Evidence map›Paper›PMID 41278782›Full record

ArticlebioRxiv : the preprint server for biology2025

Optimizing methods for virome analysis based on studies of a synthetic viral community.

Jiayi Duan, Andrew D Marques, Matthew Hogenauer, Young Hwang, Yanjia Zhang, Aaron Timperman, Stephanie Higgins, Naomi G Wilson, Elizabeth Aine Fitts, Haeun Karissa Lim and 4 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

5 · Who and what money

Authors and funding

14 authors.

Jiayi DuanDepartment of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104.
Andrew D MarquesDepartment of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104.ORCID 0000-0001-8887-7242
Matthew HogenauerDepartment of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104.ORCID 0009-0009-8063-425X
Young HwangDepartment of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104.
Yanjia ZhangDepartment of Bioengineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA 19104.
Aaron TimpermanDepartment of Bioengineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA 19104.ORCID 0000-0002-4009-6313
Stephanie HigginsDivision of Gastroenterology, Hepatology & Nutrition, Children's Hospital of Philadelphia, Philadelphia, PA.
Naomi G WilsonDivision of Gastroenterology, Hepatology & Nutrition, Children's Hospital of Philadelphia, Philadelphia, PA.
Elizabeth Aine FittsDepartment of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104.
Haeun Karissa LimDepartment of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104.
Kyle BittingerDivision of Gastroenterology, Hepatology & Nutrition, Children's Hospital of Philadelphia, Philadelphia, PA.ORCID 0000-0003-3472-5934
Ahmed M MoustafaDivision of Gastroenterology, Hepatology & Nutrition, Children's Hospital of Philadelphia, Philadelphia, PA.
Ronald G CollmanDepartment of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104.ORCID 0000-0002-0508-3701
Frederic D BushmanDepartment of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104.ORCID 0000-0003-4740-4056

Funding

Virus & Reservoirs CoreP30AI045008 · NIAID · UNIVERSITY OF PENNSYLVANIA · PI Ronald G Collman · 1999 to 2026
$78.6M
The Oro-Respiratory-Gut Virome Axis Over Space and TimeU54AG089323 · NIA · UNIVERSITY OF PENNSYLVANIA · PI Frederic D Bushman, Ronald G Collman · 2025 to 2026
$12.8M
Project 3: Defining adaptive immune interactions that shape Clostridioides difficile infectionU19AI174998 · NIAID · UNIVERSITY OF PENNSYLVANIA · PI Frederic D Bushman · 2023 to 2026
$7.6M
Computational methods for discovery of disease-modulating microbial genesR01LM014503 · NLM · WISTAR INSTITUTE · PI Noam Auslander · 2024 to 2026
$1.2M
NIAID NIH HHS P30 AI045008NIAID NIH HHS U19 AI174998NIA NIH HHS U54 AG089323NLM NIH HHS R01 LM014503
6 · The paper itself

Abstract

Studies of whole viral populations--the "virome"--are yielding exciting new insights into biological systems, but methods are still being optimized. Here we describe generation and use of a synthetic viral community to assess several technical challenges important in virome analysis. Our mock community was comprised of phages lambda, T4, M13, MS2, and phi6, together with adeno-associated virus (AAV), murine hepatitis virus (MHV), and vaccinia virus (VV). We spiked the mock community into different human sample types, including stool, saliva, oropharyngeal (OP) wash, and bronchoalveolar lavage (BAL), then passed the samples through different virus enrichment protocols and analyzed by Illumina sequencing. Compared to direct metagenomic sequencing, VLP enrichment protocols greatly increased viral read yields from virus-rich samples such as from stool and saliva. Three VLP enrichment work flows were compared, and each was found to have strengths and weaknesses. Four methods for DNA amplification were compared, with three showing over-amplification of small circular ssDNA viruses, most notably GenomiPhi. Studies of viral particle stability in the presence of nuclease showed that most viral genomes were stable when protected in viral particles, but phage MS2 RNA was unexpectedly labile under some of the conditions tested. Comparison of Illumina 1000-cycle sequencing versus 300-cycle sequencing showed that longer reads supported generation of longer viral genome assemblies. Bacteriophage DNA can be modified by at least 12 different chemistries, raising the question of whether these modifications might block recovery in virome analytical protocols. We tested bacteriophage T4 DNA modified with glucosyl-hydroxymethylcytosine (ghmC) and hydroxymethylcytosine (hmC), and found that both were readily detected, though the recovery of ghmC-modified DNA was reduced. These studies together with published data help provide guidance for virome researchers optimizing analytical protocols.

Indexed as

bacteriophageDNA sequencingmethods optimizationviromevirusvirus enrichment

Identifiers

PMID41278782
PMCPMC12633245

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.