Quantitative Microbiome Profiling Facilitates Convenient Detection of Root‐Associated Fungi in an Alpine Meadow

ABSTRACT Next‐generation sequencing is widely used for microbiome characterisation across multiple samples. However, current amplicon sequencing techniques are limited because they primarily offer microbial taxon relative abundance profiles, which do not accurately reflect the actual environmental abundances. Here, relative microbiome profiling (RMP) and quantitative microbiome profiling (QMP) were employed to analyse the root‐associated fungal communities of 20 alpine meadow plant species. Noteworthy, the microbial load of root‐associated fungi varied among the host plants. There were inconsistent patterns of the major fungal genera among plant species between QMP and RMP approaches, and RMP underestimated root‐associated fungal community dissimilarities across different hosts. These findings led to the conclusion that QMP contributes to a better understanding of root‐associated fungal dynamics and their ecological and functional processes.

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Publication Details

Journal
European Journal of Soil Science
Published
2025-02-27
DOI
https://doi.org/10.1111/ejss.70068
Primary Topic
Mycorrhizal Fungi and Plant Interactions
Type
article
Field-Weighted Citation Impact
0.00

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article

Quantitative Microbiome Profiling Facilitates Convenient Detection of Root‐Associated Fungi in an Alpine Meadow

Shengjing Jiang, Lijie Wang
European Journal of Soil Science
Mycorrhizal Fungi and Plant Interactions
article

Quantitative Microbiome Profiling Facilitates Convenient Detection of Root‐Associated Fungi in an Alpine Meadow

Shengjing Jiang, Lijie Wang
article en

Abstract

ABSTRACT Next‐generation sequencing is widely used for microbiome characterisation across multiple samples. However, current amplicon sequencing techniques are limited because they primarily offer microbial taxon relative abundance profiles, which do not accurately reflect the actual environmental abundances. Here, relative microbiome profiling (RMP) and quantitative microbiome profiling (QMP) were employed to analyse the root‐associated fungal communities of 20 alpine meadow plant species. Noteworthy, the microbial load of root‐associated fungi varied among the host plants. There were inconsistent patterns of the major fungal genera among plant species between QMP and RMP approaches, and RMP underestimated root‐associated fungal community dissimilarities across different hosts. These findings led to the conclusion that QMP contributes to a better understanding of root‐associated fungal dynamics and their ecological and functional processes.

European Journal of Soil ScienceVol. 76(2)
Lanzhou University (CN)
National Natural Science Foundation of China, Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 97%
Mycorrhizal Fungi and Plant Interactions
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Quantitative Microbiome Profiling Facilitates Convenient Detection of Root‐Associated Fungi in an Alpine Meadow — Shengjing Jiang, Lijie Wang · European Journal of Soil Science (2025) | TGRS Research Map | TGRS