Literature DB >> 29031081

Optimization of the Promega PowerSeq™ Auto/Y system for efficient integration within a forensic DNA laboratory.

E A Montano1, J M Bush1, A M Garver2, M M Larijani2, S M Wiechman2, C H Baker3, M R Wilson1, R A Guerrieri1, E A Benzinger2, D N Gehres2, M L Dickens1.   

Abstract

The application of massively parallel sequencing (MPS) is growing in the forensic DNA field, as forensic DNA laboratories are continuously seeking methods to gain information from a limited or degraded forensic sample. However, the laborious nature of current MPS methodologies required for successful library preparation and sequencing leave opportunities for improvement to make MPS a practical option for processing forensic casework. In this study, the Promega PowerSeq™ Auto/Y System Prototype, a MPS laboratory workflow that incorporates multiplex amplification, was selected for optimization with the objectives to introduce automation for relieving manual processing, and to reduce the number of steps recommended by the standard protocol. Successful changes in the optimized workflow included a switch from column-based PCR purification to automatable bead-based purification, adoption of the library preparation procedures by a liquid handling robot platform, and removal of various time-consuming quality checks. All data in this study were found to be concordant with capillary electrophoresis (CE) data and previously-generated MPS results from this workflow. Read abundance and allele balance, metrics related to sample interpretation reliability, were not significantly different when compared to samples processed with the manufacturer's protocol. All the modifications implemented resulted in increased laboratory efficiency, reduced the protocol steps associated with risk of contamination and human error events, and decreased manual processing time by approximately 12h. These findings provide forensic DNA laboratories a more streamlined option when considering implementation of a MPS workflow.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Automation; Massively parallel DNA sequencing (MPS); Optimization; Validation

Mesh:

Substances:

Year:  2017        PMID: 29031081     DOI: 10.1016/j.fsigen.2017.10.002

Source DB:  PubMed          Journal:  Forensic Sci Int Genet        ISSN: 1872-4973            Impact factor:   4.882


  6 in total

1.  An evaluation of the SureID 23comp Human Identification Kit for kinship testing.

Authors:  Hussain M Alsafiah; Ali A Aljanabi; Sibte Hadi; Saleh S Alturayeif; William Goodwin
Journal:  Sci Rep       Date:  2019-11-14       Impact factor: 4.379

Review 2.  Massive parallel sequencing in forensics: advantages, issues, technicalities, and prospects.

Authors:  David Ballard; Jakub Winkler-Galicki; Joanna Wesoły
Journal:  Int J Legal Med       Date:  2020-05-25       Impact factor: 2.686

Review 3.  An Introductory Overview of Open-Source and Commercial Software Options for the Analysis of Forensic Sequencing Data.

Authors:  Tunde I Huszar; Katherine B Gettings; Peter M Vallone
Journal:  Genes (Basel)       Date:  2021-10-29       Impact factor: 4.096

4.  CSYseq: The first Y-chromosome sequencing tool typing a large number of Y-SNPs and Y-STRs to unravel worldwide human population genetics.

Authors:  Sofie Claerhout; Paulien Verstraete; Liesbeth Warnez; Simon Vanpaemel; Maarten Larmuseau; Ronny Decorte
Journal:  PLoS Genet       Date:  2021-09-07       Impact factor: 5.917

5.  Sequence investigation of 34 forensic autosomal STRs with massively parallel sequencing.

Authors:  Suhua Zhang; Yong Niu; Yingnan Bian; Rixia Dong; Xiling Liu; Yun Bao; Chao Jin; Hancheng Zheng; Chengtao Li
Journal:  Sci Rep       Date:  2018-05-01       Impact factor: 4.379

Review 6.  Massively parallel sequencing techniques for forensics: A review.

Authors:  Brigitte Bruijns; Roald Tiggelaar; Han Gardeniers
Journal:  Electrophoresis       Date:  2018-08-22       Impact factor: 3.535

  6 in total

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