| Literature DB >> 27602269 |
Hiroshi Shinozuka1, John W Forster2.
Abstract
Background. Multiplexed sequencing is commonly performed on massively parallel short-read sequencing platforms such as Illumina, and the efficiency of library normalisation can affect the quality of the output dataset. Although several library normalisation approaches have been established, none are ideal for highly multiplexed sequencing due to issues of cost and/or processing time. Methods. An inexpensive and high-throughput library quantification method has been developed, based on an adaptation of the melting curve assay. Sequencing libraries were subjected to the assay using the Bio-Rad Laboratories CFX Connect(TM) Real-Time PCR Detection System. The library quantity was calculated through summation of reduction of relative fluorescence units between 86 and 95 °C. Results.PCR-enriched sequencing libraries are suitable for this quantification without pre-purification of DNA. Short DNA molecules, which ideally should be eliminated from the library for subsequent processing, were differentiated from the target DNA in a mixture on the basis of differences in melting temperature. Quantification results for long sequences targeted using the melting curve assay were correlated with those from existing methods (R (2) > 0.77), and that observed from MiSeq sequencing (R (2) = 0.82). Discussion.The results of multiplexed sequencing suggested that the normalisation performance of the described method is equivalent to that of another recently reported high-throughput bead-based method, BeNUS. However, costs for the melting curve assay are considerably lower and processing times shorter than those of other existing methods, suggesting greater suitability for highly multiplexed sequencing applications.Entities:
Keywords: Amplicon sequencing; Library normalisation; Library preparation; Multiplexed sequencing; NGS; Second-generation sequencing technology
Year: 2016 PMID: 27602269 PMCID: PMC4991867 DOI: 10.7717/peerj.2281
Source DB: PubMed Journal: PeerJ ISSN: 2167-8359 Impact factor: 2.984
Cost and processing duration assumptions for 92–96 samples using the library normalisation or quantification methods.
SPRI denotes the SPRI bead-based DNA size-selection and purification before the quantification procedure. Size-specificity indicates that the method is able to exclude both unnecessary long (e.g., >1 kb) and short (e.g., <300 bp) DNA (++), or merely short DNA (+) from quantification. Library-specificity indicates that the method detects only dsDNA with the sequencing adaptors on both ends (+), or also dsDNA without the sequencing adaptor(s), from which clonal sequence clusters cannot be generated (−). Expenditure on instruments is not included in the per-sample cost. More details can be found in Table S1.
| Method | Method type | Size specificity | Library specificity | Per-sample cost (US$) | Processing time for 92–96 samples | Reference |
|---|---|---|---|---|---|---|
| SequalPrep | Normalisation | ++ | − | 0.91 | 1 h 30 min | |
| BeNUS | Normalisation | ++ | − | 1.04 | 1 h 30 min | |
| qMiSeq | Quantification | ++ | + | ∼10 | c. 1 day | |
| TapeStation | Quantification | ++ | − | 2.75 | 2 h 15 min | |
| SPRI + real-time PCR | Quantification | + | + | 1.41 | 4 h 50 min | |
| SPRI + NanoDrop | Quantification | + | − | 0.48 | 1 h 50 min | |
| MC assay | Quantification | + | − | 0.15 | 40 min |
Notes.
DNA fragments between 100 bp and 20 kb are purified with the SequalPrep kit (Thermo Fisher Scientific).
Figure 1Correlation analysis between the three library quantification methods: (A) MC assay- and TapeStation-based methods; (B) MC assay- and NanoDrop-based methods; and (C) TapeStation- and NanoDrop-based methods.
Figure 2Results of the MC assay (A) and high-throughput sequencing (B) from the 66 successful libraries.
The horizontal axis shows the sample unique identifier. In the result from high-throughput sequencing, the blue circle indicates PRN from the MiSeq-derived output, and the red square shows the simulated PRN for un-normalised multiplexed sequencing.
Figure 3Correlation between the MC assay-based quantification and PRN of MiSeq sequencing from the 75 samples (A), and between the MC assay-based method and predicted PRN from the library normalisation simulation from the 73 successful samples (B).