Sperling Janet L, Silva-Brandão K L, Brandão M M, Lloyd V K, Dang S, Davis C S, Sperling F A H, Magor K E
Department of Biological Sciences, University of Alberta, Canada.
Department of Biological Sciences, University of Alberta, Canada; Centro de Biologia Molecular e Engenharia Genética, Universidade Estadual de Campinas, Brazil.
Ticks Tick Borne Dis. 2017 Jun;8(4):453-461. doi: 10.1016/j.ttbdis.2017.02.002. Epub 2017 Feb 9.
Ticks vector diverse pathogenic bacteria that are important to identify in public health and veterinary contexts. Technological advances in high throughput sequencing have given an unprecedented opportunity to comprehensively characterize bacterial associates of ticks, but recent studies have used different 16S rRNA variable regions and sequence read lengths with little consideration of whether they reveal the same bacterial diversity. We compare the effectiveness of bacterial surveys using three library preparations across nine 16S variable regions and a set of 12 tick specimens (Acari: Ixodidae). We identify the bacterial assemblages present in extractions from wild-collected Ixodes scapularis from two regions of Canada, and provide the first microbiome survey for Ixodes angustus. Four bacterial families accounted for most diversity, with Rickettsiaceae being replaced as most common by Enterobacteriaceae or Pseudomonadaceae in some I. scapularis, and Francisellaceae being most abundant in I. angustus. The commercially available Ion 16S kit, based on 6 amplicons representing 16S regions V2, V3, V4, V67, V8 and V9, gave the most comprehensive estimates of bacterial families, with the Ion V4 amplicon generally giving the highest estimated diversity. Sequencing of the V4 amplicon by the MR DNA commercial service also provided cost effective assays of tick microbiomes that were within the range of results from the Ion 16S kit. Subtraction of the number of reads found in an extraction control sample lowered estimates of the number of bacterial families by approximately half. Our study shows that diversity patterns obtained from 16S microbiome surveys depend on the amplicon and protocol used, demonstrating that more than one marker region is needed to provide reliable inferences.
蜱虫传播多种致病细菌,在公共卫生和兽医领域识别这些细菌非常重要。高通量测序技术的进步为全面表征蜱虫的细菌共生体提供了前所未有的机会,但最近的研究使用了不同的16S rRNA可变区和序列读取长度,几乎没有考虑它们是否揭示相同的细菌多样性。我们比较了使用三种文库制备方法对九个16S可变区和一组12个蜱虫标本(蜱螨目:硬蜱科)进行细菌调查的有效性。我们确定了从加拿大两个地区野生采集的肩突硬蜱提取物中存在的细菌群落,并首次对狭翅硬蜱进行了微生物组调查。四个细菌科占了大部分的多样性,在一些肩突硬蜱中,立克次氏体科不再是最常见的,取而代之的是肠杆菌科或假单胞菌科,而弗朗西斯菌科在狭翅硬蜱中最为丰富。基于代表16S区域V2、V3、V4、V67、V8和V9的6个扩增子的市售Ion 16S试剂盒,对细菌科的估计最为全面,Ion V4扩增子通常给出最高的估计多样性。MR DNA商业服务对V4扩增子的测序也提供了经济有效的蜱虫微生物组检测方法,其结果在Ion 16S试剂盒的结果范围内。从提取对照样品中发现的读取数中减去后,细菌科数量的估计值降低了约一半。我们的研究表明,从16S微生物组调查中获得的多样性模式取决于所使用的扩增子和方案,这表明需要不止一个标记区域才能提供可靠的推断。