Whole genome shotgun sequencing detects greater lichen fungal diversity than amplicon-based methods in environmental samples

Microbial communities have increasingly been broadly investigated using sequence-based methods, leading to improved understanding of these important contributors to ecological and evolutionary processes. In this study we demonstrate the utility of whole genome shotgun (WGS) metagenomics in study organisms with small genomes to improve upon amplicon-based estimates of biodiversity and microbial diversity in environmental samples. We generated a database of full-length and near-full-length ribosomal DNA sequence complexes from 273 lichenized fungal species and used this database to compare WGS versus amplicon-based approaches to detect diversity in environmental samples collected in two, one-hectare plots in the southern Appalachian Mountains. This database was established to facilitate fungal species identification using low coverage WGS at higher resolution and without the biases of amplicon-based approaches. Using this new database and methods herein developed, we detected between 2.8 and 11 times as many species from lichen fungal propagules by aligning reads from WGS-sequenced environmental samples compared to a traditional amplicon-based approach applied to the same samples. We then conducted complete taxonomic diversity inventories of the lichens in each one-hectare plot to assess overlap between standing taxonomic diversity (TD) and diversity detected based on propagules present in environmental samples (i.e., the "potential" of diversity, or PoD). From the environmental samples, we detected 94 species not observed in organism-level sampling in these ecosystems with high confidence using both WGS and amplicon-based methods. To our knowledge, no studies to date have applied this method to macro-eukaryotes. This study highlights the utility of WGS sequence-based approaches in detecting hidden species diversity and demonstrates that amplicon-based methods likely miss important components of fungal diversity. We suggest that the adoption of this method, which relies on quantification of TD vs. PoD, will not only improve understanding of biotic constraints on the distributions of biodiversity but will also help to inform important environmental policy