Simmons Tuesday, Caddell Daniel F, Deng Siwen, Coleman-Derr Devin
Department of Plant and Microbial Biology, University of California, Berkeley.
Department of Plant and Microbial Biology, University of California, Berkeley; Plant Gene Expression Center, USDA ARS;
J Vis Exp. 2018 May 2(135):57561. doi: 10.3791/57561.
The intimate interaction between plant host and associated microorganisms is crucial in determining plant fitness, and can foster improved tolerance to abiotic stresses and diseases. As the plant microbiome can be highly complex, low-cost, high-throughput methods such as amplicon-based sequencing of the 16S rRNA gene are often preferred for characterizing its microbial composition and diversity. However, the selection of appropriate methodology when conducting such experiments is critical for reducing biases that can make analysis and comparisons between samples and studies difficult. This protocol describes in detail a standardized methodology for the collection and extraction of DNA from soil, rhizosphere, and root samples. Additionally, we highlight a well-established 16S rRNA amplicon sequencing pipeline that allows for the exploration of the composition of bacterial communities in these samples, and can easily be adapted for other marker genes. This pipeline has been validated for a variety of plant species, including sorghum, maize, wheat, strawberry, and agave, and can help overcome issues associated with the contamination from plant organelles.
植物宿主与其相关微生物之间的密切相互作用对于决定植物的健康状况至关重要,并且能够增强植物对非生物胁迫和疾病的耐受性。由于植物微生物组可能高度复杂,因此通常首选低成本、高通量的方法,例如基于扩增子的16S rRNA基因测序,来表征其微生物组成和多样性。然而,进行此类实验时选择合适的方法对于减少可能导致样本和研究之间分析与比较困难的偏差至关重要。本方案详细描述了从土壤、根际和根系样本中收集和提取DNA的标准化方法。此外,我们重点介绍了一个成熟的16S rRNA扩增子测序流程,该流程可用于探索这些样本中细菌群落的组成,并且可以轻松适用于其他标记基因。此流程已在多种植物物种(包括高粱、玉米、小麦、草莓和龙舌兰)中得到验证,并且有助于克服与植物细胞器污染相关的问题。