Ravi Anuradha, Avershina Ekaterina, Angell Inga Leena, Ludvigsen Jane, Manohar Prasanth, Padmanaban Sumathi, Nachimuthu Ramesh, Snipen Lars, Rudi Knut
Faculty of Chemistry, Biotechnology and Food Science, Norwegian University of Life Sciences, Ås, Norway.
Antibiotic Resistance and Phage Therapy Laboratory, Department of Biomedical Sciences, School of Bioscience and Technology, Vellore Institute of Technology, Tamil Nadu, India.
J Microbiol Methods. 2018 Jun;149:44-52. doi: 10.1016/j.mimet.2018.02.016. Epub 2018 Mar 1.
Use of the 16S rRNA gene in microbiota studies is limited by the lack of taxonomic and functional resolution. High resolution analyses are particularly important for understanding transmission and persistence of bacteria. The aim of our work was therefore to compare a novel reduced metagenome sequencing (RMS) approach with 16S rRNA gene sequencing to determine both the metagenome genetic diversity and the mother-to-child sharing of the microbiota in a cohort of 17 mother-child pairs. We found that although both approaches gave comparable results with respect to sample separation and taxonomy, RMS gave higher resolution and the potential for genomic-/functional assignment. Using RMS we estimated that the metagenome size increased from about 60 Mbp for 4-day-old children to about 225 Mbp for mothers. The 4-day-old children shared 7% of the metagenome sequences with the mothers, while the metagenome sequence sharing was >30% among the mothers. We found 15 genomes shared across >50% of the mothers, of which 10 belonged to Clostridia. Only Bacteroides showed a direct mother-child association, with B. vulgatus being abundant in both 4-day-old children and mothers. For the functional assignments, we identified a significant association between antibiotic usage during labor, and quantity of Fosfomycin resistance genes. In conclusion, our results show a higher functional and taxonomic resolution for RMS compared to 16S rRNA gene sequencing, where RMS enabled a detailed description of mother to child gut microbiota transmission - supporting a late recruitment of most gut bacteria and an effect of antibiotic treatment during labor on infant antibiotic resistance gene patterns.
在微生物群研究中,16S rRNA基因的使用受到分类学和功能分辨率不足的限制。高分辨率分析对于理解细菌的传播和持久性尤为重要。因此,我们研究的目的是比较一种新型的简化宏基因组测序(RMS)方法与16S rRNA基因测序,以确定17对母婴队列中宏基因组的遗传多样性以及母婴之间微生物群的共享情况。我们发现,尽管两种方法在样本分离和分类学方面给出了可比的结果,但RMS具有更高的分辨率以及进行基因组/功能分配的潜力。使用RMS,我们估计宏基因组大小从4日龄婴儿的约60 Mbp增加到母亲的约225 Mbp。4日龄婴儿与母亲共享7%的宏基因组序列,而母亲之间的宏基因组序列共享率>30%。我们发现15个基因组在>50%的母亲中共享,其中10个属于梭菌纲。只有拟杆菌显示出直接的母婴关联,4日龄婴儿和母亲中都有大量的普通拟杆菌。对于功能分配,我们确定了分娩期间抗生素使用与磷霉素抗性基因数量之间存在显著关联。总之,我们的结果表明,与16S rRNA基因测序相比,RMS具有更高的功能和分类分辨率,RMS能够详细描述母婴肠道微生物群的传播——支持大多数肠道细菌的后期定植以及分娩期间抗生素治疗对婴儿抗生素抗性基因模式的影响。