Evidence map›Paper›PMID 40492742›Full record

ArticlemSystems2025

Consistent microbial insights across sequencing methods in soil studies: the role of reference taxonomies.

Niranjana Rose Edwin, Aoife Duff, Coline Deveautour, Fiona Brennan, Florence Abram, Orla O'Sullivan

Abstract read
In one paragraph

Article in mSystems, 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. Review
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  3. 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

6 authors.

Niranjana Rose EdwinTeagasc, Moorepark Food Research Centre, Fermoy, County Cork, Ireland.ORCID 0000-0002-8433-7676
Aoife DuffSoils, Environment and Landuse Department, Teagasc, Wexford, Ireland.
Coline DeveautourAGHYLE Research Unit, Institut Polytechnique UniLaSalle, Mont-Saint-Aignan, France.
Fiona BrennanVistaMilk Science Foundation Ireland (SFI) Research Centre, Cork, Ireland.ORCID 0000-0002-2949-6180
Florence AbramFunctional Environmental Microbiology, University of Galway, Galway, County Galway, Ireland.
Orla O'SullivanTeagasc, Moorepark Food Research Centre, Fermoy, County Cork, Ireland.

Funding

Department of Agriculture, Food and the Marine, Ireland 15S655Department of Agriculture, Food and the Marine, Ireland SFI/16/RC/3835Teagasc - the Agriculture and Food Development Authority 2020019
6 · The paper itself

Abstract

Microbes play an important role in soil functioning, underpinning food production systems and delivering an array of essential ecosystem services. To elucidate how these microbes relate to ecosystem functions, accurate identification and classification of soil microorganisms are important. We evaluated the comparability of shotgun and amplicon sequencing approaches by profiling soil microbiota from 131 diverse temperate grassland soils across Ireland. We assessed method comparability in terms of (i) detection and classification of the most abundant phyla, (ii) their capacity to differentiate samples based on their microbial community, and (iii) their capacity to link microbial communities to measured nitrogen cycle functions. Our findings reveal that both methods offer moderately similar outcomes, providing consistent detection of major phyla, similar microbial community differentiation patterns, and largely identifying the same relationships between the phyla and nitrogen functions. The variations observed between the two methods were mostly associated with differences in the choice of reference taxonomy. Amplicon sequencing represents a cost-effective, less computationally demanding option, while shotgun sequencing provides deeper taxonomic resolution and access to the latest databases, making it suitable for detailed microbial profiling. Our study underscores the need for careful method selection based on project requirements, database availability, and financial resources.IMPORTANCEStudying the microorganisms in soil remains a challenge as soils are one of the most complex and diverse environments. Compounding these challenges is the lack of culturable representatives in soil, with over 99% of soil microorganisms yet to be cultivated in a laboratory setting. Leveraging next-generation sequencing technologies, which bypass traditional culture-dependent methods, scientists are now able to attain low-cost, high-throughput DNA sequencing that can detect even the rarest microorganisms within samples. The present study rigorously compares amplicon and shotgun sequencing techniques in profiling microbial communities across diverse temperate grassland soil samples, focusing on how different databases, classifiers, and sequencing methods influence the results. Our study underscores the crucial need for a harmonized taxonomic database that could greatly enhance comparability and accuracy in the understanding of soil microbiomes.

Indexed as

BacteriaMicrobiotaSoil MicrobiologyGrasslandHigh-Throughput Nucleotide SequencingIrelandPhylogenyRNA, Ribosomal, 16SSequence Analysis, DNASoilRNA, Ribosomal, 16SSoilamplicon sequencingshotgun metagenomicssoil microbiometaxonomy

Identifiers

PMID40492742
PMCPMC12282176

What OpenQuestion holds

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LicenceCC BY
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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.