PubMed Health⌕ Search
Home/Archive/PubMed

PubMed · 11724431

Detecting errors in mtDNA data by phylogenetic analysis.

H J Bandelt·P Lahermo·M Richards·V Macaulay
View original source ↗Export metadata ↓

Abstract

Sequencing and documenting a sample of homologous DNA stretches is prone to copying errors in a way rather analogous to the biological replication process. Previous attempts at obtaining representative mtDNA sequences, typically of the control region, for evolutionary studies or forensic purposes have yielded rather unsatisfactory results in many cases. The key ingredient in pinpointing problems with given data is the phylogenetic analysis of closely related mtDNAs within the framework of an established worldwide phylogeny that is supported by coding region information. We develop some general rules by which likely errors in data tables can readily be detected without rereading whole sequences repeatedly. Following these guidelines, one can expect to lower the error rate by at least an order of magnitude, although it will still be hard to beat the mitochondrial gamma polymerase in precision.

Explore related subjects

DNA, MitochondrialHumansMutationPhylogenyQuality ControlJournal ArticleResearch Support, Non-U.S. Gov't

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

H J Bandelt, P Lahermo, M Richards, V Macaulay. 2001. Detecting errors in mtDNA data by phylogenetic analysis.. https://doi.org/10.1007/s004140100228

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

PubMed2026

Visual Detection and Stratification of Pathogenic mtDNA SNV Heteroplasmy by Balancing FnCas12a Signal Output and Allelic Discrimination.

Assessment of pathogenic mitochondrial DNA (mtDNA) single-nucleotide variant (SNV) heteroplasmy is important for molecular diagnostics, yet rapid visual profiling remains analytically challenging because an assay must combine single-nucleotide allelic discrimination, mutant-fraction-associated readout, and suitable target access. Herein, we report VISTA (visual identification and stratification of targeted mtDNA alleles), a broad-PAM FnCas12a assay that rebalances trans-cleavage signal output and mutant-wild-type discrimination for visual mtDNA SNV heteroplasmy analysis. VISTA uses unmodified FnCas12a with relaxed TTN PAM recognition and integrates crRNA spacer-length engineering with PEG8000/acBSA reaction tuning to improve the practical signal-discrimination balance without nuclease engineering. At the m.3243A>G model locus, spacer truncation enhanced mutant-wild-type discrimination, while molecular-dynamics simulations identified spacer-dependent differences between matched and mismatched complexes at the crRNA-DNA interface. The optimized assay resolved defined synthetic m.3243A>G heteroplasmy gradients by fluorescence imaging and was further adapted to lateral-flow detection. In locus-specific analyses of a deidentified collection of 74 peripheral-blood samples, fluorescence and lateral-flow readouts achieved ROC AUC values above 0.9 for mutant-allele classification after target-region amplification. Fluorescence supported heteroplasmy-associated profiling, whereas lateral flow provided a visual, semiquantitative readout for relative ranking based on the T/C ratio rather than absolute heteroplasmy measurement. VISTA therefore provides an accessible dual-readout analytical strategy for visual detection and heteroplasmy-associated profiling by tuning the FnCas12a signal output and allelic discrimination.

DNA, Mitochondrial↗
PubMed2024

An easy-to-use pipeline to analyze amplicon-based Next Generation Sequencing results of human mitochondrial DNA from degraded samples.

Genome and transcriptome examinations have become more common due to Next-Generation Sequencing (NGS), which significantly increases throughput and depth coverage while reducing costs and time. Mitochondrial DNA (mtDNA) is often the marker of choice in degraded samples from archaeological and forensic contexts, as its higher number of copies can improve the success of the experiment. Among other sequencing strategies, amplicon-based NGS techniques are currently being used to obtain enough data to be analyzed. There are some pipelines designed for the analysis of ancient mtDNA samples and others for the analysis of amplicon data. However, these pipelines pose a challenge for non-expert users and cannot often address both ancient and forensic DNA particularities and amplicon-based sequencing simultaneously. To overcome these challenges, a user-friendly bioinformatic tool was developed to analyze the non-coding region of human mtDNA from degraded samples recovered in archaeological and forensic contexts. The tool can be easily modified to fit the specifications of other amplicon-based NGS experiments. A comparative analysis between two tools, MarkDuplicates from Picard and dedup parameter from fastp, both designed for duplicate removal was conducted. Additionally, various thresholds of PMDtools, a specialized tool designed for extracting reads affected by post-mortem damage, were used. Finally, the depth coverage of each amplicon was correlated with its level of damage. The results obtained indicated that, for removing duplicates, dedup is a better tool since retains more non-repeated reads, that are removed by MarkDuplicates. On the other hand, a PMDS = 1 in PMDtools was the threshold that allowed better differentiation between present-day and ancient samples, in terms of damage, without losing too many reads in the process. These two bioinformatic tools were added to a pipeline designed to obtain both haplotype and haplogroup of mtDNA. Furthermore, the pipeline presented in the present study generates information about the quality and possible contamination of the sample. This pipeline is designed to automatize mtDNA analysis, however, particularly for ancient samples, some manual analyses may be required to fully validate results since the amplicons that used to be more easily recovered were the ones that had fewer reads with damage, indicating that special care must be taken for poor recovered samples.

DNA, Mitochondrial↗
PubMed2002

Ubiquinone and nicotinamide treatment of patients with the 3243A-->G mtDNA mutation.

The efficacy and safety of ubiquinone (Q10) and nicotinamide were evaluated in a 6-month open-label trial in patients with the 3243A-->G mitochondrial DNA mutation. Blood lactate and pyruvate concentrations decreased, but there was little clinical improvement. Q10 and nicotinamide were well tolerated, but two patients died suddenly and unexpectedly during the trial. These deaths may have been unrelated to treatment. The unpredictable course of the disease makes evaluation of the clinical response difficult.

DNA, Mitochondrial↗