴定出了已知由蓖麻硬蜱传播的主要致病细菌物种的RNA。此外,我们还鉴定出了意料之外的细菌物种,并估计了它们在研究区域蜱中的患病率。
本研究获得的数据证明,NGS在检测意外情况方面具有巨大潜力,并提供了监测病原体出现的手段。