Lawrence J. Weider
Professor of Biology
Ph.D.,University of Illinois at Urbana-Champaign
B.S., St. Bonaventure University
ljweider@ou.edu
405-325-4766 (Phone)
405-325-6202 (Fax)
SH 106A
Ph.D.,University of Illinois at Urbana-Champaign
B.S., St. Bonaventure University
ljweider@ou.edu
405-325-4766 (Phone)
405-325-6202 (Fax)
SH 106A
My group and I study the mechanisms (e.g. selection, migration) that influence the maintenance of genetic diversity in asexual-sexual species complexes, using the freshwater cladoceran genus, Daphnia, as our primary model organism. My research bridges the fields of population genetics, environmental genomics, and evolutionary ecology. In my lab, a variety of molecular techniques (e.g. microsatellites, DNA sequencing, and Next-Gen genomics) are used to examine the population genetic/genomic structure of aquatic organisms, with most of my work focusing on zooplankton. We currently have a number of major projects. The first project with a variety of international colleagues (i.e., Belgium, Canada, Germany, and Norway) has been examining long-term (i.e. decadal) changes in arctic rockpool and tundra pond population genetic structure, as well as community structure among zooplankton related to climate change. A second major project funded by the U.S. National Science Foundation (NSF) with colleagues at Oklahoma State University, and the St. Croix River (MN) Watershed Research Station (and Science Museum of Minnesota) has been focusing on the ecological and genetic information held in lake/pond sediment egg banks of freshwater invertebrates, primarily Daphnia. We employ a variety of techniques spanning the fields of paleolimnology (i.e., “resurrection ecology”), molecular genetics, ecology (i.e. direct hatching of eggs, selection experiments), and environmental genomics (i.e. Next-Gen sequencing) to examine long-term (i.e. decades, centuries) shifts in population genetic/genomic structure that may be associated with concomitant shifts in environmental factors (e.g. nutrient/eutrophication history). We aim to look at how shifts in environmental factors may influence long-term temporal genetic heterogeneity in natural populations.