StERF87 directly activates StPR1a via GCC-box binding and integrates SA/ET signaling to enhance bacterial wilt resistance. Potato (Solanum tuberosum) is an important food crop worldwide, yet its yield is severely constrained by bacterial wilt caused by Ralstonia solanacearum. We used RNA-Seq to study gene expression in ‘Z1076-1’ at 0, 1, and 2 days post-inoculation (dpi) with R. solanacearum (10⁶ CFU mL⁻1). We identified 6663 differentially expressed genes at 1 dpi and 7390 at 2 dpi. Calcium signaling and MAPK cascade genes were upregulated at 1 dpi. PR protein and ROS-related genes showed stronger induction at 2 dpi. The ethylene-responsive transcription factor StERF87 was continuously upregulated. Its expression increased 4.7-fold at 2 dpi, with FPKM values over 100. We selected this gene for functional analysis. Transgenic potato plants overexpressing StERF87 showed lower disease severity and reduced bacterial growth in both whole plants and tuber slices. StERF87 is a transcriptional activator that directly binds the GCC-box in the StPR1a promoter to activate its transcription. After R. solanacearum inoculation, StERF87 overexpression also increased PR1b1 expression, elevated salicylic acid and ethylene levels, reduced jasmonic acid accumulation, and altered the activities of ROS-scavenging enzymes including SOD, POD, and CAT. These results show that StERF87 regulates potato defense against R. solanacearum and may be useful for breeding bacterial wilt-resistant varieties.
The comparison of adopter and non-adopter sample reveals three potential adoption inhibitor, security, data privacy, and portability, which underlines the importance of the technical and security perspectives for research investigating the adoption of technology.
Nattakarn Phaphoom, Xiaofeng Wang, S. Samuel et al.· Journal of Systems and Softw...· 111 citations· ⚡8
This study investigates how Lean internal startup facilitates software product innovation in large companies and identifies its enablers and inhibitors, and shows the potential of the method-in-action framework to investigate the Lean startup approach in non-startup context.
Henry Edison, Nina M. Smørsgård, Xiaofeng Wang et al.· Journal of Systems and Softw...· 78 citations· ⚡6
This paper highlights the challenges to conduct proper affect-related studies with psychology, provides a comprehensive literature review in affect theory, and proposes guidelines for conducting psychoempirical software engineering.
D. Graziotin, Xiaofeng Wang, P. Abrahamsson· SSE@SIGSOFT FSE· 56 citations· ⚡4
This study conducts a multiple case study on twenty European software startups and proposes a prototype-centric learning model in early stage software startups, and identifies factors that occur as barriers but also facilitators for prototyping in earlystage software startups.
Anh Nguyen-Duc, Xiaofeng Wang, P. Abrahamsson· International Conference on...· 44 citations· ⚡5
It is demonstrated that linker-free PROTACs can outperform traditional designs, marking a paradigm shift in PROTAC development for targeted protein degradation.
Pinal, a 16-billion-parameter foundation model that produces protein candidates from natural-language functional descriptions, supports natural language as a high-level interface for candidate generation in protein design, enabling programmable exploration with reduced reliance on manually specified structural or sequence constraints.
A new machine-learning framework aims to improve the success rate of computational protein design while moving away from results that reproduce sequences found in nature.