The Opinion Editorial: teaching physiology outside the box

Improving the public understanding of science is an important challenge for the future professional scientists who are our current undergraduates. In this paper, we present a conceptual model that explores the role of mass media as community gatekeepers of new scientific findings. This model frames the benefits for undergraduate science students to learn about media genres so that they can learn to communicate science more effectively to nonprofessional audiences. Informed by this Media Role model, we then detail a novel writing task for undergraduate physiology students, the Opinion Editorial (Op-Ed), and an accompanying Peer Review. The Op-Ed genre was directly taught to the students by a professional journalist. As an assessment task, students presented a recent, highly technical paper as an Op-Ed. This was assessed by both faculty members and peers using a detailed assessment rubric. Most students were able to replicate the features of Op-Eds and attained high grades on their writing tasks. Survey data from final-year physiology students (n = 230) were collected before and after the implementation of the Op-Ed/Peer Review. These indicated that most students were aware of the importance of scientists to effectively communicate their knowledge to nonprofessional audiences, that the Op-Ed writing task was challenging, and that they believed that their ability to write to nonprofessional audiences was improved after explicit teaching and feedback.

Trait physiology and crop modelling to link phenotypic complexity to underlying genetic systems

New tools derived from advances in molecular biology have not been widely adopted in plant breeding because of the inability to connect information at gene level to the phenotype in a manner that is useful for selection. We explore whether a crop growth and development modelling framework can link phenotype complexity to underlying genetic systems in a way that strengthens molecular breeding strategies. We use gene-to-phenotype simulation studies on sorghum to consider the value to marker-assisted selection of intrinsically stable QTLs that might be generated by physiological dissection of complex traits. The consequences on grain yield of genetic variation in four key adaptive traits – phenology, osmotic adjustment, transpiration efficiency, and staygreen – were simulated for a diverse set of environments by placing the known extent of genetic variation in the context of the physiological determinants framework of a crop growth and development model. It was assumed that the three to five genes associated with each trait, had two alleles per locus acting in an additive manner. The effects on average simulated yield, generated by differing combinations of positive alleles for the traits incorporated, varied with environment type. The full matrix of simulated phenotypes, which consisted of 547 location-season combinations and 4235 genotypic expression states, was analysed for genetic and environmental effects. The analysis was conducted in stages with gradually increased understanding of gene-to-phenotype relationships, which would arise from physiological dissection and modelling. It was found that environmental characterisation and physiological knowledge helped to explain and unravel gene and environment context dependencies. We simulated a marker-assisted selection (MAS) breeding strategy based on the analyses of gene effects. When marker scores were allocated based on the contribution of gene effects to yield in a single environment, there was a wide divergence in rate of yield gain over all environments with breeding cycle depending on the environment chosen for the QTL analysis. It was suggested that knowledge resulting from trait physiology and modelling would overcome this dependency by identifying stable QTLs. The improved predictive power would increase the utility of the QTLs in MAS. Developing and implementing this gene-to-phenotype capability in crop improvement requires enhanced attention to phenotyping, ecophysiological modelling, and validation studies to test the stability of candidate QTLs.