Bioscience Division, Los Alamos National Laboratory, Los Alamos, NM, USA.
BMC Microbiol. 2013 Nov 27;13:270. doi: 10.1186/1471-2180-13-270.
Single cell genomics has revolutionized microbial sequencing, but complete coverage of genomes in complex microbiomes is imperfect due to enormous variation in organismal abundance and amplification bias. Empirical methods that complement rapidly improving bioinformatic tools will improve characterization of microbiomes and facilitate better genome coverage for low abundance microbes.
We describe a new approach to sequencing individual species from microbiomes that combines antibody phage display against intact bacteria with fluorescence activated cell sorting (FACS). Single chain (scFv) antibodies are selected using phage display against a bacteria or microbial community, resulting in species-specific antibodies that can be used in FACS for relative quantification of an organism in a community, as well as enrichment or depletion prior to genome sequencing.
We selected antibodies against Lactobacillus acidophilus and demonstrate a FACS-based approach for identification and enrichment of the organism from both laboratory-cultured and commercially derived bacterial mixtures. The ability to selectively enrich for L. acidophilus when it is present at a very low abundance (<0.2%) leads to complete (>99.8%) de novo genome coverage whereas the standard single-cell sequencing approach is incomplete (<68%). We show that specific antibodies can be selected against L. acidophilus when the monoculture is used as antigen as well as when a community of 10 closely related species is used demonstrating that in principal antibodies can be generated against individual organisms within microbial communities.
The approach presented here demonstrates that phage-selected antibodies against bacteria enable identification, enrichment of rare species, and depletion of abundant organisms making it tractable to virtually any microbe or microbial community. Combining antibody specificity with FACS provides a new approach for characterizing and manipulating microbial communities prior to genome sequencing.
单细胞基因组学彻底改变了微生物测序,但由于生物丰度的巨大变化和扩增偏差,复杂微生物组中的基因组完全覆盖并不完美。补充快速改进的生物信息学工具的经验方法将改善微生物组的特征描述,并为低丰度微生物提供更好的基因组覆盖。
我们描述了一种从微生物组中对单个物种进行测序的新方法,该方法将针对完整细菌的抗体噬菌体展示与荧光激活细胞分选(FACS)相结合。使用噬菌体展示针对细菌或微生物群落选择单链(scFv)抗体,从而产生可用于群落中生物体相对定量以及基因组测序前富集或耗尽的物种特异性抗体。
我们选择了针对嗜酸乳杆菌的抗体,并展示了一种基于 FACS 的方法,用于从实验室培养和商业衍生的细菌混合物中鉴定和富集该生物体。当它以非常低的丰度(<0.2%)存在时,能够选择性地富集嗜酸乳杆菌会导致完整(>99.8%)从头基因组覆盖,而标准的单细胞测序方法则不完整(<68%)。我们表明,当使用单培养物作为抗原以及使用 10 种密切相关的物种群落时,可以针对嗜酸乳杆菌选择特异性抗体,这表明原则上可以针对微生物群落中的单个生物体产生抗体。
这里提出的方法表明,针对细菌的噬菌体选择抗体能够识别、富集稀有物种,并耗尽丰富的生物体,从而使其能够实际应用于任何微生物或微生物群落。将抗体特异性与 FACS 相结合,为在进行基因组测序之前对微生物群落进行特征描述和操作提供了一种新方法。