Chlamydomonas: A Mapping Population for Studying Function-Valued Traits

Most traits of economic or biomedical interest are complex and are controlled by interacting genes and environmental factors. In addition, most complex traits are dynamic and change over time or environments. Thus, these complex traits are best described by a mathematical function. Genotypic differences in function-valued traits are likely caused by differing genetic architectures; however, due to their complex statistical nature, they are rarely explored. We created a mapping population using Chlamydomonas reinhardtii and next-gen sequencing technology. C. reinhardtii is a unicellular green algae that is widely used as a model system for cell movement and photosynthesis. Recently, researchers have focused on lipid production to create a highly sustainable algae-based biofuel. However, their ability to effectively increase lipid production has had limited success. With our mapping population we will find QTLs associated with complex trait functions like lipid production across different environments. Then, we will explore the patterns of QTL effects and interactions with the environment and other QTLs to form a picture of the underlying genetic architecture. Understanding these complex architectures will provide insight into the evolution of function-valued traits and have implications for biofuel efficacy and sustainability.