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Proc Natl Acad Sci U S A. 2014 Aug 26;111(34):12522-7. doi: 10.1073/pnas.1409497111. Epub 2014 Aug 11.

Patterned progression of bacterial populations in the premature infant gut.

Author information

1
Departments of Medicine and.
2
Pediatrics and.
3
The Genome Institute, Washington University School of Medicine in St. Louis, St. Louis, MO 63110.
4
Departments of Medicine and tarr@wustl.edu wshannon@dom.wustl.edu.
5
Pediatrics and tarr@wustl.edu wshannon@dom.wustl.edu.

Erratum in

  • Proc Natl Acad Sci U S A. 2014 Dec 2;111(48):17336.

Abstract

In the weeks after birth, the gut acquires a nascent microbiome, and starts its transition to bacterial population equilibrium. This early-in-life microbial population quite likely influences later-in-life host biology. However, we know little about the governance of community development: does the gut serve as a passive incubator where the first organisms randomly encountered gain entry and predominate, or is there an orderly progression of members joining the community of bacteria? We used fine interval enumeration of microbes in stools from multiple subjects to answer this question. We demonstrate via 16S rRNA gene pyrosequencing of 922 specimens from 58 subjects that the gut microbiota of premature infants residing in a tightly controlled microbial environment progresses through a choreographed succession of bacterial classes from Bacilli to Gammaproteobacteria to Clostridia, interrupted by abrupt population changes. As infants approach 33-36 wk postconceptional age (corresponding to the third to the twelfth weeks of life depending on gestational age at birth), the gut is well colonized by anaerobes. Antibiotics, vaginal vs. Caesarian birth, diet, and age of the infants when sampled influence the pace, but not the sequence, of progression. Our results suggest that in infants in a microbiologically constrained ecosphere of a neonatal intensive care unit, gut bacterial communities have an overall nonrandom assembly that is punctuated by microbial population abruptions. The possibility that the pace of this assembly depends more on host biology (chiefly gestational age at birth) than identifiable exogenous factors warrants further consideration.

KEYWORDS:

mixed model regression analysis; necrotizing enterocolitis; nonmetric multidimensional scaling; prematurity

PMID:
25114261
PMCID:
PMC4151715
DOI:
10.1073/pnas.1409497111
[Indexed for MEDLINE]
Free PMC Article
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