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| Content Provider | PubMed Central |
|---|---|
| Author | Amir, Amnon Zeisel, Amit Zuk, Or Elgart, Michael Stern, Shay Shamir, Ohad Turnbaugh, Peter J. Soen, Yoav Noam, Shental |
| Copyright Year | 2013 |
| Abstract | The emergence of massively parallel sequencing technology has revolutionized microbial profiling, allowing the unprecedented comparison of microbial diversity across time and space in a wide range of host-associated and environmental ecosystems. Although the high-throughput nature of such methods enables the detection of low-frequency bacteria, these advances come at the cost of sequencing read length, limiting the phylogenetic resolution possible by current methods. Here, we present a generic approach for integrating short reads from large genomic regions, thus enabling phylogenetic resolution far exceeding current methods. The approach is based on a mapping to a statistical model that is later solved as a constrained optimization problem. We demonstrate the utility of this method by analyzing human saliva and Drosophila samples, using Illumina single-end sequencing of a 750 bp amplicon of the 16S rRNA gene. Phylogenetic resolution is significantly extended while reducing the number of falsely detected bacteria, as compared with standard single-region Roche 454 Pyrosequencing. Our approach can be seamlessly applied to simultaneous sequencing of multiple genes providing a higher resolution view of the composition and activity of complex microbial communities. |
| Related Links | http://dx.doi.org/10.1093/nar/gkt1070 |
| Starting Page | 205 |
| File Format | |
| ISSN | 03051048 |
| e-ISSN | 13624962 |
| Journal | Nucleic Acids Research |
| Issue Number | 22 |
| Volume Number | 41 |
| Language | English |
| Publisher | Oxford University Press |
| Publisher Date | 2013-12-01 |
| Access Restriction | Open |
| Rights Holder | Oxford University Press |
| Subject Keyword | Genetics Research in Higher Education |
| Content Type | Text |
| Resource Type | Article |
| Subject | Genetics |
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