Trends in Plant Science
Understanding the complex relationships between plants, their microbiomes, and environmental changes is crucial for improving growth and survival, especially for long-lived tree species. Trees, like other plants, maintain close associations with a multitude of microorganisms on and within their tissues, forming a 'holobiont'. However, a comprehensive...
Most high-yielding crops are susceptible to abiotic and biotic stresses, making them particularly vulnerable to the potential effects of climate change. A possible alternative is to accelerate the domestication of wild plants that are already tolerant to harsh conditions and to increase their yields by methods such as gene editing. We foresee that crops’...
Recent research reveals that plant mRNAs, packaged in extracellular vesicles, are delivered into fungal pathogen cells. Remarkably, the transferred mRNAs are translated by fungal ribosomes, generating functional proteins that impede infection. These findings offer new promising avenues to modify cellular performance by rapid delivery of mRNAs in plant-derived...
To resist biotic attacks, plants have evolved a sophisticated, receptor-based immune system. Cell-surface immune receptors, which are either receptor-like kinases (RLKs) or receptor-like proteins (RLPs), form the front line of the plant defense machinery. RLPs lack a cytoplasmic kinase domain for downstream immune signaling, and leucine-rich repeat...
During the course of terrestrial evolution, plants have developed complex networks that involve the coordination of phytohormone signalling pathways in order to adapt to an ever-changing environment. Transcription factors coordinate these responses by engaging in different protein complexes and exerting both positive and negative effects. ABA INSENSITIVE...
Hyperspectral remote sensing (HRS) can capture plant disease characteristics through spectral and spatial features. The four criteria (diversity, robustness, relevance, and parsimony) for spectral feature selection can be applied to detect and differentiate different plant diseases. Monitoring algorithms (supervised classification methods and physically...
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