“High resolution microbial community reconstruction by integrating short reads from multiple 16S rRNA regions”
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.
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 750bp amplicon of the 16S rRNA gene. Phylogenetic resolution is significantly extended while reducing the number of falsely detected bacteria, as compared to 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.
Joint work with Amnon Amir, Amit Zeisel, Michael Elgart, Shay Stern, Ohad Shamir and Yoav Soen, from Weizmann Institute of Science, Or Zuk from the Hebrew University and Peter J. Turnbaugh, Harvard University.
מארחת: פרופ”מ מיטל לנדאו
Dr. Noam Shental, Department of Mathematics and Computer Science, The Open University of Israel.
