Evidence map›Paper›PMID 40018988›Full record

ArticleMolecular ecology resources2025

Evaluating the Benefits and Limits of Multiple Displacement Amplification With Whole-Genome Oxford Nanopore Sequencing.

Fiifi Agyabeng-Dadzie, Megan S Beaudry, Alex Deyanov, Haley Slanis, Minh Q Duong, Randi Turner, Asis Khan, Cesar A Arias, Jessica C Kissinger, Travis C Glenn and 1 more

Abstract read
In one paragraph

Article in Molecular ecology resources, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Advancing genomics for waterborne pathogen surveillance in Australia.The Lancet regional health. Western Pacific · 2026
    Review
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. A new chromosome-level genome assembly and annotation ofbioRxiv : the preprint server for biology · 2024
    Article
  11. Current tropical medicine reports · 2024
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Fiifi Agyabeng-DadzieDepartment of Genetics, University of Georgia, Athens, Georgia, USA.ORCID https://orcid.org/0000-0002-1556-8323
Megan S BeaudryDepartment of Environmental Health Science, University of Georgia, Athens, Georgia, USA.
Alex DeyanovCenter for Infectious Disease, Houston Methodist Research Institute, Houston, Texas, USA.
Haley SlanisCenter for Infectious Disease, Houston Methodist Research Institute, Houston, Texas, USA.
Minh Q DuongCenter for Infectious Disease, Houston Methodist Research Institute, Houston, Texas, USA.
Randi TurnerCenter for Tropical and Emerging Global Diseases, University of Georgia, Athens, Georgia, USA.ORCID https://orcid.org/0000-0003-2441-5115
Asis KhanUSA Department of Agriculture, Agricultural Research Service, Beltsville Agricultural Research Service, Animal Parasitic Disease Laboratory, Beltsville, Maryland, USA.
Cesar A AriasCenter for Infectious Disease, Houston Methodist Research Institute, Houston, Texas, USA.
Jessica C KissingerDepartment of Genetics, University of Georgia, Athens, Georgia, USA.
Travis C GlennDepartment of Genetics, University of Georgia, Athens, Georgia, USA.ORCID https://orcid.org/0000-0001-7725-3637
Rodrigo de Paula BaptistaCenter for Infectious Disease, Houston Methodist Research Institute, Houston, Texas, USA.ORCID https://orcid.org/0000-0002-1806-8260

Funding

T32 Predoctoral training grant in geneticsT32GM007103 · NIGMS · UNIVERSITY OF GEORGIA (UGA) · PI DYER, KELLY A · 1985 to 2021
$5.9M
T32 Predoctoral Training Grant in GeneticsT32GM142623 · NIGMS · UNIVERSITY OF GEORGIA · PI Kelly A Dyer, Mary Grace Goll · 2022 to 2026
$2.1M
Capturing the genomic variation present in Cryptosporidium and cryptosporidiosisR01AI148667 · NIAID · UNIVERSITY OF GEORGIA · PI GLENN, TRAVIS C., KISSINGER, JESSICA C · 2020 to 2023
$1.8M
NIAID NIH HHS R01 AI148667NIGMS NIH HHS T32 GM007103NIGMS NIH HHS T32 GM142623NIGMS NIH HHS T32GM142623
6 · The paper itself

Abstract

Multiple displacement amplification (MDA) outperforms conventional PCR in long fragment and whole-genome amplification, making it attractive to couple MDA with long-read sequencing of samples with limited quantities of DNA to obtain improved genome assemblies. Here, we explore the efficacy and limits of MDA for efficient low-cost genome sequence assembly using Oxford Nanopore Technologies (ONTs) rapid library preparations and minION sequencing. We successfully generated almost complete genome sequences for all organisms examined, including Gram-positive (Staphylococcus aureus, Enterococcus faecium) and Gram-negative (Escherichia coli) prokaryotes and one challenging eukaryotic pathogen (Cryptosporidium spp) representing a broad spectrum of critical infectious disease pathogens. High-quality data from those samples were generated starting with only 0.025 ng of total DNA. Controlled sheared DNA samples exhibited a distinct pattern of size increase after MDA, which may be associated with the amplification of long, low-abundance fragments present in the assay, as well as generating concatemeric sequences during amplification. To address concatemers, we developed a computational pipeline (CADECT: Concatemer Detection Tool) to identify and remove putative concatemeric sequences. This study highlights the efficacy of MDA in generating high-quality genome assemblies from limited amounts of input DNA. Also, the CADECT pipeline effectively mitigated the impact of concatemeric sequences, enabling the assembly of contiguous sequences even in cases where the input genomic DNA was degraded. These results have significant implications for the study of organisms that are challenging to culture in vitro, such as Cryptosporidium, and for expediting critical results in clinical settings with limited quantities of available genomic DNA.

Indexed as

High-Throughput Nucleotide SequencingNanopore SequencingNucleic Acid Amplification TechniquesSequence Analysis, DNAWhole Genome SequencingCryptosporidiumEscherichia coliGenome, BacterialStaphylococcus aureusApicomplexaEnterobacteralesEnterococcaceaeinfectious diseaseslow‐abundance DNArare DNA

Identifiers

PMID40018988
PMCPMC12225698

What OpenQuestion holds

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LicenceCC BY-NC
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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.