Mantri Shrikant S, Negri Timo, Sales-Ortells Helena, Angelov Angel, Peter Silke, Neidhardt Harald, Oelmann Yvonne, Ziemert Nadine
Interfaculty Institute of Microbiology and Infection Medicine, University of Tübingengrid.10392.39, Tübingen, Germany.
Interfaculty Institute for Biomedical Informatics (IBMI), University of Tübingengrid.10392.39, Tübingen, Germany.
mSystems. 2021 Oct 26;6(5):e0101821. doi: 10.1128/mSystems.01018-21. Epub 2021 Oct 12.
Discovery of novel antibiotics is crucial for combating rapidly spreading antimicrobial resistance and new infectious diseases. Most of the clinically used antibiotics are natural products-secondary metabolites produced by soil microbes that can be cultured in the lab. Rediscovery of these secondary metabolites during discovery expeditions costs both time and resources. Metagenomics approaches can overcome this challenge by capturing both culturable and unculturable hidden microbial diversity. To be effective, such an approach should address questions like the following. Which sequencing method is better at capturing the microbial diversity and biosynthesis potential? What part of the soil should be sampled? Can patterns and correlations from such big-data explorations guide future novel natural product discovery surveys? Here, we address these questions by a paired amplicon and shotgun metagenomic sequencing survey of samples from soil horizons of multiple forest sites very close to each other. Metagenome mining identified numerous novel biosynthetic gene clusters (BGCs) and enzymatic domain sequences. Hybrid assembly of both long reads and short reads improved the metagenomic assembly and resulted in better BGC annotations. A higher percentage of novel domains was recovered from shotgun metagenome data sets than from amplicon data sets. Overall, in addition to revealing the biosynthetic potential of soil microbes, our results suggest the importance of sampling not only different soils but also their horizons to capture microbial and biosynthetic diversity and highlight the merits of metagenome sequencing methods. This study helped uncover the biosynthesis potential of forest soils via exploration of shotgun metagenome and amplicon sequencing methods and showed that both methods are needed to expose the full microbial diversity in soil. Based on our metagenome mining results, we suggest revising the historical strategy of sampling soils from far-flung places, as we found a significant number of novel and diverse BGCs and domains even in different soils that are very close to each other. Furthermore, sampling of different soil horizons can reveal the additional diversity that often remains hidden and is mainly caused by differences in environmental key parameters such as soil pH and nutrient content. This paired metagenomic survey identified diversity patterns and correlations, a step toward developing a rational approach for future natural product discovery surveys.
发现新型抗生素对于对抗迅速蔓延的抗菌耐药性和新型传染病至关重要。大多数临床使用的抗生素都是天然产物——土壤微生物产生的次级代谢产物,这些微生物可以在实验室中培养。在发现之旅中重新发现这些次级代谢产物既耗费时间又耗费资源。宏基因组学方法可以通过捕获可培养和不可培养的隐藏微生物多样性来克服这一挑战。为了有效,这种方法应该解决以下问题。哪种测序方法在捕获微生物多样性和生物合成潜力方面更好?应该采集土壤的哪一部分?这种大数据探索中的模式和相关性能否指导未来新型天然产物发现调查?在这里,我们通过对彼此非常接近的多个森林站点土壤层的样本进行配对扩增子和鸟枪法宏基因组测序调查来解决这些问题。宏基因组挖掘鉴定出了许多新型生物合成基因簇(BGCs)和酶结构域序列。长读长和短读长的混合组装改进了宏基因组组装,并产生了更好的BGC注释。从鸟枪法宏基因组数据集中回收的新型结构域百分比高于扩增子数据集。总体而言,除了揭示土壤微生物的生物合成潜力外,我们的结果表明不仅要对不同土壤进行采样,还要对其土壤层进行采样以捕获微生物和生物合成多样性的重要性,并突出了宏基因组测序方法的优点。 这项研究通过探索鸟枪法宏基因组和扩增子测序方法,帮助揭示了森林土壤的生物合成潜力,并表明需要这两种方法来揭示土壤中的全部微生物多样性。基于我们的宏基因组挖掘结果,我们建议修改从偏远地区采集土壤的历史策略,因为我们发现即使在彼此非常接近的不同土壤中也有大量新颖多样的BGCs和结构域。此外,对不同土壤层进行采样可以揭示通常隐藏的额外多样性,这主要是由土壤pH值和养分含量等环境关键参数的差异引起的。这种配对宏基因组调查确定了多样性模式和相关性,朝着为未来天然产物发现调查制定合理方法迈出了一步。