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Ezra, D.

Publications and source records attributed to Ezra, D..

2 recordsLinked to original sources

Peacock Eye Disease Management (PedMan) System: Validation and Implementation in Addressing Key Biological Questions

Peacock eye disease, caused by Venturia oleaginea, is a major foliar disease of olive (Olea europaea) in Mediterranean regions, resulting in defoliation, reduced tree vigor, and yield losses. Effective disease management relies on precise fungicide timing. In this study, we validated a decision support system (DSS) named PedMan (Peacock eye disease Manager), designed to predict infection events and optimize fungicide application timing in highly susceptible olive cultivars based on rainfall and temperature conditions. The system was validated in seven independent grove experiments conducted during the 2023/24 and 2024/25 growing seasons in commercial olive orchards in Israel. In addition, simulation analyses were performed using weather data from 11 meteorological stations representing diverse climatic regions. Field validation showed that fungicide applications timed according to PedMan significantly reduced leaf abscission by approximately 60% compared with untreated controls. Applications made contrary to system recommendations did not improve disease control, confirming the reliability of both positive and negative predictions. Multi-season analyses indicated cumulative disease suppression, with up to 85% reduction in leaf abscission after three consecutive years of correctly timed applications. The system was implemented by olive growers in 2025/6 with applicable success. Simulation results showed that most infection events occurred in autumn and early winter, with rainfall as the primary driver in autumn and temperature as the main limiting factor in winter and spring. Across all regions and seasons, PedMan recommended 0-3 fungicide applications per season, comparable to or fewer than conventional spray programs. These findings demonstrate that PedMan is a robust, field-validated DSS that improves fungicide timing, enhances disease control efficiency, and supports sustainable management of peacock eye disease without increasing spray frequency under Mediterranean conditions.

plant biology↗

Autotrophic growth of E. coli is achieved by a small number of genetic changes

Synthetic autotrophy is a promising avenue to sustainable bioproduction from CO2. Here, we use iterative laboratory evolution to generate several distinct autotrophic strains. Utilising this genetic diversity, we identify that just three mutations are sufficient for E. coli to grow autotrophically, when introduced alongside non-native energy (formate dehydrogenase) and carbon-fixing (RuBisCO, phosphoribulokinase, carbonic anhydrase) modules. The mutated genes are involved in glycolysis (pgi), central-carbon regulation (crp), and RNA transcription (rpoB). The pgi mutation reduces the enzymes activity, thereby stabilising the carbon-fixing cycle by capping a major branching flux. For the other two mutations, we observe down-regulation of several metabolic pathways and increased expression of native genes associated with the carbon-fixing module (rpiB) and the energy module (fdoGH), as well as an increased ratio of NADH/NAD+ - the cycles electron-donor. This study demonstrates the malleability of metabolism and its capacity to switch trophic modes using only a small number of genetic changes and could facilitate transforming other heterotrophic organisms into autotrophs.

synthetic biology↗