title: Developing maps of fitness consequences for plant genomes.
abstract: Predicting the fitness consequences of mutations, and their concomitant impacts on molecular and cellular function as well as organismal phenotypes, is an important challenge in biology that has new relevance in an era when genomic data is readily available. The ability to construct genomewide maps of fitness consequences in plant genomes is a recent development that has profound implications for our ability to predict the fitness effects of mutations and discover functional elements. Here we highlight approaches to building fitness consequence maps to infer regions under selection. We emphasize computational methods applied primarily to the study of human disease that translate physical maps of within-species genome variation into maps of fitness effects of individual natural mutations. Maps of fitness consequences in plants, combined with traditional genetic approaches, could accelerate discovery of functional elements such as regulatory sequences in non-coding DNA and genetic polymorphisms associated with key traits, including agronomically-important traits such as yield and environmental stress responses.
authors.affiliation: Center for Genomics and Systems Biology, Department of Biology, 12 Waverly Place, New York University, New York, NY 10003, United States.
authors.forename: Zoé
authors.initials: Z
authors.lastname: Joly-Lopez
authors.affiliation: Center for Genomics and Systems Biology, Department of Biology, 12 Waverly Place, New York University, New York, NY 10003, United States; Center for Genomics and Systems Biology, NYU Abu Dhabi Research Institute, NYU Abu Dhabi, Saadiyat Island, Abu Dhabi, United Arab Emirates.
authors.forename: Jonathan M
authors.initials: JM
authors.lastname: Flowers
authors.affiliation: Center for Genomics and Systems Biology, Department of Biology, 12 Waverly Place, New York University, New York, NY 10003, United States; Center for Genomics and Systems Biology, NYU Abu Dhabi Research Institute, NYU Abu Dhabi, Saadiyat Island, Abu Dhabi, United Arab Emirates. Electronic address: mp132@nyu.edu.
authors.forename: Michael D
authors.initials: MD
authors.lastname: Purugganan
mesh_terms: D018745:Genome, Plant / Q000235:genetics* / Q000502:physiology; D023281:Genomics / Q000379:methods*; D011110:Polymorphism, Genetic / Q000235:genetics; D012641:Selection, Genetic / Q000235:genetics