Evidence map›Paper›PMID 40178128›Full record

ArticleThe ISME journal2025

Interplay of ecological processes modulates microbial community reassembly following coalescence.

Luana Bresciani, Gordon F Custer, David Koslicki, Francisco Dini-Andreote

Abstract read
In one paragraph

Article in The ISME journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
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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

4 authors.

Luana BrescianiDepartment of Plant Science, The Pennsylvania State University, University Park, PA 16802, United States.
Gordon F CusterDepartment of Plant Science, The Pennsylvania State University, University Park, PA 16802, United States.
David KoslickiHuck Institutes of the Life Sciences, The Pennsylvania State University, University Park, PA 16802, United States.
Francisco Dini-AndreoteDepartment of Plant Science, The Pennsylvania State University, University Park, PA 16802, United States.

Funding

Leveraging k-mer sketching statistics to enhance metagenomic methods and alignment algorithmsR01GM146462 · NIGMS · PENNSYLVANIA STATE UNIVERSITY, THE · PI Antonio Blanca Pimentel, David Koslicki · 2022 to 2026
$2.2M
NIGMS NIH HHS R01 GM146462USDA National Institute of Food and Agriculture and Hatch Appropriations PEN04908
6 · The paper itself

Abstract

Microbial community coalescence refers to the mixing of entire microbial communities and their environments. Despite conceptually analogous to a multispecies invasion, the ecological processes driving this phenomenon remain poorly understood. Here, we developed and implemented a beta-diversity-based statistical framework to quantify the contribution of distinct donor communities to community reassembly dynamics over time following coalescence. We conducted a microcosm experiment with soils manipulated at varying levels of community structure (via dilution-to-extinction) and subjected these to pairwise coalescence scenarios. Overall, our results revealed variable patterns of abiotic and biotic donor dominance across distinct treatment sets. First, we show the occasional presence of an upfront stringent abiotic filter to disproportionally favor a donor biotic dominance through a "home-field advantage" mechanism, with abiotic factors explaining >90% of the variance in community structure. Functional community metrics (i.e. carbon metabolism and extracellular enzymatic activities) were significantly linked to donor contributions in these cases. Second, in the absence of abiotic dominance, interspecific interactions gained importance, with abiotic variables explaining <40% of the variance. Here, functional redundancy in donor communities (e.g. lower dilution) led to nonsignificant relationships between donor contributions and functional metrics. Collectively, this study advances the integration of coalescence with well-established fundamentals of invasion biology theory, highlighting the interplay of abiotic and biotic factors structuring community reassembly following coalescence. Last, we propose that our beta-diversity-based framework is widely applicable across various microbial systems. We believe this approach will promote research advances by offering a unified method for analyzing and quantifying coalescence.

Indexed as

MicrobiotaSoil MicrobiologyBiodiversityEcosystemabiotic filteringbeta-diversitycommunity assemblyinvasion biologysoil microbiologyspecies interactions

Identifiers

PMID40178128
PMCPMC11971568

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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.