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      A Sequel to Sanger: amplicon sequencing that scales

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          Abstract

          Background

          Although high-throughput sequencers (HTS) have largely displaced their Sanger counterparts, the short read lengths and high error rates of most platforms constrain their utility for amplicon sequencing. The present study tests the capacity of single molecule, real-time (SMRT) sequencing implemented on the SEQUEL platform to overcome these limitations, employing 658 bp amplicons of the mitochondrial cytochrome c oxidase I gene as a model system.

          Results

          By examining templates from more than 5000 species and 20,000 specimens, the performance of SMRT sequencing was tested with amplicons showing wide variation in GC composition and varied sequence attributes. SMRT and Sanger sequences were very similar, but SMRT sequencing provided more complete coverage, especially for amplicons with homopolymer tracts. Because it can characterize amplicon pools from 10,000 DNA extracts in a single run, the SEQUEL can reduce greatly reduce sequencing costs in comparison to first (Sanger) and second generation platforms (Illumina, Ion).

          Conclusions

          SMRT analysis generates high-fidelity sequences from amplicons with varying GC content and is resilient to homopolymer tracts. Analytical costs are low, substantially less than those for first or second generation sequencers. When implemented on the SEQUEL platform, SMRT analysis enables massive amplicon characterization because each instrument can recover sequences from more than 5 million DNA extracts a year.

          Electronic supplementary material

          The online version of this article (10.1186/s12864-018-4611-3) contains supplementary material, which is available to authorized users.

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          Most cited references40

          • Record: found
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          Error-correcting barcoded primers for pyrosequencing hundreds of samples in multiplex.

          We constructed error-correcting DNA barcodes that allow one run of a massively parallel pyrosequencer to process up to 1,544 samples simultaneously. Using these barcodes we processed bacterial 16S rRNA gene sequences representing microbial communities in 286 environmental samples, corrected 92% of sample assignment errors, and thus characterized nearly as many 16S rRNA genes as have been sequenced to date by Sanger sequencing.
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            An inexpensive, automation-friendly protocol for recovering high-quality DNA

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              Assembly algorithms for next-generation sequencing data.

              The emergence of next-generation sequencing platforms led to resurgence of research in whole-genome shotgun assembly algorithms and software. DNA sequencing data from the Roche 454, Illumina/Solexa, and ABI SOLiD platforms typically present shorter read lengths, higher coverage, and different error profiles compared with Sanger sequencing data. Since 2005, several assembly software packages have been created or revised specifically for de novo assembly of next-generation sequencing data. This review summarizes and compares the published descriptions of packages named SSAKE, SHARCGS, VCAKE, Newbler, Celera Assembler, Euler, Velvet, ABySS, AllPaths, and SOAPdenovo. More generally, it compares the two standard methods known as the de Bruijn graph approach and the overlap/layout/consensus approach to assembly. Copyright 2010 Elsevier Inc. All rights reserved.
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                Author and article information

                Contributors
                phebert@uoguelph.ca
                tbraukma@uoguelph.ca
                sprosser@uoguelph.ca
                sratnasi@uoguelph.ca
                dewaardj@uoguelph.ca
                nivanova@uoguelph.ca
                djanzen@sas.upenn.edu
                whallwac@sas.upenn.edu
                snaik@uoguelph.ca
                jsones@uoguelph.ca
                Zakharov@uoguelph.ca
                Journal
                BMC Genomics
                BMC Genomics
                BMC Genomics
                BioMed Central (London )
                1471-2164
                27 March 2018
                27 March 2018
                2018
                : 19
                : 219
                Affiliations
                [1 ]ISNI 0000 0004 1936 8198, GRID grid.34429.38, Centre for Biodiversity Genomics, , University of Guelph, ; Guelph, ON N1G 2W1 Canada
                [2 ]ISNI 0000 0004 1936 8972, GRID grid.25879.31, Department of Biology, , University of Pennsylvania, ; Philadelphia, PA 19104-6018 USA
                Article
                4611
                10.1186/s12864-018-4611-3
                5870082
                29580219
                3fbf900d-f476-4de6-8590-660d61f634a2
                © The Author(s). 2018

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 12 October 2017
                : 20 March 2018
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100003400, Ministry of Research and Innovation;
                Funded by: Canada First Research Excellence Fund
                Categories
                Methodology Article
                Custom metadata
                © The Author(s) 2018

                Genetics
                smrt sequencing,mitochondrial dna,nuclear dna,phylogenetics,dna barcoding,pcr,nucleotide composition,homopolymer

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