Evidence map›Paper›PMID 41710534›Full record

ArticleFrontiers in plant science2025

Decoding microbiome responses to quarantine potato wart disease: first insights into suppression and biocontrol by full-length 16S rRNA gene profiling and functional prediction.

Ishraq Akbar, Yichao Shi, Bart T L H van de Vossenberg, Theo A J van der Lee, Lang Yao, Xiang Li, Jiacheng Chuan, Linda E Jewell, Hai D T Nguyen, Wen Chen

Abstract read
In one paragraph

Article in Frontiers in plant science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

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

10 authors.

Ishraq AkbarOttawa Research & Development Centre, Agriculture & Agri-Food Canada (AAFC), Ottawa, ON, Canada.
Yichao ShiOttawa Research & Development Centre, Agriculture & Agri-Food Canada (AAFC), Ottawa, ON, Canada.
Bart T L H van de VossenbergNetherlands Institute for Vectors, Invasive Plants and Plant Health, National Plant Protection Organization, Netherlands Food and Product Safety Authority, Wageningen, Netherlands.
Theo A J van der LeeBiointeractions and Plant Health, Wageningen University & Research, Wageningen, Netherlands.
Lang YaoThe Ottawa Laboratory (Carling), Canadian Food Inspection Agency (CFIA), Ottawa, ON, Canada.
Xiang LiThe Charlottetown Laboratory, Canadian Food Inspection Agency (CFIA), Charlottetown, PE, Canada.
Jiacheng ChuanThe Charlottetown Laboratory, Canadian Food Inspection Agency (CFIA), Charlottetown, PE, Canada.
Linda E JewellSt. John's Research and Development Centre, Agriculture & Agri-Food Canada, St. John's, NL, Canada.
Hai D T NguyenOttawa Research & Development Centre, Agriculture & Agri-Food Canada (AAFC), Ottawa, ON, Canada.
Wen ChenOttawa Research & Development Centre, Agriculture & Agri-Food Canada (AAFC), Ottawa, ON, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Methods: We present the first comprehensive microbiome characterization of the potato wart disease system using full-length 16S rRNA gene Nanopore sequencing across bioassay-grown warts, field-collected wart tissues, diseased tare soils, and long-term descheduled (wart-free) soils. Whole genome amplification (WGA) enabled profiling of low-biomass samples, albeit with compositional shifts towards dominant taxa. Results and discussion: Microbiome compositional structure differed significantly across sieving fractions, host genotypes, and compartments (wart vs. tare soil). Wart microbiomes were enriched in

Indexed as

microbiomenanopore sequencingplant growth promoting bacteria (PGPB)potato wartSynchytrium endobioticum

Identifiers

PMID41710534
PMCPMC12909553

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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.