Literature DB >> 32949792

Distinguishing mitochondrial DNA and NUMT sequences amplified with the precision ID mtDNA whole genome panel.

Jennifer Churchill Cihlar1, Christina Strobl2, Robert Lagacé3, Melissa Muenzler4, Walther Parson5, Bruce Budowle6.   

Abstract

Nuclear mitochondrial DNA segments (NUMTs) are generated via transfer of portions of the mitochondrial genome into the nuclear genome. Given their common origin, there is the possibility that both the mitochondrial and NUMT segments may co-amplify using the same set of primers. Thus, analysis of the variation of the mitochondrial genome must take into account this co-amplification of mitochondrial and NUMT sequences. The study herein builds on data from the study by Strobl et al. (Strobl et al., 2019), in which multiple point heteroplasmies were called with an "N" to prevent labeling NUMT sequences mimicking mitochondrial heteroplasmy and being interpreted as true mitochondrial in origin sequence variants. Each of these point heteroplasmies was studied in greater detail, both molecularly and bioinformatically, to determine whether NUMT or true mitochondrial DNA variation was present. The bioinformatic and molecular tools available to help distinguish between NUMT and mitochondrial DNA and the effect of NUMT sequences on interpretation were discussed.
Copyright © 2020 Elsevier B.V. and Mitochondria Research Society. All rights reserved.

Keywords:  Ion torrent; Massively parallel sequencing; Mitochondrial DNA; NUMT

Mesh:

Substances:

Year:  2020        PMID: 32949792     DOI: 10.1016/j.mito.2020.09.001

Source DB:  PubMed          Journal:  Mitochondrion        ISSN: 1567-7249            Impact factor:   4.160


  7 in total

1.  Human Mitochondrial Control Region and mtGenome: Design and Forensic Validation of NGS Multiplexes, Sequencing and Analytical Software.

Authors:  Cydne L Holt; Kathryn M Stephens; Paulina Walichiewicz; Keenan D Fleming; Elmira Forouzmand; Shan-Fu Wu
Journal:  Genes (Basel)       Date:  2021-04-19       Impact factor: 4.096

2.  Graph Algorithms for Mixture Interpretation.

Authors:  Benjamin Crysup; August E Woerner; Jonathan L King; Bruce Budowle
Journal:  Genes (Basel)       Date:  2021-01-27       Impact factor: 4.096

3.  From Forensics to Clinical Research: Expanding the Variant Calling Pipeline for the Precision ID mtDNA Whole Genome Panel.

Authors:  Filipe Cortes-Figueiredo; Filipa S Carvalho; Ana Catarina Fonseca; Friedemann Paul; José M Ferro; Sebastian Schönherr; Hansi Weissensteiner; Vanessa A Morais
Journal:  Int J Mol Sci       Date:  2021-11-06       Impact factor: 5.923

4.  The Value of Whole-Genome Sequencing for Mitochondrial DNA Population Studies: Strategies and Criteria for Extracting High-Quality Mitogenome Haplotypes.

Authors:  Kimberly Sturk-Andreaggi; Joseph D Ring; Adam Ameur; Ulf Gyllensten; Martin Bodner; Walther Parson; Charla Marshall; Marie Allen
Journal:  Int J Mol Sci       Date:  2022-02-17       Impact factor: 5.923

5.  Unparalleled mitochondrial heteroplasmy and Wolbachia co-infection in the non-model bee, Amphylaeus morosus.

Authors:  Olivia K Davies; James B Dorey; Mark I Stevens; Michael G Gardner; Tessa M Bradford; Michael P Schwarz
Journal:  Curr Res Insect Sci       Date:  2022-04-20

Review 6.  mtDNA Heteroplasmy: Origin, Detection, Significance, and Evolutionary Consequences.

Authors:  Maria-Eleni Parakatselaki; Emmanuel D Ladoukakis
Journal:  Life (Basel)       Date:  2021-06-29

7.  Developmental Validation of a MPS Workflow with a PCR-Based Short Amplicon Whole Mitochondrial Genome Panel.

Authors:  Jennifer Churchill Cihlar; Christina Amory; Robert Lagacé; Chantal Roth; Walther Parson; Bruce Budowle
Journal:  Genes (Basel)       Date:  2020-11-13       Impact factor: 4.096

  7 in total

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