Evidence map›Paper›PMID 41923466›Full record

ArticleEnvironmental microbiology reports2026

Comparative Amplicon and Shotgun Metagenome Profiling of Soil Microbial Communities in Kauri Forests Affected by Phytophthora agathidicida.

Zoe King, Hannah L Buckley, Gavin Lear, Brent Seale, Kevin C Lee, Luitgard Schwendenmann, Donnabella C Lacap-Bugler

Abstract readComparative Study
In one paragraph

Article in Environmental microbiology reports, 2026. 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. Article
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

7 authors.

Zoe KingSchool of Science, Auckland University of Technology, Auckland, New Zealand.ORCID https://orcid.org/0000-0002-9637-7245
Hannah L BuckleySchool of Science, Auckland University of Technology, Auckland, New Zealand.ORCID https://orcid.org/0000-0002-4170-080X
Gavin LearSchool of Biological Sciences, The University of Auckland, Auckland, New Zealand.ORCID https://orcid.org/0000-0001-5083-4773
Brent SealeSchool of Science, Auckland University of Technology, Auckland, New Zealand.ORCID https://orcid.org/0000-0002-4148-1360
Kevin C LeeSchool of Science, Auckland University of Technology, Auckland, New Zealand.ORCID https://orcid.org/0000-0003-0210-2628
Luitgard SchwendenmannSchool of Environment, The University of Auckland, Auckland, New Zealand.ORCID https://orcid.org/0000-0002-2290-3003
Donnabella C Lacap-BuglerSchool of Science, Auckland University of Technology, Auckland, New Zealand.ORCID https://orcid.org/0000-0002-7481-6614

Funding

Ministry of Business, Innovation and EmploymentNew Zealand's Biological Heritage C09X1817
6 · The paper itself

Abstract

Soil-borne pathogens can influence microbial communities and ecosystem function, making it important to understand their broader ecological impacts. We investigated interactions between Phytophthora agathidicida (the causal agent of kauri tree dieback) and soil microbial communities, while also comparing detection and community-profiling methods. Soils from 60 kauri trees across three sites in the Waitākere Ranges, New Zealand, were analysed using loop-mediated isothermal amplification (LAMP) for pathogen detection, and 16S rRNA gene/ITS gene amplicon sequencing alongside shotgun metagenomics for community characterisation. LAMP detected P. agathidicida in 39/60 samples, while shotgun sequencing detected Phytophthora-associated DNA at low abundance across all samples. Microbial community structure and functional potential showed weak association with pathogen presence, though differential abundance testing identified several genera enriched in pathogen-detected soils, including taxa previously linked to disease suppression. Amplicon and shotgun profiles indicated broadly comparable patterns at higher taxonomic and functional levels, while differences between approaches emerged primarily at finer taxonomic resolution. Importantly, functional predictions from PICRUSt2 closely matched shotgun-derived profiles at broader scales, indicating its suitability as a cost-effective tool for broad-scale monitoring. These findings suggest limited direct pathogen effects on microbial communities and highlight how integrating molecular approaches provides complementary insights into soil microbiome-pathogen interactions.

Indexed as

MetagenomeMicrobiotaPhytophthoraSoil MicrobiologyBacteriaForestsMetagenomicsNew ZealandNucleic Acid Amplification TechniquesPlant DiseasesRNA, Ribosomal, 16SShotgun SequencingRNA, Ribosomal, 16Samplicon sequencingkauri diebackLAMP detectionpathogen‐microbe interactionsPhytophthora agathidicidashotgun metagenomicssoil microbiome

Identifiers

PMID41923466
PMCPMC13045465

What OpenQuestion holds

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LicenceCC BY
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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.