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Open AccessJournal ArticleDOI

Maternal fucosyltransferase 2 status affects the gut bifidobacterial communities of breastfed infants

TLDR
Mechanistic insight is provided into how milk glycans enrich specific beneficial bacterial populations in infants and clues for enhancing enrichment of bifidobacterial populations in at risk populations - such as premature infants are revealed.
Abstract
Individuals with inactive alleles of the fucosyltransferase 2 gene (FUT2; termed the ‘secretor’ gene) are common in many populations. Some members of the genus Bifidobacterium, common infant gut commensals, are known to consume 2′-fucosylated glycans found in the breast milk of secretor mothers. We investigated the effects of maternal secretor status on the developing infant microbiota with a special emphasis on bifidobacterial species abundance. On average, bifidobacteria were established earlier and more often in infants fed by secretor mothers than in infants fed by non-secretor mothers. In secretor-fed infants, the relative abundance of the Bifidobacterium longum group was most strongly correlated with high percentages of the order Bifidobacteriales. Conversely, in non-secretor-fed infants, Bifidobacterium breve was positively correlated with Bifidobacteriales, while the B. longum group was negatively correlated. A higher percentage of bifidobacteria isolated from secretor-fed infants consumed 2′-fucosyllactose. Infant feces with high levels of bifidobacteria had lower milk oligosaccharide levels in the feces and higher amounts of lactate. Furthermore, feces containing different bifidobacterial species possessed differing amounts of oligosaccharides, suggesting differential consumption in situ. Infants fed by non-secretor mothers are delayed in the establishment of a bifidobacteria-laden microbiota. This delay may be due to difficulties in the infant acquiring a species of bifidobacteria able to consume the specific milk oligosaccharides delivered by the mother. This work provides mechanistic insight into how milk glycans enrich specific beneficial bacterial populations in infants and reveals clues for enhancing enrichment of bifidobacterial populations in at risk populations - such as premature infants.

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Gut biogeography of the bacterial microbiota

TL;DR: Novel hypotheses for how nutrient selection, immune activation and other mechanisms control the biogeography of bacteria in the gut are considered, and the relevance of this spatial heterogeneity to health and disease is discussed.
Journal ArticleDOI

Human breast milk: A review on its composition and bioactivity.

TL;DR: The composition of breast milk and the factors that affect it during the course of breast feeding are discussed, allowing for the improvement of clinical practices, infant feeding and the understanding of immune responses to infection and vaccination in infants.
Journal ArticleDOI

Role of the microbiome in human development.

TL;DR: The role of the microbiome in human development, including evolutionary considerations, and the maternal/fetal relationships, contributions to nutrition and growth are reviewed.
Journal ArticleDOI

The Human Microbiome and Child Growth – First 1000 Days and Beyond

TL;DR: It is proposed that an 'undernourished' microbiome is intergenerational, thereby perpetuating growth impairments into successive generations and identifying and discussing the intertwining host-microbe-environment interactions occurring prenatally and during early infancy.
References
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Journal ArticleDOI

Search and clustering orders of magnitude faster than BLAST

Robert C. Edgar
- 01 Oct 2010 - 
TL;DR: UCLUST is a new clustering method that exploits USEARCH to assign sequences to clusters and offers several advantages over the widely used program CD-HIT, including higher speed, lower memory use, improved sensitivity, clustering at lower identities and classification of much larger datasets.
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Naïve Bayesian Classifier for Rapid Assignment of rRNA Sequences into the New Bacterial Taxonomy

TL;DR: The RDP Classifier can rapidly and accurately classify bacterial 16S rRNA sequences into the new higher-order taxonomy proposed in Bergey's Taxonomic Outline of the Prokaryotes, and the majority of the classification errors appear to be due to anomalies in the current taxonomies.
Journal ArticleDOI

Global patterns of 16S rRNA diversity at a depth of millions of sequences per sample

TL;DR: This work sequences a diverse array of 25 environmental samples and three known “mock communities” at a depth averaging 3.1 million reads per sample to demonstrate excellent consistency in taxonomic recovery and recapture diversity patterns that were previously reported on the basis of metaanalysis of many studies from the literature.
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