Evidence map›Paper›PMID 40197053›Full record

ArticlemSystems2025

Optimizing fungal DNA extraction and purification for Oxford Nanopore untargeted shotgun metagenomic sequencing from simulated hemoculture specimens.

Nattapong Langsiri, Wieland Meyer, Laszlo Irinyi, Navaporn Worasilchai, Nuttapon Pombubpa, Thidathip Wongsurawat, Piroon Jenjaroenpun, J Jennifer Luangsa-Ard, Ariya Chindamporn

Abstract read
In one paragraph

Article in mSystems, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Hidden Fungal DNA Structures May Shape Sequencing Outcomes.BioEssays : news and reviews in molecular, cellular and developmental biology · 2026
    Article
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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

9 authors.

Nattapong LangsiriDepartment of Microbiology, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.
Wieland MeyerWesterdijk Fungal Biodiversity Institute, Utrecht, the Netherlands.
Laszlo IrinyiMolecular Mycology Research Laboratory, Centre for Infectious Diseases and Microbiology, Westmead Clinical School, Sydney Medical School, Faculty of Medicine and Health, Sydney Infectious Diseases Institute, University of Sydney, Westmead Hospital, Research and Education Network, Westmead, New South Wales, Australia.
Navaporn WorasilchaiDepartment of Transfusion Medicine and Clinical Microbiology, Faculty of Allied Health Sciences, Chulalongkorn University, Bangkok, Thailand.
Nuttapon PombubpaDepartment of Microbiology, Faculty of Science, Chulalongkorn University, Bangkok, Thailand.ORCID 0000-0003-3385-5331
Thidathip WongsurawatDepartment of Biomedical Informatics, College of Medicine, University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA.ORCID 0000-0002-3659-2074
Piroon JenjaroenpunDepartment of Biomedical Informatics, College of Medicine, University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA.ORCID 0000-0002-1555-401X
J Jennifer Luangsa-ArdNational Center for Genetic Engineering and Biotechnology (BIOTEC), National Science and Technology Development Agency (NSTDA), Pathum Thani, Thailand.
Ariya ChindampornDepartment of Microbiology, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.ORCID 0000-0002-9761-1670

Funding

Chulalongkorn University HEA663000027Faculty of Medicine, Chulalongkorn University RA-MF 47/64National Research Council of Thailand N11A650143
6 · The paper itself

Abstract

Long-read metagenomics provides a promising alternative approach to fungal identification, circumventing methodological biases, associated with DNA amplification, which is a prerequisite for DNA barcoding/metabarcoding based on the primary fungal DNA barcode (Internal Transcribed Spacer (ITS) region). However, DNA extraction for long-read sequencing-based fungal identification poses a significant challenge, as obtaining long and intact fungal DNA is imperative. Comparing different lysis methods showed that chemical lysis with CTAB/SDS generated DNA from pure fungal cultures with high yields (ranging from 11.20 ± 0.17 µg to 22.99 ± 2.22 µg depending on the species) while preserving integrity. Evaluating the efficacy of human DNA depletion protocols demonstrated an 88.73% reduction in human reads and a 99.53% increase in fungal reads compared to the untreated yeast-spiked human blood control. Evaluation of the developed DNA extraction protocol on simulated clinical hemocultures revealed that the obtained DNA sequences exceed 10 kb in length, enabling a highly efficient sequencing run with over 80% active pores. The quality of the DNA, as indicated by the 260/280 and 260/230 ratios obtained from NanoDrop spectrophotometer readings, exceeded 1.8 and 2.0, respectively. This demonstrated the great potential of the herein optimized protocol to extract high-quality fungal DNA from clinical specimens enabling long-read metagenomics sequencing. IMPORTANCE: A novel streamlined DNA extraction protocol was developed to efficiently isolate high molecular weight fungal DNA from hemoculture samples, which is crucial for long-read sequencing applications. By eliminating the need for labor-intensive and shear-force-inducing steps, such as liquid nitrogen grinding or bead beating, the protocol is more user-friendly and better suited for clinical laboratory settings. The automation of cleanup and extraction steps further shortens the overall turnaround time to under 6 hours. Although not specifically designed for ultra-long DNA extraction, this protocol effectively supports fungal identification through Oxford Nanopore Technology (ONT) sequencing. It yields high molecular weight DNA, resulting in longer sequence fragments that improve the number of fungal reads over human reads. Future improvements, including adaptive sampling technology, could further simplify the process by reducing the need for human DNA depletion, paving the way for more automated, bioinformatics-driven workflows.

Indexed as

DNA, FungalFungiMetagenomicsNanopore SequencingHigh-Throughput Nucleotide SequencingHumansNanoporesSequence Analysis, DNADNA, FungalDNA preparationlong readOxford Nanopore Technologysimulated hemoculture

Identifiers

PMID40197053
PMCPMC12172461

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LicenceCC BY
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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.