Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2002 Nov;71(5):1150-60.
doi: 10.1086/344397. Epub 2002 Oct 15.

The fingerprint of phantom mutations in mitochondrial DNA data

Affiliations

The fingerprint of phantom mutations in mitochondrial DNA data

Hans-Jürgen Bandelt et al. Am J Hum Genet. 2002 Nov.

Abstract

Phantom mutations are systematic artifacts generated in the course of the sequencing process itself. In sequenced mitochondrial DNA (mtDNA), they generate a hotspot pattern quite different from that of natural mutations in the cell. To identify the telltale patterns of a particular phantom mutation process, one first filters out the well-established frequent mutations (inferred from various data sets with additional coding region information). The filtered data are represented by their full (quasi-)median network, to visualize the character conflicts, which can be expressed numerically by the cube spectrum. Permutation tests are used to evaluate the overall phylogenetic content of the filtered data. Comparison with benchmark data sets helps to sort out suspicious data and to infer features and potential causes for the phantom mutation process. This approach, performed either in the lab or at the desk of a reviewer, will help to avoid errors that otherwise would go into print and could lead to erroneous evolutionary interpretations. The filtering procedure is illustrated with two mtDNA data sets that were severely affected by phantom mutations.

PubMed Disclaimer

Figures

Figure  1
Figure 1
The full quasi-median networks representing the weighty variation within 16051–16365 (i.e., not scoring the speedy transitions listed in the “Weighty HVS-I Filter” subsection of the “Methods” section) for the following three subsets of the Brazilian mtDNA data (Alves-Silva et al. 2000): American (a), African (b), and European (c). Every unit-length link signifies one weighty transition, except where “t” indicates a transversion. The size of the nodes is proportional to the number of sampled mtDNAs of this haplotype; n is the sample size and h the number of sampled haplotypes (relative to the weighty mutations).
Figure  2
Figure 2
The full median networks representing the weighty variation in the Japanese mtDNA data (Seo et al. 1998) for the mtDNAs with 16189C (yielding a long C run) (a) and 16189T (b). Symbols are as in figure 1.
Figure  3
Figure 3
The full median network representing the weighty variation in the Ladin mtDNA data (Stenico et al. 1996). Symbols are as in figure 1.
Figure  4
Figure 4
Portion of the chromatogram of a mtDNA sequence exhibiting the A→T 16220 artifact.

References

Electronic-Database Information

    1. Authors' Web site, http://www.stats.ox.ac.uk/~macaulay/fingerprint/index.html (table of mutational hits in HVS-I and program to calculate spectra)
    1. Brešar B, S. Klavžar S, Škrekovski R. Cubes polynomial and its derivatives. Available from http://citeseer.nj.nec.com/442937.html
    1. Shareware Phylogenetic Network Software, http://www.fluxus-engineering.com/sharenet.htm (for Network 2.1 and 3.1)

References

    1. Alves-Silva J, Santos MDS, Guimarães PEM, Ferreira ACS, Bandelt H-J, Pena SDJ, Prado VF (2000) The ancestry of Brazilian mtDNA lineages. Am J Hum Genet 67:444–461 (erratum 67:775) - PMC - PubMed
    1. Avise JC (2000) Phylogeography: the history and formation of species. Harvard University Press, Cambridge, MA
    1. Bandelt H-J, Forster P, Röhl A (1999) Median-joining networks for inferring intraspecific phylogenies. Mol Biol Evol 16:37–48 - PubMed
    1. Bandelt H-J, Forster P, Sykes BC, Richards MB (1995) Mitochondrial portraits of human populations using median networks. Genetics 141:743–753 - PMC - PubMed
    1. Bandelt H-J, Lahermo P, Richards M, Macaulay V (2001) Detecting errors in mtDNA data by phylogenetic analysis. Int J Legal Med 115:64–69 - PubMed

Publication types

Substances