Literature DB >> 25051226

Development and assessment of an optimized next-generation DNA sequencing approach for the mtgenome using the Illumina MiSeq.

Jennifer A McElhoe1, Mitchell M Holland2, Kateryna D Makova3, Marcia Shu-Wei Su3, Ian M Paul4, Christine H Baker5, Seth A Faith5, Brian Young5.   

Abstract

The development of molecular tools to detect and report mitochondrial DNA (mtDNA) heteroplasmy will increase the discrimination potential of the testing method when applied to forensic cases. The inherent limitations of the current state-of-the-art, Sanger-based sequencing, including constrictions in speed, throughput, and resolution, have hindered progress in this area. With the advent of next-generation sequencing (NGS) approaches, it is now possible to clearly identify heteroplasmic variants, and at a much lower level than previously possible. However, in order to bring these approaches into forensic laboratories and subsequently as accepted scientific information in a court of law, validated methods will be required to produce and analyze NGS data. We report here on the development of an optimized approach to NGS analysis for the mtDNA genome (mtgenome) using the Illumina MiSeq instrument. This optimized protocol allows for the production of more than 5 gigabases of mtDNA sequence per run, sufficient for detection and reliable reporting of minor heteroplasmic variants down to approximately 0.5-1.0% when multiplexing twelve samples. Depending on sample throughput needs, sequence coverage rates can be set at various levels, but were optimized here for at least 5000 reads. In addition, analysis parameters are provided for a commercially available software package that identify the highest quality sequencing reads and effectively filter out sequencing-based noise. With this method it will be possible to measure the rates of low-level heteroplasmy across the mtgenome, evaluate the transmission of heteroplasmy between the generations of maternal lineages, and assess the drift of variant sequences between different tissue types within an individual.
Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Heteroplasmy; MiSeq; Next-generation sequencing; NextGENe; Nextera; mtDNA

Mesh:

Substances:

Year:  2014        PMID: 25051226      PMCID: PMC4580234          DOI: 10.1016/j.fsigen.2014.05.007

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


  44 in total

Review 1.  Forensic Mitochondrial DNA Analysis: Current Practice and Future Potential.

Authors:  T Melton; C Holland; M Holland
Journal:  Forensic Sci Rev       Date:  2012-07

2.  Mitochondrial DNA sequence heteroplasmy in the Grand Duke of Russia Georgij Romanov establishes the authenticity of the remains of Tsar Nicholas II.

Authors:  P L Ivanov; M J Wadhams; R K Roby; M M Holland; V W Weedn; T J Parsons
Journal:  Nat Genet       Date:  1996-04       Impact factor: 38.330

3.  Transition to next generation analysis of the whole mitochondrial genome: a summary of molecular defects.

Authors:  Sha Tang; Jing Wang; Victor Wei Zhang; Fang-Yuan Li; Megan Landsverk; Hong Cui; Cavatina K Truong; Guoli Wang; Li Chieh Chen; Brett Graham; Fernando Scaglia; Eric S Schmitt; William J Craigen; Lee-Jun C Wong
Journal:  Hum Mutat       Date:  2013-04-02       Impact factor: 4.878

4.  Substitution rate variation among sites in hypervariable region 1 of human mitochondrial DNA.

Authors:  J Wakeley
Journal:  J Mol Evol       Date:  1993-12       Impact factor: 2.395

5.  Sequence and organization of the human mitochondrial genome.

Authors:  S Anderson; A T Bankier; B G Barrell; M H de Bruijn; A R Coulson; J Drouin; I C Eperon; D P Nierlich; B A Roe; F Sanger; P H Schreier; A J Smith; R Staden; I G Young
Journal:  Nature       Date:  1981-04-09       Impact factor: 49.962

6.  The use of mitochondrial DNA single nucleotide polymorphisms to assist in the resolution of three challenging forensic cases.

Authors:  Rebecca S Just; Mark D Leney; Suzanne M Barritt; Christopher W Los; Brion C Smith; Thomas D Holland; Thomas J Parsons
Journal:  J Forensic Sci       Date:  2009-05-26       Impact factor: 1.832

7.  Heteroplasmic mitochondrial DNA mutations in normal and tumour cells.

Authors:  Yiping He; Jian Wu; Devin C Dressman; Christine Iacobuzio-Donahue; Sanford D Markowitz; Victor E Velculescu; Luis A Diaz; Kenneth W Kinzler; Bert Vogelstein; Nickolas Papadopoulos
Journal:  Nature       Date:  2010-03-03       Impact factor: 49.962

