Invasive plants have caused great economic losses and environmental problems worldwide. Eupatorium adenophorum is one of the most invasive weeds in China. To better understand its invasive mechanisms, in the present paper, the microbial communities of healthy and diseased leaves of E. adenophorum were obtained using both culture-independent and -dependent methods and their diversities were compared. The bacteria obtained from culture-independent method belong to Proteobacteria (95.8%), Actinobacteria (2.1%), and Firmicutes (2.1%) and fungi belong to Ascomycota (65.2%) and Basidiomycota (34.8%). Very few overlapped microbial species were found by culture-dependent and -independent methods. Healthy leaves display higher bacterial diversity than diseased leaves. Phylogenetic structures are very different between healthy and diseased phyllosphere microbial communities. Bacteria close to Acinetobacter and Pseudomonas were dominant on healthy leaves, whereas those close to Shigella were dominant on diseased leaves. 52.9% of fungal clones from healthy leaves were Ustilaginomycetes, close to Rhodotorula phylloplana and uncultured basidomycete; by contrast, 60% of clones from diseased leaves were Lecanoromycetes, close to Umbilicaria muehlenbergii. No bacteria but four fungal strains phylogenetically close to Myrothecium sp. and Alternaria alternate were pathogenic to seedlings and detached leaves of the invasive plant. Therefore, this plant may be resistant to pathogens from bacteria but not fungi in its introduced range.
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http://dx.doi.org/10.1007/s12275-010-9185-y | DOI Listing |
Inflammopharmacology
December 2024
Department of Pharmacology, Faculty of Pharmacy, The Islamia University of Bahawalpur, Bahawalpur, 63100, Punjab, Pakistan.
Juice and decoction of leaves of Suaeda fruticosa, a halophytic medicinal plant of Cholistan desert, is traditionally used to treat rheumatism. The current study was carried out to probe into in vivo anti-nociceptive, anti-inflammatory, and anti-arthritic potential of ethanolic extract of the whole plant of S. fruticosa (Et-SF) and its bioactive molecules.
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View Article and Find Full Text PDFSci Rep
December 2024
Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, 650504, China.
Potato late blight is a common disease affecting crops worldwide. To help detect this disease in complex environments, an improved YOLOv5 algorithm is proposed. First, ShuffleNetV2 is used as the backbone network to reduce the number of parameters and computational load, making the model more lightweight.
View Article and Find Full Text PDFJ Agric Food Chem
December 2024
Key Laboratory of Microbial Pesticides (Ministry of Agriculture and Rural Affairs), National Biopesticide Engineering Research Centre, Hubei Biopesticide Engineering Research Centre, Hubei Academy of Agricultural Sciences, Wuhan 430064, China.
This study investigates a novel antimicrobial peptide AtR905 derived from the endophytic fungus , which was successfully expressed in , purified, and characterized, and highlighted as a promising potential biocontrol agent against various plant pathogens. The results indicated AtR905 exhibited broad-spectrum antimicrobial activities against key pathogens such as and with very low minimal inhibitory concentrations (MICs). Stability tests confirmed that AtR905 retains its antimicrobial properties under varying thermal, pH, and UV conditions.
View Article and Find Full Text PDFMethods Mol Biol
December 2024
School of Biological Sciences, Victoria University of Wellington, Wellington, New Zealand.
The detached leaf assay is a valuable method for studying plant-pathogen interactions, enabling the assessment of pathogenicity, plant resistance, and treatment effects. In this protocol, we outline how to set up a Phytophthora detached leaf assay and use non-expert machine learning tools to increase the reliability and throughput of the image analysis. Utilizing ilastik for pixel classification and Python scripts for segmentation, manual correction, and temporal linking, the pipeline provides objective and quantitative data over time.
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