Genome‐Wide Screening and Functional Verification of the Tobacco SGR Family Identify Transcription‐Factor‐Like NtSGRL as a Negative Regulator of Tomato Yellow Leaf Curl Virus Resistance
ABSTRACT Viral infection often induces chlorosis, a symptom closely associated with chlorophyll (Chl) degradation. STAY‐GREEN (SGR) proteins are key regulators of Chl breakdown, but their roles in plant virus resistance remain poorly understood. In this study, we identified six NtSGR family genes in Nicotiana tabacum and functionally characterized NtSGRL1 during tomato yellow leaf curl virus (TYLCV) infection. TYLCV drastically upregulates NtSGRL1 (149‐fold at 4 days post‐inoculation [dpi] vs. control), suggesting its involvement in the tobacco–TYLCV interaction. Subcellular localization revealed that NtSGRL1 is targeted to both the nucleus and chloroplast, and yeast assays confirmed its transcriptional activation activity, indicating potential dual functions. TYLCV accumulation was reduced by 1995‐fold in Ntsgrl1 mutants relative to wild‐type (WT) plants at 10 dpi. Further assays with tomato spotted wilt virus (TSWV), potato virus Y (PVY) and tobacco mosaic virus (TMV) showed that viral accumulation in Ntsgrl1 mutants was reduced by 62%–99%, suggesting that NtSGRL1 may affect resistance to additional tested viruses. Transcriptomics revealed 1470 differentially expressed genes in TYLCV‐infected Ntsgrl1 plants enriched in MAPK signalling and phenylpropanoid biosynthesis pathways. Virus‐induced gene silencing (VIGS)‐based validation further supported the involvement of these pathways in TYLCV resistance. Overall, this study identifies NtSGRL1 as a critical regulator of antiviral resistance in tobacco and reveals its dual functional roles as both a Chl‐related enzyme and a transcriptional regulator. These findings provide new insights into plant antiviral mechanisms and potential genetic resources for breeding virus‐resistant crops.
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.