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Cited by 1,038

The DOI matches its Crossref record; 37 of the 37 references it cites were found in a registry or an index.

Comparative Analysis of Human Gut Microbiota by Barcoded Pyrosequencing

Open access
Andersson, Anders F., Lindberg, Mathilda, Jakobsson, Hedvig, Bäckhed, Fredrik, Nyrén, Pål, Engstrand, Lars·2008·PLoS ONE

Abstract

Humans host complex microbial communities believed to contribute to health maintenance and, when in imbalance, to the development of diseases. Determining the microbial composition in patients and healthy controls may thus provide novel therapeutic targets. For this purpose, high-throughput, cost-effective methods for microbiota characterization are needed. We have employed 454-pyrosequencing of a hyper-variable region of the 16S rRNA gene in combination with sample-specific barcode sequences which enables parallel in-depth analysis of hundreds of samples with limited sample processing. In silico modeling demonstrated that the method correctly describes microbial communities down to phylotypes below the genus level. Here we applied the technique to analyze microbial communities in throat, stomach and fecal samples. Our results demonstrate the applicability of barcoded pyrosequencing as a high-throughput method for comparative microbial ecology.

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Metadata

Authors
Andersson, A. F., Lindberg, M., Jakobsson, H., Bäckhed, F., Nyrén, P., & Engstrand, L.
Venue
PLoS ONE
Published
2008-07-30
Volume
3
Issue
7
Pages
e2836
ISSN
1932-6203 (ISSN-L)
OpenAlex
W2066452478
Cited by
1,038
References
37
FWCI
25.19
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Comparative Analysis of Human Gut Microbiota by Barcoded Pyrosequencing. https://app.cochat.ai/papers/10.1371/journal.pone.0002836
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Andersson, A. F., Lindberg, M., Jakobsson, H., Bäckhed, F., Nyrén, P., & Engstrand, L. (2008). Comparative Analysis of Human Gut Microbiota by Barcoded Pyrosequencing. PLoS ONE. https://doi.org/10.1371/journal.pone.0002836

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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.