Literature DB >> 29501688

Comparison of reduced metagenome and 16S rRNA gene sequencing for determination of genetic diversity and mother-child overlap of the gut associated microbiota.

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.
Copyright © 2018. Published by Elsevier B.V.

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


  8 in total

1.  CoMA - an intuitive and user-friendly pipeline for amplicon-sequencing data analysis.

Authors:  Sebastian Hupfauf; Mohammad Etemadi; Marina Fernández-Delgado Juárez; María Gómez-Brandón; Heribert Insam; Sabine Marie Podmirseg
Journal:  PLoS One       Date:  2020-12-02       Impact factor: 3.240

2.  High-Throughput Absolute Quantification Sequencing Revealed Osteoporosis-Related Gut Microbiota Alterations in Han Chinese Elderly.

Authors:  Muhong Wei; Can Li; Yu Dai; Haolong Zhou; Yuan Cui; Yun Zeng; Qin Huang; Qi Wang
Journal:  Front Cell Infect Microbiol       Date:  2021-04-30       Impact factor: 5.293

3.  Association of birth mode of delivery with infant faecal microbiota, potential pathobionts, and short chain fatty acids: a longitudinal study over the first year of life.

Authors:  N T Mueller; M K Differding; T Østbye; C Hoyo; S E Benjamin-Neelon
Journal:  BJOG       Date:  2021-02-01       Impact factor: 7.331

4.  Reduced metagenome sequencing for strain-resolution taxonomic profiles.

Authors:  Lars Snipen; Inga-Leena Angell; Torbjørn Rognes; Knut Rudi
Journal:  Microbiome       Date:  2021-03-29       Impact factor: 14.650

5.  Definition of a High-Resolution Molecular Marker for Tracking the Genetic Diversity of the Harmful Algal Species Eucampia zodiacus Through Comparative Analysis of Mitochondrial Genomes.

Authors:  Mengjia Zhang; Zongmei Cui; Feng Liu; Nansheng Chen
Journal:  Front Microbiol       Date:  2021-03-24       Impact factor: 5.640

6.  Low Maternal Microbiota Sharing across Gut, Breast Milk and Vagina, as Revealed by 16S rRNA Gene and Reduced Metagenomic Sequencing.

Authors:  Ekaterina Avershina; Inga Leena Angell; Melanie Simpson; Ola Storrø; Torbjørn Øien; Roar Johnsen; Knut Rudi
Journal:  Genes (Basel)       Date:  2018-05-01       Impact factor: 4.096

7.  A restriction enzyme reduced representation sequencing approach for low-cost, high-throughput metagenome profiling.

Authors:  Melanie K Hess; Suzanne J Rowe; Tracey C Van Stijn; Hannah M Henry; Sharon M Hickey; Rudiger Brauning; Alan F McCulloch; Andrew S Hess; Michelle R Kirk; Sandeep Kumar; Cesar Pinares-Patiño; Sandra Kittelmann; Graham R Wood; Peter H Janssen; John C McEwan
Journal:  PLoS One       Date:  2020-04-03       Impact factor: 3.240

8.  Comparative Analysis of 16S rRNA Gene and Metagenome Sequencing in Pediatric Gut Microbiomes.

Authors:  Danielle Peterson; Kevin S Bonham; Sophie Rowland; Cassandra W Pattanayak; Vanja Klepac-Ceraj
Journal:  Front Microbiol       Date:  2021-07-15       Impact factor: 5.640

  8 in total

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