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Inclusion of database outgroups improves accuracy of fungal meta-amplicon taxonomic assignments

Clayton Rawson, View ORCID ProfileGeoffrey Zahn
doi: https://doi.org/10.1101/2022.11.21.517387
Clayton Rawson
1Biology Department, Utah Valley University, Orem, UT, USA
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Geoffrey Zahn
1Biology Department, Utah Valley University, Orem, UT, USA
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  • ORCID record for Geoffrey Zahn
  • For correspondence: zahn.geoff@gmail.com
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ABSTRACT

Meta-amplicon studies of fungal communities rely on curated databases for assigning taxonomy. Any host or other non-fungal environmental sequences that are amplified during PCR are inherently assigned taxonomy by these same databases, possibly leading to ambiguous non-fungal amplicons being assigned to fungal taxa. Here, we investigated the effects of including non-fungal outgroups in a fungal taxonomic database to aid in detecting and removing these non-target amplicons. We processed 15 publicly available fungal meta-amplicon data sets and discovered that roughly 40% of the reads from these studies were not fungal, though they were assigned as Fungus sp. when using a database without non-fungal outgroups. We discuss implications for meta-amplicon studies and recommend assigning taxonomy using a database with outgroups to better detect these non-fungal amplicons.

Competing Interest Statement

The authors have declared no competing interest.

Footnotes

  • 800 W University Parkway, SB243, Orem, UT, 84058, USA, gzahn{at}uvu.edu

  • https://github.com/gzahn/Fungal_Database_Comparison

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
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Posted November 24, 2022.
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Inclusion of database outgroups improves accuracy of fungal meta-amplicon taxonomic assignments
Clayton Rawson, Geoffrey Zahn
bioRxiv 2022.11.21.517387; doi: https://doi.org/10.1101/2022.11.21.517387
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Inclusion of database outgroups improves accuracy of fungal meta-amplicon taxonomic assignments
Clayton Rawson, Geoffrey Zahn
bioRxiv 2022.11.21.517387; doi: https://doi.org/10.1101/2022.11.21.517387

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