Evidence map›Paper›PMID 23184156›Full record

ArticleMicrobial ecology2013

Decomposing predation: testing for parameters that correlate with predatory performance by a social bacterium.

Helena Mendes-Soares, Gregory J Velicer

Abstract read
In one paragraph

Article in Microbial ecology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Frontiers in microbiology · 2024
    Review
  6. Article
  7. Article
  8. Lysis profile and preference ofFrontiers in microbiology · 2023
    Article
  9. The potential of facultative predatoryFrontiers in microbiology · 2022
    Review
  10. Article
  11. Applied and environmental microbiology · 2021
    Article
  12. Article
  13. The Predation Strategy ofFrontiers in microbiology · 2020
    Review
  14. The antibiotic crisis: How bacterial predators can help.Computational and structural biotechnology journal · 2020
    Review
  15. Frontiers in microbiology · 2020
    Article
  16. Article
  17. Article
  18. Antibiotics from predatory bacteria.Beilstein journal of organic chemistry · 2016
    Review
  19. Review
  20. Quantitative Analysis of Lysobacter Predation.Applied and environmental microbiology · 2015
    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

2 authors.

Helena Mendes-SoaresDepartment of Biology, Indiana University, Bloomington, IN 47405, USA. mmendessoares@uidaho.edu
Gregory J Velicer

Funding

Comprehensive analysis of evolutionary mutations in a highly social bacteriumR01GM079690 · NIGMS · TRUSTEES OF INDIANA UNIVERSITY · PI VELICER, GREGORY J · 2007 to 2011
$1.4M
NIGMS NIH HHS R01 GM079690
6 · The paper itself

Abstract

Predator-prey interactions presumably play major roles in shaping the composition and dynamics of microbial communities. However, little is understood about the population biology of such interactions or how predation-related parameters vary or correlate across prey environments. Myxococcus xanthus is a motile soil bacterium that feeds on a broad range of other soil microbes that vary greatly in the degree to which they support M. xanthus growth. In order to decompose predator-prey interactions at the population level, we quantified five predation-related parameters during M. xanthus growth on nine phylogenetically diverse bacterial prey species. The horizontal expansion rate of swarming predator colonies fueled by prey lawns served as our measure of overall predatory performance, as it incorporates both the searching (motility) and handling (killing and consumption of prey) components of predation. Four other parameters-predator population growth rate, maximum predator yield, maximum prey kill, and overall rate of prey death-were measured from homogeneously mixed predator-prey lawns from which predator populations were not allowed to expand horizontally by swarming motility. All prey species fueled predator population growth. For some prey, predator-specific prey death was detected contemporaneously with predator population growth, whereas killing of other prey species was detected only after cessation of predator growth. All four of the alternative parameters were found to correlate significantly with predator swarm expansion rate to varying degrees, suggesting causal interrelationships among these diverse predation measures. More broadly, our results highlight the importance of examining multiple parameters for thoroughly understanding the population biology of microbial predation.

Indexed as

Food ChainSoil MicrobiologyMyxococcus xanthus

Identifiers

PMID23184156
PMCPMC3563865

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Registered trials

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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.