Medizinische Universität Graz Austria/Österreich - Forschungsportal - Medical University of Graz
Gewählte Publikation:
SHR Neuro Krebs Kardio Lipid Stoffw Microb
Anwar, S; Lamaudiere, M; Hassall, J; Dehinsilu, J; Bhuller, RK; Hold, GL; Vázquez-Campos, X; Mahnert, A; Moissl-Eichinger, C; Gallé, B; Kainz, G; Pjevac, P; Hausmann, B; Schwarz, J; Kohl, G; Berry, D; Vancuren, SJ; Allen-Vercoe, E; Nielsen, N; Sørensen, N; Eklund, A; Nielsen, HB; Riedel, R; Krause, JL; Chang, H-D; Park, S; Song, H-Y; Seo, H; Ul-Haq, A; Kim, S; Kwon, Y; Park, S; Soberon, X; Silva-Herzog, E; Verlouw, JAM; Arp, P; Jhamai, M; Kraaij, R; Geelen, AR; Ducarmon, QR; Smits, WK; Kuijper, EJ; Zwittink, RD; van, Best, N; Penders, J; Le, G; Driessen, C; Kool, J; Shetty, SA; Fuentes, S; Demirci, M; Yigin, A; Whalley, C; Beggs, AD; Quince, C; James, R; Raguideau, S; Gordon, M; Mate, R; Fritzsche, M; Danckert, NP; Blanco, JM; Marchesi, JR; Rauch, M; Williamson, RA; Van't, Wout, AB; Kritz, A; Rosecker, S; Stevens, R; Laws, L; Sayavedra, L; Romano, S; Telatin, A; Baker, D; Narbad, A; Servetas, SL; Kralj, JG; Forry, SP; Hunter, ME; Dootz, JN; Jackson, SA; Mason, CE; Butler, DJ; Mozsary, C; Foox, J; Damle, N; Resh, A; Busswitz, A; Lenz, P; Sontag, S; Cross, A; Sanchez, C; Guo, M; Olson, K; Smith, EA; La, Reau, AJ; Ward, T; Kuersten, S; Hyde, F; Khrebtukova, I; Schroth, G; Rijpkema, S; Amos, GCA; Sergaki, C.
DNA reference reagents isolate biases in microbiome profiling: a global multi-lab study.
mSystems. 2025; e0046625
Doi: 10.1128/msystems.00466-25
PubMed
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- Co-Autor*innen der Med Uni Graz
- Gallé Birgit
- Kainz Gudrun
- Mahnert Alexander
- Moissl-Eichinger Christine
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- Abstract:
- When profiling the human gut microbiome, technical biases introduced by analytical approaches impede translational research, reducing data reliability and study comparability. Here, through a global study involving 23 labs, we analyzed a wide range of sequencing and bioinformatic approaches for the taxonomic profiling of two well-defined DNA reference reagents (RRs) comprised of 20 common gut bacteria. Through both shotgun and 16S rRNA gene amplicon sequencing, we aimed to isolate sources of bias and understand their impact on microbiome profiling accuracy. Importantly, minimum quality criteria (MQC) were established and are used to evaluate profiling performance. We found that the variability of shotgun sequencing data sets was greater than that of 16S rRNA gene amplicon sequencing and isolated sources of bias in wet and dry lab steps, such as sequencing depth, primer and database choices, rarefaction, and 16S copy number adjustment. This study presents well-defined RRs and MQC to combat technical bias, paving the way for reliable and comparable microbiome research.IMPORTANCEThis benchmark paper highlights the true level of variability in microbiome data across the world and across sectors, underscoring the critical need for the use of WHO International DNA Gut Reference Reagents (RRs) to elevate the quality of data in microbiome research. This global study is the first of its kind, revealing the reality of the bias in the field, comprehensively testing methodologies used by leading laboratories across the world, but also providing avenues for workflow optimization, to accelerate innovation and translational research and move the field forward.