Oct 2026· Plant Science· pp.
113531
· 0 citations· 49 references
Medicine
Abstract
The TIFY gene family is a plant-specific group of transcriptional regulators characterized by a conserved TIFY domain (TIF[F/Y]XG), participating in plant development, phytohormone signaling and abiotic stress responses. In this study, 21 SbTIFY genes were genome-widely identified in sorghum (Sorghum bicolor L.). According to phylogeny and protein structures, SbTIFY proteins were grouped into JAZ and ZML subfamilies, and the JAZ subfamily was further divided into five clades. These proteins contain 101-429 amino acids and are unevenly distributed across six chromosomes. Genes from the same subgroup possess similar exon-intron structures and conserved motifs. Promoter analysis uncovered abundant cis-elements associated with hormone signaling, stress responses and developmental processes. Synteny analysis detected seven orthologous pairs between sorghum and Arabidopsis, and 25 pairs between sorghum and rice (Oryza sativa). Expression profiling revealed that multiple SbTIFY members exhibited differential expression across developmental organs and under stresses including anthracnose infection, cold, heat, flooding, and salt. SbTIFY9 displayed strong induction under multiple stresses: its transcript level increased approximately 10-fold at 12h and approximately 31-fold at 24h of salt treatment, implying its vital function in salt response. Subcellular localization confirmed SbTIFY9 resides mainly in the nucleus. Heterologous overexpression of SbTIFY9 in Arabidopsis improved true leaf expansion, fresh weight at germination, and root growth and biomass at seedling stage under 125 and 150mM NaCl, demonstrating its positive role in salt tolerance. This work provides insights into the evolution and stress functions of sorghum TIFY family.
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 seque...
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.