Oct 2026· Eurasian journal of applied biotechnology· 0 citations
Plant-Microbe Interactions and Immunity
Abstract
The identification and characterization of multi-stress tolerant Plant Growth-Promoting Bacteria (PGPB) are essential for developing sustainable agricultural strategies to mitigate the effects of abiotic stress factors and intensive agrochemical usage. This study aimed to evaluate the stress tolerance of eleven autochthonous strains isolated from steppe zone previously exposed to glyphosate application. Taxonomic identity was confirmed by 16S rRNA gene sequencing, resulting in a phylogenetically diverse collection of isolates belonging to the genera Pseudomonas spp., Paenibacillus spp., and Paenarthrobacter spp. The strains were subjected to a comparative tolerance screening under abiotic and xenobiotic stress, including osmotic, saline, and glyphosate exposure. Quantitative growth histograms revealed distribution of strains depending on stress factors, while principal component analysis (PCA) identified distinct clustering patterns, indicating genus-specific tolerance thresholds. Molecular screening detected the groL and ectA genes in Paenibacillus isolates, indicating potential roles in protein folding and osmoadaptation. Furthermore, ultrastructural scanning and transmission microscopic imaging revealed exopolysaccharide (EPS) production, suggesting its role in cellular protection. Overall, the eleven indigenous strains showed synergistic physiological, genetic, and structural adaptations, highlighting their potential as multi-functional bio-inoculants for stress-resilient agriculture.
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.