Evidence map›Paper›PMID 42157084›Full record

ArticleBMC genomics2026

Evaluation of DNA extraction methods from clinical Mycobacterium tuberculosis primary liquid culture for whole-genome sequencing.

Emilyn Costa Conceição, Mishka Haffejee, Felicia Wells, Brendon Mann, Tim Heupink, Astrid Paulse, Jennifer Williams, Anzaan Dippenaar, Yonas Ghebrekristos, Megan Burger and 10 more

Abstract read
In one paragraph

Article in BMC genomics, 2026. 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

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

20 authors.

Emilyn Costa Conceição *South African Medical Research Council Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa. emilyncosta@sun.ac.za.ORCID http://orcid.org/0000-0002-7445-6620
Mishka Haffejee *South African Medical Research Council Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa.
Felicia WellsSouth African Medical Research Council Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa.
Brendon MannSouth African Medical Research Council Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa.
Tim HeupinkTuberculosis Omics Research Consortium, Department of Family Medicine and Population Health, Global Health Institute, Faculty of Medicine and Health Sciences, University of Antwerp, Antwerp, Belgium.
Astrid PaulseSouth African Medical Research Council Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa.
Jennifer WilliamsSouth African Medical Research Council Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa.
Anzaan DippenaarTuberculosis Omics Research Consortium, Department of Family Medicine and Population Health, Global Health Institute, Faculty of Medicine and Health Sciences, University of Antwerp, Antwerp, Belgium.
Yonas GhebrekristosNational Health Laboratory Service Green Point, Cape Town, South Africa.
Megan BurgerNational Health Laboratory Service Green Point, Cape Town, South Africa.
Vincent RennieTuberculosis Omics Research Consortium, Department of Family Medicine and Population Health, Global Health Institute, Faculty of Medicine and Health Sciences, University of Antwerp, Antwerp, Belgium.
Miguel de Diego FuertesTuberculosis Omics Research Consortium, Department of Family Medicine and Population Health, Global Health Institute, Faculty of Medicine and Health Sciences, University of Antwerp, Antwerp, Belgium.
Ilham Al-TalibSouth African Medical Research Council Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa.
Nabila IsmailSouth African Medical Research Council Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa.
Melanie GrobbelaarSouth African Medical Research Council Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa.
Elizabeth Maria StreicherSouth African Medical Research Council Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa.
Túlio de OliveiraCentre for Epidemic Response and Innovation (CERI), School of Data Science and Computational Thinking, Stellenbosch University, Cape Town, South Africa.
Gian Van der SpuySouth African Medical Research Council Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa.
Annelies Van Rie *Tuberculosis Omics Research Consortium, Department of Family Medicine and Population Health, Global Health Institute, Faculty of Medicine and Health Sciences, University of Antwerp, Antwerp, Belgium. annelies.vanrie@uantwerpen.be.
Robin Warren *South African Medical Research Council Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa. rw1@sun.ac.za.

Funding

Fonds Wetenschappelijk Onderzoek T001018NFWO Odysseus G0F8316NGlobal Health EDCTP3 Joint Undertaking and its members as well as Gates Foundation - GenPath Africa 101103171
6 · The paper itself

Abstract

Whole-genome sequencing (WGS) has potential for determining the complete drug-resistance profile of clinical Mycobacterium tuberculosis (Mtb) strains. Cetyltrimethylammonium-bromide (CTAB), the conventional method for Mtb DNA extraction, is labour-intensive and difficult to implement in routine laboratory settings. This study evaluated the performance of commercial kits to extract DNA from clinical primary liquid cultures (CPC). Mtb-positive decontaminated sputum sediments were pooled and used to inoculate mycobacteria-growth-indicator tubes (MGIT). Positive non-contaminated MGIT cultures were pooled and aliquoted to generate 10 technical replicate isolates for DNA extraction by CTAB method with (+) or without (-) RNAse and nine DNA extraction commercial kits (+/-modifications): Zymo-DNA Clean and Concentrator, Zymo-Quick-DNA Fungal/Bacterial (+ lysozyme-digestion), InstaGene (IGM) +/-RiboLyser Homogeniser (RH), GenoLyse (+/-precipitation), FluoroLyse (+/-precipitation), PrepGEM-Bacterial (+/-precipitation), NucleoSpin-Tissue, NucleoMag-Pathogen, and Gene-Xpert buffer (+ precipitation or +purification). Genomic libraries for WGS were generated using the Illumina DNA-Prep Kit and evaluated for quality using NanoDrop, Qubit DNA ds/HS and TapeStation assays. Ten performance parameters were evaluated out of a score of 5: quantity of total dsDNA, DNA purity ratio A260/280 and A260/230, PCR amplifiability (targeting the pncA gene, 615 bp), concentration of genomic libraries (ng/µl), library fragment size (bp), mapped percentage, median coverage, turnaround time and cost. IGM/RH showed the highest overall performance, followed by IGM, CTAB/RNase, GenoLyse+precipitation, and FluoroLyse+precipitation. Commercial methods achieved sequencing results comparable to CTAB while requiring shorter processing times and lower costs. Simplified commercial extraction methods can produce DNA suitable for WGS from CPC samples while reducing processing time and cost compared with CTAB, supporting their use in routine TB workflows.

Indexed as

DNA, BacterialMycobacterium tuberculosisWhole Genome SequencingGenome, BacterialHumansShotgun SequencingDNA, BacterialClinical primary MGIT cultureCommercial kitsDiagnosticsDNA extractionWhole-genome sequencing

Identifiers

PMID42157084
PMCPMC13352775

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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.