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Abstract Detail

Population Genetics/Genomics

Hodel, Richard [1], Bishop, Sasha [1], Massatti, Rob [2], Knowles, Lacey [1].

Assessing drivers of phylogeographic concordance in co-distributed sedge species pairs at two spatial scales.

Studying species in a comparative phylogeographic framework has traditionally emphasized identifying concordance. In many cases, any concordance detected was assumed to be due to geologic or climatic events, which typically occur at relatively large spatial scales. However, the spatial and temporal scales at which species are studied can impact whether concordance or discordance is detected.
We investigate the concordance of phylogeographic patterns on two spatial scales using four sedge species in the genus Carex (Cyperaceae). One pair of species (C. epapillosa and C. pelocarpa) is widespread in alpine habitats across the western United States, and the other pair (C. bella and C. chalciolepis) is more narrowly distributed—existing only in Colorado and neighboring states. Initial phylogeographic analyses (principle components analysis, STRUCTURE, and phylogenetic analyses) indicate some similar phylogeographic structure within each pair of species. These two pairs of species represent a natural means of testing for phylogeographic concordance at two spatial scales; accordingly we investigate the drivers that led to congruent or discordant phylogeographic patterns within the two pairs. We hypothesize that on larger spatial scales, abiotic environmental and/or geologic factors led to any shared phylogeographic patterns detected. Conversely, on smaller spatial scales, we hypothesize that species-specific traits, which could impact demographic processes or promote differential local adaptation, will drive phylogeographic concordance or discordance.

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1 - U of Michigan, Ecology and Evolutionary Biology, Ann Arbor, MI
2 - United States Geologic Survey

alpine plants

Presentation Type: Oral Paper
Session: 47, Population Genetics and Genomics II
Location: 101/Mayo Civic Center
Date: Wednesday, July 25th, 2018
Time: 2:15 PM
Number: 47004
Abstract ID:888
Candidate for Awards:Margaret Menzel Award

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