Program for Ecosystem Research
Research Project Bridging the divide: linking genomics to ecosystem responses to climatic change
Principal investigator: Melinda Smith
Demonstrate that genomic data can be collected from plants under field conditions and directly linked to plant physiological responses underlying climatic change impacts on ecosystem structure and functioning.
Ecosystem being studied
Tallgrass prairie in the Flint Hills region of northeastern Kansas. The study system corresponds to the "bluestem-grama prairie (Andropogon-Bouteloua)" vegetation type of Kuchler (1964). This ecosystem is part of a larger grassland biome in the central United States (see map).
In response to altered rainfall patterns, the prairie grass big bluestem (Andropogon gerardii) has consistently upregulated genes controlling two aspects of photosynthesis (i.e., photochemistry and carbon metabolism) crucial to ecosystem functioning.
Why this is important
The research bridges two divergent disciplines in biology: molecular biology and ecology. It is expected that this combination of disciplines will provide early indicators of biological change driven by altered precipitation and warming that can be used within ecosystem models to produce forecasts for society to consider when weighing climatic change mitigation policies. This research is also relevant to improved understanding of the fundamental controls of grassland productivity upon which livestock management depends, a key land use and economic driver in the Great Plains region.
This project takes advantage of an ongoing climatic change experiment in intact tallgrass prairie located in the Flint Hills region of northeastern Kansas, the Rainfall Manipulation Plots (RaMPs). The RaMPs experiment imposes two environmental changes associated with energy production: (1) increased temperature (1-2 degrees Celsius warming) and (2) more variable precipitation regimes defined as increased time between, and intensity of, rainfall events.
The project is focusing on the two most abundant C4 grasses in the tallgrass prairie ecosystem, Andropogon gerardii and Sorghastrum nutans, which are known from previous studies to respond differently to altered precipitation and to strongly influence community and ecosystem processes. Both are related to maize (Zea mays) for which genomic tools have been developed.
This project is attempting to directly scale responses at the genome level to ecological processes. Specifically, information on the relative changes in gene expression determined with microarray and real-time polymerase chain reaction (PCR) technologies are collected concurrently with a suite of ecophysiological responses to identify genes that are consistently up- or down-regulated in the target species in response to climatic changes. Gene-level changes are scaled to community and ecosystem level responses based on responses of the individual grass species.
Melinda D. Smith, Yale University
Alan K. Knapp, Colorado State University (subaward)
Jianfa Bai, Kansas State University (subaward)
John Blair, Kansas State University (subaward)
Karen Garrett, Kansas State University (subaward)
Scot Hulbert, Kansas State University (subaward)
Jan E. Leach, Kansas State University (subaward)
Steve Travers, Kansas State University (subaward)
Philip A. Fay, University of Minnesota-Duluth (subaward)
Kuchler AW (1964) Manual to Accompany the Map: Potential Natural Vegetation of the Conterminous United States. American Geological Society (Special publication No. 36), New York.
Funding period: August 2004 to present