Evidence map›Paper›PMID 22936250›Full record

ArticleGenome research2013

Time series community genomics analysis reveals rapid shifts in bacterial species, strains, and phage during infant gut colonization.

Itai Sharon, Michael J Morowitz, Brian C Thomas, Elizabeth K Costello, David A Relman, Jillian F Banfield

Abstract read
In one paragraph

Article in Genome research, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 258 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
258citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

258 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Trial
  4. Article
  5. Review
  6. Article
  7. Article
  8. A review of neural networks for metagenomic binning.Briefings in bioinformatics · 2025
    Review
  9. Review
  10. Constructing phylogenetic trees for microbiome data analysis: A mini-review.Computational and structural biotechnology journal · 2024
    Review
  11. Article
  12. Article
  13. A Proteogenomic Approach to Unveiling the Complex Biology of the Microbiome.International journal of molecular sciences · 2024
    Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. The Diversity of Bacteriophages in the Human Gut.Methods in molecular biology (Clifton, N.J.) · 2024
    Article

198 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Itai SharonDepartment of Earth and Planetary Science, UC Berkeley, Berkeley, California 94720, USA.
Michael J Morowitz
Brian C Thomas
Elizabeth K Costello
David A Relman
Jillian F Banfield

Funding

Population Genomic Analysis of Gut Microbial Colonization in Premature InfantsR01AI092531 · NIAID · UNIVERSITY OF CALIFORNIA BERKELEY · PI Jillian Banfield, Michael Morowitz · 2011 to 2026
$11.3M
NIH Director's Pioneer AwardDP1OD000964 · OD · STANFORD UNIVERSITY · PI RELMAN, DAVID A. · 2006 to 2010
$3.4M
NIAID NIH HHS 1R01AI092531-01NIAID NIH HHS R01 AI092531NIH HHS DP1 OD000964NIH HHS DP1OD000964
6 · The paper itself

Abstract

The gastrointestinal microbiome undergoes shifts in species and strain abundances, yet dynamics involving closely related microorganisms remain largely unknown because most methods cannot resolve them. We developed new metagenomic methods and utilized them to track species and strain level variations in microbial communities in 11 fecal samples collected from a premature infant during the first month of life. Ninety six percent of the sequencing reads were assembled into scaffolds of >500 bp in length that could be assigned to organisms at the strain level. Six essentially complete (∼99%) and two near-complete genomes were assembled for bacteria that comprised as little as 1% of the community, as well as nine partial genomes of bacteria representing as little as 0.05%. In addition, three viral genomes were assembled and assigned to their hosts. The relative abundance of three Staphylococcus epidermidis strains, as well as three phages that infect them, changed dramatically over time. Genes possibly related to these shifts include those for resistance to antibiotics, heavy metals, and phage. At the species level, we observed the decline of an early-colonizing Propionibacterium acnes strain similar to SK137 and the proliferation of novel Propionibacterium and Peptoniphilus species late in colonization. The Propionibacterium species differed in their ability to metabolize carbon compounds such as inositol and sialic acid, indicating that shifts in species composition likely impact the metabolic potential of the community. These results highlight the benefit of reconstructing complete genomes from metagenomic data and demonstrate methods for achieving this goal.

Indexed as

Genome, BacterialGenome, ViralMetagenomeBiotaDrug Resistance, BacterialHumansInfant, NewbornInfant, PrematureInositolIntestinesMetagenomicsN-Acetylneuraminic AcidPropionibacterium acnesStaphylococcus epidermidisStaphylococcus PhagesInositolN-Acetylneuraminic Acid

Identifiers

PMID22936250
PMCPMC3530670

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.