The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Common Contaminants in Next-Generation Sequencing That Hinder Discovery of Low-Abundance Microbes
Open accessAbstract
Unbiased high-throughput sequencing of whole metagenome shotgun DNA libraries is a promising new approach to identifying microbes in clinical specimens, which, unlike other techniques, is not limited to known sequences. Unlike most sequencing applications, it is highly sensitive to laboratory contaminants as these will appear to originate from the clinical specimens. To assess the extent and diversity of sequence contaminants, we aligned 57 "1000 Genomes Project" sequencing runs from six centers against the four largest NCBI BLAST databases, detecting reads of diverse contaminant species in all runs and identifying the most common of these contaminant genera (Bradyrhizobium) in assembled genomes from the NCBI Genome database. Many of these microorganisms have been reported as contaminants of ultrapure water systems. Studies aiming to identify novel microbes in clinical specimens will greatly benefit from not only preventive measures such as extensive UV irradiation of water and cross-validation using independent techniques, but also a concerted effort to sequence the complete genomes of common contaminants so that they may be subtracted computationally.
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Cites
A map of human genome variation from population-scale sequencing.
The 1000 Genomes Project Consortium (2010) · Nature · doi:10.1038/nature09534 · Cited by 7,877
Clonal Integration of a Polyomavirus in Human Merkel Cell Carcinoma
Feng, H., Shuda, M., Chang, Y., & Moore, P. S. (2008) · Science · doi:10.1126/science.1152586 · Cited by 3,208
Topographic diversity of fungal and bacterial communities in human skin
NIH Intramural Sequencing Center Comparative Sequencing Program, Findley, K., Oh, J., Yang, J., Conlan, S., Deming, C., Meyer, J. A., Schoenfeld, D., Nomicos, E., Park, M., et al. (2013) · Nature · doi:10.1038/nature12171 · Cited by 1,206
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Reagent and laboratory contamination can critically impact sequence-based microbiome analyses
Salter, S. J., Cox, M. J., Turek, E. M., Calus, S. T., Cookson, W. O., Moffatt, M. F., Turner, P., Parkhill, J., Loman, N. J., & Walker, A. W. (2014) · BMC Biology · doi:10.1186/s12915-014-0087-z · Cited by 3,463
Milani, C., Duranti, S., Bottacini, F., Casey, E., Turroni, F., Mahony, J., Belzer, C., Delgado Palacio, S., Arboleya Montes, S., Mancabelli, L., et al. (2017) · Microbiology and Molecular Biology Reviews · doi:10.1128/mmbr.00036-17 · Cited by 1,950
Contamination in Low Microbial Biomass Microbiome Studies: Issues and Recommendations
Eisenhofer, R., Minich, J. J., Marotz, C., Cooper, A., Knight, R., & Weyrich, L. S. (2019) · Trends in Microbiology · doi:10.1016/j.tim.2018.11.003 · Cited by 1,146
Tumor-resident intracellular microbiota promotes metastatic colonization in breast cancer
Fu, A., Yao, B., Dong, T., Chen, Y., Yao, J., Liu, Y., Li, H., Bai, H., Liu, X., Zhang, Y., et al. (2022) · Cell · doi:10.1016/j.cell.2022.02.027 · Cited by 981
Characterization of the gut microbiome using 16S or shotgun metagenomics
Jovel, J., Patterson, J., Wang, W., Hotte, N., O'Keefe, S., Mitchel, T., Perry, T., Kao, D., Mason, A. L., Madsen, K. L., et al. (2016) · Frontiers in Microbiology · doi:10.3389/fmicb.2016.00459 · Cited by 942
Metadata
- Authors
- Laurence, M., Hatzis, C., & Brash, D. E.
- Venue
- PLoS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2014-05-16
- Volume
- 9
- Issue
- 5
- Pages
- e97876
- ISSN
- 1932-6203 (ISSN-L)
- OpenAlex
- W1970729332
- Cited by
- 318
- References
- 3
- FWCI
- 8.27
- Type
- journal article
- Language
- en
- Open access
- gold
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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