title: Examining the efficacy of a genotyping-by-sequencing technique for population genetic analysis of the mushroom Laccaria bicolor and evaluating whether a reference genome is necessary to assess homology.
abstract: Given the diversity and ecological importance of Fungi, there is a lack of population genetic research on these organisms. The reason for this can be explained in part by their cryptic nature and difficulty in identifying genets. In addition the difficulty (relative to plants and animals) in developing molecular markers for fungal population genetics contributes to the lack of research in this area. This study examines the ability of restriction-site associated DNA (RAD) sequencing to generate SNPs in Laccaria bicolor. Eighteen samples of morphologically identified L. bicolor from the United States and Europe were selected for this project. The RAD sequencing method produced anywhere from 290 000 to more than 3 000 000 reads. Mapping these reads to the genome of L. bicolor resulted in 84 000-940 000 unique reads from individual samples. Results indicate that incorporation of non-L. bicolor taxa into the analysis resulted in a precipitous drop in shared loci among samples, suggests the potential of these methods to identify cryptic species. F-statistics were easily calculated, although an observable "noise" was detected when using the "All Loci" treatment versus filtering loci to those present in at least 50% of the individuals. The data were analyzed with tests of Hardy-Weinburg equilibrium, population genetic statistics (FIS and FST), and population structure analysis using the program Structure. The results provide encouraging feedback regarding the potential utility of these methods and their data for population genetic analysis. We were unable to draw conclusions of life history of L. bicolor populations from this dataset, given the small sample size. The results of this study indicate the potential of these methods to address population genetics and general life history questions in the Agaricales. Further research is necessary to explore the specific application of these methods in the Agaricales or other fungal groups.
authors.affiliation: Chicago Botanic Garden, Plant Conservation Science, 1000 Lake Cook Road, Glencoe, Illinois 60022 awwilson@purdue.edu.
authors.forename: Andrew W
authors.initials: AW
authors.lastname: Wilson
authors.affiliation: Chicago Botanic Garden, Plant Conservation Science, 1000 Lake Cook Road, Glencoe, Illinois 60022; Northwestern University, Program in Biological Sciences, 2205 Tech Drive O.T. Hogan Hall Room 2-144, Evanston, Illinois 60208.
authors.forename: Norman J
authors.initials: NJ
authors.lastname: Wickett
authors.affiliation: University of Chicago, Ecology and Evolution, 1101 E 57th Street, Chicago, Illinois 60637.
authors.forename: Paul
authors.initials: P
authors.lastname: Grabowski
authors.affiliation: Chicago Botanic Garden, Plant Conservation Science, 1000 Lake Cook Road, Glencoe, Illinois 60022.
authors.forename: Jeremie
authors.initials: J
authors.lastname: Fant
authors.affiliation: Australian National University, Research School of Biology, Canberra, Australia; University of Chicago, Ecology and Evolution, 1101 E 57th Street, Chicago, Illinois 60637.
authors.forename: Justin
authors.initials: J
authors.lastname: Borevitz
authors.affiliation: Chicago Botanic Garden, Plant Conservation Science, 1000 Lake Cook Road, Glencoe, Illinois 60022.
authors.forename: Gregory M
authors.initials: GM
authors.lastname: Mueller
mesh_terms: D016681:Genome, Fungal; D005838:Genotype; D055399:Laccaria / Q000145:classification / Q000235:genetics* / Q000302:isolation & purification*; D008969:Molecular Sequence Data; D010802:Phylogeny; D017422:Sequence Analysis, DNA / Q000379:methods*
keywords: Agaricales; Agaricomycetes; Fungi; GBS; RAD; restriction-site associate DNA