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| AGRY 58000 - Soil And Rhizosphere Microbiology |
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Credit Hours: 3.00. Soils are complex ecosystems that host a diverse array of organisms, which interact with and respond to their environment. This course explores the ecology, evolution, and functions of soil microbes, with a particular focus on their interactions with plants. Through this course, students will gain an understanding of the metabolic processes and life-history strategies of archaea, bacteria, fungi, and viruses in soil, root, and rhizosphere compartments. Students will also survey the microbiomes of diverse soil ecosystems, such as forests, agroecosystems, and grasslands, and learn principles of soil microbiology and biogeochemistry. In addition, students will acquire practical knowledge about the methods used for characterizing microbes in soil and plant systems.
3.000 Credit hours Syllabus Available Levels: Undergraduate, Graduate, Professional Schedule Types: Lecture Offered By: College of Agriculture Department: Agronomy Course Attributes: Upper Division May be offered at any of the following campuses: West Lafayette Learning Outcomes: 1. Demonstrate understanding of the ecology and physiology of major groups of bacteria, archaea, fungi, and viruses found in soils, the rhizosphere, and roots. 2. Compare and contrast soil and rhizosphere microbiomes, and their differences between the managed versus natural ecosystems. 3. Use verbal and basic mathematical descriptions to explain theories related to microbial growth, survival, and symbioses. 4. Predict the occurrence of microbial processes and soil conditions that govern the cycling of carbon, nitrogen, phosphorus, sulfur, and metals in soils and relate this knowledge to ecosystem functions. 5. Envision potential applications for soil and root-borne microbes in natural resource management, such as agriculture, forestry, and soil conservation. 6. Apply knowledge of plant-microbe interactions to develop hypotheses, design experiments, and select appropriate study methods. 7. Recognize and select appropriate resources and tools to effectively analyze microbiome data. |
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