Víquez-R Luis, Fleischer Ramona, Wilhelm Kerstin, Tschapka Marco, Sommer Simone
Institute for Evolutionary Ecology and Conservation Genomics University of Ulm Ulm Germany.
Smithsonian Tropical Research Institute Balboa Panama.
Ecol Evol. 2020 Sep 24;10(20):11779-11786. doi: 10.1002/ece3.6814. eCollection 2020 Oct.
As microbiome research moves away from model organisms to wildlife, new challenges for microbiome high-throughput sequencing arise caused by the variety of wildlife diets. High levels of contamination are commonly observed emanating from the host (mitochondria) or diet (chloroplast). Such high contamination levels affect the overall sequencing depth of wildlife samples thus decreasing statistical power and leading to poor performance in downstream analysis. We developed an amplification protocol utilizing PNA-DNA clamps to maximize the use of resources and to increase the sampling depth of true microbiome sequences in samples with high levels of plastid contamination. We chose two study organisms, a bat () and a bird (), both relying on heavy plant-based diets that sometimes lead to traces of plant-based fecal material producing high contamination signals from chloroplasts and mitochondria. On average, our protocol yielded a 13-fold increase in bacterial sequence amplification compared with the standard protocol (Earth Microbiome Protocol) used in wildlife research. For both focal species, we were able to increase significantly the percentage of sequences available for downstream analyses after the filtering of plastids and mitochondria. Our study presents the first results obtained by using PNA-DNA clamps to block the PCR amplification of chloroplast and mitochondrial DNA from the diet in the gut microbiome of wildlife. The method involves a cost-effective molecular technique instead of the filtering out of unwanted sequencing reads. As 33% and 26% of birds and bats, respectively, have a plant-based diet, the tool that we present here will optimize the sequencing and analysis of wild microbiomes.
随着微生物组研究从模式生物转向野生动物,野生动物饮食的多样性给微生物组高通量测序带来了新的挑战。通常观察到宿主(线粒体)或饮食(叶绿体)产生的高污染水平。如此高的污染水平会影响野生动物样本的整体测序深度,从而降低统计效力,并导致下游分析表现不佳。我们开发了一种利用肽核酸-脱氧核糖核酸(PNA-DNA)夹子的扩增方案,以最大限度地利用资源,并增加叶绿体污染水平高的样本中真实微生物组序列的采样深度。我们选择了两种研究生物,一种蝙蝠( )和一种鸟类( ),它们都依赖大量以植物为基础的饮食,有时会导致植物性粪便物质的痕迹,产生来自叶绿体和线粒体的高污染信号。平均而言,与野生动物研究中使用的标准方案(地球微生物组方案)相比,我们的方案使细菌序列扩增增加了13倍。对于这两个重点物种,在过滤叶绿体和线粒体后,我们能够显著提高可用于下游分析的序列百分比。我们的研究展示了通过使用PNA-DNA夹子来阻断野生动物肠道微生物组中饮食来源的叶绿体和线粒体DNA的PCR扩增所获得的首批结果。该方法涉及一种经济高效的分子技术,而不是过滤掉不需要的测序读数。由于分别有33%的鸟类和26%的蝙蝠以植物为基础的饮食,我们在此展示的工具将优化野生微生物组的测序和分析。