The DOI matches its Crossref record; 44 of the 44 references it cites were found in a registry or an index.
Modular approach to customise sample preparation procedures for viral metagenomics: a reproducible protocol for virome analysis
Open accessAbstract
A major limitation for better understanding the role of the human gut virome in health and disease is the lack of validated methods that allow high throughput virome analysis. To overcome this, we evaluated the quantitative effect of homogenisation, centrifugation, filtration, chloroform treatment and random amplification on a mock-virome (containing nine highly diverse viruses) and a bacterial mock-community (containing four faecal bacterial species) using quantitative PCR and next-generation sequencing. This resulted in an optimised protocol that was able to recover all viruses present in the mock-virome and strongly alters the ratio of viral versus bacterial and 16S rRNA genetic material in favour of viruses (from 43.2% to 96.7% viral reads and from 47.6% to 0.19% bacterial reads). Furthermore, our study indicated that most of the currently used virome protocols, using small filter pores and/or stringent centrifugation conditions may have largely overlooked large viruses present in viromes. We propose NetoVIR (N ovel e nrichment t echnique o f VIR omes), which allows for a fast, reproducible and high throughput sample preparation for viral metagenomics studies, introducing minimal bias. This procedure is optimised mainly for faecal samples, but with appropriate concentration steps can also be used for other sample types with lower initial viral loads.
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Cites
Trimmomatic: a flexible trimmer for Illumina sequence data
Bolger, A. M., Lohse, M., & Usadel, B. (2014) · Bioinformatics · doi:10.1093/bioinformatics/btu170 · Cited by 65,548
The Sequence Alignment/Map format and SAMtools
Li, H., Handsaker, B., Wysoker, A., Fennell, T., Ruan, J., Homer, N., Marth, G., Abecasis, G., Durbin, R., & 1000 Genome Project Data Processing Subgroup (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp352 · Cited by 62,041
Fast and accurate short read alignment with Burrows-Wheeler transform
Li, H., & Durbin, R. (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp324 · Cited by 58,607
Gut microbiota composition correlates with diet and health in the elderly
Claesson, M. J., Jeffery, I. B., Conde, S., Power, S. E., O’Connor, E. M., Cusack, S., Harris, H. M. B., Coakley, M., Lakshminarayanan, B., O’Sullivan, O., et al. (2012) · Nature · doi:10.1038/nature11319 · Cited by 3,314
Structure and function of the global ocean microbiome
Sunagawa, S., Coelho, L. P., Chaffron, S., Kultima, J. R., Labadie, K., Salazar, G., Djahanschiri, B., Zeller, G., Mende, D. R., Alberti, A., et al. (2015) · Science · doi:10.1126/science.1261359 · Cited by 2,921
Disease-Specific Alterations in the Enteric Virome in Inflammatory Bowel Disease
Norman, J. M., Handley, S. A., Baldridge, M. T., Droit, L., Liu, C. Y., Keller, B. C., Kambal, A., Monaco, C. L., Zhao, G., Fleshner, P., et al. (2015) · Cell · doi:10.1016/j.cell.2015.01.002 · Cited by 1,285
FastUniq: A Fast De Novo Duplicates Removal Tool for Paired Short Reads
Xu, H., Luo, X., Qian, J., Pang, X., Song, J., Qian, G., Chen, J., & Chen, S. (2012) · PLoS ONE · doi:10.1371/journal.pone.0052249 · Cited by 619
Laboratory procedures to generate viral metagenomes
Thurber, R. V., Haynes, M., Breitbart, M., Wegley, L., & Rohwer, F. (2009) · Nature Protocols · doi:10.1038/nprot.2009.10 · Cited by 599
Origins and evolution of viruses of eukaryotes: The ultimate modularity
Koonin, E. V., Dolja, V. V., & Krupovic, M. (2015) · Virology · doi:10.1016/j.virol.2015.02.039 · Cited by 570
Layton, A., McKay, L., Williams, D., Garrett, V., Gentry, R., & Sayler, G. (2006) · Applied and Environmental Microbiology · doi:10.1128/aem.01036-05 · Cited by 563
Cited by
Metagenomic compendium of 189,680 DNA viruses from the human gut microbiome
Nayfach, S., Páez-Espino, D., Call, L., Low, S. J., Sberro, H., Ivanova, N. N., Proal, A. D., Fischbach, M. A., Bhatt, A. S., Hugenholtz, P., et al. (2021) · Nature Microbiology · doi:10.1038/s41564-021-00928-6 · Cited by 580
Microbial Ecology along the Gastrointestinal Tract
Hillman, E. T., Lu, H., Yao, T., & Nakatsu, C. H. (2017) · Microbes and environments · doi:10.1264/jsme2.me17017 · Cited by 580
Parker, A., Romano, S., Ansorge, R., Aboelnour, A., Le Gall, G., Savva, G. M., Pontifex, M. G., Telatin, A., Baker, D., Jones, E., et al. (2022) · Microbiome · doi:10.1186/s40168-022-01243-w · Cited by 368
Phages and their potential to modulate the microbiome and immunity
Federici, S., Nobs, S. P., & Elinav, E. (2021) · Cellular & Molecular Immunology · doi:10.1038/s41423-020-00532-4 · Cited by 222
Virus Metagenomics in Farm Animals: A Systematic Review
Kwok, K. T. T., Nieuwenhuijse, D. F., Phan, M. V. T., & Koopmans, M. P. G. (2020) · Viruses · doi:10.3390/v12010107 · Cited by 97
Metadata
- Authors
- Conceição-Neto, N., Zeller, M., Lefrère, H., De Bruyn, P., Beller, L., Deboutte, W., Yinda, C. K., Lavigne, R., Maes, P., Ranst, M. V., Heylen, E., & Matthijnssens, J.
- Venue
- Scientific Reports
- Published
- 2015-11-12
- Volume
- 5
- Issue
- 1
- Pages
- 16532-16532
- ISSN
- 2045-2322 (ISSN-L)
- OpenAlex
- W2410580207
- Cited by
- 363
- References
- 44
- FWCI
- 15.15
- Type
- journal article
- Language
- en
- Open access
- gold
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- Conceição-Neto, N., Zeller, M., Lefrère, H., De Bruyn, P., Beller, L., Deboutte, W., Yinda, C. K., Lavigne, R., Maes, P., Ranst, M. V., Heylen, E., & Matthijnssens, J. (2015). Modular approach to customise sample preparation procedures for viral metagenomics: a reproducible protocol for virome analysis. Scientific Reports. https://doi.org/10.1038/srep16532
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.