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Related Concept Videos

Evolutionary Relationships through Genome Comparisons02:54

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Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...
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Related Experiment Video

Updated: Feb 27, 2026

Optimization and Comparative Analysis of Plant Organellar DNA Enrichment Methods Suitable for Next-generation Sequencing
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Optimization and Comparative Analysis of Plant Organellar DNA Enrichment Methods Suitable for Next-generation Sequencing

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Mitogenome sequence accuracy using different elucidation methods.

Renata Velozo Timbó1,2, Roberto Coiti Togawa1, Marcos M C Costa1

  • 1Embrapa Genetic Resources and Biotechnology, Parque Estação Biológica, W5 Norte, Brasília, DF, Brazil.

Plos One
|June 30, 2017
PubMed
Summary
This summary is machine-generated.

Different sequencing and assembly methods create variable mitogenome quality. This study highlights the need for accuracy checks and community guidelines for mitochondrial genome data.

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Area of Science:

  • Genomics
  • Bioinformatics
  • Molecular Biology

Background:

  • Mitogenome sequences are crucial for various biological studies.
  • Massive parallel sequencing has increased public database deposition of mitogenomes.
  • Concerns exist regarding the accuracy of deposited mitogenome sequences due to methodological variability.

Purpose of the Study:

  • To assess the impact of different sequencing, assembly, and annotation methods on mitogenome quality.
  • To evaluate sequence variability within and between species based on chosen methodologies.
  • To identify potential sources of error in mitogenome data generation and deposition.

Main Methods:

  • Utilized three species of predaceous ladybird beetles as model organisms.
  • Applied diverse sequencing strategies, including varying library pooling, insert sizes, and platforms.
  • Employed different assembly and annotation pipelines to process sequencing data.

Main Results:

  • Significant variability in mitogenome completeness and sequence identity was observed across different methods.
  • Sequence identity ranged widely, e.g., 38.19% to 90.1% for *Cycloneda sanguinea*.
  • Dissimilarities occurred in both coding and non-coding regions, not solely linked to low coverage.

Conclusions:

  • Sequencing and assembly/annotation methods substantially affect mitogenome completeness and accuracy.
  • High within-species variation in mitogenome data necessitates robust quality control.
  • The scientific community needs to develop standardized methods for verifying mitogenome accuracy.