Evidence map›Paper›PMID 41731364›Full record

ArticleBMC microbiology2026

Ultra-deep metagenomic sequencing enables reconstruction of diverse, high quality microbial genomes from human urine samples.

Yadong Liu, Hongli Sun, Xinyu Tan, Kexin Li, Zilong He, Songnian Hu

Abstract read
In one paragraph

Article in BMC microbiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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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

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

6 authors.

Yadong Liu *State Key Laboratory of Microbial Diversity and Innovative Utilization, Institute of Microbiology, Chinese Academy of Sciences, Building 103, No. 1, Beichen West Road, Chaoyang District, Beijing, 100101, China.
Hongli Sun *Department of Clinical Laboratory, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China.
Xinyu TanState Key Laboratory of Microbial Diversity and Innovative Utilization, Institute of Microbiology, Chinese Academy of Sciences, Building 103, No. 1, Beichen West Road, Chaoyang District, Beijing, 100101, China.
Kexin LiSystems Biology and Bioinformatics (SBI), Leibniz Institute for Natural Product Research and Infection Biology-Hans Knöll Institute (HKI), Jena, Germany.
Zilong HeSchool of Engineering Medicine, Beihang University, Beijing, China. hezilong@buaa.edu.cn.
Songnian HuState Key Laboratory of Microbial Diversity and Innovative Utilization, Institute of Microbiology, Chinese Academy of Sciences, Building 103, No. 1, Beichen West Road, Chaoyang District, Beijing, 100101, China. husn@im.ac.cn.

Funding

National Key Research and Development Program of China 2021YFF0703805
6 · The paper itself

Abstract

backgroundUrinary tract infections (UTIs) represent a major global health challenge, necessitating the precise identification of causative pathogens for effective diagnosis and treatment. While metagenomic next-generation sequencing (mNGS) has emerged as a powerful diagnostic tool, its clinical application has been limited by the lack of high-quality microbial genomes from urine samples.

resultsWe reconstructed 223 reliable quality MAGs spanning bacterial, fungal, mycoplasmal, and viral, including the first demonstration of multiple Escherichia coli subpopulations within individual urine samples. The collection comprised six fungal genomes, ten mycoplasma genomes, and eight completed viral genomes. Comparative analysis showed 72% concordance with culture while detecting additional pathogens in 30% of cases, including fastidious organisms missed by conventional methods.

conclusionsThis study establishes an optimized mNGS framework that overcomes current diagnostic limitations in UTIs through high-depth sequencing and minimal host contamination, enabling unprecedented resolution of the urinary microbiota, including the first identification of intra-sample E. coli subpopulations. The comprehensive MAG collection provides a valuable resource for advancing UTI diagnostics, mechanistic research, and personalized treatment strategies.

Indexed as

BacteriaGenome, MicrobialHigh-Throughput Nucleotide SequencingMetagenomicsUrinary Tract InfectionsUrineEscherichia coliFungiHumansMicrobiotaDiagnosisHigh-quality MAGsMetagenomic binningmNGSUrine

Identifiers

PMID41731364
PMCPMC13141396

What OpenQuestion holds

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Registered trials

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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.