Genetically Engineered Transvestites Reveal Novel Mating Genes in Budding Yeast

Haploid budding yeast has two mating types, defined by the alleles of the MAT locus, MATa and MATα. Two haploid cells of opposite mating types mate by signaling to each other using reciprocal pheromones and receptors, polarizing and growing towards each other, and eventually fusing to form a single diploid cell. The pheromones and receptors are necessary and sufficient to define a mating type, but other mating type-specific proteins make mating more efficient. We examined the role of these proteins by genetically engineering "transvestite" cells that swap the pheromone, pheromone receptor, and pheromone processing factors of one mating type for another. These cells mate with each other, but their mating is inefficient. By characterizing their mating defects and examining their transcriptomes, we found Afb1 (a-factor barrier), a novel MATα-specific protein that interferes with a-factor, the pheromone secreted by MATa cells. Strong pheromone secretion is essential for efficient mating, and the weak mating of transvestites can be improved by boosting their pheromone production. Synthetic biology can characterize the factors that control efficiency in biological processes. In yeast, selection for increased mating efficiency is likely to have continually boosted pheromone levels and the ability to discriminate between partners who make more and less pheromone. This discrimination comes at a cost: weak mating in situations where all potential partners make less pheromone.Molecular and Cellular Biolog

Balancing the Competing Demands of Strategic Philanthropy: The Case of the Delaware River Watershed Initiative

Strategic philanthropy requires striking a balance between two extremes. On one side is unilateral agenda-setting by the foundation and excessive reliance on its own intellectual frameworks and methods. On the other side is too much deference to competing voices from the field, with the risk that funding will be haphazard and incoherent. This article describes how the Delaware River Watershed Initiative, supported by the William Penn Foundation, has struggled to position itself between these two extremes. Based on an evaluation conducted during the first four years of the initiative, the article examines four interrelated tensions: upfront planning versus emergent strategy, top-down versus bottom-up management, strategic focus versus opportunistic flexibility, and ambitious aspirations versus realistic expectations. After discussing how each of these tensions has played out as the initiative has evolved, the article concludes by suggesting that the role of evaluation in strategic philanthropy is not just to provide feedback on the progress of a strategy, but also to facilitate a learning process to help participants clarify their strategy by reconciling such tensions

Developmental Programming Mediated by Complementary Roles of Imprinted Grb10 in Mother and Pup

Developmental programming links growth in early life with health status in adulthood. Although environmental factors such as maternal diet can influence the growth and adult health status of offspring, the genetic influences on this process are poorly understood. Using the mouse as a model, we identify the imprinted gene Grb10 as a mediator of nutrient supply and demand in the postnatal period. The combined actions of Grb10 expressed in the mother, controlling supply, and Grb10 expressed in the offspring, controlling demand, jointly regulate offspring growth. Furthermore, Grb10 determines the proportions of lean and fat tissue during development, thereby influencing energy homeostasis in the adult. Most strikingly, we show that the development of normal lean/fat proportions depends on the combined effects of Grb10 expressed in the mother, which has the greater effect on offspring adiposity, and Grb10 expressed in the offspring, which influences lean mass. These distinct functions of Grb10 in mother and pup act complementarily, which is consistent with a coadaptation model of imprinting evolution, a model predicted but for which there is limited experimental evidence. In addition, our findings identify Grb10 as a key genetic component of developmental programming, and highlight the need for a better understanding of mother-offspring interactions at the genetic level in predicting adult disease risk