Literature DB >> 21047564

Preventing the pollution of mitochondrial datasets with nuclear mitochondrial paralogs (numts).

Sébastien Calvignac1, Lara Konecny, Florian Malard, Christophe J Douady.   

Abstract

Molecular tools have become prominent in ecology and evolution. A target of choice for molecular ecologists and evolutionists is mitochondrial DNA (mtDNA), whose many advantages have also convinced broad-scale, pragmatic programmes such as barcode initiatives. Of course, mtDNA is also of interest to human geneticists investigating mitochondrial diseases. Studies using mtDNA are however put at great risk by the inadvertent co-amplification or preferred amplification of nuclear pseudogenes (numts). A posteriori analysis of putative mtDNA sequences can help in removing numts but faces severe limitations (e.g. recently translocated numts will most of the time go unnoticed). Counter-measures taken a priori, i.e. explicitly designed for avoiding numt co-amplification or preferred amplification, are appealing but have never been properly assessed. Here we investigate the efficiency of four such measures (mtDNA enrichment, cDNA amplification, long-range amplification and pre-PCR dilution) on a common set of numt cases, showing that mtDNA enrichment is the worst performer while the use of pre-PCR dilution is a simple, yet robust method to prevent the pollution of putative mtDNA datasets with numts. Therefore, straightforward recommendations can be made that, if followed, will considerably increase the confidence in the mitochondrial origin of any mtDNA-like sequence.
Copyright © 2010 Elsevier B.V. and Mitochondria Research Society. All rights reserved.

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Year:  2010        PMID: 21047564     DOI: 10.1016/j.mito.2010.10.004

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


  26 in total

1.  In silico discovery of a nearly complete mitochondrial genome Numt in the dog (Canis lupus familiaris) nuclear genome.

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Journal:  Genetica       Date:  2015-05-20       Impact factor: 1.082

Review 2.  Molecular approaches to trematode systematics: 'best practice' and implications for future study.

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Review 3.  Mitochondrial DNA in innate immune responses and inflammatory pathology.

Authors:  A Phillip West; Gerald S Shadel
Journal:  Nat Rev Immunol       Date:  2017-04-10       Impact factor: 53.106

4.  NUMTs Can Imitate Biparental Transmission of mtDNA-A Case in Drosophila melanogaster.

Authors:  Maria-Eleni Parakatselaki; Chen-Tseh Zhu; David Rand; Emmanuel D Ladoukakis
Journal:  Genes (Basel)       Date:  2022-06-06       Impact factor: 4.141

5.  Identification of species-specific nuclear insertions of mitochondrial DNA (numts) in gorillas and their potential as population genetic markers.

Authors:  Iván Darío Soto-Calderón; Nicholas Jonathan Clark; Julia Vera Halo Wildschutte; Kelly DiMattio; Michael Ignatius Jensen-Seaman; Nicola Mary Anthony
Journal:  Mol Phylogenet Evol       Date:  2014-09-04       Impact factor: 4.286

6.  Primates and mouse NumtS in the UCSC Genome Browser.

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Journal:  BMC Bioinformatics       Date:  2012-03-28       Impact factor: 3.169

7.  Testing the performance of a fragment of the COI gene to identify western Palaearctic stag beetle species (Coleoptera, Lucanidae).

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Journal:  Zookeys       Date:  2013-12-30       Impact factor: 1.546

Review 8.  Extreme heterogeneity of human mitochondrial DNA from organelles to populations.

Authors:  James B Stewart; Patrick F Chinnery
Journal:  Nat Rev Genet       Date:  2020-09-28       Impact factor: 53.242

9.  Inferring kangaroo phylogeny from incongruent nuclear and mitochondrial genes.

Authors:  Matthew J Phillips; Dalal Haouchar; Renae C Pratt; Gillian C Gibb; Michael Bunce
Journal:  PLoS One       Date:  2013-02-22       Impact factor: 3.240

10.  Microsatellite development and first population size estimates for the groundwater isopod Proasellus walteri.

Authors:  Cécile Capderrey; Bernard Kaufmann; Pauline Jean; Florian Malard; Lara Konecny-Dupré; Tristan Lefébure; Christophe J Douady
Journal:  PLoS One       Date:  2013-09-27       Impact factor: 3.240

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