Evidence map›Paper›PMID 21731083›Full record

ArticleBioscience2011

Microbial Communities as Experimental Units.

Mitch D Day, Daniel Beck, James A Foster

Abstract read
In one paragraph

Article in Bioscience, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
–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

18 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Directed Evolution of Microbial Communities.Annual review of biophysics · 2021
    Review
  8. Article
  9. Understanding the evolution of interspecies interactions in microbial communities.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2020
    Article
  10. Article
  11. Article
  12. Article
  13. An Experimental Framework for Generating Evolvable Chemical Systems in the Laboratory.Origins of life and evolution of the biosphere : the journal of the International Society for the Study of the Origin of Life · 2017
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
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

3 authors.

Mitch D DayMitch D. Day ( mday@uidaho.edu ) is a postdoctoral fellow, Daniel Beck is a doctoral student, and James A. Foster is a professor, all in the Department of Biological Sciences at the University of Idaho, in Moscow, Idaho. All are affiliated with the Initiative for Bioinformatics and Evolutionary Studies (IBEST), an interdisciplinary center devoted to developing a greater understanding of the patterns and processes of evolution and their relevance to biomedicine. All are also members of the National Science Foundation Science and Technology Center, BEACON, for the study of evolution in action.
Daniel Beck
James A Foster

Funding

UNDERGRADUATE COLLEGE OUTREACH PROGRAMP20RR016454 · NCRR · UNIVERSITY OF IDAHO · PI CHASE, JENNIFER R · 2001 to 2011
$35.3M
The Evolution of Protein FlexibilityP20RR016448 · NCRR · UNIVERSITY OF IDAHO · PI ROBISON, BARRIE D · 2002 to 2011
$19.3M
NCRR NIH HHS P20 RR016448NCRR NIH HHS P20 RR016454
6 · The paper itself

Abstract

Artificial ecosystem selection is an experimental technique that treats microbial communities as though they were discrete units by applying selection on community-level properties. Highly diverse microbial communities associated with humans and other organisms can have significant impacts on the health of the host. It is difficult to find correlations between microbial community composition and community-associated diseases, in part because it may be impossible to define a universal and robust species concept for microbes. Microbial communities are composed of potentially thousands of unique populations that evolved in intimate contact, so it is appropriate in many situations to view the community as the unit of analysis. This perspective is supported by recent discoveries using metagenomics and pangenomics. Artificial ecosystem selection experiments can be costly, but they bring the logical rigor of biological model systems to the emerging field of microbial community analysis.

Identifiers

PMID21731083
PMCPMC3128510

What OpenQuestion holds

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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.