| Literature DB >> 29501688 |
Anuradha Ravi1, Ekaterina Avershina2, Inga Leena Angell3, Jane Ludvigsen4, Prasanth Manohar5, Sumathi Padmanaban6, Ramesh Nachimuthu5, Lars Snipen7, Knut Rudi8.
Abstract
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.Entities:
Keywords: 16S rRNA; Gut microbiota; Infant; RMS
Mesh:
Substances:
Year: 2018 PMID: 29501688 DOI: 10.1016/j.mimet.2018.02.016
Source DB: PubMed Journal: J Microbiol Methods ISSN: 0167-7012 Impact factor: 2.363