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

**Authors:** Luzia Stalder, Monika Maurhofer, Daniel Croll

PMC · DOI: 10.1186/s40168-025-02206-7 · Microbiome · 2025-10-28

## TL;DR

This paper introduces a new method for high-resolution profiling of bacterial and fungal communities in the wheat microbiome using pangenome-informed long-read amplicons.

## Contribution

The novel pipeline enables strain-level resolution and outperforms traditional methods like 16S and ITS amplicons.

## Key findings

- The pipeline provides an order of magnitude higher phylogenetic resolution compared to existing ribosomal amplicons.
- The method accurately captures species and strain diversity in the wheat-associated Pseudomonas microbiome and Zymoseptoria tritici.
- Pangenome-informed amplicons allow tracking of microbial dynamics in the wheat phyllosphere across time and space.

## Abstract

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

We 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.

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

Video Abstract

Video Abstract

The online version contains supplementary material available at 10.1186/s40168-025-02206-7.

## Linked entities

- **Species:** Pseudomonas (taxon 286), Zymoseptoria tritici (taxon 1047171)

## Full-text entities

- **Species:** Zymoseptoria tritici (species) [taxon 1047171]

## Full text

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## Figures

8 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12570816/full.md

## References

79 references — full list in the complete paper: https://tomesphere.com/paper/PMC12570816/full.md

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Source: https://tomesphere.com/paper/PMC12570816