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Full-Text Articles in Ecology and Evolutionary Biology
Drought Responsive Gene Expression Regulatory Divergence Between Upland And Lowland Ecotypes Of A Perennial C4 Grass, John T. Lovell, Scott Schwartz, David B. Lowry, Eugene V. Shakirov, Jason E. Bonnette, Xiaoyu Weng, Mei Wang, Jenifer Johnson, Avinash Sreedasyam, Christopher Plott, Jerry Jenkins, Jeremy Schmutz, Thomas E. Juenger
Drought Responsive Gene Expression Regulatory Divergence Between Upland And Lowland Ecotypes Of A Perennial C4 Grass, John T. Lovell, Scott Schwartz, David B. Lowry, Eugene V. Shakirov, Jason E. Bonnette, Xiaoyu Weng, Mei Wang, Jenifer Johnson, Avinash Sreedasyam, Christopher Plott, Jerry Jenkins, Jeremy Schmutz, Thomas E. Juenger
Biological Sciences Faculty Research
Climatic adaptation is an example of a genotype-by-environment interaction (G×E) of fitness. Selection upon gene expression regulatory variation can contribute to adaptive phenotypic diversity; however, surprisingly few studies have examined how genome-wide patterns of gene expression G×E are manifested in response to environmental stress and other selective agents that cause climatic adaptation. Here, we characterize drought-responsive expression divergence between upland (drought-adapted) and lowland (mesic) ecotypes of the perennial C4 grass, Panicum hallii, in natural field conditions. Overall, we find that cis-regulatory elements contributed to gene expression divergence across 47% of genes, 7.2% of which exhibit drought-responsive G×E. …
An Assessment Of West Virginia Watersheds Through The Use Of Geographic Information System (Gis), Nathan Thomas Hoxie
An Assessment Of West Virginia Watersheds Through The Use Of Geographic Information System (Gis), Nathan Thomas Hoxie
Theses, Dissertations and Capstones
Analysis of West Virginia Department of Environmental Protection (WVDEP) agency’s Stream Condition Index and habitat assessment data compared two cycles of data. Geographic Information System (GIS) was used to develop a kriging model to project scores. Scores were calculated for Hydrologic Unit Code (HUC) eight and ten using Zonal statistics. The Getis-Ord Gi Star was used to identify high and low value clusters. Land use and impervious surface data was gathered from the United States Geological Survey (USGS) to assess impacts to watersheds. The results for WVSCI and habitat assessment showed that there was an improvement between cycles. Negative WVSCI …