TY - JOUR
T1 - A Lot on Your Plate? Well-to-Well Contamination as an Additional Confounder in Microbiome Sequence Analyses
AU - Walker, Alan W.
N1 - A.W.W. receives core research funding from the Scottish Government’s Rural and Environment Science and Analytical Services (RESAS) division.
I thank Paul Scott, Wellcome Sanger Institute, for his title suggestions for this commentary.
PY - 2019/7/31
Y1 - 2019/7/31
N2 - DNA sequence-based microbiome studies can be impacted by a range of different methodological artefacts. Contamination originating from laboratory kits and reagents can lead to erroneous results, particularly in samples containing a low microbial biomass. Minich and colleagues (mSystems 4:e00186-19, 2019, https://doi.org/10.1128/mSystems.00186-19) report on a different form of contamination, cross-contamination between samples that are processed together. They find that transfer of material between samples in 96-well plates is a common occurrence. The DNA extraction step, particularly when carried out automatedly, is identified as the major source of this contamination type. Well-to-well contamination distorts diversity measures, with low-biomass samples particularly affected. This report has important implications for attempts to decontaminate microbiome sequencing results. As contamination is derived from both external sources and crossover between samples, it is not appropriate to simply remove sequence variants that are detected in negative-control blanks, and more-nuanced decontamination approaches may be required.
AB - DNA sequence-based microbiome studies can be impacted by a range of different methodological artefacts. Contamination originating from laboratory kits and reagents can lead to erroneous results, particularly in samples containing a low microbial biomass. Minich and colleagues (mSystems 4:e00186-19, 2019, https://doi.org/10.1128/mSystems.00186-19) report on a different form of contamination, cross-contamination between samples that are processed together. They find that transfer of material between samples in 96-well plates is a common occurrence. The DNA extraction step, particularly when carried out automatedly, is identified as the major source of this contamination type. Well-to-well contamination distorts diversity measures, with low-biomass samples particularly affected. This report has important implications for attempts to decontaminate microbiome sequencing results. As contamination is derived from both external sources and crossover between samples, it is not appropriate to simply remove sequence variants that are detected in negative-control blanks, and more-nuanced decontamination approaches may be required.
KW - contamination
KW - microbiome
KW - sequencing
KW - Sequencing
KW - Contamination
KW - Microbiome
UR - http://msystems.asm.org/lookup/doi/10.1128/mSystems.00362-19
UR - http://www.mendeley.com/research/lot-plate-welltowell-contamination-additional-confounder-microbiome-sequence-analyses
UR - http://www.scopus.com/inward/record.url?scp=85071032509&partnerID=8YFLogxK
U2 - 10.1128/mSystems.00362-19
DO - 10.1128/mSystems.00362-19
M3 - Comment/debate
C2 - 31239398
VL - 4
JO - mSystems
JF - mSystems
SN - 2379-5077
IS - 4
M1 - e00362-19
ER -