Innovation Center for Food Nutrition and Human Health, Beijing Engineering and Technology Research Center of Food Additives, School of Food and Health, Beijing Technology and Business University, Beijing, China.
Key Laboratory of Food Bioengineering, (China National Light Industry), College of Food Science and Nutritional Engineering, China Agricultural University, Beijing, China.
Appl Microbiol Biotechnol. 2022 Sep;106(17):5715-5728. doi: 10.1007/s00253-022-12083-x. Epub 2022 Jul 28.
High-throughput sequencing of ribosomal RNA (rRNA) amplicons has served as a cornerstone in microbiome studies. Despite crucial implication of organelle 16S rRNA measurements to host gut microbial activities, genomic DNA (gDNA) was overwhelmingly targeted for amplicon sequencings. Although gDNA could be a reliable resource for gene existing validation, little information is revealed in regard to the activity of microorganisms owing to the limited changes gDNA undertaken in inactive, dormant, and dead bacteria. We applied both rRNA- and gDNA-derived sequencings on mouse cecal contents. Respective experimental designs were verified to be suitable for nucleic acid (NA) purification. Via benchmarking, mainstream 16S rRNA hypervariable region targets and reference databases were proven adequate for respective amplicon sequencing study. In phylogenetic studies, significant microbial composition differences were observed between two methods. Desulfovibrio spp. (an important group of anaerobic gut microorganisms that has caused analytical difficulties), Pediococcus spp., and Proteobacteria were drastically lower as represented by gDNA-derived compositions, while microbes like Firmicutes were higher as represented by gDNA-derived microbiome compositions. Also, using PICRUSt2 as an example, we illustrated that rRNA-derived sequencing might be more suitable for microbiome function predictions since pathways like sugar metabolism were lower as represented by rRNA-derived results. The findings of this study demonstrated that rRNA-derived amplicon sequencing could improve identification capability of specific gut microorganisms and might be more suitable for in silico microbiome function predictions. Therefore, rRNA-derived amplicon sequencings, preferably coupled with gDNA-derived ones, could be used as a capable tool to unveil active microbial components in host gut. KEY POINTS: • Conventional pipelines were adequate for the respective amplicon sequencing study • Groups, such as Desulfovibrio spp., were differently represented by two methods • Comparative amplicon sequencings could be useful in host active microbiota studies.
核糖体 RNA(rRNA) 扩增子的高通量测序已成为微生物组研究的基石。尽管细胞器 16S rRNA 测量对宿主肠道微生物活动具有重要意义,但扩增子测序的目标主要是基因组 DNA(gDNA)。虽然 gDNA 可以作为现有基因验证的可靠资源,但由于 gDNA 在不活跃、休眠和死亡细菌中变化有限,微生物的活性信息很少被揭示。我们在小鼠盲肠内容物上同时进行 rRNA 和 gDNA 衍生的测序。各自的实验设计被验证适合核酸(NA) 纯化。通过基准测试,主流的 16S rRNA 高变区靶标和参考数据库被证明适用于各自的扩增子测序研究。在系统发育研究中,两种方法观察到微生物组成存在显著差异。通过 gDNA 衍生组成代表的脱硫弧菌属(一类引起分析困难的重要厌氧肠道微生物)、肠球菌属和变形菌门的数量明显减少,而厚壁菌门等微生物的数量则通过 gDNA 衍生微生物组组成代表增加。此外,以 PICRUSt2 为例,我们说明 rRNA 衍生测序可能更适合微生物组功能预测,因为糖代谢等途径的 rRNA 衍生结果较低。本研究的结果表明,rRNA 衍生的扩增子测序可以提高特定肠道微生物的鉴定能力,并且可能更适合于计算机微生物组功能预测。因此,rRNA 衍生的扩增子测序,最好与 gDNA 衍生的扩增子测序结合使用,可作为揭示宿主肠道中活跃微生物成分的有效工具。要点:• 常规流程适用于各自的扩增子测序研究• 两种方法对 Desulfovibrio spp.等群体的代表情况不同• 比较扩增子测序在宿主活跃微生物组研究中可能很有用。