Kakirde Kavita S, Parsley Larissa C, Liles Mark R
Department of Biological Sciences, Auburn University, Auburn, AL 36849.
Soil Biol Biochem. 2010 Nov 1;42(11):1911-1923. doi: 10.1016/j.soilbio.2010.07.021.
Metagenomic analyses can provide extensive information on the structure, composition, and predicted gene functions of diverse environmental microbial assemblages. Each environment presents its own unique challenges to metagenomic investigation and requires a specifically designed approach to accommodate physicochemical and biotic factors unique to each environment that can pose technical hurdles and/or bias the metagenomic analyses. In particular, soils harbor an exceptional diversity of prokaryotes that are largely undescribed beyond the level of ribotype and are a potentially vast resource for natural product discovery. The successful application of a soil metagenomic approach depends on selecting the appropriate DNA extraction, purification, and if necessary, cloning methods for the intended downstream analyses. The most important technical considerations in a metagenomic study include obtaining a sufficient yield of high-purity DNA representing the targeted microorganisms within an environmental sample or enrichment and (if required) constructing a metagenomic library in a suitable vector and host. Size does matter in the context of the average insert size within a clone library or the sequence read length for a high-throughput sequencing approach. It is also imperative to select the appropriate metagenomic screening strategy to address the specific question(s) of interest, which should drive the selection of methods used in the earlier stages of a metagenomic project (e.g., DNA size, to clone or not to clone). Here, we present both the promising and problematic nature of soil metagenomics and discuss the factors that should be considered when selecting soil sampling, DNA extraction, purification, and cloning methods to implement based on the ultimate study objectives.
宏基因组分析可以提供有关各种环境微生物群落的结构、组成和预测基因功能的广泛信息。每个环境对宏基因组研究都提出了独特的挑战,需要一种专门设计的方法来适应每个环境特有的物理化学和生物因素,这些因素可能会带来技术障碍和/或使宏基因组分析产生偏差。特别是,土壤中含有异常丰富的原核生物多样性,除了核糖体类型水平之外,在很大程度上尚未被描述,并且是天然产物发现的潜在巨大资源。土壤宏基因组方法的成功应用取决于为预期的下游分析选择合适的DNA提取、纯化方法,以及必要时的克隆方法。宏基因组研究中最重要的技术考虑因素包括从环境样品或富集物中获得足够产量的代表目标微生物的高纯度DNA,以及(如果需要)在合适的载体和宿主中构建宏基因组文库。在克隆文库中的平均插入片段大小或高通量测序方法的序列读取长度方面,大小确实很重要。选择合适的宏基因组筛选策略以解决感兴趣的特定问题也至关重要,这应该驱动宏基因组项目早期阶段所使用方法的选择(例如,DNA大小、是否克隆)。在这里,我们展示了土壤宏基因组学既有前景又有问题的性质,并讨论了基于最终研究目标选择土壤采样、DNA提取、纯化和克隆方法时应考虑的因素。