Critical evaluation of proteomic protocols for passion fruit (Passiflora edulis Sims) leaves, a crop with juice market benefits

Passion fruit grows practically all over Brazilian territory; its production is largely destined to juice industry and expanding to overseas markets. The suitability of four protein extraction protocols for plant proteome was  investigated to determine the best choice for studies concerning passion fruit leaf proteins. Trichloroacetic acid (TCA)/acetone extraction; isoelectric  focusing (IEF) buffer extraction; phenol (Phe) extraction and Phe-SDS extraction were tested. The Phe method produced the best results, showing higher reproducibility of resolved protein spots and clearer 2D gel  background staining. In comparison, the Phe-SDS method presented fewer spots and lower reproducibility. The TCA/acetone method produced the fewest identifiable spots and the IEF buffer produced the poorest results,displaying fewer reproducibly detected spots, more vertical streaks and darker 2D staining. Selected spots, obtained with Phe method, were identified by spectrometric analysis (MALDI-TOF-TOF) to exemplify the viability to perform more comprehensive proteomic studies with passion fruit leaves and, therefore increase information about stress-related and developmental responses in this fruit crop.Key words: Passion fruit, proteomic, protein extraction, juice industry

Research ethics beyond the IRB: Selection bias and the direction of innovation in applied economics

Principles for ethical behavior in the context of research are codified into rules that may change over time to meet peoples’ needs in specific institutions, including universities and professional associations. This paper aims to spark discussion about a set of ethical choices beyond those addressed by an IRB or recent association policy statements. Our specific focus is topic selection and the role of researchers’ interests and incentives in determining the kinds of research that we do. Using the principle of induced innovation, we show how changing incentives can influence the direction of research effort and thereby affect the kinds of policies or technologies that are supported by available evidence. With this paper, we hope to generate discussion among applied economists about selection bias in research and how we can use insights from economics itself to guide topic selection.12 month embargo; published online: 07 January 2021This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at [email protected]