Abstract

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.

Highlights

  • IntroductionOptimization of experimental methods to generate viral-particle metagenomes (viromes) from aquatic samples has enabled robust ecological analyses of marine viral communities (reviewed in Brum & Sullivan, 2015; Sullivan, Weitz & Wilhelm, 2017; Hayes et al, 2017)

  • Optimization of experimental methods to generate viral-particle metagenomes from aquatic samples has enabled robust ecological analyses of marine viral communities

  • Experiment 1: different DNA extraction methods display variable efficiencies and recover distinct Viral operational taxonomic units (vOTUs) In Experiment 1, three DNA extraction methods were evaluated for DNA yield and purity: PowerSoil DNA extraction kits, Wizard mini columns, and a classic molecular biological approach using cetyl trimethylammonium bromide (CTAB)

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Summary

Introduction

Optimization of experimental methods to generate viral-particle metagenomes (viromes) from aquatic samples has enabled robust ecological analyses of marine viral communities (reviewed in Brum & Sullivan, 2015; Sullivan, Weitz & Wilhelm, 2017; Hayes et al, 2017). Optimization of informatics methods to identify and characterize viral sequences has advanced viral sequence recovery from microbial-cell metagenomes, as well as virome analyses (Edwards & Rohwer, 2005; Wommack et al, 2012; Roux et al, 2015; Brum & Sullivan, 2015; Roux et al, 2016; Bolduc et al, 2017; Ren et al, 2017; Amgarten et al, 2018; Gregory et al, 2019) Application of these methods with large-scale sampling (Brum et al, 2015; Roux et al, 2016) has revealed viruses as important members of ocean ecosystems acting through host mortality, gene transfer, and direct manipulation of key microbial metabolisms including photosynthesis and central carbon metabolism during infection, via expression of viral-encoded ‘auxiliary metabolic genes’ (AMGs). The abundance of several key viral populations was identified as the best predictor of global carbon (C) flux from the surface oceans to the deep sea (Guidi et al, 2016) This finding suggests that viruses may play a role beyond the viral shunt and help form aggregates that may store C long-term. These discoveries in the oceans have caused a paradigm shift in how we view viruses: no longer disease agents, it is clear that viruses play central roles in ocean ecosystems and help regulate global nutrient cycling

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