Journal
AMERICAN JOURNAL OF BOTANY
Volume 103, Issue 7, Pages 1314-1325Publisher
WILEY
DOI: 10.3732/ajb.1600146
Keywords
Andropogon gerardii; big bluestem; genotyping by sequencing; Poaceae; polyploidy; population genetics; tallgrass prairie; UNEAK
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Funding
- Principia College Student Research Fund
- Department of Biology Mueller Fund
- Saint Louis University
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PREMISE OF THE STUDY: Autopolyploidy, genome duplication within a single lineage, can result in multiple cytotypes within a species. Geographic distributions of cytotypes may reflect the evolutionary history of autopolyploid formation and subsequent population dynamics including stochastic (drift) and deterministic (differential selection among cytotypes) processes. Here, we used a population genomic approach to investigate whether autopolyploidy occurred once or multiple times in Andropogon gerardii, a widespread, North American grass with two predominant cytotypes. METHODS: Genotyping by sequencing was used to identify single nucleotide polymorphisms (SNPs) in individuals collected from across the geographic range of A. gerardii. Two independent approaches to SNP calling were used: the reference-free UNEAK pipeline and a reference-guided approach based on the sequenced Sorghum bicolor genome. SNPs generated using these pipelines were analyzed independently with genetic distance and clustering. KEY RESULTS: Analyses of the two SNP data sets showed very similar patterns of population-level clustering of A. gerardii individuals: a cluster of A. gerardii individuals from the southern Plains, a northern Plains cluster, and a western cluster. Groupings of individuals corresponded to geographic localities regardless of cytotype: 6 x and 9 x individuals from the same geographic area clustered together. CONCLUSIONS: SNPs generated using reference-guided and reference-free pipelines in A. gerardii yielded unique subsets of genomic data. Both data sets suggest that the 9 x cytotype in A. gerardii likely evolved multiple times from 6 x progenitors across the range of the species. Genomic approaches like GBS and diverse bioinformatics pipelines used here facilitate evolutionary analyses of complex systems with multiple ploidy levels.
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