Yao Yuan, Rao Subramanya, Habimana Olivier
The School of Biological Sciences, Faculty of Science, The University of Hong Kong, Pokfulam, Hong Kong.
The University of Hong Kong Shenzhen Institute of Research and Innovation (HKU-SIRI), Shenzhen, China.
Front Microbiol. 2021 Apr 16;12:588025. doi: 10.3389/fmicb.2021.588025. eCollection 2021.
Advances in high-throughput sequencing technologies have enabled extensive studies of freshwater biofilms and significant breakthroughs in biofilm meta-omics. To date, however, no standardized protocols have been developed for the effective isolation of RNA from freshwater benthic biofilms. In this study, we compared column-based kit RNA extraction with five RNAzol-based extractions, differentiated by various protocol modifications. The RNA products were then evaluated to determine their integrity, purity and yield and were subjected to meta-transcriptomic sequencing and analysis. Significant discrepancies in the relative abundance of active communities and structures of eukaryotic, bacterial, archaebacterial, and viral communities were observed as direct outcomes of the tested RNA extraction methods. The column isolation-based group was characterized by the highest relative abundance of Archaea and Eukaryota, while the organic isolation-based groups commonly had the highest relative abundances of Prokaryota (bacteria). Kit extraction methods provided the best outcomes in terms of high-quality RNA yield and integrity. However, these methods were deemed questionable for studies of active bacterial communities and may contribute a significant degree of bias to the interpretation of downstream meta-transcriptomic analyses.
高通量测序技术的进步使得对淡水生物膜的广泛研究以及生物膜宏基因组学取得了重大突破。然而,迄今为止,尚未开发出用于从淡水底栖生物膜中有效分离RNA的标准化方案。在本研究中,我们将基于柱式试剂盒的RNA提取方法与五种基于RNAzol的提取方法进行了比较,这些方法通过各种方案修改而有所不同。然后对RNA产物进行评估,以确定其完整性、纯度和产量,并进行宏转录组测序和分析。作为所测试的RNA提取方法的直接结果,观察到真核生物、细菌、古细菌和病毒群落的活性群落相对丰度和结构存在显著差异。基于柱分离的组中,古菌和真核生物的相对丰度最高,而基于有机分离的组中,原核生物(细菌)的相对丰度通常最高。试剂盒提取方法在高质量RNA产量和完整性方面提供了最佳结果。然而,这些方法对于活性细菌群落的研究被认为存在问题,并且可能会对下游宏转录组分析的解释造成很大程度的偏差。