Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ 85721, USA.
Environ Microbiol. 2013 May;15(5):1428-40. doi: 10.1111/j.1462-2920.2012.02836.x. Epub 2012 Jul 30.
Viruses have global impact through mortality, nutrient cycling and horizontal gene transfer, yet their study is limited by complex methodologies with little validation. Here, we use triplicate metagenomes to compare common aquatic viral concentration and purification methods across four combinations as follows: (i) tangential flow filtration (TFF) and DNase + CsCl, (ii) FeCl3 precipitation and DNase, (iii) FeCl3 precipitation and DNase + CsCl and (iv) FeCl3 precipitation and DNase + sucrose. Taxonomic data (30% of reads) suggested that purification methods were statistically indistinguishable at any taxonomic level while concentration methods were significantly different at family and genus levels. Specifically, TFF-concentrated viral metagenomes had significantly fewer abundant viral types (Podoviridae and Phycodnaviridae) and more variability among Myoviridae than FeCl3 -precipitated viral metagenomes. More comprehensive analyses using protein clusters (66% of reads) and k-mers (100% of reads) showed 50-53% of these data were common to all four methods, and revealed trace bacterial DNA contamination in TFF-concentrated metagenomes and one of three replicates concentrated using FeCl3 and purified by DNase alone. Shared k-mer analyses also revealed that polymerases used in amplification impact the resulting metagenomes, with TaKaRa enriching for 'rare' reads relative to PfuTurbo. Together these results provide empirical data for making experimental design decisions in culture-independent viral ecology studies.
病毒通过死亡率、养分循环和水平基因转移产生全球性影响,但由于方法复杂且验证较少,其研究受到限制。在这里,我们使用三份宏基因组来比较以下四种组合中常见的水生病毒浓缩和纯化方法:(i)切向流过滤(TFF)和 DNase + CsCl,(ii)FeCl3 沉淀和 DNase,(iii)FeCl3 沉淀和 DNase + CsCl 以及(iv)FeCl3 沉淀和 DNase +蔗糖。分类数据(占读取量的 30%)表明,在任何分类水平上,纯化方法在统计学上没有区别,而浓缩方法在科和属水平上有显著差异。具体来说,TFF 浓缩的病毒宏基因组中具有显著较少丰富的病毒类型(肌尾病毒科和藻病毒科),并且 Myoviridae 之间的变异性大于 FeCl3 沉淀的病毒宏基因组。使用蛋白质簇(占读取量的 66%)和 k-mer(占读取量的 100%)进行更全面的分析表明,这些数据中有 50-53%是所有四种方法共有的,并揭示了 TFF 浓缩宏基因组中存在痕量细菌 DNA 污染,以及用 FeCl3 浓缩的三个重复实验之一,单独用 DNase 纯化时也存在污染。共享 k-mer 分析还表明,在扩增中使用的聚合酶会影响产生的宏基因组,与 PfuTurbo 相比,TaKaRa 富集了“稀有”reads。这些结果共同为在非培养病毒生态学研究中做出实验设计决策提供了经验数据。