Trubl Gareth, Roux Simon, Solonenko Natalie, Li Yueh-Fen, Bolduc Benjamin, Rodríguez-Ramos Josué, Eloe-Fadrosh Emiley A, Rich Virginia I, Sullivan Matthew B
Department of Microbiology, The Ohio State University, Columbus, OH, United States of America.
Current affiliation: Physical and Life Sciences Directorate, Lawrence Livermore National Laboratory, Livermore, CA, United States of America.
PeerJ. 2019 Jul 4;7:e7265. doi: 10.7717/peerj.7265. eCollection 2019.
Soils impact global carbon cycling and their resident microbes are critical to their biogeochemical processing and ecosystem outputs. Based on studies in marine systems, viruses infecting soil microbes likely modulate host activities via mortality, horizontal gene transfer, and metabolic control. However, their roles remain largely unexplored due to technical challenges with separating, isolating, and extracting DNA from viruses in soils. Some of these challenges have been overcome by using whole genome amplification methods and while these have allowed insights into the identities of soil viruses and their genomes, their inherit biases have prevented meaningful ecological interpretations. Here we experimentally optimized steps for generating quantitatively-amplified viral metagenomes to better capture both ssDNA and dsDNA viruses across three distinct soil habitats along a permafrost thaw gradient. First, we assessed differing DNA extraction methods (PowerSoil, Wizard mini columns, and cetyl trimethylammonium bromide) for quantity and quality of viral DNA. This established PowerSoil as best for yield and quality of DNA from our samples, though ∼1/3 of the viral populations captured by each extraction kit were unique, suggesting appreciable differential biases among DNA extraction kits. Second, we evaluated the impact of purifying viral particles after resuspension (by cesium chloride gradients; CsCl) and of viral lysis method (heat vs bead-beating) on the resultant viromes. DNA yields after CsCl particle-purification were largely non-detectable, while unpurified samples yielded 1-2-fold more DNA after lysis by heat than by bead-beating. Virome quality was assessed by the number and size of metagenome-assembled viral contigs, which showed no increase after CsCl-purification, but did from heat lysis relative to bead-beating. We also evaluated sample preparation protocols for ssDNA virus recovery. In both CsCl-purified and non-purified samples, ssDNA viruses were successfully recovered by using the Accel-NGS 1S Plus Library Kit. While ssDNA viruses were identified in all three soil types, none were identified in the samples that used bead-beating, suggesting this lysis method may impact recovery. Further, 13 ssDNA vOTUs were identified compared to 582 dsDNA vOTUs, and the ssDNA vOTUs only accounted for ∼4% of the assembled reads, implying dsDNA viruses were dominant in these samples. This optimized approach was combined with the previously published viral resuspension protocol into a sample-to-virome protocol for soils now available at protocols.io, where community feedback creates 'living' protocols. This collective approach will be particularly valuable given the high physicochemical variability of soils, which will may require considerable soil type-specific optimization. This optimized protocol provides a starting place for developing quantitatively-amplified viromic datasets and will help enable viral ecogenomic studies on organic-rich soils.
土壤影响着全球碳循环,其所含微生物对于土壤的生物地球化学过程和生态系统产出至关重要。基于对海洋系统的研究,感染土壤微生物的病毒可能通过致死、水平基因转移和代谢控制来调节宿主活动。然而,由于在从土壤中的病毒分离、纯化和提取DNA方面存在技术挑战,它们的作用在很大程度上仍未得到探索。通过使用全基因组扩增方法,其中一些挑战已被克服,虽然这些方法使人们能够了解土壤病毒及其基因组的身份,但它们固有的偏差阻碍了有意义的生态学解释。在这里,我们通过实验优化了生成定量扩增病毒宏基因组的步骤,以更好地捕获沿多年冻土融化梯度的三个不同土壤生境中的单链DNA和双链DNA病毒。首先,我们评估了不同的DNA提取方法(PowerSoil、Wizard微型柱和十六烷基三甲基溴化铵)对病毒DNA数量和质量的影响。这确定了PowerSoil最适合从我们的样品中提取DNA的产量和质量,尽管每个提取试剂盒捕获的病毒群体中约有1/3是独特的,这表明DNA提取试剂盒之间存在明显的差异偏差。其次,我们评估了重悬后纯化病毒颗粒(通过氯化铯梯度;CsCl)以及病毒裂解方法(热裂解与珠磨法)对所得病毒群落的影响。CsCl颗粒纯化后的DNA产量在很大程度上无法检测到,而未纯化的样品在热裂解后产生的DNA比珠磨法多1-2倍。通过宏基因组组装的病毒重叠群的数量和大小评估病毒群落质量,结果表明CsCl纯化后没有增加,但热裂解相对于珠磨法有增加。我们还评估了单链DNA病毒回收的样品制备方案。在CsCl纯化和未纯化的样品中,使用Accel-NGS 1S Plus文库试剂盒都成功回收了单链DNA病毒。虽然在所有三种土壤类型中都鉴定出了单链DNA病毒,但在使用珠磨法的样品中未鉴定出任何单链DNA病毒,这表明这种裂解方法可能会影响回收率。此外,与582个双链DNA病毒操作分类单元相比,鉴定出了13个单链DNA病毒操作分类单元,并且单链DNA病毒操作分类单元仅占组装读数的约4%,这意味着双链DNA病毒在这些样品中占主导地位。这种优化方法与先前发表的病毒重悬方案相结合,形成了一种针对土壤的从样品到病毒群落的方案,现在可在protocols.io上获取,社区反馈可创建“动态”方案。鉴于土壤具有高度的物理化学变异性,可能需要针对特定土壤类型进行大量优化,这种综合方法将特别有价值。这种优化方案为开发定量扩增的病毒群落数据集提供了一个起点,并将有助于开展对富含有机质土壤的病毒生态基因组学研究。