Evidence map›Paper›PMID 39196435›Full record

ArticleBulletin of mathematical biology2024

A Mathematical Model of Diel Activity and Long Time Survival in Phototrophic Mixed-Species Subaerial Biofilms.

A Tenore, F Russo, J Jacob, J D Grattepanche, B Buttaro, I Klapper

Abstract read
In one paragraph

Article in Bulletin of mathematical biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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.

A TenoreDepartment of Mathematics and Applications, University of Naples Federico II, Naples, Italy. alberto.tenore@unina.it.
F RussoDepartment of Mathematics and Applications, University of Naples Federico II, Naples, Italy.
J JacobU.S. National Park Service, North Atlantic-Appalachian Region, Historic Architecture, Conservation, and Engineering Program, New York, USA.
J D GrattepancheDepartment of Biology, Temple University, Philadelphia, PA, USA.
B ButtaroSol Sherry Thrombosis Research Center, Katz School of Medicine, Temple University, Philadelphia, PA, USA.
I KlapperDepartment of Mathematics, Temple University, Philadelphia, PA, USA.

Funding

National Science Foundation 1951532National Science Foundation 2325170
6 · The paper itself

Abstract

Subaerial biofilms (SAB) are intricate microbial communities living on terrestrial surfaces, of interest in a variety of contexts including cultural heritage preservation, microbial ecology, biogeochemical cycling, and biotechnology. Here we propose a mathematical model aimed at better understanding the interplay between cyanobacteria and heterotrophic bacteria, common microbial SAB constituents, and their mutual dependence on local environmental conditions. SABs are modeled as thin mixed biofilm-liquid water layers sitting on stone. A system of ordinary differential equations regulates the dynamics of key SAB components: cyanobacteria, heterotrophs, polysaccharides and decayed biomass, as well as cellular levels of organic carbon, nitrogen and energy. These components are interconnected through a network of energetically dominant metabolic pathways, modeled with limitation terms reflecting the impact of biotic and abiotic factors. Daily cylces of temperature, humidity, and light intensity are considered as input model variables that regulate microbial activity by influencing water availability and metabolic kinetics. Relevant physico-chemical processes, including pH regulation, further contribute to a description of the SAB ecology. Numerical simulations explore the dynamics of SABs in a real-world context, revealing distinct daily activity periods shaped by water activity and light availability, as well as longer time scale survivability conditions. Results also suggest that heterotrophs could play a substantial role in decomposing non-volatile carbon compounds and regulating pH, thus influencing the overall composition and stability of the biofilm.

Indexed as

BiofilmsComputer SimulationCyanobacteriaMathematical ConceptsModels, BiologicalPhototrophic ProcessesBacterial Physiological PhenomenaBiomassHeterotrophic ProcessesMicrobial InteractionsCyanobacteriaHeterotrophsMathematical modelsSubaerial biofilmWater activity

Identifiers

PMID39196435
PMCPMC11358337

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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.