Evidence map›Paper›PMID 34271083›Full record

ArticleBio Systems2021

Complex population dynamics in a spatial microbial ecosystem with Physarum polycephalum.

Leo Epstein, Zeth Dubois, Jessica Smith, Yunha Lee, Kyle Harrington

Open access · bronzeAbstract read
In one paragraph

Article in Bio Systems, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 55% of its field
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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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

5 authors at 2 institutions in 2 countries.

Leo EpsteinUniversity of Idaho, Moscow, ID, 83844, USA; Max Delbrück Center for Molecular Medicine, Berlin, 13125, Germany.
Zeth DuboisUniversity of Idaho, Moscow, ID, 83844, USA.
Jessica SmithUniversity of Idaho, Moscow, ID, 83844, USA.
Yunha LeeCenter for Advanced Systems Understanding (CASUS), Görlitz, 02826, Germany.
Kyle HarringtonUniversity of Idaho, Moscow, ID, 83844, USA; Max Delbrück Center for Molecular Medicine, Berlin, 13125, Germany. Electronic address: mdc@kyleharrington.com.
University of Idaho · USCenter for Advanced Systems Understanding · DE

Funding

Sequence-structure-function relationships in human visual photopigmentsP20GM104420 · NIGMS · UNIVERSITY OF IDAHO · PI VAN LEUVEN, JAMES · 2015 to 2024
$22.9M
NIGMS NIH HHS P20 GM104420
6 · The paper itself

Abstract

This research addresses the interactions between the unicellular slime mold Physarum polycephalum and a red yeast in a spatial ecosystem over week-long imaging experiments. An inverse relationship between the growth rates of both species is shown, where P. polycephalum has positive growth when the red yeast has a negative growth rate and vice versa. The data also captures successional and oscillatory dynamics between both species. An advanced image analysis methodology for semantic segmentation is used to quantify population density over time, for all components of the ecosystem. We suggest that P. polycephalum is capable of exhibiting a sustainable feeding strategy by depositing a nutritive slime trail, allowing yeast to serve as a periodic food source. This opens a new direction of P. polycephalum research, where the population dynamics of spatial ecosystems can be readily quantified and complex ecological dynamics can be studied.

Indexed as

Deep LearningEcosystemMicrobiological PhenomenaPhysarum polycephalumPopulation DynamicsMicrobial ecosystemPhysarum polycephalumPopulation dynamicsSlime mold

Identifiers

PMID34271083
PMCPMC8416962
OpenAlexW3182926076

What OpenQuestion holds

Textmetadata
LicenceTDM
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.