Evidence map›Paper›PMID 40600714›Full record

ArticleMicrobiology spectrum2025

Biases and complementarity in gut viromes obtained from bulk and virus-like particle-enriched metagenomic sequencing.

Yun Li, Chuqing Sun, Jiaying Zhu, Mingyan Geng, Min Li, Xing-Ming Zhao, Wei-Hua Chen

Abstract read
In one paragraph

Article in Microbiology spectrum, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Review
  2. Review
  3. Remodelling of the gut virome after long-term fasting.NPJ biofilms and microbiomes · 2026
    Article
  4. Article
  5. Article
  6. Gut virome dynamics: from commensal to critical player in health and disease.Nature reviews. Gastroenterology & hepatology · 2026
    Review
  7. Article
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.

Yun Li *Key Laboratory of Molecular Biophysics of the Ministry of Education, Hubei Key Laboratory of Bioinformatics and Molecular Imaging, Center for Artificial Intelligence Biology, Department of Bioinformatics and Systems Biology, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, China.ORCID 0009-0002-7133-4684
Chuqing Sun *Wallenberg Laboratory, Department of Molecular and Clinical Medicine and Sahlgrenska Center for Cardiovascular and Metabolic Research, University of Gothenburg, Gothenburg, Sweden.
Jiaying ZhuKey Laboratory of Molecular Biophysics of the Ministry of Education, Hubei Key Laboratory of Bioinformatics and Molecular Imaging, Center for Artificial Intelligence Biology, Department of Bioinformatics and Systems Biology, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, China.
Mingyan GengInstitution of Medical Artificial Intelligence, Binzhou Medical University, Yantai, China.
Min LiKey Laboratory of Molecular Biophysics of the Ministry of Education, Hubei Key Laboratory of Bioinformatics and Molecular Imaging, Center for Artificial Intelligence Biology, Department of Bioinformatics and Systems Biology, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, China.
Xing-Ming ZhaoDepartment of Neurology, Zhongshan Hospital and Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China.ORCID 0000-0002-4531-3970
Wei-Hua ChenKey Laboratory of Molecular Biophysics of the Ministry of Education, Hubei Key Laboratory of Bioinformatics and Molecular Imaging, Center for Artificial Intelligence Biology, Department of Bioinformatics and Systems Biology, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, China.ORCID 0000-0001-5160-4398

Funding

National Key Research and Development Program of China 2019YFA0905600National Key Research and Development Program of China 2020YFA0712403National Natural Science Foundation of China Nos. 32070660National Natural Science Foundation of China T2225015,61932008NNSF-VR Sino-Swedish Joint Research Programme 82161138017
6 · The paper itself

Abstract

Due to varying sequencing strategies, current gut virome findings show significant variability. Specifically, bulk- and virus-like particle (VLP)-enriched metagenomic sequencing (termed bulk and VLP, respectively) present unique advantages and limitations, affecting viral genome discovery, taxonomic annotation, and community structure analysis. A comprehensive comparison of these strategies is crucial for thoroughly understanding the gut virome. This study comprehensively compared gut viromes identified from paired bulk and VLP data from 151 adult and 141 infant fecal samples. The VLP method showed superior performance to bulk in viral genome discovery in both data sets by recovering longer and more complete viral genomes, with higher sensitivity for low-abundant ones, resulting in a higher taxonomic annotation rate. However, we observed no correlations in the viral community structure (i.e., Shannon diversities) between bulk- and VLP-derived viromes, implying biases introduced during VLP enrichment. Such biases could be caused by the bacterial host features, such as the structural differences in cell walls and the prevalence and abundance of the viruses. Viruses that are of low prevalence, low abundance, or have Gram-positive bacteria as their hosts were enriched in VLP-derived viromes, in both the adult and infant data sets. Significant complementarity was observed between bulk and VLP viromes, with only about a quarter (26.7% in infants; 29.3% in adults) of VLP-viral genomes overlapping with bulk viruses. Together, our study identifies causal factors underlying the biases of bulk and VLP strategies in human gut virome studies and advocates the use of both strategies to enhance a comprehensive understanding of gut viromes. IMPORTANCE: The two mainstream gut phageome profiling strategies, namely bulk and virus-like particle (VLP), generated significantly overlapped results and have their own merits and drawbacks. Particularly, VLP exhibits higher efficiency in obtaining more, longer, and more complete viral genomes. However, VLP sequencing has the potential to alter the natural structure of viral communities, often resulting in the identification of viruses with lower prevalence and those specifically associated with Gram-positive bacterial hosts. While bulk metagenome features a more stable and diverse community, which can well reveal the interactions between viruses and bacteria. Nevertheless, bulk sequencing can suffer from lower coverage, leading to fragmented sequences and potentially missing some viral species. Therefore, it is essential to recognize that these methods are complementary rather than competitive in the comprehensive characterization of the gut phageome.

Indexed as

Gastrointestinal MicrobiomeMetagenomicsViromeVirusesAdultFecesFemaleGenome, ViralHumansInfantMaleMetagenomebulk-metagenomic sequencinggut healthgut phagegut virusviral-like particle metagenomic sequencingvirome

Identifiers

PMID40600714
PMCPMC12323601

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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.