DNA barcoding of fungal specimens using PacBio long-read high-throughput sequencing

Molecular methods are increasingly used to identify species that lack conspicuous macro- or micromorphological characters. Taxonomic and ecological research teams barcode large numbers of collected voucher specimens annually. In this study we assessed the efficiency of long-read high throughput sequencing (HTS) as opposed to the traditionally used Sanger method for taxonomic identification of multiple vouchered fungal specimens, and providing reference information about intra-individual allele polymorphism. We developed a workflow based on a test-set of 423 fungal specimens (representing 205 species), PacBio HTS method, and ribosomal rRNA operon internal transcribed spacer (ITS) and 28S rRNA gene (LSU) markers. PacBio HTS had a higher success rate than Sanger sequencing at a comparable cost. Species identification based on PacBio reads was usually straightforward, because the dominant operational taxonomic unit (OTU) typically represented the targeted organism. Unlike the Sanger method, PacBio HTS enabled detecting widespread allele polymorphism within the ITS marker in the studied specimens. We conclude that multiplex DNA barcoding of the fungal ITS and LSU markers using a PacBio HTS is a useful tool for taxonomic identification of large amounts of collected voucher specimens at competitive price. Furthermore, PacBio HTS accurately recovers various alleles, which can provide crucial information for species delimitation and population-level studies.

Identifier
Source https://data.blue-cloud.org/search-details?step=~0129158314CD24366EC8828B670B90D189D3B256FC2
Metadata Access https://data.blue-cloud.org/api/collections/9158314CD24366EC8828B670B90D189D3B256FC2
Provenance
Instrument Sequel II; PACBIO_SMRT
Publisher Blue-Cloud Data Discovery & Access service; ELIXIR-ENA
Contributor Institute of Ecology and Earth Sciences, University of Tartu
Publication Year 2024
OpenAccess true
Contact blue-cloud-support(at)maris.nl
Representation
Discipline Marine Science
Spatial Coverage (-59.631W, -22.323S, 166.890E, 59.553N)
Temporal Coverage Begin 2011-09-23T00:00:00Z
Temporal Coverage End 2020-10-24T00:00:00Z