Untrimmed ITS2 metabarcode sequences cause artificially reduced abundances of specific fungal taxa
Metabarcode sequencing produces DNA abundance profiles that are presumed to reflect the actual microbial composition of their corresponding input samples. However, this assumption is not always tested, and taxon-specific biases are often not apparent, especially for low-abundance taxa in complex communities. Here, we identified internal transcribed spacer region 2 (ITS2) read quality aberrations that caused dramatic reductions in the relative abundances of specific taxa in multiple data sets characterizing ant fungus gardens. Such taxon-specific biases in read quality may be widespread in other environments and for other fungal taxa, thereby causing incorrect descriptions of these mycobiomes.
Authors
- Kathleen E. Kyle (ORCID: https://orcid.org/0000-0002-2837-1124)
- Jonathan L. Klassen (ORCID: https://orcid.org/0000-0003-1745-8838)
Institutions
- University of Connecticut (US)
Publication Details
- Journal
- Applied and Environmental Microbiology
- Published
- 2024-12-26
- DOI
- https://doi.org/10.1128/aem.01537-24
- Citations
- 5
- Primary Topic
- Plant Pathogens and Fungal Diseases
- Type
- article
- Field-Weighted Citation Impact
- 1.63
Funders
- National Science Foundation
- University of Connecticut