Evidence map›Paper›PMID 40269696›Full record

ArticleBMC genomics2025

Rapid, user-friendly, cost-effective DNA and library Preparation methods for whole-genome sequencing of bacteria with varying cell wall composition and GC content using minimal DNA on the illumina platform.

Bertrand Bearzatto, Jean-François Durant, Jérôme Ambroise, Jean-Luc Gala

Abstract read
In one paragraph

Article in BMC genomics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Antimicrobial Resistance Gene Profiles inPathogens (Basel, Switzerland) · 2026
    Article
  2. Complete genome sequence of a plant growth-promotingMicrobiology resource announcements · 2026
    Article
  3. Draft genome sequence ofMicrobiology resource announcements · 2026
    Article
  4. Decoding the genome of Bacillus thuringiensis subsp. israelensis VCRC B668 to understand its mosquitocidal potential for biopesticide development.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2026
    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

4 authors.

Bertrand BearzattoCentre for Applied Molecular Technologies (CTMA), Institute of Experimental and Clinical Research (IREC), Université catholique de Louvain (UCLouvain), Avenue Hippocrate 54/B1.54.01, Woluwe-Saint-Lambert, 1200, Belgium.
Jean-François DurantCentre for Applied Molecular Technologies (CTMA), Institute of Experimental and Clinical Research (IREC), Université catholique de Louvain (UCLouvain), Avenue Hippocrate 54/B1.54.01, Woluwe-Saint-Lambert, 1200, Belgium.
Jérôme AmbroiseCentre for Applied Molecular Technologies (CTMA), Institute of Experimental and Clinical Research (IREC), Université catholique de Louvain (UCLouvain), Avenue Hippocrate 54/B1.54.01, Woluwe-Saint-Lambert, 1200, Belgium.
Jean-Luc GalaCentre for Applied Molecular Technologies (CTMA), Institute of Experimental and Clinical Research (IREC), Université catholique de Louvain (UCLouvain), Avenue Hippocrate 54/B1.54.01, Woluwe-Saint-Lambert, 1200, Belgium. jean-luc.gala@uclouvain.be.

Funding

HORIZON-CL3-2022-DRS-01-09 101121167HORIZON-CL3-2023-DRS-01-04 101168349HORIZON-EIC-2022-PATHFINDEROPEN-01 101099283
6 · The paper itself

Abstract

backgroundWhole-genome sequencing using high-throughput sequencing is essential for identifying and characterising chromosomes and plasmids in nosocomial and environmental bacterial pathogens, including those with bioterrorism potential. To expedite outbreaks investigations, including accidental or intentional bacterial release, without compromising sequencing quality, we evaluated a more time-efficient, user-friendly, and cost-effective approach, using minimal DNA (~ 1 ng) from a single bacterial colony. Four DNA extraction methods were compared: the automated nucleic acid extractor (EZ1 Advanced, Qiagen) with or without DNA purification using AMPure

resultsWhole-genome sequencing performance was evaluated on Bacillus cereus (B. cereus), Staphylococcus epidermidis (S. epidermidis), and Enterobacter cloacae (E. cloacae) ATCC strains. Key performance indicators included sequencing depth evenness across chromosome and plasmids (accounting for GC bias), genome assembly quality measured by contig number, N50, genome fraction, and percentage of mismatches. Key performance indicators confirmed that DNA and library preparation methods significantly influenced WGS quality. GBD enabled efficient sequencing across all three bacterial species, while HS proved inadequate for spore-forming bacteria B. cereus. DN, KP, and NN produced high-quality results with low GC bias, whereas XT exhibited significant GC bias and lower quality for bacteria with low GC content.

conclusionsThis study highlights the importance of selecting suitable DNA and sequencing library preparation methods based on bacterial cell wall composition and GC content for optimal HTS outcomes.

Indexed as

BacteriaCell WallDNA, BacterialGene LibraryGenome, BacterialWhole Genome SequencingBase CompositionCost-Benefit AnalysisHigh-Throughput Nucleotide SequencingDNA, BacterialATCC bacteriaBacillusCBRN biothreatsExtraction methodsLibrary preparation kitsPlasmidSequencing depthWhole genome sequencing

Identifiers

PMID40269696
PMCPMC12020097

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

None linked

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.