Evidence map›Paper›PMID 41087804›Full record

ArticleBulletin of mathematical biology2025

Transient Instability and Patterns of Reactivity in Diffusive-Chemotaxis Soil Carbon Dynamics.

Fasma Diele, Andrew L Krause, Deborah Lacitignola, Carmela Marangi, Angela Monti, Edgardo Villar-Sepúlveda

Abstract read
In one paragraph

Article in Bulletin of mathematical biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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.

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

6 authors.

Fasma Diele *Istituto per le Applicazioni del Calcolo "M. Picone", National Research Council (CNR), via G. Amendola 122/D, Bari, 70126, Italy.
Andrew L Krause *Mathematical Sciences Department, Durham University, Upper Mountjoy Campus, Stockton Rd, Durham, DH1 3LE, United Kingdom.
Deborah Lacitignola *Dipartimento di Ingegneria Elettrica e dell'Informazione, Universitá di Cassino e del Lazio Meridionale, via Di Biasio, Cassino, 03043, Italy.
Carmela Marangi *Istituto per le Applicazioni del Calcolo "M. Picone", National Research Council (CNR), via G. Amendola 122/D, Bari, 70126, Italy.
Angela Monti *Istituto per le Applicazioni del Calcolo "M. Picone", National Research Council (CNR), via G. Amendola 122/D, Bari, 70126, Italy. angela.monti@cnr.it.ORCID http://orcid.org/0000-0002-1952-9348
Edgardo Villar-Sepúlveda *School of Engineering Mathematics and Technology, University of Bristol, Ada Lovelace Building, Tankard's Cl, University Walk, Bristol, BS8 1TW, United Kingdom.

Funding

European Union NextGenerationEU B83C22002930006European Union NextGenerationEU H53D23008940001INdAM GNCS E53C24001950001
6 · The paper itself

Abstract

We study pattern formation in a chemotaxis model of bacteria and soil carbon dynamics as an example system where transient dynamics can give rise to pattern formation outside of Turing unstable regimes. We use a detailed analysis of the reactivity of the non-spatial and spatial dynamics, stability analyses, and numerical continuation to uncover detailed aspects of this system's pattern-forming potential. In addition to patterning in Turing unstable parameter regimes, reactivity of the spatial system can itself lead to a range of parameters where a spatially uniform state is asymptotically stable, but exhibits transient growth that can induce pattern formation. We show that this occurs in the bistable region of a subcritical Turing bifurcation. Intriguingly, such bistable regions appear in two spatial dimensions, but not in a one-dimensional domain, suggesting important interplays between geometry, transient growth, and the emergence of multistable patterns. We discuss the implications of our analysis for the bacterial soil organic carbon system, as well as for reaction-transport modeling more generally.

Indexed as

CarbonChemotaxisModels, BiologicalSoilSoil MicrobiologyBacteriaBacterial Physiological PhenomenaComputer SimulationDiffusionMathematical ConceptsCarbonSoilChemotaxisMultistabilityPattern formationReactivity

Identifiers

PMID41087804
PMCPMC12521303

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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.