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Systematic Error: Methodological and Sampling Errors01:15

Systematic Error: Methodological and Sampling Errors

In the case of systematic errors, the sources can be identified, and the errors can be subsequently minimized by addressing these sources. According to the source, systematic errors can be divided into sampling, instrumental, methodological, and personal errors.
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Contaminants and Errors01:16

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Effective sample preparation is crucial for accurate and reliable laboratory analysis. During this process, two significant sources of error can arise: concentration bias from improper sample splitting and contamination caused by methods used to reduce particle size, such as grinding or homogenization. Identifying and minimizing these potential errors is crucial to ensuring the validity of the analysis.
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Advancements in molecular biology have revolutionized the identification and characterization of bacteria, with multiple methods leveraging DNA sequencing for enhanced precision. As sequencing technologies improve and costs decline, these approaches are increasingly used in clinical, environmental, and evolutionary studies.Multilocus Sequence Typing (MLST) examines several housekeeping genes, essential chromosomal genes encoding cellular functions, to distinguish strains. Approximately...
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Cell separation was first achieved in 1964 by S. H. Seal, who separated large tumor cells from the smaller blood cells using filtration. Two years later, Pohl and Hawk performed experiments on how cells respond differently to a nonuniform electric field based on the cell type. Such observations were the inception of cell separation methods, which allow isolating a single cell type from a heterogeneous sample.
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Related Experiment Video

Updated: Jun 28, 2026

Genome-wide Surveillance of Transcription Errors in Eukaryotic Organisms
09:30

Genome-wide Surveillance of Transcription Errors in Eukaryotic Organisms

Published on: September 13, 2018

Contamination, error, and nonspecific molecular tools.

A T Dyer, K J Leonard

    Phytopathology
    |October 24, 2008
    PubMed
    Summary

    Low-level bacterial contamination can significantly alter genetic analysis results. Even invisible prokaryote contamination in DNA samples can lead to inaccurate findings in Random Amplified Polymorphic DNA (RAPD) and Amplified Fragment Length Polymorphism (AFLP) studies.

    Area of Science:

    • Molecular Biology
    • Genetics
    • Microbiology

    Background:

    • Random amplified polymorphic DNA (RAPD) and amplified fragment length polymorphism (AFLP) are common molecular markers for genetic variation.
    • The impact of low-level bacterial contamination on DNA extraction for RAPD and AFLP analyses is not well understood.

    Purpose of the Study:

    • To investigate the effects of subtle prokaryote contamination on RAPD and AFLP analyses.
    • To assess the reliability of RAPD and AFLP in detecting contamination when comparing closely related species.

    Main Methods:

    • DNA extraction from Aphanomyces cochlioides cultures.
    • Analysis of genetic variation using RAPD and AFLP techniques.
    • Comparison of contaminated and uncontaminated DNA samples, including outgroup comparison with Aphanomyces euteiches.

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    Genome-wide Surveillance of Transcription Errors in Eukaryotic Organisms
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    Cell Culture Techniques and Practices to Avoid Contamination by Fungi and Bacteria in the Research Cell Culture Laboratory
    13:39

    Cell Culture Techniques and Practices to Avoid Contamination by Fungi and Bacteria in the Research Cell Culture Laboratory

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    Main Results:

    • Bacterial contamination introduced specific RAPD products and suppressed native A. cochlioides products.
    • Prokaryote contamination generated numerous specific AFLP products but did not suppress existing ones.
    • Contamination masked true genetic differences, leading to apparent similarity between contaminated samples and the outgroup A. euteiches in both RAPD and AFLP.

    Conclusions:

    • Visibly undetectable bacterial contamination can severely compromise the accuracy of RAPD and AFLP analyses.
    • RAPD and AFLP may not be reliable for detecting contamination in organisms prone to microbial presence.
    • Alternative methods like restriction fragment length polymorphism or DNA sequencing are recommended for contaminated samples.