loading page

Understudied, underrepresented, and unknown: methodological biases that limit detection of early diverging fungi from environmental samples
  • +1
  • Nicole Reynolds,
  • Michelle Jusino,
  • Jason Stajich,
  • Matthew Smith
Nicole Reynolds
University of Florida

Corresponding Author:nicolereynolds1@ufl.edu

Author Profile
Michelle Jusino
Williams and Mary College
Author Profile
Jason Stajich
University of California Riverside
Author Profile
Matthew Smith
University of Florida
Author Profile

Abstract

Metabarcoding is an important tool for understanding fungal communities. The internal transcribed spacer (ITS) rDNA is the accepted fungal barcode but has known problems. The large subunit (LSU) rDNA has also been used to investigate fungal communities but available LSU metabarcoding primers were mostly designed to target Dikarya (Ascomycota + Basidiomycota) with little attention to early diverging fungi (EDF). However, evidence from multiple studies suggests that EDF comprise a large portion of unknown diversity in community sampling. Here we investigate how DNA marker choice and methodological biases impact recovery of EDF from environmental samples. We focused on one EDF lineage, Zoopagomycota, as an example. We evaluated three primer sets (ITS1F/ITS2, LROR/LR3, and LR3 paired with new primer LR22F) to amplify and sequence a Zoopagomycota mock community and a set of 146 environmental samples with Illumina MiSeq. We compared two taxonomy assignment methods and created an LSU reference database compatible with AMPtk software. The two taxonomy assignment methods recovered strikingly different communities of fungi and EDF. Target fragment length variation exacerbated PCR amplification biases and influenced downstream taxonomic assignments, but this effect was greater for EDF than Dikarya. To improve identification of LSU amplicons we performed phylogenetic reconstruction and illustrate the advantages of this critical tool for investigating identified and unidentified sequences. Our results suggest much of the EDF community may be missed or misidentified with “standard” metabarcoding approaches and modified techniques are needed to understand the role of these taxa in a broader ecological context.
08 Apr 2021Submitted to Molecular Ecology Resources
14 Apr 2021Reviewer(s) Assigned
01 Jun 2021Review(s) Completed, Editorial Evaluation Pending
23 Jun 2021Editorial Decision: Revise Minor
13 Sep 2021Review(s) Completed, Editorial Evaluation Pending
13 Sep 20211st Revision Received
15 Sep 2021Editorial Decision: Accept
10 Nov 2021Published in Molecular Ecology Resources. 10.1111/1755-0998.13540