ArticlePloS one2017
Mitogenome sequence accuracy using different elucidation methods.
Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Structures and genetic information of control region in mitogenomes of Odonata.Mitochondrial DNA. Part B, Resources · 2024Article
- Addressing the complex phylogenetic relationship of the Gempylidae fishes using mitogenome data.Ecology and evolution · 2023Article
- CONSULT: accurate contamination removal using locality-sensitive hashing.NAR genomics and bioinformatics · 2021Article
- Extensive gene rearrangements in the mitogenomes of congeneric annelid species and insights on the evolutionary history of the genus Ophryotrocha.BMC genomics · 2020Article
- Article
- Complete mitochondrial genomes from transcriptomes: assessing pros and cons of data mining for assembling new mitogenomes.Scientific reports · 2019Article
- MitoZ: a toolkit for animal mitochondrial genome assembly, annotation and visualization.Nucleic acids research · 2019Article
- Relation between mitochondrial DNA hyperdiversity, mutation rate and mitochondrial genome evolution in Melarhaphe neritoides (Gastropoda: Littorinidae) and other Caenogastropoda.Scientific reports · 2018Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Mitogenome sequences are highly desired because they are used in several biological disciplines. Their elucidation has been facilitated through the development of massive parallel sequencing, accelerating their deposition in public databases. However, sequencing, assembly and annotation methods might induce variability in their quality, raising concerns about the accuracy of the sequences that have been deposited in public databases. In this work we show that different sequencing methods (number of species pooled in a library, insert size and platform) and assembly and annotation methods generated variable completeness and similarity of the resulting mitogenome sequences, using three species of predaceous ladybird beetles as models. The identity of the sequences varied considerably depending on the method used and ranged from 38.19 to 90.1% for Cycloneda sanguinea, 72.85 to 91.06% for Harmonia axyridis and 41.15 to 93.60% for Hippodamia convergens. Dissimilarities were frequently found in the non-coding A+T rich region, but were also common in coding regions, and were not associated with low coverage. Mitogenome completeness and sequence identity were affected by the sequencing and assembly/annotation methods, and high within-species variation was also found for other mitogenome depositions in GenBank. This indicates a need for methods to confirm sequence accuracy, and guidelines for verifying mitogenomes should be discussed and developed by the scientific community.
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