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PacBio high-throughput multi-locus sequencing reveals high genetic diversity in mushroom-forming fungi.
Swenie, Rachel A; Looney, Brian P; Ke, Yi-Hong; Alejandro Rojas, J; Cubeta, Marc A; Langer, Gitta J; Vilgalys, Rytas; Matheny, P Brandon.
Affiliation
  • Swenie RA; Department of Ecology and Evolutionary Biology, University of Tennessee, Knoxville, Tennessee, USA.
  • Looney BP; Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, Massachusetts, USA.
  • Ke YH; Department of Biology, Duke University, Durham, North Carolina, USA.
  • Alejandro Rojas J; Department of Biology, Duke University, Durham, North Carolina, USA.
  • Cubeta MA; Department of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, Michigan, USA.
  • Langer GJ; Department of Biology, Duke University, Durham, North Carolina, USA.
  • Vilgalys R; Department of Plant, Soil and Microbial Sciences, Michigan State University, East Lansing, Michigan, USA.
  • Matheny PB; Department of Entomology and Plant Pathology, Center for Integrated Fungal Research, North Carolina State University, Raleigh, North Carolina, USA.
Mol Ecol Resour ; 24(1): e13885, 2024 01.
Article in En | MEDLINE | ID: mdl-37902171
ABSTRACT
Multi-locus sequence data are widely used in fungal systematic and taxonomic studies to delimit species and infer evolutionary relationships. We developed and assessed the efficacy of a multi-locus pooled sequencing method using PacBio long-read high-throughput sequencing. Samples included fresh and dried voucher specimens, cultures and archival DNA extracts of Agaricomycetes with an emphasis on the order Cantharellales. Of the 283 specimens sequenced, 93.6% successfully amplified at one or more loci with a mean of 3.3 loci amplified. Our method recovered multiple sequence variants representing alleles of rDNA loci and single copy protein-coding genes rpb1, rpb2 and tef1. Within-sample genetic variation differed by locus and taxonomic group, with the greatest genetic divergence observed among sequence variants of rpb2 and tef1 from corticioid Cantharellales. Our method is a cost-effective approach for generating accurate multi-locus sequence data coupled with recovery of alleles from polymorphic samples and multi-organism specimens. These results have important implications for understanding intra-individual genomic variation among genetic loci commonly used in species delimitation of fungi.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Agaricales Language: En Journal: Mol Ecol Resour Year: 2024 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Agaricales Language: En Journal: Mol Ecol Resour Year: 2024 Document type: Article