Evidence map›Paper›PMID 41152942›Full record

ArticleMicrobiome2025

High-resolution profiling of bacterial and fungal communities using pangenome-informed taxon-specific long-read amplicons.

Luzia Stalder, Monika Maurhofer, Daniel Croll

Abstract read
In one paragraph

Article in Microbiome, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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

3 authors.

Luzia StalderLaboratory of Evolutionary Genetics, Institute of Biology, University of Neuchâtel, Neuchâtel, Switzerland.
Monika MaurhoferPlant Pathology, Institute of Integrative Biology, ETH Zurich, Zurich, Switzerland. monika.maurhofer@usys.ethz.ch.
Daniel CrollLaboratory of Evolutionary Genetics, Institute of Biology, University of Neuchâtel, Neuchâtel, Switzerland. daniel.croll@unine.ch.

Funding

Swiss National Science Foundation 177052
6 · The paper itself

Abstract

backgroundHigh-throughput sequencing technologies have greatly advanced our understanding of microbiomes, but resolving microbial communities at species and strain levels remains challenging.

resultsWe developed and validated a pipeline for designing, multiplexing, and sequencing highly polymorphic taxon-specific long-read amplicons. We focused on the wheat microbiome as a proof-of-principle and demonstrate strain-level resolution for the wheat-associated Pseudomonas microbiome and the ubiquitous fungal pathogen Zymoseptoria tritici. We achieved an order of magnitude higher phylogenetic resolution compared to existing ribosomal amplicons. The designed amplicons accurately capture species and strain diversity outperforming full-length 16S and ITS amplicons. Furthermore, we tracked microbial communities in the wheat phyllosphere across time and space to establish fine-grained species and strain-specific dynamics. To expand the utility of our approach, we generated pangenome-informed amplicon templates for additional key bacterial and fungal genera.

conclusionsPangenome-informed microbiome profiling enables the tracking of microbial community dynamics in complex environments and overcomes limitations in phylogenetic resolution. Video Abstract.

Indexed as

AscomycotaBacteriaFungiHigh-Throughput Nucleotide SequencingMicrobiotaMycobiomeTriticumPhylogenyPseudomonasRNA, Ribosomal, 16SSequence Analysis, DNARNA, Ribosomal, 16SAmplicon sequencingLong-read sequencingMicrobiomeMultiplexingPacBioPangenomePhyllospherePseudomonasSequel IIWheatZymoseptoria tritici

Identifiers

PMID41152942
PMCPMC12570816

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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.