Gu Xiaoqiong, Yang Yi, Mao Feijian, Lee Wei Lin, Armas Federica, You Fang, Needham David M, Ng Charmaine, Chen Hongjie, Chandra Franciscus, Gin Karina Yew-Hoong
Department of Civil and Environmental Engineering National University of Singapore Singapore Singapore.
Antimicrobial Resistance Interdisciplinary Research Group Singapore-MIT Alliance for Research and Technology Singapore Singapore.
Imeta. 2022 Jul 28;1(3):e39. doi: 10.1002/imt2.39. eCollection 2022 Sep.
Traditional or "bulk" viral enrichment and amplification methods used in viral metagenomics introduce unavoidable bias in viral diversity. This bias is due to shortcomings in existing viral enrichment methods and overshadowing by the more abundant viral populations. To reduce the complexity and improve the resolution of viral diversity, we developed a strategy coupling fluorescence-activated cell sorting (FACS) with random amplification and compared this to bulk metagenomics. This strategy was validated on both influent and effluent samples from a municipal wastewater treatment plant using the Modified Ludzack-Ettinger (MLE) process as the treatment method. We found that DNA and RNA communities generated using bulk samples were mostly different from those derived following FACS for both treatments before and after MLE. Before MLE treatment, FACS identified five viral families and 512 viral annotated contigs. Up to 43% of mapped reads were not detected in bulk samples. Nucleo-cytoplasmic large DNA viral families were enriched to a greater extent in the FACS-coupled subpopulations compared with bulk samples. FACS-coupled viromes captured a single-contig viral genome associated with Anabaena phage, which was not observed in bulk samples or in FACS-sorted samples after MLE. These short metagenomic reads, which were assembled into a high-quality draft genome of 46 kbp, were found to be highly dominant in one of the pre-MLE FACS annotated virome fractions (57.4%). Using bulk metagenomics, we identified that between Primary Settling Tank and Secondary Settling Tank viromes, , , , , , and were susceptible to MLE treatment. In all, bulk and FACS-coupled metagenomics are complementary approaches that enable a more thorough understanding of the community structure of DNA and RNA viruses in complex environmental samples, of which the latter is critical for increasing the sensitivity of detection of viral signatures that would otherwise be lost through bulk viral metagenomics.
病毒宏基因组学中使用的传统或“大量”病毒富集和扩增方法在病毒多样性方面引入了不可避免的偏差。这种偏差是由于现有病毒富集方法的缺点以及更丰富的病毒群体的掩盖。为了降低复杂性并提高病毒多样性的分辨率,我们开发了一种将荧光激活细胞分选(FACS)与随机扩增相结合的策略,并将其与大量宏基因组学进行比较。该策略在使用改良的Ludzack-Ettinger(MLE)工艺作为处理方法的城市污水处理厂的进水和出水样本上进行了验证。我们发现,对于MLE处理前后的两种处理,使用大量样本生成的DNA和RNA群落与FACS处理后得到的群落大多不同。在MLE处理之前,FACS鉴定出五个病毒科和512个病毒注释重叠群。在大量样本中未检测到高达43%的映射读数。与大量样本相比,核质大DNA病毒科在FACS耦合的亚群中富集程度更高。FACS耦合的病毒群落捕获了一个与鱼腥藻噬菌体相关的单重叠群病毒基因组,该基因组在大量样本或MLE后的FACS分选样本中均未观察到。这些短的宏基因组读数被组装成一个46 kbp的高质量草图基因组,发现在MLE前FACS注释的病毒群落部分之一中高度占主导地位(57.4%)。使用大量宏基因组学,我们确定在初沉池和二沉池病毒群落之间, , , , , ,以及 对MLE处理敏感。总之,大量和FACS耦合的宏基因组学是互补的方法,能够更全面地了解复杂环境样本中DNA和RNA病毒的群落结构,其中后者对于提高检测病毒特征的灵敏度至关重要,否则这些特征会因大量病毒宏基因组学而丢失。