Institute of Food, Nutrition and Health, ETH Zurich, 8092, Zurich, Switzerland.
Departamento de Producción Vegetal y Microbiología, Universidad Miguel Hernández, San Juan de Alicante, Alicante, Spain.
Microbiome. 2020 Feb 11;8(1):17. doi: 10.1186/s40168-020-0795-2.
Bacteriophages (phages) are the most numerous biological entities on Earth and play a crucial role in shaping microbial communities. Investigating the bacteriophage community from soil will shed light not only on the yet largely unknown phage diversity, but may also result in novel insights towards their functioning in the global biogeochemical nutrient cycle and their significance in earthbound ecosystems. Unfortunately, information about soil viromes is rather scarce compared to aquatic environments, due to the heterogeneous soil matrix, which rises major technical difficulties in the extraction process. Resolving these technical challenges and establishing a standardized extraction protocol is, therefore, a fundamental prerequisite for replicable results and comparative virome studies.
We here report the optimization of protocols for the extraction of phage DNA from agricultural soil preceding metagenomic analysis such that the protocol can equally be harnessed for phage isolation. As an optimization strategy, soil samples were spiked with Listeria phage A511 (Myovirus), Staphylococcus phage 2638AΔLCR (Siphovirus) and Escherichia phage T7 (Podovirus) (each 10 PFU/g soil). The efficacy of phage (i) elution, (ii) filtration, (iii) concentration and (iv) DNA extraction methods was tested. Successful extraction routes were selected based on spiked phage recovery and low bacterial 16S rRNA gene contaminants. Natural agricultural soil viromes were then extracted with the optimized methods and shotgun sequenced. Our approach yielded sufficient amounts of inhibitor-free viral DNA for shotgun sequencing devoid of amplification prior library preparation, and low 16S rRNA gene contamination levels (≤ 0.2‰). Compared to previously published protocols, the number of bacterial read contamination was decreased by 65%. In addition, 379 novel putative complete soil phage genomes (≤ 235 kb) were obtained from over 13,000 manually identified viral contigs, promising the discovery of a large, previously inaccessible viral diversity.
We have shown a considerably enhanced extraction of the soil phage community by protocol optimization that has proven robust in both culture-dependent as well as through viromic analyses. Our huge data set of manually curated soil viral contigs substantially increases the amount of currently available soil virome data, and provides insights into the yet largely undescribed soil viral sequence space.
噬菌体(phages)是地球上数量最多的生物实体,在塑造微生物群落方面发挥着至关重要的作用。研究土壤中的噬菌体群落不仅可以揭示尚未完全了解的噬菌体多样性,还可能为其在全球生物地球化学养分循环中的功能以及在陆基生态系统中的重要性提供新的见解。然而,与水生环境相比,土壤病毒组的信息相对较少,这是由于土壤基质的异质性给提取过程带来了重大技术难题。因此,解决这些技术挑战并建立标准化的提取方案是可重复结果和比较病毒组研究的基本前提。
我们在此报告了优化从农业土壤中提取噬菌体 DNA 的方案,以便进行宏基因组分析,同时也可以用于噬菌体分离。作为优化策略,将李斯特菌噬菌体 A511(肌尾噬菌体)、金黄色葡萄球菌噬菌体 2638AΔLCR(长尾噬菌体)和大肠杆菌噬菌体 T7(短尾噬菌体)(每种 10 PFU/g 土壤)加入土壤样本中进行接种。测试了噬菌体(i)洗脱、(ii)过滤、(iii)浓缩和(iv)DNA 提取方法的效果。根据接种噬菌体的回收率和低细菌 16S rRNA 基因污染物的情况选择了成功的提取途径。然后,使用优化的方法提取天然农业土壤病毒组并进行鸟枪法测序。我们的方法为无需在文库制备前进行扩增即可进行鸟枪法测序的无抑制剂病毒 DNA 提供了足够的量,并且细菌 16S rRNA 基因污染水平较低(≤0.2‰)。与以前发表的方案相比,细菌读段污染的数量减少了 65%。此外,从超过 13000 个手动鉴定的病毒连续体中获得了 379 个新的、可能完整的土壤噬菌体基因组(≤235kb),有望发现大量以前无法获取的病毒多样性。
通过优化方案,我们已经证明可以更有效地提取土壤噬菌体群落,该方案在依赖培养的分析以及通过病毒组分析中都具有稳健性。我们大量经过人工整理的土壤病毒连续体数据集大大增加了当前可用的土壤病毒组数据量,并为尚未完全描述的土壤病毒空间提供了新的见解。