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Rare Event Detection Using Error-corrected DNA and RNA Sequencing
Published on: August 3, 2018
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On the unreliability of published DNA sequences
Paul D Bridge1,2,3, Peter J Roberts2, Brian M Spooner2
1School of Biological and Chemical Sciences, Birkbeck College, Malet Street, London WC1E 7HX, UK.
The New Phytologist
|April 20, 2021
Summary
Published fungal nucleic acid sequences, particularly ribosomal RNA (rRNA) gene sequences, may have significant reliability issues. Our analysis indicates up to 20% of these crucial genetic markers could be inaccurate, impacting fungal research.
Area of Science:
- Mycology
- Molecular Biology
- Bioinformatics
Background:
- Ribosomal RNA (rRNA) gene sequences are vital for fungal phylogeny, evolution, and identification in non-culture based studies.
- Public-access databases host a large volume of fungal nucleic acid sequences used in research.
- Ensuring the reliability of these publicly available sequences is critical for scientific integrity.
Purpose of the Study:
- To critically re-evaluate the reliability of published fungal nucleic acid sequences.
- To assess the accuracy of ribosomal RNA (rRNA) gene sequences commonly used in fungal research.
- To quantify potential unreliability in publicly available fungal genetic data.
Main Methods:
- Re-evaluation of 206 named fungal nucleic acid sequences from public databases.
- Focus on sequences from the ribosomal RNA (rRNA) gene cluster, including internal transcribed spacer (ITS) and small subunit rRNA.
- Selection of fungal groups (Amanita, Phoma, Helotiales) with sequences from multiple laboratories to mitigate sample bias.
Main Results:
- Up to 20% of available rRNA sequences for the studied fungal groups may be unreliable.
- This level of unreliability was observed across different fungal genera and orders.
- Informal observations support the quantitative findings on sequence reliability.
Conclusions:
- A significant proportion of publicly available fungal rRNA gene sequences may be unreliable.
- The findings highlight a potential issue impacting fungal evolutionary studies and identification.
- Researchers should exercise caution when utilizing public fungal sequence data and consider validation.
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