8.  Universal heteroplasmy of human mitochondrial DNA.

Authors:  Brendan A I Payne; Ian J Wilson; Patrick Yu-Wai-Man; Jonathan Coxhead; David Deehan; Rita Horvath; Robert W Taylor; David C Samuels; Mauro Santibanez-Koref; Patrick F Chinnery
Journal:  Hum Mol Genet       Date:  2012-10-16       Impact factor: 6.150

9.  Evaluation of next generation sequencing platforms for population targeted sequencing studies.

Authors:  Olivier Harismendy; Pauline C Ng; Robert L Strausberg; Xiaoyun Wang; Timothy B Stockwell; Karen Y Beeson; Nicholas J Schork; Sarah S Murray; Eric J Topol; Samuel Levy; Kelly A Frazer
Journal:  Genome Biol       Date:  2009-03-27       Impact factor: 13.583

10.  Substantial biases in ultra-short read data sets from high-throughput DNA sequencing.

Authors:  Juliane C Dohm; Claudio Lottaz; Tatiana Borodina; Heinz Himmelbauer
Journal:  Nucleic Acids Res       Date:  2008-07-26       Impact factor: 16.971

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  23 in total

1.  Whole mitochondrial genome genetic diversity in an Estonian population sample.

Authors:  Monika Stoljarova; Jonathan L King; Maiko Takahashi; Anu Aaspõllu; Bruce Budowle
Journal:  Int J Legal Med       Date:  2015-08-20       Impact factor: 2.686

2.  MPS analysis of the mtDNA hypervariable regions on the MiSeq with improved enrichment.

Authors:  Mitchell M Holland; Laura A Wilson; Sarah Copeland; Gloria Dimick; Charity A Holland; Robert Bever; Jennifer A McElhoe
Journal:  Int J Legal Med       Date:  2017-01-11       Impact factor: 2.686

3.  Haplotype diversity in mitochondrial genome in a Chinese Han population.

Authors:  Ke Ma; Hui Li; Yu Cao; Xuejun Zhao; Wenbin Liu; Xueying Zhao
Journal:  J Hum Genet       Date:  2016-06-16       Impact factor: 3.172

4.  Assessment of mitochondrial DNA heteroplasmy detected on commercial panel using MPS system with artificial mixture samples.

Authors:  Sohee Cho; Moon Young Kim; Ji Hyun Lee; Soong Deok Lee
Journal:  Int J Legal Med       Date:  2017-12-26       Impact factor: 2.686

5.  Estimation of the number of contributors to mixed samples of DNA by mitochondrial DNA analyses using massively parallel sequencing.

Authors:  Hiroaki Nakanishi; Koji Fujii; Hiroaki Nakahara; Natsuko Mizuno; Kazumasa Sekiguchi; Katsumi Yoneyama; Masaaki Hara; Aya Takada; Kazuyuki Saito
Journal:  Int J Legal Med       Date:  2019-11-12       Impact factor: 2.686

6.  Replication Errors Made During Oogenesis Lead to Detectable De Novo mtDNA Mutations in Zebrafish Oocytes with a Low mtDNA Copy Number.

Authors:  Auke B C Otten; Alphons P M Stassen; Michiel Adriaens; Mike Gerards; Richard G J Dohmen; Adriana J Timmer; Sabina J V Vanherle; Rick Kamps; Iris B W Boesten; Jo M Vanoevelen; Marc Muller; Hubert J M Smeets
Journal:  Genetics       Date:  2016-10-21       Impact factor: 4.562

7.  Human whole mitochondrial genome sequencing and analysis: optimization of the experimental workflow.

Authors:  Viktorija Sukser; Marina Korolija; Ivana Račić; Sara Rožić; Lucija Barbarić
Journal:  Croat Med J       Date:  2022-06-22       Impact factor: 2.415

8.  Mitochondrial genome sequencing with short overlapping amplicons on MiSeq FGx system.

Authors:  Yang Xin; Rulin Jia; Suhua Zhang; Fei Guo
Journal:  Forensic Sci Res       Date:  2021-12-23

9.  Maternal age effect and severe germ-line bottleneck in the inheritance of human mitochondrial DNA.

Authors:  Boris Rebolledo-Jaramillo; Marcia Shu-Wei Su; Nicholas Stoler; Jennifer A McElhoe; Benjamin Dickins; Daniel Blankenberg; Thorfinn S Korneliussen; Francesca Chiaromonte; Rasmus Nielsen; Mitchell M Holland; Ian M Paul; Anton Nekrutenko; Kateryna D Makova
Journal:  Proc Natl Acad Sci U S A       Date:  2014-10-13       Impact factor: 11.205

10.  Analysis of mixtures using next generation sequencing of mitochondrial DNA hypervariable regions.

Authors:  Hanna Kim; Henry A Erlich; Cassandra D Calloway
Journal:  Croat Med J       Date:  2015-06       Impact factor: 1.351

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