Evidence map›Paper›PMID 41459220›Full record

ArticleFrontiers in microbiology2025

Shotgun metagenomics reveals antibiotic resistome dynamics and metabolic specialization in fungal-dominated microbiomes.

Xin Zhao, Jiedong Qiao, Yongqiang Wang, Hetian Xiong, Runfu Wang, Fenghui Su, Zhuoyi Guo

Abstract read
In one paragraph

Article in Frontiers in microbiology, 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

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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
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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.

Xin ZhaoDepartment of Materials and Chemical Engineering, Taiyuan University, Taiyuan, Shanxi, China.
Jiedong QiaoDepartment of Materials and Chemical Engineering, Taiyuan University, Taiyuan, Shanxi, China.
Yongqiang WangDepartment of Materials and Chemical Engineering, Taiyuan University, Taiyuan, Shanxi, China.
Hetian XiongDepartment of Materials and Chemical Engineering, Taiyuan University, Taiyuan, Shanxi, China.
Runfu WangDepartment of Materials and Chemical Engineering, Taiyuan University, Taiyuan, Shanxi, China.
Fenghui SuDepartment of Materials and Chemical Engineering, Taiyuan University, Taiyuan, Shanxi, China.
Zhuoyi GuoDepartment of Materials and Chemical Engineering, Taiyuan University, Taiyuan, Shanxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Metagenomics offers a culture-independent framework for comprehensively characterizing microbial communities by directly extracting and sequencing DNA from environmental samples. In this study, we employed high-throughput metagenomic sequencing to explore microbial communities inhabiting fungal-rich environments, emphasizing taxonomic composition, functional potential, and antibiotic resistance gene (ARG) dynamics. Methods: Six samples from two distinct groups (HFJ and QFJ) were subjected to Illumina-based shotgun sequencing, followed by rigorous quality control, taxonomic classification, KEGG-based functional annotation, and ARG identification via the CARD database. Comparative analysis revealed stark contrasts between the two groups. Results: HFJ samples were dominated by eukaryotic taxa, particularly Conclusion: Our results reveal distinct microbial, functional and resistome profiles in fungal-rich versus bacterial-rich fermentation environments. Fungal dominance correlated with lower bacterial diversity and a reduced abundance of certain ARGs, whereas bacterial-rich samples exhibited higher diversity and ARG prevalence. These correlations generate the hypothesis that fungal dominance may suppress bacterial growth or ARG dissemination; however, causal relationships cannot be inferred from our cross-sectional data. The study highlights the potential of metagenomic surveillance to elucidate ecological niches that influence bacterial diversity and resistance dynamics.

Indexed as

antibiotic resistancefungimetabolismmetagenomicsmicrobial genome

Identifiers

PMID41459220
PMCPMC12741054

What Socratic holds

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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 Socratic graph.