Raman microscopy tracks maturity of melanin intermediates in Botrytis cinerea , a plant pathogen.
Victor V VolkovAyesha SadafCarole C PerryPublished in: RSC advances (2023)
We use Raman microscopy to describe the structure and chemical composition of both conidiophore and hyphae of Botrytis cinerea , a common plant pathogen. To interpret experimental data, we use density functional theory (DFT) to compute Raman tensors specific to an important fungal glycopeptide, a segment of α-chitin, and several naphthalene-based precursors of increasing complexity, which we propose play a role in the melanin synthesis pathway. Using spectral interpretations based on quantum chemical validation, we review microscopy images reconstructed for specific Raman activities and describe differences in distributions of structural components, photo-protective secondary naphthalene-based pigments, and proteins in both spores and hyphal filaments. Comparison of our results with literature data on other fungi suggests an example of convergent evolution expressed at the level of secondary metabolites specific to plant pathogenic fungi. Our results indicate that pre-resonant Raman monitoring of melanin precursors may help assessment of local Botrytis population biology to aid agricultural production.
Keyphrases
- label free
- density functional theory
- optical coherence tomography
- single molecule
- high resolution
- molecular dynamics
- candida albicans
- raman spectroscopy
- high speed
- electronic health record
- high throughput
- cell wall
- big data
- risk assessment
- magnetic resonance imaging
- heavy metals
- deep learning
- magnetic resonance
- mass spectrometry
- convolutional neural network
- human health
- machine learning
- plant growth